Mo7art/Stack2Graph_VD_python · Datasets at Hugging Face

chunk_id large_string	question_id large_string	language large_string	chunk_index int64	chunk_text large_string	sparse_text large_string	dense_vector list	sparse_indices list	sparse_values list	export_source large_string
23917087_c0	23917087	python	0	Title: Cut by time in pandas Problem title: Cut by time in pandas Tags: numpy, pandas, python Problem: Cut by time in pandas Code signals: Cut, Series, s.groupby, x.time, int64	Cut by time in pandas Cut by time in pandas numpy pandas python Cut Series s.groupby x.time int64 Cut by time in pandas Is there more efficient method of grouping by time intervals than this? Here I want to group by [00:00 - 12:00), [12:00 - 16:00), [16:00 - 00:00) Also, I'd like to label new index values with last dat...	[ 0.031494140625, -0.004608154296875, 0.018310546875, 0.003692626953125, 0.0035247802734375, -0.0201416015625, -0.006439208984375, 0.006378173828125, -0.00994873046875, -0.005859375, -0.021240234375, 0.0012054443359375, -0.0019989013671875, -0.01043701171875, -0.0103759765625, 0.00903320...	[ 3003, 18, 390, 1733, 23, 2652, 1124, 13269, 6493, 17198, 50828, 64876, 91, 51588, 1272, 1022, 6032, 13307, 2685, 1286, 93766, 55300, 21115, 214, 51514, 3501, 903, 11853, 3444, 47, 7049, 6632, 20, 40008, 1530, 55418, 2485, 110095, 1884, 67...	[ 0.185546875, 0.120361328125, 0.1767578125, 0.1995849609375, 0.06036376953125, 0.156982421875, 0.2059326171875, 0.0635986328125, 0.17041015625, 0.054412841796875, 0.107177734375, 0.135009765625, 0.0277557373046875, 0.128173828125, 0.15283203125, 0.02227783203125, 0.179443359375, 0.1...	embed
4977859_c0	4977859	python	0	Title: Tuple vs array in hashtable Python Problem title: Tuple vs array in hashtable Python Tags: python Problem: Tuple vs array in hashtable Python Code signals: Tuple, Python	Tuple vs array in hashtable Python Tuple vs array in hashtable Python python Tuple Python Tuple vs array in hashtable Python I have heard that tuple element take low space but can't be modify, so what is the best solution in terms of execution times: OR	[ 0.01165771484375, 0.009765625, 0.00653076171875, 0.005157470703125, 0.0006256103515625, -0.036376953125, 0.00063323974609375, -0.00360107421875, 0.000850677490234375, 0.0103759765625, -0.0084228515625, 0.0155029296875, -0.00799560546875, 0.033203125, -0.0074462890625, -0.00787353515625...	[ 1371, 8705, 20209, 10298, 53, 1556, 127, 22819, 145581, 23, 17198, 50828, 49782, 370, 12830, 5646, 27226, 32628, 1284, 831, 18, 2811, 40383, 2965, 29806, 71924, 20028, 33172 ]	[ 0.176025390625, 0.284423828125, 0.137939453125, 0.16943359375, 0.1243896484375, 0.1610107421875, 0.06817626953125, 0.1968994140625, 0.2451171875, 0.0172882080078125, 0.0628662109375, 0.09130859375, 0.0191192626953125, 0.1461181640625, 0.136474609375, 0.070068359375, 0.12890625, 0.1...	embed
57005599_c0	57005599	python	0	Title: Flatten 3d list to 2d in python Problem title: Flatten 3d list to 2d in python Tags: list, python, flatten Problem: Flatten 3d list to 2d in python Code signals: Flatten	Flatten 3d list to 2d in python Flatten 3d list to 2d in python list python flatten Flatten Flatten 3d list to 2d in python So I have a list of lists in python that is something like this: I want to flatten this list and end up with this: Is there a straightforward way to do this in python?	[ 0.005615234375, 0.00054931640625, 0.0009918212890625, -0.004730224609375, 0.0022430419921875, 0.005523681640625, -0.00482177734375, 0.00604248046875, 0.00604248046875, 0.01531982421875, 0.0079345703125, -0.0263671875, 0.017333984375, 0.00186920166015625, -0.047119140625, -0.00058746337...	[ 106516, 510, 138, 71, 5303, 47, 116, 17198, 50828, 49878, 7, 1884, 3444, 3564, 678, 903, 80560, 2472, 19364, 3917, 54, 23 ]	[ 0.1937255859375, 0.200439453125, 0.1221923828125, 0.1317138671875, 0.2359619140625, 0.1134033203125, 0.11181640625, 0.1036376953125, 0.153076171875, 0.199462890625, 0.044769287109375, 0.012451171875, 0.0728759765625, 0.055328369140625, 0.00836181640625, 0.038482666015625, 0.009277343...	embed
67833943_c0	67833943	python	0	Title: Create Total index Problem title: Create Total index Tags: python, python-3.x, pandas Problem: Create Total index Code signals: Create, Total, df.loc, df.sum, python-3.x	Create Total index Create Total index python python-3.x pandas Create Total df.loc df.sum python-3.x Create Total index Is there a simple way to create a total index? Expected Output:	[ 0.012451171875, 0.032958984375, -0.00811767578125, 0.0257568359375, -0.007720947265625, -0.031494140625, 0.0191650390625, 0.0020751953125, 0.01422119140625, -0.0196533203125, -0.00396728515625, -0.028564453125, -0.009521484375, 0.01214599609375, 0.01171875, 0.0250244140625, 0.0177001...	[ 151313, 33867, 63262, 17198, 50828, 8316, 425, 2652, 1124, 420, 55043, 11832, 2685, 8781, 3917, 47, 28282, 10, 3622, 60075, 13, 89829, 13538, 7077 ]	[ 0.184814453125, 0.2440185546875, 0.281494140625, 0.08349609375, 0.1607666015625, 0.1009521484375, 0.052825927734375, 0.0892333984375, 0.1153564453125, 0.07818603515625, 0.1151123046875, 0.1524658203125, 0.014739990234375, 0.16796875, 0.08551025390625, 0.0677490234375, 0.1929931640625...	embed
70922744_c0	70922744	python	0	Title: How to split date of a list? Problem title: How to split date of a list? Tags: python, list, split Problem: How to split date of a list? Code signals: How, Sun, Oct, Mon	How to split date of a list? How to split date of a list? python list split How Sun Oct Mon How to split date of a list? I have a list: How can I get this result:	[ -0.013671875, -0.0111083984375, -0.0052490234375, 0.031982421875, -0.018310546875, 0.005157470703125, 0.00653076171875, 0.0223388671875, 0.00762939453125, 0.044189453125, -0.0167236328125, 0.0164794921875, -0.0216064453125, 0.0091552734375, -0.0179443359375, -0.00872802734375, 0.0041...	[ 11249, 47, 65450, 5622, 111, 5303, 10, 17198, 50828, 7550, 33649, 7465, 87, 765, 2046, 16750 ]	[ 0.099853515625, 0.094970703125, 0.2491455078125, 0.1981201171875, 0.0955810546875, 0.2376708984375, 0.040740966796875, 0.067626953125, 0.1370849609375, 0.14794921875, 0.1785888671875, 0.1365966796875, 0.008392333984375, 0.013702392578125, 0.0298309326171875, 0.0877685546875 ]	embed
74694673_c0	74694673	python	0	Title: flattening linked dictionary values Problem title: flattening linked dictionary values Tags: python Problem: flattening linked dictionary values Code signals: baz2, bar2	flattening linked dictionary values flattening linked dictionary values python baz2 bar2 flattening linked dictionary values How would I flatten: so that a["foo"] = ["bar", "baz", "baz2", "bax"] . Another example: output: a["foo"] = ["bar", "baz"] and a["bar2"] = ["bax"] Notice how the bar2 index is still there because...	[ 0.0289306640625, 0.006622314453125, -0.03125, -0.0074462890625, 0.005615234375, 0.0164794921875, -0.00185394287109375, 0.0181884765625, 0.0177001953125, 0.0125732421875, -0.004119873046875, 0.01373291015625, 0.00970458984375, 0.00174713134765625, -0.0045166015625, 0.0000729560852050781...	[ 49878, 67, 592, 3126, 297, 45, 10763, 6635, 142424, 17198, 50828, 16627, 304, 1909, 11249, 2806, 87, 510, 221, 450, 10, 1065, 3584, 31, 2203, 1299, 40300, 104731, 27781, 140992, 136, 63262, 7464, 2685, 959, 42564, 150632 ]	[ 0.246337890625, 0.197265625, 0.069580078125, 0.180908203125, 0.0948486328125, 0.06243896484375, 0.1265869140625, 0.06134033203125, 0.1920166015625, 0.07086181640625, 0.12548828125, 0.1417236328125, 0.163818359375, 0.1497802734375, 0.020477294921875, 0.1103515625, 0.0667724609375, 0...	embed
20685567_c0	20685567	python	0	Title: Convert Python string to list Problem title: Convert Python string to list Tags: string, list, python Problem: Convert Python string to list Code signals: Convert, Python	Convert Python string to list Convert Python string to list string list python Convert Python Convert Python string to list I have a list formatted as shown here: How do I convert to a list with elements as shown here:	[ -0.00701904296875, 0.0147705078125, -0.0157470703125, 0.029541015625, -0.0086669921875, 0.0186767578125, -0.0023956298828125, -0.0128173828125, -0.0086669921875, 0.00994873046875, 0.005584716796875, -0.0146484375, -0.005645751953125, 0.028076171875, -0.01507568359375, 0.000717163085937...	[ 1657, 11549, 145581, 79315, 47, 5303, 17198, 50828, 765, 9384, 127887, 3688, 87, 96760, 10, 678, 80854 ]	[ 0.056793212890625, 0.1319580078125, 0.295654296875, 0.25732421875, 0.08184814453125, 0.241455078125, 0.12060546875, 0.1409912109375, 0.0059814453125, 0.0869140625, 0.04339599609375, 0.0167236328125, 0.002532958984375, 0.1541748046875, 0.04083251953125, 0.02972412109375, 0.1181640625 ...	embed
3447435_c1	3447435	python	1	01. 102. 103. 104. 105.] [ 106. 107. 108. 109. 110. 111.] [ 112. 113. 114. 115. 116. 117.] [ 118. 119. 120. 121. 122. 123.]] Thank you Code signals: numpy, Processing, np.arange	01. 102. 103. 104. 105.] [ 106. 107. 108. 109. 110. 111.] [ 112. 113. 114. 115. 116. 117.] [ 118. 119. 120. 121. 122. 123.]] Thank you Code signals: numpy, Processing, np.arange	[ 0.006561279296875, 0.00799560546875, -0.02197265625, 0.02099609375, 0.01080322265625, 0.0172119140625, 0.023681640625, 0.00689697265625, 0.01434326171875, -0.004974365234375, -0.004547119140625, -0.0245361328125, 0.007049560546875, 0.01422119140625, -0.008056640625, -0.009765625, -0....	[ 38272, 30669, 5, 35389, 30994, 21213, 268, 378, 38264, 36225, 28292, 41184, 12062, 36682, 25837, 49508, 44909, 29187, 45773, 53373, 36460, 49501, 5390, 58865, 47320, 37638, 86245, 25689, 398, 28864, 26073, 7, 12, 13269, 6493, 123996, 214, 250...	[ 0.201904296875, 0.2498779296875, 0.10888671875, 0.2484130859375, 0.2430419921875, 0.2391357421875, 0.0546875, 0.053497314453125, 0.22021484375, 0.1871337890625, 0.1895751953125, 0.2083740234375, 0.181884765625, 0.1763916015625, 0.19091796875, 0.182373046875, 0.1781005859375, 0.1793...	embed
38490144_c0	38490144	python	0	Title: Pandas interpreting datetime wrong Problem title: Pandas interpreting datetime wrong Tags: python, pandas Problem: Pandas interpreting datetime wrong Code signals: Pandas	Pandas interpreting datetime wrong Pandas interpreting datetime wrong python pandas Pandas Pandas interpreting datetime wrong This probably has a quick answer and I'm being silly, but after one hour of struggling and 3 cups of coffee... I have this (not very well formatted) time series which is indexing some readings, ...	[ 0.0233154296875, 0.006927490234375, -0.0004024505615234375, 0.0177001953125, -0.0025482177734375, -0.0064697265625, -0.01806640625, 0.007171630859375, -0.0380859375, 0.02587890625, -0.0196533203125, -0.02197265625, -0.001983642578125, 0.004852294921875, -0.000812530517578125, 0.0108642...	[ 89308, 7, 29481, 214, 5622, 6032, 44691, 17198, 50828, 2652, 1124, 63773, 8035, 12097, 56816, 237875, 45364, 79497, 765, 903, 9384, 1733, 36549, 63262, 16454, 2831, 83, 20653, 70, 483, 927, 111, 18237, 1284, 11782, 915, 71, 188, 17489, 23...	[ 0.1798095703125, 0.038299560546875, 0.200927734375, 0.005340576171875, 0.10638427734375, 0.1683349609375, 0.1468505859375, 0.05364990234375, 0.1142578125, 0.056640625, 0.046234130859375, 0.008636474609375, 0.0008544921875, 0.03436279296875, 0.044036865234375, 0.06402587890625, 0.0054...	embed
5150958_c0	5150958	python	0	Title: Lists in Python Problem title: Lists in Python Tags: python, list Problem: Lists in Python Is the List in python homogeneous or heterogeneous? Code signals: Lists, Python	Lists in Python Lists in Python python list Lists Python Lists in Python Is the List in python homogeneous or heterogeneous?	[ 0.017333984375, 0.01171875, -0.00311279296875, 0.02001953125, -0.0120849609375, 0.01513671875, -0.0069580078125, -0.00860595703125, -0.01300048828125, 0.0264892578125, -0.0128173828125, -0.03759765625, 0.005035400390625, 0.01177978515625, -0.033935546875, 0.007110595703125, 0.0187988...	[ 32036, 23, 145581, 17198, 50828, 5303, 2071, 70, 12840, 15292, 10821, 707, 77099 ]	[ 0.219482421875, 0.04119873046875, 0.2344970703125, 0.12109375, 0.159912109375, 0.160400390625, 0.009979248046875, 0.010711669921875, 0.14990234375, 0.1798095703125, 0.06610107421875, 0.01373291015625, 0.1749267578125 ]	embed
11918342_c0	11918342	python	0	Title: Converting date/time in Pandas Problem title: Converting date/time in Pandas Tags: pandas, python Problem: Converting date/time in Pandas Code signals: Converting, Pandas	Converting date/time in Pandas Converting date/time in Pandas pandas python Converting Pandas Converting date/time in Pandas I have stock ticker data in the following format: and Excel is able to magically convert them to: via "Format Cells" How do I do the same conversion in pandas ?	[ 0.0167236328125, 0.00830078125, -0.0047607421875, 0.030517578125, 0.0091552734375, -0.0211181640625, -0.0301513671875, 0.00040435791015625, -0.0201416015625, 0.01806640625, -0.0025482177734375, -0.0247802734375, -0.003662109375, 0.0179443359375, -0.004608154296875, 0.00567626953125, ...	[ 1657, 814, 1916, 5622, 64, 6032, 23, 89308, 7, 2652, 1124, 17198, 50828, 31837, 1053, 11050, 2053, 25632, 9384, 30326, 19048, 1697, 71407, 96760, 47, 1829, 102973, 257, 80743, 5701, 142477 ]	[ 0.029083251953125, 0.11279296875, 0.06292724609375, 0.17138671875, 0.05926513671875, 0.196533203125, 0.07391357421875, 0.2113037109375, 0.146484375, 0.134033203125, 0.157470703125, 0.051544189453125, 0.1312255859375, 0.142333984375, 0.099365234375, 0.1693115234375, 0.1287841796875, ...	embed
72861225_c0	72861225	python	0	Title: Python Combine Dict Problem title: Python Combine Dict Tags: python Problem: Python Combine Dict Code signals: Python, Combine, Dict, xx:xx:xx:xx:xx:xx, cc:cc:cc:cc:cc:cc	Python Combine Dict Python Combine Dict python Python Combine Dict xx:xx:xx:xx:xx:xx cc:cc:cc:cc:cc:cc Python Combine Dict I have two dict. The elements in the dicts come in order. I want to combine them as I show below; How can I do that? Thanks.	[ 0.0010986328125, 0.027099609375, 0.01129150390625, 0.024169921875, -0.00457763671875, -0.0201416015625, -0.0033416748046875, 0.007476806640625, -0.0147705078125, 0.001953125, 0.005950927734375, -0.02099609375, 0.0020751953125, 0.02197265625, -0.006317138671875, 0.0023193359375, -0.00...	[ 145581, 106935, 86, 60897, 18, 17198, 50828, 113664, 12, 52219, 10060, 87, 765, 6626, 6, 61669, 80854, 23, 7, 1380, 12989, 3444, 47, 70163, 2856, 237, 7639, 35064, 11249, 831, 54, 450, 22362, 5 ]	[ 0.260498046875, 0.2607421875, 0.173828125, 0.2247314453125, 0.157470703125, 0.1226806640625, 0.146484375, 0.1116943359375, 0.0341796875, 0.1175537109375, 0.075439453125, 0.0343017578125, 0.06011962890625, 0.1483154296875, 0.0163421630859375, 0.26171875, 0.166015625, 0.0335693359375...	embed
37209874_c0	37209874	python	0	Title: On what basis python orders dict? Problem title: On what basis python orders dict? Tags: python Problem: On what basis python orders dict? Code signals: _MOBILE_CATEGORIES	On what basis python orders dict? On what basis python orders dict? python _MOBILE_CATEGORIES On what basis python orders dict? I have simple list of data which looks like: When I print it I get: As you cant see first goes 100152385: 66 which in list is third. If I define keys as string I get other order like this: So ...	[ 0.0279541015625, 0.01123046875, -0.00628662109375, -0.01446533203125, -0.0096435546875, 0.019287109375, -0.000911712646484375, 0.006561279296875, 0.0135498046875, 0.007598876953125, -0.000728607177734375, -0.0390625, -0.0084228515625, -0.002105712890625, 0.0101318359375, 0.003036499023...	[ 2161, 2367, 18231, 17198, 50828, 12989, 7, 6, 61669, 32, 123670, 647, 98062, 66118, 91461, 8781, 5303, 2053, 33342, 1884, 28412, 45767, 1957, 5117, 60899, 805, 138010, 104342, 11251, 50960, 61924, 22799, 237, 79315, 3789, 3871, 23 ]	[ 0.1029052734375, 0.0804443359375, 0.1868896484375, 0.1407470703125, 0.19384765625, 0.244873046875, 0.0469970703125, 0.03277587890625, 0.251953125, 0.006195068359375, 0.1524658203125, 0.031219482421875, 0.08905029296875, 0.099365234375, 0.035675048828125, 0.0601806640625, 0.0842285156...	embed
5050267_c0	5050267	python	0	Title: Python. The coding of a string Problem title: Python. The coding of a string Tags: python Problem: Python. The coding of a string Code signals: Python, u041a, u041e, u041b	Python. The coding of a string Python. The coding of a string python Python u041a u041e u041b Python. The coding of a string How to transform string as a variable to a readable kind (how print word)?	[ 0.009521484375, 0.0159912109375, 0.00408935546875, 0.036376953125, -0.0107421875, 0.00823974609375, 0.010009765625, 0.0111083984375, 0.01092529296875, 0.0262451171875, -0.019287109375, -0.026611328125, 0.01434326171875, 0.006622314453125, -0.036376953125, -0.00262451171875, 0.0038299...	[ 145581, 581, 552, 6238, 111, 10, 79315, 17198, 50828, 75, 7709, 418, 11249, 47, 27198, 237, 77336, 12301, 2886, 8562, 47251, 28412, 2565 ]	[ 0.2724609375, 0.07501220703125, 0.1951904296875, 0.151123046875, 0.09039306640625, 0.027557373046875, 0.244140625, 0.1270751953125, 0.1510009765625, 0.045928955078125, 0.1165771484375, 0.003173828125, 0.07275390625, 0.099609375, 0.1925048828125, 0.054962158203125, 0.23486328125, 0....	embed
65451935_c0	65451935	python	0	Title: I need to parse json file 1 key 1 value Problem title: I need to parse json file 1 key 1 value Tags: parsing, python, json Problem: I need to parse json file 1 key 1 value	I need to parse json file 1 key 1 value I need to parse json file 1 key 1 value parsing python json I need to parse json file 1 key 1 value I have a json file I parsed json to python dictionary format 1 key multiple values stored How to parse in the dictionary json file format 1 key 1 value?	[ 0.0086669921875, -0.0111083984375, -0.0159912109375, -0.00787353515625, -0.0198974609375, 0.0079345703125, -0.007781982421875, 0.004913330078125, -0.0011444091796875, 0.0177001953125, -0.00469970703125, 0.004058837890625, -0.01953125, -0.01373291015625, -0.00092315673828125, 0.02258300...	[ 3871, 366, 184, 1647, 1681, 11435, 106, 22799, 34292, 17198, 50828, 47, 10763, 6635, 9384, 48716, 142424, 4343, 45 ]	[ 0.083740234375, 0.1253662109375, 0.1055908203125, 0.1123046875, 0.1973876953125, 0.1583251953125, 0.0853271484375, 0.1658935546875, 0.1639404296875, 0.023773193359375, 0.1153564453125, 0.014404296875, 0.08563232421875, 0.049713134765625, 0.1199951171875, 0.06005859375, 0.096618652343...	embed
55949018_c0	55949018	python	0	Title: Plotting Shortest Path to graph Problem title: Plotting Shortest Path to graph Tags: python Problem: Plotting Shortest Path to graph Code signals: Plotting, Shortest, Path	Plotting Shortest Path to graph Plotting Shortest Path to graph python Plotting Shortest Path Plotting Shortest Path to graph I have a set of coordinates and would like to find the shortest path from the coordinates closest to x=0,y=0 to the coordinate that is furthest away from it and display it on the graph. Is there...	[ 0.002471923828125, 0.0233154296875, -0.003814697265625, 0.000919342041015625, -0.0224609375, -0.00799560546875, 0.010986328125, -0.0189208984375, 0.00144195556640625, 0.0140380859375, -0.007568359375, -0.0244140625, -0.0308837890625, 0.0108642578125, -0.00604248046875, 0.02880859375, ...	[ 168763, 1916, 82990, 525, 108421, 47, 41382, 17198, 50828, 87, 765, 5423, 111, 176866, 90, 2806, 1884, 7413, 70, 16610, 60875, 1295, 20903, 271, 1022, 145407, 53, 13, 83, 91344, 16065, 44116, 2685, 109954, 5809, 54, 450, 33946, 360, 7722,...	[ 0.1817626953125, 0.10089111328125, 0.2025146484375, 0.1680908203125, 0.2252197265625, 0.138916015625, 0.1995849609375, 0.09552001953125, 0.156494140625, 0.0169219970703125, 0.0217437744140625, 0.050689697265625, 0.0540771484375, 0.1478271484375, 0.06732177734375, 0.011627197265625, 0...	embed
70359559_c0	70359559	python	0	Title: regex on reading a txt file in Python Problem title: regex on reading a txt file in Python Tags: python Problem: regex on reading a txt file in Python Code signals: Python	regex on reading a txt file in Python regex on reading a txt file in Python python Python regex on reading a txt file in Python I have a txt that contains data for classification purposes. The first column is the class, that is 0 or 1 and the other four columns contain the features of the class. Yet the features has nu...	[ 0.005859375, -0.003936767578125, 0.0172119140625, 0.01043701171875, 0.00799560546875, -0.008544921875, 0.01080322265625, 0.0196533203125, -0.0135498046875, -0.009521484375, -0.0059814453125, -0.007171630859375, -0.0177001953125, -0.0296630859375, 0.0191650390625, 0.0024871826171875, ...	[ 6835, 3355, 98, 16454, 124326, 11435, 145581, 23, 17198, 50828, 10, 87, 70541, 2053, 40865, 1363, 60042, 5117, 3365, 316, 18507, 83, 757, 707, 106, 22759, 1779, 66139, 63519, 1556, 101935, 8108, 2856, 13806, 60213, 116, 13269, 6493, 65450, ...	[ 0.1744384765625, 0.2137451171875, 0.058319091796875, 0.2244873046875, 0.284423828125, 0.1666259765625, 0.2481689453125, 0.042236328125, 0.0675048828125, 0.08056640625, 0.0191802978515625, 0.0172119140625, 0.0477294921875, 0.0701904296875, 0.1375732421875, 0.001983642578125, 0.0119628...	embed
74742310_c0	74742310	python	0	Title: Django mysql connection errors Problem title: Django mysql connection errors Tags: python, django, mysql, wamp Problem: Django mysql connection errors Code signals: Django	Django mysql connection errors Django mysql connection errors python django mysql wamp Django Django mysql connection errors	[ 0.00885009765625, 0.0128173828125, -0.0024871826171875, -0.022705078125, -0.0084228515625, 0.01531982421875, -0.0262451171875, -0.007293701171875, -0.0301513671875, -0.016357421875, -0.01416015625, -0.042236328125, 0.0242919921875, 0.012939453125, -0.0022125244140625, 0.00665283203125,...	[ 39424, 27803, 759, 7, 99247, 94878, 18499, 17198, 50828, 107473, 259, 2676 ]	[ 0.1051025390625, 0.249267578125, 0.1414794921875, 0.08087158203125, 0.23388671875, 0.1529541015625, 0.1759033203125, 0.050872802734375, 0.1343994140625, 0.08013916015625, 0.1021728515625, 0.15771484375 ]	embed
50980800_c0	50980800	python	0	Title: For Loop generate sequence Problem title: For Loop generate sequence Tags: python Problem: For Loop generate sequence Code signals: Loop, server0, server1, server2, server3	For Loop generate sequence For Loop generate sequence python Loop server0 server1 server2 server3 For Loop generate sequence Need help, I expected the output like this But I don't get the output like I expected. Here's my code Output: Can someone help me?	[ 0.0247802734375, 0.00811767578125, -0.041259765625, 0.0235595703125, 0.005615234375, -0.00191497802734375, -0.0021209716796875, 0.035400390625, 0.015625, -0.0034027099609375, -0.0203857421875, -0.004913330078125, 0.01348876953125, 0.03369140625, -0.007171630859375, -0.0184326171875, ...	[ 1326, 199694, 139392, 40, 944, 3956, 17198, 50828, 10723, 2389, 304, 363, 52889, 4358, 87, 84751, 140992, 1884, 903, 4966, 2301, 18, 2046, 11853, 18151, 13538, 7077, 4171, 22008 ]	[ 0.122314453125, 0.2235107421875, 0.225830078125, 0.06201171875, 0.145751953125, 0.03387451171875, 0.066650390625, 0.11962890625, 0.14208984375, 0.04010009765625, 0.0264129638671875, 0.0830078125, 0.03106689453125, 0.119140625, 0.01007080078125, 0.1239013671875, 0.16552734375, 0.069...	embed
70561564_c0	70561564	python	0	Title: append to a list doesn't work as expected Problem title: append to a list doesn't work as expected Tags: python Problem: append to a list doesn't work as expected	append to a list doesn't work as expected append to a list doesn't work as expected python append to a list doesn't work as expected I have this code: I was expecting [1, 2] from the last line. Why does the expression evaluate to nothing instead?	[ 0.00653076171875, 0.0037384033203125, -0.00012874603271484375, 0.005523681640625, -0.00469970703125, 0.003387451171875, -0.00885009765625, 0.0167236328125, 0.0120849609375, 0.021484375, 0.0233154296875, -0.01470947265625, -0.01324462890625, 0.0111083984375, -0.013916015625, -0.00332641...	[ 114689, 71, 47, 10, 5303, 22027, 3768, 18, 4488, 237, 84751, 17198, 50828, 18151, 509, 41206, 214, 68252, 116, 1295, 4568, 13315, 44084, 125195, 151575, 33720, 64457 ]	[ 0.1888427734375, 0.0985107421875, 0.17578125, 0.06640625, 0.17578125, 0.05859375, 0.08148193359375, 0.0777587890625, 0.118896484375, 0.097900390625, 0.1109619140625, 0.06488037109375, 0.1156005859375, 0.0682373046875, 0.0211944580078125, 0.1103515625, 0.03765869140625, 0.0102539062...	embed
35682877_c0	35682877	python	0	Title: Pandas sum rows by specific classes Problem title: Pandas sum rows by specific classes Tags: pandas, python Problem: Pandas sum rows by specific classes Code signals: Pandas	Pandas sum rows by specific classes Pandas sum rows by specific classes pandas python Pandas Pandas sum rows by specific classes Here is my quesition: Take this dataframe(clipped from this question ) for example: My target: summarize the rows which has different type(unemp/emp), and make a new dataframe like this: http...	[ 0.0196533203125, 0.02001953125, 0.001983642578125, 0.035400390625, -0.0272216796875, -0.02294921875, 0.00750732421875, 0.019775390625, -0.00396728515625, 0.0289306640625, -0.01263427734375, -0.0498046875, 0.01116943359375, 0.003997802734375, -0.0008087158203125, 0.0054931640625, -0.0...	[ 89308, 7, 10554, 15555, 390, 29458, 61112, 2652, 1124, 17198, 50828, 2053, 160328, 106371, 27781, 30388, 29334, 14096, 13, 12921, 10644, 1811, 2676, 33548, 3525, 1884, 903, 1530, 10508, 158332, 128468 ]	[ 0.156494140625, 0.048126220703125, 0.197265625, 0.1982421875, 0.0667724609375, 0.1683349609375, 0.2274169921875, 0.061065673828125, 0.0650634765625, 0.0467529296875, 0.10205078125, 0.05377197265625, 0.1748046875, 0.02459716796875, 0.01751708984375, 0.1651611328125, 0.1539306640625, ...	embed
49144809_c0	49144809	python	0	Title: Fancy Indexing in NumPy Problem title: Fancy Indexing in NumPy Tags: numpy, python Problem: Fancy Indexing in NumPy Code signals: Fancy, Indexing, NumPy, np.arange, np.array	Fancy Indexing in NumPy Fancy Indexing in NumPy numpy python Fancy Indexing NumPy np.arange np.array Fancy Indexing in NumPy What is happening here?? I'm not able to get it. Output looks like this	[ 0.00083160400390625, 0.0054931640625, -0.00185394287109375, 0.0089111328125, 0.00653076171875, -0.006500244140625, 0.0022430419921875, 0.0255126953125, 0.03173828125, 0.01025390625, -0.01251220703125, -0.000637054443359375, 0.000705718994140625, 0.0279541015625, -0.006317138671875, -0....	[ 11213, 2408, 31471, 214, 52782, 683, 53, 23, 13269, 6493, 17198, 50828, 25037, 11, 94250, 19305, 4865, 83, 123087, 3688, 959, 19048, 2046, 442, 13538, 7077, 33342, 1884, 903 ]	[ 0.1649169921875, 0.1728515625, 0.227783203125, 0.07708740234375, 0.1534423828125, 0.115478515625, 0.172607421875, 0.04779052734375, 0.1219482421875, 0.1622314453125, 0.07171630859375, 0.1025390625, 0.14501953125, 0.0212249755859375, 0.21484375, 0.10394287109375, 0.00701904296875, 0...	embed
16335616_c1	16335616	python	1	010 z:011","11111110110110000100011001010011"] Code signals: Python, Splitting, re.split, e:1110, h:1111, l:110, o:000, x:001, y:010, z:011, n:10, n11111110110110000100011001010011	010 z:011","11111110110110000100011001010011"] Code signals: Python, Splitting, re.split, e:1110, h:1111, l:110, o:000, x:001, y:010, z:011, n:10, n11111110110110000100011001010011	[ -0.005401611328125, 0.00032806396484375, -0.014404296875, 0.032958984375, -0.00897216796875, 0.0208740234375, 0.01708984375, -0.004364013671875, 0.00079345703125, 0.02001953125, -0.01153564453125, -0.031982421875, 0.00518798828125, 0.0013275146484375, 0.0009918212890625, 0.002105712890...	[ 76327, 97, 12, 136485, 830, 1662, 159019, 35046, 191281, 14105, 36053, 3559, 268, 28864, 26073, 7, 145581, 4, 46474, 1916, 456, 5, 7008, 4353, 28, 19993, 963, 1096, 96, 36, 9508, 1022, 34479, 113, 653, 15110 ]	[ 0.2744140625, 0.146240234375, 0.10247802734375, 0.2388916015625, 0.0103759765625, 0.1544189453125, 0.2181396484375, 0.1243896484375, 0.1177978515625, 0.09271240234375, 0.251953125, 0.04754638671875, 0.068359375, 0.28564453125, 0.306396484375, 0.1417236328125, 0.324462890625, 0.0898...	embed
57711934_c0	57711934	python	0	Title: Pandas interpolate between two rows Problem title: Pandas interpolate between two rows Tags: python, pandas Problem: Pandas interpolate between two rows Code signals: Pandas	Pandas interpolate between two rows Pandas interpolate between two rows python pandas Pandas Pandas interpolate between two rows I have a pandas dataframe with N rows and M columns. Each column of this dataframe describes an almost continuous value. Sometime I need to substitute a row value with the value interpolated ...	[ 0.015869140625, 0.00909423828125, 0.0003032684326171875, 0.0294189453125, -0.0220947265625, -0.0096435546875, 0.00836181640625, 0.00075531005859375, -0.0177001953125, 0.037353515625, -0.0025482177734375, -0.01287841796875, -0.0130615234375, 0.0179443359375, 0.014404296875, 0.0088500976...	[ 89308, 7, 1940, 69990, 67, 17721, 6626, 15555, 17198, 50828, 2652, 1124, 2053, 160328, 541, 276, 3365, 316, 98423, 98363, 39555, 62005, 34292, 6032, 3871, 161740, 678, 5877, 36917, 35064, 133291, 27781, 3688, 15549, 534, 2320, 209, 427, 294...	[ 0.1995849609375, 0.0726318359375, 0.176025390625, 0.200927734375, 0.05816650390625, 0.183837890625, 0.1568603515625, 0.2093505859375, 0.0543212890625, 0.08599853515625, 0.1217041015625, 0.1500244140625, 0.0533447265625, 0.1680908203125, 0.034149169921875, 0.057373046875, 0.0706787109...	embed
59465921_c0	59465921	python	0	Title: Aging buckets Analysis Problem title: Aging buckets Analysis Tags: python, pandas Problem: Aging buckets Analysis Code signals: Aging, Analysis, DocDate, Amount_in_local_cur	Aging buckets Analysis Aging buckets Analysis python pandas Aging Analysis DocDate Amount_in_local_cur Aging buckets Analysis I try to create G/L group wise Date Aging Buckets (0,30,180,360,720,and above) with 03-Nov-2019 Cutoff date. This is my dataset I am expecting like below table	[ 0.00909423828125, 0.0103759765625, -0.0177001953125, 0.026123046875, 0.0091552734375, -0.003448486328125, -0.0174560546875, 0.00160980224609375, 0.001708984375, 0.034912109375, 0.0076904296875, -0.006072998046875, -0.008544921875, -0.020751953125, 0.01220703125, -0.01531982421875, -0...	[ 62, 9966, 373, 27853, 7, 114837, 17198, 50828, 2652, 1124, 29048, 86291, 121147, 73, 98908, 16820, 9790, 28282, 527, 64, 866, 21115, 90825, 25512, 162715, 7831, 1197, 39425, 38230, 114988, 36917, 5098, 62329, 148548, 3003, 18, 16713, 5622, ...	[ 0.1378173828125, 0.214111328125, 0.1400146484375, 0.2320556640625, 0.05865478515625, 0.1761474609375, 0.080078125, 0.1336669921875, 0.1014404296875, 0.1324462890625, 0.1219482421875, 0.120849609375, 0.1317138671875, 0.035797119140625, 0.1268310546875, 0.135009765625, 0.0736083984375,...	embed
