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sort list `lst` based on each element's number of occurrences | python How do you sort list by occurrence with out removing elements from the list? | sorted(lst, key=lambda x: (-1 * c[x], lst.index(x))) | 42,394,627 |
Get the value with the maximum length in each column in array `foo` | Find max length of each column in a list of lists | [max(len(str(x)) for x in line) for line in zip(*foo)] | 6,018,916 |
get the count of each unique value in column `Country` of dataframe `df` and store in column `Sum of Accidents` | Count the number of Occurrence of Values based on another column | df.Country.value_counts().reset_index(name='Sum of Accidents') | 39,607,540 |
calculat the difference between each row and the row previous to it in dataframe `data` | Calculating difference between two rows in Python / Pandas | data.set_index('Date').diff() | 13,114,512 |
append values `[3, 4]` to a set `a` | python: append values to a set | a.update([3, 4]) | 3,392,354 |
set every two-stride far element to -1 starting from second element in array `a` | How can I get an array of alternating values in python? | a[1::2] = -1 | 7,154,739 |
Get rank of rows from highest to lowest of dataframe `df`, grouped by value in column `group`, according to value in column `value` | Faster way to rank rows in subgroups in pandas dataframe | df.groupby('group')['value'].rank(ascending=False) | 26,720,916 |
convert js date object 'Tue, 22 Nov 2011 06:00:00 GMT' to python datetime | Js Date object to python datetime | datetime.strptime('Tue, 22 Nov 2011 06:00:00 GMT', '%a, %d %b %Y %H:%M:%S %Z') | 8,153,631 |
Convert a binary value '1633837924' to string | Python: Converting from binary to String | struct.pack('<I', 1633837924) | 33,769,531 |
append string `foo` to list `list` | Inserting a string into a list without getting split into characters | list.append('foo') | 8,243,188 |
insert string `foo` at position `0` of list `list` | Inserting a string into a list without getting split into characters | list.insert(0, 'foo') | 8,243,188 |
convert keys in dictionary `thedict` into case insensitive | Case insensitive dictionary search with Python | theset = set(k.lower() for k in thedict) | 3,296,499 |
pad 'dog' up to a length of 5 characters with 'x' | How to pad with n characters in Python | """{s:{c}^{n}}""".format(s='dog', n=5, c='x') | 4,008,546 |
check if type of variable `s` is a string | How to check if type of a variable is string? | isinstance(s, str) | 4,843,173 |
check if type of a variable `s` is string | How to check if type of a variable is string? | isinstance(s, str) | 4,843,173 |
Convert list of dictionaries `L` into a flat dictionary | How do I merge a list of dicts into a single dict? | dict(pair for d in L for pair in list(d.items())) | 3,494,906 |
merge a list of dictionaries in list `L` into a single dict | How do I merge a list of dicts into a single dict? | {k: v for d in L for k, v in list(d.items())} | 3,494,906 |
sort a pandas data frame according to column `Peak` in ascending and `Weeks` in descending order | How to sort a Pandas DataFrame according to multiple criteria? | df.sort_values(['Peak', 'Weeks'], ascending=[True, False], inplace=True) | 13,636,592 |
sort a pandas data frame by column `Peak` in ascending and `Weeks` in descending order | How to sort a Pandas DataFrame according to multiple criteria? | df.sort(['Peak', 'Weeks'], ascending=[True, False], inplace=True) | 13,636,592 |
run the code contained in string "print('Hello')" | Running Python code contained in a string | eval("print('Hello')") | 1,015,142 |
creating a list of dictionaries [{'A': 1, 'C': 4, 'B': 2, 'D': 4}, {'A': 1, 'C': 4, 'B': 1, 'D': 5}] | Creating a list of dictionaries in python | [{'A': 1, 'C': 4, 'B': 2, 'D': 4}, {'A': 1, 'C': 4, 'B': 1, 'D': 5}] | 35,883,459 |
null | Creating a list of dictionaries in python | [{'A': 1, 'C': 4, 'B': 2, 'D': 4}, {'A': 1, 'C': 4, 'B': 1, 'D': 5}] | 35,883,459 |
get all possible combination of items from 2-dimensional list `a` | how to get all possible combination of items from 2-dimensional list in python? | list(itertools.product(*a)) | 8,249,836 |
