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
59135465_c0	59135465	python	0	Title: python decimal gives wrong answers Problem title: python decimal gives wrong answers Tags: python, decimal Problem: python decimal gives wrong answers Code signals: decimal, getcontext, Returns	python decimal gives wrong answers python decimal gives wrong answers python decimal decimal getcontext Returns python decimal gives wrong answers This is something you can try in the interpreter, can anyone explain me why? Note: This problem is different from Is floating point math broken? because my answers are not a...	[ 0.0269775390625, 0.00592041015625, -0.01214599609375, 0.0048828125, -0.0048828125, 0.00830078125, -0.0201416015625, -0.0009002685546875, -0.0113525390625, 0.0264892578125, -0.01068115234375, 0.0162353515625, -0.00147247314453125, 0.037353515625, -0.0016937255859375, -0.0101318359375, ...	[ 17198, 50828, 32380, 2749, 76199, 44691, 35166, 2046, 2271, 22829, 173340, 831, 9790, 29481, 56, 73342, 15400, 2967, 12921, 21917, 26518, 6275, 48909, 148431, 10176, 5773, 3917, 88303, 23, 257 ]	[ 0.1171875, 0.16650390625, 0.2100830078125, 0.2041015625, 0.1153564453125, 0.19775390625, 0.1873779296875, 0.05120849609375, 0.06280517578125, 0.2000732421875, 0.1265869140625, 0.0103759765625, 0.071533203125, 0.136962890625, 0.08447265625, 0.07037353515625, 0.071044921875, 0.062255...	embed
65226269_c0	65226269	python	0	Title: Find if value is max for previous rows Problem title: Find if value is max for previous rows Tags: pandas, python Problem: Find if value is max for previous rows Code signals: Find, is_max, NaN	Find if value is max for previous rows Find if value is max for previous rows pandas python Find is_max NaN Find if value is max for previous rows This is my DataFrame: I want to create new bool column with values True or False. This depends on if current value is maximum for previous 4 rows (larger than values in 4 pr...	[ 0.00909423828125, 0.0177001953125, 0.0244140625, 0.0556640625, -0.02197265625, -0.00616455078125, 0.0262451171875, 0.00677490234375, 0.0050048828125, 0.0390625, -0.00970458984375, 0.0023345947265625, 0.0128173828125, -0.01055908203125, 0.007781982421875, -0.007171630859375, 0.0016250...	[ 26040, 2174, 34292, 83, 18389, 100, 96362, 15555, 2652, 1124, 17198, 50828, 24084, 353, 839, 11809, 108386, 282, 3444, 28282, 3525, 142484, 3365, 316, 142424, 87599, 707, 22225, 184, 56566, 43581, 38132, 201, 1505, 3501, 140992 ]	[ 0.1209716796875, 0.1290283203125, 0.18603515625, 0.138427734375, 0.212646484375, 0.08258056640625, 0.1395263671875, 0.1763916015625, 0.064208984375, 0.0657958984375, 0.043914794921875, 0.1124267578125, 0.2181396484375, 0.12841796875, 0.1351318359375, 0.02960205078125, 0.1331787109375...	embed
54557262_c0	54557262	python	0	Title: Apply function to each n rows pandas Problem title: Apply function to each n rows pandas Tags: python, pandas Problem: Apply function to each n rows pandas Code signals: Apply, new_col, avg_col	Apply function to each n rows pandas Apply function to each n rows pandas python pandas Apply new_col avg_col Apply function to each n rows pandas I have a pandas df col which looks like the following: I would like to output a new_col with the % change from the initial value, resetting every fourth value, then a final ...	[ 0.00396728515625, -0.01275634765625, 0.012939453125, 0.0238037109375, 0.004058837890625, -0.005096435546875, 0.0274658203125, 0.00148773193359375, 0.023681640625, 0.0016326904296875, 0.0014495849609375, -0.03955078125, 0.00185394287109375, 0.00087738037109375, -0.00225830078125, 0.0144...	[ 5659, 538, 32354, 47, 12638, 653, 15555, 7, 2652, 1124, 17198, 50828, 3525, 8447, 185, 177, 454, 104, 420, 3365, 33342, 1884, 25632, 2806, 140992, 678, 70, 1745, 15549, 1295, 61475, 34292, 456, 89840, 11907, 22759, 927, 2704, 201, 13315, ...	[ 0.174072265625, 0.101806640625, 0.1920166015625, 0.1419677734375, 0.1790771484375, 0.1195068359375, 0.2305908203125, 0.0340576171875, 0.128662109375, 0.1495361328125, 0.04736328125, 0.1103515625, 0.1240234375, 0.20947265625, 0.189697265625, 0.116455078125, 0.019500732421875, 0.0141...	embed
72526726_c0	72526726	python	0	Title: how I install pandas? Problem title: how I install pandas? Tags: python, pandas, installation Problem: how I install pandas? I have face with this problem wheni tries to install pandas library.	how I install pandas? how I install pandas? python pandas installation how I install pandas? I have face with this problem wheni tries to install pandas library.	[ 0.0185546875, 0.0019073486328125, 0.0030670166015625, 0.001373291015625, -0.000823974609375, -0.007354736328125, 0.0111083984375, -0.018798828125, -0.026123046875, 0.006683349609375, 0.0038299560546875, -0.057373046875, -0.0087890625, -0.00836181640625, 0.0006103515625, 0.010009765625,...	[ 3642, 87, 20600, 2652, 1124, 32, 17198, 50828, 59720, 765, 2577, 678, 903, 2967, 1927, 35773, 1294 ]	[ 0.1143798828125, 0.12042236328125, 0.2257080078125, 0.181640625, 0.20263671875, 0.0148468017578125, 0.0555419921875, 0.1226806640625, 0.1312255859375, 0.02545166015625, 0.0706787109375, 0.032623291015625, 0.0295562744140625, 0.08221435546875, 0.045806884765625, 0.10064697265625, 0.02...	embed
77748909_c0	77748909	python	0	Title: Python truncate float with 19 chars Problem title: Python truncate float with 19 chars Tags: floating-point, python Problem: Python truncate float with 19 chars Code signals: Python, json.loads	Python truncate float with 19 chars Python truncate float with 19 chars floating-point python Python json.loads Python truncate float with 19 chars I'm testing a simple validation program with some fields in float, but I have found a strange issue with these values. If chars are 18 python represents them as normal, at ...	[ 0.01141357421875, 0.00970458984375, -0.028564453125, -0.01904296875, 0.003204345703125, -0.007659912109375, -0.002655029296875, -0.00013828277587890625, 0.0079345703125, 0.000751495361328125, -0.0186767578125, -0.0006561279296875, -0.0140380859375, 0.007537841796875, 0.005767822265625, ...	[ 145581, 14617, 19, 33478, 21917, 257, 678, 953, 21441, 26518, 38496, 17198, 50828, 1647, 1681, 5, 63033, 134234, 8781, 44622, 1363, 1528, 44457, 14037, 114453, 31089, 6097, 142424, 4263, 621, 543, 33636, 3638, 99, 199083, 111, 38310, 748, 8...	[ 0.258544921875, 0.197998046875, 0.1551513671875, 0.1849365234375, 0.221923828125, 0.1070556640625, 0.06329345703125, 0.247314453125, 0.2208251953125, 0.013092041015625, 0.110595703125, 0.12158203125, 0.1815185546875, 0.1202392578125, 0.2083740234375, 0.0218505859375, 0.223388671875, ...	embed
29882567_c0	29882567	python	0	Title: How can i make a set in my list in python? Problem title: How can i make a set in my list in python? Tags: set, list, python Problem: How can i make a set in my list in python? Code signals: How	How can i make a set in my list in python? How can i make a set in my list in python? set list python How How can i make a set in my list in python? I need to make this turn into this	[ -0.004669189453125, 0.004364013671875, 0.0181884765625, 0.005462646484375, 0.00185394287109375, -0.0125732421875, -0.010986328125, 0.0098876953125, 0.00156402587890625, -0.01361083984375, -0.01708984375, -0.01214599609375, 0.01806640625, 0.00592041015625, -0.0400390625, 0.0145874023437...	[ 11249, 831, 17, 3249, 10, 5423, 23, 759, 5303, 17198, 50828, 3871, 15504, 3934, 903 ]	[ 0.0677490234375, 0.09979248046875, 0.07818603515625, 0.158203125, 0.0928955078125, 0.278564453125, 0.104248046875, 0.084716796875, 0.239013671875, 0.1114501953125, 0.1695556640625, 0.03973388671875, 0.0823974609375, 0.0662841796875, 0.0859375 ]	embed
31349322_c0	31349322	python	0	Title: Transpose Pandas Panel to Columns Problem title: Transpose Pandas Panel to Columns Tags: python, pandas Problem: Transpose Pandas Panel to Columns Code signals: Transpose, Pandas, Panel, Columns	Transpose Pandas Panel to Columns Transpose Pandas Panel to Columns python pandas Transpose Pandas Panel Columns Transpose Pandas Panel to Columns Drawing a blank on this, it should be easy. I've got a panel like so: Looking to end up with a DataFrame like this: I can't figure out how to transform this data in a vector...	[ 0.002685546875, -0.01043701171875, -0.0208740234375, 0.0184326171875, 0.0032501220703125, -0.0269775390625, -0.0262451171875, -0.01190185546875, -0.007110595703125, 0.0115966796875, 0.0019683837890625, 0.0078125, 0.00555419921875, 0.0233154296875, -0.0062255859375, 0.01611328125, -0....	[ 11062, 78381, 89308, 7, 84291, 47, 233987, 17198, 50828, 2652, 1124, 18186, 14775, 44237, 98, 903, 5608, 23468, 16138, 1884, 221, 157268, 3564, 11809, 108386, 831, 26366, 3642, 27198, 2053, 173, 18770, 3917, 4358, 51484 ]	[ 0.1441650390625, 0.1331787109375, 0.1773681640625, 0.053253173828125, 0.2171630859375, 0.1026611328125, 0.2255859375, 0.045684814453125, 0.0830078125, 0.067138671875, 0.05767822265625, 0.087158203125, 0.005950927734375, 0.141845703125, 0.00213623046875, 0.0430908203125, 0.01962280273...	embed
15502558_c0	15502558	python	0	Title: day is out of range for month python Problem title: day is out of range for month python Tags: python, pandas Problem: day is out of range for month python Code signals: DateParseError, Out, NaN	day is out of range for month python day is out of range for month python python pandas DateParseError Out NaN day is out of range for month python 'reobsmaf' is a DataFrame as below: 'remodmaf' is another DataFrame as below: now I want to compare these two DataFrames, if which record's 'mean' value in reobsmaf equals ...	[ 0.0277099609375, -0.018798828125, 0.00096893310546875, 0.0301513671875, -0.007293701171875, 0.01104736328125, -0.004425048828125, 0.00958251953125, -0.006072998046875, 0.05419921875, -0.00836181640625, -0.0115966796875, 0.01324462890625, -0.009765625, 0.0203857421875, -0.00531005859375...	[ 5155, 83, 1810, 111, 37457, 100, 31150, 17198, 50828, 2652, 1124, 25512, 28636, 184, 18468, 13538, 353, 839, 107, 102492, 192, 420, 11809, 108386, 282, 13415, 69101, 6626, 17164, 66, 34292, 456, 105950, 4458, 49146, 71, 40101, 138804, 13152...	[ 0.194580078125, 0.09326171875, 0.19140625, 0.196533203125, 0.2489013671875, 0.1290283203125, 0.1998291015625, 0.08837890625, 0.16064453125, 0.0828857421875, 0.1082763671875, 0.0687255859375, 0.0826416015625, 0.01092529296875, 0.087646484375, 0.1505126953125, 0.1309814453125, 0.1815...	embed
15783991_c0	15783991	python	0	Title: Python: list in tuple Problem title: Python: list in tuple Tags: python-2.7, list, tuples, python Problem: Python: list in tuple Code signals: Python, postal_code, Allerkanal, grade2, python-2.7	Python: list in tuple Python: list in tuple python-2.7 list tuples python Python postal_code Allerkanal grade2 python-2.7 Python: list in tuple I have data from open street maps in the format: A single file contains 1000s of similar way ids. I want to store these way ids in a list/tuple, but the problem is that the con...	[ 0.0269775390625, 0.0181884765625, -0.00701904296875, 0.042236328125, 0.01434326171875, -0.004241943359375, -0.01104736328125, 0.01031494140625, 0.006561279296875, 0.00830078125, -0.000568389892578125, -0.004547119140625, -0.00726318359375, 0.034423828125, -0.035888671875, 0.01092529296...	[ 145581, 12, 5303, 23, 370, 8705, 17198, 50828, 5428, 966, 99726, 67808, 40899, 57204, 82450, 44000, 304, 87, 765, 2053, 1295, 9803, 48800, 22288, 9384, 11001, 11435, 70541, 4382, 21373, 3917, 3447, 3444, 4343, 6097, 10, 64, 458, 2967, 109...	[ 0.245361328125, 0.0277557373046875, 0.238037109375, 0.1456298828125, 0.1639404296875, 0.251953125, 0.1153564453125, 0.1593017578125, 0.0692138671875, 0.084716796875, 0.2392578125, 0.1500244140625, 0.1331787109375, 0.160888671875, 0.2220458984375, 0.160888671875, 0.04779052734375, 0...	embed
18859312_c0	18859312	python	0	Title: extra decimals in numpy array? Problem title: extra decimals in numpy array? Tags: python, numpy Problem: extra decimals in numpy array? Code signals: numpy, np.array, nb1, nb2, nb3, np.asscalar	extra decimals in numpy array? extra decimals in numpy array? python numpy numpy np.array nb1 nb2 nb3 np.asscalar extra decimals in numpy array? Let's say I have one list of floats and a numpy array that I wish to zip: Why am I getting all those decimals? Is there a way to make the numpy floats behave like python float...	[ 0.027099609375, 0.006683349609375, -0.01708984375, -0.0064697265625, 0.006011962890625, -0.0027618408203125, -0.00323486328125, 0.0089111328125, 0.0218505859375, 0.03515625, -0.018310546875, -0.00885009765625, 0.003692626953125, 0.0107421875, -0.008544921875, -0.009033203125, 0.00115...	[ 4173, 32380, 67553, 23, 13269, 6493, 10298, 53, 32, 17198, 50828, 25037, 19305, 275, 418, 304, 363, 162, 16275, 320, 1632, 5303, 21917, 9821, 136, 32599, 47, 68330, 44084, 444, 20949, 756, 8382, 3917, 3249, 68991, 1884, 74481, 5256, 19505...	[ 0.1917724609375, 0.195068359375, 0.2176513671875, 0.057830810546875, 0.1558837890625, 0.2208251953125, 0.1944580078125, 0.1416015625, 0.029266357421875, 0.09197998046875, 0.1534423828125, 0.10986328125, 0.1318359375, 0.050201416015625, 0.009918212890625, 0.035186767578125, 0.06903076...	embed
62443471_c0	62443471	python	0	Title: Determine the difference between time Problem title: Determine the difference between time Tags: python, pandas Problem: Determine the difference between time Code signals: Determine, Date, Time	Determine the difference between time Determine the difference between time python pandas Determine Date Time Determine the difference between time I have a dataframe that consists of date and time column like showed below, with the date format (MM/DD/YYYY); I want to generate another column that shows the difference b...	[ 0.0235595703125, 0.01483154296875, 0.00074005126953125, 0.03759765625, -0.007476806640625, -0.03466796875, -0.000598907470703125, 0.0164794921875, -0.003814697265625, 0.002166748046875, 0.01068115234375, -0.0120849609375, -0.00836181640625, 0.015869140625, -0.0196533203125, 0.01953125,...	[ 262, 30524, 13, 70, 60212, 17721, 1733, 17198, 50828, 2652, 1124, 25512, 19055, 87, 765, 2053, 160328, 58055, 111, 5622, 136, 3365, 316, 19, 1884, 168360, 35064, 9384, 25590, 64, 24057, 108354, 3444, 139392, 15700, 45831, 12638, 127887, 560...	[ 0.1004638671875, 0.19189453125, 0.1190185546875, 0.07666015625, 0.25244140625, 0.20458984375, 0.2332763671875, 0.109619140625, 0.16796875, 0.134521484375, 0.16552734375, 0.1639404296875, 0.218505859375, 0.01171875, 0.000396728515625, 0.07452392578125, 0.1832275390625, 0.04400634765...	embed