75302082_c1	75302082	python	1	2023-01-21 09:48:28.282 1 HVtpG 2023-01-21 09:51:27.652 2023-01-21 09:52:17.412 2 Gh8Z4 2023-01-21 09:51:28.682 2023-01-21 09:51:28.682 1 Code signals: Pandas, Group, Gh8Z4, HVtpG	2023-01-21 09:48:28.282 1 HVtpG 2023-01-21 09:51:27.652 2023-01-21 09:52:17.412 2 Gh8Z4 2023-01-21 09:51:28.682 2023-01-21 09:51:28.682 1 Code signals: Pandas, Group, Gh8Z4, HVtpG	[ 0.01556396484375, 0.0098876953125, -0.012939453125, 0.02294921875, 0.005523681640625, 0.012451171875, -0.0189208984375, 0.011474609375, 0.0029144287109375, 0.01531982421875, -0.0072021484375, -0.0211181640625, 0.0113525390625, 0.00004315376281738281, -0.0230712890625, 0.01409912109375,...	[ 140429, 45669, 3117, 3894, 34605, 28270, 3882, 304, 106, 6, 101422, 18, 254, 724, 37374, 187065, 33915, 617, 1530, 116, 55112, 1019, 1511, 192508, 28864, 26073, 7, 12, 89308, 4, 10760 ]	[ 0.1385498046875, 0.057220458984375, 0.0311431884765625, 0.00604248046875, 0.059844970703125, 0.050933837890625, 0.095458984375, 0.0211029052734375, 0.0599365234375, 0.0487060546875, 0.184814453125, 0.072509765625, 0.1123046875, 0.1436767578125, 0.010833740234375, 0.0758056640625, 0.0...	embed
22959619_c4	22959619	python	4	2, x86, xb7, x85, x8f, x9b, xa3, x96, x89, xa5, x83, x99, xd9, x98, xd8, xa0, x9e, xa9, xe2, x88, x8c, x8e, x9d, x84, xa2, x90, x8a, x92, xb1, xb3, xc3, xb5, xc2, x94, xb4, xc5, x91	2, x86, xb7, x85, x8f, x9b, xa3, x96, x89, xa5, x83, x99, xd9, x98, xd8, xa0, x9e, xa9, xe2, x88, x8c, x8e, x9d, x84, xa2, x90, x8a, x92, xb1, xb3, xc3, xb5, xc2, x94, xb4, xc5, x91	[ -0.00885009765625, -0.000919342041015625, -0.0125732421875, 0.031494140625, -0.0213623046875, 0.0260009765625, -0.0225830078125, 0.007293701171875, 0.00933837890625, 0.040283203125, 0.0042724609375, 0.00732421875, 0.0098876953125, -0.00933837890625, -0.017333984375, -0.012451171875, ...	[ 116, 4, 1022, 15276, 275, 966, 12951, 1019, 420, 1126, 2459, 363, 11648, 18949, 758, 17168, 5046, 71, 16665, 2389, 13, 4449, 304, 12772, 238, 13903, 5039, 11, 12231, 418, 14889, 617, 12183 ]	[ 0.212890625, 0.137451171875, 0.1683349609375, 0.33349609375, 0.1539306640625, 0.1802978515625, 0.26904296875, 0.1488037109375, 0.1685791015625, 0.192138671875, 0.181640625, 0.1663818359375, 0.263427734375, 0.2421875, 0.1483154296875, 0.2373046875, 0.271728515625, 0.13525390625, 0...	embed
43825281_c0	43825281	python	0	Title: Numpy lexicographic ordering Problem title: Numpy lexicographic ordering Tags: python, numpy Problem: Numpy lexicographic ordering Code signals: Numpy, np.asarray, np.lexsort	Numpy lexicographic ordering Numpy lexicographic ordering python numpy Numpy np.asarray np.lexsort Numpy lexicographic ordering I'd like to lexicographically sort the following array a (get index positions), but, I'm having problems understanding the numpy results: For instance, I don't understand why [1, 2, 1] ( a[:,0...	[ 0.003936767578125, -0.0096435546875, -0.00445556640625, 0.004486083984375, -0.00408935546875, 0.0113525390625, 0.015869140625, 0.003997802734375, 0.0072021484375, 0.0068359375, -0.0033416748046875, 0.0096435546875, -0.0025482177734375, 0.0203857421875, -0.0252685546875, -0.012817382812...	[ 52782, 6493, 95, 73140, 48461, 12989, 214, 17198, 50828, 13269, 25037, 162, 19305, 53, 74070, 62351, 71, 1884, 25958, 12096, 25632, 10298, 10, 3794, 63262, 19069, 1284, 44402, 100094, 50339, 110527, 2301, 18, 28219, 15400, 68252, 116, 106, ...	[ 0.18359375, 0.2369384765625, 0.0787353515625, 0.1669921875, 0.1597900390625, 0.205078125, 0.064208984375, 0.09130859375, 0.157470703125, 0.1478271484375, 0.1285400390625, 0.069580078125, 0.0928955078125, 0.10089111328125, 0.127685546875, 0.2137451171875, 0.00238037109375, 0.0684814...	embed
50684570_c0	50684570	python	0	Title: Comparing two numbers in sage Problem title: Comparing two numbers in sage Tags: python, sage, numeric, numbers Problem: Comparing two numbers in sage Code signals: Comparing	Comparing two numbers in sage Comparing two numbers in sage python sage numeric numbers Comparing Comparing two numbers in sage i would like to know why by comparing two real numbers (e.g. bool(r1 == r2) ) in sage cas online it returns wrong boolean values. E.g.§1: 0.909297426825682 == 0.909 True But E.g.§2 0.909297426...	[ -0.0137939453125, 0.0005950927734375, -0.01239013671875, 0.0194091796875, 0.028564453125, 0.001708984375, 0.01226806640625, 0.017578125, 0.00927734375, 0.01239013671875, -0.0089111328125, 0.02099609375, -0.0091552734375, 0.0081787109375, 0.003387451171875, -0.0194091796875, 0.0121459...	[ 113307, 214, 6626, 101935, 23, 57, 429, 17198, 50828, 54744, 238, 1884, 3714, 15400, 37397, 2773, 142484, 42, 418, 69112, 1690, 10461, 4611, 1118, 442, 30646, 7, 44691, 337, 31, 34677, 142424, 62970, 143161, 6463, 4235, 184376, 16028, 2588,...	[ 0.2020263671875, 0.1094970703125, 0.1339111328125, 0.165771484375, 0.06390380859375, 0.1900634765625, 0.1959228515625, 0.0819091796875, 0.1199951171875, 0.10504150390625, 0.018035888671875, 0.041961669921875, 0.022705078125, 0.1051025390625, 0.2244873046875, 0.14111328125, 0.16857910...	embed
15296139_c0	15296139	python	0	Title: python number guessing Problem title: python number guessing Tags: python Problem: python number guessing Code signals: NameError, raw_input, Number, Traceback, File, prog.py	python number guessing python number guessing python NameError raw_input Number Traceback File prog.py python number guessing I am not understanding this, it says there is a syntax error at the end of the word correct. New error: Though the input is 458.	[ -0.00830078125, 0.002838134765625, -0.005218505859375, -0.00775146484375, 0.017822265625, 0.035888671875, -0.003021240234375, 0.004058837890625, 0.007568359375, -0.0201416015625, -0.0081787109375, -0.009521484375, -0.0283203125, 0.028076171875, -0.00225830078125, 0.00183868408203125, ...	[ 17198, 50828, 14012, 57767, 214, 15757, 18468, 31611, 49649, 73, 7077, 103332, 4937, 329, 12620, 42724, 67973, 6493, 100094, 17378, 6002, 86531, 18499, 99, 3564, 70, 2565, 26785, 2356, 145733, 107730, 83, 201, 10057 ]	[ 0.10595703125, 0.160888671875, 0.1783447265625, 0.21435546875, 0.1400146484375, 0.09765625, 0.1097412109375, 0.038604736328125, 0.1929931640625, 0.0758056640625, 0.0787353515625, 0.13671875, 0.13037109375, 0.0806884765625, 0.2310791015625, 0.1458740234375, 0.1318359375, 0.119018554...	embed
64612946_c0	64612946	python	0	Title: Find duplicate sets in list of sets Problem title: Find duplicate sets in list of sets Tags: python, list, set Problem: Find duplicate sets in list of sets Code signals: Find	Find duplicate sets in list of sets Find duplicate sets in list of sets python list set Find Find duplicate sets in list of sets I have an array of sets and I would like to check if two or more sets are the same. I don't need to look at the sets in a precise order. example list within the list there are two identical s...	[ 0.00433349609375, 0.00567626953125, 0.00885009765625, -0.0135498046875, 0.003387451171875, 0.00148773193359375, 0.003814697265625, -0.00994873046875, 0.00994873046875, 0.008544921875, -0.009765625, 0.03173828125, 0.0263671875, 0.0029754638671875, -0.0169677734375, 0.0303955078125, 0....	[ 26040, 171763, 67, 5423, 7, 23, 5303, 111, 17198, 50828, 87, 765, 10298, 53, 1884, 47, 12765, 2174, 6626, 707, 1286, 621, 5701, 6713, 99, 134995, 12989, 27781, 28032, 2685, 31943, 6827, 1284, 678, 14012, 12921, 100, 8382 ]	[ 0.1617431640625, 0.2666015625, 0.218994140625, 0.26171875, 0.118408203125, 0.07879638671875, 0.1864013671875, 0.11083984375, 0.070556640625, 0.1304931640625, 0.00604248046875, 0.003021240234375, 0.08782958984375, 0.04486083984375, 0.0195465087890625, 0.0267791748046875, 0.181640625, ...	embed
70096383_c0	70096383	python	0	Title: round datetime to nearest min Problem title: round datetime to nearest min Tags: datetime, dataframe, pandas, python Problem: round datetime to nearest min Code signals: Time	round datetime to nearest min round datetime to nearest min datetime dataframe pandas python Time round datetime to nearest min how do I round below : to nearest min :	[ 0.01397705078125, -0.0003833770751953125, 0.0220947265625, -0.00445556640625, -0.01007080078125, -0.01611328125, 0.025634765625, 0.002838134765625, -0.005645751953125, 0.00372314453125, -0.023193359375, 0.0123291015625, -0.00022220611572265625, 0.0179443359375, -0.005584716796875, 0.01...	[ 68807, 5622, 6032, 47, 43573, 525, 881, 2053, 160328, 2652, 1124, 17198, 50828, 19055, 3642, 54, 87, 35064 ]	[ 0.2451171875, 0.154541015625, 0.1982421875, 0.161376953125, 0.1904296875, 0.1861572265625, 0.266845703125, 0.05804443359375, 0.1649169921875, 0.08740234375, 0.1043701171875, 0.06378173828125, 0.133056640625, 0.13134765625, 0.037811279296875, 0.073486328125, 0.051971435546875, 0.175...	embed
3124662_c0	3124662	python	0	Title: django on windows server 2008 Problem title: django on windows server 2008 Tags: python, django Problem: django on windows server 2008 Does Django work on Windows server 2008?	django on windows server 2008 django on windows server 2008 python django django on windows server 2008 Does Django work on Windows server 2008?	[ 0.02587890625, 0.007171630859375, 0.0216064453125, 0.0030364990234375, -0.026611328125, 0.01446533203125, -0.01318359375, -0.005584716796875, -0.0107421875, -0.023681640625, -0.0018463134765625, -0.01422119140625, 0.03173828125, 0.0118408203125, -0.000896453857421875, 0.01055908203125,...	[ 107473, 27803, 98, 54825, 10723, 2021, 17198, 50828, 101790, 39424, 4488, 3773, 32 ]	[ 0.11279296875, 0.28955078125, 0.09686279296875, 0.12939453125, 0.1749267578125, 0.25439453125, 0.05657958984375, 0.1199951171875, 0.03900146484375, 0.137451171875, 0.1322021484375, 0.1573486328125, 0.007251739501953125 ]	embed
39457653_c0	39457653	python	0	Title: is there a 2D dictionary in python? Problem title: is there a 2D dictionary in python? Tags: numpy, python Problem: is there a 2D dictionary in python? Code signals: np.matrix	is there a 2D dictionary in python? is there a 2D dictionary in python? numpy python np.matrix is there a 2D dictionary in python? I was about to create a matrix like : I want to query by horizontal or vertical titles, so I created the matrix by： I want to have the certain data if I query a[23][11] = 1 so is there a wa...	[ 0.011962890625, -0.0014801025390625, -0.005340576171875, -0.005889892578125, 0.00994873046875, 0.0030517578125, 0.0032958984375, 0.0123291015625, 0.0108642578125, 0.007293701171875, 0.01373291015625, 0.00885009765625, 0.00090789794921875, -0.00897216796875, -0.034912109375, 0.007476806...	[ 83, 2685, 10, 116, 397, 45, 10763, 6635, 23, 17198, 50828, 13269, 6493, 25037, 192, 87427, 28282, 50944, 425, 3444, 41, 1294, 390, 124001, 707, 79259, 44759, 75935, 765, 24233, 2053, 159144, 73068, 106, 3917, 2203 ]	[ 0.027008056640625, 0.06524658203125, 0.0633544921875, 0.1787109375, 0.1751708984375, 0.129150390625, 0.1937255859375, 0.1751708984375, 0.077392578125, 0.120849609375, 0.1767578125, 0.0462646484375, 0.10064697265625, 0.08349609375, 0.06634521484375, 0.1363525390625, 0.0704345703125, ...	embed
47994397_c0	47994397	python	0	Title: escaping str format brackets Problem title: escaping str format brackets Tags: python-3.x, python Problem: escaping str format brackets Code signals: _id, ObjectId, python-3.x	escaping str format brackets escaping str format brackets python-3.x python _id ObjectId python-3.x escaping str format brackets I'd like to print something like the string below using Python: At first I thought it would be easy, but it is not. Here is my first attempt: But I got the following error Then I tried: And I...	[ 0.004608154296875, 0.01092529296875, -0.00946044921875, 0.0021514892578125, 0.00946044921875, 0.01287841796875, 0.0167236328125, 0.0169677734375, 0.015869140625, 0.0235595703125, 0.0233154296875, -0.018798828125, -0.00909423828125, -0.00885009765625, 0.01611328125, -0.00836181640625, ...	[ 38940, 10366, 7704, 9384, 1620, 27853, 17198, 50828, 8316, 425, 532, 134549, 568, 71, 1884, 28412, 9844, 70, 79315, 35064, 17368, 145581, 5117, 17569, 23468, 1284, 959, 81887, 4163, 25632, 18499, 37842, 903, 145755, 4488, 18151, 44691, 678 ]	[ 0.193115234375, 0.14990234375, 0.251220703125, 0.263671875, 0.1826171875, 0.21533203125, 0.0748291015625, 0.1287841796875, 0.099853515625, 0.08026123046875, 0.09234619140625, 0.1729736328125, 0.04473876953125, 0.034576416015625, 0.1048583984375, 0.1856689453125, 0.07568359375, 0.02...	embed
49361020_c0	49361020	python	0	Title: Object Storage in python Problem title: Object Storage in python Tags: python Problem: Object Storage in python Code signals: Object, Storage, p.__repr__, x.__repr__, __repr__	Object Storage in python Object Storage in python python Object Storage p.__repr__ x.__repr__ __repr__ Object Storage in python What is the reason of following behavior of python: ans= <method-wrapper '__repr__' of int object at 0x00000000623E78E0> <method-wrapper '__repr__' of int object at 0x00000000623E78E0> Here re...	[ 0.025146484375, 0.045654296875, -0.003936767578125, 0.0194091796875, -0.0135498046875, 0.0125732421875, 0.0101318359375, 0.0228271484375, 0.007171630859375, 0.0184326171875, 0.005401611328125, -0.0238037109375, 0.0213623046875, 0.0029144287109375, 0.01409912109375, 0.01019287109375, ...	[ 134549, 208071, 17198, 50828, 23, 915, 107, 10287, 1022, 31635, 25632, 123166, 111, 7210, 1369, 1928, 7352, 5429, 11, 8079, 18, 36746, 99, 757, 425, 197094, 159343, 3742, 19051, 647, 2389, 10958, 42, 30646, 5701, 31913, 69141, 142424, 5062,...	[ 0.24267578125, 0.256103515625, 0.1307373046875, 0.1956787109375, 0.07464599609375, 0.001739501953125, 0.0775146484375, 0.1405029296875, 0.0233612060546875, 0.126953125, 0.112548828125, 0.164306640625, 0.0302734375, 0.146240234375, 0.05999755859375, 0.07763671875, 0.146484375, 0.093...	embed
19157307_c0	19157307	python	0	Title: Generate Range of IPs in Python Problem title: Generate Range of IPs in Python Tags: python Problem: Generate Range of IPs in Python Code signals: Generate, Range, IPs, Python	Generate Range of IPs in Python Generate Range of IPs in Python python Generate Range IPs Python Generate Range of IPs in Python	[ 0.009521484375, 0.0093994140625, -0.0093994140625, 0.024658203125, -0.0004520416259765625, 0.004547119140625, -0.0147705078125, -0.01318359375, -0.0185546875, 0.0030364990234375, -0.0167236328125, 0.0115966796875, 0.013916015625, 0.00537109375, -0.0042724609375, -0.00787353515625, -0...	[ 155370, 67, 142462, 8021, 7, 23, 145581, 111, 17198, 50828 ]	[ 0.1837158203125, 0.0609130859375, 0.1954345703125, 0.2335205078125, 0.09381103515625, 0.04168701171875, 0.2301025390625, 0.021453857421875, 0.10858154296875, 0.11602783203125 ]	embed
61863551_c0	61863551	python	0	Title: Enabling cuda support for opencv Problem title: Enabling cuda support for opencv Tags: python, opencv, windows Problem: Enabling cuda support for opencv Code signals: Enabling	Enabling cuda support for opencv Enabling cuda support for opencv python opencv windows Enabling Enabling cuda support for opencv My goal is to enable the cuda support for opencv.I followed the guide from https://jamesbowley.co.uk/build-opencv-4-0-0-with-cuda-10-0-and-intel-mkl-tbb-in-windows/ or https://www.youtube.co...	[ 0.0198974609375, -0.0115966796875, -0.0107421875, -0.00168609619140625, 0.020751953125, -0.00121307373046875, 0.013671875, -0.007110595703125, -0.004669189453125, 0.01043701171875, -0.015869140625, -0.0240478515625, 0.01806640625, 0.011962890625, -0.00909423828125, 0.0025634765625, -...	[ 357, 11, 79298, 314, 85, 8060, 9803, 238, 334, 100, 17198, 50828, 54825, 69236, 22, 2886, 134629, 17997, 46378, 84201, 4293, 177149, 59636, 11565, 23320, 1010, 52486, 2389, 1708, 15066, 5125, 229792, 49565, 7103, 9969, 150, 57860, 20028, 18...	[ 0.03485107421875, 0.0809326171875, 0.03521728515625, 0.2105712890625, 0.186767578125, 0.2362060546875, 0.16259765625, 0.08154296875, 0.2408447265625, 0.01934814453125, 0.0618896484375, 0.136962890625, 0.1044921875, 0.08880615234375, 0.0340576171875, 0.1226806640625, 0.042755126953125...	embed
53892916_c0	53892916	python	0	Title: Pandas converting column to rows Problem title: Pandas converting column to rows Tags: pandas, python, dataframe Problem: Pandas converting column to rows Code signals: Pandas	Pandas converting column to rows Pandas converting column to rows pandas python dataframe Pandas Pandas converting column to rows I have the following Python pandas dataframe: I want:	[ 0.0361328125, -0.01043701171875, 0.004364013671875, 0.022705078125, -0.0264892578125, -0.010009765625, 0.00665283203125, -0.017578125, -0.0211181640625, 0.029296875, -0.0027313232421875, -0.0303955078125, -0.0002899169921875, 0.021728515625, -0.0125732421875, 0.0018463134765625, -0.0...	[ 89308, 7, 96760, 3365, 316, 19, 47, 15555, 214, 2652, 1124, 17198, 50828, 2053, 160328, 765, 25632, 145581, 87, 3444 ]	[ 0.1788330078125, 0.0560302734375, 0.1146240234375, 0.1285400390625, 0.162109375, 0.035888671875, 0.08624267578125, 0.183837890625, 0.0206146240234375, 0.08056640625, 0.0693359375, 0.029510498046875, 0.05712890625, 0.056976318359375, 0.167236328125, 0.012420654296875, 0.03533935546875...	embed
67735551_c4	67735551	python	4	U, RPqvjRWOhApz3L7HiNpoEuuxYfB1Jw, I64T3mELXVRWITHswupbbyQOvA0eZLOm5Wl4xZZ29tbUucgZCpYO2, RRyssucyXi, x9mGGU, G7eaidL9rThdeDzVpGR7J80l4vJ6rMo, wS5UDZfSmsgsPCuaUNIyPMDyxRLUIP7zKq, END	U, RPqvjRWOhApz3L7HiNpoEuuxYfB1Jw, I64T3mELXVRWITHswupbbyQOvA0eZLOm5Wl4xZZ29tbUucgZCpYO2, RRyssucyXi, x9mGGU, G7eaidL9rThdeDzVpGR7J80l4vJ6rMo, wS5UDZfSmsgsPCuaUNIyPMDyxRLUIP7zKq, END	[ -0.01123046875, 0.0191650390625, -0.0146484375, 0.0101318359375, 0.000469207763671875, 0.00335693359375, 0.00162506103515625, 0.0048828125, 0.01220703125, -0.004119873046875, 0.029541015625, 0.0003108978271484375, 0.0203857421875, -0.01220703125, -0.018310546875, -0.005279541015625, ...	[ 345, 4, 80026, 864, 334, 170, 78691, 56886, 47677, 363, 20861, 771, 52283, 6077, 1375, 434, 87, 13307, 618, 39, 16398, 1542, 35930, 38969, 23415, 2037, 60060, 670, 284, 13, 4235, 1062, 177, 1511, 441, 32256, 304, 6, 37703, 53, 54607, ...	[ 0.25927734375, 0.165283203125, 0.1593017578125, 0.07177734375, 0.04833984375, 0.026611328125, 0.0711669921875, 0.033294677734375, 0.04302978515625, 0.101318359375, 0.04925537109375, 0.033966064453125, 0.000762939453125, 0.045257568359375, 0.1317138671875, 0.0819091796875, 0.112060546...	embed
68030079_c2	68030079	python	2	fi, _7:0.103752, Sacu, _10:0.11457, _8:0.059988, _8:0.123914, _6:0.036195, _3:0.024392, _2:0.01915, _2:0.028257, _2:0.235806, Arabidopsis, Anthoceros, Amborella, Azolla, Ceratopteris	fi, _7:0.103752, Sacu, _10:0.11457, _8:0.059988, _8:0.123914, _6:0.036195, _3:0.024392, _2:0.01915, _2:0.028257, _2:0.235806, Arabidopsis, Anthoceros, Amborella, Azolla, Ceratopteris	[ 0.0189208984375, 0.005035400390625, -0.01165771484375, 0.015869140625, 0.01458740234375, -0.0137939453125, 0.0159912109375, 0.0081787109375, 0.00185394287109375, 0.043212890625, 0.009033203125, -0.004974365234375, -0.0135498046875, -0.01055908203125, -0.0026702880859375, -0.02209472656...	[ 809, 4, 101, 966, 53861, 5, 963, 85433, 304, 947, 1010, 12, 102014, 2592, 12243, 1019, 99929, 12975, 193021, 9323, 910, 135765, 8821, 363, 131564, 182149, 1837, 3882, 2588, 133684, 144827, 9016, 129674, 246, 74988, 178111, 45407, 3666, 1025...	[ 0.190185546875, 0.0712890625, 0.0723876953125, 0.0841064453125, 0.092041015625, 0.083740234375, 0.1004638671875, 0.133544921875, 0.090576171875, 0.1114501953125, 0.1968994140625, 0.0157470703125, 0.093505859375, 0.036407470703125, 0.09130859375, 0.07220458984375, 0.03948974609375, ...	embed
72146015_c0	72146015	python	0	Title: Append column of arrays in Pandas Problem title: Append column of arrays in Pandas Tags: pandas, python Problem: Append column of arrays in Pandas Code signals: Append, Pandas	Append column of arrays in Pandas Append column of arrays in Pandas pandas python Append Pandas Append column of arrays in Pandas I have a dataframe of arrays such as: I want to convert to get the unique and count values of the whole dataframe. Any idea? Thank you!	[ 0.0216064453125, 0.0152587890625, -0.004913330078125, 0.03759765625, 0.002166748046875, -0.004638671875, -0.007720947265625, -0.004913330078125, -0.005218505859375, 0.0177001953125, 0.01263427734375, -0.00982666015625, -0.004486083984375, 0.0184326171875, -0.00084686279296875, -0.00637...	[ 5659, 3611, 3365, 316, 19, 111, 10298, 4778, 23, 89308, 7, 2652, 1124, 17198, 50828, 2053, 160328, 3444, 96760, 2046, 36998, 54529, 142424, 28271, 6528 ]	[ 0.140625, 0.09979248046875, 0.154296875, 0.1737060546875, 0.0806884765625, 0.111328125, 0.153564453125, 0.1680908203125, 0.060333251953125, 0.2027587890625, 0.12451171875, 0.0875244140625, 0.058624267578125, 0.041412353515625, 0.107666015625, 0.059173583984375, 0.1898193359375, 0.0...	embed
72251609_c1	72251609	python	1	11/2012 11:32', 4: '16/11/2012 11:33'}, 'x': {0: 0.17, 1: 0.17, 2: 0.17, 3: 0.17, 4: 0.17}, 'y': {0: 0.48, 1: 0.48, 2: 0.48, 3: 0.48, 4: 0.48}} Code signals: How, Laptop, time_string	11/2012 11:32', 4: '16/11/2012 11:33'}, 'x': {0: 0.17, 1: 0.17, 2: 0.17, 3: 0.17, 4: 0.17}, 'y': {0: 0.48, 1: 0.48, 2: 0.48, 3: 0.48, 4: 0.48}} Code signals: How, Laptop, time_string	[ 0.00390625, 0.00921630859375, -0.007080078125, 0.006988525390625, -0.006378173828125, -0.00927734375, 0.000942230224609375, 0.01300048828125, 0.0029296875, 0.00146484375, 0.0052490234375, -0.0296630859375, 0.014404296875, 0.000701904296875, 0.00347900390625, -0.004486083984375, -0.00...	[ 534, 30268, 29902, 25, 4, 27959, 2485, 40868, 10693, 31191, 8152, 425, 12, 2389, 107754, 966, 13806, 15573, 22408, 53, 757, 9285, 5, 47391, 28864, 26073, 7, 11249, 101035, 1733, 91693 ]	[ 0.1702880859375, 0.2174072265625, 0.2196044921875, 0.028717041015625, 0.08935546875, 0.2113037109375, 0.16845703125, 0.166748046875, 0.1800537109375, 0.1904296875, 0.00689697265625, 0.1646728515625, 0.04931640625, 0.1123046875, 0.160888671875, 0.14306640625, 0.05364990234375, 0.061...	embed
36609368_c0	36609368	python	0	Title: align arrays with python Problem title: align arrays with python Tags: arrays, alignment, python Problem: align arrays with python Code signals: file1.txt, file2.txt, file3.txt	align arrays with python align arrays with python arrays alignment python file1.txt file2.txt file3.txt align arrays with python I have 3 files ( file1.txt , file2.txt , file3.txt ) that look like: file1: file2: file3: I want to align the zeros of the arrays I read from these files and get the sum of the values on the ...	[ 0.0262451171875, 0.0011444091796875, -0.0206298828125, 0.0235595703125, 0.0155029296875, 0.0103759765625, 0.00640869140625, 0.02685546875, 0.00836181640625, 0.038818359375, 0.00131988525390625, 0.023193359375, 0.000553131103515625, 0.01220703125, 0.004058837890625, -0.01422119140625, ...	[ 143420, 10298, 4778, 678, 17198, 50828, 674, 11435, 124326, 363, 6, 138, 102158, 6713, 1884, 87, 3444, 47, 45234, 111, 12301, 1295, 2046, 10554, 142424, 7108, 20949, 11249, 5809, 54, 450, 145581, 129745 ]	[ 0.290771484375, 0.2176513671875, 0.1734619140625, 0.12548828125, 0.1199951171875, 0.1690673828125, 0.080322265625, 0.1539306640625, 0.1656494140625, 0.0792236328125, 0.006866455078125, 0.0777587890625, 0.1834716796875, 0.0965576171875, 0.0305938720703125, 0.002655029296875, 0.0817871...	embed
36763771_c0	36763771	python	0	Title: dataframe to long format Problem title: dataframe to long format Tags: pandas, python Problem: dataframe to long format I have the following df: tz.head() Code signals: tz.head	dataframe to long format dataframe to long format pandas python tz.head dataframe to long format I have the following df: I would like to change it so that looks like this: The reason is that I have a df that is similarly shaped and I need to merge the two dfs. I have recently had similar df shaping issues that I have ...	[ 0.0284423828125, 0.00933837890625, 0.004913330078125, 0.00701904296875, 0.00101470947265625, -0.04296875, 0.01043701171875, 0.026611328125, -0.00168609619140625, -0.0263671875, 0.0128173828125, 0.00872802734375, 0.013427734375, 0.0047607421875, 0.001220703125, 0.0240478515625, 0.0068...	[ 2053, 160328, 47, 4989, 9384, 2652, 1124, 17198, 50828, 9136, 5, 31251, 765, 25632, 104, 420, 2806, 1884, 15549, 442, 221, 450, 33342, 903, 31635, 21373, 115700, 71, 3871, 42564, 70, 6626, 17447, 78684, 9638, 10366, 37348, 51, 2886, 8781,...	[ 0.136474609375, 0.294921875, 0.1771240234375, 0.1658935546875, 0.2406005859375, 0.09912109375, 0.1063232421875, 0.094970703125, 0.1622314453125, 0.196044921875, 0.015625, 0.2025146484375, 0.056121826171875, 0.1170654296875, 0.051788330078125, 0.1656494140625, 0.07098388671875, 0.11...	embed
44239223_c0	44239223	python	0	Title: Split pandas column python Problem title: Split pandas column python Tags: pandas, python, split Problem: Split pandas column python Code signals: Split, Name, column1, column2	Split pandas column python Split pandas column python pandas python split Split Name column1 column2 Split pandas column python I'm working on python 3.4 and I have a pandas dataframe column containing: and i would like to split it and turn it into multople columns: Could you please help me ? Thanks in advance	[ 0.0101318359375, -0.00946044921875, -0.0174560546875, 0.026611328125, -0.0162353515625, 0.0172119140625, 0.007720947265625, -0.0002269744873046875, -0.0106201171875, 0.035400390625, 0.00107574462890625, -0.01031494140625, -0.0174560546875, 0.00665283203125, -0.01953125, 0.0078735351562...	[ 46474, 2652, 1124, 3365, 316, 19, 17198, 50828, 65450, 15757, 418, 304, 87, 20697, 98, 104271, 2053, 160328, 70541, 17, 2806, 1884, 47, 136, 15504, 3934, 130298, 8705, 1779, 12, 191147, 22936, 4358, 163, 129745 ]	[ 0.2410888671875, 0.170166015625, 0.18017578125, 0.1700439453125, 0.1993408203125, 0.07574462890625, 0.1053466796875, 0.1593017578125, 0.2193603515625, 0.1815185546875, 0.05340576171875, 0.09429931640625, 0.002716064453125, 0.058380126953125, 0.00555419921875, 0.1405029296875, 0.05941...	embed
47431547_c0	47431547	python	0	Title: Pandas timeseries manipulation Problem title: Pandas timeseries manipulation Tags: time-series, python, pandas Problem: Pandas timeseries manipulation Code signals: Pandas, NaN	Pandas timeseries manipulation Pandas timeseries manipulation time-series python pandas Pandas NaN Pandas timeseries manipulation I have some data in the following format: I want to clean this data into proper minute by minute time series and carry forwad the values for every minute till a new value is found for the ID...	[ 0.0107421875, 0.01519775390625, 0.00836181640625, 0.00008058547973632812, -0.0267333984375, -0.0133056640625, -0.00157928466796875, 0.001190185546875, -0.0218505859375, 0.036376953125, -0.0186767578125, -0.01470947265625, 0.0040283203125, 0.00032806396484375, 0.00156402587890625, 0.007...	[ 89308, 7, 1733, 32832, 45258, 1363, 17198, 50828, 2652, 1124, 353, 839, 87, 765, 3060, 2053, 25632, 9384, 3444, 47, 46622, 3934, 27798, 15393, 390, 36549, 85358, 26573, 70, 142424, 11907, 570, 3525, 34292, 14037, 100, 11338, 2472, 44841, ...	[ 0.2110595703125, 0.0968017578125, 0.15087890625, 0.2236328125, 0.2220458984375, 0.04632568359375, 0.0750732421875, 0.1273193359375, 0.0999755859375, 0.0748291015625, 0.1312255859375, 0.1207275390625, 0.023834228515625, 0.044647216796875, 0.020050048828125, 0.141845703125, 0.057861328...	embed
51098291_c0	51098291	python	0	Title: Pandas: shiftafter N strings Problem title: Pandas: shiftafter N strings Tags: python, pandas Problem: Pandas: shiftafter N strings Code signals: Pandas, atm_id, df.sort_values	Pandas: shiftafter N strings Pandas: shiftafter N strings python pandas Pandas atm_id df.sort_values Pandas: shiftafter N strings I have dataframe I need add new columns, that, means period. (For every atm_id every 3 transaction (strings in dataframe)) Desire output I try to do this with But I've got an error.	[ 0.01904296875, -0.0078125, 0.00628662109375, 0.027099609375, 0.010986328125, -0.01318359375, 0.0235595703125, -0.0145263671875, -0.0009002685546875, 0.013427734375, 0.00093841552734375, -0.0087890625, 0.0047607421875, -0.0103759765625, -0.0008087158203125, 0.01171875, -0.004974365234...	[ 89308, 7, 122925, 46327, 541, 79315, 17198, 50828, 2652, 1124, 99, 39, 532, 420, 62351, 27494, 2053, 160328, 3871, 15190, 3525, 3365, 316, 1779, 26950, 14922, 18537, 11907, 138, 124161, 91693, 56656, 107, 140992, 9790, 4966, 18499 ]	[ 0.185791015625, 0.06671142578125, 0.2381591796875, 0.1727294921875, 0.169677734375, 0.2469482421875, 0.048919677734375, 0.09417724609375, 0.0792236328125, 0.07659912109375, 0.1162109375, 0.099609375, 0.10888671875, 0.0914306640625, 0.20703125, 0.1497802734375, 0.099365234375, 0.213...	embed
60555815_c1	60555815	python	1	4485 3/1/2018 13:50 9 2791ec4485 3/1/2018 13:53 10 2791ec4485 3/1/2018 13:51 11 2791ec4485 3/1/2018 13:55 Code signals: Time, request_time, user_ID, eb0718c1c9, a11e41cdc2, python-3.x	4485 3/1/2018 13:50 9 2791ec4485 3/1/2018 13:53 10 2791ec4485 3/1/2018 13:51 11 2791ec4485 3/1/2018 13:55 Code signals: Time, request_time, user_ID, eb0718c1c9, a11e41cdc2, python-3.x	[ 0.00106048583984375, 0.0322265625, 0.0032806396484375, -0.01239013671875, 0.004150390625, 0.010009765625, -0.007293701171875, 0.0185546875, 0.016845703125, -0.0006866455078125, -0.010986328125, -0.0177001953125, 0.00183868408203125, 0.007232666015625, -0.005584716796875, -0.01708984375...	[ 201, 114999, 138, 11583, 18242, 702, 23837, 483, 1438, 12183, 617, 31690, 209, 37374, 534, 28565, 28864, 26073, 7, 12, 19055, 4, 50336, 6032, 38937, 7146, 28, 275, 8368, 1819, 238, 1126, 10, 1662, 13, 8894, 71574, 304, 17198, 50828, 831...	[ 0.1458740234375, 0.31103515625, 0.05474853515625, 0.0877685546875, 0.08807373046875, 0.02886962890625, 0.0248870849609375, 0.042144775390625, 0.09674072265625, 0.1085205078125, 0.05230712890625, 0.10009765625, 0.044464111328125, 0.038726806640625, 0.0231170654296875, 0.1090087890625, ...	embed
63246465_c0	63246465	python	0	Title: How to get a different output? Problem title: How to get a different output? Tags: python, output, list Problem: How to get a different output? Code signals: How, y-1, t.append	How to get a different output? How to get a different output? python output list How y-1 t.append How to get a different output? I am new to python programming. I was trying to write a program to find how many 9s are present in the list. enter image description here output: 2 numbers of 9s are present at [5, 9] positio...	[ 0.015625, 0.006439208984375, 0.0185546875, 0.004302978515625, 0.00150299072265625, -0.005126953125, -0.0030059814453125, 0.0213623046875, 0.0218505859375, 0.0301513671875, 0.0189208984375, -0.0028076171875, -0.0076904296875, 0.0072021484375, -0.006195068359375, -0.006927490234375, 0....	[ 11249, 47, 2046, 10, 12921, 140992, 17198, 50828, 5303, 113, 5759, 808, 9007, 3611, 3525, 56037, 31577, 33022, 1528, 7413, 5941, 483, 7, 13379, 30957, 29569, 76811, 116, 101935, 111, 99, 758, 19069, 237, 304, 190, 136 ]	[ 0.1092529296875, 0.1146240234375, 0.15283203125, 0.0938720703125, 0.234375, 0.29296875, 0.0908203125, 0.149658203125, 0.1654052734375, 0.1416015625, 0.152587890625, 0.1168212890625, 0.0755615234375, 0.0869140625, 0.03375244140625, 0.04888916015625, 0.037628173828125, 0.055511474609...	embed
65586482_c0	65586482	python	0	Title: Transform Set to DataFrame Problem title: Transform Set to DataFrame Tags: pandas, dataframe, python Problem: Transform Set to DataFrame Code signals: Transform, Set, DataFrame	Transform Set to DataFrame Transform Set to DataFrame pandas dataframe python Transform Set DataFrame Transform Set to DataFrame How to convert a set of categories into a DataFrame? For example: To:	[ 0.0322265625, 0.00970458984375, 0.003021240234375, 0.021728515625, 0.018310546875, -0.044677734375, -0.00634765625, 0.017333984375, -0.00836181640625, 0.024169921875, 0.0191650390625, 0.002471923828125, 0.00077056884765625, 0.00193023681640625, -0.01544189453125, 0.012451171875, 0.02...	[ 11062, 5037, 19943, 47, 11809, 108386, 282, 2652, 1124, 2053, 160328, 17198, 50828, 11249, 96760, 5423, 111, 39283, 7, 3934, 10, 27781, 717 ]	[ 0.106689453125, 0.2303466796875, 0.2900390625, 0.1444091796875, 0.1612548828125, 0.288330078125, 0.20458984375, 0.090087890625, 0.111328125, 0.1239013671875, 0.23974609375, 0.0706787109375, 0.139892578125, 0.04840087890625, 0.1890869140625, 0.20556640625, 0.0079345703125, 0.2432861...	embed