Get sum of values of columns 'Y1961', 'Y1962', 'Y1963' after group by on columns "Country" and "Item_code" in dataframe `df`. | Pandas sum by groupby, but exclude certain columns | df.groupby(['Country', 'Item_Code'])[['Y1961', 'Y1962', 'Y1963']].sum() | 32,751,229 |
create list `done` containing permutations of each element in list `[a, b, c, d]` with variable `x` as tuples | Python turning a list into a list of tuples | done = [(el, x) for el in [a, b, c, d]] | 9,962,293 |
remove Nan values from array `x` | Removing nan values from an array | x = x[numpy.logical_not(numpy.isnan(x))] | 11,620,914 |
remove first directory from path '/First/Second/Third/Fourth/Fifth' | Removing the first folder in a path | os.path.join(*x.split(os.path.sep)[2:]) | 26,724,275 |
Replace `;` with `:` in a string `line` | Replacing instances of a character in a string | line = line.replace(';', ':') | 12,723,751 |
call bash command 'tar c my_dir | md5sum' with pipe | Python - How to call bash commands with pipe? | subprocess.call('tar c my_dir | md5sum', shell=True) | 7,323,859 |
Convert a hex string `437c2123 ` according to ascii value. | hex string to character in python | """437c2123""".decode('hex') | 10,618,586 |
Get a list of all fields in class `User` that are marked `required` | Get required fields from Document in mongoengine? | [k for k, v in User._fields.items() if v.required] | 8,586,738 |
remove column by index `[:, 0:2]` in dataframe `df` | Pandas remove column by index | df = df.ix[:, 0:2] | 19,973,489 |
change a string of integers `x` separated by spaces to a list of int | Change a string of integers separated by spaces to a list of int | x = map(int, x.split()) | 19,555,472 |
convert a string of integers `x` separated by spaces to a list of integers | Change a string of integers separated by spaces to a list of int | x = [int(i) for i in x.split()] | 19,555,472 |
find element by css selector "input[onclick*='1 Bedroom Deluxe']" | Find and click an item from 'onclick' partial value | driver.find_element_by_css_selector("input[onclick*='1 Bedroom Deluxe']") | 21,691,126 |
null | Python / Remove special character from string | re.sub('[^a-zA-Z0-9-_*.]', '', my_string) | 25,991,612 |
display a pdf file that has been downloaded as `my_pdf.pdf` | How to display a pdf that has been downloaded in python | webbrowser.open('file:///my_pdf.pdf') | 21,684,346 |
replace backslashes in string `result` with empty string '' | Removing backslashes from a string in Python | result = result.replace('\\', '') | 3,160,752 |
remove backslashes from string `result` | Removing backslashes from a string in Python | result.replace('\\', '') | 3,160,752 |
replace value '-' in any column of pandas dataframe to "NaN" | Replace value in any column in pandas dataframe | df.replace('-', 'NaN') | 42,172,204 |
convert datetime object to date object in python | How do I convert datetime to date (in Python)? | datetime.datetime.now().date() | 3,743,222 |
null | How do I convert datetime to date (in Python)? | datetime.datetime.now().date() | 3,743,222 |
get all sub-elements of an element `a` in an elementtree | How to get all sub-elements of an element tree with Python ElementTree? | [elem.tag for elem in a.iter()] | 10,408,927 |
get all sub-elements of an element tree `a` excluding the root element | How to get all sub-elements of an element tree with Python ElementTree? | [elem.tag for elem in a.iter() if elem is not a] | 10,408,927 |
null | How can I split and parse a string in Python? | """2.7.0_bf4fda703454""".split('_') | 5,749,195 |
move dictionaries in list `lst` to the end of the list if value of key 'language' in each dictionary is not equal to 'en' | Python - Move elements in a list of dictionaries to the end of the list | sorted(lst, key=lambda x: x['language'] != 'en') | 42,364,593 |
check if all values of a dictionary `your_dict` are zero `0` | How to check if all values of a dictionary are 0, in Python? | all(value == 0 for value in list(your_dict.values())) | 35,253,971 |
produce a pivot table as dataframe using column 'Y' in datafram `df` to form the axes of the resulting dataframe | Python Pandas Pivot Table | df.pivot_table('Y', rows='X', cols='X2') | 9,550,867 |