62579010_c0	62579010	python	0	Title: Mirror a numpy ndarray Problem title: Mirror a numpy ndarray Tags: array-broadcasting, arrays, python, numpy Problem: Mirror a numpy ndarray Code signals: Mirror, np.array, np.tril, np.triu, A.T	Mirror a numpy ndarray Mirror a numpy ndarray array-broadcasting arrays python numpy Mirror np.array np.tril np.triu A.T Mirror a numpy ndarray I have a numpy Ndarray of dimensions (N * N * M) and want to mirror it over the main diagonal efficiently. For N=1 I did the following: However this ( np.tril and np.triu ) doe...	[ 0.0218505859375, -0.00151824951171875, 0.0274658203125, 0.00072479248046875, 0.000469207763671875, -0.00909423828125, 0.00909423828125, 0.0115966796875, 0.0177001953125, 0.00872802734375, 0.0018768310546875, 0.0208740234375, 0.0087890625, 0.0196533203125, -0.016845703125, -0.0186767578...	[ 150481, 10, 13269, 6493, 17603, 7092, 10298, 53, 6369, 712, 55741, 17198, 50828, 25037, 19305, 15601, 3996, 34, 541, 1506, 158208, 839, 276, 3444, 47, 191551, 442, 645, 5201, 207997, 93766, 33000, 18, 4488, 77546, 25647, 54, 6056, 100, 40...	[ 0.329833984375, 0.05145263671875, 0.1263427734375, 0.16259765625, 0.1156005859375, 0.25537109375, 0.129638671875, 0.0235748291015625, 0.010528564453125, 0.003173828125, 0.0816650390625, 0.06341552734375, 0.1171875, 0.14599609375, 0.1363525390625, 0.173583984375, 0.1317138671875, 0....	embed
62601935_c0	62601935	python	0	Title: plotting the data from csv file in python Problem title: plotting the data from csv file in python Tags: plot, python, pandas Problem: plotting the data from csv file in python Code signals: csv	plotting the data from csv file in python plotting the data from csv file in python plot python pandas csv plotting the data from csv file in python	[ 0.01129150390625, 0.0247802734375, 0.006744384765625, -0.00543212890625, 0.0115966796875, 0.01214599609375, 0.00762939453125, -0.00186920166015625, -0.00604248046875, 0.02392578125, -0.00994873046875, -0.04931640625, -0.00665283203125, 0.01263427734375, -0.01043701171875, 0.01489257812...	[ 23577, 1916, 2053, 1295, 20763, 334, 11435, 23, 17198, 50828, 70, 2652, 1124 ]	[ 0.1593017578125, 0.064208984375, 0.115234375, 0.1051025390625, 0.11572265625, 0.221923828125, 0.138671875, 0.02813720703125, 0.09686279296875, 0.140869140625, 0.03167724609375, 0.0882568359375, 0.104736328125 ]	embed
62732375_c0	62732375	python	0	Title: Sort by Frequency with groupby Problem title: Sort by Frequency with groupby Tags: python, pandas Problem: Sort by Frequency with groupby Code signals: Sort, Frequency, Date, file.groupby, Users	Sort by Frequency with groupby Sort by Frequency with groupby python pandas Sort Frequency Date file.groupby Users Sort by Frequency with groupby I would need to sort by Frequency the following dataset: created by file.groupby(['Date']).count()['Users'] . How can I add a name to the Frequency (currently having no name)...	[ 0.03759765625, 0.000713348388671875, -0.0106201171875, 0.00171661376953125, -0.0296630859375, -0.005859375, 0.004669189453125, 0.009521484375, 0.00946044921875, -0.0028839111328125, -0.0142822265625, 0.02001953125, 0.004058837890625, 0.006378173828125, -0.018310546875, -0.0000557899475...	[ 53666, 390, 21612, 944, 27771, 678, 21115, 1272, 17198, 50828, 2652, 1124, 25512, 11435, 51588, 53400, 3871, 12096, 25632, 2053, 3509, 75935, 86291, 71013, 1062, 7, 1314, 15190, 9351, 163812, 19441, 110, 3365, 316 ]	[ 0.2205810546875, 0.140380859375, 0.20849609375, 0.1761474609375, 0.131591796875, 0.09674072265625, 0.1907958984375, 0.2412109375, 0.0823974609375, 0.143798828125, 0.1268310546875, 0.14697265625, 0.09686279296875, 0.13818359375, 0.180908203125, 0.2252197265625, 0.0301055908203125, 0...	embed
59456591_c0	59456591	python	0	Title: Delete zero rows from np.array Problem title: Delete zero rows from np.array Tags: python, arrays, image, numpy Problem: Delete zero rows from np.array Code signals: np.array, Delete, Image.open	Delete zero rows from np.array Delete zero rows from np.array python arrays image numpy np.array Delete Image.open Delete zero rows from np.array I need to load an image, convert it into a np.array and then delete all rows that contains all zeros. For load the image I use: The image is a B/W image where the black is 0 ...	[ -0.0030975341796875, 0.021728515625, -0.00982666015625, 0.02783203125, -0.006072998046875, -0.00823974609375, 0.052490234375, -0.005615234375, -0.00089263916015625, 0.031494140625, 0.01239013671875, 0.01214599609375, -0.007171630859375, 0.014892578125, 0.00060272216796875, -0.005004882...	[ 262, 46485, 45234, 15555, 7, 1295, 25037, 19305, 53, 17198, 50828, 10298, 4778, 29569, 13269, 6493, 22710, 59636, 3871, 72367, 96760, 3934, 5, 154109, 756, 70541, 4527, 335, 64, 1456, 22556, 757, 70, 35011, 615, 1884, 2046, 32354, 903, 71...	[ 0.10986328125, 0.18115234375, 0.2364501953125, 0.246826171875, 0.0699462890625, 0.09381103515625, 0.1883544921875, 0.171142578125, 0.06158447265625, 0.0325927734375, 0.09625244140625, 0.13427734375, 0.003387451171875, 0.14697265625, 0.1129150390625, 0.1536865234375, 0.176025390625, ...	embed
65554312_c0	65554312	python	0	Title: pandas - groupby multiple values? Problem title: pandas - groupby multiple values? Tags: pandas, python Problem: pandas - groupby multiple values? Code signals: user_id, call_date, calls.groupby	pandas - groupby multiple values? pandas - groupby multiple values? pandas python user_id call_date calls.groupby pandas - groupby multiple values? i have a dataframe that contains cell phone minutes usage logged by date of call and duration. It looks like this (30 row sample): I want to group by user_id AND call_date ...	[ 0.0174560546875, -0.01708984375, -0.00133514404296875, 0.013671875, -0.0123291015625, 0.009765625, 0.01385498046875, -0.01275634765625, 0.03564453125, -0.01397705078125, -0.0242919921875, 0.00811767578125, 0.0019378662109375, 0.0017852783203125, -0.00885009765625, -0.0135498046875, 0...	[ 2652, 1124, 20, 21115, 1272, 48716, 142424, 17198, 50828, 38937, 454, 532, 11782, 17489, 7, 51588, 2053, 160328, 70541, 38750, 24089, 14633, 127689, 73088, 5622, 30494, 33342, 38774, 15555, 121413, 3444, 47, 390, 48762, 20654, 69236, 74481, 1...	[ 0.1572265625, 0.185302734375, 0.01788330078125, 0.232666015625, 0.1700439453125, 0.229248046875, 0.2069091796875, 0.087890625, 0.14794921875, 0.16162109375, 0.01165771484375, 0.152099609375, 0.181640625, 0.1356201171875, 0.00640869140625, 0.1785888671875, 0.038909912109375, 0.15832...	embed
53777224_c4	53777224	python	4	lpVWR2dW9IWWJqeDZvRmI3VU9Pc1lpZXZGWGJxejQ1alNXbGVXUGJqaEpORU9LNFJITVh0N3IwR1E0bUE9PSIsIm1hYyI6IjUyODU3MWIxYjM3MGU3M2E0YjI1YzM2MzNmNDc5ZDMzZDdjYTg1ZWMxYWU2ODJjY2JlMTJmZWJlNmUyZDkyNWMifQ, MYEMAIL, MYPASS	lpVWR2dW9IWWJqeDZvRmI3VU9Pc1lpZXZGWGJxejQ1alNXbGVXUGJqaEpORU9LNFJITVh0N3IwR1E0bUE9PSIsIm1hYyI6IjUyODU3MWIxYjM3MGU3M2E0YjI1YzM2MzNmNDc5ZDMzZDdjYTg1ZWMxYWU2ODJjY2JlMTJmZWJlNmUyZDkyNWMifQ, MYEMAIL, MYPASS	[ 0.00421142578125, 0.007598876953125, -0.0289306640625, 0.0012969970703125, 0.0023193359375, 0.018310546875, -0.0284423828125, -0.01123046875, 0.0137939453125, 0.0162353515625, 0.0191650390625, 0.0203857421875, -0.004791259765625, -0.00994873046875, -0.0255126953125, 0.002838134765625, ...	[ 96, 254, 856, 115055, 304, 71, 1456, 1126, 568, 95162, 1375, 11567, 80633, 363, 51947, 238, 26775, 102550, 724, 1334, 2737, 289, 166989, 75166, 5498, 647, 17759, 73493, 33205, 5343, 127, 839, 434, 1052, 37066, 138823, 61637, 418, 1723, 53...	[ 0.096435546875, 0.07403564453125, 0.1187744140625, 0.1607666015625, 0.055755615234375, 0.0299072265625, 0.0445556640625, 0.086181640625, 0.024932861328125, 0.0875244140625, 0.0595703125, 0.056182861328125, 0.039337158203125, 0.050994873046875, 0.1103515625, 0.0275115966796875, 0.1046...	embed
5652278_c0	5652278	python	0	Title: How to check if a deque is empty Problem title: How to check if a deque is empty Tags: python Problem: How to check if a deque is empty Is try-catch the only method to do that? Code signals: How	How to check if a deque is empty How to check if a deque is empty python How How to check if a deque is empty Is try-catch the only method to do that?	[ 0.008544921875, 0.006011962890625, 0.0081787109375, 0.005401611328125, -0.007354736328125, 0.00185394287109375, 0.02294921875, -0.025146484375, -0.00023174285888671875, 0.005523681640625, 0.001007080078125, -0.000614166259765625, 0.00616455078125, 0.001312255859375, -0.0115966796875, 0...	[ 12765, 2174, 8, 944, 83, 201505, 11249, 47, 10, 17198, 50828, 9790, 4460, 206, 4734, 55300 ]	[ 0.1845703125, 0.117431640625, 0.21875, 0.2191162109375, 0.1119384765625, 0.2421875, 0.03924560546875, 0.052276611328125, 0.05694580078125, 0.05963134765625, 0.1395263671875, 0.1123046875, 0.100830078125, 0.06109619140625, 0.0254974365234375, 0.04840087890625 ]	embed
74074167_c2	74074167	python	2	0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] Thanks, EDMC. Code signals: functional, How, Python	0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] Thanks, EDMC. Code signals: functional, How, Python	[ 0.01513671875, 0.0167236328125, -0.0096435546875, 0.021240234375, 0.002227783203125, 0.01123046875, 0.0157470703125, 0.01190185546875, 0.003387451171875, 0.01312255859375, -0.0028533935546875, -0.035888671875, 0.0084228515625, 0.033447265625, -0.01129150390625, -0.00994873046875, 0.0...	[ 757, 4, 268, 22362, 44444, 32557, 5, 28864, 26073, 7, 12, 123309, 11249, 145581 ]	[ 0.2158203125, 0.068359375, 0.042633056640625, 0.09112548828125, 0.08624267578125, 0.17919921875, 0.00799560546875, 0.2091064453125, 0.2415771484375, 0.034149169921875, 0.0208892822265625, 0.22900390625, 0.19921875, 0.26318359375 ]	embed
21380395_c0	21380395	python	0	Title: Behavior of "+=" operator in python Problem title: Behavior of "+=" operator in python Tags: python Problem: Behavior of "+=" operator in python Code signals: Behavior, Output	Behavior of "+=" operator in python Behavior of "+=" operator in python python Behavior Output Behavior of "+=" operator in python Why does the output for following code differs in python, But if we replace B += [4] to B = B + [4] the output changes to: Please explain.	[ 0.0233154296875, 0.02099609375, 0.0230712890625, 0.0341796875, 0.0081787109375, 0.011474609375, -0.00579833984375, 0.005706787109375, -0.0002765655517578125, 0.01287841796875, 0.025146484375, -0.017333984375, 0.01373291015625, 0.0390625, 0.00179290771484375, -0.007049560546875, 0.001...	[ 873, 98409, 748, 41502, 1328, 1369, 1230, 39933, 23, 17198, 50828, 111, 13538, 7077, 22422, 44084, 14602, 140992, 25632, 18151, 129927, 7, 4966, 2174, 642, 91995, 335, 997, 59535, 47, 2203, 65572, 30607, 73342, 5 ]	[ 0.03179931640625, 0.1573486328125, 0.012969970703125, 0.0762939453125, 0.1923828125, 0.205078125, 0.0179443359375, 0.2274169921875, 0.082763671875, 0.12158203125, 0.195068359375, 0.041229248046875, 0.1182861328125, 0.06256103515625, 0.09356689453125, 0.05694580078125, 0.0178833007812...	embed
34720896_c0	34720896	python	0	Title: How to replace empty string in python Problem title: How to replace empty string in python Tags: csv, python, numpy Problem: How to replace empty string in python Code signals: How, Row, re.match	How to replace empty string in python How to replace empty string in python csv python numpy How Row re.match How to replace empty string in python I have a csv file and I read it into array, the original csv a 5-row, 8-column file with empty elements I read it into my code: So what I want to get is to replace all empt...	[ -0.0260009765625, -0.00714111328125, -0.000652313232421875, 0.034912109375, 0.0002613067626953125, -0.00604248046875, 0.0185546875, 0.00982666015625, 0.0030670166015625, 0.0693359375, -0.0107421875, -0.0120849609375, -0.01544189453125, 0.000514984130859375, 0.00897216796875, 0.00622558...	[ 11249, 47, 91995, 201505, 79315, 23, 17198, 50828, 20763, 334, 13269, 6493, 96190, 456, 5, 98753, 11435, 12301, 10298, 53, 8967, 15555, 15045, 8447, 316, 80854, 3934, 3444, 756, 5701, 14012, 68940, 678, 3789, 41872, 71, 62766, 959, 16750, ...	[ 0.040557861328125, 0.049285888671875, 0.1873779296875, 0.259521484375, 0.251708984375, 0.052642822265625, 0.11181640625, 0.1739501953125, 0.06585693359375, 0.1536865234375, 0.0595703125, 0.1239013671875, 0.1722412109375, 0.14453125, 0.0181427001953125, 0.2220458984375, 0.076110839843...	embed
17960099_c0	17960099	python	0	Title: How to build a multidimensional dictionary Problem title: How to build a multidimensional dictionary Tags: python, dictionary Problem: How to build a multidimensional dictionary Code signals: How	How to build a multidimensional dictionary How to build a multidimensional dictionary python dictionary How How to build a multidimensional dictionary	[ 0.01025390625, -0.000843048095703125, -0.027587890625, 0.01318359375, -0.00726318359375, 0.003936767578125, -0.004852294921875, -0.01348876953125, -0.00860595703125, -0.0257568359375, 0.0108642578125, -0.031494140625, 0.000728607177734375, 0.021240234375, -0.01220703125, 0.01123046875,...	[ 11249, 47, 45367, 6024, 157955, 45, 10763, 6635, 10, 17198, 50828 ]	[ 0.058685302734375, 0.07061767578125, 0.2060546875, 0.1488037109375, 0.232666015625, 0.1114501953125, 0.1875, 0.140380859375, 0.033447265625, 0.0823974609375, 0.1505126953125 ]	embed
19097791_c0	19097791	python	0	Title: Extracting each list of a lists Problem title: Extracting each list of a lists Tags: python, list Problem: Extracting each list of a lists Code signals: Extracting, list_sample, Z_level, XD1, XD2	Extracting each list of a lists Extracting each list of a lists python list Extracting list_sample Z_level XD1 XD2 Extracting each list of a lists I have the following list of lists: I'd like to extract each list and attribute it to another list such as: Is there a way to make this more efficiently? Thanks	[ 0.01031494140625, -0.0009765625, -0.0191650390625, 0.02978515625, -0.0022430419921875, 0.0264892578125, 0.001953125, 0.0147705078125, 0.0283203125, 0.031982421875, 0.005218505859375, -0.037841796875, 0.0146484375, 0.0037384033203125, -0.0322265625, 0.0177001953125, 0.0208740234375, ...	[ 31501, 238, 1916, 12638, 5303, 111, 7, 17198, 50828, 433, 33209, 567, 67919, 107097, 418, 304, 10, 70, 25632, 71, 1884, 47, 125663, 150380, 15700, 3917, 1286, 93766 ]	[ 0.185302734375, 0.0941162109375, 0.046417236328125, 0.1397705078125, 0.2227783203125, 0.0635986328125, 0.06451416015625, 0.0751953125, 0.12548828125, 0.096435546875, 0.1375732421875, 0.1102294921875, 0.1676025390625, 0.1041259765625, 0.0172271728515625, 0.056610107421875, 0.001647949...	embed
60635153_c0	60635153	python	0	Title: How to get total based on date range Problem title: How to get total based on date range Tags: pandas, python Problem: How to get total based on date range Code signals: How, Part, Date, Quantity	How to get total based on date range How to get total based on date range pandas python How Part Date Quantity How to get total based on date range I have two data frame Logic : Add Quantity from 02.01.2020 to next 3 days I am new to python pandas. Pls guide	[ 0.0020294189453125, 0.0081787109375, -0.0252685546875, 0.0242919921875, -0.01202392578125, -0.007110595703125, 0.0036773681640625, 0.0390625, 0.01141357421875, 0.01263427734375, -0.0045166015625, 0.01287841796875, -0.0019989013671875, 0.0011444091796875, 0.00848388671875, -0.0032348632...	[ 11249, 47, 2046, 3622, 35509, 98, 5622, 37457, 2652, 1124, 17198, 50828, 16995, 25512, 75344, 2481, 6626, 2053, 123789, 50592, 29117, 4648, 18065, 49409, 11737, 138, 13312, 3525, 29016, 17997 ]	[ 0.0838623046875, 0.102783203125, 0.1265869140625, 0.2354736328125, 0.1707763671875, 0.1387939453125, 0.1666259765625, 0.2308349609375, 0.0875244140625, 0.1156005859375, 0.07513427734375, 0.1368408203125, 0.1419677734375, 0.161376953125, 0.126708984375, 0.10040283203125, 0.04757690429...	embed