73673545_c0	73673545	python	0	Title: Python How to fix this Problem title: Python How to fix this Tags: list, python Problem: Python How to fix this Code signals: Python, How, list1, list2, list1.append, list2.pop	Python How to fix this Python How to fix this list python Python How list1 list2 list1.append list2.pop Python How to fix this Display [1, 2, 3, [4, 5]] the value in list1 disappear	[ 0.008056640625, 0.022705078125, -0.006011962890625, 0.0091552734375, 0.01446533203125, 0.016357421875, 0.007354736328125, 0.004547119140625, 0.015625, 0.009765625, 0.028564453125, -0.009521484375, -0.00274658203125, 0.01708984375, 0.00543212890625, -0.024169921875, 0.00433349609375, ...	[ 145581, 11249, 47, 30022, 903, 5303, 17198, 50828, 418, 304, 9007, 3611, 5442, 33554, 90045, 68252, 116, 138, 617, 190, 34292, 23, 213566 ]	[ 0.2301025390625, 0.018951416015625, 0.0462646484375, 0.203857421875, 0.117431640625, 0.229248046875, 0.06585693359375, 0.1068115234375, 0.082275390625, 0.101806640625, 0.06378173828125, 0.105224609375, 0.0872802734375, 0.2098388671875, 0.2008056640625, 0.056915283203125, 0.1131591796...	embed
25747030_c0	25747030	python	0	Title: Remove leading characters Python Problem title: Remove leading characters Python Tags: python Problem: Remove leading characters Python Code signals: Remove, Python, Fail, Error	Remove leading characters Python Remove leading characters Python python Remove Python Fail Error Remove leading characters Python I would like to remove the leading characters from each line of this file until I find the digit: File looks like this: My output should be like below: It woule be even better if I get this...	[ 0.01165771484375, 0.0191650390625, -0.00787353515625, 0.02197265625, -0.0013885498046875, -0.023193359375, -0.0021209716796875, -0.0023956298828125, 0.007232666015625, -0.002227783203125, 0.0025634765625, -0.003662109375, -0.006866455078125, 0.0224609375, -0.0125732421875, -0.006561279...	[ 181139, 105207, 124850, 145581, 17198, 50828, 190355, 212059, 2806, 1884, 87388, 70, 1295, 12638, 13315, 903, 11435, 24189, 7413, 153939, 42724, 33342, 140992, 5608, 35064, 87971, 133, 11522, 2046, 82800, 12989, 14012 ]	[ 0.156494140625, 0.2010498046875, 0.201904296875, 0.2291259765625, 0.07879638671875, 0.1202392578125, 0.1876220703125, 0.15283203125, 0.058624267578125, 0.09912109375, 0.16748046875, 0.013580322265625, 0.0740966796875, 0.1015625, 0.127685546875, 0.046051025390625, 0.1763916015625, 0...	embed
29472394_c0	29472394	python	0	Title: Convert String to Time Python Problem title: Convert String to Time Python Tags: python Problem: Convert String to Time Python Code signals: time, Convert, Python, time.strptime	Convert String to Time Python Convert String to Time Python python time Convert Python time.strptime Convert String to Time Python I have a time String like this： I use this command line to convert it: But this returns: My python version is 2.7.7	[ -0.0189208984375, 0.01416015625, 0.0042724609375, 0.01373291015625, 0.005706787109375, 0.00396728515625, 0.00006723403930664062, -0.0115966796875, -0.0030670166015625, -0.022216796875, 0.01190185546875, 0.002655029296875, -0.0079345703125, 0.0179443359375, -0.0152587890625, -0.00196838...	[ 1657, 11549, 23351, 214, 47, 19055, 145581, 17198, 50828, 1733, 9297, 254, 6032, 765, 1884, 903, 4527, 75101, 13315, 96760, 442, 30646, 11389, 83, 787, 196800 ]	[ 0.060302734375, 0.1549072265625, 0.2117919921875, 0.10711669921875, 0.1083984375, 0.25048828125, 0.2432861328125, 0.08502197265625, 0.144775390625, 0.203857421875, 0.0924072265625, 0.07269287109375, 0.2470703125, 0.003662109375, 0.053741455078125, 0.04229736328125, 0.031036376953125,...	embed
34560164_c0	34560164	python	0	Title: How to print line by date range update Problem title: How to print line by date range update Tags: python, file Problem: How to print line by date range update Code signals: How	How to print line by date range update How to print line by date range update python file How How to print line by date range update Question UPDATE: I solved this problem by radar answer. Question is how i can print something if i have 2 or more same dates in file, how i can compare line with line after? File update: ...	[ -0.01165771484375, -0.01416015625, 0.0034942626953125, 0.015869140625, -0.0096435546875, 0.01165771484375, 0.0002727508544921875, 0.0341796875, -0.0128173828125, 0.0302734375, -0.0311279296875, -0.00848388671875, 0.006439208984375, -0.020263671875, 0.002899169921875, 0.001312255859375,...	[ 11249, 47, 28412, 13315, 390, 5622, 37457, 28350, 17198, 50828, 11435, 161521, 86869, 2967, 84770, 35166, 3642, 831, 9844, 2174, 765, 116, 707, 1286, 5701, 112474, 69101, 678, 7103, 42724, 39015, 31766, 21389, 1528, 8110, 756, 124519, 33342, ...	[ 0.0821533203125, 0.06524658203125, 0.2291259765625, 0.21337890625, 0.15185546875, 0.151611328125, 0.215087890625, 0.2142333984375, 0.126708984375, 0.160888671875, 0.150634765625, 0.18310546875, 0.033935546875, 0.041107177734375, 0.1324462890625, 0.01617431640625, 0.038665771484375, ...	embed
61548790_c0	61548790	python	0	Title: Sympy Solve returns an empty set Problem title: Sympy Solve returns an empty set Tags: python, solver, sympy Problem: Sympy Solve returns an empty set Code signals: Sympy, Solve	Sympy Solve returns an empty set Sympy Solve returns an empty set python solver sympy Sympy Solve Sympy Solve returns an empty set I am trying to solve following polynomial equations using solve However it returns an empty set. wolfram-alpha returns following real solutions. How do I ensure that I get the solutions if ...	[ 0.01953125, -0.011474609375, -0.006103515625, 0.0267333984375, -0.02490234375, 0.02880859375, 0.006561279296875, -0.01251220703125, -0.008056640625, 0.029541015625, -0.01324462890625, 0.0081787109375, -0.00421142578125, 0.01373291015625, -0.0069580078125, 0.02783203125, -0.0144653320...	[ 4843, 2676, 53, 6678, 272, 30646, 201505, 5423, 17198, 50828, 3115, 814, 954, 31577, 86869, 25632, 35874, 1687, 13722, 17368, 13924, 55334, 289, 14612, 2773, 51347, 63284, 2046, 32316, 55300, 60627, 45064, 757, 27289 ]	[ 0.08538818359375, 0.1484375, 0.15576171875, 0.1646728515625, 0.1727294921875, 0.1739501953125, 0.170654296875, 0.166259765625, 0.0163421630859375, 0.0909423828125, 0.09954833984375, 0.06854248046875, 0.037353515625, 0.037261962890625, 0.200927734375, 0.07391357421875, 0.0558471679687...	embed
71659446_c0	71659446	python	0	Title: Function with two maximum values Problem title: Function with two maximum values Tags: matplotlib, numpy, python Problem: Function with two maximum values Code signals: np.array	Function with two maximum values Function with two maximum values matplotlib numpy python np.array Function with two maximum values I have two arrays: Plotting these two arrays give the following scattered I need to get the coordinates of each maximum peak. Is there some function?	[ 0.0184326171875, 0.0106201171875, 0.00897216796875, 0.0030670166015625, -0.002044677734375, 0.021240234375, -0.0023345947265625, -0.00885009765625, 0.0279541015625, -0.0033721923828125, 0.01123046875, 0.007354736328125, 0.003021240234375, 0.0050048828125, 0.0159912109375, -0.0013885498...	[ 28670, 10763, 678, 6626, 38132, 142424, 2589, 105710, 5612, 13269, 6493, 17198, 50828, 25037, 19305, 765, 10298, 4778, 168763, 1916, 6097, 25632, 16275, 3055, 3871, 47, 2046, 176866, 90, 12638, 280, 344, 3060, 32354 ]	[ 0.1627197265625, 0.0572509765625, 0.1275634765625, 0.20703125, 0.22265625, 0.2269287109375, 0.044342041015625, 0.1148681640625, 0.1181640625, 0.0218505859375, 0.113525390625, 0.024139404296875, 0.084228515625, 0.10400390625, 0.09234619140625, 0.004852294921875, 0.1334228515625, 0.1...	embed
9654014_c0	9654014	python	0	Title: Unexpected output of python list Problem title: Unexpected output of python list Tags: python, list Problem: Unexpected output of python list Code signals: Unexpected, raw_input	Unexpected output of python list Unexpected output of python list python list Unexpected raw_input Unexpected output of python list I am new to python and I am trying to run following code: Output: but, when i dry run the program the expected output should be Its like after each iteration list is reassigned, but as I a...	[ 0.0014190673828125, 0.00628662109375, -0.00135040283203125, 0.01318359375, -0.0101318359375, 0.017822265625, 0.0025177001953125, 0.007293701171875, -0.000537872314453125, 0.0341796875, 0.00823974609375, -0.01177978515625, 0.0086669921875, 0.0206298828125, -0.01904296875, -0.01208496093...	[ 992, 83613, 13, 89829, 140992, 111, 17198, 50828, 5303, 49649, 73, 7077, 3525, 47, 31577, 11675, 25632, 18151, 13538, 1284, 3229, 17, 36898, 1528, 84751, 5608, 186, 1884, 7103, 12638, 720, 456, 162, 31304, 158661, 214, 14, 80854, 4358 ]	[ 0.10443115234375, 0.125732421875, 0.124755859375, 0.0799560546875, 0.2548828125, 0.07177734375, 0.122314453125, 0.1705322265625, 0.2305908203125, 0.222900390625, 0.117919921875, 0.1234130859375, 0.0751953125, 0.054718017578125, 0.051116943359375, 0.1580810546875, 0.044952392578125, ...	embed
34002541_c0	34002541	python	0	Title: count number of lists inside a list python Problem title: count number of lists inside a list python Tags: count, list, python Problem: count number of lists inside a list python	count number of lists inside a list python count number of lists inside a list python count list python count number of lists inside a list python I have a list like this : How can i count how many lists i have inside list called test ?	[ 0.0019073486328125, 0.006011962890625, -0.0166015625, 0.02880859375, 0.0120849609375, 0.00171661376953125, 0.000682830810546875, -0.007293701171875, 0.00506591796875, -0.0072021484375, -0.016845703125, -0.04345703125, 0.022216796875, 0.03369140625, -0.00457763671875, -0.007080078125, ...	[ 54529, 14012, 111, 5303, 7, 46132, 17198, 50828, 10, 765, 1884, 903, 17, 3642, 5941, 35839, 3034 ]	[ 0.1865234375, 0.125, 0.078857421875, 0.257568359375, 0.1131591796875, 0.2047119140625, 0.10028076171875, 0.1185302734375, 0.07830810546875, 0.06549072265625, 0.052215576171875, 0.02899169921875, 0.0213623046875, 0.042388916015625, 0.095703125, 0.00531005859375, 0.2203369140625 ]	embed
36959696_c0	36959696	python	0	Title: how to filter nested list in python Problem title: how to filter nested list in python Tags: python Problem: how to filter nested list in python Code signals: ValueError, my_list	how to filter nested list in python how to filter nested list in python python ValueError my_list how to filter nested list in python I have the follow list: I want to retrieve the follow data: [x,y,[z]][x+1,y+1,[z]][x+2,y+2,[z]][x+3,y+3,[z]] should get: where x is a index of character in a word, y is line number and z...	[ -0.01116943359375, 0.016845703125, 0.00084686279296875, -0.0142822265625, 0.01409912109375, 0.0172119140625, 0.001373291015625, 0.004180908203125, 0.0224609375, 0.001678466796875, 0.01104736328125, -0.036376953125, 0.01953125, 0.01434326171875, -0.01177978515625, -0.004791259765625, ...	[ 3642, 46312, 8512, 71, 5303, 23, 17198, 50828, 47, 190060, 18468, 31611, 759, 6562, 28960, 3444, 456, 3996, 3134, 2053, 53, 169, 21748, 54651, 85398, 5608, 2046, 1022, 63262, 62816, 2565, 113, 13315, 14012, 97, 3365, 316, 831, 1957, 1286,...	[ 0.05316162109375, 0.263671875, 0.27783203125, 0.160400390625, 0.2301025390625, 0.05364990234375, 0.1456298828125, 0.18896484375, 0.0361328125, 0.203857421875, 0.114990234375, 0.1239013671875, 0.1439208984375, 0.2137451171875, 0.1558837890625, 0.05633544921875, 0.0238494873046875, 0...	embed
50175183_c0	50175183	python	0	Title: Strange assignment in python Problem title: Strange assignment in python Tags: python Problem: Strange assignment in python Code signals: Strange, ind1, new_point, heuristic_dist	Strange assignment in python Strange assignment in python python Strange ind1 new_point heuristic_dist Strange assignment in python I am trying to develop a mutation (genetic algorithm) operator in python. My population is an array of tuples - (array (solution) , float (objective function)). Considering in this case th...	[ 0.00830078125, 0.006591796875, -0.0203857421875, -0.0038604736328125, 0.00885009765625, -0.00011539459228515625, -0.034423828125, 0.00897216796875, 0.01519775390625, 0.0030517578125, 0.00653076171875, -0.0240478515625, 0.0213623046875, -0.0123291015625, -0.021484375, -0.022705078125, ...	[ 187791, 95486, 674, 23, 17198, 50828, 2752, 418, 3525, 38496, 764, 474, 48242, 46295, 31577, 85493, 199334, 15292, 9523, 234873, 39933, 2646, 43904, 10298, 53, 370, 99726, 19305, 166589, 21917, 257, 187694, 32354, 137399, 13267, 29806, 106, 3...	[ 0.270263671875, 0.26123046875, 0.109130859375, 0.0855712890625, 0.1552734375, 0.2049560546875, 0.1876220703125, 0.1441650390625, 0.123779296875, 0.210205078125, 0.08062744140625, 0.111083984375, 0.10760498046875, 0.156494140625, 0.049713134765625, 0.088134765625, 0.223388671875, 0....	embed
59113428_c0	59113428	python	0	Title: changing a list of strings in python Problem title: changing a list of strings in python Tags: python, list Problem: changing a list of strings in python Code signals: AAAAA, BBB	changing a list of strings in python changing a list of strings in python python list AAAAA BBB changing a list of strings in python I am trying to change this list to something that looks like this i have tried multiple ways and cant figure it out	[ 0.0040283203125, -0.00836181640625, 0.015869140625, 0.029296875, 0.0072021484375, -0.0037078857421875, -0.00021076202392578125, 0.0086669921875, 0.0201416015625, 0.07763671875, -0.0020904541015625, -0.0045166015625, 0.01141357421875, 0.0213623046875, -0.024658203125, -0.0079345703125, ...	[ 151134, 5303, 111, 79315, 7, 23, 17198, 50828, 10, 155616, 15467, 335, 22312, 31577, 15549, 903, 47, 9844, 33342, 1884, 37842, 48716, 48322, 45767, 26366, 1810 ]	[ 0.226806640625, 0.215576171875, 0.0733642578125, 0.25244140625, 0.037017822265625, 0.075927734375, 0.1251220703125, 0.1767578125, 0.01287841796875, 0.1873779296875, 0.1705322265625, 0.043365478515625, 0.2138671875, 0.072509765625, 0.2032470703125, 0.1087646484375, 0.104248046875, 0...	embed
53766807_c1	53766807	python	1	819 228 8.93 1840 6 231 818 225 8.05 1710 7 234 817 225 7.90 1610 8 210 817 224 7.60 1590 9 200 816 221 7.53 1590 10 199 810 219 7.41 1550 Code signals: Seaborn, DataFrames, Matplotlib	819 228 8.93 1840 6 231 818 225 8.05 1710 7 234 817 225 7.90 1610 8 210 817 224 7.60 1590 9 200 816 221 7.53 1590 10 199 810 219 7.41 1550 Code signals: Seaborn, DataFrames, Matplotlib	[ 0.04052734375, 0.024658203125, -0.00970458984375, -0.00299072265625, 0.0027923583984375, 0.0057373046875, 0.0101318359375, 0.006622314453125, -0.001617431640625, 0.05615234375, -0.016357421875, -0.0196533203125, -0.00238037109375, 0.00958251953125, -0.01300048828125, 0.0062255859375, ...	[ 382, 2947, 133008, 3217, 11591, 167777, 305, 140911, 1819, 57947, 8194, 729, 963, 361, 131210, 2489, 2861, 5039, 611, 43980, 121273, 4598, 423, 1781, 2485, 128811, 121908, 363, 209, 88906, 128208, 8894, 2525, 28864, 26073, 7, 12, 27414, 573...	[ 0.1531982421875, 0.2418212890625, 0.253173828125, 0.1259765625, 0.2037353515625, 0.269287109375, 0.0797119140625, 0.1845703125, 0.1220703125, 0.16748046875, 0.1143798828125, 0.1014404296875, 0.152587890625, 0.0282745361328125, 0.172607421875, 0.1383056640625, 0.027435302734375, 0.1...	embed
76687792_c0	76687792	python	0	Title: Lookup column name in column Problem title: Lookup column name in column Tags: python-polars, python Problem: Lookup column name in column Code signals: Lookup, pl.DataFrame, i64	Lookup column name in column Lookup column name in column python-polars python Lookup pl.DataFrame i64 Lookup column name in column Say I have I want add a column which, for each row, take the value in the row corresponding to the column in column . Expected output:	[ 0.0216064453125, -0.004180908203125, 0.0152587890625, 0.039794921875, 0.00604248046875, 0.00946044921875, 0.013671875, 0.00982666015625, -0.006866455078125, 0.01397705078125, 0.0031890869140625, 0.00092315673828125, -0.033935546875, 0.0184326171875, -0.0238037109375, -0.001815795898437...	[ 60818, 2037, 3365, 316, 19, 9351, 23, 17198, 50828, 771, 320, 7, 6456, 137989, 108386, 17, 13307, 25916, 765, 3444, 15190, 100, 12638, 15555, 5646, 34292, 70, 42518, 5, 60075, 13, 140992 ]	[ 0.149658203125, 0.1796875, 0.1610107421875, 0.173095703125, 0.07159423828125, 0.1204833984375, 0.09161376953125, 0.040191650390625, 0.1053466796875, 0.112060546875, 0.1556396484375, 0.006256103515625, 0.06903076171875, 0.0126953125, 0.10479736328125, 0.00994873046875, 0.1851806640625...	embed
26541083_c0	26541083	python	0	Title: Python: How to get intervals by points Problem title: Python: How to get intervals by points Tags: python Problem: Python: How to get intervals by points Code signals: Python, How	Python: How to get intervals by points Python: How to get intervals by points python Python How Python: How to get intervals by points I have a list of points: How to generate all intervals in distance [0;1]? For example set of lists: And after I want check to which interval refer new input value. How to do it?	[ 0.008056640625, -0.0079345703125, 0.00469970703125, 0.024169921875, -0.0263671875, 0.0029449462890625, -0.0081787109375, -0.01171875, -0.007568359375, -0.025634765625, 0.00021457672119140625, -0.021484375, -0.0250244140625, 0.01348876953125, -0.00848388671875, 0.0133056640625, -0.009...	[ 145581, 12, 11249, 47, 2046, 51514, 7, 390, 26847, 17198, 50828, 87, 765, 5303, 139392, 756, 23, 62488, 2389, 74, 76172, 5423, 3444, 12765, 15005, 3525, 107730, 34292, 54 ]	[ 0.24072265625, 0.013916015625, 0.06903076171875, 0.05877685546875, 0.1290283203125, 0.275634765625, 0.1380615234375, 0.146484375, 0.2232666015625, 0.08544921875, 0.0977783203125, 0.018798828125, 0.0169830322265625, 0.11376953125, 0.13623046875, 0.063720703125, 0.002288818359375, 0....	embed
3205956_c0	3205956	python	0	Title: How to remove values from item list Problem title: How to remove values from item list Tags: python Problem: How to remove values from item list Code signals: item, How, rank_item	How to remove values from item list How to remove values from item list python item How rank_item How to remove values from item list I am new to python. I have a item list looks like this: The question is how do i remove the item list with value 0.0 and return	[ -0.0167236328125, -0.00067901611328125, -0.0201416015625, -0.009765625, -0.01953125, -0.0159912109375, -0.004180908203125, -0.004180908203125, 0.01806640625, 0.029296875, 0.032470703125, -0.00029754638671875, 0.0167236328125, -0.00156402587890625, -0.020263671875, -0.01104736328125, ...	[ 11249, 47, 87388, 142424, 1295, 35735, 5303, 17198, 50828, 30648, 217, 195, 444, 3525, 33342, 1884, 903, 9655, 3642, 54, 17, 70, 678, 34292, 89678, 30646 ]	[ 0.0897216796875, 0.09320068359375, 0.235107421875, 0.2291259765625, 0.160400390625, 0.221923828125, 0.20751953125, 0.1121826171875, 0.162353515625, 0.2139892578125, 0.1417236328125, 0.13037109375, 0.0147705078125, 0.06829833984375, 0.0947265625, 0.0450439453125, 0.02691650390625, 0...	embed
40387058_c0	40387058	python	0	Title: Need help in Parsing Data Problem title: Need help in Parsing Data Tags: shell, python, javascript, apache-pig Problem: Need help in Parsing Data Code signals: Need, Parsing, Data	Need help in Parsing Data Need help in Parsing Data shell python javascript apache-pig Need Parsing Data Need help in Parsing Data I have this format of data: And am looking for results in this format using pig/python/shell scripting. Can anyone help me with it?	[ 0.01275634765625, 0.0267333984375, -0.020263671875, 0.03515625, -0.0045166015625, 0.034912109375, -0.0086669921875, 0.0012054443359375, -0.00946044921875, -0.000598907470703125, -0.0186767578125, -0.01239013671875, -0.006195068359375, 0.006866455078125, -0.017578125, 0.0147705078125, ...	[ 52889, 4358, 23, 2392, 6953, 11809, 128019, 17198, 50828, 136951, 2241, 1430, 254, 872, 765, 903, 9384, 2053, 444, 16487, 100, 50339, 17368, 53408, 6493, 26499, 214, 4171, 35672, 163, 678 ]	[ 0.1610107421875, 0.177978515625, 0.07379150390625, 0.1851806640625, 0.1339111328125, 0.1890869140625, 0.1915283203125, 0.06719970703125, 0.1181640625, 0.1802978515625, 0.09808349609375, 0.0809326171875, 0.1190185546875, 0.1856689453125, 0.029571533203125, 0.0828857421875, 0.179931640...	embed
4152817_c0	4152817	python	0	Title: .npy reader for windows Problem title: .npy reader for windows Tags: python, numpy Problem: .npy reader for windows Does exist any .npy files reader/visualizer ? (for Windows)	.npy reader for windows .npy reader for windows python numpy .npy reader for windows Does exist any .npy files reader/visualizer ? (for Windows)	[ 0.00360107421875, -0.005096435546875, 0.006622314453125, -0.01275634765625, 0.01287841796875, -0.00457763671875, 0.02197265625, -0.0135498046875, -0.00994873046875, -0.0284423828125, 0.01904296875, 0.007293701171875, 0.0135498046875, -0.032958984375, 0.0048828125, -0.005126953125, 0....	[ 661, 19, 6493, 155255, 100, 54825, 17198, 50828, 13269, 32316, 2499, 5, 102158, 1824, 20605, 52825, 2472, 3773 ]	[ 0.06494140625, 0.10284423828125, 0.25927734375, 0.260498046875, 0.084228515625, 0.170654296875, 0.0653076171875, 0.1077880859375, 0.09564208984375, 0.09033203125, 0.050567626953125, 0.00384521484375, 0.1329345703125, 0.0977783203125, 0.1142578125, 0.1441650390625, 0.06109619140625, ...	embed
48423098_c0	48423098	python	0	Title: Plot curve using pyplot Problem title: Plot curve using pyplot Tags: python, matplotlib Problem: Plot curve using pyplot Code signals: pyplot, Plot, np.array, plt.xticks, plt.plot	Plot curve using pyplot Plot curve using pyplot python matplotlib pyplot Plot np.array plt.xticks plt.plot Plot curve using pyplot I have 2 curves with 5 data points: when I plot it, I expect 2 curves but get straight lines instead: How can I make pyplot plot curves like it should be? UPDATE: I use Python 3.5.2 and mat...	[ 0.007781982421875, 0.0126953125, -0.00396728515625, 0.003204345703125, -0.00408935546875, 0.000698089599609375, 0.005615234375, -0.0191650390625, 0.005584716796875, 0.0234375, -0.0184326171875, -0.033447265625, -0.01092529296875, -0.00106048583984375, -0.0179443359375, -0.0095825195312...	[ 168763, 9709, 272, 17368, 17198, 105710, 50828, 2589, 5612, 25037, 19305, 6456, 18, 118, 22824, 87, 765, 116, 3132, 190, 2053, 26847, 23577, 41206, 1284, 2046, 80560, 124519, 64457, 11249, 831, 3249, 1884, 5608, 186, 4527, 145581, 1031, 158...	[ 0.2227783203125, 0.18017578125, 0.159912109375, 0.0721435546875, 0.1243896484375, 0.273681640625, 0.1014404296875, 0.024261474609375, 0.1273193359375, 0.0147552490234375, 0.053009033203125, 0.073974609375, 0.0697021484375, 0.0270843505859375, 0.06884765625, 0.008026123046875, 0.00573...	embed
49697874_c0	49697874	python	0	Title: Create new column with means by group Problem title: Create new column with means by group Tags: pandas, python Problem: Create new column with means by group Code signals: Create	Create new column with means by group Create new column with means by group pandas python Create Create new column with means by group I want to create a new E column with next conditions, per each A group: E value will be B mean values where D=0 (in 2002-01-13 A group, E value will be mean between 180 and 220, that´s ...	[ 0.004974365234375, -0.006561279296875, -0.0289306640625, 0.0263671875, -0.006805419921875, 0.006622314453125, 0.00897216796875, 0.0028533935546875, 0.0162353515625, -0.0048828125, -0.013916015625, 0.00341796875, 0.03173828125, -0.006927490234375, -0.0281982421875, 0.0130615234375, -0...	[ 151313, 3525, 3365, 316, 19, 678, 26950, 390, 21115, 2652, 1124, 17198, 50828, 3444, 28282, 241, 11737, 27289, 12638, 62, 34292, 335, 29459, 142424, 391, 145407, 5726, 45669, 2681, 17721, 8719, 23336, 1781, 32316, 1369, 1542, 1723, 11343, 3...	[ 0.1156005859375, 0.1224365234375, 0.20068359375, 0.2174072265625, 0.141845703125, 0.07391357421875, 0.21484375, 0.138671875, 0.254638671875, 0.1103515625, 0.1182861328125, 0.0992431640625, 0.1607666015625, 0.076416015625, 0.1514892578125, 0.167236328125, 0.0543212890625, 0.18664550...	embed
52666429_c0	52666429	python	0	Title: Getting exception details Problem title: Getting exception details Tags: python Problem: Getting exception details Code signals: Getting, file.log, read_data, file.read, Exception	Getting exception details Getting exception details python Getting file.log read_data file.read Exception Getting exception details I know I can catch exceptions in python like: But how to get exception type or error message?	[ 0.0341796875, 0.036865234375, -0.01373291015625, -0.000347137451171875, 0.029052734375, -0.0022735595703125, 0.034423828125, -0.00732421875, -0.002838134765625, -0.00518798828125, 0.00830078125, -0.01519775390625, -0.01422119140625, -0.006988525390625, 0.0174560546875, -0.0055236816406...	[ 210732, 131527, 41653, 17198, 50828, 11435, 4867, 12301, 10135, 39116, 5443, 63928, 3714, 831, 105556, 7, 23, 1884, 3642, 2046, 10644, 707, 18499, 26008 ]	[ 0.0924072265625, 0.2332763671875, 0.2191162109375, 0.1083984375, 0.1878662109375, 0.0924072265625, 0.1297607421875, 0.11376953125, 0.0618896484375, 0.1363525390625, 0.079345703125, 0.207275390625, 0.0340576171875, 0.0247802734375, 0.12060546875, 0.0168304443359375, 0.0196380615234375...	embed
61684557_c0	61684557	python	0	Title: Pandas date range offset table Problem title: Pandas date range offset table Tags: pandas, python Problem: Pandas date range offset table Code signals: Pandas, Quantity, Date, NaN	Pandas date range offset table Pandas date range offset table pandas python Pandas Quantity Date NaN Pandas date range offset table Suppose I have a DataFrame with a single column indexed by date like so I want to convert this into a multi-column dataframe where each column represents the value at an offset from the in...	[ 0.006500244140625, -0.015625, -0.0093994140625, 0.01422119140625, -0.0081787109375, -0.0211181640625, 0.01031494140625, 0.004241943359375, -0.002532958984375, 0.0546875, -0.015869140625, -0.00592041015625, 0.021240234375, 0.0002460479736328125, 0.002685546875, -0.0019989013671875, -0...	[ 89308, 7, 5622, 37457, 5773, 3509, 23180, 2652, 1124, 17198, 50828, 75344, 2481, 25512, 353, 839, 121691, 11809, 108386, 282, 11001, 3365, 316, 63262, 390, 1884, 3444, 96760, 3934, 6024, 8447, 2053, 160328, 12638, 33636, 34292, 142, 1295, 3...	[ 0.1934814453125, 0.1015625, 0.134033203125, 0.1900634765625, 0.2225341796875, 0.1611328125, 0.2030029296875, 0.10247802734375, 0.149658203125, 0.0438232421875, 0.1343994140625, 0.088134765625, 0.028656005859375, 0.1168212890625, 0.0816650390625, 0.09027099609375, 0.014404296875, 0....	embed
73140803_c0	73140803	python	0	Title: Numpy array reshape element-wise Problem title: Numpy array reshape element-wise Tags: numpy, python, reshape, arrays Problem: Numpy array reshape element-wise Code signals: Numpy	Numpy array reshape element-wise Numpy array reshape element-wise numpy python reshape arrays Numpy Numpy array reshape element-wise I have a 3-D array size = (3,2,3) How to reshape to (3,3,2):	[ 0.0030670166015625, 0.01153564453125, -0.009521484375, -0.00121307373046875, 0.01373291015625, 0.0137939453125, -0.0007171630859375, 0.01409912109375, 0.011474609375, 0.025634765625, 0.00830078125, -0.023193359375, -0.007232666015625, 0.01519775390625, -0.0162353515625, -0.001449584960...	[ 52782, 6493, 10298, 53, 456, 2420, 1081, 12830, 90825, 13269, 17198, 50828, 4778, 87, 765, 5691, 397, 13267, 6896, 155761, 11249, 47, 363, 10461 ]	[ 0.178466796875, 0.2244873046875, 0.214599609375, 0.167236328125, 0.1513671875, 0.2442626953125, 0.158447265625, 0.145263671875, 0.2100830078125, 0.1585693359375, 0.06439208984375, 0.12841796875, 0.06005859375, 0.008544921875, 0.005126953125, 0.1466064453125, 0.10400390625, 0.144042...	embed
25775330_c0	25775330	python	0	Title: Python format Decimal near zero Problem title: Python format Decimal near zero Tags: decimal, python, numbers Problem: Python format Decimal near zero Code signals: decimal, Python	Python format Decimal near zero Python format Decimal near zero decimal python numbers decimal Python Python format Decimal near zero I'm trying to parse a near 0 number using the decimal.Decimal python module: What would be the best way to print "0.00000061" instead of "6.1E-7"?	[ -0.00274658203125, 0.006500244140625, -0.006744384765625, -0.00848388671875, 0.0033721923828125, -0.002288818359375, 0.0220947265625, 0.006500244140625, -0.0091552734375, 0.060791015625, -0.00958251953125, 0.00347900390625, -0.0162353515625, 0.0235595703125, 0.01544189453125, -0.013183...	[ 145581, 9384, 49132, 2749, 43573, 45234, 32380, 17198, 50828, 101935, 31577, 366, 184, 757, 14012, 4657, 318, 88996, 2965, 3917, 28412, 37509, 28568, 11540, 64457, 173245, 647, 16709 ]	[ 0.2198486328125, 0.1954345703125, 0.1600341796875, 0.1300048828125, 0.203125, 0.1796875, 0.146484375, 0.10467529296875, 0.1485595703125, 0.12939453125, 0.03363037109375, 0.10205078125, 0.06396484375, 0.146484375, 0.150390625, 0.0709228515625, 0.1160888671875, 0.1405029296875, 0.0...	embed
34395988_c1	34395988	python	1	:372, RRA:AVERAGE:0.5:144:732, RRA:MIN:0.5:1:288, RRA:MIN:0.5:6:336, RRA:MIN:0.5:24:372, RRA:MIN:0.5:144:732, RRA:MAX:0.5:1:288, RRA:MAX:0.5:6:336, RRA:MAX:0.5:24:372, RRA:MAX:0.5:144:732	:372, RRA:AVERAGE:0.5:144:732, RRA:MIN:0.5:1:288, RRA:MIN:0.5:6:336, RRA:MIN:0.5:24:372, RRA:MIN:0.5:144:732, RRA:MAX:0.5:1:288, RRA:MAX:0.5:6:336, RRA:MAX:0.5:24:372, RRA:MAX:0.5:144:732	[ -0.0084228515625, -0.00408935546875, 0.01055908203125, 0.0123291015625, 0.005645751953125, 0.005401611328125, 0.0230712890625, -0.01031494140625, 0.0205078125, 0.042236328125, -0.00170135498046875, -0.01171875, -0.006134033203125, -0.01214599609375, 0.00151824951171875, 0.0181884765625...	[ 152, 108265, 4, 627, 12280, 12, 284, 33255, 75930, 93645, 131663, 13574, 304, 84139, 19721, 103064, 910, 31191, 25732, 83948 ]	[ 0.1593017578125, 0.331298828125, 0.1640625, 0.1192626953125, 0.2384033203125, 0.1348876953125, 0.193115234375, 0.306884765625, 0.2222900390625, 0.236328125, 0.231689453125, 0.1810302734375, 0.1966552734375, 0.26416015625, 0.058837890625, 0.2120361328125, 0.162353515625, 0.139648437...	embed
