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Python Weighted Random
[ "Created a Sample from Weighted Random Choice", "Random weighted choice", "Robust weighted random string generator", "Weighted random choice from a variable length text file", "How can I build a weighted random list?", "Weighted random from int list", "Weighted count of words in string using python", "Weighted random numbers in Python from a list of values", "python, weighted linspace", "Weighted mean in numpy/python", "How to do weighted random sample of categories in python", "Combinations of weighted elements in a set where weighted sum equal to fixed integer (in python)", "Weighted mean with Numpy in file txt", "weighted counting in python", "Weighted average pandas", "Random Python dictionary key, weighted by values", "Weighted random sample without replacement in python", "Generating weighted random numbers", "weighted random for one value only", "Pandas Weighted Mean", "Weighted Search and Sort Python", "A weighted version of random.choice", "Pandas Random Weighted Choice", "Weighted random sample in python", "Python: weighted violinplots", "How can I get a weighted random pick from Python's Counter class?", "Weighted output by comparing strings in python", "Adding random weighted point", "Generate a list of random weighted tuples from a list", "Weighted random selection with and without replacement" ]
[ 0.9068422317504883, 0.9432874917984009, 0.886859655380249, 0.8917471766471863, 0.890958845615387, 0.9339560270309448, 0.8911871314048767, 0.9271349310874939, 0.9170716404914856, 0.9109773635864258, 0.8981345295906067, 0.877810537815094, 0.8871349096298218, 0.9321351647377014, 0.9029749631881714, 0.9290028810501099, 0.92392897605896, 0.9285871982574463, 0.9181164503097534, 0.8958597183227539, 0.920907735824585, 0.9246408939361572, 0.9376137256622314, 0.9579124450683594, 0.8945044279098511, 0.8889243602752686, 0.8918032646179199, 0.932860255241394, 0.9082896709442139, 0.879205048084259 ]
[ 0.8978981971740723, 0.9142813086509705, 0.8679021596908569, 0.8959131240844727, 0.8833135366439819, 0.9144289493560791, 0.8946207761764526, 0.922673225402832, 0.9144585728645325, 0.91002357006073, 0.9066974520683289, 0.8665438294410706, 0.9034809470176697, 0.9248745441436768, 0.8892109990119934, 0.9332667589187622, 0.920653223991394, 0.9075434803962708, 0.907246470451355, 0.9079828262329102, 0.9204160571098328, 0.9123497009277344, 0.9409695267677307, 0.9537169933319092, 0.8937464952468872, 0.8966934680938721, 0.8935116529464722, 0.9115858674049377, 0.8800040483474731, 0.8694242835044861 ]
[ 0.8978756666183472, 0.9118649363517761, 0.8739644289016724, 0.8784857392311096, 0.8654263019561768, 0.9158550500869751, 0.9066632986068726, 0.9313663244247437, 0.9097529649734497, 0.9130812883377075, 0.9052340984344482, 0.8746051788330078, 0.8896809816360474, 0.9338711500167847, 0.9111769199371338, 0.9274240732192993, 0.9203321933746338, 0.9216415882110596, 0.9004658460617065, 0.9198351502418518, 0.9242388010025024, 0.9099596738815308, 0.9408272504806519, 0.959969162940979, 0.9055154323577881, 0.8817228078842163, 0.9029539823532104, 0.9143969416618347, 0.8781851530075073, 0.8568120002746582 ]
[ 0.8125835061073303, 0.8251632452011108, 0.7350744009017944, 0.8052430152893066, 0.8449863791465759, 0.8765628337860107, 0.7342162728309631, 0.9043997526168823, 0.7783409357070923, 0.8019134998321533, 0.8406106233596802, 0.7659755945205688, 0.7368893623352051, 0.8248920440673828, 0.7170930504798889, 0.8223675489425659, 0.8415164351463318, 0.8762312531471252, 0.8636274337768555, 0.7298486232757568, 0.7662938833236694, 0.8179491758346558, 0.8155431151390076, 0.9235979318618774, 0.6865893602371216, 0.8353553414344788, 0.7582895755767822, 0.8358373045921326, 0.8424792289733887, 0.7488109469413757 ]
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matplotlib: how to change data points color based on some variable
[ "Matplotlib - plot with a different color for certain data points", "how to color data points based on some rules in matplotlib", "Matplotlib line width based on axis, not on points", "How to I change line color after calling matplotlib plot?", "How can I get the color of the last figure in matplotlib?", "Matplotlib Scatter plot change color based on value on list", "Matplotlib: Color bar not working as it should?", "Custom color mapping based on function in matplotlib", "why two points can't show in the figure (matplotlib)?", "Python: How to print the value of variable in color", "Color and Line writing using MatPlotLib", "color certain points a different color matrix matplotlib", "Using a loop variable to specify color in matplotlib", "Getting a sample color in matplotlib", "Different color points from an array in matplotlib animation", "How to manually set the string to color in python matplotlib?", "How to plot points in different color?", "matplotlib using different default color and interface", "How to convert data values into color information for matplotlib?", "set rgba color of points in matplotlib", "How to change color in Python?", "use matplotlib color map for color cycle", "How to set a color bar range in Matplotlib?", "MatPlotLib Scatter Plot Points All Have Same Color", "Python matplotlib image + points plot", "Change color of matplotlib.pyplot points", "Changing line color in matplotlib based on logic", "Connect points with same value in python matplotlib", "Matplotlib showing points only - not line", "Assign color to points (x,y)" ]
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[ 0.8765665292739868, 0.8711439371109009, 0.6122391819953918, 0.7137798070907593, 0.6605311632156372, 0.7950688600540161, 0.642664909362793, 0.7486894726753235, 0.5630184412002563, 0.6695815324783325, 0.6607688665390015, 0.797605037689209, 0.7923905849456787, 0.7044385671615601, 0.7421230673789978, 0.7238870859146118, 0.7941980361938477, 0.6719144582748413, 0.811841607093811, 0.7518595457077026, 0.7199255228042603, 0.6776525378227234, 0.7020788192749023, 0.7200980186462402, 0.6455007195472717, 0.8252038359642029, 0.7879120707511902, 0.6355800032615662, 0.5914286971092224, 0.7402005195617676 ]
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What is the difference between slice assignment that slices the whole list and direct assignment?
[ "Python: Pass by reference and slice assignment", "Add numpy array elements/slices with same bin assignment", "Or in assignment", "Python assignment with or", "Python and assignment", "assignment in string", "Slice Assignment with a String in a List", "Assignment with \"or\" in python", "List assignment with [:]", "Python list assignment", "Python assignment with AND and OR", "One line if assignment in python", "numpy slice assignment", "Difference between list assignment and tuple assignment?", "String assignment", "Python List assignment error", "List assignment", "Code for an assignment", "value assignment in python", "How assignment works with python list slice", "List's assignment in python", "assignment in python", "List assignment to other list", "python variable assignment using time slices", "Class import and assignment in Python", "Assignment in list slice in Python", "Why does Python assignment not return a value?", "LIST ASSIGNMENT ERROR", "Slice assignment modifes original list", "What is this assignment? Python" ]
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pip3 install pyautogui fails with error code 1 Mac OS
[ "Cannot install pip install pyautogui, error code 1", "Pyautogui don't work in game window", "Pip3 trying to install in wrong python directory", "How to increase number of clicks per second with pyautogui?", "Python3 pip3 can't install requests", "import error for pyautogui", "Using Python module pyautogui, to take a screenshot and auto name the .png file by date&time", "PyautoGui 3.6 import Error", "Noob: pyautogui code", "install pip3 for conda", "Python pyautogui window handle", "How to print out 'Live' mouse position coordinates using pyautogui?", "PyAutoGui click permissions error", "SyntaxError: invalid syntax on an 'if' command in Python 3.6 (PyAutoGUI code)", "phyton3 pip and pyautogui install mac -remove broken python", "better way to automate mouse&keyboard using pyautogui", "pip or pip3 to install packages for Python 3?", "How to use pip3 for python 3.6 instead of python 3.5?", "pip3 fails but pip works fine with virtualenv", "How to install pip3 on Windows?", "Python 3 pyAutoGUI - I can't use screenshot functions", "How to select 'All' from dropdown using Selenium/Pyautogui on Python", "Pyautogui click not clicking properly", "pyautogui crashes whenever it clicks", "Pyautogui TypeError: 'NoneType' object is not iterable", "Pyautogui Screenshot Functions return AttributeError 'module' object has no attribute", "Error when trying to install pyautogui", "UnicodeDecodeError: can't install PyAutoGUI using pip install", "Installing PyAutoGui on multiple versions of Python", "How to get pip3 to work on Linux" ]
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fitting a linear surface with numpy least squares
[ "Multiple linear regression for a surface using NumPy - example", "python nonlinear least squares fitting", "Strange plot after linear regression using Numpy's least squares", "Fitting two non-linear models to data", "non linear least square fitting with the variable as the integration limit", "Non-linear curve-fitting program in python", "Fitting SIR model based on least squares", "Error in fitting the model", "Non-linear Least Squares Fitting (2-dimensional) in Python", "Python least squares with scipy.integrate.quad", "Least Squares method in practice", "Least Squares: Python", "Python linear least squares function not working", "Orthogonal regression fitting in scipy least squares method", "Least squares not working for a set of y's", "using python to do 3-D surface fitting", "fitting data with numpy", "Lorentz fitting issue", "Python: two-curve gaussian fitting with non-linear least-squares", "Python Least Squares for multiple variables", "Function which returns the least-squares solution to a linear matrix equation", "Linear least-squares solution for 3d inputs", "Constraining the least squares fitting in python", "Python linear fitting with multiple error bars", "least squares curve fitting", "Using NumPy functions in Cython for least-squares fitting of array elements", "How can I perform a least-squares fitting over multiple data sets fast?", "Least squares fit in python for 3d surface", "Fitting multimodal distrubtions", "Integer Linear Least Squares" ]
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Memory profiler for numpy
[ "Which Python memory profiler is recommended?", "Interpreting Python profiler", "Is there a memory profiler for python2.7?", "Python memory_profiler: memory usages does not add up", "pip install line_profiler fails", "How do you get the Python profiler to work?", "Why does line_profiler in python not add up the times correctly?", "Trying to understand python memory profiler", "Python line profiler results inconsistent", "Identifying memory leak in python - Memory Profiler", "Missing output from pyspark's profiler", "Python Profiler garbage", "Total time in python's line profiler is strange", "Interpreting the output of python memory_profiler", "How to use memory_profiler (python module) with class methods?", "Memory Profiler giving constant memory in all steps", "How to fix pip being proken after installing line_profiler?", "python line profiler view result", "Python line_profiler not finding module", "log a report from memory_profiler", "Python profiler usage with objects", "python profiler not available in Intellij 15.0.2", "How to know if a python programming is running under a profiler?", "Is there a way to annotate Python source code with the profiler results?", "Python line-by-line memory profiler?", "Python memory_profiler inconsistent plots", "How to create visual profiler?", "Python profiler and CPU seconds", "Python 3 memory profiler or simple alternative", "Python profiler not giving enough information" ]
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How to access a matrix in an .Rdata file in Python using rpy2
[ "Loading .RData files into Python", "Call R library DirichletReg from Python using rpy2", "DNS rdata parsing with Python", "How to pass a date to R from Python using rpy2", "Using Rblpapi via rpy2", "fitdistr in rpy2", "rpy2 object not found error", "Error when running R function with rpy2", "Add column to DataFrame in rpy2", "Matrix assignment in rpy2", "Calling R script from python using rpy2", "Similar .rdata functionality in Python?", "How can I import a character vector from R saved as RData to a python list?", "rpy2 convert Matrix -> DataFrame", "Getting part of R object from python using rpy2", "Pass list from python to R through rpy2", "How can I import a data frame from R saved as RData to pandas?", "How do I set up rpy2?", "rPy2 slice matrix", "Can I use rpy2 to save a pandas dataframe to an .Rdata file?", "Using rpy2 and biomaRt in Django", "save RData workspace in Python using rpy2", "How can I import a matrix from R saved as RData to a pandas data frame without losing the column names of the R matrix?", "How can I generate CDdiagrams using Python/rpy2", "equivalent of \"$\" in rpy2?", "How to use bioconductor from rpy2?", "How to use the variable from the python in rpy2?", "is it possible to use pandas objects with rpy2?", "Error reading csv file using rpy2 in python", "What object to pass to R from rpy2?" ]
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What is the difference between "a is b" and "id(a) == id(b)" in Python?
[ "why id(A()) == id(A()) is different to A() is A()?", "Difference between (a not in b) & (not a in b). Python", "Difference between a -= b and a = a - b in Python", "Difference between \"=\" and \"+=\" on python?", "How to import a.b in python?", "What is the difference between b and c?", "Why Use a=b in Python", "Difference between a+b and a.__add__(b)", "Why does id(id) and id(id(id)) always return the same value, while id(id(id(id))) \"loops\" over 3 values?", "What does this function with a, b = b, a + b do?", "Any difference between 'b' and 'c'?", "What is the difference between `a, b = b, a+b` and `a = b; b = a+b` for fibonacci", "Python a, b = b, a +b", "What does b != a & 1 do?", "Get object by id()?", "What is the difference between a[:]=b and a=b[:]", "Is a, b = b, a + b good python?", "Is there a difference between [] and list() when using id()?", "what is the difference between ['[a,a,a]','[b,b,b]'] and [[a,a,a],[b,b,b]] in python?", "What is the difference between a//b and int(a/b)?", "Python: a += b not the same as a = a + b", "Why not import A.B in Python?", "How can I do 'a' + 1 #=> 'b' in python?", "python while id is the same do something", "id() function in Python", "(PYTHON) Until a == b", "What's the difference between _b and b in this place", "How Python's a, b = b, a works?", "What is the difference between b'' and '' in python?", "Difference between a[:] = b and a = b[:]? (Python)" ]
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[ 0.9146288633346558, 0.8999600410461426, 0.9061193466186523, 0.8846731781959534, 0.8526676297187805, 0.8398056030273438, 0.8783713579177856, 0.8844851851463318, 0.8712266683578491, 0.8364874124526978, 0.8585841059684753, 0.8751933574676514, 0.8594453930854797, 0.8331197500228882, 0.8412050008773804, 0.8914388418197632, 0.8651692867279053, 0.891841471195221, 0.8964112997055054, 0.8859668970108032, 0.870612382888794, 0.8607091307640076, 0.8804177045822144, 0.8626918196678162, 0.8777720928192139, 0.8541737794876099, 0.8565893173217773, 0.8864363431930542, 0.9079149961471558, 0.920288622379303 ]
[ 0.9321432709693909, 0.8736129999160767, 0.8907606601715088, 0.8853847980499268, 0.8314598798751831, 0.8435537815093994, 0.8738857507705688, 0.8668857216835022, 0.8955026865005493, 0.8369008302688599, 0.8528670072555542, 0.8782533407211304, 0.8425489664077759, 0.8413430452346802, 0.8481680154800415, 0.8909193873405457, 0.8515616059303284, 0.9001120328903198, 0.8748965859413147, 0.8789136409759521, 0.8617830872535706, 0.8443277478218079, 0.8634103536605835, 0.8591516613960266, 0.8766103982925415, 0.8645572662353516, 0.8486906290054321, 0.8791546821594238, 0.9024721384048462, 0.9071493148803711 ]
[ 0.899416446685791, 0.7540416121482849, 0.8228162527084351, 0.7610706090927124, 0.5687549114227295, 0.5767067670822144, 0.7954716682434082, 0.729395866394043, 0.7785091400146484, 0.665377140045166, 0.6320579051971436, 0.702468752861023, 0.7118148803710938, 0.6251517534255981, 0.6095774173736572, 0.7496016025543213, 0.7176395654678345, 0.7324902415275574, 0.664142906665802, 0.652235746383667, 0.7683097124099731, 0.5834841132164001, 0.6969420909881592, 0.6850492358207703, 0.6936612129211426, 0.7474641799926758, 0.6846505403518677, 0.7861413955688477, 0.6638426780700684, 0.7743258476257324 ]
[ 0.8440990447998047, 0.6583155989646912, 0.7612019777297974, 0.6774579286575317, 0.5152527689933777, 0.4905082583427429, 0.7701101899147034, 0.6184076070785522, 0.6849899291992188, 0.5498183965682983, 0.5050324201583862, 0.5893337726593018, 0.682786226272583, 0.5525621175765991, 0.5258628726005554, 0.657372236251831, 0.6746321320533752, 0.646741509437561, 0.5928529500961304, 0.5405882000923157, 0.7300764322280884, 0.5277283787727356, 0.6486634016036987, 0.6543934345245361, 0.6438636183738708, 0.720129132270813, 0.5675159692764282, 0.744583010673523, 0.5853015184402466, 0.7178740501403809 ]
[ 0.8936636447906494, 0.7499203681945801, 0.8110558986663818, 0.7532597780227661, 0.5899724960327148, 0.5950429439544678, 0.7894896268844604, 0.7213336825370789, 0.7645106315612793, 0.6538668870925903, 0.6606729030609131, 0.708980143070221, 0.7027912139892578, 0.6442545652389526, 0.6285991072654724, 0.749238908290863, 0.7148834466934204, 0.745668351650238, 0.6768343448638916, 0.6754887104034424, 0.7672383785247803, 0.6107649803161621, 0.7048017382621765, 0.6799596548080444, 0.6950786709785461, 0.7355097532272339, 0.6907979846000671, 0.7740144729614258, 0.6875426173210144, 0.7765706777572632 ]
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Flask: How to manage different environment databases?
[ "Flask Manage Dev Live Databases on Elastic Beanstalk", "Django databases and threads", "which databases does web.py support?", "DjangoModelPermission with multiple databases", "Flask import error", "Different databases with the same models on Django", "Django use multiple databases", "Flask Import Error", "I'm new to databases and trying to get used to them using Flask- SQLAlchemy", "Flask app getting error of \"could not locate flask application. .....FLASK_APP environment variable\" for Flask Migrate", "How to get list of all databases and run query on it in python", "Manage Environment Variables", "duplicate values between databases", "Django and multiple databases", "Flask-SQLAlchemy - When are the tables/databases created and destroyed?", "Using webix with flask", "Flask-SQLAlchemy - how do sessions work with multiple databases?", "Django multidb: write to multiple databases", "Different databases for different apps in Django", "Flask doesn't see environment variables", "How to store environment variables in a Python Flask app?", "Can't \"define\" two databases in the same file of Python?", "Connect to two databases", "Configuring Flask-SQLAlchemy to use multiple databases with Flask-Restless", "Run SQL in several different databases with Flask-SQLAlchemy", "Run multiple different flask apps with manage.py (flask-script)", "Unable to reflect databases in flask sqlalchemy", "how can i list MySQL databases in a Python array", "What is overwatch in python and flask?", "List of Python Object Databases" ]
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[ 0.7578375339508057, 0.5310150384902954, 0.603083610534668, 0.5733073949813843, 0.6152735948562622, 0.6413166522979736, 0.6895860433578491, 0.6152735948562622, 0.6822777986526489, 0.7102011442184448, 0.5591704845428467, 0.676727831363678, 0.5156666040420532, 0.6851886510848999, 0.6837310791015625, 0.5735428929328918, 0.7323811054229736, 0.6081035137176514, 0.7230676412582397, 0.7663525938987732, 0.8101868033409119, 0.6773817539215088, 0.5532975196838379, 0.7424302697181702, 0.7637816667556763, 0.7155646085739136, 0.7006655931472778, 0.5248913764953613, 0.518102765083313, 0.5673118829727173 ]
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Text-to-ASCII art generator in Python
[ "How to easily print ascii-art text?", "Python Curses - Printing Ascii Art", "Ascii art that is continually replaced", "How to match ASCII art segments within ASCII art?", "Python from generator to list", "Displaying ASCII-art in TKinter", "What does \"for i in generator():\" do?", "Python: Printing ASCII Art Problems", "Print full ascii art", "converting plain ascii math or ascii art to mathml / latex", "Making ASCII art print on the same line", "python generator", "ASCII art in the optparse description", "How to return a generator in Python", "Python generator to list", "What is the most state-of-the-art, pure python, XML parser available?", "Making diamond ASCII art with Python", "Does a generator know about the generator function?", "Asterisk art in python", "What's the state-of-the-art in Python programming in Windows?", "Vertically flip ASCII art with Python", "Why isn't this ASCII art printing on multiple lines despite being a multiline string?", "Text file generator using Python", "Add Custom Art to ToolBar", "Printing ASCII art from a file", "Ascii Art in Python not printing in one line", "including ascii art in python", "ASCII Art With Letters", "is there any way to pass parameter for art_work for t300x300 image?", "About generator in Python" ]
[ 0.9119405150413513, 0.9050754904747009, 0.8758991956710815, 0.8866025805473328, 0.8813266754150391, 0.900509238243103, 0.8428154587745667, 0.9236137866973877, 0.8984692096710205, 0.8764300346374512, 0.8977876901626587, 0.8848061561584473, 0.8864398002624512, 0.864299476146698, 0.889443576335907, 0.831585168838501, 0.9158477783203125, 0.7960501909255981, 0.9085021018981934, 0.8534465432167053, 0.9202756881713867, 0.8454564809799194, 0.9174950122833252, 0.8591775894165039, 0.9073952436447144, 0.9109582901000977, 0.9279496669769287, 0.8999258875846863, 0.8427051305770874, 0.8826818466186523 ]
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[ 0.7979870438575745, 0.7423585653305054, 0.7413292527198792, 0.7154105305671692, 0.5151703953742981, 0.7505837678909302, 0.5517578125, 0.8019092679023743, 0.7821556925773621, 0.695854902267456, 0.7279643416404724, 0.6495803594589233, 0.7062650918960571, 0.5822179317474365, 0.5485488176345825, 0.4815542697906494, 0.8018534779548645, 0.4136046767234802, 0.743230938911438, 0.46426767110824585, 0.7333655953407288, 0.6813517808914185, 0.6399579644203186, 0.453235387802124, 0.7940133810043335, 0.7360787391662598, 0.8525888919830322, 0.781230092048645, 0.5347582101821899, 0.5908631086349487 ]
[ 0.8392189741134644, 0.7732213139533997, 0.7950558066368103, 0.7755701541900635, 0.5984796285629272, 0.7910041809082031, 0.6371431350708008, 0.8092077970504761, 0.8126562833786011, 0.77614426612854, 0.7524263858795166, 0.6935253739356995, 0.7777208089828491, 0.6362712383270264, 0.621851921081543, 0.5718931555747986, 0.831398606300354, 0.4857890009880066, 0.7676078081130981, 0.5173466205596924, 0.7711063623428345, 0.7169598340988159, 0.6967867612838745, 0.5495051741600037, 0.8230456113815308, 0.7457169890403748, 0.8552359342575073, 0.8068833351135254, 0.6300798058509827, 0.6162719130516052 ]
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How to disable print statements conveniently so that pythonw can run?
[ "Can I get the output of \"print\" statement in pythonw?", "pythonw.exe processes not quitting after running script", "SSHCommandClientEndpoint. How to disable verifyHostKey?", "How to run Selenium Webdriver with pythonw?", "How to assign range(10) to a ndarray which shape is (10, 1) conveniently in Numpy?", "pythonw.exe is not responding", "Using console_scripts entry_points with pythonw?", "Iterating data store entities conveniently", "pythonw.exe or python.exe?", "Conveniently import several classes from modules in a Python package", "How to capture stdout of a Python script executed with pythonw?", "Split DatetimeIndex into date and time MultiIndex conveniently in Pandas", "Can errors result from using .py files with pythonw?", "Disable DSUSP in Python", "Random \"pythonw.exe has stopped working\" crashing", "Determine if a script is running in pythonw?", "Open pyqt program without console with pythonw", "BaseHTTPRequestHandler hangs when being run by pythonw.exe 3.1", "numpy - How to compare custom dtypes conveniently?", "Module cannot be found when using \"pythonw\" (instead of \"python\") to run an application", "pythonw.exe can't upload file to Amazon S3", "Running a process in pythonw with Popen without a console", "Enabling execution of multi-line statements within the Python's debugger(pdb) conveniently", "Python pythonw subprocess check_output not working", "Python multiprocessing continuously spawns pythonw.exe processes without doing any actual work", "How to read numbers in python conveniently?", "PyQt5 - pythonw.exe crash on handling clicked event", "Pythonw exe spam when using conda", "Python subprocess.call() fails when using pythonw.exe", "Indentify running pythonw programs through cmd start" ]
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Vectorizing Haversine distance calculation in Python
[ "Pairwise haversine distance calculation", "Vectorizing a function in pandas", "Vectorizing a Nested Loop", "How to call data from a dataframe into Haversine function", "Vectorizing a very simple pandas lambda function in apply", "Vectorizing operation on numpy array", "Vectorizing LIst of Unique Words into 0 or 1 using Python", "Pandas: calculate haversine distance within each group of rows", "Python function to calculate distance using haversine formula in pandas", "Vectorizing calculations in pandas", "Vectorizing an element-wise", "Nested For Loops Numpy Array: Is vectorizing possible?", "Vectorizing Numpy for loops", "Vectorizing numpy mask setting", "vectorizing a function of an array of arrays", "Vectorizing an indexing operation in numpy", "Vectorizing function issue in Python", "Vectorizing A Function With Array Parameter", "Vectorizing loops in NumPy", "Vectorizing euclidean distance computation - NumPy", "Trouble vectorizing code", "Vectorizing a Numpy slice operation", "Why is my Python haversine distance calculation wrong compared to online tools and Google Maps?", "vectorizing a for loop in python", "Vectorizing with variable array indices", "Python vectorizing nested for loops", "Vectorizing the addition of results to a numpy array", "python sklearn KDTree with haversine distance", "Vectorizing numpy loops", "Vectorizing a function using column and row index" ]
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hash function in python
[ "What is the default __hash__ in python?", "What does hash do in python?", "Python - class __hash__ method and set", "Nested hash VS hash", "Python hash() function on strings", "How is the return value of __hash__ used?", "Python 3.4 Check Text Value of Hash", "Python - Using the default __hash__ method in __hash__ method definition", "Same hash value but not same object after overriding __hash__", "How to know key in hash by value?", "hash( (-2,2) ) == hash( (2,-2) ) returns True (Python)", "How would i find the string of a hash?", "How do you make an access a hash in python?", "Hash a Range of Values", "Random hash in Python", "hash string size", "Do I need to implement __hash__?", "Problem with hash function: hash(1) == hash(1.0)", "Cannot get same hash in C# as in python", "Python Hash function and Hash Object", "Python Hash of First Image in MultiTIf", "Is this a hash function? python", "Python: no attribue __hash__", "__hash__ function in Python", "Find if a hash in Python has only values of None", "Hash Map in Python", "How to hash a variable in Python?", "Can I hash two strings into one hash?", "What does __hash__ on a Python file object do?", "How to convert python hash of array of hash key to array?" ]
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Cython won't compile on Windows 7 x64
[ "How can I compile an extension using cython?", "How to use Cython to compile Python 3 into C", "Cython code doesn't work", "Compile Scipy function with Cython", "Can Cython compile to an EXE?", "How to import cython function to cython script", "sys_platform is not defined x64 Windows", "Cython compile module in separate directory", "Python: Unable to easy_install (Windows 7 x64)", "cython hidapi write error", "Compiling Python modules on Windows x64", "create a list of object in Cython", "Is there any type for function in Cython?", "cython structure, string from python to cython", "Cython file won't compile", "Python x64 bit on Windows x64 copy file performance evaluation / problem", "Python: How to install mysqldb on windows 7 x64?", "Call C code with cython and cython-code from c", "pylibtiff for x64 windows, download or how do I compile the binaries?", "Cython: how to make an python object as a property of cython class", "Can I compile with Cython through a normal Python script?", "Compile a Cython project and clean", "Cant compile cython with c++", "Difference of C type and compile-time type in Cython", "how to compile multiple files in cython", "Python list to Cython", "Cython with python 3.3", "Cython compile error \"is not a valid module name\"", "How to run pybench with Cython", "I can't compile c++ code with cython" ]
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[ 0.857377827167511, 0.8720037937164307, 0.9091039896011353, 0.8692483305931091, 0.8869470953941345, 0.8556578755378723, 0.8967887163162231, 0.8858522176742554, 0.8950997591018677, 0.865188717842102, 0.8874213695526123, 0.8523792028427124, 0.8340599536895752, 0.847667396068573, 0.9327353239059448, 0.8617573976516724, 0.8643670082092285, 0.849895715713501, 0.8487734794616699, 0.8414876461029053, 0.8618404865264893, 0.8754338026046753, 0.9258010387420654, 0.8510677218437195, 0.8573273420333862, 0.8594905734062195, 0.8573379516601562, 0.8969335556030273, 0.8590438365936279, 0.9308089017868042 ]
[ 0.8124276399612427, 0.8143386840820312, 0.8364530801773071, 0.7998886108398438, 0.8328737020492554, 0.7401746511459351, 0.6831668019294739, 0.71976637840271, 0.6609882116317749, 0.7228937149047852, 0.7306520342826843, 0.6054891347885132, 0.7172051668167114, 0.6695641279220581, 0.9226144552230835, 0.5776656866073608, 0.5579304099082947, 0.7276803255081177, 0.6704919338226318, 0.6903314590454102, 0.8269760608673096, 0.792185366153717, 0.8817272186279297, 0.7337885499000549, 0.7503713965415955, 0.6992074251174927, 0.8247841596603394, 0.8019552230834961, 0.7483017444610596, 0.8678327798843384 ]
[ 0.7895563840866089, 0.7843236923217773, 0.810626745223999, 0.7784179449081421, 0.8168343901634216, 0.6980634927749634, 0.6188770532608032, 0.6903318166732788, 0.6044102907180786, 0.6876788139343262, 0.6641807556152344, 0.5624590516090393, 0.688015341758728, 0.631989061832428, 0.9110154509544373, 0.5147706866264343, 0.4993590712547302, 0.6937347650527954, 0.6240994930267334, 0.634516716003418, 0.8059808015823364, 0.7622984647750854, 0.8656017184257507, 0.7103977203369141, 0.7352958917617798, 0.6601247787475586, 0.7916465997695923, 0.7714723944664001, 0.7058292627334595, 0.8525185585021973 ]
[ 0.8159408569335938, 0.8083434104919434, 0.8265509605407715, 0.8089461326599121, 0.8269476890563965, 0.7439438104629517, 0.6940672993659973, 0.7234604954719543, 0.6770006418228149, 0.7220039367675781, 0.7434447407722473, 0.6221188306808472, 0.717048704624176, 0.6683281660079956, 0.9145840406417847, 0.6017005443572998, 0.6014167666435242, 0.7220569849014282, 0.6897386312484741, 0.7016440629959106, 0.8256147503852844, 0.7912880182266235, 0.8724288940429688, 0.7249673008918762, 0.7536447048187256, 0.7101638317108154, 0.8192378282546997, 0.7914482355117798, 0.746640682220459, 0.861234724521637 ]
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What is a unicode string?
[ "Unicode in Python", "Unicode to string in Python 2", "Using unicode in Python", "Python unicode: how to test against unicode string", "__unicode__() doesn't return a string", "Unicode list to String list Python 2", "String to unicode string", "Unicode() in python 3", "Unicode in python", "Python's unicode", "Python unicode problem", "When should I use Unicode string?", "Unicode python Error", "python: unicode problem", "Unicode to String Python 2", "Unicode - Just print the string", "Python unicode string to string?", "Python - Unicode", "Unicode to string", "Python: How to catenate string and Unicode?", "unicode class in Python", "Python unicode error", "Unicode error in Python 3", "Where is the unicode?", "Python and Unicode", "Python Unicode and MIMEE", "Python string to unicode", "Unicode Error on Python", "Python unicode error" ]
[ 0.8771084547042847, 0.8772982358932495, 0.8726574778556824, 0.8725823163986206, 0.8672076463699341, 0.8605578541755676, 0.9233337640762329, 0.865756630897522, 0.8695594072341919, 0.8793632984161377, 0.8812931180000305, 0.9243720769882202, 0.8543905019760132, 0.8627704381942749, 0.8727556467056274, 0.8662896752357483, 0.9369988441467285, 0.8769494891166687, 0.9164259433746338, 0.878719687461853, 0.8660765290260315, 0.8738269209861755, 0.8328543901443481, 0.915454626083374, 0.8770542740821838, 0.8555890917778015, 0.9139559864997864, 0.8440096974372864, 0.8738269209861755 ]
[ 0.8351722955703735, 0.8618384599685669, 0.8527300953865051, 0.8637899160385132, 0.8548927307128906, 0.8329314589500427, 0.8905394673347473, 0.8286730051040649, 0.8326263427734375, 0.867084264755249, 0.8601436614990234, 0.8959892988204956, 0.8218977451324463, 0.8479669690132141, 0.8588823080062866, 0.8482540845870972, 0.902546763420105, 0.8375151753425598, 0.8820134401321411, 0.856164813041687, 0.8533933162689209, 0.8569833636283875, 0.8246562480926514, 0.9050986170768738, 0.839444637298584, 0.8235067129135132, 0.8986538648605347, 0.8325817584991455, 0.8569833040237427 ]
[ 0.8178219795227051, 0.8448774814605713, 0.832964301109314, 0.8636187314987183, 0.8447469472885132, 0.8192956447601318, 0.8847065567970276, 0.8192174434661865, 0.82184898853302, 0.8578052520751953, 0.8352031707763672, 0.9093332886695862, 0.8193686604499817, 0.8337922692298889, 0.8363194465637207, 0.8571214079856873, 0.8918375968933105, 0.8324787616729736, 0.8939322233200073, 0.8485981225967407, 0.829919695854187, 0.8393949270248413, 0.8168466091156006, 0.9038196802139282, 0.8393982648849487, 0.8287356495857239, 0.8705241084098816, 0.8226718306541443, 0.8393949270248413 ]
[ 0.7961853742599487, 0.7766226530075073, 0.7746633291244507, 0.7989222407341003, 0.7445030212402344, 0.6949994564056396, 0.8285236358642578, 0.7655604481697083, 0.7961853742599487, 0.8085895776748657, 0.7371253967285156, 0.8723157644271851, 0.7306340336799622, 0.744400680065155, 0.7704540491104126, 0.7693423628807068, 0.7974258661270142, 0.7883777618408203, 0.8274610042572021, 0.7479185461997986, 0.7823623418807983, 0.7362528443336487, 0.711778461933136, 0.7966436743736267, 0.7805061340332031, 0.693561315536499, 0.8020564317703247, 0.733533501625061, 0.7362527847290039 ]
[ 0.7669256329536438, 0.7541332244873047, 0.7363746762275696, 0.7607368230819702, 0.7263010740280151, 0.6658474206924438, 0.8261361718177795, 0.7294009923934937, 0.7669256329536438, 0.7763949632644653, 0.7024194598197937, 0.8475468158721924, 0.692882776260376, 0.7125521898269653, 0.7484297156333923, 0.7741117477416992, 0.7694242000579834, 0.7602262496948242, 0.8304287195205688, 0.7162034511566162, 0.7417862415313721, 0.6987547874450684, 0.6572620868682861, 0.7610360383987427, 0.7433083057403564, 0.6368581056594849, 0.7792478799819946, 0.6951626539230347, 0.6987547874450684 ]
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Check if two unordered lists are equal
[ "Check for equal lists", "Test if two lists of lists are equal", "How to use unordered_map in cython?", "Unordered collection - sets in python", "Dictionary - unordered, but prints in reverse, why?", "Python extract all unordered list from a web page", "Make a python nested list for use in Django's unordered_list", "Unordered list generation in python", "Unordered set or similar in Spark?", "Python: .pop() on unordered sets", "Efficient unordered substing matching", "How to set node-data in list at specific index, unordered list in python?", "check if two lists are equal by type Python", "combine two dataframes with same index (unordered)", "'order' of unordered Python sets", "How to efficiently compare two unordered lists (not sets) in Python?", "How to match unordered things in pyPEG?", "Form an unordered list with regex", "Python Unordered Listwith nodes: __str__ method", "Formatting an unordered string in python", "Why python set displays in \"same\" order if sets are unordered?", "A way to guarantee ordering of key/value list from unordered dictionary?", "add unique unordered sets to list", "How can I simplify \"for x in a for y in b for z in c ...\" with the unordered?", "How to iterate a unordered list in Python Selenium", "requests module return json with items unordered", "Unordered type error: int stored as string", "Outputting HTML unordered list python", "How do I compare two unordered lists of lists with unordered lists inside of them?", "Pythonic Way to compare two unordered lists by attributes" ]
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[ 0.9387072920799255, 0.9555883407592773, 0.8443330526351929, 0.8611645698547363, 0.823206901550293, 0.8624840378761292, 0.8586491942405701, 0.8783234357833862, 0.845353364944458, 0.8571845293045044, 0.828155517578125, 0.8364170789718628, 0.9350196123123169, 0.87412428855896, 0.8836865425109863, 0.9054656028747559, 0.8726168274879456, 0.9069816470146179, 0.8419384360313416, 0.8528872728347778, 0.8591436147689819, 0.8547260761260986, 0.8899915218353271, 0.83072429895401, 0.8656821250915527, 0.8467628955841064, 0.837161123752594, 0.8606666326522827, 0.909946084022522, 0.9078450202941895 ]
[ 0.9294716119766235, 0.9484649896621704, 0.8440194129943848, 0.8625550270080566, 0.8363521099090576, 0.8601489663124084, 0.8622151613235474, 0.8734071254730225, 0.859656810760498, 0.873789370059967, 0.8287637233734131, 0.829392671585083, 0.9212568998336792, 0.8704969882965088, 0.8692718148231506, 0.9068818092346191, 0.8516483306884766, 0.8810936212539673, 0.8476663827896118, 0.850487232208252, 0.8650455474853516, 0.8597441911697388, 0.8841075897216797, 0.8522179126739502, 0.8585091829299927, 0.8375504612922668, 0.8555563688278198, 0.854089617729187, 0.9083315134048462, 0.9047806262969971 ]
[ 0.8510251045227051, 0.8271855115890503, 0.6210377812385559, 0.7455110549926758, 0.6122944355010986, 0.6785789728164673, 0.6793394684791565, 0.7386935949325562, 0.6153600215911865, 0.6901163458824158, 0.6662708520889282, 0.6845302581787109, 0.8271498084068298, 0.6455397605895996, 0.7248832583427429, 0.8622887134552002, 0.7238770723342896, 0.7229698300361633, 0.6803613901138306, 0.6605160236358643, 0.7163815498352051, 0.7126122713088989, 0.7483950853347778, 0.694080114364624, 0.7078369855880737, 0.6181552410125732, 0.636590838432312, 0.6934918165206909, 0.8916134238243103, 0.8724788427352905 ]
[ 0.8169066905975342, 0.7961518168449402, 0.5365326404571533, 0.6514374017715454, 0.5025231242179871, 0.5941689014434814, 0.5699759721755981, 0.6722437143325806, 0.5194252729415894, 0.5775293111801147, 0.6185998916625977, 0.5776711702346802, 0.7994735240936279, 0.5849510431289673, 0.6306881904602051, 0.8171707391738892, 0.6456890106201172, 0.6529384851455688, 0.5780571103096008, 0.5554461479187012, 0.6265652775764465, 0.6215689182281494, 0.6590689420700073, 0.5955867767333984, 0.6225519180297852, 0.5291192531585693, 0.5308011174201965, 0.6104803085327148, 0.8631849884986877, 0.817600429058075 ]
[ 0.8546679019927979, 0.8346796035766602, 0.6358802318572998, 0.7412462830543518, 0.624489426612854, 0.6823237538337708, 0.678531289100647, 0.736803412437439, 0.6359643936157227, 0.6899192929267883, 0.6547713279724121, 0.6804496645927429, 0.8326871395111084, 0.6750105619430542, 0.7231048345565796, 0.8589408993721008, 0.7313855886459351, 0.7224224805831909, 0.6682089567184448, 0.6771019697189331, 0.717505693435669, 0.7180980443954468, 0.7486124634742737, 0.6974409818649292, 0.7072319984436035, 0.6383461356163025, 0.6480387449264526, 0.6927504539489746, 0.8855953812599182, 0.860004723072052 ]
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How do I write a python macro in libreoffice calc to send and receive data
[ "How do I write a python macro in libreoffice writer to send a receive data", "Python call doskey macro", "How do I write a python macro in libreoffice calc to cope with merged cells when inserting external data", "How does this macro work?", "Calc not work correctly in python", "Preferred method of \"deploying\" python scripts to LibreOffice during macro development?", "How to run python macros in LibreOffice?", "Libreoffice 4.1 cannot create UnoUrlResolver", "Macro to get document contents preserving hyphenation in libreoffice writer", "Call macro from Python script?", "Will adding Python to a machine with LibreOffice interfere with LibreOffice Python macro execution?", "How do I insert text as Italic or Bold etc with a python macro in libreoffice writer", "Get database from LibreOffice Base with python", "Copying cells from Libreoffice Calc to IPython console in Spyder", "How to read contents of a LibreOffice writer annotation from a python macro", "Updating a previously opened LibreOffice spreasdsheet via Python script without closing LibreOffice", "Incessant pywintypes.com_error in Python when trying to run a macro", "How to import data from LibreOffice Calc to a SQL database?", "Run a Catia macro with a python script", "How do I test in a LibreOffice python macro whether I'm in a Writer or Calc document?", "Can't run Python macro in LibreOffice", "Access to LibreOffice's Compare Documents using python", "Python macro for LibreOffice - replace string in text", "How to get the Style name of a paragraph in a libreoffice document with a python macro?", "Insert several images at once using macro scripting in LibreOffice", "Python - LibreOffice Calc - Find & Replace with Regular Expression", "Error calling LibreOffice from Python", "How can you extract the currently-selected range of cells in LibreOffice calc via pyuno?", "How to call an existing LibreOffice python macro from a python script", "How can I call a Python macro in a cell formula in OpenOffice.Org Calc?" ]
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[ 0.9326736927032471, 0.6694053411483765, 0.8235227465629578, 0.6511975526809692, 0.5898475646972656, 0.7518340349197388, 0.8123654127120972, 0.5770810842514038, 0.5996963381767273, 0.7111058831214905, 0.7296739816665649, 0.7214651107788086, 0.6642759442329407, 0.7413027286529541, 0.7201533913612366, 0.6541376709938049, 0.6348105669021606, 0.7365978956222534, 0.6686298251152039, 0.7770309448242188, 0.7772462368011475, 0.6125953197479248, 0.7430819869041443, 0.6509981155395508, 0.6686464548110962, 0.6599107384681702, 0.7158064246177673, 0.7007223963737488, 0.8002250790596008, 0.7881103754043579 ]
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Python Lxml (objectify): Checking whether a tag exists
[ "Python lxml (objectify): Xpath troubles", "lxml parsing with python: how to with objectify", "Change int element to str element in lxml objectify python", "Get str or int from a lxml.objectify.IntElement", "Python lxml objectify - How to create elements with a dash", "Print lxml.objectify.ObjectifiedElement?", "Python: Get specific node values and attributes using lxml + objectify + findall or fromstring", "python 2.7 virtual env - No module named lxml.objectify", "lxml objectify does not call constructors for custom element classes", "Test the existence of an Element with lxml.objectify", "lxml.etree._ElementTree.find() can't be called on objectify.parse result", "Turn element of lxml.objectify back into XML", "replacing node text using lxml.objectify while preserving attributes", "lxml objectify not seeing root", "How do you create a non-nested xml element using Python's lxml.objectify?", "Why lxml (Python Lib) doesn't parse Signature node using objectify.fromstring(xml_string)?", "Stripping python namespace attributes from an lxml.objectify.ObjectifiedElement", "Getting contents of an lxml.objectify comment", "How to detect starting tag of xml and then parse and objectify", "How to find a tag with some value in python and lxml", "Python - How to append the same XML element multiple times with lxml.objectify", "checking and fixing values appended to a node with lxml.objectify in python", "objectify and etree elements", "How to merge XML string with XML created by objectify?", "Wrong tag name for lxml", "How to create the same XML element 3 times with Python LXML Objectify", "lxml.objectify and leading zeros", "lxml.objectify.parse fails while fromstring works", "Making lxml.objectify ignore xml namespaces?", "How can i access element value in SOAP response with lxml objectify" ]
[ 0.9289971590042114, 0.9227145910263062, 0.8970210552215576, 0.8881300687789917, 0.8979876041412354, 0.8874566555023193, 0.8938837051391602, 0.8794969916343689, 0.8641193509101868, 0.9178754091262817, 0.8747466802597046, 0.8900247812271118, 0.8740330934524536, 0.885966420173645, 0.8898109197616577, 0.8748009204864502, 0.8941025137901306, 0.8906821608543396, 0.8969207406044006, 0.9121378064155579, 0.8858827948570251, 0.9029778242111206, 0.8348332643508911, 0.8555884957313538, 0.8928573131561279, 0.8730688691139221, 0.8925360441207886, 0.8791579008102417, 0.8831756114959717, 0.8649271130561829 ]
[ 0.9195070862770081, 0.9090617299079895, 0.8697856664657593, 0.8708314895629883, 0.8969846367835999, 0.8562929034233093, 0.8826576471328735, 0.869401216506958, 0.8489416837692261, 0.9176590442657471, 0.8623608350753784, 0.877409815788269, 0.8675678968429565, 0.8647375106811523, 0.8529411554336548, 0.8505865335464478, 0.8613768219947815, 0.8880306482315063, 0.8711459636688232, 0.8971288204193115, 0.8740761876106262, 0.892076849937439, 0.8204208612442017, 0.8284599781036377, 0.8540143370628357, 0.8550050258636475, 0.8706345558166504, 0.8563828468322754, 0.8549782037734985, 0.8480555415153503 ]
[ 0.921268880367279, 0.9234755039215088, 0.8790183067321777, 0.8778561949729919, 0.9026328325271606, 0.8822341561317444, 0.9042617678642273, 0.8955589532852173, 0.8679215908050537, 0.9244575500488281, 0.88130784034729, 0.8768092393875122, 0.8741698265075684, 0.8811502456665039, 0.8733766078948975, 0.8752735257148743, 0.8800798058509827, 0.8809003829956055, 0.8776662349700928, 0.89815354347229, 0.8814188241958618, 0.8969423770904541, 0.8404608368873596, 0.8592175245285034, 0.8774436116218567, 0.870284914970398, 0.8734372854232788, 0.8836315870285034, 0.871907114982605, 0.8574117422103882 ]
[ 0.8204412460327148, 0.8234435319900513, 0.7438977956771851, 0.7677944898605347, 0.7814798355102539, 0.7989453077316284, 0.7859234809875488, 0.6892179846763611, 0.751681923866272, 0.9148094654083252, 0.7830991744995117, 0.7650182247161865, 0.7755486965179443, 0.7451395392417908, 0.7777684926986694, 0.7576940059661865, 0.7688429951667786, 0.7837231159210205, 0.7852202653884888, 0.8482847809791565, 0.7756480574607849, 0.8372215628623962, 0.6839196681976318, 0.709035336971283, 0.7528913617134094, 0.7714424729347229, 0.7278989553451538, 0.7663156390190125, 0.784224808216095, 0.7660602927207947 ]
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python split on multiple delimiters bug?