61838300_c0	61838300	python	0	Title: Function to return table of a number Problem title: Function to return table of a number Tags: python Problem: Function to return table of a number Code signals: table_of, Enter, Number, Number:2	Function to return table of a number Function to return table of a number python table_of Enter Number Number:2 Function to return table of a number I have tried below code to return a multiplication table for input number: This returns: What is the problem?	[ 0.00537109375, -0.01507568359375, -0.0123291015625, 0.0150146484375, -0.01373291015625, 0.029296875, 0.00933837890625, 0.001983642578125, 0.015869140625, -0.01348876953125, -0.017822265625, -0.00494384765625, -0.0247802734375, 0.041259765625, -0.0059814453125, 0.0208740234375, 0.0063...	[ 28670, 10763, 47, 30646, 23180, 111, 10, 14012, 17198, 50828, 4390, 60816, 103332, 304, 37842, 35064, 18151, 127664, 1363, 100, 107730, 3293, 4865, 2967 ]	[ 0.146240234375, 0.056365966796875, 0.100341796875, 0.2388916015625, 0.279296875, 0.1827392578125, 0.068359375, 0.1729736328125, 0.087158203125, 0.137451171875, 0.217041015625, 0.1470947265625, 0.120361328125, 0.0947265625, 0.0750732421875, 0.08544921875, 0.0792236328125, 0.14501953...	embed
58976942_c5	58976942	python	5	AG, FREQ, HARMON, RE11, RE12, RE13, RE14, RE15, RE16, RE21, RE22, RE23, RE24, RE25, RE26, RE31, RE32, RE33, RE34, RE35, RE36, RE41, RE42, RE43, RE44, RE45, RE46, RE51, RE52, RE53, RE54, RE55, RE56, RE61	AG, FREQ, HARMON, RE11, RE12, RE13, RE14, RE15, RE16, RE21, RE22, RE23, RE24, RE25, RE26, RE31, RE32, RE33, RE34, RE35, RE36, RE41, RE42, RE43, RE44, RE45, RE46, RE51, RE52, RE53, RE54, RE55, RE56, RE61	[ -0.0235595703125, -0.0103759765625, -0.020263671875, 0.007293701171875, 0.02001953125, -0.017578125, -0.00138092041015625, -0.0087890625, 0.032470703125, 0.042236328125, 0.000579833984375, -0.018310546875, 0.022216796875, -0.0162353515625, -0.0038604736328125, 0.004638671875, 0.01367...	[ 24639, 4, 162821, 2737, 65641, 82707, 9069, 1662, 1530, 2681, 2592, 1837, 2485, 3117, 4015, 3742, 2357, 2588, 4046, 5016, 6460, 9185, 10289, 5843, 8659, 8894, 13023, 11548, 12465, 4633, 9271, 11703, 12744, 14226, 12338, 11663, 13683, 11540 ]	[ 0.2362060546875, 0.1124267578125, 0.2060546875, 0.2230224609375, 0.1727294921875, 0.240966796875, 0.199462890625, 0.203857421875, 0.1629638671875, 0.1697998046875, 0.1778564453125, 0.164306640625, 0.1712646484375, 0.1444091796875, 0.13427734375, 0.156005859375, 0.15478515625, 0.163...	embed
68399812_c0	68399812	python	0	Title: Convert GeoSeries to list of tuples Problem title: Convert GeoSeries to list of tuples Tags: python, geopandas Problem: Convert GeoSeries to list of tuples Code signals: Convert, GeoSeries, POINT	Convert GeoSeries to list of tuples Convert GeoSeries to list of tuples python geopandas Convert GeoSeries POINT Convert GeoSeries to list of tuples I have a GeoSeries as below. I would like to convert this into list of points, for example: How can I accomplish this in python? I am not sure how to get the POINT column ...	[ 0.0140380859375, -0.00616455078125, -0.00946044921875, 0.00089263916015625, -0.0208740234375, -0.0086669921875, 0.00994873046875, 0.0189208984375, 0.00970458984375, 0.0211181640625, 0.0184326171875, -0.00408935546875, -0.00714111328125, -0.0126953125, -0.01171875, 0.01495361328125, 0...	[ 1657, 11549, 30152, 138724, 7, 47, 5303, 111, 370, 99726, 17198, 50828, 20787, 85407, 8574, 59537, 87, 765, 237, 35064, 2806, 1884, 96760, 3934, 26847, 27781, 11249, 831, 163846, 903, 23, 9077, 3642, 2046, 70, 3365, 316, 5062, 75, 334, ...	[ 0.07373046875, 0.147705078125, 0.2100830078125, 0.26611328125, 0.14697265625, 0.0797119140625, 0.1939697265625, 0.10888671875, 0.171875, 0.26171875, 0.1129150390625, 0.1834716796875, 0.1322021484375, 0.179443359375, 0.17138671875, 0.17578125, 0.0089111328125, 0.00823974609375, 0....	embed
69350032_c0	69350032	python	0	Title: How to convert time string into hourly data? Problem title: How to convert time string into hourly data? Tags: python, date Problem: How to convert time string into hourly data? Code signals: How	How to convert time string into hourly data? How to convert time string into hourly data? python date How How to convert time string into hourly data? I have a pandas dataframe of energy demand vs. time: I need to convert the time column into hourly data. I know that Python has some tools that can convert dates directl...	[ 0.01043701171875, -0.01300048828125, -0.006622314453125, -0.00885009765625, -0.001953125, -0.0213623046875, 0.000858306884765625, 0.00738525390625, -0.00186920166015625, -0.01080322265625, -0.01336669921875, -0.013916015625, 0.003692626953125, 0.004547119140625, -0.0233154296875, -0.01...	[ 11249, 47, 96760, 1733, 79315, 3934, 56816, 538, 2053, 17198, 50828, 5622, 2652, 1124, 160328, 48302, 35968, 20209, 87, 3871, 3365, 316, 145581, 72977, 831, 112474, 105237, 4527, 3688, 23009 ]	[ 0.076416015625, 0.07330322265625, 0.1553955078125, 0.206298828125, 0.2451171875, 0.086181640625, 0.2130126953125, 0.166748046875, 0.18115234375, 0.0809326171875, 0.131103515625, 0.1326904296875, 0.0594482421875, 0.1029052734375, 0.1380615234375, 0.10791015625, 0.155517578125, 0.066...	embed
20478626_c0	20478626	python	0	Title: How to loop in the opposite order? Problem title: How to loop in the opposite order? Tags: python-3.x, python Problem: How to loop in the opposite order? Code signals: math, How, log10, python-3.x	How to loop in the opposite order? How to loop in the opposite order? python-3.x python math How log10 python-3.x How to loop in the opposite order? I am a beginner programmer. Here is my code: Its output is: I want it to be:	[ 0.0135498046875, 0.01904296875, -0.0234375, 0.015380859375, 0.01141357421875, 0.00823974609375, 0.018798828125, 0.01031494140625, 0.01251220703125, -0.0166015625, 0.0096435546875, -0.006927490234375, -0.0022735595703125, 0.005218505859375, 0.006591796875, -0.02294921875, -0.013183593...	[ 11249, 47, 40956, 23, 70, 198274, 12989, 17198, 50828, 8316, 425, 48909, 12684, 963, 1679, 77848, 18151, 140992, 83, 87, 3444, 186 ]	[ 0.1005859375, 0.09521484375, 0.227294921875, 0.12939453125, 0.047149658203125, 0.2376708984375, 0.1981201171875, 0.0660400390625, 0.1336669921875, 0.121826171875, 0.08551025390625, 0.090576171875, 0.1268310546875, 0.164794921875, 0.0282135009765625, 0.0875244140625, 0.07666015625, ...	embed
24392855_c0	24392855	python	0	Title: Python similar uniq -c command? Problem title: Python similar uniq -c command? Tags: linux, python, sorting, uniq Problem: Python similar uniq -c command? Code signals: Python, file.txt, os.system	Python similar uniq -c command? Python similar uniq -c command? linux python sorting uniq Python file.txt os.system Python similar uniq -c command? Does python have a command similar to the linux command: Where it sorts and calculates the frequency of a text file with integers on every new line, and will output in the ...	[ 0.00836181640625, 0.0108642578125, -0.000762939453125, -0.0106201171875, 0.00531005859375, -0.0091552734375, 0.0157470703125, -0.0108642578125, 0.0245361328125, -0.0247802734375, -0.04638671875, 0.04052734375, 0.0186767578125, 0.0145263671875, -0.0294189453125, -0.01513671875, -0.015...	[ 145581, 21373, 51, 24496, 20, 238, 75101, 11508, 6077, 17198, 50828, 12096, 214, 11435, 124326, 362, 16751, 765, 47, 74481, 12478, 944, 27771, 7986, 678, 892, 26255, 11907, 3525, 13315, 140992, 3173, 4460, 19 ]	[ 0.270263671875, 0.1580810546875, 0.0784912109375, 0.1951904296875, 0.0264434814453125, 0.1180419921875, 0.2333984375, 0.0914306640625, 0.08465576171875, 0.13720703125, 0.1737060546875, 0.2088623046875, 0.007720947265625, 0.1236572265625, 0.1827392578125, 0.050537109375, 0.10913085937...	embed
29553655_c0	29553655	python	0	Title: while loop not generating output Problem title: while loop not generating output Tags: python-3.x, python, while-loop Problem: while loop not generating output Code signals: a.endswith, python-3.x	while loop not generating output while loop not generating output python-3.x python while-loop a.endswith python-3.x while loop not generating output what is the problem with the following code: expected output:	[ 0.0247802734375, 0.0137939453125, -0.01397705078125, 0.0301513671875, -0.0140380859375, 0.0137939453125, 0.00579833984375, 0.007659912109375, 0.0028076171875, 0.024169921875, -0.000759124755859375, 0.01177978515625, -0.002471923828125, 0.03271484375, -0.011962890625, -0.01544189453125,...	[ 12960, 40956, 959, 12663, 1916, 140992, 17198, 50828, 8316, 425, 28354, 10, 3611, 76228, 2967, 25632, 18151, 84751 ]	[ 0.21337890625, 0.2142333984375, 0.131591796875, 0.196044921875, 0.07965087890625, 0.24609375, 0.0479736328125, 0.1280517578125, 0.08465576171875, 0.0975341796875, 0.1749267578125, 0.089111328125, 0.1168212890625, 0.1551513671875, 0.128173828125, 0.040283203125, 0.10382080078125, 0....	embed
32323972_c0	32323972	python	0	Title: How to extract data from this file? Problem title: How to extract data from this file? Tags: python, regex Problem: How to extract data from this file? Code signals: this, How, Block, a64ca2e58cc1	How to extract data from this file? How to extract data from this file? python regex this How Block a64ca2e58cc1 How to extract data from this file? I have a text file that contains the following: And I want to write a python program to extract keys and return them as follow: Which is equal with: How can I do that? I m...	[ 0.023681640625, 0.01470947265625, 0.0002765655517578125, 0.024658203125, 0.005279541015625, 0.0098876953125, 0.01806640625, 0.0244140625, 0.01483154296875, -0.0150146484375, -0.00616455078125, -0.005035400390625, -0.0174560546875, -0.00665283203125, -0.002716064453125, 0.005859375, 0...	[ 11249, 47, 125663, 2053, 1295, 903, 11435, 17198, 50828, 6835, 3355, 80231, 10, 13307, 408, 10057, 10060, 7986, 70541, 25632, 3444, 33022, 1528, 22799, 30646, 28960, 105950, 831, 54, 96391, 103510, 4527 ]	[ 0.120849609375, 0.1361083984375, 0.2403564453125, 0.1689453125, 0.15966796875, 0.130859375, 0.1983642578125, 0.057952880859375, 0.12451171875, 0.149658203125, 0.2017822265625, 0.208251953125, 0.0223236083984375, 0.14013671875, 0.0216827392578125, 0.109375, 0.01080322265625, 0.14245...	embed
34010857_c0	34010857	python	0	Title: Sort list containing both lists and scalars Problem title: Sort list containing both lists and scalars Tags: sorting, python Problem: Sort list containing both lists and scalars Code signals: Sort	Sort list containing both lists and scalars Sort list containing both lists and scalars sorting python Sort Sort list containing both lists and scalars I have a list of lists and scalars like this: which I need to sort by descending order of the first argument of the first list, like this: This doesn't work: sorted(a,k...	[ 0.01519775390625, 0.01055908203125, -0.00019073486328125, -0.017822265625, -0.020751953125, -0.00445556640625, -0.0052490234375, -0.0167236328125, 0.01446533203125, 0.017333984375, -0.0057373046875, -0.017578125, 0.003997802734375, 0.000347137451171875, -0.010986328125, -0.007659912109...	[ 53666, 5303, 70541, 15044, 136, 146232, 4295, 12096, 214, 17198, 50828, 3871, 47, 390, 60887, 12989, 5117, 10750, 18, 4488, 17497, 71, 11, 19770, 6492, 85, 1022, 2389, 27798, 3917, 163846 ]	[ 0.19287109375, 0.218505859375, 0.077880859375, 0.051788330078125, 0.051361083984375, 0.1982421875, 0.15283203125, 0.211669921875, 0.027099609375, 0.0667724609375, 0.1387939453125, 0.0450439453125, 0.005279541015625, 0.0025634765625, 0.147705078125, 0.1103515625, 0.04803466796875, 0...	embed
37306808_c0	37306808	python	0	Title: Optimizing writing equations for odeint Problem title: Optimizing writing equations for odeint Tags: scipy, python, odeint Problem: Optimizing writing equations for odeint Code signals: Optimizing	Optimizing writing equations for odeint Optimizing writing equations for odeint scipy python odeint Optimizing Optimizing writing equations for odeint I wrote the following code for a simple chemical network to be solved by odeint : As I'm expanding the size of the network, the number of equations and the length of eac...	[ 0.0145263671875, 0.016845703125, -0.01129150390625, -0.006591796875, 0.00010442733764648438, -0.00897216796875, -0.005523681640625, -0.002593994140625, -0.0015411376953125, 0.0203857421875, -0.0086669921875, 0.0003108978271484375, 0.01214599609375, -0.00048828125, 0.002716064453125, 0....	[ 43938, 84382, 32562, 28, 13722, 5256, 100, 67861, 4288, 13047, 6493, 17198, 50828, 54397, 25632, 18151, 8781, 165045, 33120, 86869, 390, 1301, 71062, 13267, 14012, 140909, 12638, 5490, 51312, 237, 3060, 114149, 5941, 7722, 132539, 2806, 1884, ...	[ 0.1966552734375, 0.0848388671875, 0.2008056640625, 0.0880126953125, 0.2362060546875, 0.05224609375, 0.0963134765625, 0.179443359375, 0.2568359375, 0.0972900390625, 0.1483154296875, 0.100830078125, 0.13671875, 0.0609130859375, 0.067138671875, 0.135986328125, 0.1044921875, 0.16284179...	embed
37780123_c0	37780123	python	0	Title: How to get similarity from LSA Problem title: How to get similarity from LSA Tags: python, sentence-similarity, similarity, lsa Problem: How to get similarity from LSA Code signals: LSA, How, Here	How to get similarity from LSA How to get similarity from LSA python sentence-similarity similarity lsa LSA How Here How to get similarity from LSA I am working on latent semantic analysis, i am trying to get similarity from 2 documents. I run my code of latent semantic analysis on Python and when i run it i get : How ...	[ -0.01519775390625, 0.020263671875, -0.0235595703125, 0.01092529296875, -0.0067138671875, -0.008544921875, 0.0035858154296875, 0.0091552734375, -0.006927490234375, -0.04052734375, 0.0093994140625, 0.0244140625, -0.0033416748046875, -0.01214599609375, -0.006591796875, -0.0012435913085937...	[ 11249, 47, 2046, 21373, 2481, 1295, 339, 6703, 17198, 50828, 149357, 62318, 320, 20845, 11853, 19161, 18, 484, 114137, 116, 60525, 18151, 109109, 145581, 11675, 7413, 903, 101935 ]	[ 0.0631103515625, 0.042755126953125, 0.111328125, 0.195068359375, 0.1435546875, 0.1441650390625, 0.1182861328125, 0.1995849609375, 0.0848388671875, 0.127197265625, 0.15673828125, 0.13916015625, 0.0943603515625, 0.16259765625, 0.0484619140625, 0.1077880859375, 0.022796630859375, 0.07...	embed
40190847_c0	40190847	python	0	Title: How do I remove all numbers? Problem title: How do I remove all numbers? Tags: python Problem: How do I remove all numbers? Code signals: How, SMITH, JOHNSON, WILLIAMS, JONES, BROWN, DAVIS, MILLER	How do I remove all numbers? How do I remove all numbers? python How SMITH JOHNSON WILLIAMS JONES BROWN DAVIS MILLER How do I remove all numbers? All numbers in this list need to be removed (the original is 88,779 lines long):	[ -0.00244140625, 0.017578125, -0.0322265625, 0.014892578125, 0.005157470703125, 0.005218505859375, 0.000041961669921875, 0.01953125, 0.01470947265625, 0.003143310546875, -0.009765625, -0.01806640625, -0.007110595703125, 0.016357421875, -0.00518798828125, 0.006195068359375, 0.006164550...	[ 11249, 54, 87, 87388, 756, 101935, 32, 17198, 50828, 95409, 841, 232105, 58627, 601, 13439, 21253, 36321, 84677, 108049, 84366, 70661, 20345, 3164, 23, 903, 5303, 3871, 47, 186, 184750, 2347, 7311, 83, 14073, 4, 104656, 124519, 4989, 2077 ]	[ 0.1307373046875, 0.095703125, 0.1339111328125, 0.271484375, 0.2171630859375, 0.26708984375, 0.026702880859375, 0.1158447265625, 0.1827392578125, 0.097900390625, 0.056549072265625, 0.0777587890625, 0.03955078125, 0.00030517578125, 0.032989501953125, 0.03570556640625, 0.020828247070312...	embed