call `doSomething()` in a try-except without handling the exception | do a try-except without handling the exception | try:
doSomething()
except:
pass | 730,764 |
call `doSomething()` in a try-except without handling the exception | do a try-except without handling the exception | try:
doSomething()
except Exception:
pass | 730,764 |
get a sum of 4d array `M` | Python - Sum 4D Array | M.sum(axis=0).sum(axis=0) | 24,841,306 |
Convert a datetime object `dt` to microtime | Python datetime to microtime | time.mktime(dt.timetuple()) + dt.microsecond / 1000000.0 | 7,238,226 |
select all rows in dataframe `df` where the values of column 'columnX' is bigger than or equal to `x` and smaller than or equal to `y` | How to check if any value of a column is in a range in Pandas? | df[(x <= df['columnX']) & (df['columnX'] <= y)] | 40,156,469 |
sort a list of lists `L` by index 2 of the inner list | sort a list of lists by a specific index of the inner list | sorted(L, key=itemgetter(2)) | 4,174,941 |
sort a list of lists `l` by index 2 of the inner list | sort a list of lists by a specific index of the inner list | l.sort(key=(lambda x: x[2])) | 4,174,941 |
sort list `l` by index 2 of the item | sort a list of lists by a specific index | sorted(l, key=(lambda x: x[2])) | 4,174,941 |
sort a list of lists `list_to_sort` by indices 2,0,1 of the inner list | sort a list of lists by a specific index | sorted_list = sorted(list_to_sort, key=itemgetter(2, 0, 1)) | 4,174,941 |
find rows of 2d array in 3d numpy array 'arr' if the row has value '[[0, 3], [3, 0]]' | How to find row of 2d array in 3d numpy array | np.argwhere(np.all(arr == [[0, 3], [3, 0]], axis=(1, 2))) | 36,381,230 |
From multiIndexed dataframe `data` select columns `a` and `c` within each higher order column `one` and `two` | How to select only specific columns from a DataFrame with MultiIndex columns? | data.loc[:, (list(itertools.product(['one', 'two'], ['a', 'c'])))] | 18,470,323 |
select only specific columns 'a' and 'c' from a dataframe 'data' with multiindex columns | How to select only specific columns from a DataFrame with MultiIndex columns? | data.loc[:, ([('one', 'a'), ('one', 'c'), ('two', 'a'), ('two', 'c')])] | 18,470,323 |
match a sharp, followed by letters (including accent characters) in string `str1` using a regex | How to account for accent characters for regex in Python? | hashtags = re.findall('#(\\w+)', str1, re.UNICODE) | 18,663,644 |
Rename file from `src` to `dst` | Rename Files | os.rename(src, dst) | 2,759,067 |
Get all texts and tags from a tag `strong` from etree tag `some_tag` using lxml | How to get text for a root element using lxml? | print(etree.tostring(some_tag.find('strong'))) | 10,258,584 |
Serialize dictionary `data` and its keys to a JSON formatted string | Saving dictionary whose keys are tuples with json, python | json.dumps({str(k): v for k, v in data.items()}) | 12,337,583 |
parse UTF-8 encoded HTML response `response` to BeautifulSoup object | How to correctly parse UTF-8 encoded HTML to Unicode strings with BeautifulSoup? | soup = BeautifulSoup(response.read().decode('utf-8')) | 20,205,455 |
delete file `filename` | How to delete a file without an extension? | os.remove(filename) | 39,998,424 |
get the next value greatest to `2` from a list of numbers `num_list` | Get the immediate minimum among a list of numbers in python | min([x for x in num_list if x > 2]) | 29,471,884 |
Replace each value in column 'prod_type' of dataframe `df` with string 'responsive' | pandas: replace string with another string | df['prod_type'] = 'responsive' | 39,602,824 |
sort list `lst` with positives coming before negatives with values sorted respectively | How do I sort a list with positives coming before negatives with values sorted respectively? | sorted(lst, key=lambda x: (x < 0, x)) | 40,620,804 |
get the date 6 months from today | How do I calculate the date six months from the current date | six_months = (date.today() + relativedelta(months=(+ 6))) | 546,321 |
get the date 1 month from today | How do I calculate the date six months from the current date | (date(2010, 12, 31) + relativedelta(months=(+ 1))) | 546,321 |
get the date 2 months from today | How do I calculate the date six months from the current date | (date(2010, 12, 31) + relativedelta(months=(+ 2))) | 546,321 |