[ "Split Strings into words with multiple word boundary delimiters", "Python split with multiple delimiters not working", "Reading in data with different delimiters in Python", "How do you split a string in Python with multiple delimiters?", "Save delimiters after parsing with `re` or `split`", "Multiple delimiters in single CSV file", "import text to pandas with multiple delimiters", "Python Split String On A List Of Delimiters, Also Preserve Delimiters", "Split string with multiple delimiters in Python", "Split string from one point to another (different delimiters)", "How to get a value from a string that's between two delimiters, then set another value to what comes after the delimiters?", "Python Split removing delimiters?", "Split string with multiple delimiters stored in a dictionary", "input with delimiters in python", "Code a loop on a list of delimiters?", "Python split string and keep delimiters as a word", "Split string with delimiters in Python", "Python: split row with multiple delimiters and return in specific format", "Adding delimiters to a text file using python", "parse a string with multiple delimiters", "delimiters and csv files python", "Python: split string with delimiters from a list", "Split string based off multiple possible deminiters but keep delimiters", "How to get string between two delimiters python", "split python string on multiple string delimiters efficiently", "Split with multiple delimiters while keeping delimiters as dictionary keys", "How to Split String Using Delimiters", "Is there a method in python that's like os.path.split for other delimiters?", "How to split up a string on multiple delimiters but only capture some?", "Is it possible to split a string on multiple delimiters in order?" ]
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[ 0.8840051889419556, 0.9485483169555664, 0.8906384706497192, 0.9351115226745605, 0.8824319839477539, 0.883493185043335, 0.8865821361541748, 0.9043434262275696, 0.9319867491722107, 0.8631348609924316, 0.8652416467666626, 0.9454174041748047, 0.8997563123703003, 0.9015057682991028, 0.8757998943328857, 0.8998690247535706, 0.918270468711853, 0.9054419994354248, 0.8678955435752869, 0.8936434984207153, 0.8815654516220093, 0.9032822847366333, 0.8940891027450562, 0.8946366310119629, 0.9226964712142944, 0.9003099203109741, 0.8902653455734253, 0.9118027687072754, 0.9018058776855469, 0.9047204256057739 ]
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[ 0.7313359975814819, 0.8961657285690308, 0.7438408136367798, 0.8459559082984924, 0.7369446754455566, 0.7537814378738403, 0.7184802293777466, 0.8178952932357788, 0.8409274816513062, 0.7439633011817932, 0.7092450857162476, 0.8488442301750183, 0.7942788600921631, 0.7316436767578125, 0.7102384567260742, 0.7699741721153259, 0.8040133714675903, 0.7459636926651001, 0.7048021554946899, 0.7682453393936157, 0.7366690039634705, 0.7740919589996338, 0.7526589632034302, 0.7173246145248413, 0.8256456851959229, 0.8094978332519531, 0.7715326547622681, 0.7621035575866699, 0.799736738204956, 0.8021340370178223 ]
[ 0.6849381327629089, 0.8989676237106323, 0.6947548985481262, 0.8359016180038452, 0.6807053089141846, 0.7034953832626343, 0.6565399765968323, 0.7879186868667603, 0.8363999724388123, 0.705349326133728, 0.6284881234169006, 0.8288697004318237, 0.7678244113922119, 0.7059801816940308, 0.6467918753623962, 0.7479920387268066, 0.797134280204773, 0.7156753540039062, 0.6645151972770691, 0.7123997211456299, 0.6961545348167419, 0.7498043775558472, 0.6933845281600952, 0.6762625575065613, 0.8016929626464844, 0.7982167601585388, 0.7459716796875, 0.7244877815246582, 0.7562249302864075, 0.756838321685791 ]
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Imshow subplots with the same colorbar
[ "Set Colorbar Range in matplotlib", "Matplotlib 2 Subplots, 1 Colorbar", "subplots with multiple colorbar", "Set colorbar resized beside each subplots", "Plotly contour subplots each having their own colorbar", "How does one add a colorbar to a polar plot (rose diagram)?", "Making a simple colorbar", "3 subplots (2 graphs & 1 colorbar)", "One colorbar for multiple pandas subplots", "how can I plot on colorbar python", "Force square subplots when plotting a colorbar", "default colorbar for matplotlib", "Wrong colorbar positioning when using subplots (matplotlib)", "Matplotlib Colorbar Display Digtis", "Set the colorbar in function of data", "Adding a colorbar to two subplots with equal aspect ratios", "Adding a colorbar and a line to multiple imshow() plots", "why does my colorbar have lines in it?", "Custom Colorbar", "Off by one error in imshow?", "Python Fix colorbar in plot", "Can't fix position of colorbar in image with multiple subplots", "what is my colorbar range in python? how do I get the handle?", "One more colorbar at each loop", "Use the same colorbar for different subplots in matplotlib", "How to adjust size of two subplots, one with colorbar and another without, in pyplot ?", "Error in function imshow", "change the colorbar width", "Python - Label size of colorbar", "Matplotlib: contourlevels as lines in colorbar" ]
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[ 0.8620853424072266, 0.8859591484069824, 0.9189589023590088, 0.8906015157699585, 0.9071456789970398, 0.8333224058151245, 0.8624148368835449, 0.8692595958709717, 0.8970843553543091, 0.8558177947998047, 0.9083787798881531, 0.8695305585861206, 0.8887503147125244, 0.8518862128257751, 0.8653973340988159, 0.9082363843917847, 0.9002330303192139, 0.8491230607032776, 0.8663272857666016, 0.8469920754432678, 0.8660379648208618, 0.8714808225631714, 0.8382328748703003, 0.8757494688034058, 0.9152674078941345, 0.8549323081970215, 0.8678902983665466, 0.8555958271026611, 0.8499618768692017, 0.8763377666473389 ]
[ 0.8575682640075684, 0.8980581164360046, 0.9238118529319763, 0.9082719087600708, 0.9046752452850342, 0.8409972786903381, 0.8765668869018555, 0.8822622299194336, 0.9009312391281128, 0.8453102111816406, 0.8993321657180786, 0.8619107007980347, 0.8837816715240479, 0.8571439981460571, 0.8653659820556641, 0.9214903116226196, 0.8867819309234619, 0.8312839865684509, 0.8492414951324463, 0.8442692756652832, 0.8563536405563354, 0.8826899528503418, 0.8284939527511597, 0.8649821877479553, 0.9108513593673706, 0.8748205304145813, 0.8625838160514832, 0.8590184450149536, 0.8454113006591797, 0.8742072582244873 ]
[ 0.7512803077697754, 0.8572145104408264, 0.8853272199630737, 0.8427700996398926, 0.8198261857032776, 0.6689887642860413, 0.7248356342315674, 0.8070144653320312, 0.8375298976898193, 0.7503678798675537, 0.8272468447685242, 0.7169908285140991, 0.7810870409011841, 0.750495433807373, 0.690994143486023, 0.8685029745101929, 0.8716873526573181, 0.6386064291000366, 0.6775979995727539, 0.6439797282218933, 0.7416791319847107, 0.810515284538269, 0.6671102046966553, 0.7411452531814575, 0.8796275854110718, 0.7823081016540527, 0.6262556314468384, 0.6375391483306885, 0.6271549463272095, 0.7320250272750854 ]
[ 0.6904219388961792, 0.8093035221099854, 0.8533571362495422, 0.7967566251754761, 0.7631940841674805, 0.6153085231781006, 0.6710164546966553, 0.7494334578514099, 0.7884541749954224, 0.7186285853385925, 0.7753061056137085, 0.6740854382514954, 0.740125298500061, 0.6980695724487305, 0.6234970688819885, 0.8125448822975159, 0.8267431259155273, 0.5868154168128967, 0.6107221841812134, 0.5590691566467285, 0.7021318674087524, 0.7535237073898315, 0.5897732377052307, 0.6765089631080627, 0.8476403951644897, 0.7204384207725525, 0.5700544118881226, 0.5568987131118774, 0.5491758584976196, 0.6706404685974121 ]
[ 0.7458593249320984, 0.8452301025390625, 0.8696479201316833, 0.8257895708084106, 0.8071947693824768, 0.6849955916404724, 0.7191451191902161, 0.7906818389892578, 0.8337531089782715, 0.7342181205749512, 0.8130043745040894, 0.72394198179245, 0.7788609266281128, 0.7363091707229614, 0.6859275102615356, 0.8538240194320679, 0.8584339022636414, 0.6407630443572998, 0.6846375465393066, 0.6311036944389343, 0.7449060678482056, 0.798481822013855, 0.6710546612739563, 0.7308322191238403, 0.8804580569267273, 0.7701204419136047, 0.6192795038223267, 0.6444340944290161, 0.6245812773704529, 0.7219619750976562 ]
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Connecting to MS Access 2007 (.accdb) database using pyodbc
[ "pyodbc and ms access 2010 connection error", "How do I import an .accdb file into Python and use the data?", "create a database using pyodbc", "Python Dictionary with pyodbc", "Connecting to SQL Server 2012 using sqlalchemy and pyodbc", "in pyodbc how do you get a single table from database as an object", "pyodbc to MS access connection string; can it use IP address?", "How to convert .accdb to db", "How can i connect Remote MS access using pyodbc", "pyodbc - read primary keys from MS Access (MDB) database", "Python - Pyodbc Connection error", "Connecting to MS-SQL from pyodbc using windows authentication", "PyODBC return error, but why?", "How to connect MS Access to Python using pyodbc", "pyodbc database connection and number format", "Django doesn't use pyodbc as python does", "Can't upload Images to MS Sql server via pyodbc", "Pyodbc Error - Python to MS Access", "Replicating .accdb database tables with python pyodbc", "PYODBC MS Access Insert Error - Too Few Parameters", "pyodbc is not updating table", "python(pyodbc):Run ms access query from python results to size error", "Run the query saved in MS Access with required parameters through Pyodbc?", "pyodbc can't connect to database", "Connecting to ODBC using pyODBC", "Connecting to SQL server using PYODBC", "Connecting to Microsoft SQL Server through pyODBC on Ubuntu", "Encoding calling from pyodbc to a MS SQL Server", "Python pyodbc connect to ms access database", "32 bit pyodbc reading 64 bit access (accdb)" ]
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[ 0.9041411280632019, 0.8783179521560669, 0.884655237197876, 0.8929373621940613, 0.897046685218811, 0.8594392538070679, 0.8811352849006653, 0.8800759315490723, 0.9069929122924805, 0.9184563159942627, 0.8858382105827332, 0.923320472240448, 0.8421700596809387, 0.9470997452735901, 0.879167914390564, 0.85554039478302, 0.8803900480270386, 0.9234035015106201, 0.9045665860176086, 0.8615275025367737, 0.8547890782356262, 0.8877855539321899, 0.892259955406189, 0.8804300427436829, 0.9204145669937134, 0.8979297876358032, 0.9104834198951721, 0.903536319732666, 0.9379459619522095, 0.8916354179382324 ]
[ 0.9019209146499634, 0.8863084316253662, 0.8954451084136963, 0.8953351974487305, 0.9033772945404053, 0.8585764169692993, 0.8936442732810974, 0.8634698390960693, 0.9040118455886841, 0.8944500088691711, 0.892672061920166, 0.9163270592689514, 0.8566421270370483, 0.9406760931015015, 0.8885562419891357, 0.8480014204978943, 0.8717710375785828, 0.901853084564209, 0.9151456952095032, 0.8588176369667053, 0.849905788898468, 0.8639795780181885, 0.8854148387908936, 0.8819084763526917, 0.9226939678192139, 0.910609245300293, 0.8978760242462158, 0.879105806350708, 0.9237655401229858, 0.9078769087791443 ]
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[ 0.7976506352424622, 0.7284311056137085, 0.7054884433746338, 0.662924587726593, 0.6951977014541626, 0.6276262998580933, 0.8099851608276367, 0.6801155805587769, 0.8070352077484131, 0.7509260177612305, 0.7148491144180298, 0.7584875822067261, 0.6291611790657043, 0.8628027439117432, 0.7018007636070251, 0.6203922033309937, 0.6399913430213928, 0.8147377967834473, 0.7619755268096924, 0.6756386160850525, 0.6196706295013428, 0.6826980113983154, 0.7262221574783325, 0.7429433465003967, 0.7733609676361084, 0.7678675651550293, 0.7445425987243652, 0.6742280721664429, 0.8852831125259399, 0.7594915628433228 ]
[ 0.8105983734130859, 0.7843313217163086, 0.7395710945129395, 0.7058779001235962, 0.7367820739746094, 0.6847293972969055, 0.8257003426551819, 0.7338365316390991, 0.8230025172233582, 0.7765979170799255, 0.7439082264900208, 0.7856086492538452, 0.673311710357666, 0.865293025970459, 0.7313011288642883, 0.6911488771438599, 0.7049981951713562, 0.8208048343658447, 0.7916395664215088, 0.7198793888092041, 0.6781477332115173, 0.7301645278930664, 0.7619584202766418, 0.7793067693710327, 0.7970665693283081, 0.7961822748184204, 0.7826296091079712, 0.7147952914237976, 0.8867639303207397, 0.7889488339424133 ]
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What does [...] (an ellipsis) in a list mean in Python?
[ "How do you use the ellipsis slicing syntax in Python?", "What is this syntax \"...\" (ellipsis)?", "How does numpy three dimensiona slicing and indexing and ellipsis work?", "Using ellipsis as text-overflow doesn't work, except if text is \"float\"ed", "Ellipsis / truncation on module attribute value in Sphinx generated documentation", "How do I enable 'doctest.ELLIPSIS' at the Python prompt?", "Python bool(Ellipsis) and bool(None)", "How enable ellipsis when calling python doctest", "Boolean indexing with Numpy Array, tuples and Ellipsis", "Python/Pandas - how can I avoid ellipsis when using 'describe'", "Can I have an ellipsis at the beginning of the line in a Python doctest?", "In numpy, what does indexing an array with the empty tuple vs. ellipsis do?", "Python: What does mean it mean when my module returns \"Ellipsis\"?", "Can't understand a matplotlib's example where there are both ellipsis and colons probably associated with indices", "What do ellipsis [...] mean in a list?", "What does the Python Ellipsis object do?", "IndexError: only integers, slices (`:`), ellipsis (`...`) . .", "How to remove ellipsis from a row in a Python Pandas series or data frame, shown when long lines/wide columns are truncated?", "How do I get SQLAlchemy to correctly insert a unicode ellipsis into a mySQL table?", "Ellipsis lists [...] and concatenating a list to itself", "Interpreter that ignores leading >>> characters and ellipsis", "represent numpy ellipsis", "Make function have ellipsis for arguments in help() function", "How to replace 'Ellipsis' with the actual data value in a pandas Series?", "Confusion with Ellipsis in Python", "How slicing and ellipsis works in numpy?", "Python PIL: Replace Out-of-Range Text with Ellipsis", "python interpreter with ellipsis _ function?", "numpy indexing: shouldn't trailing Ellipsis be redundant?", "Pandas to_csv always substitute long numpy.ndarray with ellipsis" ]
[ 0.8931503295898438, 0.9194753170013428, 0.8693457841873169, 0.8436285257339478, 0.8373991847038269, 0.8697308301925659, 0.8679536581039429, 0.8668349385261536, 0.8611847162246704, 0.8736697435379028, 0.8907973766326904, 0.8826184272766113, 0.9234335422515869, 0.8737285137176514, 0.9750282168388367, 0.9055932760238647, 0.8762531280517578, 0.8603825569152832, 0.8475204706192017, 0.8949511051177979, 0.8473770022392273, 0.867706298828125, 0.8422613739967346, 0.8678874969482422, 0.8965058326721191, 0.8736358284950256, 0.8609018325805664, 0.9044545888900757, 0.8713804483413696, 0.8532511591911316 ]
[ 0.8838080167770386, 0.9125052094459534, 0.8519191741943359, 0.8265151381492615, 0.8469282388687134, 0.8409386277198792, 0.8582444190979004, 0.8511112928390503, 0.8494939804077148, 0.8727630376815796, 0.8715032935142517, 0.8767905235290527, 0.9111259579658508, 0.8559646606445312, 0.9748232364654541, 0.8984483480453491, 0.8533579111099243, 0.8570653200149536, 0.8477678298950195, 0.887432873249054, 0.8549852967262268, 0.8602958917617798, 0.8433372378349304, 0.8653049468994141, 0.8975401520729065, 0.8751837015151978, 0.8572717905044556, 0.8872925043106079, 0.8581886291503906, 0.8490890264511108 ]
[ 0.9052402973175049, 0.8982401490211487, 0.8782296180725098, 0.8311505317687988, 0.8465217351913452, 0.8773142695426941, 0.876505970954895, 0.8588745594024658, 0.8559554815292358, 0.8773148059844971, 0.8933877348899841, 0.8858742117881775, 0.9229365587234497, 0.8757817149162292, 0.9677860736846924, 0.9044210910797119, 0.8532241582870483, 0.8793385624885559, 0.856757640838623, 0.8847240209579468, 0.846245288848877, 0.8701872229576111, 0.8589677810668945, 0.8930835127830505, 0.898439884185791, 0.892728328704834, 0.8725874423980713, 0.9006811380386353, 0.8848557472229004, 0.8449712991714478 ]
[ 0.7613731026649475, 0.800100564956665, 0.6797446012496948, 0.6050173044204712, 0.6309106945991516, 0.6496626138687134, 0.6941945552825928, 0.6237651109695435, 0.703475832939148, 0.6748746037483215, 0.6842134594917297, 0.7833794355392456, 0.8151612877845764, 0.7318906784057617, 0.9459031820297241, 0.8016117811203003, 0.7404958009719849, 0.6733314990997314, 0.6450916528701782, 0.829893946647644, 0.6462938785552979, 0.7252812385559082, 0.6527955532073975, 0.6822618246078491, 0.8262627124786377, 0.7452456951141357, 0.6756781935691833, 0.7182589173316956, 0.7382060289382935, 0.6100520491600037 ]
[ 0.7045068740844727, 0.7512671947479248, 0.6053900122642517, 0.504488468170166, 0.5600928664207458, 0.5747586488723755, 0.6175063848495483, 0.5478113889694214, 0.6287928819656372, 0.5839787721633911, 0.6126649379730225, 0.6977008581161499, 0.7646586894989014, 0.651242733001709, 0.9332128763198853, 0.7563627362251282, 0.676931619644165, 0.6022728681564331, 0.5494560599327087, 0.7975132465362549, 0.5824925899505615, 0.6644172668457031, 0.5563971400260925, 0.6088682413101196, 0.783006489276886, 0.6682175397872925, 0.6090898513793945, 0.6710623502731323, 0.6667402982711792, 0.5417900085449219 ]
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How do you create a LabelFrame with a scrollbar in Tkinter?
[ "Python Tkinter Double Scrollbar", "Python Tkinter Scrollbar Doesn't Work", "Tkinter weird scrollbar", "Resize a Listbox inside a LabelFrame tkinter", "Show files in tkinter Scrollbar", "Tkinter Canvas & Scrollbar", "tkinter scrollbar doesn't work in a window", "Can't get this scrollbar to work with Text widet in Tkinter?", "How do I place an image (.png) within a `LabelFrame`, and resize it, in Tkinter?", "Tkinter: nested LabelFrame (s) not shown", "Python 3.3 Tkinter change LabelFrame Position", "How to Update Scrollbar Position with Tkinter", "Python Tkinter Scrollbar within a Class", "tkinter: scrollbar appears but doesn't work", "How to add a scrollbar to a window with tkinter?", "_tkinter.TclError: invalid command name \"labelframe\"", "Python Tkinter scrollbar issue", "How to prevent Tkinter labelframe size changes when an empty label is inserted", "Tkinter scrollbar for frame", "Tkinter Scrollbar not working", "Creating a LabelFrame inside a Tkinter Canvas", "tkinter LabelFrame not attatching widgets", "Python 3.3 Tkinter LabelFrame resizable", "Create a fix button with scrollbar in Tkinter", "Using textvariable for a Tkinter (or ttk) LabelFrame", "Tkinter - Add scrollbar for each LabelFrame", "Scrollbar in Tkinter grid", "Set style for Checkbutton or Labelframe in python tkinter", "Why isn't my tkinter scrollbar working?", "Python 3.6.1 tkinter Scrollbar behavior" ]
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[ 0.8738223314285278, 0.8768404126167297, 0.8794238567352295, 0.89064621925354, 0.8678349256515503, 0.8770021200180054, 0.8590413331985474, 0.8903347849845886, 0.901249349117279, 0.852249264717102, 0.8774890899658203, 0.8916121125221252, 0.8945139646530151, 0.8528657555580139, 0.937042236328125, 0.863514244556427, 0.8995236158370972, 0.8807070255279541, 0.905082643032074, 0.8814249038696289, 0.9147294163703918, 0.8628989458084106, 0.8622046709060669, 0.8950811624526978, 0.8861434459686279, 0.9300323724746704, 0.9030783772468567, 0.8645697832107544, 0.8933815956115723, 0.8612860441207886 ]
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[ 0.7753045558929443, 0.8131796717643738, 0.7680809497833252, 0.7532444000244141, 0.7593913078308105, 0.8194237947463989, 0.8206247687339783, 0.8175218105316162, 0.7824416160583496, 0.7961033582687378, 0.8129207491874695, 0.7990816831588745, 0.818687915802002, 0.8310210704803467, 0.8782933950424194, 0.78664231300354, 0.7960425615310669, 0.7744890451431274, 0.8852957487106323, 0.8112969398498535, 0.8756681084632874, 0.7950922250747681, 0.7902255058288574, 0.7850308418273926, 0.7813729047775269, 0.916360080242157, 0.8250146508216858, 0.764443039894104, 0.82869553565979, 0.7647491097450256 ]
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Wildcard not working in subprocess call using shlex
[ "Python subprocess wildcard usage", "python, windows : parsing command lines with shlex", "What is the difference between shlex.split() and re.split()?", "Shlex Split Equivalent for Node.js", "Wildcard in python string", "Replace wildcard from string", "python wildcard import", "Use a wildcard in Python array?", "subprocess.Popen and shlex.split formatting in windows and linux", "Python: subprocess call doesn't recognize * wildcard character?", "search any string in list with wildcard", "Python shlex.split(), ignore single quotes", "How do I know which wildcard to use?", "Python Shlex splitting with brackets", "Python wildcard search in string", "shlex include empty strings", "Invalid mode error on Python Subprocess chmod using shlex", "Search for a file using a wildcard", "Find strings in list using wildcard", "Search for string with wildcard in file python", "What's the reverse of shlex.split?", "Putting shlex in debug mode", "Check for type in Python as wildcard", "How do I make the shell understand the wildcard character that is being passed through subprocess.call()", "Escaping quotes in bash command using subprocess call and shlex", "Any integer wildcard in python?", "Is there a \"wildcard method\" in Python?", "Error using shlex and subprocess", "subprocess popen argument with wildcard", "Using wildcard for \"if .... in ..\" statement" ]
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[ 0.9155716300010681, 0.871712327003479, 0.8455097675323486, 0.8522781133651733, 0.8816200494766235, 0.867542028427124, 0.8685711026191711, 0.8612426519393921, 0.8762969374656677, 0.9315652251243591, 0.8582546710968018, 0.8560893535614014, 0.8432445526123047, 0.8644089698791504, 0.8737303614616394, 0.8539475798606873, 0.9073489904403687, 0.8677868843078613, 0.8689359426498413, 0.8755553960800171, 0.836331844329834, 0.8833048939704895, 0.8699541091918945, 0.9069837331771851, 0.8907910585403442, 0.8511085510253906, 0.8647139072418213, 0.921053409576416, 0.9049677848815918, 0.8642947673797607 ]
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[ 0.8543922901153564, 0.7520411014556885, 0.6317044496536255, 0.6275627017021179, 0.7322467565536499, 0.6763889789581299, 0.7374516129493713, 0.7050385475158691, 0.743632435798645, 0.8586416244506836, 0.6658321619033813, 0.6957318782806396, 0.6836462020874023, 0.7128289341926575, 0.6891192197799683, 0.7177940011024475, 0.734407901763916, 0.7256002426147461, 0.682369589805603, 0.7246320247650146, 0.62446528673172, 0.6468007564544678, 0.6860479712486267, 0.844366192817688, 0.8097895979881287, 0.6424014568328857, 0.6998739242553711, 0.8296292424201965, 0.8111276626586914, 0.6623736023902893 ]
[ 0.8236573934555054, 0.6873987317085266, 0.5604088306427002, 0.5507572889328003, 0.6954801082611084, 0.6100360155105591, 0.6778386235237122, 0.6494066119194031, 0.6883737444877625, 0.833026647567749, 0.5789310932159424, 0.6428860425949097, 0.6401746273040771, 0.6746400594711304, 0.6373232007026672, 0.64464271068573, 0.6728973388671875, 0.6582261323928833, 0.6162123084068298, 0.6608420014381409, 0.5626709461212158, 0.6020890474319458, 0.6130015254020691, 0.8083057403564453, 0.7726709842681885, 0.5863566398620605, 0.6360934376716614, 0.8069533109664917, 0.7644010782241821, 0.5581127405166626 ]
[ 0.850890576839447, 0.7503196001052856, 0.6594226956367493, 0.653933048248291, 0.7348416447639465, 0.6913688778877258, 0.7445265054702759, 0.7249622344970703, 0.744269847869873, 0.8548424243927002, 0.6820304989814758, 0.7111949920654297, 0.7177587747573853, 0.730028510093689, 0.6952531933784485, 0.7273211479187012, 0.734237551689148, 0.7291011214256287, 0.695827841758728, 0.7251784801483154, 0.6531176567077637, 0.665979266166687, 0.6927973628044128, 0.8390098214149475, 0.812528133392334, 0.6531215906143188, 0.7175066471099854, 0.8300251364707947, 0.8068514466285706, 0.672044038772583 ]
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Difference between __getattribute__ and obj.__dict__['x'] in python?
[ "Difference between __getattr__ vs __getattribute__", "Python: the __getattribute__ method and descriptors", "What is the difference between type.__getattribute__ and object.__getattribute__?", "Python __getattribute__ and __setattr__", "Difference between if <obj> and if <obj> is not None", "Python __getattribute__ and wrapper of method", "How do I implement __getattribute__ without an infinite recursion error?", "Python, invoke method returned by __getattribute__", "Is there a __getattribute__ to get a class or object from a python module?", "How does object.__getattribute__ avoid a RuntimeError?", "What's the difference between dict() and {}?", "Python **obj.__dict__ equilavent command", "__getattribute__ on instance and class", "Python: Calling a method of an instance's member by name using __getattribute__", "Difference between dict and set (python)", "Understanding the difference between __getattr__ and __getattribute__", "When does __getattribute__ not get involved in attribute lookup?", "Difference between not dict and not dict=={}", "Difference between type(obj) and obj.__class__", "Python - Overwriting __getattribute__ for an instance?", "python __getattribute__ override and @property decorator", "Overriding __getattribute__ for the Model class in Django", "How to find difference between list and dict in python", "Is there a method like '__getattribute__' for class (not instance) variables?", "Python: how to access an attribute from a __getattribute__ method", "javascript: implement something like python's __getattribute__?", "Where did lxml's Element.getAttribute() method call go?", "Python difference between print obj and print obj.__str__() [at least with Unicode?]", "Why metaclass __getattribute__ invoked here?", "Understanding __getattribute__" ]
[ 0.9436194896697998, 0.9031964540481567, 0.9475973844528198, 0.9130633473396301, 0.8811050057411194, 0.8968573808670044, 0.890259861946106, 0.8858174085617065, 0.9088101387023926, 0.906377911567688, 0.8889596462249756, 0.8688881993293762, 0.8952151536941528, 0.8816155791282654, 0.8714030385017395, 0.9385227560997009, 0.8846961259841919, 0.8761929273605347, 0.9137954711914062, 0.9047861099243164, 0.8950450420379639, 0.8846782445907593, 0.8714514970779419, 0.8906447291374207, 0.897718071937561, 0.9014537334442139, 0.8513228893280029, 0.909663200378418, 0.8788118362426758, 0.9124175310134888 ]
[ 0.9176691174507141, 0.8750442862510681, 0.9302245378494263, 0.8982494473457336, 0.8631913661956787, 0.8775203824043274, 0.8687472343444824, 0.8565909266471863, 0.8936960697174072, 0.8815333843231201, 0.8829059600830078, 0.8610299825668335, 0.8569039106369019, 0.8545278310775757, 0.8834033608436584, 0.9034601449966431, 0.8605589270591736, 0.8702402114868164, 0.8960137367248535, 0.8752424716949463, 0.8627554178237915, 0.856544554233551, 0.8669756650924683, 0.8663808703422546, 0.8800246715545654, 0.8813315033912659, 0.82451331615448, 0.9113991856575012, 0.866248369216919, 0.8772421479225159 ]
[ 0.9297595024108887, 0.8824819326400757, 0.9355518817901611, 0.8944826126098633, 0.8667725324630737, 0.878031313419342, 0.8740224838256836, 0.857383668422699, 0.8986800909042358, 0.8840824365615845, 0.8813574314117432, 0.8485919237136841, 0.8818573951721191, 0.8616176843643188, 0.8659443855285645, 0.9129593372344971, 0.8623504638671875, 0.8667195439338684, 0.8897753953933716, 0.8943947553634644, 0.8666106462478638, 0.8480905294418335, 0.8641964197158813, 0.8886436820030212, 0.8790861964225769, 0.8829090595245361, 0.8391584157943726, 0.8976010680198669, 0.8762177228927612, 0.8896229267120361 ]
[ 0.9048056602478027, 0.8284563422203064, 0.8998161554336548, 0.8224570751190186, 0.6928359270095825, 0.8141771554946899, 0.7757586240768433, 0.7412363290786743, 0.8022814989089966, 0.8161706924438477, 0.7461774349212646, 0.6590501666069031, 0.7860367894172668, 0.7631407976150513, 0.7318017482757568, 0.8956300020217896, 0.8017348051071167, 0.6728453636169434, 0.7902069091796875, 0.7870535850524902, 0.7374653220176697, 0.7486938238143921, 0.6726319789886475, 0.7928853034973145, 0.8166287541389465, 0.7949918508529663, 0.7216494083404541, 0.7680947184562683, 0.7558525800704956, 0.8483822345733643 ]
[ 0.8561909198760986, 0.7881582975387573, 0.8556040525436401, 0.7951939105987549, 0.5735859870910645, 0.7833112478256226, 0.7169121503829956, 0.6999996304512024, 0.7541486024856567, 0.7798961400985718, 0.6545551419258118, 0.6091653108596802, 0.7373729348182678, 0.6957248449325562, 0.6370968222618103, 0.8524420261383057, 0.7590343952178955, 0.5537437200546265, 0.7057788372039795, 0.733086347579956, 0.6899770498275757, 0.7123534679412842, 0.6029889583587646, 0.733539342880249, 0.7766979932785034, 0.7560440897941589, 0.6351657509803772, 0.7024141550064087, 0.6937012672424316, 0.810085117816925 ]
[ 0.898918628692627, 0.816988468170166, 0.892939567565918, 0.8141169548034668, 0.6869393587112427, 0.8026021718978882, 0.7676163911819458, 0.7383806705474854, 0.798355758190155, 0.8069933652877808, 0.7409427165985107, 0.659654974937439, 0.773949146270752, 0.7533621788024902, 0.7294250726699829, 0.8926535248756409, 0.7927175760269165, 0.6762042045593262, 0.7764934301376343, 0.7726380825042725, 0.7276156544685364, 0.7430140376091003, 0.6806199550628662, 0.7882177829742432, 0.8075245022773743, 0.7970970869064331, 0.7368733882904053, 0.7688345909118652, 0.7420262098312378, 0.8397489786148071 ]
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How to decompress a .xz file which has multiple folders/files inside, in a single go?