4378786_c0	4378786	python	0	Title: Python exception in exception Problem title: Python exception in exception Tags: exception, python Problem: Python exception in exception Code signals: Python, self.loopingCall, self.log.exception	Python exception in exception Python exception in exception exception python Python self.loopingCall self.log.exception Python exception in exception How do you handle an exception thrown by an except clause in Python? If an exception happens in the logger, we're out. What are best practices to avoid that? Do you surro...	[ 0.04248046875, 0.04736328125, -0.0084228515625, 0.00286865234375, 0.031982421875, -0.004058837890625, 0.01397705078125, -0.0008087158203125, 0.008544921875, -0.0361328125, -0.005462646484375, 0.00162506103515625, -0.0172119140625, 0.00775146484375, 0.027587890625, -0.014892578125, -0...	[ 145581, 131527, 23, 17198, 50828, 15970, 28354, 214, 5584, 4867, 3355, 63928, 54, 398, 34831, 142, 104250, 19, 390, 40494, 70731, 13, 96276, 73088, 42, 642, 1810, 2965, 41361, 71864, 613, 67688, 9790, 19462, 46389, 165207, 434, 7844, 32354,...	[ 0.2391357421875, 0.255859375, 0.07568359375, 0.085693359375, 0.1212158203125, 0.096435546875, 0.1065673828125, 0.046234130859375, 0.097412109375, 0.120849609375, 0.100341796875, 0.1611328125, 0.0396728515625, 0.0159912109375, 0.147216796875, 0.03045654296875, 0.12841796875, 0.01762...	embed
50704363_c0	50704363	python	0	Title: Making a dictionary where key is a list Problem title: Making a dictionary where key is a list Tags: python Problem: Making a dictionary where key is a list Code signals: Making, my_dict, new_dict	Making a dictionary where key is a list Making a dictionary where key is a list python Making my_dict new_dict Making a dictionary where key is a list so given a list of dictionaries: and a list of keys in the dictionary for example [ 'a', 'b'] I am trying to make a list of dictionaries for both 'a' and 'b' for their r...	[ -0.004241943359375, 0.00138092041015625, -0.007171630859375, -0.022705078125, -0.00104522705078125, 0.015625, -0.004150390625, 0.01190185546875, 0.01422119140625, 0.0125732421875, 0.00433349609375, -0.0308837890625, 0.028076171875, 0.027587890625, -0.0279541015625, 0.000070571899414062...	[ 13676, 214, 45, 10763, 6635, 7440, 22799, 83, 10, 5303, 17198, 50828, 759, 61669, 3525, 221, 34475, 11, 10484, 275, 31577, 3249, 100, 15044, 136, 107013, 142424, 2704, 12996, 102337, 40099, 4358, 77947 ]	[ 0.09716796875, 0.0123291015625, 0.105224609375, 0.175537109375, 0.1473388671875, 0.0821533203125, 0.233642578125, 0.09112548828125, 0.056915283203125, 0.2061767578125, 0.067626953125, 0.126953125, 0.1290283203125, 0.19677734375, 0.1033935546875, 0.018341064453125, 0.001312255859375, ...	embed
65712349_c0	65712349	python	0	Title: Zero diagonal of a PyTorch tensor? Problem title: Zero diagonal of a PyTorch tensor? Tags: pytorch, diagonal, tensor, python Problem: Zero diagonal of a PyTorch tensor? Code signals: Zero, PyTorch	Zero diagonal of a PyTorch tensor? Zero diagonal of a PyTorch tensor? pytorch diagonal tensor python Zero PyTorch Zero diagonal of a PyTorch tensor? Is there a simple way to zero the diagonal of a PyTorch tensor? For example I have: And I want to get:	[ -0.00112152099609375, 0.0147705078125, -0.00177764892578125, 0.005889892578125, -0.00830078125, -0.00592041015625, 0.0038299560546875, 0.0135498046875, -0.0196533203125, 0.01397705078125, -0.01171875, -0.0130615234375, -0.0181884765625, 0.0157470703125, 0.00146484375, 0.006256103515625...	[ 83947, 207997, 111, 27512, 98722, 206, 1492, 4970, 32, 17198, 1290, 50828, 8781, 3917, 47, 45234, 70, 27781, 3444, 2046 ]	[ 0.1875, 0.2305908203125, 0.04229736328125, 0.1199951171875, 0.1805419921875, 0.137939453125, 0.13232421875, 0.1448974609375, 0.0142364501953125, 0.0523681640625, 0.1099853515625, 0.083984375, 0.059783935546875, 0.04315185546875, 0.038330078125, 0.2103271484375, 0.0107421875, 0.0047...	embed
74342527_c0	74342527	python	0	Title: Reshape a numpy array for a given time series Problem title: Reshape a numpy array for a given time series Tags: python Problem: Reshape a numpy array for a given time series Code signals: Reshape	Reshape a numpy array for a given time series Reshape a numpy array for a given time series python Reshape Reshape a numpy array for a given time series How do you arrange a numpy array of a time-series into a matrix with 24 hours on one side and number of days on the other side ? for example if I have a numpy array of...	[ 0.01904296875, 0.0247802734375, 0.000690460205078125, -0.0126953125, 0.00616455078125, -0.01806640625, -0.00360107421875, 0.025390625, 0.020751953125, 0.01104736328125, 0.005767822265625, -0.031982421875, 0.005523681640625, 0.0172119140625, -0.045166015625, 0.01275634765625, 0.023925...	[ 853, 2420, 1081, 13269, 6493, 10298, 53, 100, 34475, 1733, 36549, 17198, 50828, 11249, 54, 398, 137356, 32832, 3934, 50944, 425, 744, 21974, 5609, 13312, 3789, 52768, 142424, 72134, 138, 10979, 201, 17357, 151159, 86658, 1105, 5, 115700, 30...	[ 0.1422119140625, 0.254638671875, 0.1522216796875, 0.1209716796875, 0.182373046875, 0.1884765625, 0.136962890625, 0.045989990234375, 0.058746337890625, 0.131591796875, 0.187255859375, 0.0904541015625, 0.1474609375, 0.03460693359375, 0.02294921875, 0.00006103515625, 0.220458984375, 0...	embed
75645581_c5	75645581	python	5	0.01921212, 0.01907071, 0.01921212, 0.01907071, 0.01921212, 0.02062626, 0.02076768, 0.01878788, 0.01892929, 0.02034343, 0.02048485, 0.02006061, 0.02020202, 0.01793939, Code signals: a, Creating, np.array	0.01921212, 0.01907071, 0.01921212, 0.01907071, 0.01921212, 0.02062626, 0.02076768, 0.01878788, 0.01892929, 0.02034343, 0.02048485, 0.02006061, 0.02020202, 0.01793939, Code signals: a, Creating, np.array	[ 0.0174560546875, -0.005340576171875, -0.0152587890625, 0.017822265625, 0.014892578125, -0.005859375, 0.01397705078125, 0.0030670166015625, 0.032958984375, -0.0024261474609375, -0.01007080078125, -0.024169921875, 0.00836181640625, 0.000823974609375, -0.01202392578125, 0.00592041015625, ...	[ 182149, 12231, 1530, 4, 89678, 66951, 158367, 418, 6, 139652, 4046, 1549, 11835, 84453, 200439, 146406, 142180, 4235, 139911, 152697, 363, 9285, 114999, 22435, 9016, 49409, 143179, 156918, 9323, 28864, 26073, 7, 12, 10, 56781, 1916, 25037, 5,...	[ 0.2362060546875, 0.208984375, 0.1396484375, 0.095458984375, 0.1324462890625, 0.1123046875, 0.15478515625, 0.07373046875, 0.02142333984375, 0.1219482421875, 0.0885009765625, 0.0289459228515625, 0.04736328125, 0.091796875, 0.0849609375, 0.09063720703125, 0.0860595703125, 0.0678710937...	embed
76113780_c0	76113780	python	0	Title: What format is the RabbitMQ uptime? Problem title: What format is the RabbitMQ uptime? Tags: rabbitmq, python, time-format Problem: What format is the RabbitMQ uptime? Code signals: What, RabbitMQ	What format is the RabbitMQ uptime? What format is the RabbitMQ uptime? rabbitmq python time-format What RabbitMQ What format is the RabbitMQ uptime? I have a query which I am running: and I am getting back: What format is the field uptime in? How long is 69193749? Is that in milliseconds?	[ -0.013671875, 0.0289306640625, -0.001800537109375, 0.01214599609375, 0.0034332275390625, -0.003173828125, -0.0028228759765625, 0.0142822265625, -0.003814697265625, 0.0274658203125, 0.01446533203125, -0.00848388671875, 0.01019287109375, 0.01312255859375, -0.011474609375, 0.021240234375,...	[ 4865, 9384, 83, 70, 71916, 18, 594, 2737, 1257, 6032, 152131, 39, 864, 17198, 50828, 1733, 51727, 41, 1294, 51042, 4420, 44457, 23, 4989, 11937, 190891, 12977, 450, 8877, 191633 ]	[ 0.08001708984375, 0.235595703125, 0.06011962890625, 0.035736083984375, 0.1964111328125, 0.147216796875, 0.1510009765625, 0.2398681640625, 0.1453857421875, 0.2279052734375, 0.1663818359375, 0.1177978515625, 0.198486328125, 0.06072998046875, 0.1336669921875, 0.15185546875, 0.2172851562...	embed
26667277_c0	26667277	python	0	Title: Python - Raise Jenkins error Problem title: Python - Raise Jenkins error Tags: jenkins, python Problem: Python - Raise Jenkins error Code signals: Python, Raise, Jenkins, sys.exit, Error, Exception	Python - Raise Jenkins error Python - Raise Jenkins error jenkins python Python Raise Jenkins sys.exit Error Exception Python - Raise Jenkins error I have an script in Python and I need to raise an exception/error and stop the build with Jenkins if a problem occurs. I tried with everything: No matter what Jenkins keeps...	[ 0.00616455078125, 0.035400390625, -0.0068359375, -0.013671875, 0.00091552734375, -0.00634765625, -0.01031494140625, -0.0245361328125, -0.0096435546875, 0.0206298828125, 0.0128173828125, 0.0084228515625, -0.007537841796875, 0.009033203125, 0.0186767578125, 0.00335693359375, 0.00381469...	[ 145581, 9202, 13, 234339, 18499, 20, 7349, 875, 7, 17198, 50828, 954, 23399, 212059, 5443, 63928, 26499, 23, 3871, 138804, 131527, 64, 188800, 136, 7279, 45367, 678, 2174, 10, 2967, 74918, 37842, 26818, 438, 26866, 13695, 33976, 64457, 1036...	[ 0.277587890625, 0.234619140625, 0.139404296875, 0.31787109375, 0.2393798828125, 0.03411865234375, 0.10357666015625, 0.1907958984375, 0.033966064453125, 0.1063232421875, 0.10235595703125, 0.106689453125, 0.1636962890625, 0.1514892578125, 0.05853271484375, 0.126708984375, 0.1611328125,...	embed
30402005_c0	30402005	python	0	Title: Add specific amount to each column in pandas Problem title: Add specific amount to each column in pandas Tags: python, pandas Problem: Add specific amount to each column in pandas Code signals: Add	Add specific amount to each column in pandas Add specific amount to each column in pandas python pandas Add Add specific amount to each column in pandas I've got a DataFrame that looks like this: I've got a dictionary(or DataFrame) that looks like this: I want to reindex the DataFrame to the end of the month, like so: ...	[ 0.01171875, 0.01031494140625, -0.0181884765625, 0.01904296875, -0.0185546875, -0.00885009765625, 0.01336669921875, 0.007110595703125, 0.0035552978515625, 0.03515625, 0.007110595703125, -0.0179443359375, -0.0036773681640625, 0.028564453125, 0.00262451171875, 0.005767822265625, -0.0106...	[ 29117, 29458, 41170, 47, 12638, 3365, 316, 19, 23, 2652, 1124, 17198, 50828, 11809, 108386, 282, 33342, 1884, 903, 45, 10763, 6635, 3444, 456, 4711, 3564, 31150, 31577, 26366, 3917, 15190, 4382, 15555, 284, 1452, 202, 166, 58838, 237, 332...	[ 0.1488037109375, 0.2386474609375, 0.19482421875, 0.120361328125, 0.1473388671875, 0.166748046875, 0.17626953125, 0.1016845703125, 0.061859130859375, 0.1685791015625, 0.1815185546875, 0.05438232421875, 0.1124267578125, 0.068115234375, 0.1485595703125, 0.1112060546875, 0.0972900390625,...	embed
44375333_c0	44375333	python	0	Title: Largest product out of 4 in a grid Problem title: Largest product out of 4 in a grid Tags: python Problem: Largest product out of 4 in a grid Code signals: Largest, problem_11, largest_product_grid	Largest product out of 4 in a grid Largest product out of 4 in a grid python Largest problem_11 largest_product_grid Largest product out of 4 in a grid I'm doing some project euler problems to practice more. I am at problem 11 and I keep getting the wrong answer. Here is the list of lists: Here is the code: I'm pretty ...	[ -0.009033203125, 0.0247802734375, -0.00799560546875, 0.0047607421875, -0.0189208984375, -0.0087890625, -0.0145263671875, 0.007049560546875, 0.017578125, -0.0027618408203125, 0.01300048828125, 0.0157470703125, -0.01904296875, -0.0089111328125, -0.0115966796875, 0.0220947265625, -0.013...	[ 181268, 271, 12996, 1810, 201, 23, 120067, 10, 17198, 50828, 2967, 1662, 142105, 57877, 13452, 1175, 603, 44402, 41361, 99, 534, 13695, 44691, 35166, 5303, 18151, 28875, 9077, 442, 20594, 1286, 74481, 3501, 27117, 5701, 48909, 7730, 53333, ...	[ 0.1436767578125, 0.098388671875, 0.26904296875, 0.07275390625, 0.1671142578125, 0.0235595703125, 0.255859375, 0.007781982421875, 0.08990478515625, 0.166259765625, 0.21728515625, 0.16064453125, 0.1962890625, 0.259765625, 0.037933349609375, 0.10302734375, 0.144775390625, 0.0910034179...	embed
46238470_c0	46238470	python	0	Title: Python numpy linspace for small numbers Problem title: Python numpy linspace for small numbers Tags: numpy, python Problem: Python numpy linspace for small numbers Code signals: Python, np.linspace	Python numpy linspace for small numbers Python numpy linspace for small numbers numpy python Python np.linspace Python numpy linspace for small numbers So I have a little problem with linspace. I would like to generate an array of numbers like: [0.000001, 0.00001, 0.0001 , 0.001 ,0 .01 , 0.1] so I've tried following co...	[ 0.00057220458984375, -0.00927734375, -0.0101318359375, -0.005157470703125, -0.0140380859375, 0.0068359375, 0.034912109375, 0.004791259765625, 0.01336669921875, 0.0225830078125, -0.00017833709716796875, 0.00799560546875, 0.00091552734375, 0.01165771484375, 0.007781982421875, 0.007476806...	[ 145581, 13269, 6493, 11508, 65421, 100, 19336, 101935, 17198, 50828, 25037, 2397, 10176, 2967, 678, 2806, 1884, 139392, 10298, 53, 111, 37509, 188735, 89678, 34479, 4, 6746, 2389, 107754, 37842, 25632, 18151, 16750, 3501, 17569, 44116, 9384, ...	[ 0.250732421875, 0.162353515625, 0.1922607421875, 0.1796875, 0.263671875, 0.1060791015625, 0.203857421875, 0.184326171875, 0.120361328125, 0.131103515625, 0.16162109375, 0.152587890625, 0.06451416015625, 0.0792236328125, 0.0221405029296875, 0.00341796875, 0.07470703125, 0.1632080078...	embed
1141101_c0	1141101	python	0	Title: Read Block Data in Python? Problem title: Read Block Data in Python? Tags: python, file Problem: Read Block Data in Python? Code signals: Read, Block, Data, Python, ABC, Names, A-06, B-18, Starting	Read Block Data in Python? Read Block Data in Python? python file Read Block Data Python ABC Names A-06 B-18 Starting Read Block Data in Python? I have a problem reading data file: Code run in Python? I tried using readline() , readlines() functions but no result.	[ 0.0191650390625, 0.00799560546875, 0.006317138671875, 0.0081787109375, 0.0166015625, 0.0111083984375, 0.025146484375, -0.00628662109375, 0.013427734375, 0.0311279296875, -0.0020294189453125, -0.00946044921875, -0.00567626953125, -0.00897216796875, -0.00958251953125, -0.00567626953125, ...	[ 4764, 80231, 11809, 23, 145581, 32, 17198, 50828, 11435, 47457, 15757, 62, 104046, 335, 9444, 13794, 214, 87, 765, 2967, 16454, 2053, 28864, 11675, 37842, 17368, 12301, 2256, 132, 59801, 32354, 110, 16750, 5 ]	[ 0.2095947265625, 0.264404296875, 0.2060546875, 0.0897216796875, 0.294677734375, 0.0377197265625, 0.1077880859375, 0.159912109375, 0.14501953125, 0.1593017578125, 0.12939453125, 0.091796875, 0.1705322265625, 0.07080078125, 0.177490234375, 0.0682373046875, 0.00042724609375, 0.0025024...	embed