45737574_c0	45737574	python	0	Title: percentile for datetime column python Problem title: percentile for datetime column python Tags: python, percentile, datetime, pandas Problem: percentile for datetime column python	percentile for datetime column python percentile for datetime column python python percentile datetime pandas percentile for datetime column python Is there a way to compute the percentile for a dataframe column with datetime format while still retaining the datetime format (Y-m-d H:M:S) and not converted to seconds fo...	[ 0.01312255859375, -0.00811767578125, 0.00013065338134765625, 0.020263671875, -0.0047607421875, -0.0245361328125, 0.006591796875, -0.00665283203125, -0.0250244140625, -0.0113525390625, -0.01007080078125, 0.017578125, 0.00628662109375, -0.00970458984375, -0.027587890625, -0.0090942382812...	[ 33297, 1340, 100, 5622, 6032, 3365, 316, 19, 17198, 50828, 2652, 1124, 10, 3917, 9969, 6743, 70, 2053, 160328, 678, 9384, 12960, 7464, 112033, 1723, 9, 71, 572, 12, 594, 294, 959, 117176, 47, 94131, 34292, 27781 ]	[ 0.254150390625, 0.2271728515625, 0.1080322265625, 0.119140625, 0.1790771484375, 0.11279296875, 0.1351318359375, 0.0212554931640625, 0.07794189453125, 0.1390380859375, 0.062103271484375, 0.116455078125, 0.00421142578125, 0.0675048828125, 0.11328125, 0.116943359375, 0.042236328125, 0...	embed
48660492_c0	48660492	python	0	Title: Merging 2 dictionaries in python Problem title: Merging 2 dictionaries in python Tags: python, dictionary Problem: Merging 2 dictionaries in python Code signals: Merging, rogs30541	Merging 2 dictionaries in python Merging 2 dictionaries in python python dictionary Merging rogs30541 Merging 2 dictionaries in python I have two dictionary: a= and b= i've tried to merge them with both a.update(b) and a={a, b} but both gives this output when i print(a): which is basicly a=b, how to merge A and B s...	[ 0.0059814453125, 0.0245361328125, -0.002899169921875, 0.0031585693359375, 0.000713348388671875, 0.00421142578125, -0.029052734375, 0.01416015625, -0.0020751953125, -0.0137939453125, 0.0169677734375, -0.002960205078125, -0.0074462890625, 0.006195068359375, 0.0111083984375, 0.00872802734...	[ 6035, 9966, 116, 45, 10763, 11, 10484, 23, 17198, 50828, 33906, 169920, 8894, 6626, 6635, 10, 1369, 136, 876, 37842, 42564, 2856, 15044, 117008, 275, 25442, 16459, 76199, 903, 140992, 28412, 132, 62822, 3642, 47, 62, 335, 83 ]	[ 0.206298828125, 0.1300048828125, 0.1826171875, 0.126953125, 0.181640625, 0.1097412109375, 0.1016845703125, 0.046173095703125, 0.132568359375, 0.166748046875, 0.1104736328125, 0.0655517578125, 0.0570068359375, 0.12939453125, 0.1219482421875, 0.0804443359375, 0.1661376953125, 0.12182...	embed
51218054_c0	51218054	python	0	Title: Nested loop on a list Problem title: Nested loop on a list Tags: python, python-3.x, loops, for-loop, list Problem: Nested loop on a list Code signals: Nested, q.append, python-3.x	Nested loop on a list Nested loop on a list python python-3.x loops for-loop list Nested q.append python-3.x Nested loop on a list see the code below: the desired output should be: but instead the output is: any thoughts why?	[ 0.0034637451171875, 0.015869140625, -0.00074005126953125, 0.015625, 0.01220703125, 0.01611328125, 0.01165771484375, 0.0155029296875, 0.0159912109375, -0.00640869140625, 0.00732421875, -0.0272216796875, 0.00531005859375, 0.035888671875, -0.038818359375, -0.00162506103515625, 0.0159912...	[ 28701, 71, 40956, 98, 5303, 10, 17198, 50828, 8316, 425, 100, 28354, 8096, 9007, 3611, 1957, 18151, 35064, 104851, 140992, 5608, 186, 1284, 64457, 83, 38514, 15400 ]	[ 0.266357421875, 0.137939453125, 0.228515625, 0.1307373046875, 0.2303466796875, 0.02227783203125, 0.068115234375, 0.1270751953125, 0.0953369140625, 0.07501220703125, 0.109130859375, 0.165283203125, 0.1405029296875, 0.0902099609375, 0.0711669921875, 0.0389404296875, 0.08251953125, 0....	embed
60848474_c1	60848474	python	1	-03-09 2 C 2019-03-09 3 D 2020-01-02 4 E 2020-01-17 5 H 2019-10-05 6 I 2018-03-09 7 J 2020-01-21 8 K 2019-03-08 9 L 2019-02-12 Code signals: dataframe, Remove, March, Feb, PORTFOLIO, DATE	-03-09 2 C 2019-03-09 3 D 2020-01-02 4 E 2020-01-17 5 H 2019-10-05 6 I 2018-03-09 7 J 2020-01-21 8 K 2019-03-08 9 L 2019-02-12 Code signals: dataframe, Remove, March, Feb, PORTFOLIO, DATE	[ 0.00946044921875, 0.01214599609375, -0.01104736328125, 0.034423828125, -0.00726318359375, -0.003997802734375, -0.003936767578125, 0.032470703125, 0.01953125, 0.058837890625, -0.0164794921875, -0.0262451171875, 0.0081787109375, -0.0030517578125, -0.00830078125, 0.016845703125, 0.00357...	[ 37151, 6463, 116, 313, 3640, 138, 391, 11075, 45669, 201, 241, 190, 572, 52486, 305, 87, 267, 361, 821, 382, 341, 483, 339, 43627, 1530, 28864, 26073, 7, 12, 2053, 160328, 181139, 11994, 43677, 122390, 172155, 17780, 35746 ]	[ 0.1656494140625, 0.1529541015625, 0.05059814453125, 0.08056640625, 0.129638671875, 0.04241943359375, 0.1148681640625, 0.087646484375, 0.029937744140625, 0.022003173828125, 0.04132080078125, 0.027984619140625, 0.0689697265625, 0.01727294921875, 0.05584716796875, 0.050811767578125, 0.0...	embed
62181704_c0	62181704	python	0	Title: How to split .txt according the column? Problem title: How to split .txt according the column? Tags: text, python Problem: How to split .txt according the column? Code signals: How	How to split .txt according the column? How to split .txt according the column? text python How How to split .txt according the column? I have a file.txt and it looks like: and I want to split it into three columns with data type string.(without using for-loop)	[ 0.00384521484375, -0.0299072265625, -0.00396728515625, 0.037353515625, -0.0181884765625, -0.00921630859375, 0.0211181640625, 0.00238037109375, -0.01068115234375, -0.0019378662109375, -0.015869140625, 0.0019073486328125, -0.0341796875, 0.0023040771484375, -0.007354736328125, -0.00454711...	[ 11249, 47, 65450, 5, 124326, 59499, 70, 3365, 316, 19, 32, 6, 7986, 17198, 50828, 11435, 33342, 1884, 3444, 3934, 17262, 1779, 2053, 10644, 79315, 6056, 100, 28354 ]	[ 0.087158203125, 0.091064453125, 0.218017578125, 0.085693359375, 0.275390625, 0.1556396484375, 0.03863525390625, 0.1610107421875, 0.17529296875, 0.0751953125, 0.004669189453125, 0.000396728515625, 0.1258544921875, 0.05517578125, 0.107666015625, 0.12158203125, 0.10150146484375, 0.063...	embed
58200914_c0	58200914	python	0	Title: For loop adds 20 minutes till the time is 17:16 Problem title: For loop adds 20 minutes till the time is 17:16 Tags: python Problem: For loop adds 20 minutes till the time is 17:16	For loop adds 20 minutes till the time is 17:16 For loop adds 20 minutes till the time is 17:16 python For loop adds 20 minutes till the time is 17:16 I want my code to print: The train will leave at 13:36 tomorrow . . The train will leave at 17:16 tomorrow Asuming that trains leave every 20 minutes. Here is what i hav...	[ 0.007354736328125, -0.0302734375, -0.021484375, 0.020751953125, -0.0159912109375, -0.0223388671875, -0.0262451171875, 0.004852294921875, 0.0032958984375, -0.009521484375, 0.0218505859375, -0.001708984375, 0.003692626953125, 0.02734375, 0.0030670166015625, -0.007049560546875, 0.011901...	[ 1326, 40956, 15190, 387, 14633, 570, 70, 1733, 729, 22354, 83, 17198, 50828, 3444, 18151, 28412, 581, 25550, 31358, 99, 702, 32944, 127773, 316, 7, 11907, 5, 9790, 2060, 51042, 3371, 86531, 18468, 31611, 831, 18, 95486, 47, 39933, 444, ...	[ 0.16015625, 0.22265625, 0.187255859375, 0.1939697265625, 0.268310546875, 0.130615234375, 0.021331787109375, 0.1820068359375, 0.1478271484375, 0.256591796875, 0.015167236328125, 0.08843994140625, 0.1630859375, 0.05352783203125, 0.1629638671875, 0.1793212890625, 0.00531005859375, 0.2...	embed
64502972_c3	64502972	python	3	32HwgiQGN, UjM, uzxy4E, _dc_gtm_UA-61915055-6, SPC_CT_75d7a2b7, t5FvxXhnJacZrKkjnIWCUbAgAxAQ3hG5c1tZBzafwc4, SPC_R_T_ID, n6Ek85JJY1JZATlhgutfB4KB3qrbmFDYX1, udv1EBAPegPE9xuzM8HFeCy1duskY9	32HwgiQGN, UjM, uzxy4E, _dc_gtm_UA-61915055-6, SPC_CT_75d7a2b7, t5FvxXhnJacZrKkjnIWCUbAgAxAQ3hG5c1tZBzafwc4, SPC_R_T_ID, n6Ek85JJY1JZATlhgutfB4KB3qrbmFDYX1, udv1EBAPegPE9xuzM8HFeCy1duskY9	[ -0.005584716796875, 0.01904296875, 0.0189208984375, -0.03564453125, 0.003570556640625, -0.006866455078125, 0.020751953125, -0.00799560546875, 0.0125732421875, -0.0152587890625, -0.00933837890625, -0.00714111328125, 0.00628662109375, -0.025390625, -0.00994873046875, 0.01055908203125, ...	[ 2789, 841, 434, 735, 2737, 88858, 4, 124064, 594, 958, 50878, 617, 647, 101, 238, 5386, 39, 454, 20004, 13545, 2947, 19236, 11663, 159, 12233, 43379, 6873, 966, 808, 758, 127, 19, 6979, 275, 724, 18, 571, 420, 618, 7146, 653, 910, 1...	[ 0.295166015625, 0.1075439453125, 0.09637451171875, 0.13720703125, 0.1400146484375, 0.2196044921875, 0.1168212890625, 0.1868896484375, 0.193115234375, 0.153564453125, 0.193603515625, 0.1529541015625, 0.1156005859375, 0.07373046875, 0.078369140625, 0.06207275390625, 0.1038818359375, ...	embed
72090234_c0	72090234	python	0	Title: Extract a specific word from a list Problem title: Extract a specific word from a list Tags: list, python Problem: Extract a specific word from a list Code signals: a, Extract, Tap	Extract a specific word from a list Extract a specific word from a list list python a Extract Tap Extract a specific word from a list This is the output of my code and I want to extract the Tap word and store it separately.	[ 0.0185546875, -0.005645751953125, 0.0089111328125, 0.01385498046875, -0.011474609375, 0.01043701171875, 0.00921630859375, 0.01483154296875, 0.004241943359375, 0.0250244140625, 0.004119873046875, -0.0179443359375, -0.00579833984375, 0.02783203125, -0.025390625, -0.0028076171875, 0.026...	[ 31501, 15390, 29458, 2565, 1295, 5303, 17198, 50828, 10, 50266, 140992, 18151, 3444, 125663, 4343, 84797 ]	[ 0.2044677734375, 0.095703125, 0.200927734375, 0.18701171875, 0.1099853515625, 0.204345703125, 0.10052490234375, 0.1412353515625, 0.044189453125, 0.22998046875, 0.090576171875, 0.077880859375, 0.05804443359375, 0.186279296875, 0.1373291015625, 0.1180419921875 ]	embed
38246155_c2	38246155	python	2	09.05.2016 77138e9245857e5449e9474293e31e19 10.05.2016 Code signals: different, pandas, How, pd.merge, left_on, right_on, bc8a731e4c7e6f6b96e56ebe7f766bcd, a703114aa8a03495c3e042647212fa63	09.05.2016 77138e9245857e5449e9474293e31e19 10.05.2016 Code signals: different, pandas, How, pd.merge, left_on, right_on, bc8a731e4c7e6f6b96e56ebe7f766bcd, a703114aa8a03495c3e042647212fa63	[ 0.01361083984375, 0.01116943359375, 0.0017852783203125, 0.0091552734375, 0.000255584716796875, 0.006317138671875, -0.013671875, 0.008056640625, 0.0042724609375, -0.00592041015625, -0.00799560546875, -0.0107421875, 0.011962890625, 0.01019287109375, 0.009033203125, -0.0184326171875, -0...	[ 3894, 20806, 4131, 14154, 141535, 1126, 2357, 10057, 12243, 155103, 14889, 184376, 5016, 2947, 209, 28864, 26073, 7, 12, 12921, 2652, 1124, 11249, 915, 71, 5, 1991, 429, 25737, 454, 191, 7108, 65037, 1019, 11, 11648, 13683, 53574, 420, 17...	[ 0.0192108154296875, 0.1318359375, 0.144775390625, 0.1146240234375, 0.1231689453125, 0.01123046875, 0.032623291015625, 0.009246826171875, 0.0196990966796875, 0.124755859375, 0.041839599609375, 0.0282745361328125, 0.09228515625, 0.082275390625, 0.05706787109375, 0.2489013671875, 0.2841...	embed
40313483_c0	40313483	python	0	Title: Pythonic way to group list by key Problem title: Pythonic way to group list by key Tags: list-comprehension, python Problem: Pythonic way to group list by key Code signals: Pythonic	Pythonic way to group list by key Pythonic way to group list by key list-comprehension python Pythonic Pythonic way to group list by key I have a list that looks like this: What is the most "pythonic" way of turning this into: I know how to do it using for loops and such, but I'm after a cleaner approach.	[ -0.0111083984375, 0.0026092529296875, 0.004119873046875, -0.0281982421875, 0.003936767578125, -0.00579833984375, -0.000209808349609375, 0.0133056640625, 0.00885009765625, 0.01129150390625, -0.01806640625, -0.005767822265625, 0.0108642578125, 0.0103759765625, -0.040771484375, 0.00982666...	[ 145581, 1771, 3917, 47, 21115, 5303, 390, 22799, 4692, 3220, 17198, 50828, 765, 10, 33342, 1884, 903, 2684, 88615, 497, 6402, 174548, 3934, 3714, 54, 100, 40956, 7103, 46622, 56, 51515 ]	[ 0.1988525390625, 0.147705078125, 0.1273193359375, 0.0645751953125, 0.2406005859375, 0.2467041015625, 0.119140625, 0.269775390625, 0.060394287109375, 0.05328369140625, 0.0843505859375, 0.109619140625, 0.045196533203125, 0.026885986328125, 0.149169921875, 0.0904541015625, 0.06469726562...	embed
41033363_c0	41033363	python	0	Title: weird behavior of python 2.7 swap Problem title: weird behavior of python 2.7 swap Tags: python, list, python-2.7 Problem: weird behavior of python 2.7 swap Code signals: python-2.7	weird behavior of python 2.7 swap weird behavior of python 2.7 swap python list python-2.7 python-2.7 weird behavior of python 2.7 swap I want to swap the 1st element ( 4 ) with the 3rd element ( 1 ) for list [-1,4,3,1] , I expect output is [-1, 1, 3, 4] , but why output is [4, 1, 3, 1] ? Using Python 2.7.	[ 0.00482177734375, 0.012451171875, -0.0179443359375, 0.00579833984375, -0.0224609375, -0.0004673004150390625, -0.0206298828125, 0.007720947265625, -0.006927490234375, 0.0390625, 0.01153564453125, 0.012451171875, 0.007568359375, 0.004547119140625, -0.0047607421875, -0.015869140625, 0.0...	[ 179459, 123166, 17198, 50828, 787, 966, 202317, 111, 5303, 5428, 3444, 47, 106, 271, 12830, 201, 678, 138, 4216, 100, 9, 163324, 363, 76172, 41206, 140992, 83, 5759, 1284, 15400, 378, 617, 345, 145581, 116, 53489 ]	[ 0.225341796875, 0.19384765625, 0.128662109375, 0.169677734375, 0.135498046875, 0.1806640625, 0.29150390625, 0.044464111328125, 0.21826171875, 0.0435791015625, 0.116943359375, 0.067626953125, 0.06170654296875, 0.0491943359375, 0.1861572265625, 0.166015625, 0.12451171875, 0.140380859...	embed
41910947_c0	41910947	python	0	Title: How do I make a grid in python? Problem title: How do I make a grid in python? Tags: grid, python Problem: How do I make a grid in python? Code signals: How, row.append, grid.append	How do I make a grid in python? How do I make a grid in python? grid python How row.append grid.append How do I make a grid in python? This is my code It's not working and i don't know why. This is what i get when i put 5 width and 5 height: That's fine and all but when i change the bottom left dot by using this: grid[...	[ -0.01220703125, 0.0301513671875, 0.0230712890625, 0.0179443359375, -0.007049560546875, -0.000614166259765625, 0.0031280517578125, 0.003814697265625, 0.0205078125, 0.0027313232421875, 0.025390625, -0.0279541015625, -0.01470947265625, 0.0159912109375, -0.031494140625, -0.00677490234375, ...	[ 11249, 54, 87, 3249, 10, 6, 120067, 23, 17198, 50828, 15555, 9007, 3611, 18151, 959, 20697, 3714, 15400, 2046, 3884, 190, 146984, 136, 155955, 5885, 1284, 15549, 103136, 25737, 20633, 17368, 903, 2389, 29839, 11, 96276, 5351, 5303, 83, 79...	[ 0.094970703125, 0.0198516845703125, 0.037933349609375, 0.1578369140625, 0.1123046875, 0.03936767578125, 0.329833984375, 0.0963134765625, 0.150634765625, 0.206298828125, 0.17236328125, 0.0960693359375, 0.0985107421875, 0.1343994140625, 0.07147216796875, 0.118408203125, 0.0380554199218...	embed
42078055_c0	42078055	python	0	Title: numpy: get indices value in a separate column Problem title: numpy: get indices value in a separate column Tags: numpy, python Problem: numpy: get indices value in a separate column	numpy: get indices value in a separate column numpy: get indices value in a separate column numpy python numpy: get indices value in a separate column How to get indices value in a separate column as effienctly as possible? i know how to do this in a loop, but i wonder what other ways there are? from this ndarray to th...	[ 0.0155029296875, -0.03564453125, 0.012939453125, 0.01287841796875, -0.01275634765625, -0.0205078125, 0.011474609375, 0.011962890625, 0.00714111328125, 0.011474609375, -0.002197265625, 0.00537109375, -0.023681640625, 0.002593994140625, -0.02490234375, -0.01214599609375, 0.003021240234...	[ 13269, 6493, 2046, 136044, 7, 34292, 23, 84797, 3365, 316, 12, 10, 17198, 50828, 11249, 47, 19, 24500, 15390, 7722, 3714, 3642, 54, 903, 40956, 32195, 48322, 17603, 7092 ]	[ 0.1259765625, 0.2176513671875, 0.119384765625, 0.23291015625, 0.114501953125, 0.186767578125, 0.06964111328125, 0.1903076171875, 0.1270751953125, 0.152099609375, 0.005859375, 0.007781982421875, 0.05108642578125, 0.095703125, 0.029296875, 0.0151824951171875, 0.0567626953125, 0.03848...	embed
60413710_c0	60413710	python	0	Title: Combine two numpy array together Problem title: Combine two numpy array together Tags: numpy-ndarray, python Problem: Combine two numpy array together Code signals: Combine, float32	Combine two numpy array together Combine two numpy array together numpy-ndarray python Combine float32 Combine two numpy array together I have two numpy array like this, this is the first one, called "pred_test" and this is the second one, called "pred_train" How can i combine the two array to look like pred_train + pr...	[ 0.007354736328125, 0.023193359375, -0.000274658203125, 0.0189208984375, 0.0087890625, 0.01190185546875, 0.002105712890625, 0.01361083984375, 0.0185546875, 0.0145263671875, -0.00555419921875, 0.00457763671875, 0.0064697265625, 0.0145263671875, -0.01214599609375, -0.00457763671875, -0....	[ 106935, 86, 6626, 13269, 6493, 10298, 53, 25842, 17603, 7092, 17198, 50828, 21917, 6460, 1884, 903, 5117, 19714, 6954, 17932, 1517, 73, 11249, 831, 17, 70163, 47, 6713, 1653, 997, 3034, 4358 ]	[ 0.23486328125, 0.10211181640625, 0.1563720703125, 0.1434326171875, 0.1893310546875, 0.2159423828125, 0.1507568359375, 0.1890869140625, 0.04913330078125, 0.197265625, 0.0628662109375, 0.154296875, 0.1085205078125, 0.1678466796875, 0.09283447265625, 0.03240966796875, 0.023101806640625,...	embed
65834907_c1	65834907	python	1	hacky. Code signals: Pandas, Styler, CSS, T_394319f6_5c20_11eb_832b_04ed338ce712row0_col6, T_394319f6_5c20_11eb_832b_04ed338ce712row0_col7, T_394319f6_5c20_11eb_832b_04ed338ce712row1_col6	hacky. Code signals: Pandas, Styler, CSS, T_394319f6_5c20_11eb_832b_04ed338ce712row0_col6, T_394319f6_5c20_11eb_832b_04ed338ce712row0_col7, T_394319f6_5c20_11eb_832b_04ed338ce712row1_col6	[ 0.005859375, 0.005859375, -0.00421142578125, 0.023681640625, -0.0003223419189453125, -0.033447265625, 0.02294921875, -0.00445556640625, -0.0032806396484375, 0.02001953125, -0.00872802734375, 0.00141143798828125, 0.00836181640625, 0.0155029296875, -0.0015869140625, 0.00616455078125, 0...	[ 85526, 53, 5, 28864, 26073, 7, 12, 89308, 4, 57845, 42, 59279, 384, 454, 161787, 363, 2947, 910, 1549, 1662, 6403, 17168, 275, 7709, 297, 128222, 1530, 15555, 2389, 8447, 329, 238 ]	[ 0.258544921875, 0.24609375, 0.1005859375, 0.275634765625, 0.291015625, 0.153076171875, 0.038299560546875, 0.2257080078125, 0.0321044921875, 0.218994140625, 0.1732177734375, 0.2318115234375, 0.0970458984375, 0.0194091796875, 0.115478515625, 0.0228729248046875, 0.07586669921875, 0.07...	embed
73155257_c0	73155257	python	0	Title: Get definite values from string Problem title: Get definite values from string Tags: python Problem: Get definite values from string Code signals: string, Get, jira.zxz.su, SEO, HKK	Get definite values from string Get definite values from string python string Get jira.zxz.su SEO HKK Get definite values from string I need to get the values of 'name' from such string I want to get an output like 'SEO','HKK' all in one string.	[ -0.0098876953125, 0.008056640625, -0.0252685546875, 0.0213623046875, -0.0107421875, -0.0174560546875, 0.0203857421875, -0.00994873046875, 0.0101318359375, 0.026123046875, -0.007171630859375, 0.01007080078125, -0.01904296875, 0.006317138671875, -0.0021514892578125, 0.021728515625, 0.0...	[ 20779, 71496, 13, 142424, 1295, 79315, 17198, 50828, 24552, 169, 425, 1159, 15284, 572, 28812, 3871, 2046, 70, 111, 11627, 6044, 3444, 140992, 1884, 89236, 841, 756, 23, 1632 ]	[ 0.1192626953125, 0.25732421875, 0.151611328125, 0.234619140625, 0.153564453125, 0.235107421875, 0.089599609375, 0.1595458984375, 0.2362060546875, 0.084228515625, 0.035797119140625, 0.1552734375, 0.222900390625, 0.0855712890625, 0.22509765625, 0.09527587890625, 0.1177978515625, 0.00...	embed
77961293_c0	77961293	python	0	Title: Only first elif statement triggering Problem title: Only first elif statement triggering Tags: python Problem: Only first elif statement triggering Code signals: Only, Please, Error	Only first elif statement triggering Only first elif statement triggering python Only Please Error Only first elif statement triggering This code below works as intended for the if and first elif statement. But if I try and trigger the statements below Python doesn't return anything at all, not even an error code. Trie...	[ -0.00360107421875, 0.01373291015625, -0.0172119140625, 0.0016326904296875, 0.0081787109375, -0.00177001953125, 0.005279541015625, 0.0257568359375, -0.0040283203125, 0.01470947265625, -0.00860595703125, -0.00927734375, -0.00860595703125, 0.0234375, -0.007293701171875, 0.01312255859375, ...	[ 87293, 5117, 88, 3190, 63805, 185553, 17198, 50828, 30607, 212059, 18151, 35064, 43240, 179140, 2174, 4966, 9790, 70, 145581, 22027, 18, 30646, 23937, 756, 18499, 4699, 22, 33558, 14012, 977, 757, 5757, 41206, 28412, 175399, 176377, 33720, 95...	[ 0.1495361328125, 0.1480712890625, 0.105712890625, 0.2215576171875, 0.22998046875, 0.227294921875, 0.1107177734375, 0.1575927734375, 0.208740234375, 0.2227783203125, 0.123291015625, 0.1446533203125, 0.080078125, 0.094970703125, 0.1624755859375, 0.011077880859375, 0.0665283203125, 0....	embed
33657522_c0	33657522	python	0	Title: Pandas - non overlapping group members Problem title: Pandas - non overlapping group members Tags: pandas, python Problem: Pandas - non overlapping group members Code signals: Pandas	Pandas - non overlapping group members Pandas - non overlapping group members pandas python Pandas Pandas - non overlapping group members I have the following dataframe: The data is ordered by the id and the score. id represents a sequence of DNA. Start and end represent positions in id and I would like to keep non ove...	[ 0.00848388671875, -0.005035400390625, 0.00092315673828125, 0.003570556640625, -0.0113525390625, -0.006072998046875, 0.002685546875, -0.016845703125, -0.0062255859375, 0.0380859375, -0.005340576171875, -0.011474609375, 0.0234375, 0.01397705078125, -0.0035400390625, 0.032470703125, -0....	[ 89308, 7, 351, 645, 143, 26783, 21115, 43032, 2652, 1124, 17198, 50828, 765, 25632, 2053, 160328, 12989, 390, 3447, 47763, 33636, 944, 27583, 13794, 136, 3564, 19069, 2806, 1884, 47, 13695, 28756, 5170, 1295, 4734, 167375, 30648, 25647 ]	[ 0.2044677734375, 0.059295654296875, 0.1634521484375, 0.12255859375, 0.165283203125, 0.132568359375, 0.183837890625, 0.190185546875, 0.07318115234375, 0.08441162109375, 0.05023193359375, 0.11767578125, 0.00445556640625, 0.055145263671875, 0.131103515625, 0.22998046875, 0.165771484375,...	embed
38300461_c0	38300461	python	0	Title: Pandas: how to merge df with condition Problem title: Pandas: how to merge df with condition Tags: pandas, python Problem: Pandas: how to merge df with condition Code signals: Pandas	Pandas: how to merge df with condition Pandas: how to merge df with condition pandas python Pandas Pandas: how to merge df with condition I have df and second df I need, if number, A, B is equal to this column in second df, add that to new df and also add string with C is equal string, that we add earlier. Desire outpu...	[ 0.01361083984375, 0.0198974609375, -0.0037384033203125, 0.00726318359375, 0.0019683837890625, -0.01348876953125, -0.00628662109375, 0.00677490234375, -0.006500244140625, 0.033935546875, -0.00014781951904296875, -0.0294189453125, 0.00927734375, 0.005889892578125, 0.01214599609375, 0.011...	[ 89308, 7, 3642, 47, 42564, 104, 420, 678, 35431, 12, 2652, 1124, 17198, 50828, 136, 17932, 3871, 2174, 14012, 62, 4, 335, 105950, 903, 3365, 316, 15190, 3525, 79315, 313, 110680, 56656, 107, 140992, 831, 33022 ]	[ 0.1478271484375, 0.056060791015625, 0.0484619140625, 0.046295166015625, 0.2313232421875, 0.10498046875, 0.2091064453125, 0.141357421875, 0.23681640625, 0.000946044921875, 0.05908203125, 0.050384521484375, 0.03692626953125, 0.08154296875, 0.01922607421875, 0.1529541015625, 0.075561523...	embed
44859182_c0	44859182	python	0	Title: How to convert a list into a 2d matrix? Problem title: How to convert a list into a 2d matrix? Tags: python Problem: How to convert a list into a 2d matrix? Code signals: How, p0-p10	How to convert a list into a 2d matrix? How to convert a list into a 2d matrix? python How p0-p10 How to convert a list into a 2d matrix? I have my data in form of list but for easy access I need them to be in matrix of 11 rows known as p0-p10 and 4 columns as a,b,c,d . This is my data: I have tried with numpy but it's...	[ 0.0050048828125, 0.006378173828125, -0.00390625, 0.0172119140625, 0.008544921875, 0.01513671875, -0.022216796875, 0.005279541015625, 0.0257568359375, 0.0269775390625, 0.01611328125, -0.03857421875, 0.0172119140625, 0.01220703125, -0.049560546875, -0.01177978515625, 0.0167236328125, ...	[ 11249, 47, 96760, 10, 5303, 3934, 116, 71, 50944, 425, 17198, 50828, 915, 2389, 254, 963, 759, 2053, 3173, 23468, 17203, 3871, 186, 23, 111, 534, 15555, 136, 201, 3365, 316, 237, 275, 37842, 678, 13269, 6493, 1284, 959, 20697, 55300 ]	[ 0.0968017578125, 0.08837890625, 0.1875, 0.0843505859375, 0.27734375, 0.1326904296875, 0.1705322265625, 0.164794921875, 0.2364501953125, 0.148681640625, 0.065673828125, 0.12939453125, 0.03802490234375, 0.126708984375, 0.041015625, 0.19384765625, 0.022247314453125, 0.1317138671875, ...	embed
47173925_c0	47173925	python	0	Title: calculate acceleration given speed Problem title: calculate acceleration given speed Tags: data-science, python, physics, datetime, pandas Problem: calculate acceleration given speed	calculate acceleration given speed calculate acceleration given speed data-science python physics datetime pandas calculate acceleration given speed Sorry if this seems like a stupid question, I have a dataset which looks like this Im not exactly sure how to approach this,calculating acceleration requires taking differ...	[ 0.00982666015625, 0.0107421875, -0.0115966796875, 0.00909423828125, 0.00506591796875, -0.047119140625, 0.003875732421875, 0.0164794921875, 0.008056640625, -0.023193359375, 0.0155029296875, -0.010009765625, -0.0208740234375, -0.0098876953125, 0.005584716796875, 0.013671875, -0.0046386...	[ 74481, 67, 197108, 1830, 34475, 38352, 2053, 9, 175201, 17198, 50828, 34053, 27744, 5622, 6032, 2652, 1124, 90502, 2174, 37202, 110833, 9655, 765, 3509, 33342, 1884, 903, 3370, 959, 66161, 9077, 3642, 51515, 6827, 16735, 1916, 144570, 35971, ...	[ 0.21435546875, 0.1241455078125, 0.27001953125, 0.1884765625, 0.17236328125, 0.2169189453125, 0.093505859375, 0.0028076171875, 0.10162353515625, 0.0709228515625, 0.1549072265625, 0.0224609375, 0.037506103515625, 0.05291748046875, 0.103515625, 0.093017578125, 0.128662109375, 0.078979...	embed
5206466_c0	5206466	python	0	Title: Why empty string is on every string? Problem title: Why empty string is on every string? Tags: string, python Problem: Why empty string is on every string? Code signals: Why, s.index	Why empty string is on every string? Why empty string is on every string? string python Why s.index Why empty string is on every string? For example:	[ 0.00072479248046875, -0.0021820068359375, 0.000545501708984375, 0.00836181640625, -0.0255126953125, -0.0024566650390625, 0.0184326171875, -0.01312255859375, 0.02001953125, 0.0177001953125, 0.007659912109375, -0.024658203125, -0.025390625, 0.0257568359375, 0.01165771484375, 0.0101928710...	[ 44084, 201505, 79315, 83, 98, 11907, 17198, 50828, 91, 5, 4711 ]	[ 0.1146240234375, 0.23046875, 0.24609375, 0.059967041015625, 0.117919921875, 0.1397705078125, 0.00830078125, 0.125, 0.0882568359375, 0.001922607421875, 0.189208984375 ]	embed
60721703_c0	60721703	python	0	Title: add an array to existing data frame in python Problem title: add an array to existing data frame in python Tags: pandas, python Problem: add an array to existing data frame in python	add an array to existing data frame in python add an array to existing data frame in python pandas python add an array to existing data frame in python I have an array like i want to add this as a column to my existing data frame of same number of rows as that of array.	[ 0.0322265625, 0.03662109375, -0.01251220703125, 0.017822265625, 0.000934600830078125, -0.00457763671875, -0.005767822265625, 0.005340576171875, -0.006500244140625, -0.006256103515625, 0.016845703125, -0.0194091796875, -0.01409912109375, -0.01458740234375, -0.003326416015625, -0.0057983...	[ 15190, 142, 10298, 53, 47, 144573, 2053, 123789, 23, 17198, 50828, 2652, 1124, 87, 765, 1884, 3444, 903, 237, 10, 3365, 316, 19, 5701, 14012, 15555, 111 ]	[ 0.1612548828125, 0.0753173828125, 0.2335205078125, 0.2025146484375, 0.1617431640625, 0.2236328125, 0.1474609375, 0.2274169921875, 0.0679931640625, 0.1380615234375, 0.1859130859375, 0.115234375, 0.1173095703125, 0.004058837890625, 0.0148162841796875, 0.0499267578125, 0.084716796875, ...	embed
63449958_c0	63449958	python	0	Title: Rearrange a table in python Problem title: Rearrange a table in python Tags: datatable, numpy, pandas, python Problem: Rearrange a table in python Code signals: Rearrange, Name, Area	Rearrange a table in python Rearrange a table in python datatable numpy pandas python Rearrange Name Area Rearrange a table in python I have a table (example_table.txt) with more than 700 of rows. Each row contains the value corresponding to 17 different classes. I want to rearrange my table in the following manner (De...	[ 0.0279541015625, 0.0118408203125, 0.005889892578125, 0.0294189453125, 0.00019168853759765625, -0.01263427734375, 0.01190185546875, 0.0218505859375, 0.0030364990234375, 0.048828125, 0.0019378662109375, 0.01556396484375, -0.01416015625, 0.017333984375, -0.0179443359375, 0.005340576171875...	[ 853, 147, 94250, 10, 23180, 23, 17198, 50828, 2053, 22819, 13269, 6493, 2652, 1124, 15757, 79200, 87, 765, 3355, 11, 33209, 5, 124326, 678, 1286, 3501, 10044, 111, 15555, 98423, 70541, 34292, 42518, 729, 12921, 61112, 3444, 456, 25632, 14...	[ 0.1248779296875, 0.1767578125, 0.2142333984375, 0.030975341796875, 0.26806640625, 0.0726318359375, 0.1376953125, 0.1695556640625, 0.1180419921875, 0.2005615234375, 0.0997314453125, 0.139892578125, 0.0992431640625, 0.1075439453125, 0.124755859375, 0.1478271484375, 0.03839111328125, ...	embed
73984584_c0	73984584	python	0	Title: Probability density of data matrix Problem title: Probability density of data matrix Tags: python, gnuplot, bash Problem: Probability density of data matrix Code signals: Probability	Probability density of data matrix Probability density of data matrix python gnuplot bash Probability Probability density of data matrix I have a data file like this: I would like to plot volumes vs probability like the following: Is there any effective python module or bash shell+gnuplot function to deal with this pro...	[ 0.01165771484375, 0.00885009765625, -0.01116943359375, -0.00140380859375, -0.00185394287109375, -0.0033416748046875, 0.022216796875, 0.002685546875, -0.0019989013671875, -0.02490234375, -0.00982666015625, 0.00347900390625, 0.0037078857421875, 0.01116943359375, -0.00946044921875, 0.0184...	[ 152990, 2481, 168, 7, 111, 2053, 50944, 425, 17198, 50828, 104155, 105710, 87109, 87, 765, 11435, 1884, 903, 2806, 47, 23577, 21950, 20209, 37242, 25632, 60266, 88996, 128019, 1328, 32354, 35142, 2967 ]	[ 0.2239990234375, 0.134033203125, 0.2264404296875, 0.127197265625, 0.0596923828125, 0.1385498046875, 0.1954345703125, 0.0574951171875, 0.0904541015625, 0.1513671875, 0.1533203125, 0.2314453125, 0.1578369140625, 0.00372314453125, 0.004913330078125, 0.1190185546875, 0.065185546875, 0....	embed