[ "How to unpack xz file with python which contains only data but no filename?", "Decompress remote .gz file in Python", "If I have the contents of a zipfile in a Python string, can I decompress it without writing it to a file?", "Creating similar multiple sub-folders in multiple different folders using python", "Pandas: decompress date range to individual dates", "Decompress an array in Python", "How to post a compressed string and decompress the string in Django?", "Python decompress gzip data in memory without file", "How to decompress/deaggregate hierarchical data in python/pandas?", "Tarfile create xz file", "decompress name", "Python - Create multiple folders from CSV file", "how to read files from multiple folders in python", "reading multiple text files from different folders python", "Python 2.7: Compressing data with the XZ format using the \"lzma\" module", "How to decompress a nested loop in a file : Python", "plot N planes parallel to XZ axis in 3D in python", "Easiest way to compress in Python and decompress with decompress C# (and vice versa)", "Create multiple sub folders in folders within one directory", "Rename multiple files inside multiple folders", "Python gzip: is there a way to decompress from a string?", "Decompress and read Dukascopy .bi5 tick files", "Create new folders using python", "Compress in Java, decompress in Python?", "How to create folders using file names and then move files into folders?", "How to decompress zip files across a Windows folder in Python", "Compress data in Java and decompress in Python", "How to decompress/decrypt a single line of a gzip file", "Working with multiple code files and folders in Python", "zlib decompress header check error" ]
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[ 0.8881368637084961, 0.8726392984390259, 0.8745037317276001, 0.8429641723632812, 0.8321691751480103, 0.8625614047050476, 0.8608844876289368, 0.868538498878479, 0.8943949937820435, 0.8637176752090454, 0.8428220748901367, 0.8411931991577148, 0.8438950777053833, 0.8509553670883179, 0.8492103815078735, 0.8701110482215881, 0.8379592895507812, 0.8570991158485413, 0.8516721725463867, 0.8627805113792419, 0.8682346343994141, 0.8469622731208801, 0.8254433870315552, 0.8716411590576172, 0.8664965629577637, 0.8827764987945557, 0.8546807169914246, 0.9077751636505127, 0.8596482872962952, 0.8579627275466919 ]
[ 0.8884158134460449, 0.8685581088066101, 0.8627434968948364, 0.8550280332565308, 0.8318202495574951, 0.8549803495407104, 0.8636447191238403, 0.8286151885986328, 0.8801729679107666, 0.8256051540374756, 0.8343206644058228, 0.8402087688446045, 0.8461827039718628, 0.8338663578033447, 0.8589166402816772, 0.8715142011642456, 0.8246440887451172, 0.8706250786781311, 0.8517886400222778, 0.8687238693237305, 0.8652790784835815, 0.8289014101028442, 0.7922441959381104, 0.8656020164489746, 0.8572294116020203, 0.8850745558738708, 0.8528698682785034, 0.8845885992050171, 0.8560913801193237, 0.8370518088340759 ]
[ 0.7913020849227905, 0.7706560492515564, 0.7235534191131592, 0.6357468962669373, 0.5648499727249146, 0.676445722579956, 0.6490004062652588, 0.7063496112823486, 0.6514235138893127, 0.7188504934310913, 0.6791489124298096, 0.6421822309494019, 0.6588455438613892, 0.5778418183326721, 0.7588186264038086, 0.7266327142715454, 0.5055297613143921, 0.7333481311798096, 0.6407827138900757, 0.6396313905715942, 0.7241247296333313, 0.7033165693283081, 0.6141089797019958, 0.7086018323898315, 0.6700645685195923, 0.7933478355407715, 0.698425829410553, 0.7207105159759521, 0.6406288146972656, 0.7208101153373718 ]
[ 0.7127081155776978, 0.7098653316497803, 0.6670118570327759, 0.5518101453781128, 0.5132519006729126, 0.632154107093811, 0.5640522241592407, 0.640196681022644, 0.5728055238723755, 0.6423122882843018, 0.6152487993240356, 0.5632039308547974, 0.5862237215042114, 0.500084638595581, 0.6898170709609985, 0.6769400238990784, 0.4074515700340271, 0.6716208457946777, 0.5718545913696289, 0.5707786083221436, 0.6653390526771545, 0.6061955690383911, 0.5427321195602417, 0.6594029664993286, 0.607952356338501, 0.7376317381858826, 0.6383556127548218, 0.6464785933494568, 0.5579330325126648, 0.6649541854858398 ]
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Nested dictionary of namedtuples to pandas dataframe
[ "Pandas dataframe from nested dictionary", "What is a nicer alternative to a namedtuples _replace?", "List comprehension of namedtuples results in empty list", "How to sort a list containing namedtuples based on the difference between attributes?", "Autocomplete for namedtuples (python) for Pydev, Eclipse?", "Migrating running code with namedtuples", "Flask returning namedtuples as dicts, but not all the time", "Pythonic way to convert list of dicts into list of namedtuples", "TypeError while creating list of namedtuples: __new__() takes exactly 2 arguments (3 given)", "Using msgpack-python with nested namedtuples", "Python Sorting a List of Namedtuples", "String of namedtuples to list", "Should namedtuples follow constant name conventions in python?", "Pandas dataframe to nested dictionary", "Should all namedtuples be in a separate file?", "How to send a dict of namedtuples or just a namedTuple to a client (socket)?", "Compare several (but not all) elements in a list of namedtuples", "Running out of memory in Python using dict of namedtuples", "Python: Json encode a nested data structure with namedtuples, dates", "Adding docstrings to namedtuples?", "Write python namedtuples to csv to prevent UnicodeEncodeError", "What is the pythonic way to read CSV file data as rows of namedtuples?", "'module' has no attribute when working with namedtuples", "Python naming convention - namedtuples", "Changing values of a list of namedtuples", "Storing data into namedtuples with empty fields to add other stuff", "indexing and finding values in list of namedtuples", "Enumerating namedtuples", "Pythonic way to sorting list of namedtuples by field name", "namedTuples definition across multiple chained functions" ]
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[ 0.9359661936759949, 0.8453714847564697, 0.8759495615959167, 0.852371335029602, 0.8825700283050537, 0.8796817660331726, 0.8769072890281677, 0.921504020690918, 0.8703229427337646, 0.9099022150039673, 0.8900381326675415, 0.8935190439224243, 0.8670427799224854, 0.9443069696426392, 0.860390305519104, 0.871940016746521, 0.8588218688964844, 0.8978195786476135, 0.9020057916641235, 0.8810919523239136, 0.8748568892478943, 0.8592106699943542, 0.8561134338378906, 0.8952082395553589, 0.8921240568161011, 0.8811131715774536, 0.8976680040359497, 0.8966306447982788, 0.8949015140533447, 0.8786436319351196 ]
[ 0.9246029257774353, 0.847906231880188, 0.8831479549407959, 0.8557494878768921, 0.8650835752487183, 0.8781296610832214, 0.8750336170196533, 0.9080553650856018, 0.8536190390586853, 0.911430835723877, 0.8928842544555664, 0.8981019258499146, 0.8509160280227661, 0.9449634552001953, 0.8481178879737854, 0.8625438809394836, 0.8568967580795288, 0.8808971643447876, 0.8964887857437134, 0.8832279443740845, 0.8798354864120483, 0.8418943881988525, 0.859495997428894, 0.8746402263641357, 0.8901561498641968, 0.8835593461990356, 0.8829502463340759, 0.887932300567627, 0.8821534514427185, 0.8843051791191101 ]
[ 0.8335781097412109, 0.7126196622848511, 0.7336055040359497, 0.7055839896202087, 0.7016388177871704, 0.7049935460090637, 0.7222082614898682, 0.8025474548339844, 0.7286862730979919, 0.7653461694717407, 0.7293409705162048, 0.76286780834198, 0.6818822026252747, 0.8039755821228027, 0.7083550691604614, 0.7182523608207703, 0.677924633026123, 0.724800705909729, 0.7715227603912354, 0.7153960466384888, 0.747520923614502, 0.7879096269607544, 0.7129487991333008, 0.6998456716537476, 0.6989485621452332, 0.7263662815093994, 0.7636170387268066, 0.7317261099815369, 0.7401058673858643, 0.6898926496505737 ]
[ 0.792251706123352, 0.6489088535308838, 0.6769341230392456, 0.6446917653083801, 0.6516906023025513, 0.6565431952476501, 0.6822277307510376, 0.7752953171730042, 0.6696526408195496, 0.7189146280288696, 0.694828987121582, 0.7297337055206299, 0.652145266532898, 0.7701578140258789, 0.6510592699050903, 0.6652088165283203, 0.6197705864906311, 0.6976191997528076, 0.7336627840995789, 0.6447021961212158, 0.6939893960952759, 0.7372710704803467, 0.6547684073448181, 0.6767431497573853, 0.6451438665390015, 0.6562972068786621, 0.7081398963928223, 0.6962905526161194, 0.6987485885620117, 0.6446925401687622 ]
[ 0.8176607489585876, 0.7418220043182373, 0.749059796333313, 0.7174848318099976, 0.7216906547546387, 0.7343623042106628, 0.7498379945755005, 0.8104974031448364, 0.7359499335289001, 0.7739489674568176, 0.7409368753433228, 0.7749326229095459, 0.695914089679718, 0.7938858866691589, 0.7382242679595947, 0.7555539608001709, 0.6974197626113892, 0.7455488443374634, 0.7925081253051758, 0.7343438863754272, 0.7567858695983887, 0.7947609424591064, 0.7340730428695679, 0.7140275239944458, 0.7175047993659973, 0.7364894151687622, 0.7679741382598877, 0.7492222785949707, 0.7509512901306152, 0.7201670408248901 ]
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Remove outliers (+/- 3 std) and replace with np.nan in Python/pandas
[ "Pandas - Replace outliers with groupby mean", "Approach for removing outliers of two dimensional data", "Replacing outliers with NaN in pandas dataframe after applying a .groupby() arguement", "Remove Outliers from dataset", "Remove outliers from pandas dataframe python", "Outliers in Works Schedule", "Remove outliers before aggregate in Python Pandas", "Pandas dataframe - remove outliers", "How to count outliers for all columns in Python?", "Matplotlib boxplot without outliers", "Finding outliers in a data set", "Speeding up outliers check on a pandas Series", "Python: replacing outliers values with median values", "Replace outliers with column quantile in Pandas dataframe", "Create custom parameter to find outliers in pandas dataframe", "Pandas: why pandas.Series.std() is different from numpy.std()", "Get outliers in a DataFrame with date", "rpy2, package 'outliers' functions not working", "Better way to remove statistical outliers than this?", "turn of outliers boxplot in python", "Remove Outliers in Pandas DataFrame using Percentiles", "How to choose the boundaries for the outliers in the pandas DataFrame?", "Unexpected behaviour when grouping outliers in pandas [Python]", "Remove outliers in Pandas dataframe with groupby", "Python: removing outliers from a list. What's wrong with this code?", "Highlight outliers in pandas dataframe for matplotlib graph", "Find outliers of data", "Filter outliers from Pandas dataframe from all columns except one", "removing known outliers from pandas dataframe", "Outliers using RPCA" ]
[ 0.9141545295715332, 0.8698940277099609, 0.9304131865501404, 0.8865913152694702, 0.9279757738113403, 0.8193786144256592, 0.9209800958633423, 0.9132687449455261, 0.8927943110466003, 0.8600857257843018, 0.8748478889465332, 0.8796723484992981, 0.8964474201202393, 0.9137141704559326, 0.9078351855278015, 0.8932793140411377, 0.8932764530181885, 0.8789429664611816, 0.8952015042304993, 0.8768182992935181, 0.9039953351020813, 0.8918717503547668, 0.9090616703033447, 0.9159942865371704, 0.8900947570800781, 0.9078493118286133, 0.8606148362159729, 0.8933129906654358, 0.9246969819068909, 0.8325002193450928 ]
[ 0.903278112411499, 0.8681892156600952, 0.911206066608429, 0.8906912207603455, 0.9084104299545288, 0.8320072889328003, 0.9076628684997559, 0.8981131315231323, 0.8632805347442627, 0.8620041012763977, 0.876055121421814, 0.8768024444580078, 0.9044942855834961, 0.9007688164710999, 0.8834148645401001, 0.8828731775283813, 0.8749019503593445, 0.869265615940094, 0.879605770111084, 0.8601598143577576, 0.8927976489067078, 0.8762089610099792, 0.8985904455184937, 0.8998008966445923, 0.8842144012451172, 0.8915881514549255, 0.8688104152679443, 0.8779503107070923, 0.9036369919776917, 0.85564124584198 ]
[ 0.9010682702064514, 0.8504315614700317, 0.9097826480865479, 0.8811216354370117, 0.9032106399536133, 0.8178691267967224, 0.9096099138259888, 0.9071701765060425, 0.8683817982673645, 0.8635073304176331, 0.8739835023880005, 0.8866094350814819, 0.8864185214042664, 0.9044153690338135, 0.8763645887374878, 0.8642098903656006, 0.8689957857131958, 0.8716319799423218, 0.8810102939605713, 0.8617268800735474, 0.8970515727996826, 0.880413830280304, 0.8999842405319214, 0.9028510451316833, 0.888280987739563, 0.8805851340293884, 0.8714854121208191, 0.8773893117904663, 0.9038293361663818, 0.8521624207496643 ]
[ 0.8029346466064453, 0.6969733834266663, 0.8348052501678467, 0.7824711203575134, 0.8128483295440674, 0.5949370861053467, 0.7732629776000977, 0.8004060387611389, 0.7193288207054138, 0.6602736711502075, 0.7137144804000854, 0.7563650608062744, 0.8015064597129822, 0.8069358468055725, 0.7347188591957092, 0.672897219657898, 0.7036495208740234, 0.6527482271194458, 0.7325219511985779, 0.660312294960022, 0.757635772228241, 0.722364604473114, 0.7026561498641968, 0.7750193476676941, 0.7335126399993896, 0.6992175579071045, 0.7353562116622925, 0.7429117560386658, 0.790621280670166, 0.6118437647819519 ]
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Scipy interpolation how to resize/resample 3x3 matrix to 5x5?
[ "How to resample an array in python", "RE pandas resample", "Python interpolation error", "Python Pandas Panel4D resample", "How to display 5x5 grid in Python?", "How to select a random position from a 3x3 matrix", "Tkinter- creating 5x5 matrix of circles with spaces in between", "Pandas data frame: resample with linear interpolation", "Python, interpolation,", "Creating a 3x3 matrix with user input numbers in python", "Scipy interpolation on a numpy array", "SciPy interpolation of large matrix", "How can I declare a 5x5 grid of numbers in Python?", "Python SciPy RectSphereBivariateSpline interpolation generating wrong data?", "How to resample dataframe with a linear interpolation by hour", "Resample and resize numpy array", "Python/Scipy Interpolation (map_coordinates)", "In SciPy, what is 'slinear' interpolation?", "Data interpolation in python", "resample dataframe with python", "Scipy Fast 1-D interpolation without any loop", "python string interpolation", "Python - Print a 5x5x3 numpy array as three 5x5 numpy arrays?", "String Interpolation in Python", "how to print 3x3 array in python?", "Interpolation in Python", "Not sure of what is wrong, trying to produce a 5x5 grid python 1-25", "Numpy get neighbors always as 3x3 matrix", "Trying to understand scipy and numpy interpolation", "linear interpolation in scipy" ]
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[ 0.8721765279769897, 0.8105571269989014, 0.8671387434005737, 0.8481292724609375, 0.88089919090271, 0.8687033653259277, 0.8620785474777222, 0.8773529529571533, 0.8558620810508728, 0.8841781616210938, 0.896553099155426, 0.9010255336761475, 0.8748012781143188, 0.871274471282959, 0.8720425367355347, 0.8932232856750488, 0.8583987355232239, 0.8799339532852173, 0.8600897789001465, 0.8619649410247803, 0.8706700205802917, 0.8653666377067566, 0.9113306999206543, 0.8549633622169495, 0.856646716594696, 0.8655829429626465, 0.8642109036445618, 0.8708418607711792, 0.8884581327438354, 0.8931861519813538 ]
[ 0.8645533323287964, 0.816672682762146, 0.8431121110916138, 0.8402389883995056, 0.8754725456237793, 0.8608696460723877, 0.8469230532646179, 0.868935227394104, 0.8383924961090088, 0.8633424639701843, 0.8791708946228027, 0.8834507465362549, 0.862938404083252, 0.8669598698616028, 0.8609213829040527, 0.8715223073959351, 0.8559517860412598, 0.8487825393676758, 0.8510145545005798, 0.8501070737838745, 0.8503421545028687, 0.8374749422073364, 0.901913583278656, 0.8344058394432068, 0.8479194641113281, 0.8468415141105652, 0.847823977470398, 0.8530094027519226, 0.8696373701095581, 0.8766039609909058 ]
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Python warnings.warn() vs. logging.warning()
[ "What's the difference between logging.warn and logging.warning in Python?", "Python: How to warn user of duplicate value in list", "Python is vs ==", "Am I using \"warnings\" module right?", "Logging warnings in Django: filter not returning anything", "How to show warnings in py.test", "Python 2 to 3 issue warnings", "Python - Return vs Print", "Python plyfile vs pymesh", "Print only the message on warnings", "logging.info doesn't show up on console but warn and error do", "Python import warning", "python logging.info does not print, logging.warn and logging.error does", "How to get rid of specific warning messages in python while keeping all other warnings as normal?", "How do I get warnings.warn to issue a warning and not ignore the line?", "Python does not warn about variable re-declaration", "How to block warnings inside a method", "Python Logging vs performance", "Python if not == vs if !=", "Python If vs. While?", "How to turn `logging` warnings into errors?", "Python logging vs. write to file", "python3: warnings.warn() crashes on bytes object after numpy import", "Make Python's `warnings.warn()` not mention itself", "Python: Warnings and logging verbose limit", "Raise exception on logging.warning", "List use of : vs. ::", "all vs and AND any vs or", "django logging - only logs warning and error", "Count warnings in Python 2.4" ]
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[ 0.952610969543457, 0.8481839895248413, 0.883334755897522, 0.857413649559021, 0.8770869970321655, 0.8890866637229919, 0.8848994374275208, 0.8691766262054443, 0.8656142950057983, 0.8690242767333984, 0.8754974603652954, 0.8942903280258179, 0.9095878601074219, 0.8675417900085449, 0.8664770126342773, 0.8645440340042114, 0.8516485691070557, 0.9156283140182495, 0.8867645263671875, 0.8729148507118225, 0.8931103348731995, 0.9183014631271362, 0.8793525099754333, 0.8976198434829712, 0.899498462677002, 0.88270503282547, 0.8235217332839966, 0.8298196792602539, 0.8920816779136658, 0.875801146030426 ]
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[ 0.9633457064628601, 0.6680244207382202, 0.5938260555267334, 0.8262803554534912, 0.7324483394622803, 0.7774901390075684, 0.709778904914856, 0.6725201606750488, 0.5525051355361938, 0.7325494289398193, 0.7177383899688721, 0.6627732515335083, 0.7939006686210632, 0.7624993920326233, 0.7752211689949036, 0.7004534006118774, 0.726614236831665, 0.7445797324180603, 0.6333105564117432, 0.6256192922592163, 0.7925001382827759, 0.7697476148605347, 0.7322367429733276, 0.7960325479507446, 0.7809309363365173, 0.7739673852920532, 0.5723994374275208, 0.48141396045684814, 0.7510374784469604, 0.7416946291923523 ]
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Changing structure of numpy array enforcing given value
[ "Changing structure of numpy array using most common value", "Changing a numpy array in place based on values in a given column?", "Enforcing side effects in python", "Enforcing compound multiple keys in django", "python - lxml: enforcing a specific order for attributes", "Enforcing method order in a python module", "Enforcing uniqueness using SQLAlchemy association proxies", "Django enforcing unique constraint on set of members in ManyToManyField", "Python metaclass for enforcing immutability of custom types", "abstract classes in python: Enforcing type", "getopt() not enforcing required arguments?", "Python dictionary enforcing single assignment", "py2neo not enforcing uniqueness constraints in Neo4j database", "Enforcing that inputs sum to 1 and are contained in the unit interval in scikit-learn", "scipy optimization minimize function not enforcing constraints", "Enforcing Class Variables in a Subclass", "Enforcing \"no 2 same contiguous elements\" in random list generation", "Pyqt: Enforcing sizeHint() dimensions on two-widget app with layout manager", "Enforcing PEP-8'ish formatting in Github commits", "Enforcing in-memory transposition of a numpy array", "Enforcing a foreign key to be referenced by at most one other table in Django", "Enforcing Method Definition for a Class", "Changing elements in a numpy Array", "Python 2.x: how to automate enforcing unicode instead of string?", "Django - enforcing ManyToManyField unique items", "Better method for enforcing ASCII characters on attribute strings", "Enforcing Python source encoding as UTF-8", "Abstract base class is not enforcing function implementation", "Flask-admin not Enforcing foreign key constraints", "Why is wxGlade enforcing a sizer as the first child for wx.Frame?" ]
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[ 0.9328744411468506, 0.8944542407989502, 0.8768149614334106, 0.8512962460517883, 0.8601163029670715, 0.8867112398147583, 0.8402589559555054, 0.859744131565094, 0.8770118951797485, 0.866127610206604, 0.8493694067001343, 0.8888874650001526, 0.8422143459320068, 0.8754279017448425, 0.8606237173080444, 0.854049026966095, 0.8591474294662476, 0.823866069316864, 0.8362108469009399, 0.9214907884597778, 0.84466552734375, 0.830203652381897, 0.9135886430740356, 0.8432173728942871, 0.8377068638801575, 0.8427873849868774, 0.8604820966720581, 0.8228961825370789, 0.8230951428413391, 0.8150472640991211 ]
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[ 0.8214342594146729, 0.7850654125213623, 0.6590148210525513, 0.643736720085144, 0.6430054903030396, 0.6541277170181274, 0.5812453627586365, 0.5951868891716003, 0.6299660801887512, 0.6579300165176392, 0.5777478814125061, 0.7265316247940063, 0.6109942197799683, 0.6957941055297852, 0.6459137201309204, 0.6744052171707153, 0.6444418430328369, 0.5729495286941528, 0.5370118021965027, 0.783414900302887, 0.5630795955657959, 0.6269303560256958, 0.7529566884040833, 0.6339409351348877, 0.5579959154129028, 0.6132445931434631, 0.5914248824119568, 0.5534587502479553, 0.5291542410850525, 0.4827668368816376 ]
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2D Array Unintended Assignment Bug
[ "create 2d array in python?", "Python 2D Array can't work. Help~", "Unintended Notched Boxplot from Matplotlib, Error from Seaborn", "2D array/list in python", "Or in assignment", "deconvolve 2D array", "Python 2D array with same values", "2D Array from a columned text file in python", "Unintended extra bar and stacking in Matplotlib Bar Graph", "Python assignment with or", "Python and assignment", "Reading Tab delimited file in Pandas with unintended line break", "Python assignment with AND and OR", "matplotlib custom colorbar unintended discrete colors", "Python unintended MRO in multiple inheritance", "Array assignment in Python", "numpy 2D array assignment with 2D value and indices arrays", "Unintended comma matching in \\d with Python regex", "Python Script returns unintended \"None\" after execution of a function", "assignment in python", "Using any()/all() on 2d array", "Python building 2d array getting list assignment index out of range", "read data from file to a 2d array [Python]", "Return value from 2D array in Python class", "What is this assignment? Python", "connecting bigquery to an unintended project", "Python Unittest - Unintended usage for assertRaises?", "flask-sqlalchemy stores unintended variables into database", "How to find a value in a 2D array in python?", "Creating a 2D Array from Another 2D Array (Python)" ]
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[ 0.8611094951629639, 0.9084402322769165, 0.880956768989563, 0.8845881223678589, 0.8360327482223511, 0.8950837850570679, 0.8746195435523987, 0.8762382864952087, 0.8755252361297607, 0.8489508628845215, 0.8590612411499023, 0.845268726348877, 0.8507702350616455, 0.8698536157608032, 0.8720176219940186, 0.8873835802078247, 0.8927541971206665, 0.8663910627365112, 0.8675724267959595, 0.8481930494308472, 0.8754199743270874, 0.9116994142532349, 0.8606960773468018, 0.8568441867828369, 0.8551925420761108, 0.869871973991394, 0.8817546367645264, 0.8566858768463135, 0.8501044511795044, 0.8756236433982849 ]
[ 0.8389363288879395, 0.8749033212661743, 0.851639986038208, 0.8542650938034058, 0.824418842792511, 0.8892257213592529, 0.8639312982559204, 0.8553426265716553, 0.8635784983634949, 0.8364474773406982, 0.854135274887085, 0.8355816602706909, 0.8387271761894226, 0.8703384399414062, 0.8701611757278442, 0.8782728910446167, 0.8828405141830444, 0.8632135391235352, 0.8588319420814514, 0.845773458480835, 0.8643097877502441, 0.8816192150115967, 0.8496134281158447, 0.8477394580841064, 0.8363643884658813, 0.8558221459388733, 0.860758364200592, 0.8616407513618469, 0.8388118743896484, 0.8642736077308655 ]
[ 0.6574326753616333, 0.7448108792304993, 0.5318589210510254, 0.6650421619415283, 0.543289065361023, 0.6502468585968018, 0.6736195087432861, 0.6331855058670044, 0.5356802940368652, 0.5766873955726624, 0.6422459483146667, 0.48816579580307007, 0.581144392490387, 0.5406250953674316, 0.6124516725540161, 0.7192684412002563, 0.7271721363067627, 0.5440340638160706, 0.5920782685279846, 0.617163896560669, 0.6952778100967407, 0.7895981073379517, 0.6190699338912964, 0.6860041618347168, 0.6135728359222412, 0.500473141670227, 0.5413782596588135, 0.5508115291595459, 0.674021303653717, 0.6802031397819519 ]
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reordering list of dicts arbitrarily in python
[ "Reordering Dictionary based on specific order", "Import into dicts", "reordering data within a pandas dataframe", "reordering for FFT in python", "Reordering pairs of values within an array so they are in sequence", "How to create a list of dicts in this way", "Reordering fields in Django model", "Reordering xml element by script", "Reordering columns in CSV", "Reordering a list in python according to the changes made in another", "editing and reordering tuples in a list", "Reordering select items in two pandas DataFrame columns", "Reordering rows of a 3D array", "Reordering numpy array indices", "Reordering Nested List Entries in Python", "Dicts in Python", "Reordering numpy array", "Reordering python list based on an algorithm or pattern", "Python String to List of Dicts", "How can I create this list of dicts", "Is numpy.transpose reordering data in memory?", "Python reordering the list of lists after sorting", "reordering of numpy arrays", "Reordering Modified QuerySet", "Python list reordering, remember original order?", "What is the Pythonic way of reordering a list consisting of dicts?", "Python: reordering a string(list) based on a previous list order", "how do i sort a list, while reordering a second list?", "Reordering rows in a database queue that are out of order", "Python Pandas reordering table" ]
[ 0.9279015064239502, 0.871846079826355, 0.9162529706954956, 0.906124472618103, 0.8952887058258057, 0.8929353952407837, 0.9054406881332397, 0.8824359774589539, 0.8958512544631958, 0.9260503053665161, 0.8899120092391968, 0.8860957622528076, 0.8925166130065918, 0.915284276008606, 0.9254692792892456, 0.874496340751648, 0.9088761806488037, 0.9272328019142151, 0.9030846953392029, 0.8833026885986328, 0.8768020868301392, 0.9307881593704224, 0.9096922874450684, 0.8821418881416321, 0.9175546765327454, 0.9408049583435059, 0.9102242588996887, 0.8913025856018066, 0.8992495536804199, 0.9140148162841797 ]
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[ 0.8920311331748962, 0.8564820289611816, 0.9103193283081055, 0.9143961668014526, 0.8824983835220337, 0.8846908807754517, 0.9051772952079773, 0.8775926828384399, 0.8840435743331909, 0.9249346256256104, 0.8986712694168091, 0.8950414061546326, 0.8806912899017334, 0.9098095893859863, 0.9161784648895264, 0.8720662593841553, 0.9131166934967041, 0.9185510873794556, 0.8903752565383911, 0.8749181628227234, 0.8651077151298523, 0.9129957556724548, 0.9156174659729004, 0.8756350874900818, 0.8988515138626099, 0.913949728012085, 0.8966077566146851, 0.8690201640129089, 0.8832874298095703, 0.8981525897979736 ]
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[ 0.8358426094055176, 0.539766252040863, 0.6930386424064636, 0.5931645631790161, 0.6549075245857239, 0.6737632751464844, 0.6621638536453247, 0.5821820497512817, 0.6342805624008179, 0.7785317897796631, 0.7470693588256836, 0.6514238119125366, 0.5892496109008789, 0.7091116905212402, 0.7678661346435547, 0.6118602752685547, 0.705140233039856, 0.7805293798446655, 0.5916750431060791, 0.6280783414840698, 0.6260854005813599, 0.7594200968742371, 0.7224053144454956, 0.6453990936279297, 0.7392738461494446, 0.9217016696929932, 0.7672869563102722, 0.7209376096725464, 0.6226550340652466, 0.6547291874885559 ]
[ 0.8587677478790283, 0.6168437004089355, 0.7354621887207031, 0.6819696426391602, 0.7354180812835693, 0.7198472023010254, 0.7161120176315308, 0.6864796280860901, 0.7004315853118896, 0.8063960075378418, 0.7857956886291504, 0.7184455394744873, 0.6852070093154907, 0.7683765292167664, 0.7997201681137085, 0.6470584869384766, 0.7421802282333374, 0.814291775226593, 0.6505840420722961, 0.6804752349853516, 0.6967231035232544, 0.7757039070129395, 0.757880449295044, 0.7132066488265991, 0.7795470952987671, 0.9183371663093567, 0.8008460998535156, 0.7690573930740356, 0.7104692459106445, 0.6882394552230835 ]
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Bubble Sort Homework
[ "How To Sort Dictionaries in Python Using Bubble Sort", "Bubble sort in Python not sorting properly", "Bubble Sort following an algorithm", "Bubble Sort using a while loop in Python", "TypeError: must be str, not int in bubble sort", "Is this most efficient to bubble sort a list in python?", "A bubble sort in Python,use to processing list", "Python Homework", "Python Bubble Sort Code Explanation", "Understanding Bubble Sort in Python", "Using bubble sort inside a .txt file", "Bubble sort not working", "Python 2.7 Bubble Sort", "If I want to bubble up a generic exception, what do i do in python?", "Bubble Sort in Python Error message", "Why this is a bad bubble sort algorithm?", "Homework on bubble sorting efficiently", "python bubble sort error", "Why bubble sort is faster than quick sort", "How to add bubble sort to my boxes in the code?", "Python - Bubble sort", "List sorting with bubble sort (list of list)", "Bubble Sort in PHP and Python", "Bubble Sort Not Returning List", "How to ask for an input and bubble sort that input?", "Error with python 3 homework", "Python Bubble sort Words", "What am I doing wrong in my basic bubble sort?", "Python Bubble sort" ]
[ 0.8856334686279297, 0.9091168642044067, 0.9187377691268921, 0.9028968811035156, 0.882820725440979, 0.8616496324539185, 0.907219648361206, 0.886496901512146, 0.9166932106018066, 0.920536994934082, 0.8957988023757935, 0.9228045344352722, 0.9231744408607483, 0.825725793838501, 0.9105430841445923, 0.8827963471412659, 0.9515843391418457, 0.9169245362281799, 0.8837587833404541, 0.8909924030303955, 0.931219220161438, 0.9068647027015686, 0.9160326719284058, 0.9047683477401733, 0.8922505378723145, 0.8618728518486023, 0.9170904755592346, 0.91070556640625, 0.9391361474990845 ]
[ 0.8974225521087646, 0.910463809967041, 0.9249871969223022, 0.9078199863433838, 0.8736964464187622, 0.8796126246452332, 0.9099597930908203, 0.8821690678596497, 0.9196966886520386, 0.9191409349441528, 0.9071498513221741, 0.9145189523696899, 0.9243768453598022, 0.827655017375946, 0.9133708477020264, 0.8888176679611206, 0.9418011903762817, 0.9125187397003174, 0.8911263346672058, 0.8821825385093689, 0.9264485836029053, 0.9046128988265991, 0.9159953594207764, 0.9079152941703796, 0.8843758702278137, 0.8614730834960938, 0.919161319732666, 0.9030856490135193, 0.9368906617164612 ]
[ 0.8737550973892212, 0.8909748196601868, 0.9052290916442871, 0.8924723863601685, 0.8621500730514526, 0.8602725863456726, 0.8821841478347778, 0.886046826839447, 0.893627941608429, 0.8991261720657349, 0.8847016096115112, 0.9093378782272339, 0.9048474431037903, 0.8157699704170227, 0.8957825899124146, 0.8714151382446289, 0.9449191689491272, 0.9101245999336243, 0.8611100912094116, 0.873170018196106, 0.9111433029174805, 0.8890414834022522, 0.8921908140182495, 0.9038656949996948, 0.8796731233596802, 0.8473834991455078, 0.9063011407852173, 0.8806425929069519, 0.9080725908279419 ]
[ 0.7629488706588745, 0.8189793825149536, 0.8822805881500244, 0.8400078415870667, 0.7697678804397583, 0.801353931427002, 0.8345940113067627, 0.6334726810455322, 0.8506313562393188, 0.8701128959655762, 0.8244308233261108, 0.8484971523284912, 0.84405916929245, 0.5153077840805054, 0.7900893688201904, 0.8379478454589844, 0.920211672782898, 0.8224150538444519, 0.7860333919525146, 0.7989329099655151, 0.8704838156700134, 0.833543062210083, 0.8048897981643677, 0.789954662322998, 0.7949103713035583, 0.5439935922622681, 0.8198522329330444, 0.8705343008041382, 0.8783974647521973 ]
[ 0.7068043351173401, 0.7694083452224731, 0.8511960506439209, 0.7917382121086121, 0.6959606409072876, 0.754065215587616, 0.7893680334091187, 0.5757936239242554, 0.8142226934432983, 0.8249225616455078, 0.7845902442932129, 0.8163078427314758, 0.8098084330558777, 0.4211578369140625, 0.7370311617851257, 0.8034459352493286, 0.9124724864959717, 0.7833325266838074, 0.7643154859542847, 0.7641019821166992, 0.841483473777771, 0.7915267944335938, 0.7578585147857666, 0.735671877861023, 0.7555187344551086, 0.4702029526233673, 0.7811238765716553, 0.8408702611923218, 0.8516441583633423 ]
[ 0.7619933485984802, 0.8053222894668579, 0.860729992389679, 0.8202783465385437, 0.7582998871803284, 0.7933198809623718, 0.812256932258606, 0.646869421005249, 0.8386523723602295, 0.8579847812652588, 0.815203070640564, 0.836882472038269, 0.8309780359268188, 0.5375226736068726, 0.7795317769050598, 0.8284692764282227, 0.9067963361740112, 0.8108600378036499, 0.7634389400482178, 0.7918186783790588, 0.8541208505630493, 0.8205247521400452, 0.7981199622154236, 0.7809951305389404, 0.7813767194747925, 0.5584309101104736, 0.8144322633743286, 0.8659056425094604, 0.869015097618103 ]
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Using Flask, how do I modify the Cache-Control header for ALL output?
[ "How can I add cache control in Flask when I'm rendering a template?", "getting location header in flask to return an id", "Using Flask-Cache to cache a lxml.html object", "Flask import error", "Need to modify the edit view in Flask admin", "python flask import error", "What does `key_prefix` do for flask-cache?", "Flask Import Error", "Using Flask return to modify a webpage", "modify content of flask page with another python script", "Flask/Python: from flask import request", "Modify list template in flask admin", "How do I work with cached values created by flask-cache", "cache in python function", "Python object cache", "Using webix with flask", "how to get feedparser to send a cache-control header?", "How to return more than just one value in Flask?", "How to use cache-control with python in GAE?", "Flask Cache not caching", "How to create a header that can be added into files flask", "Setting Cache from background process in Flask", "control flask-cache'ing from a view", "Flask change the server header", "Flask - python header import is not working", "Control .py with Flask and Buttons", "Disable cache on a specific page using Flask", "Testing the cache hits for Flask-Cache", "how to modify the output", "What is overwatch in python and flask?" ]
[ 0.9216446280479431, 0.864450991153717, 0.8881282210350037, 0.8618487119674683, 0.8849346041679382, 0.8550114631652832, 0.8852840662002563, 0.8459974527359009, 0.890775203704834, 0.8846834897994995, 0.857962965965271, 0.8813807368278503, 0.8936776518821716, 0.8568305373191833, 0.8441058993339539, 0.8700659275054932, 0.8953335285186768, 0.8702805042266846, 0.89410400390625, 0.8776897192001343, 0.8938158750534058, 0.8998229503631592, 0.8853974938392639, 0.9036702513694763, 0.8893719911575317, 0.869753360748291, 0.9047660231590271, 0.8820384740829468, 0.8733074069023132, 0.8253847360610962 ]
[ 0.9163399934768677, 0.8563505411148071, 0.8650882244110107, 0.8329648971557617, 0.8713488578796387, 0.8276418447494507, 0.8841873407363892, 0.8196691274642944, 0.8696535229682922, 0.8569309711456299, 0.8343918323516846, 0.854244589805603, 0.8995933532714844, 0.8326245546340942, 0.8324465751647949, 0.8428391218185425, 0.8919665813446045, 0.865294337272644, 0.8748772144317627, 0.8674368262290955, 0.8813213109970093, 0.8911006450653076, 0.8753738403320312, 0.8925139904022217, 0.8592502474784851, 0.8466477990150452, 0.8886124491691589, 0.8825474977493286, 0.8584221601486206, 0.8109619617462158 ]
[ 0.9216570854187012, 0.848940372467041, 0.8650591373443604, 0.8322097063064575, 0.8584548234939575, 0.8297009468078613, 0.8774412870407104, 0.8211454153060913, 0.8663599491119385, 0.8510725498199463, 0.8326152563095093, 0.8448384404182434, 0.8800845146179199, 0.8242876529693604, 0.8023701906204224, 0.8304517269134521, 0.8874564170837402, 0.8668107390403748, 0.8874506950378418, 0.8580470085144043, 0.868369460105896, 0.8666690587997437, 0.8605000972747803, 0.8853749632835388, 0.8674131035804749, 0.8451958894729614, 0.872464656829834, 0.8691623210906982, 0.8461726307868958, 0.823018491268158 ]
[ 0.8487582206726074, 0.6755015850067139, 0.7983758449554443, 0.551032543182373, 0.688054084777832, 0.5531172156333923, 0.7884669899940491, 0.551032543182373, 0.7299282550811768, 0.7399263381958008, 0.6494776010513306, 0.6963171362876892, 0.7929956316947937, 0.6991842985153198, 0.668791651725769, 0.5809680223464966, 0.7737911343574524, 0.6607769727706909, 0.7354336977005005, 0.7631423473358154, 0.748852014541626, 0.8066717386245728, 0.8350117206573486, 0.7683157920837402, 0.6440697312355042, 0.644984781742096, 0.8097315430641174, 0.7635431289672852, 0.6424630880355835, 0.5259241461753845 ]
[ 0.8291401863098145, 0.5933371782302856, 0.7508085370063782, 0.5201480388641357, 0.6045172214508057, 0.5182927846908569, 0.7353951930999756, 0.5201480388641357, 0.6712139844894409, 0.688730001449585, 0.5787860155105591, 0.6233011484146118, 0.7595783472061157, 0.6477205753326416, 0.5964910387992859, 0.5152533650398254, 0.7055679559707642, 0.5997828245162964, 0.6755874156951904, 0.7311512231826782, 0.6920488476753235, 0.7672486305236816, 0.7992070913314819, 0.7343217134475708, 0.6017306447029114, 0.5740057229995728, 0.7679310441017151, 0.7199928164482117, 0.5440769195556641, 0.4792783856391907 ]
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Cython Pickling in Package "not found as" Error
[ "When pickling a class I get different behavior in python that in cython", "Python multiprocessing PicklingError: Can't pickle <type 'function'>", "Pickling inner classes", "Pickling large NumPy array", "Pickling an object as an instance of its parent class?", "Pickling Self and Return to Run-state?", "Python: pickling nested functions", "Pickling data in python", "python: pickling c objects", "Pickling Data of Custom Format", "How to package a cython module?", "Having issues with \"Re-pickling\"", "Pickling objects that refer to each other", "Python package Cython module", "Pygame error with pickling", "Python-style pickling for C++?", "Pickling objects", "pickling class method", "Pickling Django request objects", "Pickling from multiple threads in Python", "Pickling in python 2", "Python pickling after changing a module's directory", "pandas time series and pickling", "Pickling dictionary data then loading it doesn't work", "Understanding Pickling in Python", "How to get a python function's dependencies for pickling?", "Import error in cython package", "Python Pickling Problems", "Pickling a list - error", "pickling an image object?" ]
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[ 0.8997087478637695, 0.9095355868339539, 0.8549752235412598, 0.8741629123687744, 0.8628082275390625, 0.8407495021820068, 0.8662585020065308, 0.8962564468383789, 0.8700801134109497, 0.8704502582550049, 0.8646913766860962, 0.8653600811958313, 0.845068097114563, 0.8592133522033691, 0.9088135361671448, 0.8853060007095337, 0.8641147613525391, 0.8608319759368896, 0.8716445565223694, 0.8762006759643555, 0.8988438844680786, 0.8948066234588623, 0.8601920008659363, 0.9103597402572632, 0.8821254372596741, 0.871671199798584, 0.9207249879837036, 0.9084658622741699, 0.8939793109893799, 0.8520159721374512 ]
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[ 0.7732342481613159, 0.6937772631645203, 0.6506640315055847, 0.5863559246063232, 0.6399393081665039, 0.6080341935157776, 0.6462092399597168, 0.622885525226593, 0.6799384355545044, 0.5976639986038208, 0.7750952243804932, 0.6629060506820679, 0.6015602946281433, 0.7724896669387817, 0.6747008562088013, 0.664057731628418, 0.6006594896316528, 0.6221502423286438, 0.5864348411560059, 0.6113156080245972, 0.6783385276794434, 0.7055172920227051, 0.5570553541183472, 0.6772364377975464, 0.6286544799804688, 0.7196351289749146, 0.8128383755683899, 0.6928585767745972, 0.7114646434783936, 0.6130449771881104 ]
[ 0.7536152005195618, 0.647400975227356, 0.5992140173912048, 0.544493556022644, 0.5899041891098022, 0.5354323387145996, 0.6126214861869812, 0.5853882431983948, 0.6348292827606201, 0.543319046497345, 0.7276832461357117, 0.6064183712005615, 0.5490026473999023, 0.7155362367630005, 0.6057693958282471, 0.6314979791641235, 0.553927481174469, 0.5770999193191528, 0.5058320760726929, 0.5671485066413879, 0.642598569393158, 0.6145188808441162, 0.5245243310928345, 0.6163845658302307, 0.6072763800621033, 0.6504436731338501, 0.76993727684021, 0.654189944267273, 0.6621620059013367, 0.5480655431747437 ]
[ 0.7842339873313904, 0.7130267024040222, 0.6649148464202881, 0.6137921214103699, 0.6668738722801208, 0.6295391321182251, 0.6729445457458496, 0.6487343311309814, 0.6937724351882935, 0.6251623630523682, 0.7767365574836731, 0.6830077171325684, 0.6197800636291504, 0.7577853798866272, 0.6867055892944336, 0.6834356188774109, 0.6287075281143188, 0.6327593326568604, 0.6212853193283081, 0.635220468044281, 0.6985341310501099, 0.7014718055725098, 0.6067997217178345, 0.6851263642311096, 0.6542332768440247, 0.7208970785140991, 0.79985511302948, 0.7072124481201172, 0.7247271537780762, 0.6432909965515137 ]
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How can I write data in YAML format in a file?