11691039_c0	11691039	python	0	Title: Error when installing pyodbc on opensuse Problem title: Error when installing pyodbc on opensuse Tags: opensuse, pyodbc, python Problem: Error when installing pyodbc on opensuse Code signals: Error	Error when installing pyodbc on opensuse Error when installing pyodbc on opensuse opensuse pyodbc python Error Error when installing pyodbc on opensuse	[ 0.029541015625, 0.0191650390625, -0.00445556640625, 0.0341796875, -0.0034332275390625, -0.0052490234375, -0.01226806640625, -0.0296630859375, -0.0225830078125, 0.025146484375, 0.002471923828125, -0.05419921875, 0.01324462890625, 0.004425048828125, -0.0106201171875, -0.01397705078125, ...	[ 212059, 3229, 20600, 17198, 2199, 65037, 98, 9803, 76167, 214, 50828 ]	[ 0.159912109375, 0.05804443359375, 0.1707763671875, 0.1514892578125, 0.1563720703125, 0.248291015625, 0.1287841796875, 0.126953125, 0.1951904296875, 0.039794921875, 0.1605224609375 ]	embed
17293041_c0	17293041	python	0	Title: Reading an infinite data stream Problem title: Reading an infinite data stream Tags: javascript, jquery, node.js, php, python Problem: Reading an infinite data stream Code signals: Reading, node.js	Reading an infinite data stream Reading an infinite data stream javascript jquery node.js php python Reading node.js Reading an infinite data stream I have a server that connects via tls and continuously outputs data in this format (when accessed through the terminal) I want to access this stream and push parts of this...	[ 0.01104736328125, 0.0101318359375, -0.00897216796875, -0.0198974609375, 0.0179443359375, -0.001708984375, 0.03173828125, 0.00023555755615234375, 0.01007080078125, -0.04931640625, 0.00897216796875, -0.03125, 0.00787353515625, 0.00933837890625, 0.00433349609375, -0.000009298324584960938,...	[ 104951, 54241, 13, 2053, 75973, 136951, 944, 110, 112, 28175, 3958, 50828, 10723, 37067, 75137, 7, 19686, 140992, 9384, 17203, 33949, 3444, 25944, 63920, 297, 429, 19732, 4028, 1295, 1369, 7673, 47, 31842, 4527, 17925, 831, 54, 26366, 3917 ...	[ 0.217041015625, 0.179443359375, 0.08251953125, 0.14306640625, 0.2386474609375, 0.1864013671875, 0.07830810546875, 0.0958251953125, 0.14013671875, 0.1494140625, 0.0557861328125, 0.070068359375, 0.100830078125, 0.090087890625, 0.1204833984375, 0.0706787109375, 0.049163818359375, 0.06...	embed
62536467_c0	62536467	python	0	Title: merge start and end each 2 lines python Problem title: merge start and end each 2 lines python Tags: python Problem: merge start and end each 2 lines python Code signals: contig1, contig2, file.bed	merge start and end each 2 lines python merge start and end each 2 lines python python contig1 contig2 file.bed merge start and end each 2 lines python I have a bed file like this: Am I'm trying to get this output: It's basic at each 2 lines, pick the firs column of line 1, the second column of line 1 and the third col...	[ 0.01153564453125, 0.0194091796875, -0.00537109375, 0.0027618408203125, -0.00823974609375, 0.0291748046875, -0.00092315673828125, 0.01177978515625, 0.0076904296875, 0.021240234375, -0.002532958984375, 0.0301513671875, 0.0167236328125, -0.00372314453125, 0.0184326171875, 0.00097274780273...	[ 42564, 4034, 136, 3564, 12638, 116, 124519, 17198, 50828, 158, 9348, 304, 11435, 13482, 11958, 1884, 31577, 2046, 140992, 62822, 99, 39580, 33671, 3365, 316, 13315, 106, 50960, 787, 12301, 11737, 10176, 18151, 30646 ]	[ 0.2578125, 0.14208984375, 0.0802001953125, 0.1689453125, 0.1435546875, 0.14892578125, 0.1622314453125, 0.044830322265625, 0.102783203125, 0.0274505615234375, 0.1268310546875, 0.0399169921875, 0.1485595703125, 0.1846923828125, 0.2071533203125, 0.0167083740234375, 0.007293701171875, ...	embed
65665567_c0	65665567	python	0	Title: pandas groupby and aggregator Problem title: pandas groupby and aggregator Tags: datetime, python, group-by, pandas Problem: pandas groupby and aggregator Code signals: df1, df.assign, x.index.hour	pandas groupby and aggregator pandas groupby and aggregator datetime python group-by pandas df1 df.assign x.index.hour pandas groupby and aggregator I have the following dataframe: then I group according to the hour in the index as follows: at this point, I would like to compute the mean of each group. I do as follow: ...	[ 0.01220703125, -0.005035400390625, -0.007598876953125, -0.005096435546875, -0.0047607421875, -0.0361328125, -0.00159454345703125, 0.0107421875, 0.007080078125, 0.003326416015625, -0.02685546875, 0.01104736328125, 0.0179443359375, -0.0125732421875, 0.00909423828125, -0.022705078125, -...	[ 2652, 1124, 21115, 1272, 136, 197564, 748, 5622, 6032, 17198, 50828, 420, 418, 162, 31304, 1022, 4711, 497, 474, 25632, 2053, 160328, 59499, 56816, 63262, 28960, 6275, 1884, 9969, 6743, 29459, 111, 12638, 37202, 959, 20697, 132283, 59826 ]	[ 0.1219482421875, 0.1392822265625, 0.24072265625, 0.19140625, 0.046539306640625, 0.1722412109375, 0.099365234375, 0.05816650390625, 0.142333984375, 0.0570068359375, 0.13134765625, 0.10650634765625, 0.0531005859375, 0.013824462890625, 0.157958984375, 0.0323486328125, 0.1220703125, 0....	embed
65715534_c0	65715534	python	0	Title: Convert Python list to dataframe Problem title: Convert Python list to dataframe Tags: python, dictionary, dataframe Problem: Convert Python list to dataframe Code signals: Convert, Python, Samsung	Convert Python list to dataframe Convert Python list to dataframe python dictionary dataframe Convert Python Samsung Convert Python list to dataframe I have a Python list like the following: I want to change like:	[ 0.019287109375, 0.01287841796875, -0.007232666015625, 0.0111083984375, 0.00162506103515625, -0.01336669921875, 0.004547119140625, 0.013916015625, -0.016357421875, 0.033935546875, -0.008544921875, -0.0296630859375, -0.0004673004150390625, 0.023681640625, -0.0247802734375, 0.003723144531...	[ 1657, 11549, 145581, 5303, 47, 2053, 160328, 17198, 50828, 45, 10763, 8744, 765, 1884, 70, 25632, 87, 3444, 15549 ]	[ 0.0782470703125, 0.16650390625, 0.285888671875, 0.260009765625, 0.1143798828125, 0.1544189453125, 0.28759765625, 0.1221923828125, 0.162353515625, 0.022247314453125, 0.10504150390625, 0.2113037109375, 0.06011962890625, 0.1141357421875, 0.010498046875, 0.0850830078125, 0.0028076171875,...	embed
72211947_c3	72211947	python	3	61.1631, 54.1344, 62.5758, 65.2308, 56.7024, 62.7527, 54.4386, 60.8065, 52.9211, 66.6071, 63.0445, 60.8769, 57.1242, 67.3688, 70.8355] } Code signals: How, LAeq, January, Februar, March, April, Mai, June	61.1631, 54.1344, 62.5758, 65.2308, 56.7024, 62.7527, 54.4386, 60.8065, 52.9211, 66.6071, 63.0445, 60.8769, 57.1242, 67.3688, 70.8355] } Code signals: How, LAeq, January, Februar, March, April, Mai, June	[ 0.0027008056640625, -0.007110595703125, 0.00089263916015625, 0.00982666015625, 0.011474609375, -0.01611328125, 0.0145263671875, 0.00714111328125, 0.002410888671875, 0.052734375, -0.00518798828125, -0.0242919921875, 0.0142822265625, -0.00537109375, 0.004150390625, 0.0089111328125, 0.0...	[ 11716, 5, 2485, 5016, 4, 190, 120518, 132993, 10031, 12243, 10057, 5684, 3742, 8318, 9103, 5757, 2357, 6873, 3768, 180874, 105742, 1496, 4836, 12424, 7221, 12231, 1662, 11251, 4598, 15770, 12069, 7709, 4633, 19308, 14212, 10149, 1530, 13023, ...	[ 0.251220703125, 0.137451171875, 0.2330322265625, 0.259033203125, 0.1417236328125, 0.1634521484375, 0.1602783203125, 0.2237548828125, 0.1934814453125, 0.16650390625, 0.151611328125, 0.183837890625, 0.093017578125, 0.1751708984375, 0.147705078125, 0.1092529296875, 0.1085205078125, 0....	embed
73527011_c0	73527011	python	0	Title: pandas average based on distinct times off the day Problem title: pandas average based on distinct times off the day Tags: pandas, python Problem: pandas average based on distinct times off the day	pandas average based on distinct times off the day pandas average based on distinct times off the day pandas python pandas average based on distinct times off the day I have some data where measurements are taken very 15 minutes during the day. There could be times where the measurements are not available but generally...	[ 0.012939453125, -0.0213623046875, 0.0118408203125, 0.0191650390625, -0.0098876953125, -0.044921875, -0.008544921875, 0.007293701171875, -0.00762939453125, -0.0264892578125, -0.004180908203125, 0.005157470703125, 0.017822265625, 0.0026702880859375, -0.0147705078125, 0.01361083984375, ...	[ 2652, 1124, 83080, 35509, 117781, 20028, 5773, 5155, 17198, 50828, 2053, 72350, 9035, 39958, 4552, 423, 14633, 20271, 959, 19882, 137567, 98154, 5608, 11907, 3509, 28960, 3444, 198343, 9969, 6743, 70, 29459, 136, 16757, 3956, 37769, 67842, 75...	[ 0.1573486328125, 0.1724853515625, 0.23876953125, 0.084716796875, 0.2022705078125, 0.180908203125, 0.208984375, 0.1510009765625, 0.0872802734375, 0.156494140625, 0.1494140625, 0.1929931640625, 0.05316162109375, 0.086181640625, 0.040985107421875, 0.112548828125, 0.1785888671875, 0.02...	embed
2084728_c1	2084728	python	1	87\u5b57\u6bcd\u3001\u6570\u5b57\u548c\u4e0b\u5212\u7ebf Code signals: What, u4e2a, u82f1, u6587, u5b57, u6bcd, u3001, u6570, u548c, u4e0b, u5212, u7ebf, xb8, xf6, xd3, xa2, xc4, xd7, xd6, xa1, xc2, gb2312	87\u5b57\u6bcd\u3001\u6570\u5b57\u548c\u4e0b\u5212\u7ebf Code signals: What, u4e2a, u82f1, u6587, u5b57, u6bcd, u3001, u6570, u548c, u4e0b, u5212, u7ebf, xb8, xf6, xd3, xa2, xc4, xd7, xd6, xa1, xc2, gb2312	[ 0.0213623046875, 0.0091552734375, 0.00836181640625, 0.0164794921875, -0.0101318359375, 0.0001316070556640625, 0.0036163330078125, 0.0028228759765625, 0.006439208984375, 0.0184326171875, -0.016357421875, -0.0478515625, 0.0233154296875, -0.004669189453125, -0.01141357421875, -0.018066406...	[ 18825, 41872, 12243, 34, 65037, 71, 7739, 418, 12424, 5757, 174859, 238, 12744, 1530, 150598, 28864, 26073, 7, 12, 4865, 4, 75, 617, 13, 304, 11, 12012, 420, 19308, 758, 275, 910, 1022, 1019, 363, 2459, 966, 6, 74251, 3742 ]	[ 0.28857421875, 0.011993408203125, 0.224853515625, 0.06719970703125, 0.125244140625, 0.1629638671875, 0.2198486328125, 0.110107421875, 0.1942138671875, 0.20263671875, 0.21630859375, 0.0706787109375, 0.1558837890625, 0.15869140625, 0.2188720703125, 0.30859375, 0.331787109375, 0.16174...	embed
21290342_c0	21290342	python	0	Title: Python Line Sorting - Problem title: Python Line Sorting - Tags: sorting, python Problem: Python Line Sorting - Code signals: Python, Line, Sorting, BOB, Steve, BBBB, i.split, pos1, pos2, pos3, pos4	Python Line Sorting - Python Line Sorting - sorting python Python Line Sorting BOB Steve BBBB i.split pos1 pos2 pos3 pos4 Python Line Sorting - I have the following: Is there away I can sort by (Bob,Larry,Steve) then by (1111,2222)? so... So I need to sort by pos3 and then by pos2. Desired output would be:	[ -0.01397705078125, -0.000377655029296875, -0.0155029296875, -0.00506591796875, -0.01220703125, -0.0003070831298828125, 0.0126953125, 0.0166015625, 0.0001697540283203125, 0.04345703125, -0.022216796875, 0.010986328125, 0.0115966796875, -0.0145263671875, -0.0247802734375, -0.001701354980...	[ 145581, 16777, 53666, 214, 12096, 17198, 50828, 14216, 571, 41550, 40746, 22312, 17, 7008, 4353, 3864, 418, 304, 363, 617, 87, 765, 25632, 2685, 16065, 831, 390, 3522, 2729, 56216, 68551, 272, 16, 7068, 159019, 4015, 89647, 3871, 47, 136,...	[ 0.253662109375, 0.2081298828125, 0.2301025390625, 0.11279296875, 0.263916015625, 0.11181640625, 0.16455078125, 0.1370849609375, 0.1531982421875, 0.236083984375, 0.1102294921875, 0.1943359375, 0.01416015625, 0.0130615234375, 0.1611328125, 0.1668701171875, 0.012237548828125, 0.080444...	embed
2520440_c0	2520440	python	0	Title: mongokit and django Problem title: mongokit and django Tags: python, django, mongodb Problem: mongokit and django I'm looking for good tutorial or really simple code to integrate mongokit and django	mongokit and django mongokit and django python django mongodb mongokit and django I'm looking for good tutorial or really simple code to integrate mongokit and django	[ 0.022705078125, 0.00811767578125, 0.00482177734375, -0.00872802734375, -0.008544921875, 0.010498046875, -0.0038299560546875, -0.025390625, -0.0152587890625, -0.07470703125, 0.000942230224609375, -0.00994873046875, 0.0012359619140625, 0.00177764892578125, 0.01275634765625, -0.0123901367...	[ 14896, 685, 217, 136, 107473, 27803, 17198, 50828, 2667, 7803, 275, 87, 16487, 4127, 57143, 707, 6183, 8781, 18151, 47, 78779, 13 ]	[ 0.1805419921875, 0.207763671875, 0.270263671875, 0.1629638671875, 0.142578125, 0.289306640625, 0.09197998046875, 0.147705078125, 0.1263427734375, 0.1173095703125, 0.150390625, 0.01361083984375, 0.0770263671875, 0.07244873046875, 0.1903076171875, 0.012451171875, 0.06884765625, 0.148...	embed
30246807_c0	30246807	python	0	Title: python plot horizontal line for a range of values Problem title: python plot horizontal line for a range of values Tags: matplotlib, python Problem: python plot horizontal line for a range of values	python plot horizontal line for a range of values python plot horizontal line for a range of values matplotlib python python plot horizontal line for a range of values I am really new to python and trying to plot speed as a constant value for the distince from its current startpointinmeters to the next startpointinmete...	[ -0.0009918212890625, 0.011962890625, 0.007659912109375, -0.01348876953125, -0.006561279296875, -0.006500244140625, -0.0047607421875, -0.002471923828125, -0.000316619873046875, 0.03564453125, -0.0074462890625, -0.006134033203125, 0.01312255859375, 0.0081787109375, 0.00057220458984375, -...	[ 17198, 50828, 23577, 124001, 13315, 100, 37457, 111, 142424, 2589, 105710, 5612, 6183, 3525, 47, 31577, 38352, 237, 53697, 34292, 70, 34973, 329, 43581, 4034, 38496, 29089, 11737, 221, 83, 1295, 3564, 86, 29062, 27781, 5608, 186, 702, 62488...	[ 0.122802734375, 0.150634765625, 0.2149658203125, 0.2490234375, 0.18505859375, 0.1055908203125, 0.187255859375, 0.06158447265625, 0.19384765625, 0.05877685546875, 0.13720703125, 0.148681640625, 0.0623779296875, 0.0804443359375, 0.032135009765625, 0.085693359375, 0.2230224609375, 0.0...	embed
36009990_c0	36009990	python	0	Title: Pandas unstack single columns Problem title: Pandas unstack single columns Tags: pandas, python Problem: Pandas unstack single columns Code signals: Pandas, periodo_dia, valor_medida, Score_recogida	Pandas unstack single columns Pandas unstack single columns pandas python Pandas periodo_dia valor_medida Score_recogida Pandas unstack single columns Any suggestion to unstack column=periodo_dia without dropping any column? Original dataframe looks like: Desired dataframe should be like:	[ -0.00015163421630859375, 0.006927490234375, -0.007659912109375, 0.03955078125, -0.00836181640625, -0.01104736328125, -0.0279541015625, -0.017333984375, -0.005096435546875, 0.0299072265625, -0.01422119140625, -0.005615234375, -0.0057373046875, 0.021728515625, -0.02001953125, 0.004150390...	[ 89308, 7, 51, 590, 2594, 11001, 3365, 316, 2652, 1124, 17198, 50828, 21318, 3390, 6053, 17885, 85, 168071, 587, 59009, 199015, 47, 19, 131692, 31, 15490, 36069, 10366, 34525, 2053, 160328, 33342, 1884, 56656, 2822, 5608 ]	[ 0.177734375, 0.017242431640625, 0.112060546875, 0.1778564453125, 0.16748046875, 0.1123046875, 0.1248779296875, 0.1533203125, 0.047882080078125, 0.04058837890625, 0.026763916015625, 0.1177978515625, 0.220703125, 0.2061767578125, 0.1246337890625, 0.096923828125, 0.054534912109375, 0....	embed