calculate the date six months from the current date | calculate the date six months from the current date | print((datetime.date.today() + datetime.timedelta(((6 * 365) / 12))).isoformat()) | 546,321 |
get a list of keys of dictionary `things` sorted by the value of nested dictionary key 'weight' | Finding The Biggest Key In A Python Dictionary | sorted(list(things.keys()), key=lambda x: things[x]['weight'], reverse=True) | 42,352,887 |
get all the values from a numpy array `a` excluding index 3 | how to get all the values from a numpy array excluding a certain index? | a[np.arange(len(a)) != 3] | 7,429,118 |
delete all elements from a list `x` if a function `fn` taking value as parameter returns `0` | what is a quick way to delete all elements from a list that do not satisfy a constraint? | [x for x in lst if fn(x) != 0] | 3,895,424 |
set dataframe `df` index using column 'month' | Python Pandas - Date Column to Column index | df.set_index('month') | 15,752,422 |
read lines from a csv file `./urls-eu.csv` into a list of lists `arr` | How to read lines from a file into a multidimensional array (or an array of lists) in python | arr = [line.split(',') for line in open('./urls-eu.csv')] | 1,532,810 |
list comprehension that produces integers between 11 and 19 | python list comprehension with multiple 'if's | [i for i in range(100) if i > 10 if i < 20] | 15,248,272 |
Get only digits from a string `strs` | Removing letters from a list of both numbers and letters | """""".join([c for c in strs if c.isdigit()]) | 18,116,235 |
split a string `yas` based on tab '\t' | splitting a string based on tab in the file | re.split('\\t+', yas.rstrip('\t')) | 17,038,426 |
scalar multiply matrix `a` by `b` | numpy matrix multiplication | (a.T * b).T | 3,809,265 |
remove trailing newline in string "test string\n" | remove (chomp) a newline | 'test string\n'.rstrip() | 275,018 |
remove trailing newline in string 'test string \n\n' | remove (chomp) a newline | 'test string \n\n'.rstrip('\n') | 275,018 |
remove newline in string `s` | remove (chomp) a newline | s.strip() | 275,018 |
remove newline in string `s` on the right side | remove (chomp) a newline | s.rstrip() | 275,018 |
remove newline in string `s` on the left side | remove (chomp) a newline | s.lstrip() | 275,018 |
remove newline in string 'Mac EOL\r' | remove (chomp) a newline | 'Mac EOL\r'.rstrip('\r\n') | 275,018 |
remove newline in string 'Windows EOL\r\n' on the right side | remove (chomp) a newline | 'Windows EOL\r\n'.rstrip('\r\n') | 275,018 |
remove newline in string 'Unix EOL\n' on the right side | remove (chomp) a newline | 'Unix EOL\n'.rstrip('\r\n') | 275,018 |
remove newline in string "Hello\n\n\n" on the right side | remove (chomp) a newline | 'Hello\n\n\n'.rstrip('\n') | 275,018 |
split string `text` into chunks of 16 characters each | Python - split sentence after words but with maximum of n characters in result | re.findall('.{,16}\\b', text) | 18,551,752 |
Get a list comprehension in list of lists `X` | NumPy List Comprehension Syntax | [[X[i][j] for j in range(len(X[i]))] for i in range(len(X))] | 21,360,028 |
convert unicode string '\xd0\xbc\xd0\xb0\xd1\x80\xd0\xba\xd0\xb0' to byte string | Convert unicode string to byte string | '\xd0\xbc\xd0\xb0\xd1\x80\xd0\xba\xd0\xb0'.encode('latin-1') | 11,174,790 |
split dataframe `df` where the value of column `a` is equal to 'B' | Best way to split a DataFrame given an edge | df.groupby((df.a == 'B').shift(1).fillna(0).cumsum()) | 13,353,233 |
save json output from a url ‘http://search.twitter.com/search.json?q=hi’ to file ‘hi.json’ in Python 2 | Save JSON outputed from a URL to a file | urllib.request.urlretrieve('http://search.twitter.com/search.json?q=hi', 'hi.json') | 3,040,904 |
Find indices of elements equal to zero from numpy array `x` | Find indices of elements equal to zero from numpy array | numpy.where((x == 0))[0] | 4,588,628 |
flush output of python print | python, subprocess: reading output from subprocess | sys.stdout.flush() | 3,804,727 |
convert `i` to string | Converting integer to string | str(i) | 961,632 |
convert `a` to string | Converting integer to string | a.__str__() | 961,632 |