[ "How can I parse a YAML file in Python", "What is the difference between ! and !! in yaml?", "How can I add a comment to a YAML file in Python", "Reading YAML file with Python results in yaml.composer.ComposerError: expected a single document in the stream", "Run a python command from a .yaml file", "Create datetime.time() object in yaml?", "How do I convert a python list to simple YAML?", "YAML python parser", "how to add a list under one tag in yaml file by Python", "Should I read googleads.yaml file for every request?", "Change path's in yaml files", "how to get a single list element in yaml format", "How to write `app.yaml` file for Google App Engine app?", "python to loop over yaml config", "Using Python with YAML", "How to update yaml file using python?", "YAML does not call the constructor", "Parse yaml into a list in python", "How to update yaml file using python", "Changing a value in a yaml file using Python", "Error while reading YAML file in python", "How can I print [] without string in Python in YAML file", "write parameter and value to yaml using python", "Get yaml key value in python", "Reading YAML file with Python results in AttributeError", "Copy content from one YAML to another YAML after comparison of keys", "Python to \"Convert\" YAML into XML", "How to parse/read a YAML file into a Python object?", "Convert YAML to string in Python", "Edit yaml file with Python" ]
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[ 0.9163929224014282, 0.8517496585845947, 0.9100475311279297, 0.8625813722610474, 0.8538470268249512, 0.8695809841156006, 0.9044647812843323, 0.8637685775756836, 0.8687439560890198, 0.8495730757713318, 0.8814101815223694, 0.8690743446350098, 0.8866869211196899, 0.8599360585212708, 0.8952800631523132, 0.9152913689613342, 0.8304974436759949, 0.8758835792541504, 0.9059162735939026, 0.8980332016944885, 0.8987709283828735, 0.8920667767524719, 0.9036970734596252, 0.8734152913093567, 0.8840727210044861, 0.8456134796142578, 0.8843108415603638, 0.9167895317077637, 0.8984127044677734, 0.9017491340637207 ]
[ 0.8797901272773743, 0.8656142354011536, 0.8779533505439758, 0.836274266242981, 0.843370258808136, 0.8608758449554443, 0.8846936225891113, 0.8206047415733337, 0.8498809933662415, 0.8392534852027893, 0.8525147438049316, 0.857012927532196, 0.8902863264083862, 0.8217179775238037, 0.8510501980781555, 0.8896438479423523, 0.8076988458633423, 0.8466544151306152, 0.8610845804214478, 0.8642720580101013, 0.8611503839492798, 0.8678873777389526, 0.8640393614768982, 0.8352434635162354, 0.8528939485549927, 0.8219043612480164, 0.8516043424606323, 0.8886481523513794, 0.8644092082977295, 0.8572757840156555 ]
[ 0.8311305046081543, 0.62373948097229, 0.7870355844497681, 0.7441716194152832, 0.7516217827796936, 0.72259920835495, 0.8028690218925476, 0.764022946357727, 0.7864561080932617, 0.6169015765190125, 0.722095251083374, 0.7818460464477539, 0.7630597352981567, 0.7453705072402954, 0.8041146993637085, 0.8253285884857178, 0.6894971132278442, 0.7602294087409973, 0.8162851333618164, 0.7887774705886841, 0.7570669651031494, 0.7824297547340393, 0.8553573489189148, 0.7547529339790344, 0.7697930335998535, 0.6867319941520691, 0.8094433546066284, 0.819223940372467, 0.8312158584594727, 0.8011429905891418 ]
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[ 0.8316939473152161, 0.6353194117546082, 0.7824801802635193, 0.7311466932296753, 0.7548023462295532, 0.7216521501541138, 0.8006996512413025, 0.7606544494628906, 0.7665244340896606, 0.6372390389442444, 0.729073703289032, 0.7740384936332703, 0.7771952152252197, 0.7320857048034668, 0.7950586080551147, 0.8240625858306885, 0.6889632940292358, 0.7549876570701599, 0.8104437589645386, 0.7770494222640991, 0.7399829626083374, 0.7821853160858154, 0.8436963558197021, 0.7429118156433105, 0.7626947164535522, 0.6789842844009399, 0.8040099143981934, 0.8113577961921692, 0.8286078572273254, 0.7977245450019836 ]
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What is the relationship between virtualenv and pyenv?
[ "numpy, pandas modules not found when deploying flask app behind apache with pyenv and virtualenv", "What is the difference between pyenv, virtualenv, anaconda?", "Django, Pyenv and Git file structure on Ubuntu", "PyCharm with Pyenv", "Failed to activate virtualenv with pyenv", "pyenv proxy not work on MAC", "Ubuntu 14.04 - Python 3.4 - pyenv: command Not Found", "Why is python 3.6.1. not available in pyenv?", "PyCharm & Pyenv local?", "How to install libxml2 for python when using pyenv", "Install Python of specific version system-wide with pyenv", "Python: How can I update python version in pyenv-virtual-environment?", "PyEnv looking for virtualenvwrapper on system Python 2.7.9", "Error: Missing the OpenSSL lib? while trying to install python in pyenv/ SUSE12 environment", "Cannot import tkinter after installing Python 3 with pyenv", "Why can I not install pyenv?", "pyenv tcshell eval pyenv int response illegal variable name", "Python can't install with pyenv in mac", "How can I make homebrew's python and pyenv live together?", "pyenv and anaconda issue with 'export PATH'", "Pyenv - virtualenv how to specify virtualenv used by using .file?", "Can not import matplotlib with pyenv ipython notebook", "what shebang to use for python scripts run under a pyenv virtualenv", "Using Flask in a virtualenv with Pyenv", "How do you create a virtualenv using python installed by pyenv", "Building a Python 3 version using pyenv while linked to a custom sqlite3", "triggering different app environments with pyenv-virtualenv", "jupyter not using version set by pyenv", "Pyenv not auto activating", "pyenv failing to install package for python 3.5.3" ]
[ 0.8340074419975281, 0.9391750693321228, 0.8603845834732056, 0.8676988482475281, 0.8797568082809448, 0.8510921597480774, 0.8450099229812622, 0.8700657486915588, 0.8788051009178162, 0.8430696725845337, 0.8665717840194702, 0.8855853080749512, 0.8623404502868652, 0.849811851978302, 0.8277517557144165, 0.892744779586792, 0.8585456609725952, 0.8463693857192993, 0.8962544202804565, 0.8363756537437439, 0.882369875907898, 0.8243278861045837, 0.8600224256515503, 0.886228084564209, 0.8876770734786987, 0.8524215221405029, 0.872642993927002, 0.8534433245658875, 0.855204701423645, 0.8396780490875244 ]
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boost::python Export Custom Exception
[ "Boost.Python custom exception class", "Python* to boost::python::object", "boost module in Python 2.7?", "How to import a function from python file by Boost.Python", "Boost python export singleton", "How to catch custom exception of python site by boost::python", "How to call Python from a boost thread?", "how to use parameters of class_ from boost.python", "Boost.Python create handle from type", "boost python with threads", "Boost-python How to pass a c++ class instance to a python class", "Import errors with boost_python", "How does import work with Boost.Python from inside python files", "Print Boost Python object", "How to import class from python module (boost.python)?", "Boost.Python id of object", "boost.python code on module import", "What happens during and after boost::python::import?", "Can't return instance of class in Boost Python", "Boost.Python - Passing boost::python::object as argument to python function?", "Boost and Python 3.x", "Return a structure to Python from C++ using BOOST.python", "Boost.Python and Boost.Function", "Pass by reference in Boost::Python", "from X import Y with Boost.Python", "Boost.Python - How to return by reference?", "None in boost.python", "Python method to boost function", "C++ and boost::python", "Export variable into python from C++ using boost.python" ]
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Is it possible to do multiple complex regex substitutions, where the substitution is a function, in a single line in python?
[ "How can I do multiple substitutions using regex in python?", "Multiple substitutions of numbers in string using regex python", "Python 3 regex multiple substitution in a file", "Substitutions with elements from a list with re.sub?", "Calling a substitution function Regex Python", "Python regex substitution using a dictionary", "How can I process variable substitutions in bash?", "String substitutions based on the matching object (Python)", "Simple Python Regex Substitution", "python string substitution", "Group in Python regex substitution", "String or list substitution in Python", "Python: regex substitution", "String substitutions using templates in Python", "$project_path substitutions in a SublimeText2 build-system for Python", "substitution with regex pattern", "Using instance variables as named format substitutions", "Fastest implementation to do multiple string substitutions in Python", "Using .format() to center things that aren't substitutions", "multiple regex substitution in multiple files using python", "Replace words with word-substitutions from another file", "Python - read csv file of unicode substitutions", "Combining multiple regex substitutions", "Unicode Substitutions using Regex , Python", "Multiple, specific, regex substitutions in Python", "regex for string substitution", "PYTHON: Multiple Substitutions Using Regular Expressions", "if statement in python regex substitution", "Multiple regex substitutions", "Python RegEx substitution of all but first instance found" ]
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How exactly is Python Bytecode Run in CPython?
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How to find duplicates in a python list that are adjacent to each other and list them with respect to their indices?
[ "How do I find the duplicates in a list and create another list with them?", "Adjacent/Connected Elements Array", "Find duplicates in a column, then add values in adjacent column", "list of duplicates on python", "adjacent letters in strings", "Selenium: Find adjacent elements", "compare all adjacent columns in a dataframe", "Difference of elements to find same adjacent", "Remove adjacent duplicate elements from a list", "Iterate over a ‘window’ of adjacent elements in Python", "Python:How to pick adjacent elements?", "get adjacent matrix of point in python", "Regex Adjacent Characters", "Python Removing Adjacent Numbers", "How to find duplicates values in list Python", "recursively remove adjacent duplicates in a list", "return duplicates in a list", "How to remove same adjacent line/lines in a file using python?", "Python. List of list check for adjacent spaces", "Python - How to replace adjacent list elements with a different value", "How to group the data by id and find the difference of adjacent data?", "Two adjacent lists in python", "Displaying a File without Adjacent Duplicates in Python", "Compare adjacent values in numpy array", "Can I find adjacent duplicates of a specific character in a string?", "Create duplicates in the list", "How do I reference adjacent elements in a matrix?", "Python: group list items by adjacent same value", "python sort with adjacent difference", "Remove and return adjacent elements from a list" ]
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[ 0.9217139482498169, 0.8401793241500854, 0.9060319066047668, 0.866378664970398, 0.8578814268112183, 0.8687120676040649, 0.87476646900177, 0.8734121918678284, 0.9014620780944824, 0.8736544847488403, 0.8953651785850525, 0.8572834730148315, 0.8363946676254272, 0.8546944856643677, 0.9069012403488159, 0.8925154805183411, 0.8786996603012085, 0.8862359523773193, 0.8906614780426025, 0.8857964873313904, 0.9074738025665283, 0.8984673619270325, 0.8667192459106445, 0.8871444463729858, 0.901422381401062, 0.8714723587036133, 0.8759347200393677, 0.8893606662750244, 0.872381329536438, 0.8813266754150391 ]
[ 0.9085041880607605, 0.8251625895500183, 0.8999414443969727, 0.8788564801216125, 0.8386939167976379, 0.8605544567108154, 0.8650103211402893, 0.8604503870010376, 0.8967106342315674, 0.8752924203872681, 0.9042500257492065, 0.8804687857627869, 0.8150699734687805, 0.8673965930938721, 0.9058623313903809, 0.9032894968986511, 0.8687925934791565, 0.9073787927627563, 0.8946859240531921, 0.9000730514526367, 0.9044110774993896, 0.9018591642379761, 0.8740955591201782, 0.8922839760780334, 0.9010051488876343, 0.8591458797454834, 0.8875972628593445, 0.897201657295227, 0.8718383312225342, 0.8768211007118225 ]
[ 0.8277837634086609, 0.7330890893936157, 0.7597829103469849, 0.8001239895820618, 0.6728379130363464, 0.6797205805778503, 0.7111408710479736, 0.7602593898773193, 0.8590439558029175, 0.7136924266815186, 0.7505478858947754, 0.691798210144043, 0.623062014579773, 0.7053636908531189, 0.8203232884407043, 0.8488487005233765, 0.7851470112800598, 0.6994322538375854, 0.7515616416931152, 0.745128870010376, 0.6880847215652466, 0.8023897409439087, 0.7541347742080688, 0.7875802516937256, 0.7715120315551758, 0.7196435928344727, 0.6873251795768738, 0.8102216720581055, 0.716492772102356, 0.7790225744247437 ]
[ 0.7883118987083435, 0.640313982963562, 0.7012245655059814, 0.7768591642379761, 0.5759340524673462, 0.5757781863212585, 0.6354148387908936, 0.6801919937133789, 0.8167425990104675, 0.6366747617721558, 0.6903759241104126, 0.6223702430725098, 0.5326147079467773, 0.6428084969520569, 0.7886011004447937, 0.8042014837265015, 0.7465566396713257, 0.6229158639907837, 0.6726421117782593, 0.683503270149231, 0.5739874243736267, 0.7656915187835693, 0.6995159983634949, 0.7088265419006348, 0.6986759901046753, 0.6890833377838135, 0.5795464515686035, 0.7544057965278625, 0.6509102582931519, 0.6957710981369019 ]
[ 0.8173230886459351, 0.7452542185783386, 0.7712345123291016, 0.7780303955078125, 0.685319185256958, 0.7114406824111938, 0.7284244298934937, 0.7661104798316956, 0.8618167638778687, 0.7263609170913696, 0.758350133895874, 0.7036992311477661, 0.6453112959861755, 0.7172467708587646, 0.7924152612686157, 0.8521039485931396, 0.763006329536438, 0.7207796573638916, 0.7472891807556152, 0.7502256631851196, 0.6977134943008423, 0.7996108531951904, 0.77162766456604, 0.7942895889282227, 0.7910494804382324, 0.7091193199157715, 0.7182031869888306, 0.8081637620925903, 0.7199649810791016, 0.7801609039306641 ]
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What is the equivalent of MATLAB's repmat in NumPy
[ "numpy.tile did not work as Matlab repmat", "Python numpy equivalent of bandpower() from MATLAB", "What is python's equivalent of Matlab's ranksum?", "Python generating repmat using each column individually", "MATLAB ind2sub equivalent in Python", "equivalent from MATLAB to Python", "python equivalent of mxCreateDoubleMatrix from MATLAB", "Python equivalent to Matlab function 'ellipke'", "Is there a Python equivalent to MATLAB's pearsrnd function?", "Python equivalent to Matlab's set function", "Matlab's binoinv equivalent in Python", "The equivalent function of Matlab imfilter in Python", "MatLab transformPointsForward equivalent in Python", "Python equivalent of the MATLAB psf2otf function", "MATLAB ksdensity equivalent in Python", "C++ / Python Equivalent of Matlab's num2hex", "What is the equivalent of matlab's smooth3 function in python?", "What is the equivalent of matlab's wkeep in Python?", "conversion from matlab to python of repmat", "Numpy equivalent of Matlab's findpeaks function?", "What is the Matlab equivalent to Python's `not in`?", "numpy equivalent of matlab dummyvar", "Unable to convert MATLAB to Python code for repmat and symmetry", "Is there a Python equivalent to Matlab's makelut, applylut?", "MATLAB fftfilt equivalent for Python", "Does Python have an equivalent of VideoReader in Matlab?", "Python equivalent for MATLAB's normplot?", "Python equivalent of Matlab textscan", "Equivalent of Matlab in Python", "Is there a MATLAB accumarray equivalent in numpy?" ]
[ 0.8900488615036011, 0.8970136642456055, 0.8824179172515869, 0.8796096444129944, 0.8704924583435059, 0.8982037305831909, 0.872642993927002, 0.8834089040756226, 0.8931645154953003, 0.8948874473571777, 0.8893814086914062, 0.8741918802261353, 0.8731289505958557, 0.8647247552871704, 0.8842694759368896, 0.883526086807251, 0.8794331550598145, 0.880030632019043, 0.9175101518630981, 0.9184076189994812, 0.8897432684898376, 0.9110735654830933, 0.8869395852088928, 0.8875167369842529, 0.874652624130249, 0.8755996823310852, 0.9053871631622314, 0.8733519315719604, 0.8921797871589661, 0.9097782373428345 ]
[ 0.8952420353889465, 0.8964804410934448, 0.9001917839050293, 0.8788166046142578, 0.8815377950668335, 0.9025484919548035, 0.8807571530342102, 0.890072226524353, 0.886191725730896, 0.908639669418335, 0.8866012692451477, 0.8938794136047363, 0.8723817467689514, 0.8786874413490295, 0.8790571689605713, 0.8878375291824341, 0.8796661496162415, 0.8906055688858032, 0.9094589948654175, 0.9050034284591675, 0.8936165571212769, 0.8985946178436279, 0.8972605466842651, 0.8864297866821289, 0.8761852979660034, 0.8808447122573853, 0.9075890779495239, 0.8819160461425781, 0.9104337692260742, 0.9113733172416687 ]
[ 0.882972240447998, 0.8860464692115784, 0.8721851706504822, 0.8572118282318115, 0.8615321516990662, 0.8605422973632812, 0.8610422015190125, 0.8545916676521301, 0.859792172908783, 0.8553935885429382, 0.8637518882751465, 0.8813471794128418, 0.8574656248092651, 0.8506146669387817, 0.8660728335380554, 0.8645836114883423, 0.866002082824707, 0.8605998754501343, 0.8852188587188721, 0.893012523651123, 0.8501037955284119, 0.8814196586608887, 0.8740068674087524, 0.8742800951004028, 0.8680657148361206, 0.8508538603782654, 0.8920279741287231, 0.8563716411590576, 0.87563157081604, 0.8998273611068726 ]
[ 0.8206971883773804, 0.7203181982040405, 0.7230346202850342, 0.754255473613739, 0.7146215438842773, 0.7786896228790283, 0.7160270810127258, 0.6866984963417053, 0.7440436482429504, 0.7244461178779602, 0.7268399596214294, 0.7018718719482422, 0.7286698818206787, 0.6834816336631775, 0.7281478643417358, 0.7085881233215332, 0.6922798156738281, 0.7095508575439453, 0.9129189848899841, 0.6949915885925293, 0.6598427295684814, 0.7474666833877563, 0.7976275682449341, 0.7380463480949402, 0.6656200885772705, 0.6504001617431641, 0.737836480140686, 0.6838604211807251, 0.7948974967002869, 0.7908267974853516 ]
[ 0.7929562330245972, 0.636863112449646, 0.6531941890716553, 0.7230318784713745, 0.6523089408874512, 0.7301915884017944, 0.6533166766166687, 0.5995458364486694, 0.6763206720352173, 0.6588897109031677, 0.657041072845459, 0.6158983111381531, 0.6588839292526245, 0.6053391098976135, 0.6533262729644775, 0.6367173194885254, 0.6108546853065491, 0.6285754442214966, 0.900718092918396, 0.6250178813934326, 0.5653629302978516, 0.6852912306785583, 0.7738257050514221, 0.6649715304374695, 0.5780057311058044, 0.5649073123931885, 0.6811304092407227, 0.614019513130188, 0.7442744374275208, 0.7290796041488647 ]
[ 0.8359237909317017, 0.7187777757644653, 0.7286664247512817, 0.7742214798927307, 0.7100224494934082, 0.7790935039520264, 0.7042447328567505, 0.6820139288902283, 0.7440059781074524, 0.7295413017272949, 0.7160725593566895, 0.6997743248939514, 0.7276889681816101, 0.6780577898025513, 0.714124321937561, 0.719162106513977, 0.6921759843826294, 0.7032201290130615, 0.9186133146286011, 0.6931802034378052, 0.662068247795105, 0.7417311072349548, 0.8099105358123779, 0.735952615737915, 0.6675732135772705, 0.6578890085220337, 0.7313337922096252, 0.6894049644470215, 0.7903448343276978, 0.7757189273834229 ]
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Matplotlib Navigation Toolbar: remove "Edit curves lines and axes parameters"
[ "How to modify the navigation toolbar easily in a matplotlib figure window?", "OpenCV, area between two curves", "Python -- matplotlib elliptic curves", "Distance between two curves", "python help django navigation", "How do I change x and y axes in matplotlib?", "Plot multiple curves with matplotlib.pyplot.fill", "Edit curves lines and axes parameter option not showing in matplotlib", "Grid lines in parasitic axes in matplotlib", "Python, How to fill between multiple (4) curves?", "About learning curves", "Remove Matplotlib Toolbar from the Graph", "plotting multiple curves in matplotlib / python", "Manipulating curves with python", "Animating two curves in the same plot at the same time in Matplotlib", "Plotting multiple 2d curves with matplotlib in 3d", "Matplotlib: Argument dimensions are incompatible fill between curves", "Add information to matplotlib Navigation toolbar/status bar?", "python plot several curves from dataframe", "matplotlib: change axes", "error met in plot two curves in one Figure (python-pandas-matplotlib)", "Set top level axis for navigation toolbar and pick events", "Plot implicit equations in Python 3", "Best fit from a set of curves to data points", "Matplotlib more than 3 lines on same axes", "Matplotlib - Navigation Toolbar shortcuts not working", "How to surround curves with annotation in matplotlib?", "Making Load Duration Curves in Matplotlib", "Does matplotlib axes know which figure it is in?", "Python: How to fit curves" ]
[ 0.9013032913208008, 0.8392640352249146, 0.8753578662872314, 0.8161857724189758, 0.8316550850868225, 0.8970415592193604, 0.8794606328010559, 0.9564658403396606, 0.8886269330978394, 0.8622393012046814, 0.8356841206550598, 0.9131286144256592, 0.8903586864471436, 0.8702689409255981, 0.876409649848938, 0.8843873739242554, 0.8852997422218323, 0.8994048833847046, 0.8702820539474487, 0.8823270797729492, 0.8892756700515747, 0.8818480968475342, 0.8406496047973633, 0.8372830152511597, 0.8873242139816284, 0.9106968641281128, 0.884488582611084, 0.8714431524276733, 0.8708908557891846, 0.8671497702598572 ]
[ 0.8913795948028564, 0.8379764556884766, 0.8770098090171814, 0.8413354158401489, 0.8292350769042969, 0.8920398950576782, 0.8635525107383728, 0.9470638036727905, 0.877923846244812, 0.8467435836791992, 0.8370989561080933, 0.9136656522750854, 0.8821799159049988, 0.8760600686073303, 0.8635627627372742, 0.8689459562301636, 0.8870022296905518, 0.8894402980804443, 0.8621160387992859, 0.9025372266769409, 0.8674657940864563, 0.8729523420333862, 0.8348557353019714, 0.8417832851409912, 0.8848077058792114, 0.8925400972366333, 0.8672550320625305, 0.8730414509773254, 0.8594052791595459, 0.8714772462844849 ]
[ 0.8881150484085083, 0.8318111896514893, 0.868128776550293, 0.8335970640182495, 0.8211026191711426, 0.8658198118209839, 0.8424618244171143, 0.9190384149551392, 0.8499873876571655, 0.8347117900848389, 0.804627537727356, 0.903361976146698, 0.8523067235946655, 0.8547346591949463, 0.8538845181465149, 0.844789981842041, 0.8686820864677429, 0.8832991123199463, 0.8345031142234802, 0.8839714527130127, 0.855117917060852, 0.8568381071090698, 0.8252788782119751, 0.8208547234535217, 0.8664844632148743, 0.8885788321495056, 0.8460249900817871, 0.838254451751709, 0.8370023965835571, 0.8530553579330444 ]
[ 0.8134749531745911, 0.5490249991416931, 0.6097990274429321, 0.5780445337295532, 0.5570591688156128, 0.7202237844467163, 0.6702436208724976, 0.8489178419113159, 0.6853048801422119, 0.6409142017364502, 0.46463704109191895, 0.85015469789505, 0.6644096374511719, 0.6944069862365723, 0.6287125945091248, 0.6551215052604675, 0.7052258253097534, 0.7836116552352905, 0.6287596225738525, 0.7188413143157959, 0.5991671085357666, 0.6978061199188232, 0.5689725279808044, 0.5798455476760864, 0.6691676378250122, 0.7864558696746826, 0.6870967149734497, 0.6330980062484741, 0.6425803899765015, 0.6028134822845459 ]
[ 0.7760875821113586, 0.4718891978263855, 0.562961220741272, 0.5286222696304321, 0.48675185441970825, 0.6814814805984497, 0.593365490436554, 0.8317587971687317, 0.64403235912323, 0.5647587180137634, 0.4339713454246521, 0.8113775253295898, 0.6155669689178467, 0.6582895517349243, 0.5659608840942383, 0.6021483540534973, 0.661507248878479, 0.7265953421592712, 0.5712325572967529, 0.6839702129364014, 0.5367842316627502, 0.6287854909896851, 0.5021193027496338, 0.543363094329834, 0.6248824596405029, 0.7441474199295044, 0.6227985620498657, 0.5561931133270264, 0.5841277837753296, 0.5576521754264832 ]
[ 0.806629478931427, 0.5484097003936768, 0.6260467767715454, 0.5742064118385315, 0.5600320100784302, 0.7114431858062744, 0.6571851968765259, 0.8452242016792297, 0.6831892728805542, 0.6346517205238342, 0.4917582869529724, 0.8451868295669556, 0.6494544744491577, 0.6821051836013794, 0.6117615699768066, 0.6468839645385742, 0.7013170719146729, 0.7746880054473877, 0.6173102259635925, 0.7065666913986206, 0.5865586996078491, 0.687730610370636, 0.5554256439208984, 0.5831778049468994, 0.6593943238258362, 0.773453950881958, 0.6824127435684204, 0.6382721662521362, 0.6384766101837158, 0.5996708869934082 ]
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More examples for the event profiler in pyalgotrade
[ "NotImplementedError() what does this mean, event profiler pyalgotrade", "Memory profiler for numpy", "ERROR with Pyalgotrade", "Is there a memory profiler for python2.7?", "How do you get the Python profiler to work?", "Why does line_profiler in python not add up the times correctly?", "Pyalgotrade advice needed for stoploss orders", "Pyalgotrade SMA Coding Clarification", "Trying to understand python memory profiler", "Assertion Error - Pyalgotrade", "NameError: global name 'indicator' is not defined using Pyalgotrade in Python", "Python Profiler garbage", "formatting data from a new source in pyalgotrade", "Which Python memory profiler is recommended?", "TypeError in Python when using Pyalgotrade", "Backtesting using multiple instruments in PyAlgoTrade", "How to use memory_profiler (python module) with class methods?", "python line profiler view result", "Python line_profiler not finding module", "AttributeError: 'float' object has no attribute 'getLow' using Pyalgotrade in Python", "Python profiler usage with objects", "ImportError from using the trading strategy in PyAlgoTrade tutorial", "error from downloading example data from yahoo finance in PyAlgoTrade", "How to know if a python programming is running under a profiler?", "Python line-by-line memory profiler?", "KeyError importing yahoo bars with Pyalgotrade", "How to create visual profiler?", "Pyalgotrade - TA-LIB - Indicator Returns \"NONE\"", "Python 3 memory profiler or simple alternative", "Python profiler not giving enough information" ]
[ 0.9024837017059326, 0.8667683601379395, 0.864161491394043, 0.8428465127944946, 0.8528444170951843, 0.8312026262283325, 0.8442971706390381, 0.8601847887039185, 0.874302089214325, 0.8548500537872314, 0.8457075357437134, 0.8502441644668579, 0.8701292276382446, 0.8503512144088745, 0.8700947165489197, 0.8609563112258911, 0.8288315534591675, 0.8609795570373535, 0.8231112360954285, 0.8508108854293823, 0.8810961246490479, 0.8543932437896729, 0.8560861945152283, 0.8584853410720825, 0.8543251752853394, 0.8592504858970642, 0.8458579778671265, 0.8377871513366699, 0.8657771348953247, 0.8643876314163208 ]
[ 0.900661051273346, 0.8772857189178467, 0.8760296106338501, 0.8502864837646484, 0.8400392532348633, 0.8305028676986694, 0.8628346920013428, 0.8615320920944214, 0.8914393186569214, 0.8405006527900696, 0.8584606051445007, 0.8506155014038086, 0.8814892768859863, 0.8457063436508179, 0.8852063417434692, 0.8791828751564026, 0.8384953141212463, 0.8692200183868408, 0.8358743190765381, 0.8405357599258423, 0.8702460527420044, 0.8574967980384827, 0.8556045889854431, 0.8534685373306274, 0.8429046869277954, 0.8638225793838501, 0.8250972032546997, 0.8265105485916138, 0.8699938058853149, 0.867495059967041 ]
[ 0.891944169998169, 0.8621319532394409, 0.8633787631988525, 0.8460895419120789, 0.8518930077552795, 0.8287435173988342, 0.8419640064239502, 0.843126654624939, 0.8764777779579163, 0.8377544283866882, 0.8492650389671326, 0.8531326055526733, 0.8771968483924866, 0.8266754746437073, 0.8715188503265381, 0.856670618057251, 0.8359276056289673, 0.8602697849273682, 0.823872983455658, 0.844805121421814, 0.8634564876556396, 0.8331999182701111, 0.8442151546478271, 0.8607246279716492, 0.8477462530136108, 0.8459295034408569, 0.8297232389450073, 0.8367571830749512, 0.8475915193557739, 0.859784722328186 ]
[ 0.7535979151725769, 0.5695481300354004, 0.6900026798248291, 0.5619869232177734, 0.6169357299804688, 0.5685006976127625, 0.6655131578445435, 0.6264936327934265, 0.5807649493217468, 0.685271680355072, 0.70674729347229, 0.5776594877243042, 0.7019585371017456, 0.5732486248016357, 0.6798732280731201, 0.762841522693634, 0.5541611313819885, 0.6250811815261841, 0.5201196670532227, 0.6666347980499268, 0.6382935047149658, 0.6257072687149048, 0.6728012561798096, 0.6036137938499451, 0.5724743604660034, 0.5991409420967102, 0.5768284201622009, 0.6734136343002319, 0.5499041080474854, 0.639671266078949 ]
[ 0.7515872120857239, 0.5204263925552368, 0.6874321699142456, 0.5163936614990234, 0.5819662809371948, 0.5191146731376648, 0.621961236000061, 0.5781782865524292, 0.5436760783195496, 0.6710425615310669, 0.6846267580986023, 0.5648026466369629, 0.6869804859161377, 0.535449743270874, 0.6648678779602051, 0.7415459156036377, 0.4890992045402527, 0.5829514265060425, 0.48972564935684204, 0.626293420791626, 0.5936011672019958, 0.6354104280471802, 0.6331434845924377, 0.5551560521125793, 0.5336352586746216, 0.5689545273780823, 0.5334441661834717, 0.6468252539634705, 0.5206143856048584, 0.5898064374923706 ]
[ 0.7716623544692993, 0.5960499048233032, 0.6956368684768677, 0.5978241562843323, 0.6541454792022705, 0.5919833183288574, 0.6575835347175598, 0.6427027583122253, 0.6112656593322754, 0.6868550777435303, 0.7103631496429443, 0.6071223616600037, 0.7010118365287781, 0.6038345694541931, 0.6915403604507446, 0.7520850896835327, 0.5895135998725891, 0.6329468488693237, 0.5614347457885742, 0.6741966605186462, 0.645828127861023, 0.6465848088264465, 0.6788240671157837, 0.6137120127677917, 0.5992313027381897, 0.6220049262046814, 0.5963584184646606, 0.68525630235672, 0.5790340900421143, 0.6495856642723083 ]
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Does anyone have example code of using scipy.stats.distributions?
[ "What do all the distributions available in scipy.stats look like?", "Creating new distributions in scipy", "Trouble importing scipy.stats for scipy 0.13 build 2", "Sum of multiple distributions", "how to print equation of line using scipy stats", "Call scipy.stats probability distributions like normal python functions", "What are the a and b parameters in scipy.stats.johnsonsu?", "scipy.stats seed?", "Scipy Stats.describe and Pandas", "Character Distributions", "Truncating SciPy random distributions", "Distributions and p-values in python", "Scipy - Stats - Meaning of parameters for probability distributions", "scipy.stats.kstest with distributions other than norm", "No distributions at all found for setup.py", "How do you get lower and upper bounds from scipy.stats.distributions objects?", "scipy: Which distributions have a \"fit\" function implemented?", "Can't use scipy stats function on nested list", "Using scipy.stats.stats in django after deployment", "What method does scipy use to select random values from continuous distributions?", "Import scipy.stats error", "Getting the parameter names of scipy.stats distributions", "using the stats package in scipy error in Python?", "Switch python distributions", "No distributions at all found for some package", "Getting list of numpy.random distributions", "Python SciPy Stats percentilofscore", "Using two different Python Distributions", "Why do the Frechet distributions differ in scipy.stats vs R", "python's scipy.stats.ranksums vs. R's wilcox.test" ]
[ 0.9203681945800781, 0.8840360045433044, 0.8985732197761536, 0.8361638784408569, 0.8845741748809814, 0.9176157712936401, 0.8674727082252502, 0.8901940584182739, 0.8862408399581909, 0.8242902755737305, 0.8661555051803589, 0.8744000196456909, 0.8717674016952515, 0.8884271383285522, 0.8475036025047302, 0.922500729560852, 0.8947151899337769, 0.8801027536392212, 0.8907495141029358, 0.8746731281280518, 0.8870160579681396, 0.9077497720718384, 0.9178298711776733, 0.8545564413070679, 0.8244280815124512, 0.8872414827346802, 0.8710533380508423, 0.8739721775054932, 0.8628667593002319, 0.8796791434288025 ]
[ 0.9020711183547974, 0.8775278329849243, 0.8872709274291992, 0.8313034772872925, 0.8531328439712524, 0.8885298371315002, 0.846117377281189, 0.8873006105422974, 0.8668391108512878, 0.8304542303085327, 0.857110321521759, 0.8536782264709473, 0.8512066602706909, 0.8741242289543152, 0.8430826663970947, 0.8972212672233582, 0.8755680322647095, 0.8654378056526184, 0.878315806388855, 0.8620085716247559, 0.8751856088638306, 0.8853841423988342, 0.902065634727478, 0.8568030595779419, 0.8322239518165588, 0.858832597732544, 0.8640458583831787, 0.8617436289787292, 0.8666413426399231, 0.8624746799468994 ]
[ 0.8926517963409424, 0.868733286857605, 0.8621176481246948, 0.8118613362312317, 0.8587998151779175, 0.8842462301254272, 0.8416513204574585, 0.8746610283851624, 0.8690140247344971, 0.819073498249054, 0.8411386609077454, 0.848658561706543, 0.8599109053611755, 0.8612067103385925, 0.8467427492141724, 0.8950948715209961, 0.8844089508056641, 0.866899311542511, 0.8656154274940491, 0.853679895401001, 0.8589954376220703, 0.8829504251480103, 0.8921234011650085, 0.8286150693893433, 0.8352522253990173, 0.8581727147102356, 0.8457578420639038, 0.8470489382743835, 0.8386723399162292, 0.842710554599762 ]
[ 0.8821192979812622, 0.8131000995635986, 0.6707432866096497, 0.6560308933258057, 0.6789398193359375, 0.8175899982452393, 0.6535924077033997, 0.7424519062042236, 0.7188807129859924, 0.661041259765625, 0.7308961153030396, 0.7775317430496216, 0.7763217687606812, 0.7497658133506775, 0.626943826675415, 0.8087366819381714, 0.7873731851577759, 0.7268494367599487, 0.7121387720108032, 0.7588953971862793, 0.6940218210220337, 0.7985386848449707, 0.7632511258125305, 0.5901551246643066, 0.6466982364654541, 0.7504222989082336, 0.6897550821304321, 0.6392620801925659, 0.7549313306808472, 0.6724419593811035 ]
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Asynchronous data through Bloomberg's new data API (COM v3) with Python?