40278666_c2	40278666	python	2	280116020006537E1EA08F1, E280116020007527E1EA08F1, E280116020007517E1EA08F1, E280116020006507E1EA08F1, E280116020006357E1E608F1, E280116020007347E1E608F1, E280116020006337E1E608F1, E280116020007327E1E608F1	280116020006537E1EA08F1, E280116020007527E1EA08F1, E280116020007517E1EA08F1, E280116020006507E1EA08F1, E280116020006357E1E608F1, E280116020007347E1E608F1, E280116020006337E1E608F1, E280116020007327E1E608F1	[ 0.01177978515625, -0.024658203125, -0.0257568359375, 0.025634765625, 0.0167236328125, 0.0050048828125, -0.01495361328125, -0.006591796875, 0.0216064453125, 0.041015625, 0.01190185546875, -0.0218505859375, -0.003631591796875, -0.0205078125, -0.005462646484375, 0.0283203125, 0.00189208...	[ 49686, 120620, 113266, 159343, 179973, 647, 418, 24040, 8318, 919, 4, 241, 88628, 1662, 4598, 13821, 6873, 3768, 2489, 85399, 115021, 170285, 77110, 125450, 129176, 13574 ]	[ 0.2939453125, 0.2078857421875, 0.1688232421875, 0.142333984375, 0.2047119140625, 0.10498046875, 0.1290283203125, 0.136962890625, 0.1544189453125, 0.12255859375, 0.123046875, 0.179443359375, 0.28076171875, 0.12841796875, 0.150146484375, 0.13330078125, 0.08740234375, 0.1453857421875,...	embed
46241184_c0	46241184	python	0	Title: How to make a block of words a string in python Problem title: How to make a block of words a string in python Tags: python Problem: How to make a block of words a string in python Code signals: How	How to make a block of words a string in python How to make a block of words a string in python python How How to make a block of words a string in python I was trying to write code and I needed the following string as one integer. I wanted to know how to make it one string.	[ -0.005645751953125, -0.00616455078125, -0.0206298828125, 0.01263427734375, -0.0019683837890625, 0.011962890625, 0.01507568359375, 0.00396728515625, 0.00555419921875, -0.007110595703125, -0.01806640625, -0.0123291015625, 0.015625, -0.0030975341796875, -0.03759765625, 0.01708984375, -0...	[ 11249, 47, 3249, 10, 46389, 111, 34153, 79315, 23, 17198, 50828, 33022, 18151, 44841, 25632, 237, 1632, 892, 1505, 36663, 3714, 3642, 442 ]	[ 0.05987548828125, 0.04217529296875, 0.1141357421875, 0.13525390625, 0.21337890625, 0.118896484375, 0.2259521484375, 0.26513671875, 0.07818603515625, 0.10711669921875, 0.1773681640625, 0.00201416015625, 0.082275390625, 0.065185546875, 0.06805419921875, 0.033294677734375, 0.12390136718...	embed
47063196_c0	47063196	python	0	Title: Python: Combination with one criteria Problem title: Python: Combination with one criteria Tags: python, combinations Problem: Python: Combination with one criteria Code signals: Python, Combination	Python: Combination with one criteria Python: Combination with one criteria python combinations Python Combination Python: Combination with one criteria i need combination list like But i don't need 0 and 1 and the end of number, how i can do it? Thanks!	[ 0.004852294921875, 0.0238037109375, 0.0032196044921875, 0.0274658203125, 0.0084228515625, -0.009521484375, 0.0147705078125, 0.009765625, 0.01806640625, 0.0036468505859375, -0.025146484375, -0.02490234375, -0.00506591796875, 0.0174560546875, -0.020751953125, 0.00494384765625, -0.00411...	[ 145581, 12, 106935, 19, 2320, 678, 1632, 55738, 11, 17198, 50828, 162515, 17, 3871, 5303, 1884, 4966, 2301, 18, 757, 136, 106, 3564, 14012, 3642, 831, 54, 442, 22362 ]	[ 0.2578125, 0.03021240234375, 0.2227783203125, 0.1934814453125, 0.0836181640625, 0.1226806640625, 0.1884765625, 0.228515625, 0.134521484375, 0.0997314453125, 0.1341552734375, 0.2919921875, 0.020965576171875, 0.142578125, 0.2421875, 0.1107177734375, 0.00537109375, 0.07440185546875, ...	embed
48403244_c0	48403244	python	0	Title: closest points based on coordinates, python Problem title: closest points based on coordinates, python Tags: numpy, kdtree, scipy, python, pandas Problem: closest points based on coordinates, python	closest points based on coordinates, python closest points based on coordinates, python numpy kdtree scipy python pandas closest points based on coordinates, python I have a list of the station with x and y coordinates. I tried to find at least 4 closest points for each station. I had a look at this link but can not ab...	[ 0.033935546875, 0.006683349609375, -0.0017852783203125, -0.0201416015625, -0.0027923583984375, -0.04248046875, 0.0213623046875, 0.005889892578125, -0.0218505859375, 0.005218505859375, 0.003021240234375, -0.029296875, -0.0196533203125, -0.006866455078125, -0.003509521484375, -0.00067520...	[ 20903, 271, 26847, 35509, 98, 176866, 90, 17198, 50828, 13269, 6493, 472, 71, 62600, 13047, 2652, 1124, 5303, 29398, 1022, 136, 113, 37842, 7413, 99, 19713, 201, 100, 12638, 3126, 19048, 26366, 3642, 54, 450, 2053, 33342, 4358, 56623 ]	[ 0.2232666015625, 0.21728515625, 0.193603515625, 0.1241455078125, 0.056121826171875, 0.1981201171875, 0.10693359375, 0.099853515625, 0.14453125, 0.05322265625, 0.1029052734375, 0.011749267578125, 0.000823974609375, 0.17822265625, 0.045867919921875, 0.06982421875, 0.0904541015625, 0....	embed
51088012_c1	51088012	python	1	6-d4e0-4929-b309-8171bf61b508, d0576830-df96-4411-ac33-4bac597f2010, a650e642-ee41-4ab7-8ad1-797c7bdcd2aa, c0a36d2e-f7dd-4d62-abe8-c26249e52520, fd4bbf86-9803-4724-9576-d83355bdcff2, bdbb-55c14cd6b83a, _id	6-d4e0-4929-b309-8171bf61b508, d0576830-df96-4411-ac33-4bac597f2010, a650e642-ee41-4ab7-8ad1-797c7bdcd2aa, c0a36d2e-f7dd-4d62-abe8-c26249e52520, fd4bbf86-9803-4724-9576-d83355bdcff2, bdbb-55c14cd6b83a, _id	[ 0.00830078125, -0.01177978515625, -0.00054931640625, 0.0238037109375, -0.00469970703125, 0.015625, -0.0281982421875, 0.0028076171875, 0.01263427734375, -0.0017852783203125, 0.01470947265625, 0.01007080078125, -0.00811767578125, -0.0120849609375, 0.00775146484375, 0.0052490234375, -0....	[ 13007, 71, 617, 13, 2389, 9, 12977, 4235, 275, 1197, 1126, 17376, 123439, 150598, 11540, 2525, 1019, 4, 104, 8194, 84453, 420, 11648, 167819, 20268, 2263, 363, 130913, 49369, 191304, 11436, 10, 85399, 171701, 7039, 8894, 11565, 2055, 181216...	[ 0.2413330078125, 0.1322021484375, 0.1077880859375, 0.09619140625, 0.126220703125, 0.118896484375, 0.208251953125, 0.266357421875, 0.1258544921875, 0.150634765625, 0.1826171875, 0.10595703125, 0.1910400390625, 0.1177978515625, 0.1533203125, 0.15625, 0.2017822265625, 0.1246337890625,...	embed
52241935_c0	52241935	python	0	Title: Pytorch: join tensor and dictionary Problem title: Pytorch: join tensor and dictionary Tags: numpy, pandas, python, pytorch Problem: Pytorch: join tensor and dictionary Code signals: Pytorch, cuda:0	Pytorch: join tensor and dictionary Pytorch: join tensor and dictionary numpy pandas python pytorch Pytorch cuda:0 Pytorch: join tensor and dictionary Using Pytorch. Got the following tensor: Need to join it with the following dictionary: In order to get the following results: 'a','c','e'	[ 0.018310546875, -0.00848388671875, -0.032470703125, 0.019287109375, -0.004119873046875, -0.01361083984375, 0.000431060791015625, 0.00775146484375, -0.0157470703125, -0.028076171875, -0.0108642578125, -0.021484375, -0.0038909912109375, -0.002349853515625, -0.0203857421875, 0.02075195312...	[ 27512, 1290, 206, 12, 33284, 1492, 4970, 136, 45, 10763, 6635, 13269, 6493, 2652, 1124, 17198, 50828, 314, 85, 53861, 345, 6953, 53983, 70, 25632, 52889, 442, 678, 12989, 2046, 50339, 11, 238, 13 ]	[ 0.1214599609375, 0.18603515625, 0.2060546875, 0.010772705078125, 0.1903076171875, 0.1768798828125, 0.2081298828125, 0.0927734375, 0.0875244140625, 0.1531982421875, 0.009857177734375, 0.032257080078125, 0.1378173828125, 0.0299835205078125, 0.05975341796875, 0.06719970703125, 0.0866088...	embed
52453272_c0	52453272	python	0	Title: unique combinations values in a dictionary Problem title: unique combinations values in a dictionary Tags: python Problem: unique combinations values in a dictionary Code signals: a_1, a_2, b_1, b_2	unique combinations values in a dictionary unique combinations values in a dictionary python a_1 a_2 b_1 b_2 unique combinations values in a dictionary For the following example dictionary, is there a builtin method to get all unique combinations? output:	[ -0.006591796875, 0.0038909912109375, -0.00848388671875, -0.0235595703125, -0.01300048828125, 0.0023193359375, -0.00701904296875, 0.000762939453125, 0.01287841796875, 0.04736328125, -0.0238037109375, 0.01092529296875, 0.0380859375, -0.00104522705078125, -0.0159912109375, 0.009033203125,...	[ 36998, 162515, 7, 142424, 23, 45, 10763, 6635, 10, 17198, 50828, 115187, 304, 876, 25632, 27781, 83, 2685, 88303, 73, 55300, 47, 2046, 756, 140992 ]	[ 0.260498046875, 0.283203125, 0.142578125, 0.2115478515625, 0.061767578125, 0.09283447265625, 0.17138671875, 0.0877685546875, 0.041717529296875, 0.083251953125, 0.131591796875, 0.0794677734375, 0.063720703125, 0.0654296875, 0.0237884521484375, 0.130126953125, 0.009368896484375, 0.02...	embed
52459113_c0	52459113	python	0	Title: How does DataFrame produce this result? Problem title: How does DataFrame produce this result? Tags: pandas, python Problem: How does DataFrame produce this result? Code signals: How, DataFrame, Out	How does DataFrame produce this result? How does DataFrame produce this result? pandas python How DataFrame Out How does DataFrame produce this result? Step 1: display the first 10 rows: Step 2: list all rows that has a rank of 1 Step 3: Produce list of rows with rank=1 I don't understand step 3. Why does data[boolean]...	[ 0.03662109375, 0.0206298828125, -0.0157470703125, 0.01434326171875, -0.00787353515625, 0.00738525390625, 0.01287841796875, 0.00323486328125, -0.0152587890625, 0.0179443359375, 0.00139617919921875, -0.029296875, -0.01165771484375, 0.009033203125, -0.005889892578125, -0.00059127807617187...	[ 11249, 14602, 11809, 108386, 282, 27489, 903, 16750, 2652, 1124, 17198, 50828, 13538, 50478, 44116, 5117, 209, 15555, 5303, 756, 1556, 30648, 106, 22408, 103687, 678, 33000, 28219, 29954, 1031, 44084, 2053, 142484, 5073, 8561, 69112, 418 ]	[ 0.0994873046875, 0.092041015625, 0.1605224609375, 0.256103515625, 0.20556640625, 0.1912841796875, 0.0899658203125, 0.167236328125, 0.054046630859375, 0.080810546875, 0.0504150390625, 0.1370849609375, 0.2093505859375, 0.09503173828125, 0.1356201171875, 0.046630859375, 0.1102294921875,...	embed
15966743_c0	15966743	python	0	Title: Google Drive API ImportError Problem title: Google Drive API ImportError Tags: python, pyopenssl, google-drive-api Problem: Google Drive API ImportError Code signals: ImportError, Google, Drive, API	Google Drive API ImportError Google Drive API ImportError python pyopenssl google-drive-api ImportError Google Drive API Google Drive API ImportError	[ -0.0142822265625, 0.018310546875, -0.00494384765625, -0.0216064453125, -0.025390625, 0.00689697265625, 0.006591796875, -0.03759765625, -0.01373291015625, 0.0208740234375, 0.01806640625, -0.039306640625, 0.005218505859375, 0.005645751953125, 0.005401611328125, -0.0108642578125, -0.009...	[ 1815, 50161, 61687, 92966, 18468, 31611, 17198, 50828, 59636, 7, 24861, 26484, 88400, 40897 ]	[ 0.194091796875, 0.2822265625, 0.2509765625, 0.241943359375, 0.166748046875, 0.04425048828125, 0.106689453125, 0.1644287109375, 0.1480712890625, 0.0638427734375, 0.2479248046875, 0.1689453125, 0.2763671875, 0.21337890625 ]	embed
17337680_c0	17337680	python	0	Title: NumPy array indexing a 2D matrix Problem title: NumPy array indexing a 2D matrix Tags: numpy, python Problem: NumPy array indexing a 2D matrix Code signals: NumPy, np.zeros, np.array, np.random.rand	NumPy array indexing a 2D matrix NumPy array indexing a 2D matrix numpy python NumPy np.zeros np.array np.random.rand NumPy array indexing a 2D matrix I've a little issue while working on same big data. But for now, let's assume I've got an NumPy array filled with zeros Now I want to change some of these zeros with spe...	[ 0.00946044921875, 0.00970458984375, -0.00738525390625, 0.00555419921875, 0.0037384033203125, 0.01055908203125, 0.00390625, 0.007476806640625, 0.0137939453125, 0.015380859375, 0.0019683837890625, -0.0108642578125, -0.01336669921875, -0.004547119140625, -0.0079345703125, -0.0112915039062...	[ 52782, 683, 53, 10298, 63262, 214, 116, 397, 50944, 13269, 6493, 17198, 50828, 25037, 80510, 19305, 46258, 39, 37214, 425, 10176, 31089, 20697, 5701, 2053, 5036, 41591, 152382, 45234, 3444, 15549, 3060, 6097, 29458, 142424, 34475, 38750, 1048...	[ 0.16552734375, 0.1739501953125, 0.166748046875, 0.1802978515625, 0.2039794921875, 0.0482177734375, 0.0997314453125, 0.0770263671875, 0.142822265625, 0.125, 0.123046875, 0.051422119140625, 0.08740234375, 0.110107421875, 0.1746826171875, 0.146240234375, 0.1041259765625, 0.07379150390...	embed
60214757_c0	60214757	python	0	Title: Fahrenheit to Celsius in Python Problem title: Fahrenheit to Celsius in Python Tags: python, csv Problem: Fahrenheit to Celsius in Python Code signals: Fahrenheit, Celsius, Python, temp_f, convert_c	Fahrenheit to Celsius in Python Fahrenheit to Celsius in Python python csv Fahrenheit Celsius Python temp_f convert_c Fahrenheit to Celsius in Python I tried to transfer the dataset('weatherData.csv') from Fahrenheit to Celsius, but it failed. code: output: How to transfer these data to Celsius? Thanks.	[ 0.00665283203125, -0.0294189453125, 0.0020751953125, 0.007568359375, 0.0003643035888671875, -0.01202392578125, 0.00933837890625, 0.006256103515625, -0.0030975341796875, 0.0257568359375, -0.01141357421875, -0.0113525390625, -0.0184326171875, 0.0218505859375, -0.0086669921875, -0.0273437...	[ 52868, 33, 16587, 47, 166793, 23, 145581, 17198, 50828, 20763, 334, 20805, 420, 96760, 238, 37842, 12302, 2053, 3509, 1177, 11, 9319, 137989, 4439, 1295, 165523, 18151, 140992, 11249, 6097, 5 ]	[ 0.16748046875, 0.1455078125, 0.1995849609375, 0.1497802734375, 0.256103515625, 0.091552734375, 0.278076171875, 0.1292724609375, 0.142578125, 0.08953857421875, 0.1849365234375, 0.142578125, 0.112060546875, 0.15283203125, 0.0863037109375, 0.04010009765625, 0.1787109375, 0.14807128906...	embed
58551974_c0	58551974	python	0	Title: Creating new column in dataframe Problem title: Creating new column in dataframe Tags: pandas, numpy, python Problem: Creating new column in dataframe Code signals: Creating, count_e, a_count, Since	Creating new column in dataframe Creating new column in dataframe pandas numpy python Creating count_e a_count Since Creating new column in dataframe I have a dataframe that has the following columns : I want to create a new column "a_count" which would be generated on the constraint that the for each row it would be c...	[ 0.033447265625, 0.003997802734375, -0.0128173828125, 0.0250244140625, 0.019775390625, -0.00836181640625, -0.01251220703125, 0.0181884765625, 0.001861572265625, 0.0009765625, -0.0050048828125, -0.033447265625, 0.007537841796875, 0.01275634765625, -0.017333984375, -0.006622314453125, -...	[ 56781, 3525, 3365, 316, 19, 23, 2053, 160328, 2652, 1124, 13269, 6493, 17198, 50828, 1916, 54529, 454, 13, 10, 71013, 70, 87, 3444, 28282, 11, 2806, 139392, 98, 158, 2816, 4288, 100, 12638, 15555, 64, 112302, 5622, 13379, 111, 1326, 600...	[ 0.10418701171875, 0.1124267578125, 0.1441650390625, 0.1693115234375, 0.0947265625, 0.009765625, 0.1025390625, 0.26123046875, 0.0662841796875, 0.0792236328125, 0.050689697265625, 0.136962890625, 0.02862548828125, 0.10723876953125, 0.009124755859375, 0.1802978515625, 0.04693603515625, ...	embed