23917087_c0

23917087

python

0

Title: Cut by time in pandas Problem title: Cut by time in pandas Tags: numpy, pandas, python Problem: Cut by time in pandas Code signals: Cut, Series, s.groupby, x.time, int64

Cut by time in pandas Cut by time in pandas numpy pandas python Cut Series s.groupby x.time int64 Cut by time in pandas Is there more efficient method of grouping by time intervals than this? Here I want to group by [00:00 - 12:00), [12:00 - 16:00), [16:00 - 00:00) Also, I'd like to label new index values with last dat...

[ 0.031494140625, -0.004608154296875, 0.018310546875, 0.003692626953125, 0.0035247802734375, -0.0201416015625, -0.006439208984375, 0.006378173828125, -0.00994873046875, -0.005859375, -0.021240234375, 0.0012054443359375, -0.0019989013671875, -0.01043701171875, -0.0103759765625, 0.00903320...

[ 3003, 18, 390, 1733, 23, 2652, 1124, 13269, 6493, 17198, 50828, 64876, 91, 51588, 1272, 1022, 6032, 13307, 2685, 1286, 93766, 55300, 21115, 214, 51514, 3501, 903, 11853, 3444, 47, 7049, 6632, 20, 40008, 1530, 55418, 2485, 110095, 1884, 67...

[ 0.185546875, 0.120361328125, 0.1767578125, 0.1995849609375, 0.06036376953125, 0.156982421875, 0.2059326171875, 0.0635986328125, 0.17041015625, 0.054412841796875, 0.107177734375, 0.135009765625, 0.0277557373046875, 0.128173828125, 0.15283203125, 0.02227783203125, 0.179443359375, 0.1...

embed

4977859_c0

4977859

python

0

Title: Tuple vs array in hashtable Python Problem title: Tuple vs array in hashtable Python Tags: python Problem: Tuple vs array in hashtable Python Code signals: Tuple, Python

Tuple vs array in hashtable Python Tuple vs array in hashtable Python python Tuple Python Tuple vs array in hashtable Python I have heard that tuple element take low space but can't be modify, so what is the best solution in terms of execution times: OR

[ 0.01165771484375, 0.009765625, 0.00653076171875, 0.005157470703125, 0.0006256103515625, -0.036376953125, 0.00063323974609375, -0.00360107421875, 0.000850677490234375, 0.0103759765625, -0.0084228515625, 0.0155029296875, -0.00799560546875, 0.033203125, -0.0074462890625, -0.00787353515625...

[ 1371, 8705, 20209, 10298, 53, 1556, 127, 22819, 145581, 23, 17198, 50828, 49782, 370, 12830, 5646, 27226, 32628, 1284, 831, 18, 2811, 40383, 2965, 29806, 71924, 20028, 33172 ]

[ 0.176025390625, 0.284423828125, 0.137939453125, 0.16943359375, 0.1243896484375, 0.1610107421875, 0.06817626953125, 0.1968994140625, 0.2451171875, 0.0172882080078125, 0.0628662109375, 0.09130859375, 0.0191192626953125, 0.1461181640625, 0.136474609375, 0.070068359375, 0.12890625, 0.1...

embed

57005599_c0

57005599

python

0

Title: Flatten 3d list to 2d in python Problem title: Flatten 3d list to 2d in python Tags: list, python, flatten Problem: Flatten 3d list to 2d in python Code signals: Flatten

Flatten 3d list to 2d in python Flatten 3d list to 2d in python list python flatten Flatten Flatten 3d list to 2d in python So I have a list of lists in python that is something like this: I want to flatten this list and end up with this: Is there a straightforward way to do this in python?

[ 0.005615234375, 0.00054931640625, 0.0009918212890625, -0.004730224609375, 0.0022430419921875, 0.005523681640625, -0.00482177734375, 0.00604248046875, 0.00604248046875, 0.01531982421875, 0.0079345703125, -0.0263671875, 0.017333984375, 0.00186920166015625, -0.047119140625, -0.00058746337...

[ 106516, 510, 138, 71, 5303, 47, 116, 17198, 50828, 49878, 7, 1884, 3444, 3564, 678, 903, 80560, 2472, 19364, 3917, 54, 23 ]

[ 0.1937255859375, 0.200439453125, 0.1221923828125, 0.1317138671875, 0.2359619140625, 0.1134033203125, 0.11181640625, 0.1036376953125, 0.153076171875, 0.199462890625, 0.044769287109375, 0.012451171875, 0.0728759765625, 0.055328369140625, 0.00836181640625, 0.038482666015625, 0.009277343...

embed

67833943_c0

67833943

python

0

Title: Create Total index Problem title: Create Total index Tags: python, python-3.x, pandas Problem: Create Total index Code signals: Create, Total, df.loc, df.sum, python-3.x

Create Total index Create Total index python python-3.x pandas Create Total df.loc df.sum python-3.x Create Total index Is there a simple way to create a total index? Expected Output:

[ 0.012451171875, 0.032958984375, -0.00811767578125, 0.0257568359375, -0.007720947265625, -0.031494140625, 0.0191650390625, 0.0020751953125, 0.01422119140625, -0.0196533203125, -0.00396728515625, -0.028564453125, -0.009521484375, 0.01214599609375, 0.01171875, 0.0250244140625, 0.0177001...

[ 151313, 33867, 63262, 17198, 50828, 8316, 425, 2652, 1124, 420, 55043, 11832, 2685, 8781, 3917, 47, 28282, 10, 3622, 60075, 13, 89829, 13538, 7077 ]

[ 0.184814453125, 0.2440185546875, 0.281494140625, 0.08349609375, 0.1607666015625, 0.1009521484375, 0.052825927734375, 0.0892333984375, 0.1153564453125, 0.07818603515625, 0.1151123046875, 0.1524658203125, 0.014739990234375, 0.16796875, 0.08551025390625, 0.0677490234375, 0.1929931640625...

embed

70922744_c0

70922744

python

0

Title: How to split date of a list? Problem title: How to split date of a list? Tags: python, list, split Problem: How to split date of a list? Code signals: How, Sun, Oct, Mon

How to split date of a list? How to split date of a list? python list split How Sun Oct Mon How to split date of a list? I have a list: How can I get this result:

[ -0.013671875, -0.0111083984375, -0.0052490234375, 0.031982421875, -0.018310546875, 0.005157470703125, 0.00653076171875, 0.0223388671875, 0.00762939453125, 0.044189453125, -0.0167236328125, 0.0164794921875, -0.0216064453125, 0.0091552734375, -0.0179443359375, -0.00872802734375, 0.0041...

[ 11249, 47, 65450, 5622, 111, 5303, 10, 17198, 50828, 7550, 33649, 7465, 87, 765, 2046, 16750 ]

[ 0.099853515625, 0.094970703125, 0.2491455078125, 0.1981201171875, 0.0955810546875, 0.2376708984375, 0.040740966796875, 0.067626953125, 0.1370849609375, 0.14794921875, 0.1785888671875, 0.1365966796875, 0.008392333984375, 0.013702392578125, 0.0298309326171875, 0.0877685546875 ]

embed

74694673_c0

74694673

python

0

Title: flattening linked dictionary values Problem title: flattening linked dictionary values Tags: python Problem: flattening linked dictionary values Code signals: baz2, bar2

flattening linked dictionary values flattening linked dictionary values python baz2 bar2 flattening linked dictionary values How would I flatten: so that a["foo"] = ["bar", "baz", "baz2", "bax"] . Another example: output: a["foo"] = ["bar", "baz"] and a["bar2"] = ["bax"] Notice how the bar2 index is still there because...

[ 0.0289306640625, 0.006622314453125, -0.03125, -0.0074462890625, 0.005615234375, 0.0164794921875, -0.00185394287109375, 0.0181884765625, 0.0177001953125, 0.0125732421875, -0.004119873046875, 0.01373291015625, 0.00970458984375, 0.00174713134765625, -0.0045166015625, 0.0000729560852050781...

[ 49878, 67, 592, 3126, 297, 45, 10763, 6635, 142424, 17198, 50828, 16627, 304, 1909, 11249, 2806, 87, 510, 221, 450, 10, 1065, 3584, 31, 2203, 1299, 40300, 104731, 27781, 140992, 136, 63262, 7464, 2685, 959, 42564, 150632 ]

[ 0.246337890625, 0.197265625, 0.069580078125, 0.180908203125, 0.0948486328125, 0.06243896484375, 0.1265869140625, 0.06134033203125, 0.1920166015625, 0.07086181640625, 0.12548828125, 0.1417236328125, 0.163818359375, 0.1497802734375, 0.020477294921875, 0.1103515625, 0.0667724609375, 0...

embed

20685567_c0

20685567

python

0

Title: Convert Python string to list Problem title: Convert Python string to list Tags: string, list, python Problem: Convert Python string to list Code signals: Convert, Python

Convert Python string to list Convert Python string to list string list python Convert Python Convert Python string to list I have a list formatted as shown here: How do I convert to a list with elements as shown here:

[ -0.00701904296875, 0.0147705078125, -0.0157470703125, 0.029541015625, -0.0086669921875, 0.0186767578125, -0.0023956298828125, -0.0128173828125, -0.0086669921875, 0.00994873046875, 0.005584716796875, -0.0146484375, -0.005645751953125, 0.028076171875, -0.01507568359375, 0.000717163085937...

[ 1657, 11549, 145581, 79315, 47, 5303, 17198, 50828, 765, 9384, 127887, 3688, 87, 96760, 10, 678, 80854 ]

[ 0.056793212890625, 0.1319580078125, 0.295654296875, 0.25732421875, 0.08184814453125, 0.241455078125, 0.12060546875, 0.1409912109375, 0.0059814453125, 0.0869140625, 0.04339599609375, 0.0167236328125, 0.002532958984375, 0.1541748046875, 0.04083251953125, 0.02972412109375, 0.1181640625 ...

embed

3447435_c1

3447435

python

1

01. 102. 103. 104. 105.] [ 106. 107. 108. 109. 110. 111.] [ 112. 113. 114. 115. 116. 117.] [ 118. 119. 120. 121. 122. 123.]] Thank you Code signals: numpy, Processing, np.arange

[ 0.006561279296875, 0.00799560546875, -0.02197265625, 0.02099609375, 0.01080322265625, 0.0172119140625, 0.023681640625, 0.00689697265625, 0.01434326171875, -0.004974365234375, -0.004547119140625, -0.0245361328125, 0.007049560546875, 0.01422119140625, -0.008056640625, -0.009765625, -0....

[ 38272, 30669, 5, 35389, 30994, 21213, 268, 378, 38264, 36225, 28292, 41184, 12062, 36682, 25837, 49508, 44909, 29187, 45773, 53373, 36460, 49501, 5390, 58865, 47320, 37638, 86245, 25689, 398, 28864, 26073, 7, 12, 13269, 6493, 123996, 214, 250...

[ 0.201904296875, 0.2498779296875, 0.10888671875, 0.2484130859375, 0.2430419921875, 0.2391357421875, 0.0546875, 0.053497314453125, 0.22021484375, 0.1871337890625, 0.1895751953125, 0.2083740234375, 0.181884765625, 0.1763916015625, 0.19091796875, 0.182373046875, 0.1781005859375, 0.1793...

embed

38490144_c0

38490144

python

0

Title: Pandas interpreting datetime wrong Problem title: Pandas interpreting datetime wrong Tags: python, pandas Problem: Pandas interpreting datetime wrong Code signals: Pandas

Pandas interpreting datetime wrong Pandas interpreting datetime wrong python pandas Pandas Pandas interpreting datetime wrong This probably has a quick answer and I'm being silly, but after one hour of struggling and 3 cups of coffee... I have this (not very well formatted) time series which is indexing some readings, ...

[ 0.0233154296875, 0.006927490234375, -0.0004024505615234375, 0.0177001953125, -0.0025482177734375, -0.0064697265625, -0.01806640625, 0.007171630859375, -0.0380859375, 0.02587890625, -0.0196533203125, -0.02197265625, -0.001983642578125, 0.004852294921875, -0.000812530517578125, 0.0108642...

[ 89308, 7, 29481, 214, 5622, 6032, 44691, 17198, 50828, 2652, 1124, 63773, 8035, 12097, 56816, 237875, 45364, 79497, 765, 903, 9384, 1733, 36549, 63262, 16454, 2831, 83, 20653, 70, 483, 927, 111, 18237, 1284, 11782, 915, 71, 188, 17489, 23...

[ 0.1798095703125, 0.038299560546875, 0.200927734375, 0.005340576171875, 0.10638427734375, 0.1683349609375, 0.1468505859375, 0.05364990234375, 0.1142578125, 0.056640625, 0.046234130859375, 0.008636474609375, 0.0008544921875, 0.03436279296875, 0.044036865234375, 0.06402587890625, 0.0054...

embed

5150958_c0

5150958

python

0

Title: Lists in Python Problem title: Lists in Python Tags: python, list Problem: Lists in Python Is the List in python homogeneous or heterogeneous? Code signals: Lists, Python

Lists in Python Lists in Python python list Lists Python Lists in Python Is the List in python homogeneous or heterogeneous?

[ 0.017333984375, 0.01171875, -0.00311279296875, 0.02001953125, -0.0120849609375, 0.01513671875, -0.0069580078125, -0.00860595703125, -0.01300048828125, 0.0264892578125, -0.0128173828125, -0.03759765625, 0.005035400390625, 0.01177978515625, -0.033935546875, 0.007110595703125, 0.0187988...

[ 32036, 23, 145581, 17198, 50828, 5303, 2071, 70, 12840, 15292, 10821, 707, 77099 ]

[ 0.219482421875, 0.04119873046875, 0.2344970703125, 0.12109375, 0.159912109375, 0.160400390625, 0.009979248046875, 0.010711669921875, 0.14990234375, 0.1798095703125, 0.06610107421875, 0.01373291015625, 0.1749267578125 ]

embed

11918342_c0

11918342

python

0

Title: Converting date/time in Pandas Problem title: Converting date/time in Pandas Tags: pandas, python Problem: Converting date/time in Pandas Code signals: Converting, Pandas

Converting date/time in Pandas Converting date/time in Pandas pandas python Converting Pandas Converting date/time in Pandas I have stock ticker data in the following format: and Excel is able to magically convert them to: via "Format Cells" How do I do the same conversion in pandas ?

[ 0.0167236328125, 0.00830078125, -0.0047607421875, 0.030517578125, 0.0091552734375, -0.0211181640625, -0.0301513671875, 0.00040435791015625, -0.0201416015625, 0.01806640625, -0.0025482177734375, -0.0247802734375, -0.003662109375, 0.0179443359375, -0.004608154296875, 0.00567626953125, ...

[ 1657, 814, 1916, 5622, 64, 6032, 23, 89308, 7, 2652, 1124, 17198, 50828, 31837, 1053, 11050, 2053, 25632, 9384, 30326, 19048, 1697, 71407, 96760, 47, 1829, 102973, 257, 80743, 5701, 142477 ]

[ 0.029083251953125, 0.11279296875, 0.06292724609375, 0.17138671875, 0.05926513671875, 0.196533203125, 0.07391357421875, 0.2113037109375, 0.146484375, 0.134033203125, 0.157470703125, 0.051544189453125, 0.1312255859375, 0.142333984375, 0.099365234375, 0.1693115234375, 0.1287841796875, ...

embed

72861225_c0

72861225

python

0

Title: Python Combine Dict Problem title: Python Combine Dict Tags: python Problem: Python Combine Dict Code signals: Python, Combine, Dict, xx:xx:xx:xx:xx:xx, cc:cc:cc:cc:cc:cc

Python Combine Dict Python Combine Dict python Python Combine Dict xx:xx:xx:xx:xx:xx cc:cc:cc:cc:cc:cc Python Combine Dict I have two dict. The elements in the dicts come in order. I want to combine them as I show below; How can I do that? Thanks.

[ 0.0010986328125, 0.027099609375, 0.01129150390625, 0.024169921875, -0.00457763671875, -0.0201416015625, -0.0033416748046875, 0.007476806640625, -0.0147705078125, 0.001953125, 0.005950927734375, -0.02099609375, 0.0020751953125, 0.02197265625, -0.006317138671875, 0.0023193359375, -0.00...

[ 145581, 106935, 86, 60897, 18, 17198, 50828, 113664, 12, 52219, 10060, 87, 765, 6626, 6, 61669, 80854, 23, 7, 1380, 12989, 3444, 47, 70163, 2856, 237, 7639, 35064, 11249, 831, 54, 450, 22362, 5 ]

[ 0.260498046875, 0.2607421875, 0.173828125, 0.2247314453125, 0.157470703125, 0.1226806640625, 0.146484375, 0.1116943359375, 0.0341796875, 0.1175537109375, 0.075439453125, 0.0343017578125, 0.06011962890625, 0.1483154296875, 0.0163421630859375, 0.26171875, 0.166015625, 0.0335693359375...

embed

37209874_c0

37209874

python

0

Title: On what basis python orders dict? Problem title: On what basis python orders dict? Tags: python Problem: On what basis python orders dict? Code signals: _MOBILE_CATEGORIES

On what basis python orders dict? On what basis python orders dict? python _MOBILE_CATEGORIES On what basis python orders dict? I have simple list of data which looks like: When I print it I get: As you cant see first goes 100152385: 66 which in list is third. If I define keys as string I get other order like this: So ...

[ 0.0279541015625, 0.01123046875, -0.00628662109375, -0.01446533203125, -0.0096435546875, 0.019287109375, -0.000911712646484375, 0.006561279296875, 0.0135498046875, 0.007598876953125, -0.000728607177734375, -0.0390625, -0.0084228515625, -0.002105712890625, 0.0101318359375, 0.003036499023...

[ 2161, 2367, 18231, 17198, 50828, 12989, 7, 6, 61669, 32, 123670, 647, 98062, 66118, 91461, 8781, 5303, 2053, 33342, 1884, 28412, 45767, 1957, 5117, 60899, 805, 138010, 104342, 11251, 50960, 61924, 22799, 237, 79315, 3789, 3871, 23 ]

[ 0.1029052734375, 0.0804443359375, 0.1868896484375, 0.1407470703125, 0.19384765625, 0.244873046875, 0.0469970703125, 0.03277587890625, 0.251953125, 0.006195068359375, 0.1524658203125, 0.031219482421875, 0.08905029296875, 0.099365234375, 0.035675048828125, 0.0601806640625, 0.0842285156...

embed

5050267_c0

5050267

python

0

Title: Python. The coding of a string Problem title: Python. The coding of a string Tags: python Problem: Python. The coding of a string Code signals: Python, u041a, u041e, u041b

Python. The coding of a string Python. The coding of a string python Python u041a u041e u041b Python. The coding of a string How to transform string as a variable to a readable kind (how print word)?

[ 0.009521484375, 0.0159912109375, 0.00408935546875, 0.036376953125, -0.0107421875, 0.00823974609375, 0.010009765625, 0.0111083984375, 0.01092529296875, 0.0262451171875, -0.019287109375, -0.026611328125, 0.01434326171875, 0.006622314453125, -0.036376953125, -0.00262451171875, 0.0038299...

[ 145581, 581, 552, 6238, 111, 10, 79315, 17198, 50828, 75, 7709, 418, 11249, 47, 27198, 237, 77336, 12301, 2886, 8562, 47251, 28412, 2565 ]

[ 0.2724609375, 0.07501220703125, 0.1951904296875, 0.151123046875, 0.09039306640625, 0.027557373046875, 0.244140625, 0.1270751953125, 0.1510009765625, 0.045928955078125, 0.1165771484375, 0.003173828125, 0.07275390625, 0.099609375, 0.1925048828125, 0.054962158203125, 0.23486328125, 0....

embed

65451935_c0

65451935

python

0

Title: I need to parse json file 1 key 1 value Problem title: I need to parse json file 1 key 1 value Tags: parsing, python, json Problem: I need to parse json file 1 key 1 value

I need to parse json file 1 key 1 value I need to parse json file 1 key 1 value parsing python json I need to parse json file 1 key 1 value I have a json file I parsed json to python dictionary format 1 key multiple values stored How to parse in the dictionary json file format 1 key 1 value?

[ 0.0086669921875, -0.0111083984375, -0.0159912109375, -0.00787353515625, -0.0198974609375, 0.0079345703125, -0.007781982421875, 0.004913330078125, -0.0011444091796875, 0.0177001953125, -0.00469970703125, 0.004058837890625, -0.01953125, -0.01373291015625, -0.00092315673828125, 0.02258300...

[ 3871, 366, 184, 1647, 1681, 11435, 106, 22799, 34292, 17198, 50828, 47, 10763, 6635, 9384, 48716, 142424, 4343, 45 ]

[ 0.083740234375, 0.1253662109375, 0.1055908203125, 0.1123046875, 0.1973876953125, 0.1583251953125, 0.0853271484375, 0.1658935546875, 0.1639404296875, 0.023773193359375, 0.1153564453125, 0.014404296875, 0.08563232421875, 0.049713134765625, 0.1199951171875, 0.06005859375, 0.096618652343...

embed

55949018_c0

55949018

python

0

Title: Plotting Shortest Path to graph Problem title: Plotting Shortest Path to graph Tags: python Problem: Plotting Shortest Path to graph Code signals: Plotting, Shortest, Path

Plotting Shortest Path to graph Plotting Shortest Path to graph python Plotting Shortest Path Plotting Shortest Path to graph I have a set of coordinates and would like to find the shortest path from the coordinates closest to x=0,y=0 to the coordinate that is furthest away from it and display it on the graph. Is there...

[ 0.002471923828125, 0.0233154296875, -0.003814697265625, 0.000919342041015625, -0.0224609375, -0.00799560546875, 0.010986328125, -0.0189208984375, 0.00144195556640625, 0.0140380859375, -0.007568359375, -0.0244140625, -0.0308837890625, 0.0108642578125, -0.00604248046875, 0.02880859375, ...

[ 168763, 1916, 82990, 525, 108421, 47, 41382, 17198, 50828, 87, 765, 5423, 111, 176866, 90, 2806, 1884, 7413, 70, 16610, 60875, 1295, 20903, 271, 1022, 145407, 53, 13, 83, 91344, 16065, 44116, 2685, 109954, 5809, 54, 450, 33946, 360, 7722,...

[ 0.1817626953125, 0.10089111328125, 0.2025146484375, 0.1680908203125, 0.2252197265625, 0.138916015625, 0.1995849609375, 0.09552001953125, 0.156494140625, 0.0169219970703125, 0.0217437744140625, 0.050689697265625, 0.0540771484375, 0.1478271484375, 0.06732177734375, 0.011627197265625, 0...

embed

70359559_c0

70359559

python

0

Title: regex on reading a txt file in Python Problem title: regex on reading a txt file in Python Tags: python Problem: regex on reading a txt file in Python Code signals: Python

regex on reading a txt file in Python regex on reading a txt file in Python python Python regex on reading a txt file in Python I have a txt that contains data for classification purposes. The first column is the class, that is 0 or 1 and the other four columns contain the features of the class. Yet the features has nu...

[ 0.005859375, -0.003936767578125, 0.0172119140625, 0.01043701171875, 0.00799560546875, -0.008544921875, 0.01080322265625, 0.0196533203125, -0.0135498046875, -0.009521484375, -0.0059814453125, -0.007171630859375, -0.0177001953125, -0.0296630859375, 0.0191650390625, 0.0024871826171875, ...

[ 6835, 3355, 98, 16454, 124326, 11435, 145581, 23, 17198, 50828, 10, 87, 70541, 2053, 40865, 1363, 60042, 5117, 3365, 316, 18507, 83, 757, 707, 106, 22759, 1779, 66139, 63519, 1556, 101935, 8108, 2856, 13806, 60213, 116, 13269, 6493, 65450, ...

[ 0.1744384765625, 0.2137451171875, 0.058319091796875, 0.2244873046875, 0.284423828125, 0.1666259765625, 0.2481689453125, 0.042236328125, 0.0675048828125, 0.08056640625, 0.0191802978515625, 0.0172119140625, 0.0477294921875, 0.0701904296875, 0.1375732421875, 0.001983642578125, 0.0119628...

embed

74742310_c0

74742310

python

0

Title: Django mysql connection errors Problem title: Django mysql connection errors Tags: python, django, mysql, wamp Problem: Django mysql connection errors Code signals: Django

Django mysql connection errors Django mysql connection errors python django mysql wamp Django Django mysql connection errors

[ 0.00885009765625, 0.0128173828125, -0.0024871826171875, -0.022705078125, -0.0084228515625, 0.01531982421875, -0.0262451171875, -0.007293701171875, -0.0301513671875, -0.016357421875, -0.01416015625, -0.042236328125, 0.0242919921875, 0.012939453125, -0.0022125244140625, 0.00665283203125,...

[ 39424, 27803, 759, 7, 99247, 94878, 18499, 17198, 50828, 107473, 259, 2676 ]

[ 0.1051025390625, 0.249267578125, 0.1414794921875, 0.08087158203125, 0.23388671875, 0.1529541015625, 0.1759033203125, 0.050872802734375, 0.1343994140625, 0.08013916015625, 0.1021728515625, 0.15771484375 ]

embed

50980800_c0

50980800

python

0

Title: For Loop generate sequence Problem title: For Loop generate sequence Tags: python Problem: For Loop generate sequence Code signals: Loop, server0, server1, server2, server3

For Loop generate sequence For Loop generate sequence python Loop server0 server1 server2 server3 For Loop generate sequence Need help, I expected the output like this But I don't get the output like I expected. Here's my code Output: Can someone help me?

[ 0.0247802734375, 0.00811767578125, -0.041259765625, 0.0235595703125, 0.005615234375, -0.00191497802734375, -0.0021209716796875, 0.035400390625, 0.015625, -0.0034027099609375, -0.0203857421875, -0.004913330078125, 0.01348876953125, 0.03369140625, -0.007171630859375, -0.0184326171875, ...

[ 1326, 199694, 139392, 40, 944, 3956, 17198, 50828, 10723, 2389, 304, 363, 52889, 4358, 87, 84751, 140992, 1884, 903, 4966, 2301, 18, 2046, 11853, 18151, 13538, 7077, 4171, 22008 ]

[ 0.122314453125, 0.2235107421875, 0.225830078125, 0.06201171875, 0.145751953125, 0.03387451171875, 0.066650390625, 0.11962890625, 0.14208984375, 0.04010009765625, 0.0264129638671875, 0.0830078125, 0.03106689453125, 0.119140625, 0.01007080078125, 0.1239013671875, 0.16552734375, 0.069...

embed

70561564_c0

70561564

python

0

Title: append to a list doesn't work as expected Problem title: append to a list doesn't work as expected Tags: python Problem: append to a list doesn't work as expected

append to a list doesn't work as expected append to a list doesn't work as expected python append to a list doesn't work as expected I have this code: I was expecting [1, 2] from the last line. Why does the expression evaluate to nothing instead?

[ 0.00653076171875, 0.0037384033203125, -0.00012874603271484375, 0.005523681640625, -0.00469970703125, 0.003387451171875, -0.00885009765625, 0.0167236328125, 0.0120849609375, 0.021484375, 0.0233154296875, -0.01470947265625, -0.01324462890625, 0.0111083984375, -0.013916015625, -0.00332641...

[ 114689, 71, 47, 10, 5303, 22027, 3768, 18, 4488, 237, 84751, 17198, 50828, 18151, 509, 41206, 214, 68252, 116, 1295, 4568, 13315, 44084, 125195, 151575, 33720, 64457 ]

[ 0.1888427734375, 0.0985107421875, 0.17578125, 0.06640625, 0.17578125, 0.05859375, 0.08148193359375, 0.0777587890625, 0.118896484375, 0.097900390625, 0.1109619140625, 0.06488037109375, 0.1156005859375, 0.0682373046875, 0.0211944580078125, 0.1103515625, 0.03765869140625, 0.0102539062...

embed

35682877_c0

35682877

python

0

Title: Pandas sum rows by specific classes Problem title: Pandas sum rows by specific classes Tags: pandas, python Problem: Pandas sum rows by specific classes Code signals: Pandas

Pandas sum rows by specific classes Pandas sum rows by specific classes pandas python Pandas Pandas sum rows by specific classes Here is my quesition: Take this dataframe(clipped from this question ) for example: My target: summarize the rows which has different type(unemp/emp), and make a new dataframe like this: http...

[ 0.0196533203125, 0.02001953125, 0.001983642578125, 0.035400390625, -0.0272216796875, -0.02294921875, 0.00750732421875, 0.019775390625, -0.00396728515625, 0.0289306640625, -0.01263427734375, -0.0498046875, 0.01116943359375, 0.003997802734375, -0.0008087158203125, 0.0054931640625, -0.0...