[ "Bloomberg Server API and Ruby/Python", "external asynchronous method inside asynchronous method", "Python 2.7 with Bloomberg API import blpapi failure", "Bloomberg Intraday Historical Speed Up", "What is asynchronous I/O in python?", "Python SFTP Bloomberg Data License - Paramiko", "Bloomberg Desktop Api v3 Python 2.7 add historical data to a list", "Bloomberg API, pybbg", "A very simple asynchronous application in python", "Is there any way to make an asynchronous function call from Python [Django]?", "Bloomberg DDE Error when called from Python", "windows python Python v3.2.2 text file read no error nor output", "How to make a library asynchronous in python", "Why Won't Google API V3 Return Children?", "Python Bloomberg API not connecting from ipython notebook", "Pandas wrapper for Bloomberg api?", "Bloomberg Api for Python: Parts of result missing in response", "How to log in as different user to Google API v3?", "Python v3 Logging", "Asynchronous Function Call", "Calling an existing DDE from Python (Bloomberg data provider)", "How to access a multilevel Pandas Dataframe in Python - Storing Bloomberg data in dataframe", "Python Bloomberg API ( 'DLL load failed' )", "Accessing Bloomberg's API through Excel vs. Python / Java / other programming languages", "How do I make this Python function asynchronous?", "Bloomberg API /blp/refdata: stockinfo", "Using the Bloomberg API for Python, how do you get the historical AUM for a fund's ticker?", "Create simple asynchronous server", "Asynchronous Python Classes", "Asynchronous method call in Python?" ]
[ 0.9037754535675049, 0.8259850740432739, 0.885535717010498, 0.8572276830673218, 0.8680099248886108, 0.8638432025909424, 0.8974239826202393, 0.897615909576416, 0.8827172517776489, 0.8841143250465393, 0.8744502663612366, 0.8420847654342651, 0.8758376240730286, 0.8487879037857056, 0.8882585763931274, 0.9058541059494019, 0.8795804381370544, 0.8476699590682983, 0.8516128063201904, 0.844416618347168, 0.8968560695648193, 0.8831764459609985, 0.8947664499282837, 0.9124761819839478, 0.8920125961303711, 0.8677077293395996, 0.8909500241279602, 0.8404101729393005, 0.8696571588516235, 0.8988713026046753 ]
[ 0.9019876718521118, 0.8512963056564331, 0.8774194121360779, 0.8601665496826172, 0.8740785121917725, 0.8676074743270874, 0.8805415630340576, 0.8941247463226318, 0.8862899541854858, 0.8861259818077087, 0.8756208419799805, 0.8366472125053406, 0.8777211904525757, 0.8460503220558167, 0.8784118890762329, 0.9000264406204224, 0.8800197839736938, 0.8350061774253845, 0.8486026525497437, 0.862612783908844, 0.8823582530021667, 0.8625633716583252, 0.8842901587486267, 0.9047514796257019, 0.8893353939056396, 0.8698697686195374, 0.8879415988922119, 0.8522975444793701, 0.8711112141609192, 0.8953977823257446 ]
[ 0.9074817895889282, 0.8351523876190186, 0.8877190351486206, 0.8368207216262817, 0.8784767389297485, 0.8646548390388489, 0.8797844648361206, 0.8972945213317871, 0.8755545616149902, 0.8805222511291504, 0.8877675533294678, 0.8274694681167603, 0.8758112192153931, 0.8425148129463196, 0.8910102248191833, 0.9036259651184082, 0.8892435431480408, 0.8414787650108337, 0.8467440605163574, 0.8481660485267639, 0.8880517482757568, 0.8892043828964233, 0.897723913192749, 0.9005056619644165, 0.884863018989563, 0.863334059715271, 0.8942232728004456, 0.8422168493270874, 0.8632211685180664, 0.8851488828659058 ]
[ 0.7790993452072144, 0.6160570979118347, 0.7024877667427063, 0.6318434476852417, 0.6414824724197388, 0.7178030014038086, 0.7753153443336487, 0.7465920448303223, 0.6994321346282959, 0.6952208280563354, 0.7505648732185364, 0.4859018921852112, 0.6628836989402771, 0.5628069043159485, 0.7525838613510132, 0.7903237342834473, 0.755486249923706, 0.5072487592697144, 0.5117218494415283, 0.6254041790962219, 0.7739146947860718, 0.6826680898666382, 0.7857327461242676, 0.8179527521133423, 0.6726084351539612, 0.7186629176139832, 0.697780966758728, 0.6232205629348755, 0.6483436822891235, 0.6727041006088257 ]
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Python 3.4 multiprocessing Queue faster than Pipe, unexpected
[ "Multiprocessing - Pipe vs Queue", "Python multiprocessing and multiprocessing.Queue", "Broken pipe error with multiprocessing.Queue", "multiprocessing.Queue and Queue.Queue are different?", "Python os.pipe vs multiprocessing.Pipe", "In Multiprocessing, why is 1 process faster than multiple when accessing this Queue?", "When does multiprocessing's queue.get() return DONE?", "count how many element have been processed by multiprocessing.Queue by subclass multiprocessing.Queue", "Multiprocessing Queue in Python", "Implementation of multiprocessing.Queue and queue.Queue", "working example of multiprocessing.Queue", "Multiprocessing Pipe send() blocks", "Python Multiprocessing queue", "multiprocessing.Queue : Broken pipe error", "How to clear a multiprocessing queue in python", "Python multiprocessing queue is empty", "Python Multiprocessing using Queue to write to same file", "Python - multiprocessing unexpected results", "Is this the right way to use multiprocessing queue with python?", "How to use multiprocessing queue in Python?", "Multiprocessing and Queue with Dataframe", "Python Multiprocessing Queue file descriptor", "Return value from multiprocessing.Queue() in multiprocessing Python", "Python multiprocessing with an updating queue and an output queue", "python multiprocessing accessing data from multiprocessing queue not reading all data", "python multiprocessing queue error", "Why write to a file is faster than mutiprocessing.Pipe?", "Can I use Python multiprocessing to get this to run faster on windows", "Python multiprocessing queue get and put", "Why can I not catch a Queue.Empty exception from a multiprocessing Queue?" ]
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[ 0.8804957866668701, 0.7736232280731201, 0.816307544708252, 0.8224023580551147, 0.8045178651809692, 0.8536943197250366, 0.755638062953949, 0.7330672740936279, 0.7918968796730042, 0.7568238973617554, 0.7560906410217285, 0.779655933380127, 0.7905615568161011, 0.8214892148971558, 0.7260026931762695, 0.7640373110771179, 0.7486104965209961, 0.7767128348350525, 0.780509352684021, 0.7751502990722656, 0.7210588455200195, 0.7568670511245728, 0.7128204107284546, 0.758908212184906, 0.751742959022522, 0.7761050462722778, 0.7315000295639038, 0.7397522330284119, 0.7425901293754578, 0.7386945486068726 ]
[ 0.877467930316925, 0.764561653137207, 0.8040856719017029, 0.7839663028717041, 0.7751544117927551, 0.8324663639068604, 0.7316215634346008, 0.7048726081848145, 0.7907459735870361, 0.7374297380447388, 0.7381071448326111, 0.7205254435539246, 0.7929471731185913, 0.8019481897354126, 0.6919787526130676, 0.7492295503616333, 0.7157260179519653, 0.7575896978378296, 0.764123260974884, 0.762825071811676, 0.69777512550354, 0.7310224175453186, 0.7097159624099731, 0.7338712215423584, 0.7266857624053955, 0.7573543787002563, 0.6934784650802612, 0.6914727687835693, 0.7006872892379761, 0.6914278268814087 ]
[ 0.8726613521575928, 0.7440676689147949, 0.803496241569519, 0.8057292699813843, 0.794006884098053, 0.8358696699142456, 0.7389951944351196, 0.7137702703475952, 0.7593328952789307, 0.7371830940246582, 0.73681640625, 0.7675697803497314, 0.7581864595413208, 0.8059093952178955, 0.7088373899459839, 0.7465198040008545, 0.72414231300354, 0.7461215257644653, 0.7672849297523499, 0.759143590927124, 0.7075591683387756, 0.7357665300369263, 0.7014212608337402, 0.7283516526222229, 0.7283916473388672, 0.7448940277099609, 0.7569925785064697, 0.7358088493347168, 0.7189072966575623, 0.7362910509109497 ]
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How to convert comma-delimited string to list in Python?
[ "How do I create a python list with unique indexes from a comma delimited string with duplicate values?", "Splitting multiple pipe delimited values in multiple columns of a comma delimited CSV and mapping them to each other", "Format array strings to a comma delimited file", "Python: comma-delimited list from a list of sets", "Python regex to capture a comma-delimited list of items", "How do I split delimited strings in a list when not all items are delimited in Python 3?", "split list by delimited in python", "How to sort items in a list by a comma delimited number and remove the number afterwards in Python", "Python - delimited list from file", "Trying to convert comma delimited to pipe and get \"Label not contained in axis error\"", "Python, print delimited list", "How to output a comma delimited list in jinja python template?", "How to change tab delimited in to comma delimited in pandas", "Convert list of lists to delimited string", "How can i parse a comma delimited string into a list (caveat)?", "Search a delimited string in a file - Python", "Python split string that have two delimited", "How to split comma delimited values into multiple rows using Python", "Convert the delimited data in a string to values in a single column", "re.findall - Getting a list of items from a comma delimited string", "Comma delimited string or list to variables in Python 2", "How would you create a comma-delimited string from a pyodbc result row?", "Splitting comma delimited strings in python", "How do i get a comma delimited output using the print function in python", "Replace some string with delimited text", "Convert fixed-width, non-delimited float strings to comma separated values", "reading a comma-delimited file with a date object and a float with Python", "Parse online comma delimited text file in Python 3.5", "python How to split irreguarly delimited file?", "How to split comma delimited data and create a list from the data in python?" ]
[ 0.9287819266319275, 0.8702563047409058, 0.8978824615478516, 0.9036621451377869, 0.9346936941146851, 0.9100112915039062, 0.9068014025688171, 0.9146848320960999, 0.9047433137893677, 0.8655233979225159, 0.8934164047241211, 0.9354138970375061, 0.9058567881584167, 0.9286024570465088, 0.9287196397781372, 0.8933106660842896, 0.8859480619430542, 0.9180108308792114, 0.8922328352928162, 0.8936194181442261, 0.9310835599899292, 0.9264057278633118, 0.9345078468322754, 0.9233273267745972, 0.8721888065338135, 0.879934549331665, 0.8780071139335632, 0.898796796798706, 0.8827835917472839, 0.9511679410934448 ]
[ 0.9223914742469788, 0.8540351986885071, 0.8955355286598206, 0.8902163505554199, 0.9184435606002808, 0.9128729104995728, 0.9153072834014893, 0.9181638956069946, 0.9001227617263794, 0.8647469282150269, 0.8997130393981934, 0.9192148447036743, 0.8991171717643738, 0.9276604652404785, 0.9266263246536255, 0.8855004906654358, 0.8804981708526611, 0.9157454967498779, 0.8760480880737305, 0.8885433673858643, 0.9230262041091919, 0.9124599695205688, 0.9333279132843018, 0.9230673313140869, 0.8651003837585449, 0.8785874843597412, 0.8792340755462646, 0.8939132690429688, 0.8754642605781555, 0.9528409242630005 ]
[ 0.9211647510528564, 0.8589956164360046, 0.8743587732315063, 0.8944739103317261, 0.9041659832000732, 0.9188148379325867, 0.9021993279457092, 0.9084734916687012, 0.894627571105957, 0.8682220578193665, 0.8855733871459961, 0.9154931306838989, 0.8952193260192871, 0.9226912260055542, 0.9285154342651367, 0.8684042692184448, 0.8703966736793518, 0.9148277044296265, 0.8867088556289673, 0.8879121541976929, 0.9167336225509644, 0.91168212890625, 0.9122360348701477, 0.9065717458724976, 0.8591766357421875, 0.8830559849739075, 0.8771013617515564, 0.8724399209022522, 0.8747764229774475, 0.9532431364059448 ]
[ 0.8424554467201233, 0.6919511556625366, 0.7254501581192017, 0.7951089143753052, 0.8120211362838745, 0.803507924079895, 0.7896156907081604, 0.738927960395813, 0.7687815427780151, 0.657397985458374, 0.7632785439491272, 0.7347714304924011, 0.6536121368408203, 0.7225200533866882, 0.9298267960548401, 0.6911871433258057, 0.7277297377586365, 0.7749950885772705, 0.7400820255279541, 0.8507804870605469, 0.812240719795227, 0.6991614103317261, 0.8350291848182678, 0.7364607453346252, 0.7026910781860352, 0.704302191734314, 0.6665525436401367, 0.7360547780990601, 0.6603429317474365, 0.8757443428039551 ]
[ 0.8006770610809326, 0.6128056049346924, 0.6410849094390869, 0.7311500906944275, 0.7449389696121216, 0.7500490546226501, 0.7321131229400635, 0.6572133302688599, 0.7115429639816284, 0.5634838342666626, 0.7126235961914062, 0.6638720035552979, 0.5648180246353149, 0.6494165658950806, 0.9107370376586914, 0.6172643899917603, 0.6689400672912598, 0.7095301151275635, 0.6603054404258728, 0.7858422994613647, 0.7792696952819824, 0.6028003692626953, 0.7941184043884277, 0.660740852355957, 0.6236859560012817, 0.6314452886581421, 0.5521875619888306, 0.6437768936157227, 0.5626415014266968, 0.8437955379486084 ]
[ 0.8346299529075623, 0.695931077003479, 0.7403964996337891, 0.79615318775177, 0.8120169639587402, 0.792786717414856, 0.7793213129043579, 0.742282509803772, 0.7706826329231262, 0.6816144585609436, 0.7661960124969482, 0.7514175176620483, 0.6683353185653687, 0.7260842323303223, 0.9270646572113037, 0.7015061974525452, 0.7137102484703064, 0.7715633511543274, 0.7412270307540894, 0.8509026169776917, 0.8188111186027527, 0.7134503126144409, 0.8332274556159973, 0.7500752210617065, 0.6959917545318604, 0.713550865650177, 0.6700197458267212, 0.7328925132751465, 0.6668897867202759, 0.875114917755127 ]
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Python: try-except as an Expression?
[ "Python: try-except Expression always get the default value when I try to apply it on http request", "Try-except error in Python", "python try-except", "Find expression in python", "Why do we use try, except in Python", "Python one-line \"for\" expression", "python 3 try-except all with error", "about the return expression", "How to add a variable into my re.compile expression", "Python try except", "python list expression", "python try except 0", "What is an expression in Python?", "Python: for loop expression", "How does the following Python expression work?", "python Time a try except", "How do I use __class__ in an expression?", "Code for this expression in python", "use of try and except in python", "Python-list expression output", "what about the python expression's princple", "Is a function call an expression in python?", "multiple and/or in an expression", "Python Try / Except", "python expression", "error with try-except method in python", "function call and *expression", "Can't get try and except to work in Python", "Python try/except", "Can you return the value of an expression in python, like in C++? or not" ]
[ 0.910572350025177, 0.934194803237915, 0.929956316947937, 0.8984103798866272, 0.912737250328064, 0.8786876797676086, 0.9078282117843628, 0.8626894950866699, 0.8287340402603149, 0.9253596067428589, 0.8720468282699585, 0.9033637046813965, 0.9152587056159973, 0.9043208360671997, 0.9016932249069214, 0.9014984965324402, 0.8655266761779785, 0.8754302263259888, 0.9190908670425415, 0.8753283023834229, 0.8920141458511353, 0.8983217477798462, 0.837438702583313, 0.9263730049133301, 0.9033175706863403, 0.9151891469955444, 0.8611806631088257, 0.9008792638778687, 0.933313250541687, 0.8923008441925049 ]
[ 0.9224480986595154, 0.9317320585250854, 0.9199011325836182, 0.8746062517166138, 0.901640772819519, 0.8762361407279968, 0.9033781290054321, 0.8375253677368164, 0.8342127799987793, 0.9075502753257751, 0.8605586290359497, 0.8992618322372437, 0.8827455639839172, 0.8791829943656921, 0.8791046142578125, 0.9037642478942871, 0.8707234859466553, 0.8740180730819702, 0.9085779786109924, 0.8626686334609985, 0.8731532096862793, 0.8748855590820312, 0.8223687410354614, 0.9180569648742676, 0.8782023191452026, 0.9237183332443237, 0.8279050588607788, 0.9003036618232727, 0.9316819906234741, 0.8731536269187927 ]
[ 0.8962122201919556, 0.9208599328994751, 0.9125534296035767, 0.8796234130859375, 0.8719489574432373, 0.8671598434448242, 0.893129825592041, 0.8468436002731323, 0.8384174108505249, 0.8968726992607117, 0.8696777820587158, 0.8781678676605225, 0.8918865919113159, 0.8996813297271729, 0.8878018260002136, 0.8865252733230591, 0.8730137348175049, 0.8673678636550903, 0.8880881071090698, 0.8694395422935486, 0.8809380531311035, 0.8822401762008667, 0.8283964395523071, 0.9151368141174316, 0.8788527250289917, 0.8929184675216675, 0.8566790819168091, 0.8725303411483765, 0.9132663011550903, 0.8798538446426392 ]
[ 0.8319383859634399, 0.8534078001976013, 0.8759073615074158, 0.7130600214004517, 0.7892446517944336, 0.674864649772644, 0.7987326383590698, 0.6542036533355713, 0.605467677116394, 0.8697099089622498, 0.6428220272064209, 0.7837703227996826, 0.7099756002426147, 0.6768298149108887, 0.6883325576782227, 0.7986936569213867, 0.6580168008804321, 0.6972485780715942, 0.826736330986023, 0.6377505660057068, 0.6798441410064697, 0.7062361240386963, 0.6548519730567932, 0.8499050140380859, 0.7185019254684448, 0.8373631238937378, 0.6383856534957886, 0.8255913853645325, 0.849905252456665, 0.69517982006073 ]
[ 0.8037489652633667, 0.8279430270195007, 0.874708354473114, 0.6406927108764648, 0.7913909554481506, 0.5738035440444946, 0.7552931904792786, 0.5231170654296875, 0.4544020891189575, 0.8602010607719421, 0.5567786693572998, 0.7358849048614502, 0.6498488187789917, 0.5723092555999756, 0.6267704963684082, 0.7749843597412109, 0.5250066518783569, 0.6186330914497375, 0.8093606233596802, 0.5248806476593018, 0.619196355342865, 0.6115895509719849, 0.534538209438324, 0.8410043716430664, 0.6588119268417358, 0.8106794357299805, 0.5143797993659973, 0.8031970262527466, 0.8410042524337769, 0.6070699095726013 ]
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Is python-markdown safe on untrusted input?
[ "Markdown in Django XSS safe", "how to pass class attribute and value to markdown syntax", "I need to run untrusted server-side code in a web app - what are my options?", "Is is safe to parse the Abstract Syntax Trees of untrusted code?", "Python markdown edge case: /* */", "Pass markdown from file to template in Django view", "Untrusted templates in Python - what is a safe library to use?", "python markdown which version has a mark method", "How can I use a list-like type to generate a markdown with string.Template python?", "Running Python code in Markdown", "How to create a new markdown cue extending another one using python-markdown", "Markdown previewer", "Python alternative to R Markdown", "Save markdown content in simplemde", "not getting expected result from python markdown", "What builtin functions shouldn't be run by untrusted users?", "how to replace markdown tags into html by python?", "How to use python markdown to process a file that is read in?", "Markdown with custom syntax?", "Python Requests untrusted certificate", "Selenium FireFox 'This Connection is Untrusted'", "Generate permalinks on header with python markdown library", "How can I get a list of image URLs from a Markdown file in Python?", "How to have python code and markdown in one cell", "limit Markdown in Django", "Display text without markdown syntax in Django", "How do I implement markdown in Django 1.6 app?", "Check image urls using python-markdown", "Markdown: Is there a way to specify raw text in markdown?", "Security of Python's eval() on untrusted strings?" ]
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[ 0.7925410270690918, 0.6120671629905701, 0.6345848441123962, 0.6565377116203308, 0.5992223024368286, 0.5957806706428528, 0.7185714244842529, 0.6781675219535828, 0.620780348777771, 0.7011657357215881, 0.6088390350341797, 0.6008384227752686, 0.6855368614196777, 0.6147500276565552, 0.6888853311538696, 0.6305164098739624, 0.6767905354499817, 0.6723349690437317, 0.6671123504638672, 0.5872239470481873, 0.4883492588996887, 0.6213440895080566, 0.5833781361579895, 0.6263035535812378, 0.6118996143341064, 0.648725688457489, 0.633331298828125, 0.6308274269104004, 0.7020772099494934, 0.7415626049041748 ]
[ 0.8226170539855957, 0.6817837953567505, 0.7302747368812561, 0.7431102991104126, 0.6775935888290405, 0.6663933992385864, 0.7768334746360779, 0.7010850310325623, 0.6894078254699707, 0.7269174456596375, 0.6570144295692444, 0.6480028629302979, 0.720867395401001, 0.6730425357818604, 0.7344681024551392, 0.7148336172103882, 0.7157770991325378, 0.7321673631668091, 0.723931074142456, 0.6447198390960693, 0.5908026695251465, 0.681105375289917, 0.6703832149505615, 0.6601356267929077, 0.6783840656280518, 0.7037657499313354, 0.6968620419502258, 0.7062808275222778, 0.7615693807601929, 0.7934946417808533 ]
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call functions from a shared fortran library in python
[ "Call fortran function from Python with ctypes", "Using python-ctypes to interface fortran with python", "Reading default output of Fortran in Python", "Call Python function from Fortran/C", "Read FORTRAN formatted numbers with Python", "How do I read Fortran output into Python?", "Fortran sources but no Fortran compiler found", "Write Fortran-like format to file in Python", "Cython, C and Fortran", "simple reading of fortran binary data not so simple in python", "Passing Arrays from Python to Fortran (and back)", "Proper way to read/write fortran order array with numpy", "when using f2py, function scope within fortran module different than when compiled for fortran program?", "I want Python as front end, Fortran as back end. I also want to make fortran part parallel - best strategy?", "comparing python with c/fortran", "Python Read Fortran Binary File", "Is it possible to read Fortran formatted data in Python?", "How to compile Python scripts for use in FORTRAN?", "Want to check this script I wrote to read a Fortran binary file", "Python Subprocess: Fortran runtime error: End of file", "Is fortran-like print in python possible?", "Can't get fortran function output from ctypes", "Can't seem to get fortran executable to run correctly through python", "Read Fortran complex number into Python", "Fortran error when trying to install scipy", "Fortran equivalent of python numpy.minimum", "Equivalent of numpy.dot (python) in Fortran", "How do I get setup.py test to use a specific fortran compiler?", "Importing fortran files to python", "How to make an equivalent to Fortran's 'access=stream' in python" ]
[ 0.9446908235549927, 0.9101160168647766, 0.8890288472175598, 0.934023380279541, 0.8961164951324463, 0.8840295076370239, 0.8688050508499146, 0.8895032405853271, 0.8474457263946533, 0.8800303936004639, 0.8818367719650269, 0.8814488649368286, 0.8810059428215027, 0.8535218238830566, 0.8986001014709473, 0.8757359981536865, 0.8711051940917969, 0.9006882905960083, 0.8617979288101196, 0.8716984391212463, 0.8785887956619263, 0.8845193386077881, 0.8849707841873169, 0.8942309617996216, 0.8620285391807556, 0.8800022006034851, 0.8906252384185791, 0.8784224987030029, 0.9128610491752625, 0.8860543370246887 ]
[ 0.9440557956695557, 0.9146168231964111, 0.8822916150093079, 0.9283854365348816, 0.8778665065765381, 0.8677385449409485, 0.8463798761367798, 0.8747767210006714, 0.86195307970047, 0.8920223712921143, 0.8858314752578735, 0.8779259920120239, 0.8707577586174011, 0.8527734279632568, 0.8762346506118774, 0.8698506355285645, 0.8476475477218628, 0.8804534673690796, 0.8579673767089844, 0.8506695032119751, 0.8859130144119263, 0.8782816529273987, 0.8760892152786255, 0.8781540393829346, 0.8518261909484863, 0.8755312561988831, 0.8727945685386658, 0.8752940893173218, 0.9240870475769043, 0.8694123029708862 ]
[ 0.9359383583068848, 0.9035635590553284, 0.8834940195083618, 0.9232090711593628, 0.885102391242981, 0.8754836916923523, 0.8517916202545166, 0.891568660736084, 0.8541082143783569, 0.8899704813957214, 0.889242947101593, 0.869114339351654, 0.8642654418945312, 0.8561071753501892, 0.8679547309875488, 0.8801486492156982, 0.8724137544631958, 0.8825536370277405, 0.8498019576072693, 0.8516057729721069, 0.8854921460151672, 0.871514081954956, 0.879475474357605, 0.8785101175308228, 0.8537447452545166, 0.8514871597290039, 0.8454906344413757, 0.8619353175163269, 0.9059662818908691, 0.8728606700897217 ]
[ 0.8804641962051392, 0.830274224281311, 0.7493094801902771, 0.8863260746002197, 0.7355799674987793, 0.7977548241615295, 0.7458570003509521, 0.7159312963485718, 0.7610359191894531, 0.7125657796859741, 0.8006077408790588, 0.6811643838882446, 0.7622552514076233, 0.717937707901001, 0.7797650098800659, 0.7609341144561768, 0.7525415420532227, 0.8190208673477173, 0.696062445640564, 0.7272143363952637, 0.751019299030304, 0.808474063873291, 0.8021863698959351, 0.7201783061027527, 0.7182472944259644, 0.6981213688850403, 0.7242153882980347, 0.7393923997879028, 0.8225330114364624, 0.7372198104858398 ]
[ 0.8522722721099854, 0.8011384010314941, 0.711551308631897, 0.8594339489936829, 0.7045678496360779, 0.7694835662841797, 0.700100302696228, 0.6590144634246826, 0.7031307220458984, 0.6936424970626831, 0.7620086073875427, 0.6100399494171143, 0.7152061462402344, 0.7005975246429443, 0.7545915842056274, 0.7326074838638306, 0.7269529700279236, 0.789574384689331, 0.6409661769866943, 0.6713197827339172, 0.7221537232398987, 0.7616958022117615, 0.766304612159729, 0.678911566734314, 0.6830189228057861, 0.6428854465484619, 0.6668035984039307, 0.6897932291030884, 0.7995278835296631, 0.6949855089187622 ]
[ 0.8686896562576294, 0.8160169720649719, 0.7405830025672913, 0.8706244230270386, 0.7303999662399292, 0.7926008701324463, 0.7400305867195129, 0.7142513990402222, 0.7539006471633911, 0.7154053449630737, 0.7970815896987915, 0.6842041015625, 0.7443206310272217, 0.6953884363174438, 0.7685011029243469, 0.7461398243904114, 0.7542101144790649, 0.8058739304542542, 0.6809031367301941, 0.717119574546814, 0.7589991092681885, 0.7943819761276245, 0.7817044258117676, 0.7130283713340759, 0.7035573720932007, 0.6979562640190125, 0.7247413992881775, 0.7304049730300903, 0.8138720989227295, 0.7453347444534302 ]
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Best way to find the months between two dates
[ "How to get all the months during a two dates", "Python Find # of Months Between 2 Dates", "get lastweek dates using python?", "Python: get all months in range?", "Stepping dates with timedelta in months for Python", "pandas filter dates to last most recent 3 months", "Can I color different months?", "How do you add \"3 months\" to a datetime.date object in python?", "Get the difference between dates in the form of list years and months", "How to find all the dates within last 6 months using Python ?", "Add months to a date in Pandas", "Number of particular months/weekdays between two dates", "How to get values between two dates", "Finding dates between two dates", "List of months in Django", "Is there a consistent way to enumerate days/weeks/months between two dates?", "loop through python months since start time", "calculate the difference between two datetime.date() dates in years and months", "how to import dates in python", "How to list next 24 months' start dates with python?", "How to convert dates with alphabetic months to timestamp", "Print all day-dates between two dates", "Return data between two dates", "Pandas group by number of months between number of months", "how to get first and last dates of past four months in python", "How to display all the months between given two dates?", "Return specific dates, months from any year using python date time", "How to shift dates in a pandas dataframe (add x months)?", "Building a list of months by iterating between two dates in a list (Python)", "Pandas: Add data for missing months" ]
[ 0.9444504976272583, 0.917269766330719, 0.8560503721237183, 0.8551430702209473, 0.8844356536865234, 0.8640934228897095, 0.8516168594360352, 0.846790611743927, 0.9095807075500488, 0.8885732889175415, 0.8915842771530151, 0.9203026294708252, 0.9378901720046997, 0.9422518610954285, 0.8505576848983765, 0.9048588275909424, 0.868438184261322, 0.9035429954528809, 0.8612399101257324, 0.8787837028503418, 0.8902458548545837, 0.9043326377868652, 0.9125685691833496, 0.8869963884353638, 0.8902010321617126, 0.9280470609664917, 0.8794559836387634, 0.8510122299194336, 0.9080573320388794, 0.8661835193634033 ]
[ 0.9279659986495972, 0.9286245107650757, 0.8238497972488403, 0.8623035550117493, 0.8617794513702393, 0.8482431173324585, 0.846060037612915, 0.8197900056838989, 0.8981046676635742, 0.87807697057724, 0.859532356262207, 0.8970798254013062, 0.9354575872421265, 0.937149167060852, 0.8336530923843384, 0.8879256248474121, 0.8516911864280701, 0.887201189994812, 0.8255065679550171, 0.8621225357055664, 0.8764669895172119, 0.8986507654190063, 0.9043341875076294, 0.8772544860839844, 0.8643878698348999, 0.929760217666626, 0.8583106994628906, 0.8459543585777283, 0.8938901424407959, 0.8562771081924438 ]
[ 0.9274227619171143, 0.9152069091796875, 0.7968854904174805, 0.8420078754425049, 0.8552048206329346, 0.8346611261367798, 0.8316290378570557, 0.8123372793197632, 0.9022743701934814, 0.8644299507141113, 0.8545771241188049, 0.8944810032844543, 0.927054226398468, 0.9251779913902283, 0.8263532519340515, 0.8776640295982361, 0.8458399176597595, 0.885059118270874, 0.8277286291122437, 0.8363450765609741, 0.8786169290542603, 0.8917181491851807, 0.8718772530555725, 0.8881820440292358, 0.8644182682037354, 0.9035350680351257, 0.846421480178833, 0.8324946761131287, 0.8978579640388489, 0.8400278091430664 ]
[ 0.8671168088912964, 0.8665921092033386, 0.61089026927948, 0.7890985608100891, 0.7604366540908813, 0.668749213218689, 0.6443155407905579, 0.7011227607727051, 0.8092671632766724, 0.7545783519744873, 0.7474279403686523, 0.8169772624969482, 0.7798003554344177, 0.816312313079834, 0.7383040189743042, 0.8197203278541565, 0.7398800849914551, 0.7521651983261108, 0.6292604207992554, 0.7487658262252808, 0.7563108205795288, 0.6642209887504578, 0.7352087497711182, 0.7069731950759888, 0.7688323259353638, 0.885291337966919, 0.7414566278457642, 0.6925883889198303, 0.7854039669036865, 0.6784797310829163 ]
[ 0.8410815000534058, 0.8374348878860474, 0.5063632726669312, 0.7418407201766968, 0.6952677965164185, 0.5950520038604736, 0.5807303190231323, 0.6129512190818787, 0.756801962852478, 0.6852498054504395, 0.682580828666687, 0.750930905342102, 0.7284076809883118, 0.7956112623214722, 0.6759328842163086, 0.7426517009735107, 0.7007815837860107, 0.6900255084037781, 0.523210346698761, 0.6725599765777588, 0.6675347685813904, 0.5783151388168335, 0.679681658744812, 0.6708741188049316, 0.7104261517524719, 0.8627729415893555, 0.6551743745803833, 0.6265901327133179, 0.7425457239151001, 0.6246816515922546 ]
[ 0.8619874119758606, 0.8695011734962463, 0.6171050071716309, 0.7875427007675171, 0.74798184633255, 0.6681007146835327, 0.6717098355293274, 0.7011233568191528, 0.8023324012756348, 0.7592301368713379, 0.7523634433746338, 0.8110334873199463, 0.7822346687316895, 0.8227998614311218, 0.7395698428153992, 0.8219852447509766, 0.7404406070709229, 0.746086597442627, 0.640921950340271, 0.7395877838134766, 0.7452220916748047, 0.6740840673446655, 0.740256667137146, 0.7143099308013916, 0.7605671286582947, 0.8817435503005981, 0.7330706119537354, 0.7001172304153442, 0.7801820635795593, 0.6861696839332581 ]
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python bug with __le__, __ge__?
[ "Why are (lt, gt) and (le, ge) reflections instead of (lt, ge) and (le, gt)?", "Python string replace for UTF-16-LE file", "Writing to UTF-16-LE text file with BOM", "python total_ordering : why __lt__ and __eq__ instead of __le__?", "Possible bug in python re", "python program bug help", "Python statement bug If or and", "Is this a Python 3 bug on str.format?", "How to use .le() and .ge() when filtering pandas data frame columns?", "Possible bug in Series.interpolate", "Matching lines of text in a UTF16-LE file", "Python List Bug in a for loop", "utf-16-le BOM csv files", "How do I ge tthe number of likes on a tweet via tweepy?", "Python operator overriding: __ge__ result is not as expected", "Python: Convert Integer to UTF16-LE", "Python Syntax Error or Bug?", "Try except bug check", "Python error check bug?", "Python bug with empty list", "Pandas: read csv file with UCS-2 LE coding", "Python - Bug in code", "Bug in Python's documentation?", "Is this a bug in Python 2.7?", "Is this a bug in python 2 functions?", "Bug in python thread", "Is this a bug in Python regex?", "Bool object is not callable in python connect for game ( is in the return line of def isWinner(bo, le):)", "None Python error/bug?", "Is this a python 3 file bug?" ]
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[ 0.8613264560699463, 0.8565589785575867, 0.8402457237243652, 0.8924136161804199, 0.9108594059944153, 0.9063429832458496, 0.8963669538497925, 0.9002887010574341, 0.8770662546157837, 0.8614583015441895, 0.8396366834640503, 0.8948801755905151, 0.8391375541687012, 0.8165618181228638, 0.8942935466766357, 0.8490965962409973, 0.8965417146682739, 0.8420276641845703, 0.90131676197052, 0.9026883840560913, 0.8326864838600159, 0.898625373840332, 0.9126660823822021, 0.885552167892456, 0.894339382648468, 0.9044337868690491, 0.9078823924064636, 0.8238855004310608, 0.8578571081161499, 0.9045275449752808 ]
[ 0.8546151518821716, 0.8422812223434448, 0.8186138272285461, 0.8913849592208862, 0.8957152366638184, 0.8764352202415466, 0.8679446578025818, 0.8917210102081299, 0.8809108138084412, 0.844077467918396, 0.8284926414489746, 0.8860555291175842, 0.8174216747283936, 0.8039644956588745, 0.889877438545227, 0.851750373840332, 0.9050747156143188, 0.8497762680053711, 0.8958033323287964, 0.8698716163635254, 0.8222146034240723, 0.8864362835884094, 0.8962953090667725, 0.8941754698753357, 0.8949350714683533, 0.8800797462463379, 0.8985639810562134, 0.8459802865982056, 0.8774493932723999, 0.8919304609298706 ]
[ 0.7120764851570129, 0.660845160484314, 0.5784754157066345, 0.7106825113296509, 0.7075949907302856, 0.6347899436950684, 0.6619913578033447, 0.6619200706481934, 0.7460084557533264, 0.6054843068122864, 0.627996027469635, 0.6481510400772095, 0.6284168362617493, 0.40791743993759155, 0.7876010537147522, 0.6875753998756409, 0.6763776540756226, 0.5543723106384277, 0.6785664558410645, 0.6466768383979797, 0.5530396103858948, 0.6954793930053711, 0.7230570316314697, 0.6942955255508423, 0.6472907662391663, 0.6087511777877808, 0.6942893266677856, 0.5700801610946655, 0.5925018787384033, 0.6904003620147705 ]
[ 0.6547898054122925, 0.6016511917114258, 0.47943833470344543, 0.6510883569717407, 0.6329442262649536, 0.5334877967834473, 0.550451397895813, 0.569735050201416, 0.6988492608070374, 0.4910435080528259, 0.5662335157394409, 0.5286027193069458, 0.5557262897491455, 0.3202788233757019, 0.765609085559845, 0.6372183561325073, 0.5945512056350708, 0.4366356432437897, 0.5912030935287476, 0.5350560545921326, 0.46369391679763794, 0.6167829632759094, 0.6272546052932739, 0.6147222518920898, 0.5546725392341614, 0.5227563381195068, 0.6416308879852295, 0.46699315309524536, 0.5240079164505005, 0.5909966230392456 ]
[ 0.7243819236755371, 0.6695989370346069, 0.6021921038627625, 0.7168166041374207, 0.7076468467712402, 0.6169902086257935, 0.6522164344787598, 0.6563898324966431, 0.7730734944343567, 0.6175883412361145, 0.6494020819664001, 0.641183614730835, 0.6513347625732422, 0.44296300411224365, 0.7913368940353394, 0.6984157562255859, 0.6514499187469482, 0.5665123462677002, 0.6730960607528687, 0.6445389986038208, 0.5735142230987549, 0.6675750613212585, 0.7192102670669556, 0.6892343759536743, 0.6482909917831421, 0.6177752017974854, 0.6943961977958679, 0.5862220525741577, 0.5833575129508972, 0.6835250854492188 ]
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Highlight a label in a legend, matplotlib
[ "Get Matplotlib legend location?", "Adding information to a legend with Matplotlib", "Matplotlib Legend in a Loop?", "How to modify matplotlib legend after it has been created?", "using Matplotlib how to highlight one point in the final plot", "Python legend in 3dplot", "Highlight specific line of output", "How to get legend location in matplotlib", "matplotlib legend location numbers", "Title for matplotlib legend", "Is it possible to add a string as a legend item in matplotlib", "matplotlib - wrap text in legend", "Moving the Legend in Matplotlib", "Create matplotlib legend out of the figure", "Matplotlib 1.3.0, legend line and text do not match", "Why did i get twice legend from matplotlib?", "How to view legend next to matplotlib?", "matplotlib, including more than one defined variable on legend label", "How to show ℃ in the legend of matplotlib, python?", "handle legend in matplotlib?", "Highlight certain points on a matplotlib matrix", "Table legend in matplotlib", "Legend using PathCollections in matplotlib", "How to make custom legend in matplotlib", "How to add more items to the matplotlib legend?", "how to highlight line collection in matplotlib", "Legend in matplotlib", "Change main plot legend label text", "Add a legend (like a matplotlib legend) to an image", "Text in legend for matplotlib plot" ]
[ 0.9172966480255127, 0.9337276220321655, 0.9248680472373962, 0.9051233530044556, 0.8803995847702026, 0.9085049629211426, 0.8691384792327881, 0.9148286581039429, 0.9171242117881775, 0.9230256080627441, 0.8986316919326782, 0.9220072031021118, 0.9194490909576416, 0.9296029806137085, 0.8855083584785461, 0.8948018550872803, 0.9174332618713379, 0.923759400844574, 0.8842707872390747, 0.9293935298919678, 0.9001356363296509, 0.9283499717712402, 0.9232090711593628, 0.9264203906059265, 0.9048189520835876, 0.8976337909698486, 0.9255235195159912, 0.8947021961212158, 0.9307127594947815, 0.9268056154251099 ]
[ 0.9007188081741333, 0.9278532862663269, 0.9049299359321594, 0.8872226476669312, 0.9083375930786133, 0.9083952903747559, 0.8685778379440308, 0.9174903631210327, 0.9079843759536743, 0.9105591177940369, 0.903230607509613, 0.9263785481452942, 0.912712037563324, 0.9211761951446533, 0.8881421089172363, 0.8798763155937195, 0.907545268535614, 0.912520706653595, 0.9002571105957031, 0.9136723279953003, 0.9207170009613037, 0.9237050414085388, 0.9135125279426575, 0.924115002155304, 0.8989667892456055, 0.893060564994812, 0.9262260794639587, 0.8921033143997192, 0.9249696731567383, 0.9274167418479919 ]
[ 0.880110502243042, 0.9049568176269531, 0.8754070997238159, 0.8695669174194336, 0.8949155807495117, 0.892508327960968, 0.8556827902793884, 0.8863719701766968, 0.8861016035079956, 0.8996429443359375, 0.8692735433578491, 0.9020959734916687, 0.8755308389663696, 0.9017459154129028, 0.8765074014663696, 0.8681032657623291, 0.8942874073982239, 0.9102184772491455, 0.8803765773773193, 0.912181556224823, 0.9089301824569702, 0.9146428108215332, 0.8927044868469238, 0.8925848603248596, 0.8714970350265503, 0.8850106000900269, 0.9182116985321045, 0.8678513169288635, 0.9046249389648438, 0.9078267216682434 ]
[ 0.7886555194854736, 0.8070241808891296, 0.7783492207527161, 0.7549498081207275, 0.7462396025657654, 0.752690315246582, 0.6735416054725647, 0.7877823114395142, 0.7802791595458984, 0.8183218240737915, 0.8042297959327698, 0.8237673044204712, 0.7575065493583679, 0.7816009521484375, 0.7550110816955566, 0.692939043045044, 0.7836943864822388, 0.8140982985496521, 0.7844985723495483, 0.7929869890213013, 0.7345787286758423, 0.770451545715332, 0.7318483591079712, 0.7893084287643433, 0.7615714073181152, 0.7198045253753662, 0.827457070350647, 0.8002502918243408, 0.7790981531143188, 0.8405794501304626 ]
[ 0.7369852066040039, 0.7571455836296082, 0.729878306388855, 0.7060258388519287, 0.6977057456970215, 0.6910802721977234, 0.5919865369796753, 0.7411161065101624, 0.7130077481269836, 0.77553790807724, 0.7476464509963989, 0.7755602598190308, 0.720293402671814, 0.7333851456642151, 0.6974942684173584, 0.6484693288803101, 0.7422081232070923, 0.7703542113304138, 0.7399901747703552, 0.7497923374176025, 0.6687281131744385, 0.7093427181243896, 0.6689693927764893, 0.7496210336685181, 0.6931142807006836, 0.6462278962135315, 0.7987785339355469, 0.7434648275375366, 0.7315382957458496, 0.7998195886611938 ]
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How do i create Confusion matrix of predicted and ground truth labels with Tensorflow?