62835973_c1	62835973	python	1	015-02-10-000010-L1, UA-2015-02-16-000002-L1, UA-2015-02-26-000005-L1, UA-2015-03-05-000001-L1, UA-2015-03-05-000003-L1, UA-2015-03-05-000004-L1, UA-2015-03-06-000009-L1, UA-2015-03-06-000010-L1, number_id	015-02-10-000010-L1, UA-2015-02-16-000002-L1, UA-2015-02-26-000005-L1, UA-2015-03-05-000001-L1, UA-2015-03-05-000003-L1, UA-2015-03-05-000004-L1, UA-2015-03-06-000009-L1, UA-2015-03-06-000010-L1, number_id	[ 0.002197265625, -0.011474609375, -0.01007080078125, -0.00701904296875, 0.00469970703125, -0.01312255859375, 0.00299072265625, 0.005615234375, 0.0294189453125, 0.00104522705078125, 0.0037994384765625, -0.0281982421875, 0.0062255859375, -0.01953125, 0.0185546875, 0.006591796875, -0.000...	[ 757, 1837, 88296, 52486, 28568, 963, 9, 866, 418, 4, 6, 20004, 44906, 43627, 2485, 181155, 18504, 4046, 55426, 97540, 52288, 20268, 27495, 35748, 44037, 6463, 14012, 454, 532 ]	[ 0.1229248046875, 0.249267578125, 0.2325439453125, 0.1964111328125, 0.156494140625, 0.206298828125, 0.09381103515625, 0.1312255859375, 0.142333984375, 0.0950927734375, 0.060028076171875, 0.17333984375, 0.2459716796875, 0.159912109375, 0.1416015625, 0.1649169921875, 0.0482177734375, ...	embed
65275902_c0	65275902	python	0	Title: How to change format of a dict in Python? Problem title: How to change format of a dict in Python? Tags: python, function Problem: How to change format of a dict in Python? Code signals: How, Python	How to change format of a dict in Python? How to change format of a dict in Python? python function How Python How to change format of a dict in Python? I have a dictionary or list as below. How can I convert it below format as list or dictionary? I want to see each X/Y/Z for their unique values. I should not use panda...	[ -0.006744384765625, 0.0004482269287109375, 0.0033111572265625, 0.009521484375, 0.010498046875, -0.0164794921875, -0.0017547607421875, 0.007110595703125, -0.0130615234375, 0.049072265625, 0.0228271484375, -0.0159912109375, -0.032470703125, 0.0162353515625, 0.017578125, 0.006500244140625...	[ 11249, 47, 15549, 9384, 111, 10, 61669, 23, 145581, 17198, 50828, 32354, 45, 10763, 6635, 707, 5303, 237, 35064, 831, 87, 96760, 442, 3444, 1957, 12638, 1193, 64, 1723, 1511, 36998, 142424, 4527, 2652, 1124, 13269, 6493, 7311, 2053 ]	[ 0.1048583984375, 0.1158447265625, 0.2269287109375, 0.251953125, 0.08013916015625, 0.0413818359375, 0.2386474609375, 0.071533203125, 0.26318359375, 0.0814208984375, 0.126953125, 0.095703125, 0.0909423828125, 0.1444091796875, 0.09442138671875, 0.063720703125, 0.164794921875, 0.062072...	embed
69930453_c0	69930453	python	0	Title: How do I swap rows/columns in csv python Problem title: How do I swap rows/columns in csv python Tags: python, csv Problem: How do I swap rows/columns in csv python Code signals: How, SCORE1, SCORE2	How do I swap rows/columns in csv python How do I swap rows/columns in csv python python csv How SCORE1 SCORE2 How do I swap rows/columns in csv python My raw csv file like this . How do I swap score1 and score2 into the ID column? I want to like this : Using csv or pandas but csv is preferred.	[ -0.00104522705078125, 0.00848388671875, 0.0012359619140625, 0.017333984375, -0.00714111328125, -0.002593994140625, -0.003997802734375, 0.0145263671875, -0.006072998046875, 0.060791015625, 0.00183868408203125, -0.01495361328125, 0.00070953369140625, 0.0302734375, -0.0211181640625, -0.00...	[ 11249, 54, 87, 202317, 15555, 7, 64, 8447, 316, 1779, 23, 20763, 334, 17198, 50828, 17715, 54003, 418, 304, 49649, 11435, 1884, 903, 47763, 136, 3934, 70, 11338, 3365, 19, 3444, 345, 2652, 1124, 12601, 2822 ]	[ 0.053253173828125, 0.046875, 0.06365966796875, 0.25537109375, 0.2041015625, 0.03167724609375, 0.06707763671875, 0.1441650390625, 0.1832275390625, 0.0748291015625, 0.0455322265625, 0.1260986328125, 0.2200927734375, 0.1094970703125, 0.1815185546875, 0.1141357421875, 0.112548828125, 0...	embed
75762554_c0	75762554	python	0	Title: how to convert a table to an array Problem title: how to convert a table to an array Tags: databricks, pyspark, python Problem: how to convert a table to an array Code signals: item_name, item_value	how to convert a table to an array how to convert a table to an array databricks pyspark python item_name item_value how to convert a table to an array I have a table like below How do I convert it to any help would be appreciated!	[ 0.0079345703125, -0.0057373046875, -0.0260009765625, 0.0201416015625, -0.00811767578125, 0.00052642822265625, -0.00518798828125, 0.002227783203125, -0.0023956298828125, 0.043212890625, 0.0185546875, 0.006622314453125, 0.0045166015625, 0.0155029296875, -0.00604248046875, -0.006744384765...	[ 3642, 47, 96760, 10, 23180, 142, 10298, 53, 2053, 73720, 1224, 57756, 10237, 17198, 50828, 35735, 11627, 27494, 765, 1884, 35064, 11249, 54, 87, 4358, 77947 ]	[ 0.07965087890625, 0.1173095703125, 0.15771484375, 0.029388427734375, 0.263671875, 0.06732177734375, 0.2073974609375, 0.17578125, 0.0809326171875, 0.1715087890625, 0.0972900390625, 0.07562255859375, 0.1912841796875, 0.047454833984375, 0.1231689453125, 0.1326904296875, 0.1153564453125,...	embed
9554572_c0	9554572	python	0	Title: python empty list trick Problem title: python empty list trick Tags: list, python Problem: python empty list trick Why does this happen? x = [[]] * 4 x[0].append('x') -> [['x'], ['x'], ['x'], ['x']]	python empty list trick python empty list trick list python python empty list trick Why does this happen?	[ -0.006256103515625, 0.0084228515625, 0.0133056640625, 0.0019683837890625, 0.0062255859375, 0.0162353515625, -0.00567626953125, 0.0096435546875, 0.0257568359375, 0.01904296875, 0.0072021484375, -0.004791259765625, 0.002105712890625, 0.017822265625, -0.0162353515625, 0.00347900390625, ...	[ 17198, 50828, 201505, 5303, 88308, 44084, 14602, 903, 53383 ]	[ 0.046722412109375, 0.0904541015625, 0.2237548828125, 0.24072265625, 0.238037109375, 0.1256103515625, 0.06951904296875, 0.10260009765625, 0.130126953125 ]	embed
24033232_c1	24033232	python	1	575, 8303, 6615, 9534, 6535, 9715, 8434, 70433, 67214, 6541, 10936, 9700], [68624, 68337, 68241, 68138, 70577, 10244, 14207, 14205, 14209, 14206, 8499, 14211, 14115]] Code signals: Delete, b.txt, python-2.7	575, 8303, 6615, 9534, 6535, 9715, 8434, 70433, 67214, 6541, 10936, 9700], [68624, 68337, 68241, 68138, 70577, 10244, 14207, 14205, 14209, 14206, 8499, 14211, 14115]] Code signals: Delete, b.txt, python-2.7	[ 0.0242919921875, 0.01708984375, 0.003875732421875, 0.03662109375, -0.005218505859375, 0.007415771484375, 0.0025634765625, 0.00860595703125, 0.004302978515625, 0.03515625, -0.005279541015625, -0.0140380859375, -0.001068115234375, 0.004486083984375, -0.00096893310546875, -0.0099487304687...	[ 190, 6873, 4, 19251, 9513, 11251, 1837, 9199, 10289, 5684, 5843, 14819, 382, 152697, 2358, 150177, 6, 198493, 2592, 8894, 41184, 8659, 483, 15128, 268, 378, 178475, 2357, 12045, 129176, 192508, 141535, 165467, 140154, 617, 71725, 8368, 616, ...	[ 0.1416015625, 0.26220703125, 0.1046142578125, 0.1573486328125, 0.233154296875, 0.1357421875, 0.1788330078125, 0.116943359375, 0.1785888671875, 0.113525390625, 0.15869140625, 0.09454345703125, 0.0849609375, 0.2078857421875, 0.04144287109375, 0.1864013671875, 0.06317138671875, 0.1176...	embed
31806482_c1	31806482	python	1	4e, b676, b3a9, f683, a9ad, f0c8, d5fe, ae5e, ad7e, db24, ec30, ce3d, e7de, f3de, e0f9, f8f2, cad4, c807, a4cc, b461, c8f3, b4d9, a35a, ad82, a83b, d867, e00b, ae13, af88, cb41, f0e1, ba3d, ff1b, f32f, d51a	4e, b676, b3a9, f683, a9ad, f0c8, d5fe, ae5e, ad7e, db24, ec30, ce3d, e7de, f3de, e0f9, f8f2, cad4, c807, a4cc, b461, c8f3, b4d9, a35a, ad82, a83b, d867, e00b, ae13, af88, cb41, f0e1, ba3d, ff1b, f32f, d51a	[ -0.01104736328125, 0.007537841796875, -0.0159912109375, 0.0002803802490234375, 0.0034027099609375, -0.0028839111328125, -0.042724609375, 0.00106048583984375, -0.0000762939453125, 0.02001953125, -0.0034637451171875, 0.0228271484375, 0.0068359375, 0.005767822265625, -0.01556396484375, -0...	[ 201, 13, 4, 876, 181137, 363, 11, 1126, 1238, 184929, 10, 712, 2389, 238, 1019, 104, 758, 2242, 606, 966, 40041, 2357, 50061, 1197, 405, 71, 28, 112, 420, 304, 19630, 617, 501, 4836, 10060, 162044, 5843, 12012, 17168, 275, 211143, 704...	[ 0.21337890625, 0.1822509765625, 0.1304931640625, 0.154541015625, 0.30078125, 0.13427734375, 0.13134765625, 0.1519775390625, 0.1522216796875, 0.270263671875, 0.1551513671875, 0.15869140625, 0.0362548828125, 0.046844482421875, 0.1324462890625, 0.1358642578125, 0.06219482421875, 0.162...	embed
33077193_c0	33077193	python	0	Title: shell script rename multi files based on folder ids Problem title: shell script rename multi files based on folder ids Tags: shell, python Problem: shell script rename multi files based on folder ids	shell script rename multi files based on folder ids shell script rename multi files based on folder ids shell python shell script rename multi files based on folder ids ive the following pattern for 2014 and 2015 i want to rename all files under /store based on the folder ids here is folder id= 55122 so the file under ...	[ -0.00738525390625, -0.01312255859375, -0.0303955078125, 0.0556640625, -0.0142822265625, -0.00787353515625, 0.006622314453125, 0.01068115234375, -0.01116943359375, 0.038330078125, -0.0050048828125, 0.0147705078125, -0.00946044921875, 0.018798828125, 0.01019287109375, -0.0030517578125, ...	[ 128019, 26499, 456, 11627, 6024, 102158, 35509, 98, 78303, 3447, 7, 17198, 50828, 272, 25632, 103510, 100, 1049, 136, 918, 3444, 756, 1379, 248, 45804, 3688, 4859, 108837, 11435, 4343, 5608, 186, 483, 112930, 2967, 6863, 106, 60875, 12638, ...	[ 0.1978759765625, 0.177734375, 0.1319580078125, 0.20263671875, 0.2120361328125, 0.183349609375, 0.123779296875, 0.0645751953125, 0.16845703125, 0.167724609375, 0.03790283203125, 0.06500244140625, 0.12158203125, 0.013031005859375, 0.013580322265625, 0.133544921875, 0.01007080078125, ...	embed
42612676_c0	42612676	python	0	Title: Pandas dataframe max and min value Problem title: Pandas dataframe max and min value Tags: jupyter-notebook, python, pandas Problem: Pandas dataframe max and min value Code signals: column, 1, Pandas	Pandas dataframe max and min value Pandas dataframe max and min value jupyter-notebook python pandas column 1 Pandas Pandas dataframe max and min value I have a pandas dataframe that looks like the following: What I want to do is get the max and min values from column 'B' given by the the range from 1 to 3 in column 'A...	[ 0.029296875, -0.005157470703125, 0.0177001953125, 0.033935546875, -0.003662109375, 0.00396728515625, 0.0133056640625, 0.00096893310546875, -0.010498046875, 0.024658203125, -0.0140380859375, -0.020751953125, -0.0001506805419921875, -0.0015411376953125, 0.017822265625, 0.01361083984375, ...	[ 89308, 7, 2053, 160328, 18389, 136, 881, 34292, 1129, 6493, 720, 48345, 14137, 17198, 50828, 2652, 1124, 3365, 316, 106, 33342, 1884, 25632, 3444, 2046, 142424, 1295, 571, 34475, 390, 37457, 47, 138, 284, 27781, 15190 ]	[ 0.1748046875, 0.0933837890625, 0.1104736328125, 0.22314453125, 0.1842041015625, 0.0963134765625, 0.21630859375, 0.197021484375, 0.0242462158203125, 0.040802001953125, 0.09454345703125, 0.0775146484375, 0.099365234375, 0.030914306640625, 0.0872802734375, 0.102783203125, 0.12158203125,...	embed
44318047_c0	44318047	python	0	Title: Is this a dictionary & lists bug? Problem title: Is this a dictionary & lists bug? Tags: debugging, list, python, append Problem: Is this a dictionary & lists bug? Code signals: dict.fromkeys	Is this a dictionary & lists bug? Is this a dictionary & lists bug? debugging list python append dict.fromkeys Is this a dictionary & lists bug? Can anybody make sense of this: Method 1 Method 2 I cannot figure out why in the 2nd case the value is appended in each key.... this is a serious bug or I am seriously...	[ 0.01068115234375, 0.004486083984375, -0.00860595703125, -0.0311279296875, -0.0211181640625, 0.004180908203125, 0.0250244140625, 0.01348876953125, 0.0087890625, 0.03564453125, 0.004425048828125, -0.000598907470703125, 0.00130462646484375, 0.01202392578125, -0.01458740234375, -0.0078125,...	[ 2071, 903, 10, 45, 10763, 6635, 619, 25133, 74, 5303, 7, 54608, 8, 978, 36659, 17198, 50828, 114689, 71, 61669, 161063, 19770, 3249, 10422, 74644, 116, 53418, 26366, 15400, 2208, 7225, 34292, 83, 48141, 23, 12638, 22799, 85583, 147115, 16...	[ 0.047637939453125, 0.1248779296875, 0.02569580078125, 0.053070068359375, 0.1378173828125, 0.09002685546875, 0.091064453125, 0.0777587890625, 0.035430908203125, 0.1845703125, 0.0531005859375, 0.2000732421875, 0.1068115234375, 0.13232421875, 0.021148681640625, 0.023284912109375, 0.1156...	embed
50101964_c1	50101964	python	1	1991/1/1 120 3 1 2 1992/1/1 85 4 4 2 1992/1/1 90 5 7 2 1992/1/1 80 6 2 3 1993/1/1 85 1 5 3 1993/1/1 90 2 8 3 1993/1/1 100 3 Code signals: Dropping, Deal, Year, Financial, Data1, Data2, Data3, Quarter, Data	1991/1/1 120 3 1 2 1992/1/1 85 4 4 2 1992/1/1 90 5 7 2 1992/1/1 80 6 2 3 1993/1/1 85 1 5 3 1993/1/1 90 2 8 3 1993/1/1 100 3 Code signals: Dropping, Deal, Year, Financial, Data1, Data2, Data3, Quarter, Data	[ 0.00927734375, 0.0032501220703125, -0.0263671875, 0.0196533203125, 0.0003681182861328125, -0.005889892578125, 0.01385498046875, 0.007659912109375, 0.0361328125, 0.0546875, -0.03125, -0.032470703125, -0.0029144287109375, -0.0072021484375, -0.021240234375, -0.00006961822509765625, 0.02...	[ 12898, 11583, 5390, 138, 106, 116, 12839, 9365, 201, 2510, 190, 361, 2248, 305, 13867, 382, 805, 28864, 26073, 7, 12, 46193, 26783, 4, 90943, 42552, 96408, 11809, 418, 304, 363, 48772, 56 ]	[ 0.2464599609375, 0.198974609375, 0.2457275390625, 0.26416015625, 0.09979248046875, 0.0914306640625, 0.16845703125, 0.1815185546875, 0.08740234375, 0.16650390625, 0.0841064453125, 0.0308074951171875, 0.146240234375, 0.06390380859375, 0.2210693359375, 0.061859130859375, 0.2059326171875...	embed
64268579_c1	64268579	python	1	2014-03-08 A C 3 2 2014-03-08 A D 2 2 2014-03-04 B C 5 1 2014-03-04 B D 6 1 2014-03-05 B E 7 1 2014-03-06 B F 8 1 2014-03-06 B C 9 2 Code signals: Group, Consecutive, Dates, Rank, Date, Barcode, Step, Value	2014-03-08 A C 3 2 2014-03-08 A D 2 2 2014-03-04 B C 5 1 2014-03-04 B D 6 1 2014-03-05 B E 7 1 2014-03-06 B F 8 1 2014-03-06 B C 9 2 Code signals: Group, Consecutive, Dates, Rank, Date, Barcode, Step, Value	[ 0.018798828125, -0.004852294921875, -0.0260009765625, 0.0308837890625, 0.01190185546875, -0.000637054443359375, -0.00021076202392578125, 0.04248046875, 0.01202392578125, 0.03076171875, -0.01116943359375, 0.0005645751953125, 0.00145721435546875, -0.0023345947265625, -0.0306396484375, -0...	[ 1049, 37151, 8318, 62, 313, 138, 116, 391, 7709, 335, 190, 106, 305, 8194, 241, 361, 9016, 563, 382, 483, 28864, 26073, 7, 12, 10760, 4, 1657, 166643, 272, 25512, 134405, 3253, 40899, 50478, 190060 ]	[ 0.173828125, 0.109375, 0.1392822265625, 0.1068115234375, 0.0977783203125, 0.10736083984375, 0.09375, 0.0784912109375, 0.052215576171875, 0.05914306640625, 0.064697265625, 0.017059326171875, 0.0633544921875, 0.0265960693359375, 0.0706787109375, 0.030731201171875, 0.03302001953125, 0...	embed