[ 89308, 7, 10554, 15555, 390, 29458, 61112, 2652, 1124, 17198, 50828, 2053, 160328, 106371, 27781, 30388, 29334, 14096, 13, 12921, 10644, 1811, 2676, 33548, 3525, 1884, 903, 1530, 10508, 158332, 128468 ]

[ 0.156494140625, 0.048126220703125, 0.197265625, 0.1982421875, 0.0667724609375, 0.1683349609375, 0.2274169921875, 0.061065673828125, 0.0650634765625, 0.0467529296875, 0.10205078125, 0.05377197265625, 0.1748046875, 0.02459716796875, 0.01751708984375, 0.1651611328125, 0.1539306640625, ...

embed

49144809_c0

49144809

python

0

Title: Fancy Indexing in NumPy Problem title: Fancy Indexing in NumPy Tags: numpy, python Problem: Fancy Indexing in NumPy Code signals: Fancy, Indexing, NumPy, np.arange, np.array

Fancy Indexing in NumPy Fancy Indexing in NumPy numpy python Fancy Indexing NumPy np.arange np.array Fancy Indexing in NumPy What is happening here?? I'm not able to get it. Output looks like this

[ 0.00083160400390625, 0.0054931640625, -0.00185394287109375, 0.0089111328125, 0.00653076171875, -0.006500244140625, 0.0022430419921875, 0.0255126953125, 0.03173828125, 0.01025390625, -0.01251220703125, -0.000637054443359375, 0.000705718994140625, 0.0279541015625, -0.006317138671875, -0....

[ 11213, 2408, 31471, 214, 52782, 683, 53, 23, 13269, 6493, 17198, 50828, 25037, 11, 94250, 19305, 4865, 83, 123087, 3688, 959, 19048, 2046, 442, 13538, 7077, 33342, 1884, 903 ]

[ 0.1649169921875, 0.1728515625, 0.227783203125, 0.07708740234375, 0.1534423828125, 0.115478515625, 0.172607421875, 0.04779052734375, 0.1219482421875, 0.1622314453125, 0.07171630859375, 0.1025390625, 0.14501953125, 0.0212249755859375, 0.21484375, 0.10394287109375, 0.00701904296875, 0...

embed

16335616_c1

16335616

python

1

010 z:011","11111110110110000100011001010011"] Code signals: Python, Splitting, re.split, e:1110, h:1111, l:110, o:000, x:001, y:010, z:011, n:10, n11111110110110000100011001010011

[ -0.005401611328125, 0.00032806396484375, -0.014404296875, 0.032958984375, -0.00897216796875, 0.0208740234375, 0.01708984375, -0.004364013671875, 0.00079345703125, 0.02001953125, -0.01153564453125, -0.031982421875, 0.00518798828125, 0.0013275146484375, 0.0009918212890625, 0.002105712890...

[ 76327, 97, 12, 136485, 830, 1662, 159019, 35046, 191281, 14105, 36053, 3559, 268, 28864, 26073, 7, 145581, 4, 46474, 1916, 456, 5, 7008, 4353, 28, 19993, 963, 1096, 96, 36, 9508, 1022, 34479, 113, 653, 15110 ]

[ 0.2744140625, 0.146240234375, 0.10247802734375, 0.2388916015625, 0.0103759765625, 0.1544189453125, 0.2181396484375, 0.1243896484375, 0.1177978515625, 0.09271240234375, 0.251953125, 0.04754638671875, 0.068359375, 0.28564453125, 0.306396484375, 0.1417236328125, 0.324462890625, 0.0898...

embed

57711934_c0

57711934

python

0

Title: Pandas interpolate between two rows Problem title: Pandas interpolate between two rows Tags: python, pandas Problem: Pandas interpolate between two rows Code signals: Pandas

Pandas interpolate between two rows Pandas interpolate between two rows python pandas Pandas Pandas interpolate between two rows I have a pandas dataframe with N rows and M columns. Each column of this dataframe describes an almost continuous value. Sometime I need to substitute a row value with the value interpolated ...

[ 0.015869140625, 0.00909423828125, 0.0003032684326171875, 0.0294189453125, -0.0220947265625, -0.0096435546875, 0.00836181640625, 0.00075531005859375, -0.0177001953125, 0.037353515625, -0.0025482177734375, -0.01287841796875, -0.0130615234375, 0.0179443359375, 0.014404296875, 0.0088500976...

[ 89308, 7, 1940, 69990, 67, 17721, 6626, 15555, 17198, 50828, 2652, 1124, 2053, 160328, 541, 276, 3365, 316, 98423, 98363, 39555, 62005, 34292, 6032, 3871, 161740, 678, 5877, 36917, 35064, 133291, 27781, 3688, 15549, 534, 2320, 209, 427, 294...

[ 0.1995849609375, 0.0726318359375, 0.176025390625, 0.200927734375, 0.05816650390625, 0.183837890625, 0.1568603515625, 0.2093505859375, 0.0543212890625, 0.08599853515625, 0.1217041015625, 0.1500244140625, 0.0533447265625, 0.1680908203125, 0.034149169921875, 0.057373046875, 0.0706787109...

embed

59465921_c0

59465921

python

0

Title: Aging buckets Analysis Problem title: Aging buckets Analysis Tags: python, pandas Problem: Aging buckets Analysis Code signals: Aging, Analysis, DocDate, Amount_in_local_cur

Aging buckets Analysis Aging buckets Analysis python pandas Aging Analysis DocDate Amount_in_local_cur Aging buckets Analysis I try to create G/L group wise Date Aging Buckets (0,30,180,360,720,and above) with 03-Nov-2019 Cutoff date. This is my dataset I am expecting like below table

[ 0.00909423828125, 0.0103759765625, -0.0177001953125, 0.026123046875, 0.0091552734375, -0.003448486328125, -0.0174560546875, 0.00160980224609375, 0.001708984375, 0.034912109375, 0.0076904296875, -0.006072998046875, -0.008544921875, -0.020751953125, 0.01220703125, -0.01531982421875, -0...

[ 62, 9966, 373, 27853, 7, 114837, 17198, 50828, 2652, 1124, 29048, 86291, 121147, 73, 98908, 16820, 9790, 28282, 527, 64, 866, 21115, 90825, 25512, 162715, 7831, 1197, 39425, 38230, 114988, 36917, 5098, 62329, 148548, 3003, 18, 16713, 5622, ...

[ 0.1378173828125, 0.214111328125, 0.1400146484375, 0.2320556640625, 0.05865478515625, 0.1761474609375, 0.080078125, 0.1336669921875, 0.1014404296875, 0.1324462890625, 0.1219482421875, 0.120849609375, 0.1317138671875, 0.035797119140625, 0.1268310546875, 0.135009765625, 0.0736083984375,...

embed

75302082_c1

75302082

python

1

2023-01-21 09:48:28.282 1 HVtpG 2023-01-21 09:51:27.652 2023-01-21 09:52:17.412 2 Gh8Z4 2023-01-21 09:51:28.682 2023-01-21 09:51:28.682 1 Code signals: Pandas, Group, Gh8Z4, HVtpG

[ 0.01556396484375, 0.0098876953125, -0.012939453125, 0.02294921875, 0.005523681640625, 0.012451171875, -0.0189208984375, 0.011474609375, 0.0029144287109375, 0.01531982421875, -0.0072021484375, -0.0211181640625, 0.0113525390625, 0.00004315376281738281, -0.0230712890625, 0.01409912109375,...

[ 140429, 45669, 3117, 3894, 34605, 28270, 3882, 304, 106, 6, 101422, 18, 254, 724, 37374, 187065, 33915, 617, 1530, 116, 55112, 1019, 1511, 192508, 28864, 26073, 7, 12, 89308, 4, 10760 ]

[ 0.1385498046875, 0.057220458984375, 0.0311431884765625, 0.00604248046875, 0.059844970703125, 0.050933837890625, 0.095458984375, 0.0211029052734375, 0.0599365234375, 0.0487060546875, 0.184814453125, 0.072509765625, 0.1123046875, 0.1436767578125, 0.010833740234375, 0.0758056640625, 0.0...

embed

22959619_c4

22959619

python

4

2, x86, xb7, x85, x8f, x9b, xa3, x96, x89, xa5, x83, x99, xd9, x98, xd8, xa0, x9e, xa9, xe2, x88, x8c, x8e, x9d, x84, xa2, x90, x8a, x92, xb1, xb3, xc3, xb5, xc2, x94, xb4, xc5, x91

[ -0.00885009765625, -0.000919342041015625, -0.0125732421875, 0.031494140625, -0.0213623046875, 0.0260009765625, -0.0225830078125, 0.007293701171875, 0.00933837890625, 0.040283203125, 0.0042724609375, 0.00732421875, 0.0098876953125, -0.00933837890625, -0.017333984375, -0.012451171875, ...

[ 116, 4, 1022, 15276, 275, 966, 12951, 1019, 420, 1126, 2459, 363, 11648, 18949, 758, 17168, 5046, 71, 16665, 2389, 13, 4449, 304, 12772, 238, 13903, 5039, 11, 12231, 418, 14889, 617, 12183 ]

[ 0.212890625, 0.137451171875, 0.1683349609375, 0.33349609375, 0.1539306640625, 0.1802978515625, 0.26904296875, 0.1488037109375, 0.1685791015625, 0.192138671875, 0.181640625, 0.1663818359375, 0.263427734375, 0.2421875, 0.1483154296875, 0.2373046875, 0.271728515625, 0.13525390625, 0...

embed

43825281_c0

43825281

python

0

Title: Numpy lexicographic ordering Problem title: Numpy lexicographic ordering Tags: python, numpy Problem: Numpy lexicographic ordering Code signals: Numpy, np.asarray, np.lexsort

Numpy lexicographic ordering Numpy lexicographic ordering python numpy Numpy np.asarray np.lexsort Numpy lexicographic ordering I'd like to lexicographically sort the following array a (get index positions), but, I'm having problems understanding the numpy results: For instance, I don't understand why [1, 2, 1] ( a[:,0...

[ 0.003936767578125, -0.0096435546875, -0.00445556640625, 0.004486083984375, -0.00408935546875, 0.0113525390625, 0.015869140625, 0.003997802734375, 0.0072021484375, 0.0068359375, -0.0033416748046875, 0.0096435546875, -0.0025482177734375, 0.0203857421875, -0.0252685546875, -0.012817382812...

[ 52782, 6493, 95, 73140, 48461, 12989, 214, 17198, 50828, 13269, 25037, 162, 19305, 53, 74070, 62351, 71, 1884, 25958, 12096, 25632, 10298, 10, 3794, 63262, 19069, 1284, 44402, 100094, 50339, 110527, 2301, 18, 28219, 15400, 68252, 116, 106, ...

[ 0.18359375, 0.2369384765625, 0.0787353515625, 0.1669921875, 0.1597900390625, 0.205078125, 0.064208984375, 0.09130859375, 0.157470703125, 0.1478271484375, 0.1285400390625, 0.069580078125, 0.0928955078125, 0.10089111328125, 0.127685546875, 0.2137451171875, 0.00238037109375, 0.0684814...

embed

50684570_c0

50684570

python

0

Title: Comparing two numbers in sage Problem title: Comparing two numbers in sage Tags: python, sage, numeric, numbers Problem: Comparing two numbers in sage Code signals: Comparing

Comparing two numbers in sage Comparing two numbers in sage python sage numeric numbers Comparing Comparing two numbers in sage i would like to know why by comparing two real numbers (e.g. bool(r1 == r2) ) in sage cas online it returns wrong boolean values. E.g.§1: 0.909297426825682 == 0.909 True But E.g.§2 0.909297426...

[ -0.0137939453125, 0.0005950927734375, -0.01239013671875, 0.0194091796875, 0.028564453125, 0.001708984375, 0.01226806640625, 0.017578125, 0.00927734375, 0.01239013671875, -0.0089111328125, 0.02099609375, -0.0091552734375, 0.0081787109375, 0.003387451171875, -0.0194091796875, 0.0121459...

[ 113307, 214, 6626, 101935, 23, 57, 429, 17198, 50828, 54744, 238, 1884, 3714, 15400, 37397, 2773, 142484, 42, 418, 69112, 1690, 10461, 4611, 1118, 442, 30646, 7, 44691, 337, 31, 34677, 142424, 62970, 143161, 6463, 4235, 184376, 16028, 2588,...

[ 0.2020263671875, 0.1094970703125, 0.1339111328125, 0.165771484375, 0.06390380859375, 0.1900634765625, 0.1959228515625, 0.0819091796875, 0.1199951171875, 0.10504150390625, 0.018035888671875, 0.041961669921875, 0.022705078125, 0.1051025390625, 0.2244873046875, 0.14111328125, 0.16857910...

embed

15296139_c0

15296139

python

0

Title: python number guessing Problem title: python number guessing Tags: python Problem: python number guessing Code signals: NameError, raw_input, Number, Traceback, File, prog.py

python number guessing python number guessing python NameError raw_input Number Traceback File prog.py python number guessing I am not understanding this, it says there is a syntax error at the end of the word correct. New error: Though the input is 458.

[ -0.00830078125, 0.002838134765625, -0.005218505859375, -0.00775146484375, 0.017822265625, 0.035888671875, -0.003021240234375, 0.004058837890625, 0.007568359375, -0.0201416015625, -0.0081787109375, -0.009521484375, -0.0283203125, 0.028076171875, -0.00225830078125, 0.00183868408203125, ...

[ 17198, 50828, 14012, 57767, 214, 15757, 18468, 31611, 49649, 73, 7077, 103332, 4937, 329, 12620, 42724, 67973, 6493, 100094, 17378, 6002, 86531, 18499, 99, 3564, 70, 2565, 26785, 2356, 145733, 107730, 83, 201, 10057 ]

[ 0.10595703125, 0.160888671875, 0.1783447265625, 0.21435546875, 0.1400146484375, 0.09765625, 0.1097412109375, 0.038604736328125, 0.1929931640625, 0.0758056640625, 0.0787353515625, 0.13671875, 0.13037109375, 0.0806884765625, 0.2310791015625, 0.1458740234375, 0.1318359375, 0.119018554...

embed

64612946_c0

64612946

python

0

Title: Find duplicate sets in list of sets Problem title: Find duplicate sets in list of sets Tags: python, list, set Problem: Find duplicate sets in list of sets Code signals: Find

Find duplicate sets in list of sets Find duplicate sets in list of sets python list set Find Find duplicate sets in list of sets I have an array of sets and I would like to check if two or more sets are the same. I don't need to look at the sets in a precise order. example list within the list there are two identical s...

[ 0.00433349609375, 0.00567626953125, 0.00885009765625, -0.0135498046875, 0.003387451171875, 0.00148773193359375, 0.003814697265625, -0.00994873046875, 0.00994873046875, 0.008544921875, -0.009765625, 0.03173828125, 0.0263671875, 0.0029754638671875, -0.0169677734375, 0.0303955078125, 0....

[ 26040, 171763, 67, 5423, 7, 23, 5303, 111, 17198, 50828, 87, 765, 10298, 53, 1884, 47, 12765, 2174, 6626, 707, 1286, 621, 5701, 6713, 99, 134995, 12989, 27781, 28032, 2685, 31943, 6827, 1284, 678, 14012, 12921, 100, 8382 ]

[ 0.1617431640625, 0.2666015625, 0.218994140625, 0.26171875, 0.118408203125, 0.07879638671875, 0.1864013671875, 0.11083984375, 0.070556640625, 0.1304931640625, 0.00604248046875, 0.003021240234375, 0.08782958984375, 0.04486083984375, 0.0195465087890625, 0.0267791748046875, 0.181640625, ...

embed

70096383_c0

70096383

python

0

Title: round datetime to nearest min Problem title: round datetime to nearest min Tags: datetime, dataframe, pandas, python Problem: round datetime to nearest min Code signals: Time

round datetime to nearest min round datetime to nearest min datetime dataframe pandas python Time round datetime to nearest min how do I round below : to nearest min :

[ 0.01397705078125, -0.0003833770751953125, 0.0220947265625, -0.00445556640625, -0.01007080078125, -0.01611328125, 0.025634765625, 0.002838134765625, -0.005645751953125, 0.00372314453125, -0.023193359375, 0.0123291015625, -0.00022220611572265625, 0.0179443359375, -0.005584716796875, 0.01...

[ 68807, 5622, 6032, 47, 43573, 525, 881, 2053, 160328, 2652, 1124, 17198, 50828, 19055, 3642, 54, 87, 35064 ]

[ 0.2451171875, 0.154541015625, 0.1982421875, 0.161376953125, 0.1904296875, 0.1861572265625, 0.266845703125, 0.05804443359375, 0.1649169921875, 0.08740234375, 0.1043701171875, 0.06378173828125, 0.133056640625, 0.13134765625, 0.037811279296875, 0.073486328125, 0.051971435546875, 0.175...

embed

3124662_c0

3124662

python

0

Title: django on windows server 2008 Problem title: django on windows server 2008 Tags: python, django Problem: django on windows server 2008 Does Django work on Windows server 2008?

django on windows server 2008 django on windows server 2008 python django django on windows server 2008 Does Django work on Windows server 2008?

[ 0.02587890625, 0.007171630859375, 0.0216064453125, 0.0030364990234375, -0.026611328125, 0.01446533203125, -0.01318359375, -0.005584716796875, -0.0107421875, -0.023681640625, -0.0018463134765625, -0.01422119140625, 0.03173828125, 0.0118408203125, -0.000896453857421875, 0.01055908203125,...

[ 107473, 27803, 98, 54825, 10723, 2021, 17198, 50828, 101790, 39424, 4488, 3773, 32 ]

[ 0.11279296875, 0.28955078125, 0.09686279296875, 0.12939453125, 0.1749267578125, 0.25439453125, 0.05657958984375, 0.1199951171875, 0.03900146484375, 0.137451171875, 0.1322021484375, 0.1573486328125, 0.007251739501953125 ]

embed

39457653_c0

39457653

python

0

Title: is there a 2D dictionary in python? Problem title: is there a 2D dictionary in python? Tags: numpy, python Problem: is there a 2D dictionary in python? Code signals: np.matrix

is there a 2D dictionary in python? is there a 2D dictionary in python? numpy python np.matrix is there a 2D dictionary in python? I was about to create a matrix like : I want to query by horizontal or vertical titles, so I created the matrix by： I want to have the certain data if I query a[23][11] = 1 so is there a wa...

[ 0.011962890625, -0.0014801025390625, -0.005340576171875, -0.005889892578125, 0.00994873046875, 0.0030517578125, 0.0032958984375, 0.0123291015625, 0.0108642578125, 0.007293701171875, 0.01373291015625, 0.00885009765625, 0.00090789794921875, -0.00897216796875, -0.034912109375, 0.007476806...

[ 83, 2685, 10, 116, 397, 45, 10763, 6635, 23, 17198, 50828, 13269, 6493, 25037, 192, 87427, 28282, 50944, 425, 3444, 41, 1294, 390, 124001, 707, 79259, 44759, 75935, 765, 24233, 2053, 159144, 73068, 106, 3917, 2203 ]

[ 0.027008056640625, 0.06524658203125, 0.0633544921875, 0.1787109375, 0.1751708984375, 0.129150390625, 0.1937255859375, 0.1751708984375, 0.077392578125, 0.120849609375, 0.1767578125, 0.0462646484375, 0.10064697265625, 0.08349609375, 0.06634521484375, 0.1363525390625, 0.0704345703125, ...

embed

47994397_c0

47994397

python

0

Title: escaping str format brackets Problem title: escaping str format brackets Tags: python-3.x, python Problem: escaping str format brackets Code signals: _id, ObjectId, python-3.x

escaping str format brackets escaping str format brackets python-3.x python _id ObjectId python-3.x escaping str format brackets I'd like to print something like the string below using Python: At first I thought it would be easy, but it is not. Here is my first attempt: But I got the following error Then I tried: And I...

[ 0.004608154296875, 0.01092529296875, -0.00946044921875, 0.0021514892578125, 0.00946044921875, 0.01287841796875, 0.0167236328125, 0.0169677734375, 0.015869140625, 0.0235595703125, 0.0233154296875, -0.018798828125, -0.00909423828125, -0.00885009765625, 0.01611328125, -0.00836181640625, ...

[ 38940, 10366, 7704, 9384, 1620, 27853, 17198, 50828, 8316, 425, 532, 134549, 568, 71, 1884, 28412, 9844, 70, 79315, 35064, 17368, 145581, 5117, 17569, 23468, 1284, 959, 81887, 4163, 25632, 18499, 37842, 903, 145755, 4488, 18151, 44691, 678 ]

[ 0.193115234375, 0.14990234375, 0.251220703125, 0.263671875, 0.1826171875, 0.21533203125, 0.0748291015625, 0.1287841796875, 0.099853515625, 0.08026123046875, 0.09234619140625, 0.1729736328125, 0.04473876953125, 0.034576416015625, 0.1048583984375, 0.1856689453125, 0.07568359375, 0.02...

embed

49361020_c0

49361020

python

0

Title: Object Storage in python Problem title: Object Storage in python Tags: python Problem: Object Storage in python Code signals: Object, Storage, p.__repr__, x.__repr__, __repr__

Object Storage in python Object Storage in python python Object Storage p.__repr__ x.__repr__ __repr__ Object Storage in python What is the reason of following behavior of python: ans= <method-wrapper '__repr__' of int object at 0x00000000623E78E0> <method-wrapper '__repr__' of int object at 0x00000000623E78E0> Here re...

[ 0.025146484375, 0.045654296875, -0.003936767578125, 0.0194091796875, -0.0135498046875, 0.0125732421875, 0.0101318359375, 0.0228271484375, 0.007171630859375, 0.0184326171875, 0.005401611328125, -0.0238037109375, 0.0213623046875, 0.0029144287109375, 0.01409912109375, 0.01019287109375, ...

[ 134549, 208071, 17198, 50828, 23, 915, 107, 10287, 1022, 31635, 25632, 123166, 111, 7210, 1369, 1928, 7352, 5429, 11, 8079, 18, 36746, 99, 757, 425, 197094, 159343, 3742, 19051, 647, 2389, 10958, 42, 30646, 5701, 31913, 69141, 142424, 5062,...

[ 0.24267578125, 0.256103515625, 0.1307373046875, 0.1956787109375, 0.07464599609375, 0.001739501953125, 0.0775146484375, 0.1405029296875, 0.0233612060546875, 0.126953125, 0.112548828125, 0.164306640625, 0.0302734375, 0.146240234375, 0.05999755859375, 0.07763671875, 0.146484375, 0.093...

embed

19157307_c0

19157307

python

0

Title: Generate Range of IPs in Python Problem title: Generate Range of IPs in Python Tags: python Problem: Generate Range of IPs in Python Code signals: Generate, Range, IPs, Python

Generate Range of IPs in Python Generate Range of IPs in Python python Generate Range IPs Python Generate Range of IPs in Python

[ 0.009521484375, 0.0093994140625, -0.0093994140625, 0.024658203125, -0.0004520416259765625, 0.004547119140625, -0.0147705078125, -0.01318359375, -0.0185546875, 0.0030364990234375, -0.0167236328125, 0.0115966796875, 0.013916015625, 0.00537109375, -0.0042724609375, -0.00787353515625, -0...

[ 155370, 67, 142462, 8021, 7, 23, 145581, 111, 17198, 50828 ]

[ 0.1837158203125, 0.0609130859375, 0.1954345703125, 0.2335205078125, 0.09381103515625, 0.04168701171875, 0.2301025390625, 0.021453857421875, 0.10858154296875, 0.11602783203125 ]

embed

61863551_c0

61863551

python

0

Title: Enabling cuda support for opencv Problem title: Enabling cuda support for opencv Tags: python, opencv, windows Problem: Enabling cuda support for opencv Code signals: Enabling

Enabling cuda support for opencv Enabling cuda support for opencv python opencv windows Enabling Enabling cuda support for opencv My goal is to enable the cuda support for opencv.I followed the guide from https://jamesbowley.co.uk/build-opencv-4-0-0-with-cuda-10-0-and-intel-mkl-tbb-in-windows/ or https://www.youtube.co...

[ 0.0198974609375, -0.0115966796875, -0.0107421875, -0.00168609619140625, 0.020751953125, -0.00121307373046875, 0.013671875, -0.007110595703125, -0.004669189453125, 0.01043701171875, -0.015869140625, -0.0240478515625, 0.01806640625, 0.011962890625, -0.00909423828125, 0.0025634765625, -...

[ 357, 11, 79298, 314, 85, 8060, 9803, 238, 334, 100, 17198, 50828, 54825, 69236, 22, 2886, 134629, 17997, 46378, 84201, 4293, 177149, 59636, 11565, 23320, 1010, 52486, 2389, 1708, 15066, 5125, 229792, 49565, 7103, 9969, 150, 57860, 20028, 18...

[ 0.03485107421875, 0.0809326171875, 0.03521728515625, 0.2105712890625, 0.186767578125, 0.2362060546875, 0.16259765625, 0.08154296875, 0.2408447265625, 0.01934814453125, 0.0618896484375, 0.136962890625, 0.1044921875, 0.08880615234375, 0.0340576171875, 0.1226806640625, 0.042755126953125...

embed

53892916_c0

53892916

python

0

Title: Pandas converting column to rows Problem title: Pandas converting column to rows Tags: pandas, python, dataframe Problem: Pandas converting column to rows Code signals: Pandas

Pandas converting column to rows Pandas converting column to rows pandas python dataframe Pandas Pandas converting column to rows I have the following Python pandas dataframe: I want:

[ 0.0361328125, -0.01043701171875, 0.004364013671875, 0.022705078125, -0.0264892578125, -0.010009765625, 0.00665283203125, -0.017578125, -0.0211181640625, 0.029296875, -0.0027313232421875, -0.0303955078125, -0.0002899169921875, 0.021728515625, -0.0125732421875, 0.0018463134765625, -0.0...

[ 89308, 7, 96760, 3365, 316, 19, 47, 15555, 214, 2652, 1124, 17198, 50828, 2053, 160328, 765, 25632, 145581, 87, 3444 ]

[ 0.1788330078125, 0.0560302734375, 0.1146240234375, 0.1285400390625, 0.162109375, 0.035888671875, 0.08624267578125, 0.183837890625, 0.0206146240234375, 0.08056640625, 0.0693359375, 0.029510498046875, 0.05712890625, 0.056976318359375, 0.167236328125, 0.012420654296875, 0.03533935546875...

embed

67735551_c4

67735551

python

4

U, RPqvjRWOhApz3L7HiNpoEuuxYfB1Jw, I64T3mELXVRWITHswupbbyQOvA0eZLOm5Wl4xZZ29tbUucgZCpYO2, RRyssucyXi, x9mGGU, G7eaidL9rThdeDzVpGR7J80l4vJ6rMo, wS5UDZfSmsgsPCuaUNIyPMDyxRLUIP7zKq, END

[ -0.01123046875, 0.0191650390625, -0.0146484375, 0.0101318359375, 0.000469207763671875, 0.00335693359375, 0.00162506103515625, 0.0048828125, 0.01220703125, -0.004119873046875, 0.029541015625, 0.0003108978271484375, 0.0203857421875, -0.01220703125, -0.018310546875, -0.005279541015625, ...

[ 345, 4, 80026, 864, 334, 170, 78691, 56886, 47677, 363, 20861, 771, 52283, 6077, 1375, 434, 87, 13307, 618, 39, 16398, 1542, 35930, 38969, 23415, 2037, 60060, 670, 284, 13, 4235, 1062, 177, 1511, 441, 32256, 304, 6, 37703, 53, 54607, ...

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embed

68030079_c2

68030079

python

2

fi, _7:0.103752, Sacu, _10:0.11457, _8:0.059988, _8:0.123914, _6:0.036195, _3:0.024392, _2:0.01915, _2:0.028257, _2:0.235806, Arabidopsis, Anthoceros, Amborella, Azolla, Ceratopteris

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embed

72146015_c0

72146015

python

0

Title: Append column of arrays in Pandas Problem title: Append column of arrays in Pandas Tags: pandas, python Problem: Append column of arrays in Pandas Code signals: Append, Pandas

Append column of arrays in Pandas Append column of arrays in Pandas pandas python Append Pandas Append column of arrays in Pandas I have a dataframe of arrays such as: I want to convert to get the unique and count values of the whole dataframe. Any idea? Thank you!

[ 0.0216064453125, 0.0152587890625, -0.004913330078125, 0.03759765625, 0.002166748046875, -0.004638671875, -0.007720947265625, -0.004913330078125, -0.005218505859375, 0.0177001953125, 0.01263427734375, -0.00982666015625, -0.004486083984375, 0.0184326171875, -0.00084686279296875, -0.00637...

[ 5659, 3611, 3365, 316, 19, 111, 10298, 4778, 23, 89308, 7, 2652, 1124, 17198, 50828, 2053, 160328, 3444, 96760, 2046, 36998, 54529, 142424, 28271, 6528 ]

[ 0.140625, 0.09979248046875, 0.154296875, 0.1737060546875, 0.0806884765625, 0.111328125, 0.153564453125, 0.1680908203125, 0.060333251953125, 0.2027587890625, 0.12451171875, 0.0875244140625, 0.058624267578125, 0.041412353515625, 0.107666015625, 0.059173583984375, 0.1898193359375, 0.0...

embed

72251609_c1

72251609

python

1

11/2012 11:32', 4: '16/11/2012 11:33'}, 'x': {0: 0.17, 1: 0.17, 2: 0.17, 3: 0.17, 4: 0.17}, 'y': {0: 0.48, 1: 0.48, 2: 0.48, 3: 0.48, 4: 0.48}} Code signals: How, Laptop, time_string

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[ 0.1702880859375, 0.2174072265625, 0.2196044921875, 0.028717041015625, 0.08935546875, 0.2113037109375, 0.16845703125, 0.166748046875, 0.1800537109375, 0.1904296875, 0.00689697265625, 0.1646728515625, 0.04931640625, 0.1123046875, 0.160888671875, 0.14306640625, 0.05364990234375, 0.061...

embed

36609368_c0

36609368

python

0

Title: align arrays with python Problem title: align arrays with python Tags: arrays, alignment, python Problem: align arrays with python Code signals: file1.txt, file2.txt, file3.txt

align arrays with python align arrays with python arrays alignment python file1.txt file2.txt file3.txt align arrays with python I have 3 files ( file1.txt , file2.txt , file3.txt ) that look like: file1: file2: file3: I want to align the zeros of the arrays I read from these files and get the sum of the values on the ...

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[ 0.290771484375, 0.2176513671875, 0.1734619140625, 0.12548828125, 0.1199951171875, 0.1690673828125, 0.080322265625, 0.1539306640625, 0.1656494140625, 0.0792236328125, 0.006866455078125, 0.0777587890625, 0.1834716796875, 0.0965576171875, 0.0305938720703125, 0.002655029296875, 0.0817871...

embed

36763771_c0

36763771

python

0

Title: dataframe to long format Problem title: dataframe to long format Tags: pandas, python Problem: dataframe to long format I have the following df: tz.head() Code signals: tz.head

dataframe to long format dataframe to long format pandas python tz.head dataframe to long format I have the following df: I would like to change it so that looks like this: The reason is that I have a df that is similarly shaped and I need to merge the two dfs. I have recently had similar df shaping issues that I have ...

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[ 0.136474609375, 0.294921875, 0.1771240234375, 0.1658935546875, 0.2406005859375, 0.09912109375, 0.1063232421875, 0.094970703125, 0.1622314453125, 0.196044921875, 0.015625, 0.2025146484375, 0.056121826171875, 0.1170654296875, 0.051788330078125, 0.1656494140625, 0.07098388671875, 0.11...

embed

44239223_c0

44239223

python

0

Title: Split pandas column python Problem title: Split pandas column python Tags: pandas, python, split Problem: Split pandas column python Code signals: Split, Name, column1, column2

Split pandas column python Split pandas column python pandas python split Split Name column1 column2 Split pandas column python I'm working on python 3.4 and I have a pandas dataframe column containing: and i would like to split it and turn it into multople columns: Could you please help me ? Thanks in advance

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[ 0.2410888671875, 0.170166015625, 0.18017578125, 0.1700439453125, 0.1993408203125, 0.07574462890625, 0.1053466796875, 0.1593017578125, 0.2193603515625, 0.1815185546875, 0.05340576171875, 0.09429931640625, 0.002716064453125, 0.058380126953125, 0.00555419921875, 0.1405029296875, 0.05941...

embed

47431547_c0

47431547

python

0

Title: Pandas timeseries manipulation Problem title: Pandas timeseries manipulation Tags: time-series, python, pandas Problem: Pandas timeseries manipulation Code signals: Pandas, NaN

Pandas timeseries manipulation Pandas timeseries manipulation time-series python pandas Pandas NaN Pandas timeseries manipulation I have some data in the following format: I want to clean this data into proper minute by minute time series and carry forwad the values for every minute till a new value is found for the ID...

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[ 0.2110595703125, 0.0968017578125, 0.15087890625, 0.2236328125, 0.2220458984375, 0.04632568359375, 0.0750732421875, 0.1273193359375, 0.0999755859375, 0.0748291015625, 0.1312255859375, 0.1207275390625, 0.023834228515625, 0.044647216796875, 0.020050048828125, 0.141845703125, 0.057861328...

embed

51098291_c0

51098291

python

0

Title: Pandas: shiftafter N strings Problem title: Pandas: shiftafter N strings Tags: python, pandas Problem: Pandas: shiftafter N strings Code signals: Pandas, atm_id, df.sort_values

Pandas: shiftafter N strings Pandas: shiftafter N strings python pandas Pandas atm_id df.sort_values Pandas: shiftafter N strings I have dataframe I need add new columns, that, means period. (For every atm_id every 3 transaction (strings in dataframe)) Desire output I try to do this with But I've got an error.

[ 0.01904296875, -0.0078125, 0.00628662109375, 0.027099609375, 0.010986328125, -0.01318359375, 0.0235595703125, -0.0145263671875, -0.0009002685546875, 0.013427734375, 0.00093841552734375, -0.0087890625, 0.0047607421875, -0.0103759765625, -0.0008087158203125, 0.01171875, -0.004974365234...

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[ 0.185791015625, 0.06671142578125, 0.2381591796875, 0.1727294921875, 0.169677734375, 0.2469482421875, 0.048919677734375, 0.09417724609375, 0.0792236328125, 0.07659912109375, 0.1162109375, 0.099609375, 0.10888671875, 0.0914306640625, 0.20703125, 0.1497802734375, 0.099365234375, 0.213...

embed

60555815_c1

60555815

python

1

4485 3/1/2018 13:50 9 2791ec4485 3/1/2018 13:53 10 2791ec4485 3/1/2018 13:51 11 2791ec4485 3/1/2018 13:55 Code signals: Time, request_time, user_ID, eb0718c1c9, a11e41cdc2, python-3.x

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[ 201, 114999, 138, 11583, 18242, 702, 23837, 483, 1438, 12183, 617, 31690, 209, 37374, 534, 28565, 28864, 26073, 7, 12, 19055, 4, 50336, 6032, 38937, 7146, 28, 275, 8368, 1819, 238, 1126, 10, 1662, 13, 8894, 71574, 304, 17198, 50828, 831...