[ "how to create confusion matrix for classification in tensorflow", "python tabulating confusion matrix", "sklearn plot confusion matrix with labels", "Truth value of empty set", "How can I print the Truth value of a variable?", "Plot a line between prediction and ground_truth point in matplotlib", "Create column of truth values", "python list confusion", "Python: how to save a confusion matrix", "Tensorflow convert predicted values to binary", "Python Numpy Truth Matrix for Condition", "Confusion about TensorFlow shape rank", "Tensorflow read images with labels", "tensorflow confusion matrix in Experimenter during evaluation", "Saving confusion matrix", "how to get truth value in for loop with if statement", "Understanding a tensorflow confusion matrix for binary classification", "Error in getting confusion matrix", "Get Predicted result from tensorflow", "How to use a train.csv , test.csv and ground_truth.csv in a machine learning model? (cross validation/ python)", "Resize Ground truth images, without changing the labels", "How to get predicted class labels in TensorFlow's MNIST example?", "How to print the predicted 'y' or 'output' matrix in this TensorFlow code?", "And and Or confusion", "tensorflow evaluate with confusion matrix", "Using string labels in Tensorflow", "Truth value of a string in python", "Python: How can we match values of predicted and truth values of a regression model", "How can I plot a confusion matrix?", "List Confusion in python" ]
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[ 0.9272931814193726, 0.873550534248352, 0.8751025199890137, 0.8070544004440308, 0.8436746001243591, 0.8638625144958496, 0.8382530212402344, 0.8210934400558472, 0.8714280128479004, 0.8668131828308105, 0.8555437326431274, 0.8683719635009766, 0.860680341720581, 0.887897253036499, 0.8619728088378906, 0.8244192600250244, 0.8949294090270996, 0.8692753911018372, 0.8592323064804077, 0.883539080619812, 0.8382080793380737, 0.8941667079925537, 0.8944428563117981, 0.8019211888313293, 0.909054160118103, 0.8773738741874695, 0.8188939690589905, 0.8567212820053101, 0.8890688419342041, 0.8361700773239136 ]
[ 0.9234047532081604, 0.8796159625053406, 0.8974175453186035, 0.7983672022819519, 0.8481912016868591, 0.8784704208374023, 0.8389533758163452, 0.8412439823150635, 0.8771345019340515, 0.8450955748558044, 0.8480972647666931, 0.8545161485671997, 0.8521956205368042, 0.8794803619384766, 0.8480933904647827, 0.8384168148040771, 0.867509126663208, 0.8739892244338989, 0.8576750755310059, 0.8976564407348633, 0.8391662836074829, 0.8816622495651245, 0.8827923536300659, 0.8179821968078613, 0.8900025486946106, 0.8718278408050537, 0.8202183246612549, 0.8615748286247253, 0.8983182907104492, 0.8538199663162231 ]
[ 0.8757119178771973, 0.6864081621170044, 0.782865047454834, 0.49278897047042847, 0.525446891784668, 0.663841724395752, 0.5953866243362427, 0.43836846947669983, 0.7394040822982788, 0.7243513464927673, 0.670987606048584, 0.6822583675384521, 0.7577128410339355, 0.8199867010116577, 0.7582546472549438, 0.5286722779273987, 0.8344698548316956, 0.7380455732345581, 0.7556358575820923, 0.6902103424072266, 0.6374285817146301, 0.8009157776832581, 0.7676825523376465, 0.5682024955749512, 0.8289738893508911, 0.7806729078292847, 0.5106802582740784, 0.6851924657821655, 0.7237169146537781, 0.44719794392585754 ]
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matplotlib pcolormesh creates data artifacts
[ "When to use imshow over pcolormesh?", "matplotlib pcolormesh artifact", "Correct way to set color to transparent with matplotlib.pcolormesh()?", "How to get transparency into pcolormesh in JuliaLang?", "Python matplotlib mask multiple (more than three) values using pcolormesh", "matplotlib pcolormesh grid not visible", "matplotlib pcolormesh discrete colors", "Specifying colours when using matplotlib's pcolormesh", "Pcolormesh not getting correct position matplotlib", "Interactive pixel information with pcolormesh in Python?", "Matplotlib: `pcolormesh.get_array()` returns flattened array - how to get 2D data back?", "pcolormesh with masked invalid values", "How to save a pcolormesh image from matplotlib", "Matplotlib pcolormesh, separate datacolor and color brightness information", "matplotlib plot X Y Z data from csv as pcolormesh", "Can someone explain this matplotlib pcolormesh quirk?", "Odd behaviour of pcolormesh with coordinates", "Labels on pcolormesh", "Single pcolormesh with more than one colormap using Matplotlib", "Pyplot pcolormesh confused when alpha not 1", "Python: How to add datetime to x-axis in pcolormesh", "Show z-value at mouse pointer position in status line with matplotlib's pcolormesh()", "pcolormesh is putting out a blank map?", "Matplotlib Pcolormesh - in what format should I give the data?", "pcolormesh adds empty white columns", "pcolormesh use of memory", "pcolormesh with user-defined value level", "pandas matplotlib plot has weird artifacts", "1 pixel grid lines in pcolormesh", "Getting the correct colours for pcolormesh" ]
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[ 0.8644611835479736, 0.9676575660705566, 0.8687688708305359, 0.8717473745346069, 0.9036756753921509, 0.9001275897026062, 0.9183603525161743, 0.915530800819397, 0.9030758142471313, 0.8916341066360474, 0.8801866769790649, 0.8977536559104919, 0.9127788543701172, 0.9130925536155701, 0.911771297454834, 0.8981869220733643, 0.8808623552322388, 0.8817338943481445, 0.9115774631500244, 0.8857690691947937, 0.8709226846694946, 0.8655514717102051, 0.8605584502220154, 0.897131621837616, 0.9015154242515564, 0.899660587310791, 0.8972510099411011, 0.8889414072036743, 0.8930732011795044, 0.903393030166626 ]
[ 0.858765184879303, 0.9542680382728577, 0.8709603548049927, 0.8628864288330078, 0.8983153104782104, 0.8957117199897766, 0.9214361906051636, 0.8932863473892212, 0.8999571204185486, 0.885100245475769, 0.8670749664306641, 0.8935615420341492, 0.8734549283981323, 0.915794312953949, 0.9090019464492798, 0.8926519155502319, 0.8845178484916687, 0.88582444190979, 0.8954328298568726, 0.8888818621635437, 0.8622012138366699, 0.8774614334106445, 0.8490053415298462, 0.8899861574172974, 0.8854814171791077, 0.8876200914382935, 0.8868048787117004, 0.9161251783370972, 0.8726634979248047, 0.8763940334320068 ]
[ 0.7200804948806763, 0.9642295837402344, 0.7937856912612915, 0.7321203947067261, 0.7917104959487915, 0.7595182657241821, 0.8233134746551514, 0.8236162066459656, 0.7888551950454712, 0.7984664440155029, 0.7973491549491882, 0.8102346658706665, 0.8232784867286682, 0.8169279098510742, 0.7967267632484436, 0.8573859333992004, 0.7971539497375488, 0.7014158964157104, 0.784980297088623, 0.7657456398010254, 0.7249749302864075, 0.7155748605728149, 0.7582899928092957, 0.848034143447876, 0.7577948570251465, 0.7346296906471252, 0.7582735419273376, 0.7776573896408081, 0.7353904247283936, 0.7364746332168579 ]
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Make a 2D pixel plot with matplotlib
[ "2D pixel plot with matplotlib", "How to plot 2D object in python?", "Matplotlib: want different plot for each line", "Python: x-y-plot with matplotlib", "Plot 2D array with Pandas, Matplotlib, and Numpy", "Plot or reshape 2D array matplotlib", "What is this plot called and how to make it in matplotlib?", "Why matplotlib does not plot?", "How to generate an image in python pixel by pixel?", "Create a 2D plot pixel grid based on a pandas series of lists", "What is the fastest way to plot a 2d numpy array of pixel data with pygtk?", "Trying to plot surf3d from 2d array", "How to make a progresing plot in matplotlib", "Stack of 2D plot", "3D plot with an 2D array python matplotlib", "I can't get python plot with matplotlib", "How can I get the pixel colors in matplotlib?", "Plot Time values with matplotlib", "python plot 2d numpy array", "How do I plot a 2D array graph in Python using matplotlib", "Colorplot of 2D array matplotlib", "Plot 2D Numpy Array", "How do I change each pixel", "Change a pixel value", "how to use matplotlib to plot in python?", "Matplotlib 3D plot - 2D format for input data?", "matplotlib plot in a loop", "plot 2d lines by line equation in Python using Matplotlib", "scatter plot with single pixel marker in matplotlib", "Get data from plot with matplotlib" ]
[ 0.9802876114845276, 0.9294556975364685, 0.8863673210144043, 0.906577467918396, 0.9232341647148132, 0.9234515428543091, 0.8996402025222778, 0.8952701091766357, 0.9055220484733582, 0.9141025543212891, 0.8959447145462036, 0.8826680779457092, 0.9045728445053101, 0.8990859985351562, 0.9475849866867065, 0.9008502960205078, 0.9167348742485046, 0.913411021232605, 0.9074459075927734, 0.9315669536590576, 0.9230157136917114, 0.8999760746955872, 0.8584804534912109, 0.8734866976737976, 0.9260292649269104, 0.9069709777832031, 0.8994672298431396, 0.9198914766311646, 0.8988176584243774, 0.9204817414283752 ]
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[ 0.9667599201202393, 0.8886204957962036, 0.8552324771881104, 0.8917902708053589, 0.911159873008728, 0.9028960466384888, 0.872880220413208, 0.853843092918396, 0.8582773208618164, 0.9039693474769592, 0.8714709877967834, 0.8603770732879639, 0.8749899864196777, 0.844428539276123, 0.9289505481719971, 0.8597721457481384, 0.8763635158538818, 0.8876093626022339, 0.8927321434020996, 0.9206730127334595, 0.9110146760940552, 0.8931140899658203, 0.8209729194641113, 0.8422399759292603, 0.8811886310577393, 0.8891416788101196, 0.849076509475708, 0.9166224002838135, 0.8895936012268066, 0.8869315385818481 ]
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How to portably find local IPv4 _and_ IPv6 addresses using Python's stdlib?
[ "Finding local IP addresses using Python's stdlib", "Python - parse IPv4 addresses from string (even when censored)", "regex for IPv4 matching", "ValueError: '10.0.0.0/24' does not appear to be an IPv4 or IPv6 network", "ipv6 python sockets not working", "How to portably parse the (Unicode) degree symbol with regular expressions?", "IPv6 to IPv4 on Google App Engine", "Is there a `stdlib` or `pandas` equivalent to the following simple `is_in` function?", "Converting IPv4 Address to a Hex IPv6 Address in Python", "epool with pyev or select from stdlib in Python?", "Python requests on IPv6 only server does not seem to work", "Encode two ipv4 addresses in 64 bits", "converting IPv6 string to bytes + python", "How to compare IPV6 addresses in python", "Why the connect failed for ipv6 at python?", "Python 2 and IPv6", "How do I get IPV6 address with Django?", "python convert ipv6 to an integer", "Scapy sending proto as ipv6 for a ipv4 packet", "How to run a Python script portably without specifying its full path", "Using Python's ftplib to get a directory listing, portably", "Where are Python's stdlib tests?", "How can I install pip portably on a usb drive?", "How can I decode/print an IPV6 address in python", "What should I do to import math.py that is not stdlib", "IPv6 address representation in Python", "Regex for range of IPv4 addresses", "ipv6 dns name unresolved from ipv4 network", "How can I store and search multiple IPv4 and IPv6 subnets in elasticsearch?", "database host in ipv6" ]
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py.test doesn't find module
[ "Py.test No module named *", "Python module and __all__", "re module in Python", "How can I find the function of a python module?", "Python can find a module....and then it can't", "py.test can't import my module", "Django py.test does not find settings module", "How to test if a Python object is a module?", "Python module to shellquote/unshellquote?", "How to run a .py module?", "How can I make Python find this module?", "How to use py.test from Python?", "Python: Is the module of a class a class itself?", "How to find a class or function in a Python module?", "python _2or3 module?", "Can't find module in python", "py.test and norecursedirs granuarity", "Dendropy interpop module python", "Test for 'ExceptionError' with py.test", "python : import some_module through other_module", "Why can't python find my module?", "Is there a webkit2 module for python?", "Python: one single module (file .py) for each class?", "Mosso Python Module", "Python can't find my module", "From where do I get the featx.py module?", "How do I import a py module into the command line", "Python Module Only Found With .py", "Python Module for SMBIOS", "fillplots module in Python" ]
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[ 0.8623958230018616, 0.5990605354309082, 0.5297927260398865, 0.688112735748291, 0.7892264127731323, 0.8759175539016724, 0.8302972316741943, 0.7097737193107605, 0.47334736585617065, 0.7439965009689331, 0.7757240533828735, 0.7719612121582031, 0.5822588205337524, 0.679220974445343, 0.5491234064102173, 0.8088436722755432, 0.6840420961380005, 0.48912060260772705, 0.6809021234512329, 0.5839782357215881, 0.8321535587310791, 0.4755912125110626, 0.6185905933380127, 0.5277941226959229, 0.8270812630653381, 0.6066343188285828, 0.641539454460144, 0.7692761421203613, 0.5214008092880249, 0.4460453987121582 ]
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Plotting timestamps (hour/minute/seconds) with Matplotlib
[ "plotting unix timestamps in matplotlib", "Plotting timestamps with Pandas is not working as expected", "How to plot timestamps in python using matplotlib?", "python date time get the current time but with seconds and hour and minute", "Plotting a function with matplotlib", "Plotting text in matplotlib", "Python's Matplotlib plotting in wrong order", "Plotting multiple Y values against multiple X values which are different timestamps in matplotlib in the same graph?", "python matplotlib error while plotting some data", "Add timestamps in python", "Plotting Lists in Matplotlib", "Plotting sectionwise defined function with python/matplotlib", "Python: creating list of timestamps by minute", "Plotting eigenbehaviours with matplotlib", "Matplotlib: plotting time seconds are floats", "Python Matplotlib Plotting from csv", "Plotting with pandas and matplotlib", "first-in-first-out matplotlib plotting", "split string with timestamps", "Python: How to convert google location timestaMps in a year-month-day-hour-minute-seconds format?", "Matplotlib 1.2 Error while plotting in Python 3.3", "Converting timestamps from a csv to seconds using python", "python plotting using matplotlib", "Plotting timestamps in Python", "problem plotting on logscale in matplotlib in python", "Plotting time in Python with Matplotlib", "Convert float into time (hour.minute) in python", "Python timestamps with time()", "plotting with matplotlib from a module", "Plotting in python using matplotlib?" ]
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[ 0.8468775749206543, 0.8362488746643066, 0.913252592086792, 0.6701943874359131, 0.6930873394012451, 0.6718894243240356, 0.6178799867630005, 0.7831746339797974, 0.6000379920005798, 0.7621681690216064, 0.6858731508255005, 0.6867793202400208, 0.7779331207275391, 0.6450002193450928, 0.8431832790374756, 0.7137258052825928, 0.7257711291313171, 0.7004435062408447, 0.6553632020950317, 0.6829915046691895, 0.5951123237609863, 0.7410794496536255, 0.6738727688789368, 0.9133176207542419, 0.6251542568206787, 0.868803858757019, 0.7307851314544678, 0.7857128381729126, 0.7003258466720581, 0.7200690507888794 ]
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Python assert statement and code reusability
[ "Example use of assert in Python?", "How do you assert something is not true in Python?", "What are acceptable use-cases for python's `assert` statement?", "How to assert two list contain the same elements in Python?", "Converting Python functions to classes for reusability", "How to properly use (assert) in this case with Python?", "How can I assert from Python C code?", "Can not assert type of an object?", "how to write a custom assert Python", "Python : Assert that variable is instance method?", "What is the use of \"assert\" in Python?", "Why not use python's assert statement in tests, these days?", "design of python: why is assert a statement and not a function?", "Assert without the traceback in Python", "how to use assert and == in python?", "Implementing C-like assert", "assert wrapper function", "Assert an integer is within range", "How to use Assert in this instance?", "Python how to assert that a method has been called", "Proper way to assert type of variable in Python", "Assert fails in Python", "When should I use 'assert' in Python?", "Python assert on property set", "How to use less than and equal to in an assert statement in python", "What does assert equal to empty parentheses (assert x == ()) mean?", "Use assert in normal code", "Code reusability in unit tests?", "Use of assert statement in test cases written in python", "assert JSON response" ]
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Creating a countdown timer in Pygame
[ "Countdown timer in Pygame", "Using pygame.time.set_timer", "Python - Countdown timer within a tkinter canvas", "Countdown function with two parameters", "Trouble with a Python Countdown Program", "how to loop down in python list (countdown)", "The Countdown isn't visible and I have an error", "Pygame set_timer() not working?", "I'm trying to create a countdown timer, but it doesn't work", "Address error: (unicode error) 'unicodeescape' codec can't decode", "Countdown timer giving me negative numbers", "Python timer countdown", "python how to make a countdown", "How do I implement start, stop and reset features on a tkinter countdown timer?", "python add time to a countdown already running", "How does this countdown timer work?", "Making a countdown timer with Python and Tkinter?", "Countdown loop for a 'raw_input' on the same line in Python", "countdown for loop in Python", "Can't seem to get pyqt countdown timer to work", "Real Time CountDown Timer In Python", "Python: How to countdown a number, and append that countdown to a list", "Countdown with timer using python decorator", "Kivy simple countdown minute and second timer", "How to add a timer/ countdown before printing text", "Python Countdown while other code running", "Countdown timer in python/wxpython", "Timer in Pygame", "How to implement countdown timer with PyTelegrambotAPI?", "Python countdown" ]
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how find all groups of subsets of set A? Set partitions in Python
[ "How can I find all the subsets of a set, with exactly n elements?", "Subsets of a tuple", "Find all possible subsets that sum up to a given number", "how to make table partitions?", "Partitions of an integer into elements of a set", "create table without partitions", "Set partitions into k groups (including the NULL set) in Python", "Python split a list into subsets based on pattern", "Find the sum of subsets of a list in python", "How can I sort within partitions defined by one column but leave the partitions where they are?", "python - all subsets of a set", "Split CSV data in biweekly partitions", "create a list of all the subsets of a given list in python 3.x", "get all the partitions of the set python with itertools", "Python way to join subsets of an element into a string?", "All subsets of a list without comma at the end of one-element subsets", "Iterating over partitions in Python", "Exact number of subsets", "Create new set of subsets out of set of subsets (python)", "Subsets for a string", "Making subsets of DataFrame", "number of all subsets of a set", "Dismantle dataframe into new dataframes of subsets/groups resp. create new dataframes of data subsets/groups from other dataframe", "What is map_partitions doing?", "Finding all partitions of a set in Java", "How can I find all subsets of a list which have specific items?", "How to split django groups into subsets", "Iterator over all partitions into k groups?", "Set of all subsets", "Python getting subsets" ]
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Numpy modify array in place?
[ "Mapping a NumPy array in place", "How to modify N columns of numpy array at the same time?", "Modify function to use list comprehision in Python", "How to modify a text file using Python", "python - How to modify a string in an array?", "How to modify this string in Python", "Modify pandas dataframe values with numpy array", "How to extend an array in-place in Numpy?", "Python function to modify string", "Iterate and modify array with NumPy", "Why does Python modify the list which is out of the loop?", "Why does list(my_list) modify the object?", "Can I modify the type of an object in python", "Pandas modify column values in place based on boolean array", "How to modify names of a numpy files list?", "Is it possible to modify lines in a file in-place?", "Modify actual element value in array numpy", "how to modify this python for loop?", "What is the meaning of list[:] in this code?", "modify a python list from C++", "Search for value from one array in another array and modify array if not found - numpy", "Modify file using python", "Modify list in Python", "how to modify the output", "How can I modify this code?", "Modify numpy array section in-place using boolean indexing", "Modify a string in a text file", "How do I modify a text file in Python", "get, access and modify element values for an numpy array", "How to modify array values?" ]
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[ 0.924354076385498, 0.9167364239692688, 0.8375072479248047, 0.8298250436782837, 0.8982333540916443, 0.8508960008621216, 0.8910776972770691, 0.922225296497345, 0.8454031944274902, 0.8977615833282471, 0.8657512664794922, 0.854243278503418, 0.8412874937057495, 0.8727395534515381, 0.8879715204238892, 0.889530599117279, 0.903373122215271, 0.8689642548561096, 0.806890606880188, 0.8488618731498718, 0.8740596771240234, 0.8372966051101685, 0.8662596344947815, 0.831710159778595, 0.8496071100234985, 0.9077146053314209, 0.824533224105835, 0.8354426622390747, 0.8719016313552856, 0.8948985934257507 ]
[ 0.8705418109893799, 0.8058028817176819, 0.6477111577987671, 0.6092372536659241, 0.8048640489578247, 0.663020133972168, 0.7670558094978333, 0.8764392733573914, 0.6705172061920166, 0.8554511070251465, 0.6781610250473022, 0.6460306644439697, 0.6686874032020569, 0.7442660331726074, 0.7468419075012207, 0.6861822009086609, 0.8561429977416992, 0.6930109858512878, 0.572616696357727, 0.7278878688812256, 0.746452271938324, 0.6356051564216614, 0.758679986000061, 0.6741652488708496, 0.683569610118866, 0.8296850323677063, 0.640119731426239, 0.6206279397010803, 0.8002350926399231, 0.8267951607704163 ]
[ 0.8300106525421143, 0.7698336839675903, 0.5431445837020874, 0.5315632820129395, 0.7636338472366333, 0.5962495803833008, 0.7138367891311646, 0.8444033861160278, 0.6050528287887573, 0.8314018249511719, 0.6086418628692627, 0.5560581088066101, 0.5906804203987122, 0.6812479496002197, 0.6720099449157715, 0.6099175214767456, 0.8354222178459167, 0.6065627932548523, 0.44765564799308777, 0.6448838710784912, 0.7053326368331909, 0.565941333770752, 0.7037549614906311, 0.608477771282196, 0.5981143712997437, 0.7698022127151489, 0.5521113276481628, 0.5447677373886108, 0.7614948749542236, 0.7928116321563721 ]
[ 0.8718859553337097, 0.7995916604995728, 0.6650067567825317, 0.6298421621322632, 0.8077688217163086, 0.6722579002380371, 0.7697429656982422, 0.8810437917709351, 0.6855239868164062, 0.8424975275993347, 0.6815222501754761, 0.6568808555603027, 0.6809697151184082, 0.7619717121124268, 0.7468283176422119, 0.7298622727394104, 0.8497061133384705, 0.6914067268371582, 0.5752413868904114, 0.7332162857055664, 0.7483561038970947, 0.6560155153274536, 0.7644442319869995, 0.6835453510284424, 0.691922664642334, 0.8271058797836304, 0.6661272644996643, 0.6448091864585876, 0.7904297113418579, 0.8258711695671082 ]
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class method generates "TypeError: ... got multiple values for keyword argument ..."
[ "TypeError: bar() got multiple values for keyword argument '_old'", "Django 1.6 : TypeError render_to_string() got multiple values for keyword argument 'context_instance'", "TypeError: bar() got multiple values for keyword argument 'height'", "TypeError: __init__() got multiple values for keyword argument 'customer'", "got multiple values for keyword argument 'response' - django", "TypeError: pivot_table() got multiple values for keyword argument 'values'", "TypeError: process_spider_output() got multiple values for keyword argument 'response'", "TypeError: __init__() got an unexpected keyword argument 'options'", "TypeError: \"__init__() got multiple values for keyword argument 'name'\"", "How do I use a string as a keyword argument?", "Django 1.6 TypeError render_to_string() got multiple values for keyword argument 'context_instance'", "TypeError: __init__() got an unexpected keyword argument 'size", "Getting a 'got multiple values for keyword argument' error", "django form got multiple values for keyword argument", "TypeError: got an unexpected keyword argument", "Django: TypeError: 'x' is an invalid keyword argument for this function", "Django TypeError(\"'%s' is an invalid keyword argument for this function\")", "Error - TypeError got an unexpected keyword argument 'name' in django", "object got multiple values for keyword argument when writing database using dictionary", "Python 3.5 : TypeError: __init__() got an unexpected keyword argument 'nosigint'", "TypeError: __init__() got an unexpected keyword argument error", "TypeError: __init__() got multiple values for keyword argument 'choices'", "django TypeError: get() got multiple values for keyword argument 'invoice_id'", "Decorators: TypeError: \"got multiple values for keyword argument <variable name>\" on function call", "Django Rest Framework TypeError at / __init__() got multiple values for keyword argument 'read_only'", "TypeError: got multiple values for argument", "TypeError: create_user() got multiple values for keyword argument 'name'", "Multiple values for keyword argument 'question_text'", "TypeError: setup() got multiple values for keyword argument 'packages'", "Python file keyword argument?" ]
[ 0.9116149544715881, 0.9082030057907104, 0.9155064225196838, 0.9167095422744751, 0.9147616028785706, 0.9178773760795593, 0.8986204862594604, 0.9017370939254761, 0.9293792843818665, 0.8543632626533508, 0.9095070362091064, 0.8921624422073364, 0.9411019086837769, 0.9207994937896729, 0.9226292371749878, 0.8960044384002686, 0.9057185649871826, 0.9020731449127197, 0.9101805686950684, 0.884250819683075, 0.903706431388855, 0.9165017008781433, 0.917829155921936, 0.9414878487586975, 0.9040998220443726, 0.938248872756958, 0.9167330265045166, 0.9048990607261658, 0.915868878364563, 0.8645685911178589 ]
[ 0.90517258644104, 0.8967214226722717, 0.9029482007026672, 0.9064305424690247, 0.8913851380348206, 0.907687783241272, 0.8936041593551636, 0.8960937261581421, 0.9262824058532715, 0.849124550819397, 0.8968803882598877, 0.884473443031311, 0.9308554530143738, 0.9023772478103638, 0.9060795307159424, 0.8811591267585754, 0.8790662884712219, 0.8932337164878845, 0.9052389860153198, 0.8603124022483826, 0.8984487056732178, 0.9082416296005249, 0.8887790441513062, 0.9191812872886658, 0.8904691338539124, 0.929638147354126, 0.9257082939147949, 0.8980015516281128, 0.8982651829719543, 0.8518487215042114 ]
[ 0.9032918214797974, 0.8800766468048096, 0.896776020526886, 0.8990707993507385, 0.894700288772583, 0.8994153738021851, 0.885788083076477, 0.8784776926040649, 0.9140300750732422, 0.8374087810516357, 0.8804757595062256, 0.8652268052101135, 0.930328905582428, 0.9060390591621399, 0.8909288644790649, 0.867566704750061, 0.8706550598144531, 0.8765862584114075, 0.8946526050567627, 0.8526339530944824, 0.8763927817344666, 0.9016861915588379, 0.8943192958831787, 0.92689448595047, 0.866358757019043, 0.9313533306121826, 0.9103900194168091, 0.9074673652648926, 0.8946673274040222, 0.8345954418182373 ]
[ 0.7744664549827576, 0.7344040870666504, 0.7441014051437378, 0.7922021746635437, 0.7719202041625977, 0.7658330798149109, 0.7315123081207275, 0.772787868976593, 0.8495162725448608, 0.7770297527313232, 0.7376617193222046, 0.7443342208862305, 0.8909780979156494, 0.784090518951416, 0.8127058744430542, 0.742400586605072, 0.7456541061401367, 0.7257155179977417, 0.8071020841598511, 0.691510796546936, 0.8146255016326904, 0.8213359117507935, 0.7511103749275208, 0.8672579526901245, 0.69846510887146, 0.8743416666984558, 0.7769057154655457, 0.7626290321350098, 0.7351199388504028, 0.6966027021408081 ]
[ 0.6736689805984497, 0.6249680519104004, 0.6514004468917847, 0.7033501863479614, 0.6855549216270447, 0.6850986480712891, 0.6359812021255493, 0.6958359479904175, 0.7712595462799072, 0.6807955503463745, 0.6277720332145691, 0.6589158773422241, 0.8447543382644653, 0.7205329537391663, 0.7602876424789429, 0.6450628042221069, 0.6528798937797546, 0.6297386884689331, 0.7363899946212769, 0.5742688179016113, 0.7405321002006531, 0.7415286302566528, 0.6490358114242554, 0.8079314231872559, 0.593490719795227, 0.8366639614105225, 0.6956597566604614, 0.6641292572021484, 0.6563239097595215, 0.6092690825462341 ]
[ 0.7741625308990479, 0.7472668886184692, 0.7591677904129028, 0.795817494392395, 0.7857542634010315, 0.7913782596588135, 0.7485446929931641, 0.7587350606918335, 0.8497247695922852, 0.7630273103713989, 0.7473768591880798, 0.7324956655502319, 0.8843512535095215, 0.7902489900588989, 0.7887558937072754, 0.7334930896759033, 0.7373676300048828, 0.7134491205215454, 0.8098282814025879, 0.6750077605247498, 0.7917526960372925, 0.8210686445236206, 0.7610136270523071, 0.8610364198684692, 0.7176867127418518, 0.8541773557662964, 0.7986961007118225, 0.7752563953399658, 0.759040117263794, 0.6898239254951477 ]
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SWIG interfacing C library to Python (Creating 'iterable' Python data type from C 'sequence' struct)
[ "How to make a C++ class iterable from Python using SWIG?", "Return Struct data type from C-function in Python via SWIG", "Password management like Lastpass for API interfacing", "PHP and Python interfacing", "SWIG interfacing C library to Python (SWIG generated classes are cumbersome to use)", "Access struct in Python using SWIG", "SWIG and C++ shared library", "python pointer to C structure in SWIG -- accessing the struct members", "using SWIG with C++", "SWIG Python to C++: TypeError trying to set struct member of type map<string, int>", "Interfacing C++ and Python using SWIG", "Accessing C struct array to Python with SWIG", "Problems wrapping and using a function that returns a struct with SWIG (python)", "Python/SWIG: Output an array", "Return list using SWIG from C to Python", "SWIG with python and C: arguments", "Python: SWIG: Wrap Access to a Struct", "How can I type cast one SWIG-wrapped C struct from one type to another within Python?", "Calling a Python function in C++ with Swig", "Python interfacing with C library - How to have a null c pointer", "SWIG C# to Python", "What are the different options for interfacing C (or C++) with Python?", "make data struct iterable in python", "Interfacing with Python code via file read/write?", "SWIG C-to-Python Int Array", "Interfacing C/C++ libraries with Python", "Interfacing python with c++", "python mysqldb problem interfacing with python 2.6 & or mysql", "Using SWIG with pointer to function in C struct", "Creating Macros With Python interfacing with Libinput" ]
[ 0.9173930287361145, 0.902252197265625, 0.8266493082046509, 0.8699434995651245, 0.9536537528038025, 0.9099494814872742, 0.8861786723136902, 0.91254061460495, 0.9033031463623047, 0.87513267993927, 0.9257148504257202, 0.9139009714126587, 0.9057673215866089, 0.8767467141151428, 0.89692223072052, 0.9051643013954163, 0.9022434949874878, 0.9065143465995789, 0.8934431076049805, 0.8649327754974365, 0.9062330722808838, 0.8798846006393433, 0.8967316150665283, 0.8771300315856934, 0.8943382501602173, 0.8935103416442871, 0.8935225009918213, 0.8412061929702759, 0.8980898857116699, 0.8642940521240234 ]
[ 0.9227845668792725, 0.9173027873039246, 0.8297744989395142, 0.8812024593353271, 0.9553289413452148, 0.9187612533569336, 0.8968867063522339, 0.923707127571106, 0.9007633924484253, 0.8968682885169983, 0.933319091796875, 0.9375277757644653, 0.9065963625907898, 0.874213457107544, 0.9135532379150391, 0.911428689956665, 0.8935911655426025, 0.9125679731369019, 0.9079542756080627, 0.8716310262680054, 0.9199116230010986, 0.8772274255752563, 0.8896437287330627, 0.8505316972732544, 0.9189355373382568, 0.8934902548789978, 0.8936397433280945, 0.8449222445487976, 0.9153962135314941, 0.8682242631912231 ]
[ 0.8994485139846802, 0.9061014652252197, 0.8145342469215393, 0.8630295991897583, 0.9373196363449097, 0.901409387588501, 0.881260335445404, 0.89986252784729, 0.8762491941452026, 0.8874858021736145, 0.9137338399887085, 0.9213345050811768, 0.8949434757232666, 0.8646191954612732, 0.8952343463897705, 0.8861769437789917, 0.8871126174926758, 0.8940354585647583, 0.8912543058395386, 0.8688584566116333, 0.8834983110427856, 0.8720066547393799, 0.8669649362564087, 0.8622488975524902, 0.9066451787948608, 0.8808265924453735, 0.8727078437805176, 0.8249298334121704, 0.898844838142395, 0.8556404113769531 ]
[ 0.8407326936721802, 0.8628703355789185, 0.4779576361179352, 0.5999726057052612, 0.8702651262283325, 0.8315149545669556, 0.7249823808670044, 0.8284170627593994, 0.7469478249549866, 0.8260481953620911, 0.7997559309005737, 0.8865567445755005, 0.7977300882339478, 0.773624062538147, 0.8519166111946106, 0.8035279512405396, 0.7777026891708374, 0.8563104867935181, 0.7697270512580872, 0.7180501222610474, 0.7869619131088257, 0.7126240134239197, 0.7564301490783691, 0.6845215559005737, 0.8648325800895691, 0.743808388710022, 0.6853275299072266, 0.5410811901092529, 0.7867753505706787, 0.6980462670326233 ]
[ 0.8015034198760986, 0.8232181668281555, 0.35871994495391846, 0.512000322341919, 0.8373360633850098, 0.7838549613952637, 0.6614282131195068, 0.7886722087860107, 0.6903220415115356, 0.7619330883026123, 0.7471437454223633, 0.8552663326263428, 0.7508968114852905, 0.7155474424362183, 0.8114194869995117, 0.7758949995040894, 0.7283049821853638, 0.8079267740249634, 0.7087429761886597, 0.6499527096748352, 0.733245849609375, 0.6763796806335449, 0.7167060971260071, 0.5838611721992493, 0.8334307074546814, 0.6905505657196045, 0.6144653558731079, 0.42208173871040344, 0.7495886087417603, 0.6064763069152832 ]
[ 0.8405133485794067, 0.8543667793273926, 0.5002416372299194, 0.6102077960968018, 0.8576408624649048, 0.8112504482269287, 0.7212510108947754, 0.8127569556236267, 0.7293874621391296, 0.810834527015686, 0.7920618653297424, 0.8725482821464539, 0.7731651663780212, 0.7556557059288025, 0.8372108340263367, 0.7892388701438904, 0.7580711841583252, 0.8438249826431274, 0.7507127523422241, 0.7128278017044067, 0.7789484858512878, 0.724297046661377, 0.7670050263404846, 0.67984938621521, 0.8492140769958496, 0.7429801225662231, 0.6754367351531982, 0.5596737861633301, 0.7771573066711426, 0.684506356716156 ]
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Decorating a method that's already a classmethod?
