Update results.py

results.py

@@ -265,8 +265,11 @@ data = {
         "y": [15.4293630385597, 14.827776633211421, 14.600432832118155, 14.43330043760322, 14.30586483681026, 14.203397641081045, 14.140361413924607, 14.101673126860582, 14.05840021694595, 14.033693337279875, 13.990003714671388, 14.001106927608756, 13.982387676044238, 13.960424890216352, 13.941694305252629, 13.928958405693843, 13.922871327026984, 13.90749356497257, 13.883187320364065, 13.870538613453949, 13.853682922141118, 13.839326154723096, 13.841949693311191, 13.851284862386178, 13.853606323578846, 13.851840301257587, 13.86166226046842, 13.872513892742713, 13.867295530090015, 13.870385212514083, 13.868578068850889, 13.848685425568009, 13.838736750620761, 13.825182992628129, 13.795340100698754, 13.809629502148145, 13.767911089744738, 13.75599639262174, 13.75925151191706, 13.751975433642748, 13.731931931502134, 13.714316407794309, 13.730848265421725, 13.681606796845, 13.670846152397202, 13.685040324991581, 13.687292733648798, 13.645627677729081, 13.635021438002346, 13.670103747374988, 13.62246956240464, 13.658574692934657, 13.65219324836813, 13.663836335892329, 13.666948307267594, 13.642643510414398, 13.672961601819406, 13.663525877548398, 13.667436573958156, 13.687522639036205, 13.647544546546508, 13.670704172336292, 13.643000490240736, 13.667107110344569, 13.660218070172265, 13.675550822990397, 13.59092599672469, 13.619850375757148, 13.651551988902462, 13.684288098100867, 13.599046453546292, 13.580905963181452, 13.620956017533885, 13.648408527460056, 13.60249514150298, 13.568078301644128, 13.6145797181229, 13.647719674647586, 13.531493703586886, 13.609260600121146, 13.687447710013837, 13.602215210547463, 13.563220813507392, 13.57176728376717, 13.664222431811334, 13.586259696651297, 13.571127927324502, 13.692682818016978, 13.599437831977406, 13.646024625160337, 13.645231022004468, 13.582760709524955, 13.597408008025921, 13.640791164279545, 13.58016693386471, 13.664139165839629, 13.553901320176095, 13.616471379535914, 13.574418885444663, 13.62049913139043, 13.595296717779055, 13.618520397945241, 13.619083853308746, 13.549404239296155, 13.515187660214737, 13.728226318739061, 13.618609127026419, 13.638021829042664, 13.684199453984574, 13.707676555543845, 13.541617144639595, 13.703834138276244, 13.519323579997998, 13.6031555746482, 13.56414632339735, 13.711610914557605, 13.529701508251849, 13.631734977501925, 13.657120297408555, 13.58489249685537, 13.64403630157245, 13.608235747585796, 13.512110498832085, 13.846959297419959, 13.488917791046676, 13.696834245583917, 13.61507766454769, 13.565377802829648, 13.790197786574588, 13.564346823139237, 13.5342157764538, 13.65148446769962, 13.570646849759997, 13.538878864721305, 13.608980817839505, 13.664477237928127, 13.532411719398455, 13.737437273256564, 13.519816331488395, 13.764368990604515, 13.653588472445573, 13.5302540795639, 13.57561188810073, 13.647608383912683, 13.728643890026184, 13.710097008284352, 13.75589344505474, 13.682502650080487, 13.684339202206958, 13.86749342599449, 13.645786331176726, 13.660817039716257, 13.638011389586667, 13.732387353692099, 13.687686391049773, 13.94728981311995, 13.614547412507926, 13.460552695752389, 13.857074456574574, 13.660326212827487, 13.718393121459215, 13.76973846040823, 13.778762864123724, 13.656959991670522, 14.214462072816556, 13.622739420457773, 13.645227120727897, 13.687497326712435, 13.649272554141808, 13.503550000252996, 14.052494437028535, 13.580311058963396, 14.14017314736784, 13.64182000911326, 13.886936632170794, 13.942674178813384, 13.801754161915504, 13.931144818346747, 13.584651322907064, 13.960391830857033, 14.178873989248789, 13.645923431288137, 13.97423140921055, 13.669569353257327, 13.915331700422486, 13.827145087821776, 13.736836827537942, 13.74766543270326, 13.770318536193258, 13.721033560006754, 13.710191655241298, 13.72744974500201, 13.845900599098753, 13.678446729208007, 13.902643304888189, 13.885717101405227, 13.800092557910519, 13.421930828385424, 14.22006344809192, 13.879986040380091, 14.134020605148754, 13.828712030750555, 13.713190050100788, 13.670401789346878, 13.948423234333882, 13.84481181587886, 13.818908981670926, 13.74582730003707, 13.94097096205736, 14.180988587482524, 13.792218775776533, 13.684855627228844, 13.881739174231223, 13.998746647008945, 14.576445279868192, 13.977974630190932, 13.537548783758675, 13.793279757360363, 13.712674433009878, 13.758696209000801, 13.912382937440464, 14.340144810498328, 14.03279240397904, 13.889996587251982, 13.862065986515601, 13.712302898403514, 13.797613183843772, 13.847295441275936, 14.422108283887903, 13.900169262027397, 14.247783256416513, 14.02056653491548, 13.99526374998638, 13.69358071050138, 13.828640744267325, 14.01321596237364, 13.824657271537166, 13.683602248925892, 13.933987455146445, 13.993921243916123, 13.720966315955001, 13.890770809341586, 13.426961283787957, 13.789886238259456, 13.904131224083592, 13.697354217113691, 13.710497864728065, 14.683006531539148, 14.315759264484964, 14.034699751802846, 13.890948305458895, 14.038907287423818, 13.298757873288494, 14.037824844116592, 14.162250808384407, 13.947058195824253, 13.806653590867487, 13.980386450979841, 13.667273172120268, 14.201737731565034, 14.447849496372461, 14.018697147254176, 14.002315381014313, 14.15231239942244, 13.73719042552595, 14.033594655653038, 14.03087108296539, 13.782578520604822, 13.660908086958573, 14.205910336717215, 13.930322566343703, 14.300591211697906, 13.808749910964323, 13.8076208806989, 14.169819824542373, 14.067537576689853, 14.306124453553517, 13.56827905088618, 13.592634469105525, 13.789396713937975, 13.853464456609156, 13.855768885291056, 13.710464058237172, 13.641314331273772, 14.295528532894258, 14.04977108393012, 14.153384726345907, 13.385524853965638, 13.484650040422745, 13.831061312642468, 14.15298734516191, 14.20289531849528, 14.116529526532855, 13.767652893233096, 13.715924776449405, 14.649027392365024, 13.603310028324861, 14.10228343978809, 13.704762155010586, 13.731715455443299], 
     },
 }
+
+fig33 = go.Figure()
+
 for year, year_data in data.items():
-    fig.add_trace(go.Scatter(
+    fig33.add_trace(go.Scatter(
         x=year_data['x'], 
         y=year_data['y'], 
         mode='lines+markers', 
@@ -275,7 +278,7 @@ for year, year_data in data.items():
     ))
 
 # Update layout
-fig.update_layout(
+fig33.update_layout(
     title="Perplexity vs. Number of Duplicate Documents Over Years",
     xaxis_title="Number of Duplicate Documents",
     yaxis_title="Average Perplexity",
@@ -283,7 +286,7 @@ fig.update_layout(
     hovermode="x unified"
 )
 
-graph3 = fig
+graph3 = fig33
 
 ##graph 4