[ 0.1458740234375, 0.31103515625, 0.05474853515625, 0.0877685546875, 0.08807373046875, 0.02886962890625, 0.0248870849609375, 0.042144775390625, 0.09674072265625, 0.1085205078125, 0.05230712890625, 0.10009765625, 0.044464111328125, 0.038726806640625, 0.0231170654296875, 0.1090087890625, ...

embed

63246465_c0

63246465

python

0

Title: How to get a different output? Problem title: How to get a different output? Tags: python, output, list Problem: How to get a different output? Code signals: How, y-1, t.append

How to get a different output? How to get a different output? python output list How y-1 t.append How to get a different output? I am new to python programming. I was trying to write a program to find how many 9s are present in the list. enter image description here output: 2 numbers of 9s are present at [5, 9] positio...

[ 0.015625, 0.006439208984375, 0.0185546875, 0.004302978515625, 0.00150299072265625, -0.005126953125, -0.0030059814453125, 0.0213623046875, 0.0218505859375, 0.0301513671875, 0.0189208984375, -0.0028076171875, -0.0076904296875, 0.0072021484375, -0.006195068359375, -0.006927490234375, 0....

[ 11249, 47, 2046, 10, 12921, 140992, 17198, 50828, 5303, 113, 5759, 808, 9007, 3611, 3525, 56037, 31577, 33022, 1528, 7413, 5941, 483, 7, 13379, 30957, 29569, 76811, 116, 101935, 111, 99, 758, 19069, 237, 304, 190, 136 ]

[ 0.1092529296875, 0.1146240234375, 0.15283203125, 0.0938720703125, 0.234375, 0.29296875, 0.0908203125, 0.149658203125, 0.1654052734375, 0.1416015625, 0.152587890625, 0.1168212890625, 0.0755615234375, 0.0869140625, 0.03375244140625, 0.04888916015625, 0.037628173828125, 0.055511474609...

embed

65586482_c0

65586482

python

0

Title: Transform Set to DataFrame Problem title: Transform Set to DataFrame Tags: pandas, dataframe, python Problem: Transform Set to DataFrame Code signals: Transform, Set, DataFrame

Transform Set to DataFrame Transform Set to DataFrame pandas dataframe python Transform Set DataFrame Transform Set to DataFrame How to convert a set of categories into a DataFrame? For example: To:

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[ 0.106689453125, 0.2303466796875, 0.2900390625, 0.1444091796875, 0.1612548828125, 0.288330078125, 0.20458984375, 0.090087890625, 0.111328125, 0.1239013671875, 0.23974609375, 0.0706787109375, 0.139892578125, 0.04840087890625, 0.1890869140625, 0.20556640625, 0.0079345703125, 0.2432861...

embed

73673545_c0

73673545

python

0

Title: Python How to fix this Problem title: Python How to fix this Tags: list, python Problem: Python How to fix this Code signals: Python, How, list1, list2, list1.append, list2.pop

Python How to fix this Python How to fix this list python Python How list1 list2 list1.append list2.pop Python How to fix this Display [1, 2, 3, [4, 5]] the value in list1 disappear

[ 0.008056640625, 0.022705078125, -0.006011962890625, 0.0091552734375, 0.01446533203125, 0.016357421875, 0.007354736328125, 0.004547119140625, 0.015625, 0.009765625, 0.028564453125, -0.009521484375, -0.00274658203125, 0.01708984375, 0.00543212890625, -0.024169921875, 0.00433349609375, ...

[ 145581, 11249, 47, 30022, 903, 5303, 17198, 50828, 418, 304, 9007, 3611, 5442, 33554, 90045, 68252, 116, 138, 617, 190, 34292, 23, 213566 ]

[ 0.2301025390625, 0.018951416015625, 0.0462646484375, 0.203857421875, 0.117431640625, 0.229248046875, 0.06585693359375, 0.1068115234375, 0.082275390625, 0.101806640625, 0.06378173828125, 0.105224609375, 0.0872802734375, 0.2098388671875, 0.2008056640625, 0.056915283203125, 0.1131591796...

embed

25747030_c0

25747030

python

0

Title: Remove leading characters Python Problem title: Remove leading characters Python Tags: python Problem: Remove leading characters Python Code signals: Remove, Python, Fail, Error

Remove leading characters Python Remove leading characters Python python Remove Python Fail Error Remove leading characters Python I would like to remove the leading characters from each line of this file until I find the digit: File looks like this: My output should be like below: It woule be even better if I get this...

[ 0.01165771484375, 0.0191650390625, -0.00787353515625, 0.02197265625, -0.0013885498046875, -0.023193359375, -0.0021209716796875, -0.0023956298828125, 0.007232666015625, -0.002227783203125, 0.0025634765625, -0.003662109375, -0.006866455078125, 0.0224609375, -0.0125732421875, -0.006561279...

[ 181139, 105207, 124850, 145581, 17198, 50828, 190355, 212059, 2806, 1884, 87388, 70, 1295, 12638, 13315, 903, 11435, 24189, 7413, 153939, 42724, 33342, 140992, 5608, 35064, 87971, 133, 11522, 2046, 82800, 12989, 14012 ]

[ 0.156494140625, 0.2010498046875, 0.201904296875, 0.2291259765625, 0.07879638671875, 0.1202392578125, 0.1876220703125, 0.15283203125, 0.058624267578125, 0.09912109375, 0.16748046875, 0.013580322265625, 0.0740966796875, 0.1015625, 0.127685546875, 0.046051025390625, 0.1763916015625, 0...

embed

29472394_c0

29472394

python

0

Title: Convert String to Time Python Problem title: Convert String to Time Python Tags: python Problem: Convert String to Time Python Code signals: time, Convert, Python, time.strptime

Convert String to Time Python Convert String to Time Python python time Convert Python time.strptime Convert String to Time Python I have a time String like this： I use this command line to convert it: But this returns: My python version is 2.7.7

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[ 0.060302734375, 0.1549072265625, 0.2117919921875, 0.10711669921875, 0.1083984375, 0.25048828125, 0.2432861328125, 0.08502197265625, 0.144775390625, 0.203857421875, 0.0924072265625, 0.07269287109375, 0.2470703125, 0.003662109375, 0.053741455078125, 0.04229736328125, 0.031036376953125,...

embed

34560164_c0

34560164

python

0

Title: How to print line by date range update Problem title: How to print line by date range update Tags: python, file Problem: How to print line by date range update Code signals: How

How to print line by date range update How to print line by date range update python file How How to print line by date range update Question UPDATE: I solved this problem by radar answer. Question is how i can print something if i have 2 or more same dates in file, how i can compare line with line after? File update: ...

[ -0.01165771484375, -0.01416015625, 0.0034942626953125, 0.015869140625, -0.0096435546875, 0.01165771484375, 0.0002727508544921875, 0.0341796875, -0.0128173828125, 0.0302734375, -0.0311279296875, -0.00848388671875, 0.006439208984375, -0.020263671875, 0.002899169921875, 0.001312255859375,...

[ 11249, 47, 28412, 13315, 390, 5622, 37457, 28350, 17198, 50828, 11435, 161521, 86869, 2967, 84770, 35166, 3642, 831, 9844, 2174, 765, 116, 707, 1286, 5701, 112474, 69101, 678, 7103, 42724, 39015, 31766, 21389, 1528, 8110, 756, 124519, 33342, ...

[ 0.0821533203125, 0.06524658203125, 0.2291259765625, 0.21337890625, 0.15185546875, 0.151611328125, 0.215087890625, 0.2142333984375, 0.126708984375, 0.160888671875, 0.150634765625, 0.18310546875, 0.033935546875, 0.041107177734375, 0.1324462890625, 0.01617431640625, 0.038665771484375, ...

embed

61548790_c0

61548790

python

0

Title: Sympy Solve returns an empty set Problem title: Sympy Solve returns an empty set Tags: python, solver, sympy Problem: Sympy Solve returns an empty set Code signals: Sympy, Solve

Sympy Solve returns an empty set Sympy Solve returns an empty set python solver sympy Sympy Solve Sympy Solve returns an empty set I am trying to solve following polynomial equations using solve However it returns an empty set. wolfram-alpha returns following real solutions. How do I ensure that I get the solutions if ...

[ 0.01953125, -0.011474609375, -0.006103515625, 0.0267333984375, -0.02490234375, 0.02880859375, 0.006561279296875, -0.01251220703125, -0.008056640625, 0.029541015625, -0.01324462890625, 0.0081787109375, -0.00421142578125, 0.01373291015625, -0.0069580078125, 0.02783203125, -0.0144653320...

[ 4843, 2676, 53, 6678, 272, 30646, 201505, 5423, 17198, 50828, 3115, 814, 954, 31577, 86869, 25632, 35874, 1687, 13722, 17368, 13924, 55334, 289, 14612, 2773, 51347, 63284, 2046, 32316, 55300, 60627, 45064, 757, 27289 ]

[ 0.08538818359375, 0.1484375, 0.15576171875, 0.1646728515625, 0.1727294921875, 0.1739501953125, 0.170654296875, 0.166259765625, 0.0163421630859375, 0.0909423828125, 0.09954833984375, 0.06854248046875, 0.037353515625, 0.037261962890625, 0.200927734375, 0.07391357421875, 0.0558471679687...

embed

71659446_c0

71659446

python

0

Title: Function with two maximum values Problem title: Function with two maximum values Tags: matplotlib, numpy, python Problem: Function with two maximum values Code signals: np.array

Function with two maximum values Function with two maximum values matplotlib numpy python np.array Function with two maximum values I have two arrays: Plotting these two arrays give the following scattered I need to get the coordinates of each maximum peak. Is there some function?

[ 0.0184326171875, 0.0106201171875, 0.00897216796875, 0.0030670166015625, -0.002044677734375, 0.021240234375, -0.0023345947265625, -0.00885009765625, 0.0279541015625, -0.0033721923828125, 0.01123046875, 0.007354736328125, 0.003021240234375, 0.0050048828125, 0.0159912109375, -0.0013885498...

[ 28670, 10763, 678, 6626, 38132, 142424, 2589, 105710, 5612, 13269, 6493, 17198, 50828, 25037, 19305, 765, 10298, 4778, 168763, 1916, 6097, 25632, 16275, 3055, 3871, 47, 2046, 176866, 90, 12638, 280, 344, 3060, 32354 ]

[ 0.1627197265625, 0.0572509765625, 0.1275634765625, 0.20703125, 0.22265625, 0.2269287109375, 0.044342041015625, 0.1148681640625, 0.1181640625, 0.0218505859375, 0.113525390625, 0.024139404296875, 0.084228515625, 0.10400390625, 0.09234619140625, 0.004852294921875, 0.1334228515625, 0.1...

embed

9654014_c0

9654014

python

0

Title: Unexpected output of python list Problem title: Unexpected output of python list Tags: python, list Problem: Unexpected output of python list Code signals: Unexpected, raw_input

Unexpected output of python list Unexpected output of python list python list Unexpected raw_input Unexpected output of python list I am new to python and I am trying to run following code: Output: but, when i dry run the program the expected output should be Its like after each iteration list is reassigned, but as I a...

[ 0.0014190673828125, 0.00628662109375, -0.00135040283203125, 0.01318359375, -0.0101318359375, 0.017822265625, 0.0025177001953125, 0.007293701171875, -0.000537872314453125, 0.0341796875, 0.00823974609375, -0.01177978515625, 0.0086669921875, 0.0206298828125, -0.01904296875, -0.01208496093...

[ 992, 83613, 13, 89829, 140992, 111, 17198, 50828, 5303, 49649, 73, 7077, 3525, 47, 31577, 11675, 25632, 18151, 13538, 1284, 3229, 17, 36898, 1528, 84751, 5608, 186, 1884, 7103, 12638, 720, 456, 162, 31304, 158661, 214, 14, 80854, 4358 ]

[ 0.10443115234375, 0.125732421875, 0.124755859375, 0.0799560546875, 0.2548828125, 0.07177734375, 0.122314453125, 0.1705322265625, 0.2305908203125, 0.222900390625, 0.117919921875, 0.1234130859375, 0.0751953125, 0.054718017578125, 0.051116943359375, 0.1580810546875, 0.044952392578125, ...

embed

34002541_c0

34002541

python

0

Title: count number of lists inside a list python Problem title: count number of lists inside a list python Tags: count, list, python Problem: count number of lists inside a list python

count number of lists inside a list python count number of lists inside a list python count list python count number of lists inside a list python I have a list like this : How can i count how many lists i have inside list called test ?

[ 0.0019073486328125, 0.006011962890625, -0.0166015625, 0.02880859375, 0.0120849609375, 0.00171661376953125, 0.000682830810546875, -0.007293701171875, 0.00506591796875, -0.0072021484375, -0.016845703125, -0.04345703125, 0.022216796875, 0.03369140625, -0.00457763671875, -0.007080078125, ...

[ 54529, 14012, 111, 5303, 7, 46132, 17198, 50828, 10, 765, 1884, 903, 17, 3642, 5941, 35839, 3034 ]

[ 0.1865234375, 0.125, 0.078857421875, 0.257568359375, 0.1131591796875, 0.2047119140625, 0.10028076171875, 0.1185302734375, 0.07830810546875, 0.06549072265625, 0.052215576171875, 0.02899169921875, 0.0213623046875, 0.042388916015625, 0.095703125, 0.00531005859375, 0.2203369140625 ]

embed

36959696_c0

36959696

python

0

Title: how to filter nested list in python Problem title: how to filter nested list in python Tags: python Problem: how to filter nested list in python Code signals: ValueError, my_list

how to filter nested list in python how to filter nested list in python python ValueError my_list how to filter nested list in python I have the follow list: I want to retrieve the follow data: [x,y,[z]][x+1,y+1,[z]][x+2,y+2,[z]][x+3,y+3,[z]] should get: where x is a index of character in a word, y is line number and z...

[ -0.01116943359375, 0.016845703125, 0.00084686279296875, -0.0142822265625, 0.01409912109375, 0.0172119140625, 0.001373291015625, 0.004180908203125, 0.0224609375, 0.001678466796875, 0.01104736328125, -0.036376953125, 0.01953125, 0.01434326171875, -0.01177978515625, -0.004791259765625, ...

[ 3642, 46312, 8512, 71, 5303, 23, 17198, 50828, 47, 190060, 18468, 31611, 759, 6562, 28960, 3444, 456, 3996, 3134, 2053, 53, 169, 21748, 54651, 85398, 5608, 2046, 1022, 63262, 62816, 2565, 113, 13315, 14012, 97, 3365, 316, 831, 1957, 1286,...

[ 0.05316162109375, 0.263671875, 0.27783203125, 0.160400390625, 0.2301025390625, 0.05364990234375, 0.1456298828125, 0.18896484375, 0.0361328125, 0.203857421875, 0.114990234375, 0.1239013671875, 0.1439208984375, 0.2137451171875, 0.1558837890625, 0.05633544921875, 0.0238494873046875, 0...

embed

50175183_c0

50175183

python

0

Title: Strange assignment in python Problem title: Strange assignment in python Tags: python Problem: Strange assignment in python Code signals: Strange, ind1, new_point, heuristic_dist

Strange assignment in python Strange assignment in python python Strange ind1 new_point heuristic_dist Strange assignment in python I am trying to develop a mutation (genetic algorithm) operator in python. My population is an array of tuples - (array (solution) , float (objective function)). Considering in this case th...

[ 0.00830078125, 0.006591796875, -0.0203857421875, -0.0038604736328125, 0.00885009765625, -0.00011539459228515625, -0.034423828125, 0.00897216796875, 0.01519775390625, 0.0030517578125, 0.00653076171875, -0.0240478515625, 0.0213623046875, -0.0123291015625, -0.021484375, -0.022705078125, ...

[ 187791, 95486, 674, 23, 17198, 50828, 2752, 418, 3525, 38496, 764, 474, 48242, 46295, 31577, 85493, 199334, 15292, 9523, 234873, 39933, 2646, 43904, 10298, 53, 370, 99726, 19305, 166589, 21917, 257, 187694, 32354, 137399, 13267, 29806, 106, 3...

[ 0.270263671875, 0.26123046875, 0.109130859375, 0.0855712890625, 0.1552734375, 0.2049560546875, 0.1876220703125, 0.1441650390625, 0.123779296875, 0.210205078125, 0.08062744140625, 0.111083984375, 0.10760498046875, 0.156494140625, 0.049713134765625, 0.088134765625, 0.223388671875, 0....

embed

59113428_c0

59113428

python

0

Title: changing a list of strings in python Problem title: changing a list of strings in python Tags: python, list Problem: changing a list of strings in python Code signals: AAAAA, BBB

changing a list of strings in python changing a list of strings in python python list AAAAA BBB changing a list of strings in python I am trying to change this list to something that looks like this i have tried multiple ways and cant figure it out

[ 0.0040283203125, -0.00836181640625, 0.015869140625, 0.029296875, 0.0072021484375, -0.0037078857421875, -0.00021076202392578125, 0.0086669921875, 0.0201416015625, 0.07763671875, -0.0020904541015625, -0.0045166015625, 0.01141357421875, 0.0213623046875, -0.024658203125, -0.0079345703125, ...

[ 151134, 5303, 111, 79315, 7, 23, 17198, 50828, 10, 155616, 15467, 335, 22312, 31577, 15549, 903, 47, 9844, 33342, 1884, 37842, 48716, 48322, 45767, 26366, 1810 ]

[ 0.226806640625, 0.215576171875, 0.0733642578125, 0.25244140625, 0.037017822265625, 0.075927734375, 0.1251220703125, 0.1767578125, 0.01287841796875, 0.1873779296875, 0.1705322265625, 0.043365478515625, 0.2138671875, 0.072509765625, 0.2032470703125, 0.1087646484375, 0.104248046875, 0...

embed

53766807_c1

53766807

python

1

819 228 8.93 1840 6 231 818 225 8.05 1710 7 234 817 225 7.90 1610 8 210 817 224 7.60 1590 9 200 816 221 7.53 1590 10 199 810 219 7.41 1550 Code signals: Seaborn, DataFrames, Matplotlib

[ 0.04052734375, 0.024658203125, -0.00970458984375, -0.00299072265625, 0.0027923583984375, 0.0057373046875, 0.0101318359375, 0.006622314453125, -0.001617431640625, 0.05615234375, -0.016357421875, -0.0196533203125, -0.00238037109375, 0.00958251953125, -0.01300048828125, 0.0062255859375, ...

[ 382, 2947, 133008, 3217, 11591, 167777, 305, 140911, 1819, 57947, 8194, 729, 963, 361, 131210, 2489, 2861, 5039, 611, 43980, 121273, 4598, 423, 1781, 2485, 128811, 121908, 363, 209, 88906, 128208, 8894, 2525, 28864, 26073, 7, 12, 27414, 573...

[ 0.1531982421875, 0.2418212890625, 0.253173828125, 0.1259765625, 0.2037353515625, 0.269287109375, 0.0797119140625, 0.1845703125, 0.1220703125, 0.16748046875, 0.1143798828125, 0.1014404296875, 0.152587890625, 0.0282745361328125, 0.172607421875, 0.1383056640625, 0.027435302734375, 0.1...

embed

76687792_c0

76687792

python

0

Title: Lookup column name in column Problem title: Lookup column name in column Tags: python-polars, python Problem: Lookup column name in column Code signals: Lookup, pl.DataFrame, i64

Lookup column name in column Lookup column name in column python-polars python Lookup pl.DataFrame i64 Lookup column name in column Say I have I want add a column which, for each row, take the value in the row corresponding to the column in column . Expected output:

[ 0.0216064453125, -0.004180908203125, 0.0152587890625, 0.039794921875, 0.00604248046875, 0.00946044921875, 0.013671875, 0.00982666015625, -0.006866455078125, 0.01397705078125, 0.0031890869140625, 0.00092315673828125, -0.033935546875, 0.0184326171875, -0.0238037109375, -0.001815795898437...

[ 60818, 2037, 3365, 316, 19, 9351, 23, 17198, 50828, 771, 320, 7, 6456, 137989, 108386, 17, 13307, 25916, 765, 3444, 15190, 100, 12638, 15555, 5646, 34292, 70, 42518, 5, 60075, 13, 140992 ]

[ 0.149658203125, 0.1796875, 0.1610107421875, 0.173095703125, 0.07159423828125, 0.1204833984375, 0.09161376953125, 0.040191650390625, 0.1053466796875, 0.112060546875, 0.1556396484375, 0.006256103515625, 0.06903076171875, 0.0126953125, 0.10479736328125, 0.00994873046875, 0.1851806640625...

embed

26541083_c0

26541083

python

0

Title: Python: How to get intervals by points Problem title: Python: How to get intervals by points Tags: python Problem: Python: How to get intervals by points Code signals: Python, How

Python: How to get intervals by points Python: How to get intervals by points python Python How Python: How to get intervals by points I have a list of points: How to generate all intervals in distance [0;1]? For example set of lists: And after I want check to which interval refer new input value. How to do it?

[ 0.008056640625, -0.0079345703125, 0.00469970703125, 0.024169921875, -0.0263671875, 0.0029449462890625, -0.0081787109375, -0.01171875, -0.007568359375, -0.025634765625, 0.00021457672119140625, -0.021484375, -0.0250244140625, 0.01348876953125, -0.00848388671875, 0.0133056640625, -0.009...

[ 145581, 12, 11249, 47, 2046, 51514, 7, 390, 26847, 17198, 50828, 87, 765, 5303, 139392, 756, 23, 62488, 2389, 74, 76172, 5423, 3444, 12765, 15005, 3525, 107730, 34292, 54 ]

[ 0.24072265625, 0.013916015625, 0.06903076171875, 0.05877685546875, 0.1290283203125, 0.275634765625, 0.1380615234375, 0.146484375, 0.2232666015625, 0.08544921875, 0.0977783203125, 0.018798828125, 0.0169830322265625, 0.11376953125, 0.13623046875, 0.063720703125, 0.002288818359375, 0....

embed

3205956_c0

3205956

python

0

Title: How to remove values from item list Problem title: How to remove values from item list Tags: python Problem: How to remove values from item list Code signals: item, How, rank_item

How to remove values from item list How to remove values from item list python item How rank_item How to remove values from item list I am new to python. I have a item list looks like this: The question is how do i remove the item list with value 0.0 and return

[ -0.0167236328125, -0.00067901611328125, -0.0201416015625, -0.009765625, -0.01953125, -0.0159912109375, -0.004180908203125, -0.004180908203125, 0.01806640625, 0.029296875, 0.032470703125, -0.00029754638671875, 0.0167236328125, -0.00156402587890625, -0.020263671875, -0.01104736328125, ...

[ 11249, 47, 87388, 142424, 1295, 35735, 5303, 17198, 50828, 30648, 217, 195, 444, 3525, 33342, 1884, 903, 9655, 3642, 54, 17, 70, 678, 34292, 89678, 30646 ]

[ 0.0897216796875, 0.09320068359375, 0.235107421875, 0.2291259765625, 0.160400390625, 0.221923828125, 0.20751953125, 0.1121826171875, 0.162353515625, 0.2139892578125, 0.1417236328125, 0.13037109375, 0.0147705078125, 0.06829833984375, 0.0947265625, 0.0450439453125, 0.02691650390625, 0...

embed

40387058_c0

40387058

python

0

Title: Need help in Parsing Data Problem title: Need help in Parsing Data Tags: shell, python, javascript, apache-pig Problem: Need help in Parsing Data Code signals: Need, Parsing, Data

Need help in Parsing Data Need help in Parsing Data shell python javascript apache-pig Need Parsing Data Need help in Parsing Data I have this format of data: And am looking for results in this format using pig/python/shell scripting. Can anyone help me with it?

[ 0.01275634765625, 0.0267333984375, -0.020263671875, 0.03515625, -0.0045166015625, 0.034912109375, -0.0086669921875, 0.0012054443359375, -0.00946044921875, -0.000598907470703125, -0.0186767578125, -0.01239013671875, -0.006195068359375, 0.006866455078125, -0.017578125, 0.0147705078125, ...

[ 52889, 4358, 23, 2392, 6953, 11809, 128019, 17198, 50828, 136951, 2241, 1430, 254, 872, 765, 903, 9384, 2053, 444, 16487, 100, 50339, 17368, 53408, 6493, 26499, 214, 4171, 35672, 163, 678 ]

[ 0.1610107421875, 0.177978515625, 0.07379150390625, 0.1851806640625, 0.1339111328125, 0.1890869140625, 0.1915283203125, 0.06719970703125, 0.1181640625, 0.1802978515625, 0.09808349609375, 0.0809326171875, 0.1190185546875, 0.1856689453125, 0.029571533203125, 0.0828857421875, 0.179931640...

embed

4152817_c0

4152817

python

0

Title: *.npy reader for windows Problem title: *.npy reader for windows Tags: python, numpy Problem: *.npy reader for windows Does exist any *.npy files reader/visualizer ? (for Windows)

*.npy reader for windows *.npy reader for windows python numpy *.npy reader for windows Does exist any *.npy files reader/visualizer ? (for Windows)

[ 0.00360107421875, -0.005096435546875, 0.006622314453125, -0.01275634765625, 0.01287841796875, -0.00457763671875, 0.02197265625, -0.0135498046875, -0.00994873046875, -0.0284423828125, 0.01904296875, 0.007293701171875, 0.0135498046875, -0.032958984375, 0.0048828125, -0.005126953125, 0....

[ 661, 19, 6493, 155255, 100, 54825, 17198, 50828, 13269, 32316, 2499, 5, 102158, 1824, 20605, 52825, 2472, 3773 ]

[ 0.06494140625, 0.10284423828125, 0.25927734375, 0.260498046875, 0.084228515625, 0.170654296875, 0.0653076171875, 0.1077880859375, 0.09564208984375, 0.09033203125, 0.050567626953125, 0.00384521484375, 0.1329345703125, 0.0977783203125, 0.1142578125, 0.1441650390625, 0.06109619140625, ...

embed

48423098_c0

48423098

python

0

Title: Plot curve using pyplot Problem title: Plot curve using pyplot Tags: python, matplotlib Problem: Plot curve using pyplot Code signals: pyplot, Plot, np.array, plt.xticks, plt.plot

Plot curve using pyplot Plot curve using pyplot python matplotlib pyplot Plot np.array plt.xticks plt.plot Plot curve using pyplot I have 2 curves with 5 data points: when I plot it, I expect 2 curves but get straight lines instead: How can I make pyplot plot curves like it should be? UPDATE: I use Python 3.5.2 and mat...

[ 0.007781982421875, 0.0126953125, -0.00396728515625, 0.003204345703125, -0.00408935546875, 0.000698089599609375, 0.005615234375, -0.0191650390625, 0.005584716796875, 0.0234375, -0.0184326171875, -0.033447265625, -0.01092529296875, -0.00106048583984375, -0.0179443359375, -0.0095825195312...

[ 168763, 9709, 272, 17368, 17198, 105710, 50828, 2589, 5612, 25037, 19305, 6456, 18, 118, 22824, 87, 765, 116, 3132, 190, 2053, 26847, 23577, 41206, 1284, 2046, 80560, 124519, 64457, 11249, 831, 3249, 1884, 5608, 186, 4527, 145581, 1031, 158...

[ 0.2227783203125, 0.18017578125, 0.159912109375, 0.0721435546875, 0.1243896484375, 0.273681640625, 0.1014404296875, 0.024261474609375, 0.1273193359375, 0.0147552490234375, 0.053009033203125, 0.073974609375, 0.0697021484375, 0.0270843505859375, 0.06884765625, 0.008026123046875, 0.00573...

embed

49697874_c0

49697874

python

0

Title: Create new column with means by group Problem title: Create new column with means by group Tags: pandas, python Problem: Create new column with means by group Code signals: Create

Create new column with means by group Create new column with means by group pandas python Create Create new column with means by group I want to create a new E column with next conditions, per each A group: E value will be B mean values where D=0 (in 2002-01-13 A group, E value will be mean between 180 and 220, that´s ...

[ 0.004974365234375, -0.006561279296875, -0.0289306640625, 0.0263671875, -0.006805419921875, 0.006622314453125, 0.00897216796875, 0.0028533935546875, 0.0162353515625, -0.0048828125, -0.013916015625, 0.00341796875, 0.03173828125, -0.006927490234375, -0.0281982421875, 0.0130615234375, -0...

[ 151313, 3525, 3365, 316, 19, 678, 26950, 390, 21115, 2652, 1124, 17198, 50828, 3444, 28282, 241, 11737, 27289, 12638, 62, 34292, 335, 29459, 142424, 391, 145407, 5726, 45669, 2681, 17721, 8719, 23336, 1781, 32316, 1369, 1542, 1723, 11343, 3...

[ 0.1156005859375, 0.1224365234375, 0.20068359375, 0.2174072265625, 0.141845703125, 0.07391357421875, 0.21484375, 0.138671875, 0.254638671875, 0.1103515625, 0.1182861328125, 0.0992431640625, 0.1607666015625, 0.076416015625, 0.1514892578125, 0.167236328125, 0.0543212890625, 0.18664550...

embed

52666429_c0

52666429

python

0

Title: Getting exception details Problem title: Getting exception details Tags: python Problem: Getting exception details Code signals: Getting, file.log, read_data, file.read, Exception

Getting exception details Getting exception details python Getting file.log read_data file.read Exception Getting exception details I know I can catch exceptions in python like: But how to get exception type or error message?

[ 0.0341796875, 0.036865234375, -0.01373291015625, -0.000347137451171875, 0.029052734375, -0.0022735595703125, 0.034423828125, -0.00732421875, -0.002838134765625, -0.00518798828125, 0.00830078125, -0.01519775390625, -0.01422119140625, -0.006988525390625, 0.0174560546875, -0.0055236816406...

[ 210732, 131527, 41653, 17198, 50828, 11435, 4867, 12301, 10135, 39116, 5443, 63928, 3714, 831, 105556, 7, 23, 1884, 3642, 2046, 10644, 707, 18499, 26008 ]

[ 0.0924072265625, 0.2332763671875, 0.2191162109375, 0.1083984375, 0.1878662109375, 0.0924072265625, 0.1297607421875, 0.11376953125, 0.0618896484375, 0.1363525390625, 0.079345703125, 0.207275390625, 0.0340576171875, 0.0247802734375, 0.12060546875, 0.0168304443359375, 0.0196380615234375...

embed

61684557_c0

61684557

python

0

Title: Pandas date range offset table Problem title: Pandas date range offset table Tags: pandas, python Problem: Pandas date range offset table Code signals: Pandas, Quantity, Date, NaN

Pandas date range offset table Pandas date range offset table pandas python Pandas Quantity Date NaN Pandas date range offset table Suppose I have a DataFrame with a single column indexed by date like so I want to convert this into a multi-column dataframe where each column represents the value at an offset from the in...

[ 0.006500244140625, -0.015625, -0.0093994140625, 0.01422119140625, -0.0081787109375, -0.0211181640625, 0.01031494140625, 0.004241943359375, -0.002532958984375, 0.0546875, -0.015869140625, -0.00592041015625, 0.021240234375, 0.0002460479736328125, 0.002685546875, -0.0019989013671875, -0...

[ 89308, 7, 5622, 37457, 5773, 3509, 23180, 2652, 1124, 17198, 50828, 75344, 2481, 25512, 353, 839, 121691, 11809, 108386, 282, 11001, 3365, 316, 63262, 390, 1884, 3444, 96760, 3934, 6024, 8447, 2053, 160328, 12638, 33636, 34292, 142, 1295, 3...

[ 0.1934814453125, 0.1015625, 0.134033203125, 0.1900634765625, 0.2225341796875, 0.1611328125, 0.2030029296875, 0.10247802734375, 0.149658203125, 0.0438232421875, 0.1343994140625, 0.088134765625, 0.028656005859375, 0.1168212890625, 0.0816650390625, 0.09027099609375, 0.014404296875, 0....

embed

73140803_c0

73140803

python

0

Title: Numpy array reshape element-wise Problem title: Numpy array reshape element-wise Tags: numpy, python, reshape, arrays Problem: Numpy array reshape element-wise Code signals: Numpy

Numpy array reshape element-wise Numpy array reshape element-wise numpy python reshape arrays Numpy Numpy array reshape element-wise I have a 3-D array size = (3,2,3) How to reshape to (3,3,2):

[ 0.0030670166015625, 0.01153564453125, -0.009521484375, -0.00121307373046875, 0.01373291015625, 0.0137939453125, -0.0007171630859375, 0.01409912109375, 0.011474609375, 0.025634765625, 0.00830078125, -0.023193359375, -0.007232666015625, 0.01519775390625, -0.0162353515625, -0.001449584960...

[ 52782, 6493, 10298, 53, 456, 2420, 1081, 12830, 90825, 13269, 17198, 50828, 4778, 87, 765, 5691, 397, 13267, 6896, 155761, 11249, 47, 363, 10461 ]

[ 0.178466796875, 0.2244873046875, 0.214599609375, 0.167236328125, 0.1513671875, 0.2442626953125, 0.158447265625, 0.145263671875, 0.2100830078125, 0.1585693359375, 0.06439208984375, 0.12841796875, 0.06005859375, 0.008544921875, 0.005126953125, 0.1466064453125, 0.10400390625, 0.144042...

embed

25775330_c0

25775330

python

0

Title: Python format Decimal near zero Problem title: Python format Decimal near zero Tags: decimal, python, numbers Problem: Python format Decimal near zero Code signals: decimal, Python

Python format Decimal near zero Python format Decimal near zero decimal python numbers decimal Python Python format Decimal near zero I'm trying to parse a near 0 number using the decimal.Decimal python module: What would be the best way to print "0.00000061" instead of "6.1E-7"?

[ -0.00274658203125, 0.006500244140625, -0.006744384765625, -0.00848388671875, 0.0033721923828125, -0.002288818359375, 0.0220947265625, 0.006500244140625, -0.0091552734375, 0.060791015625, -0.00958251953125, 0.00347900390625, -0.0162353515625, 0.0235595703125, 0.01544189453125, -0.013183...

[ 145581, 9384, 49132, 2749, 43573, 45234, 32380, 17198, 50828, 101935, 31577, 366, 184, 757, 14012, 4657, 318, 88996, 2965, 3917, 28412, 37509, 28568, 11540, 64457, 173245, 647, 16709 ]

[ 0.2198486328125, 0.1954345703125, 0.1600341796875, 0.1300048828125, 0.203125, 0.1796875, 0.146484375, 0.10467529296875, 0.1485595703125, 0.12939453125, 0.03363037109375, 0.10205078125, 0.06396484375, 0.146484375, 0.150390625, 0.0709228515625, 0.1160888671875, 0.1405029296875, 0.0...

embed

34395988_c1

34395988

python

1

:372, RRA:AVERAGE:0.5:144:732, RRA:MIN:0.5:1:288, RRA:MIN:0.5:6:336, RRA:MIN:0.5:24:372, RRA:MIN:0.5:144:732, RRA:MAX:0.5:1:288, RRA:MAX:0.5:6:336, RRA:MAX:0.5:24:372, RRA:MAX:0.5:144:732

[ -0.0084228515625, -0.00408935546875, 0.01055908203125, 0.0123291015625, 0.005645751953125, 0.005401611328125, 0.0230712890625, -0.01031494140625, 0.0205078125, 0.042236328125, -0.00170135498046875, -0.01171875, -0.006134033203125, -0.01214599609375, 0.00151824951171875, 0.0181884765625...