[ "Error in decorating a classmethod", "Decorating a function with a method (with arbitrary arguments)", "Python decorating property setter with list", "Python - Decorating a Class Method to test Class Attributes", "difference between decorating with @ symbol and without it in python", "how to know if I'm decorating a method", "Python decorating functions before call", "Decorating a class method after @property", "decorating a function that yields", "decorating a class function with a callable instance", "Decorating a class method with a class method", "Decorating recursive functions in python", "Decorating a method", "Python: decorating simple recursive function", "Decorating a parent class method", "Python decorating class", "Automatically decorating every instance method in a class", "Decorator class decorating a class method", "Decorating a recursive function", "Decorating a Python method already decorated with @classmethod which calls another @classmethod", "Decorating Functions", "Decorating a class method", "Python decorating a method in a class and inheritance", "decorating a method in python", "Class Decorator decorating method in python", "Decorating functions of child classes in python", "Decorating Python's builtin print() function", "Decorating Instance Methods in Python", "decorating decorators in python", "decorating recursive functions" ]
[ 0.926910936832428, 0.904250979423523, 0.8735147714614868, 0.9114450216293335, 0.8614988327026367, 0.910214364528656, 0.8803263306617737, 0.9231054782867432, 0.8784744739532471, 0.9154946804046631, 0.9502402544021606, 0.8763017654418945, 0.9132165908813477, 0.8658661842346191, 0.929853081703186, 0.8975933790206909, 0.9163287878036499, 0.9327876567840576, 0.884752631187439, 0.9372082352638245, 0.8582406640052795, 0.9458317756652832, 0.926301121711731, 0.9148208498954773, 0.9109281897544861, 0.8947097063064575, 0.8757176399230957, 0.8853713274002075, 0.8661710023880005, 0.8686508536338806 ]
[ 0.9015322923660278, 0.8949706554412842, 0.8418921232223511, 0.8843631148338318, 0.8222143650054932, 0.8709604144096375, 0.8637963533401489, 0.8927246928215027, 0.8653372526168823, 0.8859814405441284, 0.9247833490371704, 0.8576757311820984, 0.9036188125610352, 0.8476799726486206, 0.9050723314285278, 0.8741788864135742, 0.87810218334198, 0.8990346193313599, 0.8772193193435669, 0.9077707529067993, 0.860836386680603, 0.9206045866012573, 0.899888813495636, 0.8859133124351501, 0.877364993095398, 0.8747701644897461, 0.8479251861572266, 0.875658392906189, 0.8337374329566956, 0.8530470132827759 ]
[ 0.9104437232017517, 0.898471474647522, 0.8670775890350342, 0.8894051313400269, 0.8206339478492737, 0.8768638372421265, 0.8664591312408447, 0.8980247974395752, 0.8715184330940247, 0.8973168134689331, 0.9317985773086548, 0.8702532649040222, 0.9113987684249878, 0.862672746181488, 0.9007017612457275, 0.8844045400619507, 0.9006668329238892, 0.9118101596832275, 0.8888300657272339, 0.9127670526504517, 0.8569121360778809, 0.9246622920036316, 0.8977247476577759, 0.8953771591186523, 0.8797286748886108, 0.8747810125350952, 0.8694980144500732, 0.8813611268997192, 0.8582950234413147, 0.8723836541175842 ]
[ 0.8570002317428589, 0.8393136262893677, 0.7212045192718506, 0.811873197555542, 0.6594127416610718, 0.8032903671264648, 0.7469567060470581, 0.8201398849487305, 0.7387489080429077, 0.8299684524536133, 0.9123624563217163, 0.6952621936798096, 0.889384388923645, 0.6938461065292358, 0.8842262029647827, 0.755470871925354, 0.8231717348098755, 0.8461694717407227, 0.7144560813903809, 0.9070335626602173, 0.6977013349533081, 0.9066476821899414, 0.8522841930389404, 0.8642075657844543, 0.7984782457351685, 0.7829996347427368, 0.6740427017211914, 0.8352437019348145, 0.7313691973686218, 0.7050689458847046 ]
[ 0.8402508497238159, 0.7750049233436584, 0.6148039102554321, 0.7397985458374023, 0.5549104809761047, 0.7580416798591614, 0.6416328549385071, 0.7464313507080078, 0.6257622241973877, 0.7663566470146179, 0.8843362331390381, 0.5841180086135864, 0.8557302951812744, 0.5918956995010376, 0.8388252258300781, 0.6921529173851013, 0.7704808712005615, 0.8071557879447937, 0.6089282035827637, 0.8656246662139893, 0.5931591391563416, 0.8804040551185608, 0.795927882194519, 0.8096540570259094, 0.7429307699203491, 0.7025429010391235, 0.5494604110717773, 0.7649542093276978, 0.6467472910881042, 0.5907784104347229 ]
[ 0.8401619791984558, 0.8253867626190186, 0.7165813446044922, 0.8079026937484741, 0.6559977531433105, 0.7828291654586792, 0.7468881011009216, 0.8078845739364624, 0.7281845211982727, 0.8140377998352051, 0.9024930596351624, 0.6987205743789673, 0.8648636341094971, 0.7018513679504395, 0.866325855255127, 0.7403834462165833, 0.8105963468551636, 0.8301031589508057, 0.7139581441879272, 0.8991659283638, 0.6958811283111572, 0.8883590698242188, 0.8399699330329895, 0.8481642007827759, 0.7814480662345886, 0.7733641862869263, 0.6965749263763428, 0.8225362300872803, 0.7223029732704163, 0.7033704519271851 ]
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Finding the Maximum Route in a given input
[ "Finding Maximum route with different triangles", "finding the index of the maximum in a matrix in python", "Finding rows with the maximum values within a group", "Finding maximum element in a list programmatically in python", "Finding the maximum element with a recursive function", "Finding multiple maximum values from a file using Python", "Finding the index of the maximum value of nested lists Python 3.x", "PYTHON: Problems with parsing csv file and finding maximum value", "Finding unique maximum values in a list using python", "Finding maximum of a list of lists by sum of elements in Python", "pandas: finding maximum for each series in dataframe", "Finding the element in one array corresponding to the maximum value in another", "Finding the maximum number in a list python 3", "Finding maximum value of a list(Python)", "Finding maximum (max) text-item in a list using python", "Python Finding Index of Maximum in List", "Finding the minimum and maximum of a list of arrays", "Finding index of maximum element from list", "How to return index of element after finding the maximum value", "Finding the maximum sum of elements of a given array", "Finding the maximum of a function", "Python List. Finding the maximum row with all elements not zero", "Finding maximum value in a loop", "Finding the maximum return value of a function and the corresponding input for a given number of inputs", "PYTHON - finding the maximum of every 10 integers in an array", "Finding a maximum in a defined part of a list", "value <= maximum", "Finding index of maximum value in array with NumPy", "Python: Finding Maximum of New values in a csv", "Finding maximum value in a column and return row number" ]
[ 0.937057375907898, 0.8960724472999573, 0.910910427570343, 0.8839341402053833, 0.9116913080215454, 0.8994638919830322, 0.8766154050827026, 0.8692676424980164, 0.8858391642570496, 0.8709206581115723, 0.863319993019104, 0.9045512676239014, 0.8932501077651978, 0.8982192277908325, 0.8768758773803711, 0.8896158933639526, 0.8945538997650146, 0.8898670673370361, 0.8842083215713501, 0.8998933434486389, 0.9108660221099854, 0.8709682822227478, 0.9280705451965332, 0.923332929611206, 0.8776761293411255, 0.907133162021637, 0.8412046432495117, 0.890022873878479, 0.8856973052024841, 0.9099248647689819 ]
[ 0.9312111139297485, 0.8746706247329712, 0.894046425819397, 0.8755654096603394, 0.8992721438407898, 0.889079213142395, 0.8665859699249268, 0.8617163896560669, 0.8844221830368042, 0.8668735027313232, 0.8688820600509644, 0.9043161869049072, 0.8813337683677673, 0.8847485780715942, 0.872362494468689, 0.8769664764404297, 0.8860353231430054, 0.8902065753936768, 0.8790128827095032, 0.9116130471229553, 0.9091072082519531, 0.8654577136039734, 0.9228318333625793, 0.9192646741867065, 0.865999162197113, 0.911808967590332, 0.862268328666687, 0.8847236633300781, 0.8755572438240051, 0.9051284790039062 ]
[ 0.9151324033737183, 0.8854370713233948, 0.904046893119812, 0.8749218583106995, 0.9055179357528687, 0.875012993812561, 0.8732520341873169, 0.8471537232398987, 0.8780174851417542, 0.875409722328186, 0.8523963689804077, 0.8956234455108643, 0.8825711011886597, 0.8647395372390747, 0.8764539957046509, 0.8858617544174194, 0.8834336996078491, 0.8945640921592712, 0.8689048886299133, 0.9048893451690674, 0.9048335552215576, 0.8525225520133972, 0.9191023111343384, 0.9136343002319336, 0.8614813089370728, 0.9190875291824341, 0.8339226245880127, 0.8769428730010986, 0.8712754845619202, 0.8902865648269653 ]
[ 0.8437566757202148, 0.6831698417663574, 0.6318403482437134, 0.7327427864074707, 0.7630947232246399, 0.6708421111106873, 0.6932535171508789, 0.6679199934005737, 0.6831659078598022, 0.7156907916069031, 0.6246364116668701, 0.7136081457138062, 0.6897256374359131, 0.7347527146339417, 0.7066844701766968, 0.7214263677597046, 0.6990612745285034, 0.7400947213172913, 0.7303129434585571, 0.710016131401062, 0.7392295002937317, 0.6867555975914001, 0.7540934681892395, 0.7955744862556458, 0.6831420063972473, 0.7693591117858887, 0.6882250308990479, 0.6901454329490662, 0.6718468070030212, 0.6441226005554199 ]
[ 0.8090124130249023, 0.5997395515441895, 0.5636289119720459, 0.6415226459503174, 0.6978678703308105, 0.5837452411651611, 0.6031044721603394, 0.5795371532440186, 0.6077437400817871, 0.6188015937805176, 0.5417612791061401, 0.6399319171905518, 0.6103053092956543, 0.6597239375114441, 0.609718382358551, 0.6443512439727783, 0.5959868431091309, 0.6636111736297607, 0.6388629674911499, 0.601876437664032, 0.6858989000320435, 0.5928744673728943, 0.6913419961929321, 0.7147691249847412, 0.5939629077911377, 0.6936036348342896, 0.5977685451507568, 0.6091116666793823, 0.5859252214431763, 0.5570188164710999 ]
[ 0.8461477756500244, 0.6955775022506714, 0.6640133857727051, 0.735283374786377, 0.7678329944610596, 0.6879889965057373, 0.6964372396469116, 0.6752468347549438, 0.6955116391181946, 0.7202278971672058, 0.6500877141952515, 0.7160896062850952, 0.6853113770484924, 0.7355046272277832, 0.7209675312042236, 0.7240350246429443, 0.7046903371810913, 0.7451142072677612, 0.7304887771606445, 0.7122669219970703, 0.7490969896316528, 0.6987926959991455, 0.7486060857772827, 0.7969528436660767, 0.6841467022895813, 0.7688993215560913, 0.6880438327789307, 0.6960084438323975, 0.6924885511398315, 0.6584930419921875 ]
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Combining two matplotlib colormaps
[ "stacking colormaps", "Two different color colormaps in the same imshow matplotlib", "Using Colormaps to set color of line in matplotlib", "Combining if with not and or", "How to use multiple colormaps in seaborn on same plot", "How can I programmatically find valid names for Mayavi colormaps?", "Combining two QMainWindows", "Combining objects in a list. Python", "Plotting of 2D data : heatmap with different colormaps", "Permanently registering colormaps in matplotlib", "How to use colormaps to color plots of Pandas DataFrames", "composing colormaps in matplotlib using elements like tab* builtin", "combining two string variables", "Combining two files using python?", "How to view all colormaps available in matplotlib 1.5?", "Combining Two List Python", "Combining files in python using", "creating a color coded time chart using colorbar and colormaps in python", "Use colormaps along with matplotlib cycler", "Python array combining", "Representing 4D data in mplot 3D using colormaps", "Reversing colormaps or specifying colors in a matplotlib/pandas plot", "Modifying python colormaps to single value beyond a specific point", "Merge colormaps in matplotlib", "Join two colormaps in imshow", "Combining elements in Python", "Matplotlib - two different colormaps with different ranges", "Combining get() method and %s string", "How to add a new color in matplotlib graph (or use colormaps)?", "Applying colormaps to custom axis in Matplotlib 3D surface" ]
[ 0.8989613056182861, 0.9527757167816162, 0.9293076992034912, 0.8495714068412781, 0.9025219678878784, 0.857089638710022, 0.8965451717376709, 0.8745563626289368, 0.9101812839508057, 0.9202991724014282, 0.9042121171951294, 0.9287620782852173, 0.891750693321228, 0.9069167375564575, 0.895325779914856, 0.9147607088088989, 0.8984995484352112, 0.8929018974304199, 0.9341625571250916, 0.8892953395843506, 0.9009893536567688, 0.9022365212440491, 0.884556770324707, 0.9521206617355347, 0.9154709577560425, 0.8851351737976074, 0.9444432854652405, 0.8589589595794678, 0.9133410453796387, 0.9188771843910217 ]
[ 0.8929692506790161, 0.9422063827514648, 0.9181128740310669, 0.8556358814239502, 0.882656455039978, 0.844693660736084, 0.8997458219528198, 0.8808711767196655, 0.8942400217056274, 0.9163426160812378, 0.9004369974136353, 0.8946443796157837, 0.8760314583778381, 0.8773326873779297, 0.8760231733322144, 0.8968063592910767, 0.8720928430557251, 0.9032623767852783, 0.8964827656745911, 0.8856528997421265, 0.8953776359558105, 0.9015835523605347, 0.8883264660835266, 0.9601582288742065, 0.9249255657196045, 0.876939058303833, 0.9319123029708862, 0.8572252988815308, 0.9029943346977234, 0.9041537046432495 ]
[ 0.88995361328125, 0.9417916536331177, 0.9062069058418274, 0.8576464653015137, 0.8698018789291382, 0.84130859375, 0.8982630372047424, 0.8688315153121948, 0.8847581148147583, 0.8949265480041504, 0.8804954290390015, 0.8995596170425415, 0.8867954611778259, 0.8774041533470154, 0.8738072514533997, 0.9008205533027649, 0.8809585571289062, 0.8815270066261292, 0.8868898153305054, 0.8904350996017456, 0.8719197511672974, 0.8904263377189636, 0.8724722862243652, 0.9560747742652893, 0.9167221784591675, 0.8774237632751465, 0.9225168228149414, 0.8505451679229736, 0.8942824602127075, 0.8906244039535522 ]
[ 0.8514178991317749, 0.8924685716629028, 0.7922511100769043, 0.5012131929397583, 0.797843337059021, 0.6727139949798584, 0.5971438884735107, 0.5843571424484253, 0.8047568798065186, 0.7793005704879761, 0.7744745016098022, 0.8232252597808838, 0.5496918559074402, 0.6743179559707642, 0.7680254578590393, 0.6060988903045654, 0.6316860914230347, 0.726837158203125, 0.8108782172203064, 0.586879551410675, 0.7327483892440796, 0.7815415859222412, 0.7260167598724365, 0.9320563673973083, 0.8792685866355896, 0.6040322184562683, 0.8885049819946289, 0.387259840965271, 0.7852151989936829, 0.7563529014587402 ]
[ 0.7939337491989136, 0.8658789992332458, 0.7586079835891724, 0.4051012396812439, 0.7624228596687317, 0.6026116609573364, 0.5313150882720947, 0.524580180644989, 0.751447856426239, 0.7432694435119629, 0.7316766977310181, 0.7833755016326904, 0.49373143911361694, 0.6266598701477051, 0.7245825529098511, 0.5846848487854004, 0.5699092149734497, 0.6705928444862366, 0.768460750579834, 0.5541671514511108, 0.6635079383850098, 0.7321868538856506, 0.6681310534477234, 0.9166994094848633, 0.8361918330192566, 0.5618225932121277, 0.864235520362854, 0.27521902322769165, 0.769330620765686, 0.7078250646591187 ]
[ 0.8474444150924683, 0.8775826096534729, 0.7842890024185181, 0.5307038426399231, 0.7974937558174133, 0.6719361543655396, 0.6268147230148315, 0.600514829158783, 0.7990729808807373, 0.7769595384597778, 0.7697088122367859, 0.8068615198135376, 0.5833742618560791, 0.6974160671234131, 0.7582136392593384, 0.6155099868774414, 0.6450563669204712, 0.7270221710205078, 0.808014452457428, 0.60125732421875, 0.7212846279144287, 0.7699775099754333, 0.7098678946495056, 0.9263133406639099, 0.8725865483283997, 0.6235516667366028, 0.8773263692855835, 0.4451526403427124, 0.7852255702018738, 0.7477384805679321 ]
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Use Python to select rows with a particular range of values in one column
[ "KeyError when trying to use Python to select rows with a particular range of values in one column", "Pandas Select all Rows with Either of the Top 2 Values in a Particular Column", "How to update all rows in particular column of pandas dataframe in python?", "Display rows where any value in a particular column occurs more than once", "Find index of all rows with null values in a particular column in pandas dataframe", "Find rows that have same values in another column - Python", "Select range of rows in query", "Select rows from a DataFrame by date_range", "pandas data frame find all rows with particular column value?", "Show all values in an array for a particular number in one column", "Select rows from a DataFrame based on values in a column in pandas", "Pandas - Select rows based on other rows", "Select particular rows from inside groups in pandas dataframe", "How to select column and rows in pandas without column or row names?", "python select range from list of list", "Get the particular rows in Python", "Keeping 3 rows for particular values in column of dataframe", "How to select first rows when column changes value in numpy.array", "Pandas make all values in a column 1 after a particular value", "How do I select a range of rows between two values using pandas?", "How to select rows with NaN in particular column?", "How to drop rows from pandas data frame that contains a particular string in a particular column?", "Select values in a column based on multiple rows in a different column", "Pandas: select dataframe rows only if the values in a specific column start with", "Select rows from a DataFrame based on multiple values in a column in pandas", "Select rows such that specific column contains values from a list", "Select rows where a particular column has is two characters long", "How to sum values of particular rows in pandas?", "Select column in values, in python", "How can I access particular column values?" ]
[ 0.9478907585144043, 0.9105358123779297, 0.8797775506973267, 0.9009132981300354, 0.884139895439148, 0.9248907566070557, 0.914447546005249, 0.9183666706085205, 0.8994762897491455, 0.9080172777175903, 0.9232402443885803, 0.8927850723266602, 0.9022062420845032, 0.8873574733734131, 0.8932633399963379, 0.9100065231323242, 0.9083899855613708, 0.9042867422103882, 0.9009276032447815, 0.9314125180244446, 0.9021022319793701, 0.8845943212509155, 0.9308769702911377, 0.9124506115913391, 0.9245176315307617, 0.9137346744537354, 0.8884243965148926, 0.8906939625740051, 0.9310122728347778, 0.8797498345375061 ]
[ 0.9555972218513489, 0.9042792320251465, 0.8545805215835571, 0.8909411430358887, 0.8674163818359375, 0.9002295732498169, 0.9170329570770264, 0.9088571667671204, 0.8695042729377747, 0.9016900658607483, 0.9181614518165588, 0.8996327519416809, 0.9099596738815308, 0.8621820211410522, 0.8889085650444031, 0.920257568359375, 0.8907772302627563, 0.8866392374038696, 0.8857410550117493, 0.901910126209259, 0.9009737968444824, 0.8743048310279846, 0.9240387678146362, 0.9128233194351196, 0.9099980592727661, 0.926671028137207, 0.8928176760673523, 0.8618549704551697, 0.9327422380447388, 0.8700995445251465 ]
[ 0.9470292329788208, 0.8946698904037476, 0.8511407971382141, 0.8798102736473083, 0.8671798706054688, 0.8901318907737732, 0.9114309549331665, 0.9036906957626343, 0.880518913269043, 0.887408971786499, 0.910986065864563, 0.8876683712005615, 0.8915526866912842, 0.875106692314148, 0.8828059434890747, 0.9117439389228821, 0.8790016770362854, 0.8796297311782837, 0.8872751593589783, 0.9086941480636597, 0.8940349221229553, 0.8588108420372009, 0.9121109843254089, 0.8989725708961487, 0.899535059928894, 0.9177179932594299, 0.8903329372406006, 0.8764039874076843, 0.9143091440200806, 0.8695236444473267 ]
[ 0.861156165599823, 0.7871460914611816, 0.6659806966781616, 0.7401361465454102, 0.6840113401412964, 0.7888174057006836, 0.7793629169464111, 0.7681500911712646, 0.7484049797058105, 0.7309570908546448, 0.7874025106430054, 0.7240582704544067, 0.7606722712516785, 0.7395269274711609, 0.7442550659179688, 0.7680690288543701, 0.7091875076293945, 0.7711092829704285, 0.6969665288925171, 0.8560085892677307, 0.7961561679840088, 0.7150594592094421, 0.8111559152603149, 0.7721611857414246, 0.7790079116821289, 0.8598014116287231, 0.7648440599441528, 0.691799521446228, 0.7868207693099976, 0.6848981380462646 ]
[ 0.865991473197937, 0.7154146432876587, 0.5807111263275146, 0.6148661375045776, 0.5855573415756226, 0.72734534740448, 0.7182842493057251, 0.7150079011917114, 0.6696954965591431, 0.6472671031951904, 0.7599852085113525, 0.6714527606964111, 0.6822868585586548, 0.6818631887435913, 0.6982275247573853, 0.7061245441436768, 0.6273747682571411, 0.7170586585998535, 0.6383417844772339, 0.8196133971214294, 0.7328439354896545, 0.6196311712265015, 0.7481063008308411, 0.7227553129196167, 0.7370448112487793, 0.80042964220047, 0.6728277206420898, 0.6111404299736023, 0.7475253343582153, 0.6085776686668396 ]
[ 0.8720040321350098, 0.7766046524047852, 0.678443968296051, 0.7205532789230347, 0.6783226728439331, 0.762305736541748, 0.7726983428001404, 0.7576240301132202, 0.75346839427948, 0.7404582500457764, 0.7712215781211853, 0.7001227140426636, 0.7418323755264282, 0.7233342528343201, 0.7254588007926941, 0.7416149973869324, 0.7026673555374146, 0.7424008846282959, 0.7022596597671509, 0.842824399471283, 0.7850799560546875, 0.719973087310791, 0.785847544670105, 0.7643406987190247, 0.7623375058174133, 0.8433488011360168, 0.7640037536621094, 0.6981202960014343, 0.7522575855255127, 0.6874387264251709 ]
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Find duplicate values in list of tuples in Python
[ "Python : Find tuples from a list of tuples having duplicate data in the 0th element(of the tuple)", "Find duplicate items within a list of list of tuples Python", "Tuples of list and string", "Python - create tuples from list", "How to create a list of tuples", "How to change some the values of a list of tuples?", "Python: create list of tuples", "How can I extract duplicate tuples within a list in Python?", "Zip without duplicate values in the resulting tuples", "Python - list of tuples from file", "List of tuples in Python", "List of Tuples to List of List of Tuples", "tuples for list - python", "Given a list of Tuples, return a new list of the first values of the tuples", "Find string in a List of Tuples", "List with tuples in python", "Create a list of tuples from list of tuples", "How to remove duplicate items in multiple tuples of a dictionary?", "Delete duplicate tuples from list of list in Python", "Finding Duplicate element in list of tuples", "removing duplicate tuples in python", "Python list of tuples", "Python - How to remove duplicate tuples in a list of lists?", "How to create a list of tuples Python?", "How to print a list of tuples", "Concatanate tuples in list of tuples", "How to denest tuples in Python", "Python list tuples", "TypeHinting tuples in Python", "Looking for algorithm to merge tuples containing duplicate fields, within list of tuples" ]
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[ 0.9373025298118591, 0.9807224273681641, 0.8787673711776733, 0.9115464687347412, 0.8877111673355103, 0.8842073678970337, 0.9037519693374634, 0.9506374597549438, 0.8880196809768677, 0.8967044949531555, 0.9119673371315002, 0.8693726658821106, 0.8997324109077454, 0.9035906791687012, 0.9208228588104248, 0.9321852922439575, 0.9040459394454956, 0.9107565879821777, 0.9575382471084595, 0.9523981809616089, 0.9435121417045593, 0.9188244342803955, 0.9373568296432495, 0.9040665626525879, 0.8973677158355713, 0.8867813348770142, 0.9007304310798645, 0.9270931482315063, 0.8919225931167603, 0.9106709361076355 ]
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[ 0.9054351449012756, 0.9456956386566162, 0.7265636920928955, 0.7751891613006592, 0.7503341436386108, 0.7381883859634399, 0.7643893957138062, 0.8943125009536743, 0.7622992992401123, 0.7136082649230957, 0.794424831867218, 0.7328430414199829, 0.7677766680717468, 0.7796986103057861, 0.7883025407791138, 0.7527716159820557, 0.7780932188034058, 0.8472663164138794, 0.8658748865127563, 0.9447676539421082, 0.8888622522354126, 0.7794082164764404, 0.894609808921814, 0.7653735876083374, 0.731298565864563, 0.7483404278755188, 0.7291969060897827, 0.7614351511001587, 0.6421514749526978, 0.8205338716506958 ]
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Is there a python equivalent of Ruby's 'rvm'?
[ "Does Python have something as robust as Ruby's rvm?", "equivalent of Python's \"with\" in Ruby", "Ruby equivalent to Python's help()?", "What would the ruby equivalent be to this python script?", "What's the equivalent of Ruby's class @@variable in Python?", "Python equivalent of Ruby's .select", "`if __name__ == '__main__'` equivalent in Ruby", "Ruby equivalent for Python's \"try\"?", "Ruby Equivalent of Python \"_\"", "Ruby equivalent to Python __main__", "What's the equivalent of python's __file__ in ruby?", "Python equivalent of Ruby's each_with_index?", "Is there a ruby equivalent of \"python -i\"?", "Is VirtualEnv for Python essentially the same as RVM for Ruby", "Python Equivalent to Ruby 'is_a?'", "Python equivalent of Ruby `if __FILE__ == $PROGRAM_NAME`", "Ruby equivalent of Python str[3:]", "Is there a Python equivalent of Ruby's 'any?' function?", "What's the Ruby equivalent of Python's output[:-1]?", "Equivalent ruby code for python", "Ruby equivalent for python array", "Python equivalent of Ruby SOCKsify", "Python equivalent of ruby's StringScanner?", "Python equivalent to Ruby Array.each method", "Ruby's watchr equivalent in Python?", "Python equivalent of ruby's __method__?", "Python's equivalent of Ruby's ||=", "Ruby methods equivalent of \"if a in list\" in python?", "Python equivalent for Ruby's ObjectSpace?", "Ruby \"is\" equivalent" ]
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Is the list of Python reserved words and builtins available in a library?
[ "Are \"Field\" and \"Fields\" reserved words in Django or Python?", "Django Content reserved word?", "No module named builtins", "Instance variable name a reserved word in Python", "python set.remove behavior and other builtins", "python: retrieve names of all builtins", "builtins.ValueError: 'e' is not in list", "Why isn't 'list' a reserved word in Python?", "Python namespace in between builtins and global?", "Why can't class attributes be named as reserved words in python?", "why __builtins__ is both module and dict", "builtins.True syntax error", "builtins.TypeError: object of type 'int' has no len()", "using python reserved keyword as variable name", "In python, why import 'object' from builtins module?", "__import__ missing from Python __builtins__ (when in Django Shell)", "Get class and object attributes of class without methods and builtins", "Where is builtins module located?", "control-b: is it reserved?", "Gadfly uses reserved words in python. How does it do that?", "How can I see Python's __builtins__ source code?", "Is \"message\" a reserved word in Django or Python?", "quotes around __builtins__?", "How to use reserved keyword as the name of variable in python?", "Django Reserved Url Names", "How to change __builtins__ module variable?", "Using Python3 C API to add to builtins", "Dilling Error. It's not found in builtins", "builtins.ValueError: '5' is not in list", "using reserved words in column names in pandas" ]
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[ 0.8841515779495239, 0.8530348539352417, 0.8379905819892883, 0.8559629321098328, 0.852333128452301, 0.8641340732574463, 0.8512476682662964, 0.8849176168441772, 0.8854807615280151, 0.8699249625205994, 0.8453137278556824, 0.8428156971931458, 0.849480390548706, 0.8470973372459412, 0.8615918755531311, 0.8327631950378418, 0.8242403864860535, 0.8604670763015747, 0.8090921640396118, 0.8697618246078491, 0.8557342290878296, 0.877331018447876, 0.8595234155654907, 0.8634018898010254, 0.8249781727790833, 0.8365873098373413, 0.8577560186386108, 0.824992299079895, 0.8576792478561401, 0.8379186987876892 ]
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[ 0.7442153096199036, 0.7186174392700195, 0.6866613626480103, 0.756050705909729, 0.6093606948852539, 0.7839342355728149, 0.697823703289032, 0.7997655272483826, 0.6971569061279297, 0.7618252038955688, 0.6748625636100769, 0.6187730431556702, 0.5878656506538391, 0.7458508014678955, 0.6377298831939697, 0.6591305136680603, 0.609908401966095, 0.668968677520752, 0.6182229518890381, 0.7675421833992004, 0.7527124285697937, 0.7049268484115601, 0.7210745811462402, 0.745104968547821, 0.6794172525405884, 0.6478760242462158, 0.6795452833175659, 0.6052054166793823, 0.687933087348938, 0.7174135446548462 ]
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Center origin in matplotlib
[ "One zero at the origin of the graph", "The origin of using # as a comment in Python?", "matplotlib how to start ticks leaving space from the axis origin", "Can't shift the origin in python..?", "Matplotlib coord. sys origin to top left", "python print in center", "How to determine the origin of a Python exception", "Changing the origin of a plot", "Print if origin in tuple is [0] (python)", "couldn't remove origin point in matplotlib polycollection", "Scatter plot in matplotlib origin aligned", "How do you make a circle from origin", "where does python store origin value for str", "How to center python print", "Draw axis lines or the origin for Matplotlib contour plot", "Origin of this error", "Set Header Access-Control-Allow-Origin with python print", "Center str in python 2.7", "Do i need to check same-origin in django (ajax)?", "Origin null is not allowed by Access-Control-Allow-Origin with Google App Engine App", "Pyplot move origin with axis", "Getting the request origin in a Django request", "AllowAccess issue even if my server has `Access-Control-Allow-Origin:*`", "Move origin from center to top left corner in Python turtle?", "Origin of the names Python and Idle", "replace string with string based on the origin content", "ajax request to pyramid returns Origin is not allowed by Access-Control-Allow-Origin", "Matplotlib: align origin of right axis with specific left axis value", "Python: Center array image", "Matplotlib: move Origin to upper left corner" ]
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Display an OpenCV video in tkinter using multiprocessing
[ "Record OpenCV video during Tkinter mainloop", "Loading a video in OpenCV in Python", "How to use Python and OpenCV with multiprocessing?", "Python opencv and multiprocessing", "Adding Text to Video, Opencv", "OpenCV 2.4 in python - Video processing", "Creating a video using OpenCV 2.4.0 in python", "Read an image with OpenCV and display it with Tkinter", "No video output OpenCV Python", "Not able to play video in opencv (Python 2.7)", "Multiprocessing in Python tkinter", "Python, Display openCv image in Tkinter in Label", "How to read video files using python & Opencv", "Can't open video using opencv", "Cannot open video in OpenCV (Python)", "Using OpenCV with Tkinter", "How to detect objects in a video opencv with Python?", "Error During Saving a video using python and opencv", "Do not display python OpenCV error", "Python creating video from images using opencv", "openCV video saving in python", "OpenCv Video Display PyQt5", "Unable to write video using OpenCV in Python", "Opening video with openCV", "Python 3.6 Tkinter and Multiprocessing", "Can't show the video on python OpenCV", "Unable to open Video File in Python using OpenCV", "How to get frame from video by its index via OpenCV and Python?", "Python : Testing Video in OpenCV using python", "Read a video in opencv (python)" ]
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Pick N items at random from sequence of unknown length
[ "Python pick 20 random results from list", "pick a random number not in a list", "Python: Random sequence", "How do I pick x random elements from a list, for x > len(list)?", "How to remove header of unknown length using Python", "Pick a Random Word On a Single Line In Python?", "How to pick a random no from a list (contain 1 to n values) with certain thresold value?", "Unknown error in python", "How do I pick 2 random items from a Python set?", "How can list[n] point to list[0]? Getting items not in sequence", "Unknown error with my code", "How can I pick from this string?", "How to add unknown values in python", "Python: Print list of unknown length?", "How to make this code pick a random number each call Python?", "how do I modify a url that I pick at random in python", "Pick x (f.e. first) characters from a List entry then pick random entries from the new list", "How to pick a sequence of numbers from a list?", "random string from a sequence", "Unknown * in numpy.random function", "Python: elegant way to split a string in order to pick the last element when the len of string is unknown", "Pick data from array", "python print in format way unknown list length", "How to get all the elements an unknown length python list?", "Pick non-random object from list Python", "Python: Lists and Random. How to pick random numbers between 0 and [number of strings in the list]?", "Remove items in a sequence from a string Python", "Python: Pick other value", "python random sequence from list" ]
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why my django site in hosting (alwaysdata) cant show my page
[ "django hosting error , about alwaysdata.com", "Django cant read variables", "Django site cant be reached", "Problem with Django site on a shared hosting", "Web Hosting of Django Application", "How Much Traffic Can Shared Web Hosting (for a Python Django site) support?", "Installing Python-based CMSes on a shared hosting?", "Hosting API docs generated with mkdocs at a URL within a Django project", "For Python support, what company would be best to get hosting from?", "Python server for hosting sockets and reading data", "Cant get the child dir in django hosting (alwaysdata.com)", "Locally hosting Django project", "How can I get sqlite working on a shared hosting server?", "what are some free hosting servers to support Python", "Python not working in Linux shared hosting server", "Hosting a non-trivial python program on the web?", "Hosting by using external ip", "BasicHTTPServer on Shared Hosting", "Getting data from a site, which cant be found in main HTML file in Python", "Shared hosting setup for on Apache for Django 1.10", "Installing python on 1and1 shared hosting", "Hosting my Django site", "Hosting a Google App Engine app on my own server", "Web.py on shared hosting", "Python 3 hosting", "how to scrawl file hosting website with scrapy in python?", "Django compatible web hosting services", "Running a python script on my hosting" ]
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Django / django-easy-pdf : 'NoneType' object has no attribute 'encode'
[ "'NoneType' object has no attribute 'encode'", "Why do I get AttributeError: 'NoneType' object has no attribute 'something'?", "django - AttributeError: 'NoneType' object has no attribute 'first_name'", "Python error: 'NoneType' object has no attribute 'find_all'", "NoneType object has no attribute get", "NoneType' object has no attribute 'model'", "Python 2.7 'NoneType' object has no attribute", "'NoneType' object has no attribute 'append' in python", "Python - Attribute error, 'NoneType' object has no attribute", "Django 'NoneType' object has no attribute 'obj'", "How to resolve nonetype object has no attribute encode error in python 2.7", "Python : Another 'NoneType' object has no attribute error", "NoneType has no attribute .format", "'NoneType' object has no attribute 'show'", "Python NoneType object has no attribute 'get'", "Python 'NoneType' object has no attribute '...'", "why do I keep getting 'NoneType' object has no attribute 'a' in django app?", "'NoneType' object has no attribute 'text'", "django method is there, but evaluatesto NoneType when I try to call it", "Django: AttributeError: 'NoneType' object has no attribute 'split'", "'NoneType' object has no attribute 'split'", "AttributeError: 'NoneType' object has no attribute 'encode'", "Method attribute of NoneType object", "Error when configuring tkinter widget: 'NoneType' object has no attribute", "How to resolve AttributeError: 'NoneType' object has no attribute 'encode' in python", "'NoneType' object has no attribute 'append'", "Python Attribute Error: 'NoneType' object has no attribute 'find_all'", "Error 'NoneType' object has no attribute 'read'", "Django - AttributeError: 'NoneType' object has no attribute 'method'", "Django error: AttributeError: 'NoneType' object has no attribute 'db'" ]
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[ 0.9396239519119263, 0.8874819278717041, 0.9169682264328003, 0.8890815377235413, 0.8862748146057129, 0.8995949029922485, 0.8968586921691895, 0.9001448154449463, 0.9103778600692749, 0.9235933423042297, 0.8930691480636597, 0.8918761014938354, 0.8852978944778442, 0.8940794467926025, 0.9013323783874512, 0.903326690196991, 0.8985098600387573, 0.9041873812675476, 0.883797287940979, 0.910520076751709, 0.895355224609375, 0.9307631254196167, 0.8597540259361267, 0.8998780846595764, 0.9283980131149292, 0.9022294282913208, 0.8902609348297119, 0.8931558728218079, 0.9135891199111938, 0.9140026569366455 ]
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How to define a long hex literal over several lines?