[ 152, 108265, 4, 627, 12280, 12, 284, 33255, 75930, 93645, 131663, 13574, 304, 84139, 19721, 103064, 910, 31191, 25732, 83948 ]

[ 0.1593017578125, 0.331298828125, 0.1640625, 0.1192626953125, 0.2384033203125, 0.1348876953125, 0.193115234375, 0.306884765625, 0.2222900390625, 0.236328125, 0.231689453125, 0.1810302734375, 0.1966552734375, 0.26416015625, 0.058837890625, 0.2120361328125, 0.162353515625, 0.139648437...

embed

45737574_c0

45737574

python

0

Title: percentile for datetime column python Problem title: percentile for datetime column python Tags: python, percentile, datetime, pandas Problem: percentile for datetime column python

percentile for datetime column python percentile for datetime column python python percentile datetime pandas percentile for datetime column python Is there a way to compute the percentile for a dataframe column with datetime format while still retaining the datetime format (Y-m-d H:M:S) and not converted to seconds fo...

[ 0.01312255859375, -0.00811767578125, 0.00013065338134765625, 0.020263671875, -0.0047607421875, -0.0245361328125, 0.006591796875, -0.00665283203125, -0.0250244140625, -0.0113525390625, -0.01007080078125, 0.017578125, 0.00628662109375, -0.00970458984375, -0.027587890625, -0.0090942382812...

[ 33297, 1340, 100, 5622, 6032, 3365, 316, 19, 17198, 50828, 2652, 1124, 10, 3917, 9969, 6743, 70, 2053, 160328, 678, 9384, 12960, 7464, 112033, 1723, 9, 71, 572, 12, 594, 294, 959, 117176, 47, 94131, 34292, 27781 ]

[ 0.254150390625, 0.2271728515625, 0.1080322265625, 0.119140625, 0.1790771484375, 0.11279296875, 0.1351318359375, 0.0212554931640625, 0.07794189453125, 0.1390380859375, 0.062103271484375, 0.116455078125, 0.00421142578125, 0.0675048828125, 0.11328125, 0.116943359375, 0.042236328125, 0...

embed

48660492_c0

48660492

python

0

Title: Merging 2 dictionaries in python Problem title: Merging 2 dictionaries in python Tags: python, dictionary Problem: Merging 2 dictionaries in python Code signals: Merging, rogs30541

Merging 2 dictionaries in python Merging 2 dictionaries in python python dictionary Merging rogs30541 Merging 2 dictionaries in python I have two dictionary: a= and b= i've tried to merge them with both a.update(b) and a={**a, **b} but both gives this output when i print(a): which is basicly a=b, how to merge A and B s...

[ 0.0059814453125, 0.0245361328125, -0.002899169921875, 0.0031585693359375, 0.000713348388671875, 0.00421142578125, -0.029052734375, 0.01416015625, -0.0020751953125, -0.0137939453125, 0.0169677734375, -0.002960205078125, -0.0074462890625, 0.006195068359375, 0.0111083984375, 0.00872802734...

[ 6035, 9966, 116, 45, 10763, 11, 10484, 23, 17198, 50828, 33906, 169920, 8894, 6626, 6635, 10, 1369, 136, 876, 37842, 42564, 2856, 15044, 117008, 275, 25442, 16459, 76199, 903, 140992, 28412, 132, 62822, 3642, 47, 62, 335, 83 ]

[ 0.206298828125, 0.1300048828125, 0.1826171875, 0.126953125, 0.181640625, 0.1097412109375, 0.1016845703125, 0.046173095703125, 0.132568359375, 0.166748046875, 0.1104736328125, 0.0655517578125, 0.0570068359375, 0.12939453125, 0.1219482421875, 0.0804443359375, 0.1661376953125, 0.12182...

embed

51218054_c0

51218054

python

0

Title: Nested loop on a list Problem title: Nested loop on a list Tags: python, python-3.x, loops, for-loop, list Problem: Nested loop on a list Code signals: Nested, q.append, python-3.x

Nested loop on a list Nested loop on a list python python-3.x loops for-loop list Nested q.append python-3.x Nested loop on a list see the code below: the desired output should be: but instead the output is: any thoughts why?

[ 0.0034637451171875, 0.015869140625, -0.00074005126953125, 0.015625, 0.01220703125, 0.01611328125, 0.01165771484375, 0.0155029296875, 0.0159912109375, -0.00640869140625, 0.00732421875, -0.0272216796875, 0.00531005859375, 0.035888671875, -0.038818359375, -0.00162506103515625, 0.0159912...

[ 28701, 71, 40956, 98, 5303, 10, 17198, 50828, 8316, 425, 100, 28354, 8096, 9007, 3611, 1957, 18151, 35064, 104851, 140992, 5608, 186, 1284, 64457, 83, 38514, 15400 ]

[ 0.266357421875, 0.137939453125, 0.228515625, 0.1307373046875, 0.2303466796875, 0.02227783203125, 0.068115234375, 0.1270751953125, 0.0953369140625, 0.07501220703125, 0.109130859375, 0.165283203125, 0.1405029296875, 0.0902099609375, 0.0711669921875, 0.0389404296875, 0.08251953125, 0....

embed

60848474_c1

60848474

python

1

-03-09 2 C 2019-03-09 3 D 2020-01-02 4 E 2020-01-17 5 H 2019-10-05 6 I 2018-03-09 7 J 2020-01-21 8 K 2019-03-08 9 L 2019-02-12 Code signals: dataframe, Remove, March, Feb, PORTFOLIO, DATE

[ 0.00946044921875, 0.01214599609375, -0.01104736328125, 0.034423828125, -0.00726318359375, -0.003997802734375, -0.003936767578125, 0.032470703125, 0.01953125, 0.058837890625, -0.0164794921875, -0.0262451171875, 0.0081787109375, -0.0030517578125, -0.00830078125, 0.016845703125, 0.00357...

[ 37151, 6463, 116, 313, 3640, 138, 391, 11075, 45669, 201, 241, 190, 572, 52486, 305, 87, 267, 361, 821, 382, 341, 483, 339, 43627, 1530, 28864, 26073, 7, 12, 2053, 160328, 181139, 11994, 43677, 122390, 172155, 17780, 35746 ]

[ 0.1656494140625, 0.1529541015625, 0.05059814453125, 0.08056640625, 0.129638671875, 0.04241943359375, 0.1148681640625, 0.087646484375, 0.029937744140625, 0.022003173828125, 0.04132080078125, 0.027984619140625, 0.0689697265625, 0.01727294921875, 0.05584716796875, 0.050811767578125, 0.0...

embed

62181704_c0

62181704

python

0

Title: How to split .txt according the column? Problem title: How to split .txt according the column? Tags: text, python Problem: How to split .txt according the column? Code signals: How

How to split .txt according the column? How to split .txt according the column? text python How How to split .txt according the column? I have a file.txt and it looks like: and I want to split it into three columns with data type string.(without using for-loop)

[ 0.00384521484375, -0.0299072265625, -0.00396728515625, 0.037353515625, -0.0181884765625, -0.00921630859375, 0.0211181640625, 0.00238037109375, -0.01068115234375, -0.0019378662109375, -0.015869140625, 0.0019073486328125, -0.0341796875, 0.0023040771484375, -0.007354736328125, -0.00454711...

[ 11249, 47, 65450, 5, 124326, 59499, 70, 3365, 316, 19, 32, 6, 7986, 17198, 50828, 11435, 33342, 1884, 3444, 3934, 17262, 1779, 2053, 10644, 79315, 6056, 100, 28354 ]

[ 0.087158203125, 0.091064453125, 0.218017578125, 0.085693359375, 0.275390625, 0.1556396484375, 0.03863525390625, 0.1610107421875, 0.17529296875, 0.0751953125, 0.004669189453125, 0.000396728515625, 0.1258544921875, 0.05517578125, 0.107666015625, 0.12158203125, 0.10150146484375, 0.063...

embed

58200914_c0

58200914

python

0

Title: For loop adds 20 minutes till the time is 17:16 Problem title: For loop adds 20 minutes till the time is 17:16 Tags: python Problem: For loop adds 20 minutes till the time is 17:16

For loop adds 20 minutes till the time is 17:16 For loop adds 20 minutes till the time is 17:16 python For loop adds 20 minutes till the time is 17:16 I want my code to print: The train will leave at 13:36 tomorrow . . The train will leave at 17:16 tomorrow Asuming that trains leave every 20 minutes. Here is what i hav...

[ 0.007354736328125, -0.0302734375, -0.021484375, 0.020751953125, -0.0159912109375, -0.0223388671875, -0.0262451171875, 0.004852294921875, 0.0032958984375, -0.009521484375, 0.0218505859375, -0.001708984375, 0.003692626953125, 0.02734375, 0.0030670166015625, -0.007049560546875, 0.011901...

[ 1326, 40956, 15190, 387, 14633, 570, 70, 1733, 729, 22354, 83, 17198, 50828, 3444, 18151, 28412, 581, 25550, 31358, 99, 702, 32944, 127773, 316, 7, 11907, 5, 9790, 2060, 51042, 3371, 86531, 18468, 31611, 831, 18, 95486, 47, 39933, 444, ...

[ 0.16015625, 0.22265625, 0.187255859375, 0.1939697265625, 0.268310546875, 0.130615234375, 0.021331787109375, 0.1820068359375, 0.1478271484375, 0.256591796875, 0.015167236328125, 0.08843994140625, 0.1630859375, 0.05352783203125, 0.1629638671875, 0.1793212890625, 0.00531005859375, 0.2...

embed

64502972_c3

64502972

python

3

32HwgiQGN, UjM, uzxy4E, _dc_gtm_UA-61915055-6, SPC_CT_75d7a2b7, t5FvxXhnJacZrKkjnIWCUbAgAxAQ3hG5c1tZBzafwc4, SPC_R_T_ID, n6Ek85JJY1JZATlhgutfB4KB3qrbmFDYX1, udv1EBAPegPE9xuzM8HFeCy1duskY9

[ -0.005584716796875, 0.01904296875, 0.0189208984375, -0.03564453125, 0.003570556640625, -0.006866455078125, 0.020751953125, -0.00799560546875, 0.0125732421875, -0.0152587890625, -0.00933837890625, -0.00714111328125, 0.00628662109375, -0.025390625, -0.00994873046875, 0.01055908203125, ...

[ 2789, 841, 434, 735, 2737, 88858, 4, 124064, 594, 958, 50878, 617, 647, 101, 238, 5386, 39, 454, 20004, 13545, 2947, 19236, 11663, 159, 12233, 43379, 6873, 966, 808, 758, 127, 19, 6979, 275, 724, 18, 571, 420, 618, 7146, 653, 910, 1...

[ 0.295166015625, 0.1075439453125, 0.09637451171875, 0.13720703125, 0.1400146484375, 0.2196044921875, 0.1168212890625, 0.1868896484375, 0.193115234375, 0.153564453125, 0.193603515625, 0.1529541015625, 0.1156005859375, 0.07373046875, 0.078369140625, 0.06207275390625, 0.1038818359375, ...

embed

72090234_c0

72090234

python

0

Title: Extract a specific word from a list Problem title: Extract a specific word from a list Tags: list, python Problem: Extract a specific word from a list Code signals: a, Extract, Tap

Extract a specific word from a list Extract a specific word from a list list python a Extract Tap Extract a specific word from a list This is the output of my code and I want to extract the Tap word and store it separately.

[ 0.0185546875, -0.005645751953125, 0.0089111328125, 0.01385498046875, -0.011474609375, 0.01043701171875, 0.00921630859375, 0.01483154296875, 0.004241943359375, 0.0250244140625, 0.004119873046875, -0.0179443359375, -0.00579833984375, 0.02783203125, -0.025390625, -0.0028076171875, 0.026...

[ 31501, 15390, 29458, 2565, 1295, 5303, 17198, 50828, 10, 50266, 140992, 18151, 3444, 125663, 4343, 84797 ]

[ 0.2044677734375, 0.095703125, 0.200927734375, 0.18701171875, 0.1099853515625, 0.204345703125, 0.10052490234375, 0.1412353515625, 0.044189453125, 0.22998046875, 0.090576171875, 0.077880859375, 0.05804443359375, 0.186279296875, 0.1373291015625, 0.1180419921875 ]

embed

38246155_c2

38246155

python

2

09.05.2016 77138e9245857e5449e9474293e31e19 10.05.2016 Code signals: different, pandas, How, pd.merge, left_on, right_on, bc8a731e4c7e6f6b96e56ebe7f766bcd, a703114aa8a03495c3e042647212fa63

[ 0.01361083984375, 0.01116943359375, 0.0017852783203125, 0.0091552734375, 0.000255584716796875, 0.006317138671875, -0.013671875, 0.008056640625, 0.0042724609375, -0.00592041015625, -0.00799560546875, -0.0107421875, 0.011962890625, 0.01019287109375, 0.009033203125, -0.0184326171875, -0...

[ 3894, 20806, 4131, 14154, 141535, 1126, 2357, 10057, 12243, 155103, 14889, 184376, 5016, 2947, 209, 28864, 26073, 7, 12, 12921, 2652, 1124, 11249, 915, 71, 5, 1991, 429, 25737, 454, 191, 7108, 65037, 1019, 11, 11648, 13683, 53574, 420, 17...

[ 0.0192108154296875, 0.1318359375, 0.144775390625, 0.1146240234375, 0.1231689453125, 0.01123046875, 0.032623291015625, 0.009246826171875, 0.0196990966796875, 0.124755859375, 0.041839599609375, 0.0282745361328125, 0.09228515625, 0.082275390625, 0.05706787109375, 0.2489013671875, 0.2841...

embed

40313483_c0

40313483

python

0

Title: Pythonic way to group list by key Problem title: Pythonic way to group list by key Tags: list-comprehension, python Problem: Pythonic way to group list by key Code signals: Pythonic

Pythonic way to group list by key Pythonic way to group list by key list-comprehension python Pythonic Pythonic way to group list by key I have a list that looks like this: What is the most "pythonic" way of turning this into: I know how to do it using for loops and such, but I'm after a cleaner approach.

[ -0.0111083984375, 0.0026092529296875, 0.004119873046875, -0.0281982421875, 0.003936767578125, -0.00579833984375, -0.000209808349609375, 0.0133056640625, 0.00885009765625, 0.01129150390625, -0.01806640625, -0.005767822265625, 0.0108642578125, 0.0103759765625, -0.040771484375, 0.00982666...

[ 145581, 1771, 3917, 47, 21115, 5303, 390, 22799, 4692, 3220, 17198, 50828, 765, 10, 33342, 1884, 903, 2684, 88615, 497, 6402, 174548, 3934, 3714, 54, 100, 40956, 7103, 46622, 56, 51515 ]

[ 0.1988525390625, 0.147705078125, 0.1273193359375, 0.0645751953125, 0.2406005859375, 0.2467041015625, 0.119140625, 0.269775390625, 0.060394287109375, 0.05328369140625, 0.0843505859375, 0.109619140625, 0.045196533203125, 0.026885986328125, 0.149169921875, 0.0904541015625, 0.06469726562...

embed

41033363_c0

41033363

python

0

Title: weird behavior of python 2.7 swap Problem title: weird behavior of python 2.7 swap Tags: python, list, python-2.7 Problem: weird behavior of python 2.7 swap Code signals: python-2.7

weird behavior of python 2.7 swap weird behavior of python 2.7 swap python list python-2.7 python-2.7 weird behavior of python 2.7 swap I want to swap the 1st element ( 4 ) with the 3rd element ( 1 ) for list [-1,4,3,1] , I expect output is [-1, 1, 3, 4] , but why output is [4, 1, 3, 1] ? Using Python 2.7.

[ 0.00482177734375, 0.012451171875, -0.0179443359375, 0.00579833984375, -0.0224609375, -0.0004673004150390625, -0.0206298828125, 0.007720947265625, -0.006927490234375, 0.0390625, 0.01153564453125, 0.012451171875, 0.007568359375, 0.004547119140625, -0.0047607421875, -0.015869140625, 0.0...

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[ 0.225341796875, 0.19384765625, 0.128662109375, 0.169677734375, 0.135498046875, 0.1806640625, 0.29150390625, 0.044464111328125, 0.21826171875, 0.0435791015625, 0.116943359375, 0.067626953125, 0.06170654296875, 0.0491943359375, 0.1861572265625, 0.166015625, 0.12451171875, 0.140380859...

embed

41910947_c0

41910947

python

0

Title: How do I make a grid in python? Problem title: How do I make a grid in python? Tags: grid, python Problem: How do I make a grid in python? Code signals: How, row.append, grid.append

How do I make a grid in python? How do I make a grid in python? grid python How row.append grid.append How do I make a grid in python? This is my code It's not working and i don't know why. This is what i get when i put 5 width and 5 height: That's fine and all but when i change the bottom left dot by using this: grid[...

[ -0.01220703125, 0.0301513671875, 0.0230712890625, 0.0179443359375, -0.007049560546875, -0.000614166259765625, 0.0031280517578125, 0.003814697265625, 0.0205078125, 0.0027313232421875, 0.025390625, -0.0279541015625, -0.01470947265625, 0.0159912109375, -0.031494140625, -0.00677490234375, ...

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[ 0.094970703125, 0.0198516845703125, 0.037933349609375, 0.1578369140625, 0.1123046875, 0.03936767578125, 0.329833984375, 0.0963134765625, 0.150634765625, 0.206298828125, 0.17236328125, 0.0960693359375, 0.0985107421875, 0.1343994140625, 0.07147216796875, 0.118408203125, 0.0380554199218...

embed

42078055_c0

42078055

python

0

Title: numpy: get indices value in a separate column Problem title: numpy: get indices value in a separate column Tags: numpy, python Problem: numpy: get indices value in a separate column

numpy: get indices value in a separate column numpy: get indices value in a separate column numpy python numpy: get indices value in a separate column How to get indices value in a separate column as effienctly as possible? i know how to do this in a loop, but i wonder what other ways there are? from this ndarray to th...

[ 0.0155029296875, -0.03564453125, 0.012939453125, 0.01287841796875, -0.01275634765625, -0.0205078125, 0.011474609375, 0.011962890625, 0.00714111328125, 0.011474609375, -0.002197265625, 0.00537109375, -0.023681640625, 0.002593994140625, -0.02490234375, -0.01214599609375, 0.003021240234...

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[ 0.1259765625, 0.2176513671875, 0.119384765625, 0.23291015625, 0.114501953125, 0.186767578125, 0.06964111328125, 0.1903076171875, 0.1270751953125, 0.152099609375, 0.005859375, 0.007781982421875, 0.05108642578125, 0.095703125, 0.029296875, 0.0151824951171875, 0.0567626953125, 0.03848...

embed

60413710_c0

60413710

python

0

Title: Combine two numpy array together Problem title: Combine two numpy array together Tags: numpy-ndarray, python Problem: Combine two numpy array together Code signals: Combine, float32

Combine two numpy array together Combine two numpy array together numpy-ndarray python Combine float32 Combine two numpy array together I have two numpy array like this, this is the first one, called "pred_test" and this is the second one, called "pred_train" How can i combine the two array to look like pred_train + pr...

[ 0.007354736328125, 0.023193359375, -0.000274658203125, 0.0189208984375, 0.0087890625, 0.01190185546875, 0.002105712890625, 0.01361083984375, 0.0185546875, 0.0145263671875, -0.00555419921875, 0.00457763671875, 0.0064697265625, 0.0145263671875, -0.01214599609375, -0.00457763671875, -0....

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[ 0.23486328125, 0.10211181640625, 0.1563720703125, 0.1434326171875, 0.1893310546875, 0.2159423828125, 0.1507568359375, 0.1890869140625, 0.04913330078125, 0.197265625, 0.0628662109375, 0.154296875, 0.1085205078125, 0.1678466796875, 0.09283447265625, 0.03240966796875, 0.023101806640625,...

embed

65834907_c1

65834907

python

1

hacky. Code signals: Pandas, Styler, CSS, T_394319f6_5c20_11eb_832b_04ed338ce712row0_col6, T_394319f6_5c20_11eb_832b_04ed338ce712row0_col7, T_394319f6_5c20_11eb_832b_04ed338ce712row1_col6

[ 0.005859375, 0.005859375, -0.00421142578125, 0.023681640625, -0.0003223419189453125, -0.033447265625, 0.02294921875, -0.00445556640625, -0.0032806396484375, 0.02001953125, -0.00872802734375, 0.00141143798828125, 0.00836181640625, 0.0155029296875, -0.0015869140625, 0.00616455078125, 0...

[ 85526, 53, 5, 28864, 26073, 7, 12, 89308, 4, 57845, 42, 59279, 384, 454, 161787, 363, 2947, 910, 1549, 1662, 6403, 17168, 275, 7709, 297, 128222, 1530, 15555, 2389, 8447, 329, 238 ]

[ 0.258544921875, 0.24609375, 0.1005859375, 0.275634765625, 0.291015625, 0.153076171875, 0.038299560546875, 0.2257080078125, 0.0321044921875, 0.218994140625, 0.1732177734375, 0.2318115234375, 0.0970458984375, 0.0194091796875, 0.115478515625, 0.0228729248046875, 0.07586669921875, 0.07...

embed

73155257_c0

73155257

python

0

Title: Get definite values from string Problem title: Get definite values from string Tags: python Problem: Get definite values from string Code signals: string, Get, jira.zxz.su, SEO, HKK

Get definite values from string Get definite values from string python string Get jira.zxz.su SEO HKK Get definite values from string I need to get the values of 'name' from such string I want to get an output like 'SEO','HKK' all in one string.

[ -0.0098876953125, 0.008056640625, -0.0252685546875, 0.0213623046875, -0.0107421875, -0.0174560546875, 0.0203857421875, -0.00994873046875, 0.0101318359375, 0.026123046875, -0.007171630859375, 0.01007080078125, -0.01904296875, 0.006317138671875, -0.0021514892578125, 0.021728515625, 0.0...

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[ 0.1192626953125, 0.25732421875, 0.151611328125, 0.234619140625, 0.153564453125, 0.235107421875, 0.089599609375, 0.1595458984375, 0.2362060546875, 0.084228515625, 0.035797119140625, 0.1552734375, 0.222900390625, 0.0855712890625, 0.22509765625, 0.09527587890625, 0.1177978515625, 0.00...

embed

77961293_c0

77961293

python

0

Title: Only first elif statement triggering Problem title: Only first elif statement triggering Tags: python Problem: Only first elif statement triggering Code signals: Only, Please, Error

Only first elif statement triggering Only first elif statement triggering python Only Please Error Only first elif statement triggering This code below works as intended for the if and first elif statement. But if I try and trigger the statements below Python doesn't return anything at all, not even an error code. Trie...

[ -0.00360107421875, 0.01373291015625, -0.0172119140625, 0.0016326904296875, 0.0081787109375, -0.00177001953125, 0.005279541015625, 0.0257568359375, -0.0040283203125, 0.01470947265625, -0.00860595703125, -0.00927734375, -0.00860595703125, 0.0234375, -0.007293701171875, 0.01312255859375, ...

[ 87293, 5117, 88, 3190, 63805, 185553, 17198, 50828, 30607, 212059, 18151, 35064, 43240, 179140, 2174, 4966, 9790, 70, 145581, 22027, 18, 30646, 23937, 756, 18499, 4699, 22, 33558, 14012, 977, 757, 5757, 41206, 28412, 175399, 176377, 33720, 95...

[ 0.1495361328125, 0.1480712890625, 0.105712890625, 0.2215576171875, 0.22998046875, 0.227294921875, 0.1107177734375, 0.1575927734375, 0.208740234375, 0.2227783203125, 0.123291015625, 0.1446533203125, 0.080078125, 0.094970703125, 0.1624755859375, 0.011077880859375, 0.0665283203125, 0....

embed

33657522_c0

33657522

python

0

Title: Pandas - non overlapping group members Problem title: Pandas - non overlapping group members Tags: pandas, python Problem: Pandas - non overlapping group members Code signals: Pandas

Pandas - non overlapping group members Pandas - non overlapping group members pandas python Pandas Pandas - non overlapping group members I have the following dataframe: The data is ordered by the id and the score. id represents a sequence of DNA. Start and end represent positions in id and I would like to keep non ove...

[ 0.00848388671875, -0.005035400390625, 0.00092315673828125, 0.003570556640625, -0.0113525390625, -0.006072998046875, 0.002685546875, -0.016845703125, -0.0062255859375, 0.0380859375, -0.005340576171875, -0.011474609375, 0.0234375, 0.01397705078125, -0.0035400390625, 0.032470703125, -0....

[ 89308, 7, 351, 645, 143, 26783, 21115, 43032, 2652, 1124, 17198, 50828, 765, 25632, 2053, 160328, 12989, 390, 3447, 47763, 33636, 944, 27583, 13794, 136, 3564, 19069, 2806, 1884, 47, 13695, 28756, 5170, 1295, 4734, 167375, 30648, 25647 ]

[ 0.2044677734375, 0.059295654296875, 0.1634521484375, 0.12255859375, 0.165283203125, 0.132568359375, 0.183837890625, 0.190185546875, 0.07318115234375, 0.08441162109375, 0.05023193359375, 0.11767578125, 0.00445556640625, 0.055145263671875, 0.131103515625, 0.22998046875, 0.165771484375,...

embed

38300461_c0

38300461

python

0

Title: Pandas: how to merge df with condition Problem title: Pandas: how to merge df with condition Tags: pandas, python Problem: Pandas: how to merge df with condition Code signals: Pandas

Pandas: how to merge df with condition Pandas: how to merge df with condition pandas python Pandas Pandas: how to merge df with condition I have df and second df I need, if number, A, B is equal to this column in second df, add that to new df and also add string with C is equal string, that we add earlier. Desire outpu...

[ 0.01361083984375, 0.0198974609375, -0.0037384033203125, 0.00726318359375, 0.0019683837890625, -0.01348876953125, -0.00628662109375, 0.00677490234375, -0.006500244140625, 0.033935546875, -0.00014781951904296875, -0.0294189453125, 0.00927734375, 0.005889892578125, 0.01214599609375, 0.011...

[ 89308, 7, 3642, 47, 42564, 104, 420, 678, 35431, 12, 2652, 1124, 17198, 50828, 136, 17932, 3871, 2174, 14012, 62, 4, 335, 105950, 903, 3365, 316, 15190, 3525, 79315, 313, 110680, 56656, 107, 140992, 831, 33022 ]

[ 0.1478271484375, 0.056060791015625, 0.0484619140625, 0.046295166015625, 0.2313232421875, 0.10498046875, 0.2091064453125, 0.141357421875, 0.23681640625, 0.000946044921875, 0.05908203125, 0.050384521484375, 0.03692626953125, 0.08154296875, 0.01922607421875, 0.1529541015625, 0.075561523...

embed

44859182_c0

44859182

python

0

Title: How to convert a list into a 2d matrix? Problem title: How to convert a list into a 2d matrix? Tags: python Problem: How to convert a list into a 2d matrix? Code signals: How, p0-p10

How to convert a list into a 2d matrix? How to convert a list into a 2d matrix? python How p0-p10 How to convert a list into a 2d matrix? I have my data in form of list but for easy access I need them to be in matrix of 11 rows known as p0-p10 and 4 columns as a,b,c,d . This is my data: I have tried with numpy but it's...

[ 0.0050048828125, 0.006378173828125, -0.00390625, 0.0172119140625, 0.008544921875, 0.01513671875, -0.022216796875, 0.005279541015625, 0.0257568359375, 0.0269775390625, 0.01611328125, -0.03857421875, 0.0172119140625, 0.01220703125, -0.049560546875, -0.01177978515625, 0.0167236328125, ...

[ 11249, 47, 96760, 10, 5303, 3934, 116, 71, 50944, 425, 17198, 50828, 915, 2389, 254, 963, 759, 2053, 3173, 23468, 17203, 3871, 186, 23, 111, 534, 15555, 136, 201, 3365, 316, 237, 275, 37842, 678, 13269, 6493, 1284, 959, 20697, 55300 ]

[ 0.0968017578125, 0.08837890625, 0.1875, 0.0843505859375, 0.27734375, 0.1326904296875, 0.1705322265625, 0.164794921875, 0.2364501953125, 0.148681640625, 0.065673828125, 0.12939453125, 0.03802490234375, 0.126708984375, 0.041015625, 0.19384765625, 0.022247314453125, 0.1317138671875, ...

embed

47173925_c0

47173925

python

0

Title: calculate acceleration given speed Problem title: calculate acceleration given speed Tags: data-science, python, physics, datetime, pandas Problem: calculate acceleration given speed

calculate acceleration given speed calculate acceleration given speed data-science python physics datetime pandas calculate acceleration given speed Sorry if this seems like a stupid question, I have a dataset which looks like this Im not exactly sure how to approach this,calculating acceleration requires taking differ...

[ 0.00982666015625, 0.0107421875, -0.0115966796875, 0.00909423828125, 0.00506591796875, -0.047119140625, 0.003875732421875, 0.0164794921875, 0.008056640625, -0.023193359375, 0.0155029296875, -0.010009765625, -0.0208740234375, -0.0098876953125, 0.005584716796875, 0.013671875, -0.0046386...

[ 74481, 67, 197108, 1830, 34475, 38352, 2053, 9, 175201, 17198, 50828, 34053, 27744, 5622, 6032, 2652, 1124, 90502, 2174, 37202, 110833, 9655, 765, 3509, 33342, 1884, 903, 3370, 959, 66161, 9077, 3642, 51515, 6827, 16735, 1916, 144570, 35971, ...

[ 0.21435546875, 0.1241455078125, 0.27001953125, 0.1884765625, 0.17236328125, 0.2169189453125, 0.093505859375, 0.0028076171875, 0.10162353515625, 0.0709228515625, 0.1549072265625, 0.0224609375, 0.037506103515625, 0.05291748046875, 0.103515625, 0.093017578125, 0.128662109375, 0.078979...

embed

5206466_c0

5206466

python

0

Title: Why empty string is on every string? Problem title: Why empty string is on every string? Tags: string, python Problem: Why empty string is on every string? Code signals: Why, s.index

Why empty string is on every string? Why empty string is on every string? string python Why s.index Why empty string is on every string? For example:

[ 0.00072479248046875, -0.0021820068359375, 0.000545501708984375, 0.00836181640625, -0.0255126953125, -0.0024566650390625, 0.0184326171875, -0.01312255859375, 0.02001953125, 0.0177001953125, 0.007659912109375, -0.024658203125, -0.025390625, 0.0257568359375, 0.01165771484375, 0.0101928710...

[ 44084, 201505, 79315, 83, 98, 11907, 17198, 50828, 91, 5, 4711 ]

[ 0.1146240234375, 0.23046875, 0.24609375, 0.059967041015625, 0.117919921875, 0.1397705078125, 0.00830078125, 0.125, 0.0882568359375, 0.001922607421875, 0.189208984375 ]

embed

60721703_c0

60721703

python

0

Title: add an array to existing data frame in python Problem title: add an array to existing data frame in python Tags: pandas, python Problem: add an array to existing data frame in python

add an array to existing data frame in python add an array to existing data frame in python pandas python add an array to existing data frame in python I have an array like i want to add this as a column to my existing data frame of same number of rows as that of array.

[ 0.0322265625, 0.03662109375, -0.01251220703125, 0.017822265625, 0.000934600830078125, -0.00457763671875, -0.005767822265625, 0.005340576171875, -0.006500244140625, -0.006256103515625, 0.016845703125, -0.0194091796875, -0.01409912109375, -0.01458740234375, -0.003326416015625, -0.0057983...

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[ 0.1612548828125, 0.0753173828125, 0.2335205078125, 0.2025146484375, 0.1617431640625, 0.2236328125, 0.1474609375, 0.2274169921875, 0.0679931640625, 0.1380615234375, 0.1859130859375, 0.115234375, 0.1173095703125, 0.004058837890625, 0.0148162841796875, 0.0499267578125, 0.084716796875, ...

embed

63449958_c0

63449958

python

0

Title: Rearrange a table in python Problem title: Rearrange a table in python Tags: datatable, numpy, pandas, python Problem: Rearrange a table in python Code signals: Rearrange, Name, Area

Rearrange a table in python Rearrange a table in python datatable numpy pandas python Rearrange Name Area Rearrange a table in python I have a table (example_table.txt) with more than 700 of rows. Each row contains the value corresponding to 17 different classes. I want to rearrange my table in the following manner (De...

[ 0.0279541015625, 0.0118408203125, 0.005889892578125, 0.0294189453125, 0.00019168853759765625, -0.01263427734375, 0.01190185546875, 0.0218505859375, 0.0030364990234375, 0.048828125, 0.0019378662109375, 0.01556396484375, -0.01416015625, 0.017333984375, -0.0179443359375, 0.005340576171875...

[ 853, 147, 94250, 10, 23180, 23, 17198, 50828, 2053, 22819, 13269, 6493, 2652, 1124, 15757, 79200, 87, 765, 3355, 11, 33209, 5, 124326, 678, 1286, 3501, 10044, 111, 15555, 98423, 70541, 34292, 42518, 729, 12921, 61112, 3444, 456, 25632, 14...

[ 0.1248779296875, 0.1767578125, 0.2142333984375, 0.030975341796875, 0.26806640625, 0.0726318359375, 0.1376953125, 0.1695556640625, 0.1180419921875, 0.2005615234375, 0.0997314453125, 0.139892578125, 0.0992431640625, 0.1075439453125, 0.124755859375, 0.1478271484375, 0.03839111328125, ...

embed

73984584_c0

73984584

python

0

Title: Probability density of data matrix Problem title: Probability density of data matrix Tags: python, gnuplot, bash Problem: Probability density of data matrix Code signals: Probability

Probability density of data matrix Probability density of data matrix python gnuplot bash Probability Probability density of data matrix I have a data file like this: I would like to plot volumes vs probability like the following: Is there any effective python module or bash shell+gnuplot function to deal with this pro...

[ 0.01165771484375, 0.00885009765625, -0.01116943359375, -0.00140380859375, -0.00185394287109375, -0.0033416748046875, 0.022216796875, 0.002685546875, -0.0019989013671875, -0.02490234375, -0.00982666015625, 0.00347900390625, 0.0037078857421875, 0.01116943359375, -0.00946044921875, 0.0184...

[ 152990, 2481, 168, 7, 111, 2053, 50944, 425, 17198, 50828, 104155, 105710, 87109, 87, 765, 11435, 1884, 903, 2806, 47, 23577, 21950, 20209, 37242, 25632, 60266, 88996, 128019, 1328, 32354, 35142, 2967 ]

[ 0.2239990234375, 0.134033203125, 0.2264404296875, 0.127197265625, 0.0596923828125, 0.1385498046875, 0.1954345703125, 0.0574951171875, 0.0904541015625, 0.1513671875, 0.1533203125, 0.2314453125, 0.1578369140625, 0.00372314453125, 0.004913330078125, 0.1190185546875, 0.065185546875, 0....

embed