[ "How to convert a hex string to hex number", "Hex Bitmasking in Python", "How do you convert a hex string into hex?", "python literal binary to hex conversion", "Print string as hex literal python", "Why Does Hex() Function returns a string instead an int hex?", "How to convert hex string to hex number?", "Python hex string", "Python: List to Hex", "Python hex to string?", "Hex file to string array?", "How to work with hex() in python?", "Python Hex File Write", "How to change a string to hex", "Hex code using Python", "Hex to a String Python", "How do I print a hex value?", "Create a list of Hex value in python", "Python: string to hex literal", "Using python to write hex to file", "Python String to hex", "Compare bytes in Python 2 from file with hex literal?", "Python 3.1.1 string to hex", "Python: Read hex from file into list?", "Read hex from file (Python)", "Read a hex string from a file in python", "hex and string in python", "long hex string to integer in python", "How to XOR a hex string with a literal string in Python?", "How to append a list of Hex to one Hex number" ]
[ 0.8838428258895874, 0.8445440530776978, 0.8871954679489136, 0.8904986381530762, 0.887924075126648, 0.863052487373352, 0.8820865154266357, 0.8631817102432251, 0.8553608655929565, 0.8705064654350281, 0.8687841892242432, 0.8876854181289673, 0.8496986627578735, 0.8755084872245789, 0.8627237677574158, 0.8624812364578247, 0.8768579959869385, 0.8748020529747009, 0.880943775177002, 0.8720478415489197, 0.8593308925628662, 0.8662844896316528, 0.8557447195053101, 0.878887414932251, 0.8586558103561401, 0.8605272769927979, 0.8622899651527405, 0.885444164276123, 0.8927221894264221, 0.8892434239387512 ]
[ 0.8771029710769653, 0.8496697545051575, 0.88657146692276, 0.860042154788971, 0.8768986463546753, 0.8540711402893066, 0.8891943693161011, 0.8598649501800537, 0.8539998531341553, 0.8620002865791321, 0.8718761801719666, 0.8805117011070251, 0.8441367149353027, 0.8684499859809875, 0.8591011166572571, 0.8554083108901978, 0.8871355652809143, 0.8547358512878418, 0.8839688897132874, 0.8495166301727295, 0.8560059070587158, 0.8758100271224976, 0.8477053642272949, 0.8659416437149048, 0.8457276821136475, 0.8499919176101685, 0.8554658889770508, 0.8741512298583984, 0.8811650276184082, 0.872654378414154 ]
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[ 0.6041760444641113, 0.5903707146644592, 0.6633707284927368, 0.6681360006332397, 0.6916415095329285, 0.5325026512145996, 0.6035212278366089, 0.6201236844062805, 0.5752326250076294, 0.6128669381141663, 0.6099051237106323, 0.6242589354515076, 0.6207203269004822, 0.6427525281906128, 0.6344074010848999, 0.6105310916900635, 0.6403471231460571, 0.6059226393699646, 0.7186148166656494, 0.6174869537353516, 0.5985536575317383, 0.630295991897583, 0.5884404182434082, 0.5978595018386841, 0.6209214925765991, 0.6138880848884583, 0.617750883102417, 0.6802913546562195, 0.6876183748245239, 0.6200884580612183 ]
[ 0.6942964792251587, 0.6879833340644836, 0.7416548728942871, 0.751954197883606, 0.7607185244560242, 0.6304532289505005, 0.7045186758041382, 0.6952695846557617, 0.6819400787353516, 0.7108138203620911, 0.7048007845878601, 0.7278245687484741, 0.7234266996383667, 0.7093576192855835, 0.7087766528129578, 0.6880382895469666, 0.7313625812530518, 0.708261251449585, 0.7848680019378662, 0.7159318923950195, 0.6806905269622803, 0.7333816289901733, 0.680804967880249, 0.7062609791755676, 0.7181272506713867, 0.7180871367454529, 0.6921961307525635, 0.7568126320838928, 0.775801420211792, 0.7142114639282227 ]
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'DataFrame' object is not callable the function
[ "Dataframe Object is not callable", "What in python is not a callable", "Python List Error not callable", "list is not callable error in python", "Why is 'module' object not callable?", "'List' object is not callable", "Python program error 'list' object is not callable", "Object not callable python", "Python module' object is not callable", "python 'module' object is not callable", "What is a \"callable\"?", "Type Error: 'list' object not callable Python", "Python Object not callable", "Python Error: List Object Not Callable with For Loop", "Python list is not callable error", "List object not callable", "Object is not callable", "'Module' object is not callable", "Python : 'list' object is not callable", "Module object not callable", "List Object Not Callable, Can't Find Error", "Python \"'module' object is not callable\"", "'Index' object is not callable in python", "TypeError: 'DataFrame' object is not callable", "type error 'class' object not callable", "Module Object is Not Callable", "TypeError: 'DataFrame' object is not callable python function", "SingleVoucherReward' object is not callable\"", "Python \"List\" object is not callable", "Python string object not callable" ]
[ 0.9636813402175903, 0.904085636138916, 0.9061920046806335, 0.9089544415473938, 0.8872970342636108, 0.9294325113296509, 0.9057744741439819, 0.914381742477417, 0.9317682385444641, 0.9220609664916992, 0.8349930047988892, 0.9024635553359985, 0.9160460233688354, 0.883373498916626, 0.9128037691116333, 0.9000675678253174, 0.9085972309112549, 0.9304248094558716, 0.9160784482955933, 0.9038510322570801, 0.9062923192977905, 0.9238245487213135, 0.9135150909423828, 0.9619408845901489, 0.9173442125320435, 0.9106917381286621, 0.9643182754516602, 0.9048738479614258, 0.9266057014465332, 0.9094444513320923 ]
[ 0.968045711517334, 0.8879523873329163, 0.9039536714553833, 0.8940057158470154, 0.9024319648742676, 0.9428284168243408, 0.9205626845359802, 0.9189925789833069, 0.9387269020080566, 0.9409269094467163, 0.8345744013786316, 0.9122814536094666, 0.9261689782142639, 0.8878265023231506, 0.9108118414878845, 0.912517249584198, 0.9239248037338257, 0.9373534321784973, 0.9256200790405273, 0.9152368307113647, 0.8936401605606079, 0.9335331916809082, 0.9319067001342773, 0.9601776599884033, 0.9168895483016968, 0.9222899079322815, 0.9599275588989258, 0.8909080624580383, 0.9356200695037842, 0.9172855615615845 ]
[ 0.9736425876617432, 0.8808166980743408, 0.9030807018280029, 0.9079850912094116, 0.8997538089752197, 0.9363709688186646, 0.904870867729187, 0.9024022817611694, 0.927026629447937, 0.9271262884140015, 0.8463479280471802, 0.910530686378479, 0.9176306128501892, 0.8906410932540894, 0.9174072742462158, 0.9166226387023926, 0.92878258228302, 0.925997793674469, 0.9154523611068726, 0.9132720828056335, 0.9113667011260986, 0.9230973720550537, 0.9175539016723633, 0.9637919664382935, 0.9235341548919678, 0.9166432023048401, 0.964104175567627, 0.8884570002555847, 0.9214538931846619, 0.9119517803192139 ]
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[ 0.9514501094818115, 0.6681867837905884, 0.6591250896453857, 0.669399619102478, 0.6520235538482666, 0.7002628445625305, 0.6888401508331299, 0.7583648562431335, 0.7057037353515625, 0.6752290725708008, 0.549065351486206, 0.6924622058868408, 0.7533226013183594, 0.6568267345428467, 0.6697137355804443, 0.6790229082107544, 0.7410368919372559, 0.6771011352539062, 0.7005671262741089, 0.6755890250205994, 0.6768752336502075, 0.6750693321228027, 0.7048629522323608, 0.9564656615257263, 0.7099287509918213, 0.6823577284812927, 0.9546552896499634, 0.5473604202270508, 0.705767810344696, 0.7156758904457092 ]
[ 0.9611989259719849, 0.7031446099281311, 0.7402323484420776, 0.7475296258926392, 0.7600493431091309, 0.8018688559532166, 0.7737536430358887, 0.8171582221984863, 0.7899850606918335, 0.7747863531112671, 0.6263023614883423, 0.7795512676239014, 0.812023401260376, 0.7496973276138306, 0.7480684518814087, 0.7733733654022217, 0.8167285919189453, 0.7848932147026062, 0.7938736081123352, 0.7670612335205078, 0.7647767066955566, 0.7735575437545776, 0.7929675579071045, 0.9669437408447266, 0.7982058525085449, 0.7813026309013367, 0.9645084142684937, 0.6747673749923706, 0.7937272787094116, 0.7818227410316467 ]
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Dynamically varying the filter size in the scipys ndimage filters
[ "How exactly does the \"reflect\" mode for scipys ndimage filters work?", "Python: calling a function with varying number of arguments", "Difference between output and return value in scipy ndimage filters", "How to remove a string with varying numbers at the end", "How to apply ndimage.generic_filter()", "How to add filters to a query dynamically in Django?", "Function with varying number of For Loops (python)", "ndimage.label() giving \"data type not supported\" error", "Normalize scipy.ndimage.filters.correlate", "What is the difference between imregionalmax() of matlab and scipy.ndimage.filters.maximum_filter", "ndimage missing from scipy", "How can you output a varying argument in Python?", "Porting scipy.ndimage.filters correlate1d from Python to C++ or C#", "How to return a list of numbers from a text file from a varying location", "Python - Store varying number of elements in a list?", "Scipy ndimage median_filter origin", "Dynamically define functions with varying signature", "scipy.ndimage.generic_filter returns Type Error", "numpy.mean on varying row size", "Python write varying-length list to txt file", "Extract Number from Varying String", "Implementing a \"Kurtosis filter\" using scipys generic_filter", "Efficient way to implement simple filter with varying coeffients in Python/Numpy", "Scipys interp1d and infinities", "Getting current element in scipy.ndimage.filters.generic_filter", "how after ndimage.find_object ... color features?", "Python: Dynamically update a dictionary with varying variable \"depth\"", "Reading data file with varying number of columns python", "How to compute a spline value from a set of knots and coefficents given by Scipys SmoothBivariateSpline", "How to create a varying variable name in python" ]
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Align tabs from right to left using ttk.Notebook widget
[ "Is there a way to set tabs of a Notebook below one another?", "Two tabs using ttk notebook, but separate functions for the two?", "TTK Notebook Share data between imported tabs", "Python ttk Object - Not understanding Widget-Specific Options", "Event handler for left-click on Notebook tabs in Tkinter", "Python tkinter ttk.Notebook widget error", "Notebook widget in Tkinter", "Managing tabs in a ttk.Notebook (enabling, disabling, etc.)", "Python Tkinter side notebook tabs", "Cannot see all tabs in ttk.Notebook", "Python Tkinter Notebook widget", "Multiple images in a ttk label widget", "Python can't add canvas to ttk notebook page", "Cannot get LabelFrame widget to display on ttk notebook (python 3.5.1)", "How to have tabs of a ttk Notebook in different rows?", "How to align results left and right at the same time", "Update frame on tab switch in ttk.Notebook", "Ttk on python 2.7", "Multiple frames in a single tab ttk.Notebook", "Changing ttk widget text color", "Get a button to align with tabs in python ttk notebook", "Is there any way to show widget it two different tabs?", "how to align text to the left?", "How to align text to the right in ttk Treeview widget?", "Is there a way to add close buttons to tabs in tkinter.ttk.Notebook?", "Finding the currently selected tab of Ttk Notebook", "How to align checkbutton in ttk to the left side", "Using the ttk (tk 8.5) Notebook widget effectively (scrolling of tabs)", "Change color of \"tab header\" in ttk.Notebook", "How to change the tab of ttk.Notebook" ]
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pybrain: how to print a network (nodes and weights)
[ "Pybrain exporting a network", "Can't run Pybrain tutorial", "Unable to build the correct ffnn on pybrain", "Python/Pybrain: How can I fix weights of a neural network during training?", "How to use PyBrain?", "What is this message when installing Pybrain", "Saving neural network testing outputs in Pybrain", "Prediction data in PyBrain", "Pybrain Text Classification: data and input", "Why can't PyBrain Learn Binary", "Pybrain neural network step transfer function", "Getting output of pybrain prediction as array", "How to load training data in PyBrain?", "Pybrain implementation throwing error", "Pybrain multi dimensional data input", "PyBrain - how to validate my trained network against a test data?", "How to predict on new data using Pybrain?", "installing pybrain", "AttributeError using pyBrain _splitWithPortion - object type changed?", "how to use pybrain weights to predict", "pybrain what is total error and what does it tell us", "Python, Anaconda, pybrain on a Mac", "PyBrain multiple target values", "How to build a neural network with pybrain?", "import CSV with missing data in pybrain sample", "how to give input to a trained and tested PyBrain network and how to get the result", "activation values for all nodes in a PyBrain network", "Pybrain: Custom error/performance functions?", "pybrain poor results", "PyBrain, NFQ customizing Network" ]
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Running Python script in PHP: capture all outputs
[ "Running a Python script from PHP", "Python Script from PHP", "Call a python script from a PHP script", "do not capture before string", "PHP script can't get output from Python script", "Capture keyboard outputs in a different way", "How can I capture the result of a python script in calling python script?", "Caching PHP script outputs on the client side", "Run python script inside php", "Running a PHP script from within Python - Pass value from Python to PHP", "getting data from php script using python", "Run Python script in PHP", "PHP show return from python script", "Run Python script from PHP", "How to call a Python Script from PHP?", "Running Python in php function possible?", "I need to run a python script from php", "Run Python script with PHP", "How to pass an array to php from python script?", "Getting PHP to run a Python script", "How to call python script file under PHP?", "Execute PHP Script in background from another php script", "Error while trying to run PHP script from Python", "capture Python script output", "Can I call python script or function from php", "Running a Python script in the background from a PHP file", "Running a python script from PHP with Apache", "Send command from PHP to running Python script", "Running a Python script on a PHP server", "Capture value from function" ]
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Django Tastypie - Filtering ToManyField resource with URL parameter
[ "Tastypie: Filtering by ToManyField", "Is it possible to sort elements in a ToManyField attribute using TastyPie?", "Django: how to create object with Tastypie", "How to call in instance of Resource in Django Tastypie.?", "How does the get_list tastypie function work?", "Tastypie resource not showing newly created objects (date filtering issue)", "PUT request to django tastypie resource not working", "Tastypie access resource by parameter other than PK", "Django Tastypie returns multiple instances when filtering relationships", "How to do automatic filtering based on the current user with tastypie", "Tastypie - Filtering by related pk", "Using tastypie resource in view", "Tastypie get full resource only works the second time", "Tastypie: How can I fill the resource without database?", "Django TastyPie ToManyField relation complains \"has no data and doesn't allow a null value\" on POST of new item", "How can I make Django-Tastypie override a resource if it already exists?", "How do I install Tastypie for Django?", "ModuleNotFound error in django in Django tastypie web application", "Django Tastypie: Filtering by ForeignKey", "Tastypie get_or_create object", "How to query on attribute of ToManyField with django-tastypie", "Django Tastypie - Resource with object details only", "Advanced Filtering in Tastypie", "Get 404 error when using tastypie filtering", "How to filter ToManyField of django-tastypie by request.user?", "Need to get the current user's id without request object in tastypie resource", "Multiple resource in tastypie", "PUT method not working in django-tastypie?", "Is it possible to request other api in a Tastypie resource?", "How does tastypie handle comlex url?" ]
[ 0.9137822389602661, 0.8755322694778442, 0.8754991888999939, 0.8930729627609253, 0.8569004535675049, 0.8792685270309448, 0.882452666759491, 0.8781065940856934, 0.89494389295578, 0.8831934928894043, 0.8781858682632446, 0.8712123036384583, 0.858218789100647, 0.8671837449073792, 0.8929674625396729, 0.8789833784103394, 0.8699297904968262, 0.8821467757225037, 0.8938732147216797, 0.8452242016792297, 0.9282557964324951, 0.8868151903152466, 0.8687518239021301, 0.8910319805145264, 0.9397008419036865, 0.8748998045921326, 0.8641137480735779, 0.8500924110412598, 0.867484450340271, 0.8592453002929688 ]
[ 0.9252591729164124, 0.892663836479187, 0.8708178997039795, 0.8790937662124634, 0.8510535955429077, 0.8599786162376404, 0.8812359571456909, 0.8803693056106567, 0.8890894651412964, 0.872519314289093, 0.8826879262924194, 0.885811984539032, 0.8518422842025757, 0.8611478209495544, 0.8876068592071533, 0.8630495071411133, 0.8510963320732117, 0.8591103553771973, 0.893747091293335, 0.8572720289230347, 0.9383388757705688, 0.8906635046005249, 0.8775863647460938, 0.870059609413147, 0.9356294870376587, 0.8544185161590576, 0.8744732737541199, 0.8575897216796875, 0.8488680124282837, 0.8361594676971436 ]
[ 0.927251935005188, 0.8825331926345825, 0.869454026222229, 0.8729748725891113, 0.8454158306121826, 0.8693438768386841, 0.8767776489257812, 0.8747740387916565, 0.8901294469833374, 0.862168550491333, 0.8835383653640747, 0.871475100517273, 0.8479505181312561, 0.8556063175201416, 0.8894760608673096, 0.8675221800804138, 0.8448495268821716, 0.8668381571769714, 0.8909323811531067, 0.8425581455230713, 0.9083847999572754, 0.8863118886947632, 0.8716672658920288, 0.8730681538581848, 0.9251148700714111, 0.8517181873321533, 0.8808488845825195, 0.8566602468490601, 0.8671385049819946, 0.8546704053878784 ]
[ 0.8674401044845581, 0.770958423614502, 0.7497718334197998, 0.7965419292449951, 0.6988292932510376, 0.7515538930892944, 0.7596098184585571, 0.7981586456298828, 0.7681946754455566, 0.7711866497993469, 0.7745180130004883, 0.8100253939628601, 0.6925075054168701, 0.7047463655471802, 0.7841156721115112, 0.7868640422821045, 0.6674591302871704, 0.6928633451461792, 0.8564690351486206, 0.7495482563972473, 0.8715571165084839, 0.8300572037696838, 0.761066198348999, 0.8058761954307556, 0.8977364301681519, 0.7544800639152527, 0.747596800327301, 0.7154359221458435, 0.7574783563613892, 0.7675907611846924 ]
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scipy linkage format
[ "what is the meaning of the return values of the scipy.cluster.hierarchy.linkage?", "Save scipy object to file", "Python - Scipy error", "Newick tree representation to scipy.cluster.hierarchy linkage matrix format", "Python (scipy) import time from text file", "Performing a single linkage like operation on python", "Scipy won't import in python program", "Use Distance Matrix in scipy.cluster.hierarchy.linkage()?", "SciPy medfilt wrong result", "C# Nmath to Python SciPy", "How to compute cluster assignments from linkage/distance matrices in scipy in Python?", "How to make a scipy array from custom data format?", "caffe installation : opencv libpng16.so.16 linkage issues", "How can I list out all current clusters when using a single linkage algorithm?", "What is `scipy.i`?", "How to start using `scipy`", "Meijer G-function in Python and scipy", "Python linkage to SQL databases", "Distance calculation in hierarchical clustering \"complete\" linkage", "Odd \"inheritance\" of linkage between variables", "Python: Single linkage clustering algorithm", "Scipy's cut_tree() doesn't return requested number of clusters and the linkage matrices obtained with scipy and fastcluster do not match", "What should be the input of the linkage function in scipy?", "Inatalling numpy and scipy", "How to import Scipy and Numpy in Python?", "How to check the version of scipy", "How to check BLAS/LAPACK linkage in NumPy and SciPy?", "sklearn agglomerative clustering linkage matrix", "How to plot HAC result as scatter plot (scipy linkage)", "Python Scipy Error" ]
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[ 0.8708178997039795, 0.8636677265167236, 0.8801381587982178, 0.885556697845459, 0.8418236970901489, 0.872726321220398, 0.8559195399284363, 0.8696930408477783, 0.8689344525337219, 0.8521695137023926, 0.8642712831497192, 0.8684972524642944, 0.8470946550369263, 0.8368383646011353, 0.8662852048873901, 0.8804266452789307, 0.8528702259063721, 0.8822104930877686, 0.8379501700401306, 0.8484143018722534, 0.8822799921035767, 0.8476342558860779, 0.8942098617553711, 0.8732439875602722, 0.8447247743606567, 0.888616144657135, 0.8751177191734314, 0.884060263633728, 0.8763107061386108, 0.8817695379257202 ]
[ 0.8658878207206726, 0.8659719228744507, 0.8707017302513123, 0.8938843011856079, 0.8433703184127808, 0.8705271482467651, 0.8482221961021423, 0.8631198406219482, 0.8590430021286011, 0.8670653700828552, 0.8501936793327332, 0.8594033718109131, 0.8169474005699158, 0.8264422416687012, 0.8544884920120239, 0.8584526181221008, 0.8479553461074829, 0.8684959411621094, 0.8481533527374268, 0.8443975448608398, 0.8693954348564148, 0.8473743200302124, 0.8798441290855408, 0.8626383543014526, 0.8323303461074829, 0.8623284101486206, 0.8583394885063171, 0.874881386756897, 0.8558226823806763, 0.880415678024292 ]
[ 0.7851202487945557, 0.6703916788101196, 0.6476552486419678, 0.7780624032020569, 0.598740816116333, 0.7182761430740356, 0.6191949844360352, 0.7839491367340088, 0.5810463428497314, 0.6615859270095825, 0.7508493065834045, 0.7071386575698853, 0.5625007152557373, 0.6816693544387817, 0.6624577045440674, 0.676673412322998, 0.6155385375022888, 0.6844249963760376, 0.6897575259208679, 0.6364201903343201, 0.7228177785873413, 0.7038646936416626, 0.8605563640594482, 0.6465835571289062, 0.650449275970459, 0.6466047763824463, 0.7764843702316284, 0.6934585571289062, 0.7256771922111511, 0.664624810218811 ]
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python: import module from different file directory, with folder names having spaces
[ "How do you import a file in python with spaces in the name?", "How to get a list of file names in a directory in Python", "How to import module from folder", "How to print without spaces in python 3?", "Python - line split with spaces?", "How to add X number of spaces to a string", "Python extract folder from zip file with spaces in name", "Folder name as one of the column names", "how to import a module from a different directory in python?", "How to print the spaces between variables?", "Python folder names in the directory", "How to import python module from different directory, same level, but different folder", "How to change folder names in python?", "How to call a method with spaces in the name?", "How to set the spaces in a string format in Python 3", "How to split string where spaces are?", "re.split with spaces in python", "Do not encrpyt spaces", "Python Split string by 1 and 3 spaces", "How can escape spaces in directory names in a MANIFEST.in files?", "remove the spaces", "Create Python list split on spaces", "Spaces inside a list", "Python - ccsselect with spaces", "pyroot folder of a python module", "Python: Use spaces in a function name?", "How to import from both a python file in a folder and a file on the same directory being called?", "Python: split by (different) n spaces", "Python - spaces", "How do I convert a list into a string with spaces in Python?" ]
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[ 0.908348798751831, 0.8700143098831177, 0.8891870379447937, 0.8569608926773071, 0.8763579726219177, 0.8436972498893738, 0.9034020304679871, 0.8461648225784302, 0.9104028940200806, 0.848731279373169, 0.8882954120635986, 0.9096232652664185, 0.8635575771331787, 0.8640302419662476, 0.8630740642547607, 0.8338361382484436, 0.8810575604438782, 0.8303402066230774, 0.856818675994873, 0.8644961714744568, 0.8393926024436951, 0.8693028688430786, 0.8405869007110596, 0.8936361074447632, 0.8588542938232422, 0.9048081636428833, 0.8865144848823547, 0.8930584192276001, 0.8740385174751282, 0.8413663506507874 ]
[ 0.855888843536377, 0.6482992172241211, 0.8232792615890503, 0.5796306133270264, 0.6011878848075867, 0.5436739921569824, 0.7188640236854553, 0.6081011295318604, 0.8537019491195679, 0.6230881214141846, 0.7545171976089478, 0.8504037857055664, 0.7366315126419067, 0.6533784866333008, 0.599016547203064, 0.5655561685562134, 0.5872141122817993, 0.5721062421798706, 0.5593911409378052, 0.6851462125778198, 0.5701406002044678, 0.5749858617782593, 0.5850317478179932, 0.6050777435302734, 0.6579134464263916, 0.6928267478942871, 0.8133178949356079, 0.5892060995101929, 0.6637448668479919, 0.5989874005317688 ]
[ 0.8404470086097717, 0.5955075025558472, 0.7796097993850708, 0.541367769241333, 0.5567991733551025, 0.43695566058158875, 0.6847974061965942, 0.511224091053009, 0.816501796245575, 0.5456076860427856, 0.6937020421028137, 0.7965139150619507, 0.6967519521713257, 0.556756854057312, 0.5404840707778931, 0.47881025075912476, 0.5357354879379272, 0.4765893220901489, 0.4984937310218811, 0.6344491243362427, 0.49464988708496094, 0.5023413300514221, 0.507109522819519, 0.5218180418014526, 0.5769879221916199, 0.6440892219543457, 0.7656932473182678, 0.5502314567565918, 0.629753828048706, 0.5304833650588989 ]
[ 0.8613646626472473, 0.6529256105422974, 0.8034688234329224, 0.615675151348114, 0.6278822422027588, 0.5686169862747192, 0.734515368938446, 0.6109641790390015, 0.8365680575370789, 0.6478217840194702, 0.7269043922424316, 0.825468897819519, 0.7383047342300415, 0.6867738962173462, 0.6258962154388428, 0.6028668880462646, 0.6195238828659058, 0.6015862822532654, 0.5813600420951843, 0.7046512365341187, 0.5894249677658081, 0.604055643081665, 0.6058471202850342, 0.6168825626373291, 0.6461249589920044, 0.7164669036865234, 0.7919315099716187, 0.6283613443374634, 0.6681936979293823, 0.6430225372314453 ]
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multiprocessing.Pool: calling helper functions when using apply_async's callback option
[ "python multiprocessing apply_async only uses one process", "Using apply_async with callback function for a pool of processes", "Python multiprocessing Pool.apply_async with shared variables (Value)", "multiprocessing.Pool: When to use apply, apply_async or map?", "Multiprocessing Pool: Python", "Async ping with multiprocessing.pool", "multiprocessing.Pool.apply_async on Windows", "Multiprocessing pool apply_async", "how do I use key word arguments with python multiprocessing pool apply_async", "how does the callback function work in python multiprocessing map_async", "How to use multiprocessing in Python using Pool", "apply_async callback function not being called", "Python: Working with Pool, apply_async and join", "Why would it throws \"'module' object has no attribute XXX\" error when I call on apply_async from multiprocessing.Pool?", "Multiprocessing in Python: how to implement a loop over \"apply_async\" as \"map_async\" using a callback function", "How to get the result of multiprocessing.Pool.apply_async", "Multiprocessing apply_async() not working on Ubuntu", "How to use pool-specific functions while multiprocessing with python?", "Multiprocessing pool 'apply_async' only seems to call function once", "Python multiprocessing pool async_apply callback not working when passing arguments", "How to pass multiprocessing.Pool instance to apply_async callback function?", "Can I implement a counter for multiprocessing using pool callback?", "Not able to use pool.apply_async()", "pool.apply_async with multiple parameters", "error_callback in multiprocessing.Pool apply_async in Python 2?", "Who runs the callback when using apply_async method of a multiprocessing pool?", "Python Multiprocessing apply_async Only Using One Process", "What happens when I multiprocessing.pool.apply_async more times than I have processors", "multiprocessing.Pool.map_async doesn't seem to... do anything at all?", "Can I pass a method to apply_async or map in python multiprocessing?" ]
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[ 0.8960164785385132, 0.9408842325210571, 0.9081361293792725, 0.9209239482879639, 0.8734275698661804, 0.9016582369804382, 0.9256740808486938, 0.9279240369796753, 0.8987529277801514, 0.8944566249847412, 0.8710759878158569, 0.9019718170166016, 0.9062881469726562, 0.8841234445571899, 0.9076696038246155, 0.9149924516677856, 0.8885941505432129, 0.8707119226455688, 0.9238858819007874, 0.928451418876648, 0.9315606355667114, 0.8597654104232788, 0.8930494785308838, 0.915796160697937, 0.9227456450462341, 0.9125765562057495, 0.9059478044509888, 0.8860800266265869, 0.8731908798217773, 0.8917316198348999 ]
[ 0.8144330978393555, 0.9133292436599731, 0.8603053092956543, 0.8984373807907104, 0.7731412649154663, 0.8211746215820312, 0.871356725692749, 0.9088918566703796, 0.8734276294708252, 0.8443374633789062, 0.7648602724075317, 0.8213154077529907, 0.844239354133606, 0.8631253242492676, 0.8903384804725647, 0.8796067237854004, 0.8376729488372803, 0.8497551679611206, 0.9085683822631836, 0.9211934804916382, 0.9531874656677246, 0.8325031995773315, 0.8438502550125122, 0.8497471809387207, 0.9089547395706177, 0.9266260862350464, 0.8236198425292969, 0.8451222777366638, 0.8524287343025208, 0.8684847354888916 ]
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How do I split a huge text file in python
[ "How can i split a huge txt file with the help of python", "Get data from a huge text file to replace data in another huge text file, efficiently (Python)", "Reading a huge .csv file", "How to split a huge csv file based on content of first column?", "Check if huge list in python has changed", "working with HUGE lists in python", "How to Parse a huge xml file (on the go) using Python", "Django, model split when a single model is getting huge?", "How to process huge CSV file into python?", "Python: How to read huge text file into memory", "Reading file with huge number of columns in python", "How to sort huge files with Python?", "Iterparsing a HUGE xml file using python but getting a error", "Python 2.7. write following 4 lines out from a huge file", "What's the fastest way to find unique lines from huge file A as compared to huge file B using python?", "Process a huge .csv file in python", "Why is there such a huge performance different between the same Python/Java code?", "I would like to split a huge file into many number of files with the header in all split files. Using python", "Huge Django project", "Huge collections in Python", "Python - Small Change to a Huge File", "Read a huge text document in python", "Huge error message when using .config", "Python parsing a huge file", "When a property of a model is a huge text", "Reading Huge File in Python", "Display a huge file on GUI", "Split a huge CSV in three random files in Python", "Cannot run huge Python program", "Fast way to check if a string is in a huge text file" ]
[ 0.9781379699707031, 0.913510262966156, 0.8717256784439087, 0.9105374813079834, 0.8588041663169861, 0.8699706196784973, 0.895188570022583, 0.8548110723495483, 0.9055918455123901, 0.9204052090644836, 0.8952585458755493, 0.9121012687683105, 0.8748321533203125, 0.8897708058357239, 0.8659387230873108, 0.9103809595108032, 0.8245511054992676, 0.9142541885375977, 0.8169577717781067, 0.8594434261322021, 0.8880777359008789, 0.9186794757843018, 0.8240603804588318, 0.895197868347168, 0.8478976488113403, 0.9183743000030518, 0.8835081458091736, 0.9030389785766602, 0.8561599254608154, 0.8960443735122681 ]
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Jupyter Notebook: Import .ipynb file and access it's method in other .ipynb file giving error
[ "ipynb import another ipynb file", "How to check if you are in a Jupyter notebook", "How can I upload a .ipynb file to a Notebook Cloud instance?", "Jupyter Notebook Server Doesn't Start", "Jupyter Notebook encoding error?", "How to input data within Jupyter Notebook", "trying to install Jupyter notebook", "Jupyter notebook name is not defined", "Jupyter Notebook - How to use a data file for code", "Jupyter: can't create new notebook?", "Copy data from Jupyter notebook", "How to watch variable of a .ipynb script with Jupyter", "How to execute a * .PY file from a * .IPYNB file on the Jupyter notebook?", "Jupyter notebook wrong path", "Jupyter notebook doesn't execute", "IPython nbconvert error (ipynb to pdf)", "change index number in jupyter notebook", "How to do versioning of .ipynb by removing output and converting?", "Print multiple line string in Jupyter notebook", "Including ipynb files in sphinx index.rst when they are located in a subdirectory", "Running Jupyter notebook with python 3", "Stop SimpleHttpSever in jupyter notebook", "Can %matplotlib notebook only be bused in Jupyter?", "Jupyter IPYNB Problems", "Is there a way to create a .ipynb from a .py file command line?", "How to run an .ipynb Jupyter Notebook from terminal?", "How to connect to a remote kernel in a ipynb file?", "Why does jupyter notebook append long list of ^@ symbols to end of ipynb file?", "Jupyter notebook display code only", "How to run Jupyter Notebook" ]
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[ 0.9084455966949463, 0.8625507354736328, 0.8751639723777771, 0.870199978351593, 0.8738958835601807, 0.8862981200218201, 0.8781883716583252, 0.8577739000320435, 0.88399738073349, 0.8668662309646606, 0.8893512487411499, 0.876989483833313, 0.8973716497421265, 0.8907163143157959, 0.8848784565925598, 0.8912215232849121, 0.8455182313919067, 0.8562780618667603, 0.8694027066230774, 0.8748809099197388, 0.8763077259063721, 0.8550878763198853, 0.8405942916870117, 0.8871259689331055, 0.8609312772750854, 0.8864740133285522, 0.8630121946334839, 0.8613651990890503, 0.8627750873565674, 0.8742457628250122 ]
[ 0.897225022315979, 0.8337407112121582, 0.8584869503974915, 0.8427224159240723, 0.8680394887924194, 0.8513395190238953, 0.8380377292633057, 0.8545440435409546, 0.8496372699737549, 0.8576228618621826, 0.8443149328231812, 0.8615350723266602, 0.8844842910766602, 0.8740950226783752, 0.8526530265808105, 0.8669099807739258, 0.8376081585884094, 0.8412551879882812, 0.8298622369766235, 0.8384816646575928, 0.84355628490448, 0.8293873071670532, 0.8469074964523315, 0.8828026056289673, 0.8501120805740356, 0.8621140718460083, 0.8595898151397705, 0.859439492225647, 0.8309603929519653, 0.8344117403030396 ]
[ 0.8262495994567871, 0.6097334027290344, 0.6978123188018799, 0.5375654697418213, 0.61542809009552, 0.6772221326828003, 0.5957022905349731, 0.717673659324646, 0.7338510751724243, 0.5804522037506104, 0.6894829869270325, 0.7139458656311035, 0.8099673986434937, 0.6499147415161133, 0.6396504640579224, 0.670888364315033, 0.5926973819732666, 0.6540493369102478, 0.58056640625, 0.6472316980361938, 0.6471796035766602, 0.5184488296508789, 0.6340172290802002, 0.757881760597229, 0.7378920316696167, 0.729135274887085, 0.6167739629745483, 0.6538705825805664, 0.584983766078949, 0.6423062086105347 ]
[ 0.7950865626335144, 0.550784707069397, 0.6277439594268799, 0.4410436749458313, 0.5234348177909851, 0.5930894613265991, 0.5452141165733337, 0.6400172710418701, 0.6609902381896973, 0.5131420493125916, 0.6095423698425293, 0.6511726379394531, 0.754605770111084, 0.5767916440963745, 0.5668919086456299, 0.5855407118797302, 0.49503758549690247, 0.5818712711334229, 0.47490471601486206, 0.5587888360023499, 0.5734478235244751, 0.40447336435317993, 0.5581871271133423, 0.7190450429916382, 0.6648373603820801, 0.68446946144104, 0.541179895401001, 0.5697618126869202, 0.4740772843360901, 0.5803157091140747 ]
[ 0.8254714608192444, 0.6049662828445435, 0.7151359915733337, 0.530626654624939, 0.5980085730552673, 0.6515399217605591, 0.5860254764556885, 0.6987595558166504, 0.7045242786407471, 0.5853424072265625, 0.6738079786300659, 0.7005747556686401, 0.7934042811393738, 0.6331731081008911, 0.621393620967865, 0.6554298996925354, 0.5833128690719604, 0.659838080406189, 0.5713708996772766, 0.650464653968811, 0.6247113943099976, 0.5133925676345825, 0.6339757442474365, 0.744810938835144, 0.734102189540863, 0.7327521443367004, 0.6521973609924316, 0.6447165608406067, 0.5625128149986267, 0.631718635559082 ]
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Converting OHLC stock data into a different timeframe with python and pandas
[ "Pandas OHLC aggregation on OHLC data", "Python How to retrieve a stock's last current stock price from the dictionary and put it into a variable?", "How to pull stock data for every stock on a given exchange", "Sum of precipitation per Timeframe in pandas DataFrame", "Pandas Resampling Hourly OHLC to Daily OHLC", "Pandas: Get ohlc data for every row", "Charting Candlestick_OHLC one minute bars with Pandas and Matplotlib", "How to iterate DataFrame column of stock symbols and add a column with the stock price?", "Converting data to missing in pandas", "Fill NaN value to continuous time series data where some timeframe were missing", "convert or parse milliseconds to timeframe [Python 3]", "Wikipedia API: Get revisions by timeframe", "Extract data from json stock file using python", "Trying to use pandas to load stock data, but not working", "Pandas resample OHLC", "grep logfile for a specific timeframe", "Pandas Dataframe Resample OHLC has wrong open price", "Pandas calculate % change across rolling timeframe", "Modify OHLC resample code as per deprecated warning", "Display csv with candlestick_ohlc", "Pandas converting date with string in", "converting daily stock data to weekly-based via pandas in Python", "How do you use tweepy to search for tweets within a given timeframe?", "Resampling OHLC tick data and filling gaps in Pandas", "Converting date/time in Pandas", "Calculate stock returns in pandas DataFrame", "how to plot ohlc candlestick with datetime in matplotlib?", "How to save stock data to csv file using python", "Pandas concat and OHLC issue", "Select 7, 14, 20, 50, 200 day prices from OHLC data in SQL database." ]
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How to use valgrind with python?
[ "Is it normal that running python under valgrind shows many errors with memory?", "What is the performance overhead of using a Python ORM to query a DB of objects?", "Valgrind on Python2.4 : Huge amount of memory 'possibly lost'", "How do I use ReverseProxyProtocol", "Use of class typenames in python", "how to use python's any", "How to use SHGetFileInfo with SHGFI_PIDL in python", "Should I use a class? (Python)", "How can I use ñ or Ñ?", "Which Python should I use?", "How to use dorpi5 or dop853 in Python", "intertools.combinations - how to use?", "When to use \"while\" or \"for\" in Python", "How to use \"While()\" in python", "How to use TideSDK openFolderChooseDialog", "Having problems profiling memory in Python program using Valgrind", "Getting Valgrind to detect memory leaks from C++ program called by Python Script:", "How to use a % after %s in python?", "What is \"__docformat__\" used for in Python?", "can python use BlockInput()?", "What is the use of 0x8915?", "Use of . in python?", "How can we use 'or' with '*' in python?", "When to use \"with\" in python", "How to use smartystreets with python", "What can be the use of SymbolType in Python?", "Use of `->` in Python?", "I want to use out_file on Python", "When to use == and when to use is?", "What should I use for this?" ]
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How to change the value of a module variable from within an object of another module?
[ "How to change a module variable from another module?", "How should I import another python file within a module", "Python module and __all__", "re module in Python", "How to change module of a class in Python?", "Import module, that import another module. Python", "Import a variable in a function in a class in one module to another", "Python module to shellquote/unshellquote?", "How to pass python object from one file module to another file module?", "Import a class variable from another module", "python get module variable by name", "Python: Is the module of a class a class itself?", "Python Import file module into another", "How to change a Python module name?", "python _2or3 module?", "Dendropy interpop module python", "Run a module when module name is in a variable", "Python : how to import module in other module", "python : import some_module through other_module", "Python import from module variable", "Is there a webkit2 module for python?", "How to get module variable in function from another module?", "Mosso Python Module", "Python module, class, method basicks", "import module from string variable", "How to change variable value in other module?", "Python Module for SMBIOS", "Import Python Module to Class Variable", "fillplots module in Python", "How to change a variable in a class in a module?" ]
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Passing Python slice syntax around to functions
[ "Slice syntax to object", "Retrieve length of slice from slice object in Python", "Use of slice(x,y) function in python", "Slice every string in list in Python", "Why can I update a list slice but not a string slice in python?", "What happens when passing a slice as an argument?", "List slice python", "Passing list Between Functions", "Slice syntax for python 2.7, reverse a part of a list", "Python: Not able to slice string", "python create slice object from string", "How to slice the file path in python", "Python string slice", "How to slice a string when the slice is an index value", "Python slice how-to, I know the Python slice but how can I use built-in slice object for it?", "Python list slice", "Problem with list slice syntax in python", "slice a string in python list", "python slice set in list", "Parsing slice information from a slice object?", "How to Slice A List by Passing A List or A Tuple Returned By A Function in Python?", "Passing a list between functions Python", "What does the slice() function do in Python?", "Python - slice a list of list", "Extended slice syntax in Python", "Passing class between functions", "How to store functions in a slice in Go", "python passing list between functions", "Passing Data between functions" ]
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Which of the 4 ways to call super() in Python 3 to use?
[ "what is super(type) in python?", "Why Does This Usage of a Class Work in Python?", "Python super usage example", "JSON usage in Python", "Correct usage of scipy.interpolate.RegularGridInterpolator", "Usage of super in singleton", "extending class in python 2.7, usage of super()", "Python: Why can't I use `super` on a class?", "What does 'super' do in Python?", "Using super with a class method", "How to call super() in Python 3.0?", "Usage of for and if in Python", "Usage of for loop in python", "Python's super() function", "Class usage in Python", "Use of super () in python", "Python super class error", "Python usage: [--summaryfile] file [file ...]", "what does <class 'super'>class do in python?", "Own string usage", "Usage of the function main()?", "Usage of 'and' in Python", "super() usage in multiple inheritance in python", "-1 usage python", "What's the usage of a a def in a function?", "In python, what is super(classItSelf) doing?", "How to call super method from grandchild class?", "self.data usage in python", "Is this correct usage of super in python?", "Correct usage of \\D in python?" ]
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[ 0.8766751289367676, 0.8472785949707031, 0.8757911920547485, 0.8201253414154053, 0.8189594745635986, 0.8482154607772827, 0.8818802237510681, 0.8812428116798401, 0.90107262134552, 0.8641659021377563, 0.9486919641494751, 0.8441658020019531, 0.8421984910964966, 0.89666348695755, 0.8365928530693054, 0.8960260152816772, 0.8636072874069214, 0.8287418484687805, 0.8821724653244019, 0.7914921045303345, 0.8395164012908936, 0.8426673412322998, 0.8952623605728149, 0.7958102226257324, 0.8197093605995178, 0.8717830777168274, 0.8778610229492188, 0.82033371925354, 0.9135406017303467, 0.8553858399391174 ]
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Way to play video files in Tkinter?
[ "Play video on a python GUI", "python video library", "Python Tkinter scrollbox", "Python file I/O with Tkinter", "How to play a video clip from python?", "python reading a video", "Display an OpenCV video in tkinter using multiprocessing", "How to play a video being downloaded as if it was a stream?", "Video created with ffmpeg won't play in video player", "Python: Play Video file from a Buffer", "python Can't change start video", "How to play video INSIDE bash", "Adding a gap between widgets", "Play Different Video Files Depending On Value of a Variable At Runtime", "Automatically play video on Mac", "How to positionate in Tkinter?", "Not able to play video in opencv (Python 2.7)", "Tkinter: one or more mainloops?", "Video output within Tkinter?", "Play Again Button Tkinter Python 3", "How to open a video file in python 2.7?", "Tkinter Class method", "how to save <httpfile> of video in python server", "about Tkinter in python", "Is there a way to make a video with python?", "Is this file a video (Python)?", "python - how to have video file(data) into list?", "How to join two video files using Python?", "Python and Tkinter", "How to stream video from different files?" ]
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Python: Unable to Render Tex in Matplotlib
[ "TeX in matplotlib on Mac OS X and TeX Live", "Uniform spacing with Matplotlib and TeX", "Export a tex file file from python script: \"TypeError: a float is required\"", "Creating images of mathematical expressions from TeX, using matplotlib", "using the symbol font for Greek symbols in TeX via matplotlib", "quote string for TeX input", "matplotlib tex label adds/removes whitespace", "Disable tex interpreter in matplotlib", "Formatting python output for tex math mode?", "Generate TeX/LaTeX file and compile both in Python", "Putting newline in matplotlib label with TeX in Python?", "Unable to install matplotlib", "Unable to display data using matplotlib", "Jupyter (Python): Display .tex tables from .txt files", "Regex and python: substituting $$ with \\[ and \\] in a TeX document", "Python: Document results and figures into tex document", "Align TeX equations in matplotlib", "Python: how to input python-code part like \\input in Tex?", "replace some tokens(strings) from a tex file with values from a dictionary in python?", "TeX 1.8 - Invalid Syntax", "How to compile TeX file from Python", "matplotlib: space between point and decimal digits in TeX mode", "Bash or Python : Append and prepend a string recursively in all .tex files", "django unable to render form", "Does anyone know a non-TeX equivalent for TikZ?", "Adding text into .tex file with python", "TeX rendering, curly braces, and string formatting syntax in matplotlib", "Parsing Tex using python re library", "Tex markup, how to render it in Html with Python?", "How do I check from within python whether LaTeX and TeX Live are installed on a computer?" ]
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[ 0.8393662571907043, 0.7193056344985962, 0.7396327257156372, 0.760461151599884, 0.7526955604553223, 0.5737618207931519, 0.7246333360671997, 0.7912250757217407, 0.703376293182373, 0.681552529335022, 0.7642502188682556, 0.6826617121696472, 0.7685392498970032, 0.7006111145019531, 0.5681425333023071, 0.7204490900039673, 0.7589471936225891, 0.626642107963562, 0.6029782295227051, 0.6172603368759155, 0.7505544424057007, 0.7084044218063354, 0.5618962049484253, 0.6147526502609253, 0.6147838234901428, 0.6917388439178467, 0.8388012051582336, 0.6392693519592285, 0.7959996461868286, 0.6333064436912537 ]
[ 0.8071786761283875, 0.660085916519165, 0.6769173741340637, 0.7254701256752014, 0.7082358598709106, 0.4995865821838379, 0.6427936553955078, 0.7531830668449402, 0.658454179763794, 0.641407310962677, 0.7028416395187378, 0.65186607837677, 0.7315212488174438, 0.6378234624862671, 0.49563902616500854, 0.6770042777061462, 0.7226871252059937, 0.560949444770813, 0.5245037078857422, 0.5215626955032349, 0.6990491151809692, 0.6299188137054443, 0.4751865565776825, 0.5579782724380493, 0.5382494926452637, 0.6337687969207764, 0.7992627620697021, 0.5974625945091248, 0.7679111361503601, 0.5678881406784058 ]
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Creating a tree from self referential tables in SQLalchemy
[ "Deleting from self-referential inherited objects does not cascade in SQLAlchemy-SQLite", "Self-referential relations on composite keys using sqlalchemy", "SQLAlchemy - Self referential Many-to-many relationship with extra column", "SQLAlchemy: about self referential relation (error: no attribute '_sa_instance_state')", "Django self-referential class for most similar car", "Django self-referential relationship?", "What do I do when I need a self referential dictionary?", "Python self referential dictionary with class", "Creating self-referential tables with polymorphism in SQLALchemy", "Django two self-referential foreign key", "SQLAlchemy eagerly/joined loading self referential one-to-one relationship", "SQLAlchemy relationship with self-referential secondary", "Self-referential class: How to get jerarchical structure of employees in a company?", "SQLAlchemy self-referential parent_id dilemna", "Delete everything from table based on it's referential data", "Multiple self referential relationships in SQLAlchemy", "Self-referential database with extra fields in sqlalchemy", "sqlalchemy create tables", "SQLAlchemy - Mapping self-referential relationship as one to many (declarative form)", "Django self-referential foreign key", "Self-referential tables with polymorphism in SQLAlchemy", "Why does locals() return a strange self referential list?", "Pythonic way to walk a self-referential dictionary", "Using SQLAlchemy with multiple self-referential foreign keys", "Django: self referential foreign key with choice list", "django delete self and not a self referential entity", "Polymorphic self referential foreign key in sqlalchemy", "Django getting related items in self-referential ManyToManyField in view", "Sqlalchemy db.create_all() not creating tables", "Creating self-referential keys in SQLAlchemy" ]
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Add text to existing PDF document in Python
[ "Add text to Existing PDF using Python", "How to include page in PDF in PDF document in Python", "How to create a title page for a PDF document created using matplotlib", "django-easy_pdf display pdf number", "Python PDF library", "How do I create a simple pdf file in python?", "pdf file with python", "Read PDF in Python and convert to text in PDF", "Add in-document link to PDF", "python pdf line by line", "read PDF file as text using Python", "print a pdf file in python", "Find the field names of inputtable form fields in a PDF document?", "Python to read pdf files", "Create Text Document (Python)", "Extract text from PDF", "append page to existing pdf file using python (and matplotlib?)", "generate pdf from text file in python", "create pdf from python", "parse tables from a PDF document", "Use PDF on python code", "An efficient way to convert document to pdf format", "Convert text file into pdf", "convert pdf to text file in python", "Python - Download pdf from (non .pdf) url", "How to extract text from a PDF file in Python?", "Output a Document (preferably a PDF) from Python", "How to create PDF files in Python", "How to add image to PDF file in Python?", "How can I convert pdf response to pdf file?" ]
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