64736080_c0	64736080	python	0	Title: print la limited number of list on each line Problem title: print la limited number of list on each line Tags: formatting, list, printing, python Problem: print la limited number of list on each line	print la limited number of list on each line print la limited number of list on each line formatting list printing python print la limited number of list on each line prints elements from a list with 10 digits per line from this to this (without parenthesis)	[ -0.0130615234375, -0.007049560546875, 0.0015106201171875, -0.0081787109375, -0.0038299560546875, -0.013427734375, 0.007659912109375, 0.00982666015625, 0.01129150390625, 0.04736328125, 0.007080078125, -0.042724609375, -0.00159454345703125, -0.00109100341796875, -0.00872802734375, 0.0057...	[ 28412, 21, 84046, 14012, 111, 5303, 98, 12638, 13315, 9384, 1916, 2448, 17198, 50828, 7, 80854, 1295, 678, 209, 153939, 117, 903, 47, 76228, 6056, 49129, 160291 ]	[ 0.2393798828125, 0.20458984375, 0.2342529296875, 0.16845703125, 0.05865478515625, 0.2344970703125, 0.143310546875, 0.1585693359375, 0.186279296875, 0.1640625, 0.07391357421875, 0.1822509765625, 0.119140625, 0.1553955078125, 0.061614990234375, 0.1527099609375, 0.08642578125, 0.09014...	embed
54988956_c0	54988956	python	0	Title: duplicate all column in a file Problem title: duplicate all column in a file Tags: python, shell, python-2.7, awk Problem: duplicate all column in a file Code signals: BEGIN, OFS, try.txt, python-2.7	duplicate all column in a file duplicate all column in a file python shell python-2.7 awk BEGIN OFS try.txt python-2.7 duplicate all column in a file I am trying to duplicate all the columns in my file. My file is very large consisting of 600,000 columns and 300 rows - tab separated. Here I am just showing a small part...	[ -0.005584716796875, -0.009033203125, -0.0108642578125, 0.02978515625, 0.003997802734375, -0.0019073486328125, 0.0155029296875, 0.00055694580078125, -0.001983642578125, -0.005889892578125, -0.00567626953125, 0.0390625, 0.00052642822265625, 0.0286865234375, -0.01129150390625, -0.01062011...	[ 171763, 67, 756, 3365, 316, 19, 23, 10, 11435, 17198, 50828, 128019, 5428, 966, 434, 92, 9622, 108526, 180, 36381, 9790, 124326, 87, 444, 31577, 47, 70, 1779, 759, 2646, 4552, 21334, 58055, 6331, 4, 9508, 2668, 15555, 20928, 84797, 1185...	[ 0.269775390625, 0.1484375, 0.1947021484375, 0.1820068359375, 0.1832275390625, 0.07177734375, 0.1070556640625, 0.031463623046875, 0.21435546875, 0.08306884765625, 0.1400146484375, 0.158203125, 0.0836181640625, 0.080810546875, 0.1455078125, 0.1719970703125, 0.04156494140625, 0.135253...	embed
66944545_c0	66944545	python	0	Title: python - best way to stack matrices Problem title: python - best way to stack matrices Tags: python, numpy Problem: python - best way to stack matrices i have two matrices [[0,0,0], [0,0,0], [0,0,0]]	python - best way to stack matrices python - best way to stack matrices python numpy python - best way to stack matrices i have two matrices I would like them v-stacked and h-stacked like this what is the best way to do this?	[ 0.0135498046875, 0.003326416015625, 0.002899169921875, -0.0157470703125, 0.0107421875, -0.0125732421875, -0.009521484375, -0.004058837890625, 0.0113525390625, -0.0128173828125, 0.01214599609375, -0.00811767578125, 0.0177001953125, -0.021484375, -0.041748046875, -0.01177978515625, 0.0...	[ 17198, 50828, 2965, 3917, 47, 177261, 50944, 5170, 13269, 6493, 17, 765, 6626, 2806, 1884, 2856, 81, 590, 76622, 136, 1096, 903, 54 ]	[ 0.117919921875, 0.1781005859375, 0.1253662109375, 0.11962890625, 0.0889892578125, 0.2425537109375, 0.21728515625, 0.1636962890625, 0.06988525390625, 0.134765625, 0.009185791015625, 0.0311279296875, 0.1217041015625, 0.0853271484375, 0.120849609375, 0.027313232421875, 0.1845703125, 0...	embed
71619376_c0	71619376	python	0	Title: Sort python dict by two values Problem title: Sort python dict by two values Tags: python, dictionary, sorting Problem: Sort python dict by two values Code signals: Sort, EKAD, EKADD, KADDLG, ADDLGKG	Sort python dict by two values Sort python dict by two values python dictionary sorting Sort EKAD EKADD KADDLG ADDLGKG Sort python dict by two values I've the following dict of list I wish to get the keys sorted first by value[2] then by length of value[0] string and in reverse order, i.e. the output will be k2, k1, k3...	[ 0.0238037109375, 0.015380859375, -0.015869140625, -0.0213623046875, -0.0159912109375, -0.0032196044921875, -0.0208740234375, -0.006988525390625, 0.002716064453125, 0.0147705078125, 0.0208740234375, 0.017578125, -0.017578125, 0.007232666015625, 0.0003261566162109375, 0.0011749267578125,...	[ 53666, 17198, 50828, 61669, 390, 6626, 142424, 45, 10763, 6635, 12096, 214, 44756, 12351, 111563, 24057, 10855, 39303, 45214, 25632, 111, 5303, 32599, 2046, 22799, 7, 17497, 71, 5117, 34292, 39556, 140909, 2389, 79315, 23, 39531, 12989, 14099...	[ 0.2413330078125, 0.1435546875, 0.18310546875, 0.227783203125, 0.0972900390625, 0.1781005859375, 0.2205810546875, 0.039703369140625, 0.0987548828125, 0.005767822265625, 0.222900390625, 0.04583740234375, 0.08349609375, 0.1241455078125, 0.0819091796875, 0.1051025390625, 0.03378295898437...	embed
74440462_c1	74440462	python	1	. 10. 10. 15. 15. 15. 20. 20. 20. 30. 30. 30. 40. 40. 40. 80. 80. 80. 160. 160. 160. 240. 240. 240. 255. 255. 255.] Code signals: scipy.optimize, curve_fit, Improve, fit_func_xae, Curve, fit_func3xa, Signal	. 10. 10. 15. 15. 15. 20. 20. 20. 30. 30. 30. 40. 40. 40. 80. 80. 80. 160. 160. 160. 240. 240. 240. 255. 255. 255.] Code signals: scipy.optimize, curve_fit, Improve, fit_func_xae, Curve, fit_func3xa, Signal	[ 0.02685546875, 0.0017547607421875, 0.00799560546875, 0.0089111328125, 0.00933837890625, -0.0021820068359375, 0.00970458984375, -0.0037841796875, -0.0009765625, 0.03662109375, -0.00640869140625, -0.0185546875, -0.006011962890625, 0.021240234375, 0.0137939453125, -0.0029296875, 0.00854...	[ 6, 5, 4068, 6281, 7085, 496, 1112, 2248, 13442, 30183, 86565, 268, 28864, 26073, 7, 12, 13047, 6493, 100433, 20650, 9709, 272, 16086, 3370, 66187, 11177, 16498, 238, 3798, 13, 17065, 363, 144000 ]	[ 0.01104736328125, 0.07659912109375, 0.1341552734375, 0.135009765625, 0.109375, 0.14892578125, 0.1572265625, 0.150146484375, 0.1641845703125, 0.13818359375, 0.1669921875, 0.054443359375, 0.2288818359375, 0.261474609375, 0.0850830078125, 0.0292816162109375, 0.1361083984375, 0.2053222...	embed
76463808_c2	76463808	python	2	Decode, Length, x9d, x9an, xf9, x15u31r, x04, x95, x93, x0e, xe8, xa0, x07, x18, x98, xe9, x131, x17, xb1, xd5, xd8r, xb5, xd4, xf3, xa4, xe5, x02b, xc49, x13DP, xb6, x96, x94, x99, x92, x7f, xd2, xf6O, xe4	Decode, Length, x9d, x9an, xf9, x15u31r, x04, x95, x93, x0e, xe8, xa0, x07, x18, x98, xe9, x131, x17, xb1, xd5, xd8r, xb5, xd4, xf3, xa4, xe5, x02b, xc49, x13DP, xb6, x96, x94, x99, x92, x7f, xd2, xf6O, xe4	[ 0.0091552734375, 0.014892578125, -0.02392578125, 0.02783203125, 0.0089111328125, 0.000335693359375, -0.00628662109375, 0.0302734375, 0.01202392578125, 0.0419921875, -0.0107421875, -0.0283203125, 0.0186767578125, 0.0024871826171875, -0.0130615234375, -0.000926971435546875, 0.005432128...	[ 262, 40899, 4, 77554, 927, 1022, 1126, 71, 66, 420, 1837, 34, 5016, 42, 7709, 8821, 11591, 2389, 13, 4449, 1019, 2459, 8368, 1819, 16665, 115468, 2489, 275, 418, 758, 617, 363, 9550, 238, 12977, 2681, 28399, 910, 11648, 14889, 5046, 1...	[ 0.243408203125, 0.328857421875, 0.1116943359375, 0.2091064453125, 0.1982421875, 0.1146240234375, 0.18603515625, 0.1484375, 0.1571044921875, 0.10430908203125, 0.166015625, 0.0782470703125, 0.2039794921875, 0.10302734375, 0.2049560546875, 0.227294921875, 0.222412109375, 0.11401367187...	embed
817882_c0	817882	python	0	Title: Unique session id in python Problem title: Unique session id in python Tags: session, python Problem: Unique session id in python How do I generate a unique session id in Python? Code signals: Unique	Unique session id in python Unique session id in python session python Unique Unique session id in python How do I generate a unique session id in Python?	[ 0.01446533203125, 0.0106201171875, 0.0185546875, -0.03515625, 0.005279541015625, 0.0059814453125, 0.004547119140625, 0.0035552978515625, 0.00051116943359375, -0.045166015625, -0.0128173828125, 0.0174560546875, 0.008544921875, 0.0027618408203125, -0.0211181640625, 0.01068115234375, -0...	[ 11789, 944, 56002, 3447, 23, 17198, 50828, 11249, 54, 87, 139392, 10, 36998, 145581 ]	[ 0.1756591796875, 0.15478515625, 0.2388916015625, 0.2144775390625, 0.06927490234375, 0.130615234375, 0.19287109375, 0.0249481201171875, 0.0131683349609375, 0.024688720703125, 0.1529541015625, 0.03790283203125, 0.24462890625, 0.23974609375 ]	embed
21976242_c0	21976242	python	0	Title: Using Regular expression to match Problem title: Using Regular expression to match Tags: python Problem: Using Regular expression to match Code signals: re, Using, Regular, abc$efg, re.match, str.find	Using Regular expression to match Using Regular expression to match python re Using Regular abc$efg re.match str.find Using Regular expression to match I wish to find a symbol '$' present in my string. I want to write a if statement which gives me an error when a $ is present , else prints OK!! I want to achieve this u...	[ -0.0142822265625, 0.01300048828125, -0.006134033203125, 0.0057373046875, 0.0032806396484375, 0.008544921875, -0.009033203125, 0.0380859375, 0.0228271484375, -0.01416015625, 0.00055694580078125, -0.0224609375, -0.00616455078125, -0.006195068359375, 0.00897216796875, -0.0034027099609375,...	[ 345, 47881, 42, 125195, 47, 14858, 17198, 50828, 456, 6953, 1563, 238, 4369, 4240, 177, 98753, 7704, 111607, 32599, 7413, 26582, 13379, 23, 759, 79315, 3444, 33022, 2174, 63805, 76199, 18499, 3229, 3650, 83, 37076, 28412, 14315, 69307, 1736...	[ 0.08349609375, 0.2235107421875, 0.1539306640625, 0.2451171875, 0.0390625, 0.250244140625, 0.092529296875, 0.1466064453125, 0.112060546875, 0.0179595947265625, 0.0789794921875, 0.0217132568359375, 0.1959228515625, 0.076904296875, 0.067138671875, 0.2327880859375, 0.1431884765625, 0.1...	embed
26661556_c0	26661556	python	0	Title: Split list after repeating elements Problem title: Split list after repeating elements Tags: python, list Problem: Split list after repeating elements Code signals: Split, c.append, anotherList.append	Split list after repeating elements Split list after repeating elements python list Split c.append anotherList.append Split list after repeating elements I have this loop for creating a list of coefficients: For example N = [2, 3, 4] would give list c: I want a way of making separate lists after each 1.0 element. For e...	[ -0.01171875, 0.00750732421875, -0.01025390625, 0.0255126953125, -0.019775390625, 0.00689697265625, 0.0033416748046875, 0.0208740234375, 0.031982421875, 0.002288818359375, -0.0108642578125, -0.0050048828125, -0.0284423828125, 0.01226806640625, -0.00860595703125, 0.0125732421875, 0.000...	[ 46474, 5303, 7103, 119140, 214, 80854, 17198, 50828, 501, 9007, 3611, 15700, 154663, 765, 903, 40956, 105233, 552, 4240, 11044, 35066, 1326, 27781, 541, 304, 138, 201, 8337, 3444, 3917, 20662, 84797, 12638, 53855, 12830, 8512, 71, 47644, 21...	[ 0.2349853515625, 0.236083984375, 0.160400390625, 0.27392578125, 0.1341552734375, 0.2020263671875, 0.0638427734375, 0.12939453125, 0.0364990234375, 0.05682373046875, 0.070556640625, 0.1075439453125, 0.1905517578125, 0.0006103515625, 0.01654052734375, 0.1573486328125, 0.07769775390625,...	embed
30223601_c1	30223601	python	1	.NC251.LM5555989565C2-. 215-156 .NSD6C.556562443.MRO232324564612 Code signals: Renaming, filexxxxFA9261, filexxxxFA3040, filexxxxFA5251, FA9261.4586.56641.1212, FA3040.6589.65555.1516, FA5251.3562.65555.5633	.NC251.LM5555989565C2-. 215-156 .NSD6C.556562443.MRO232324564612 Code signals: Renaming, filexxxxFA9261, filexxxxFA3040, filexxxxFA5251, FA9261.4586.56641.1212, FA3040.6589.65555.1516, FA5251.3562.65555.5633	[ -0.00103759765625, 0.009521484375, -0.00811767578125, 0.01416015625, 0.0081787109375, 0.004486083984375, 0.0172119140625, 0.016845703125, 0.0198974609375, 0.0498046875, -0.0021820068359375, -0.0123291015625, 0.003082275390625, 0.00982666015625, 0.00732421875, 0.0230712890625, 0.01245...	[ 6, 5, 36253, 2588, 418, 37150, 87357, 188580, 8821, 12424, 441, 18504, 80338, 155740, 22479, 397, 910, 163406, 11548, 14255, 98989, 178509, 1530, 28864, 26073, 7, 12, 15790, 302, 214, 11435, 425, 43883, 14676, 12231, 11540, 1197, 2839, 1274...	[ 0.024383544921875, 0.0875244140625, 0.087890625, 0.2027587890625, 0.087890625, 0.0697021484375, 0.1236572265625, 0.09033203125, 0.0231170654296875, 0.0682373046875, 0.0159912109375, 0.052642822265625, 0.158447265625, 0.176513671875, 0.051910400390625, 0.03631591796875, 0.028701782226...	embed
47774652_c0	47774652	python	0	Title: Python package installation error for openCV Problem title: Python package installation error for openCV Tags: opencv, python Problem: Python package installation error for openCV Code signals: Python	Python package installation error for openCV Python package installation error for openCV opencv python Python Python package installation error for openCV what is the problem ?	[ 0.0167236328125, -0.0017852783203125, -0.0169677734375, -0.0096435546875, -0.002349853515625, -0.00640869140625, -0.0035552978515625, -0.0380859375, -0.0152587890625, 0.04443359375, 0.003570556640625, -0.031494140625, 0.0223388671875, 0.00628662109375, -0.014404296875, 0.0120849609375,...	[ 145581, 98169, 59720, 18499, 100, 9803, 105553, 238, 334, 17198, 50828, 2367, 83, 2967 ]	[ 0.25146484375, 0.195068359375, 0.187744140625, 0.156494140625, 0.04962158203125, 0.166015625, 0.277587890625, 0.057647705078125, 0.189208984375, 0.05841064453125, 0.063720703125, 0.04571533203125, 0.018218994140625, 0.1248779296875 ]	embed
47892383_c0	47892383	python	0	Title: Select multiple elements per row in numpy Problem title: Select multiple elements per row in numpy Tags: python, numpy Problem: Select multiple elements per row in numpy Code signals: Select, np.array	Select multiple elements per row in numpy Select multiple elements per row in numpy python numpy Select np.array Select multiple elements per row in numpy With How can I get Numpy to give me the elements of ad with the indexes of cp[0,:] as first row (the indexes are [2,3,1,1,2,0] so the first row should be [0.9, 0.1, ...	[ -0.00482177734375, 0.01177978515625, 0.01611328125, 0.029296875, -0.02685546875, -0.01104736328125, 0.0113525390625, 0.01129150390625, 0.0272216796875, 0.0194091796875, 0.0125732421875, -0.00921630859375, -0.0067138671875, 0.0220947265625, -0.0277099609375, 0.003570556640625, 0.01745...	[ 51620, 48716, 80854, 117, 15555, 23, 13269, 6493, 17198, 50828, 25037, 19305, 17106, 11249, 831, 2046, 52782, 8337, 163, 606, 678, 63262, 111, 501, 254, 2389, 12, 237, 5117, 621, 155761, 216969, 70, 5608, 143161, 4, 107754, 132208, 81730, ...	[ 0.1968994140625, 0.231201171875, 0.219482421875, 0.1385498046875, 0.233642578125, 0.058990478515625, 0.17822265625, 0.2578125, 0.0821533203125, 0.100341796875, 0.1737060546875, 0.096923828125, 0.03216552734375, 0.004364013671875, 0.02484130859375, 0.043365478515625, 0.18408203125, ...	embed
51694251_c0	51694251	python	0	Title: Subtract rows by using diff() method Problem title: Subtract rows by using diff() method Tags: python, python-2.7 Problem: Subtract rows by using diff() method Code signals: diff, Subtract, python-2.7	Subtract rows by using diff() method Subtract rows by using diff() method python python-2.7 diff Subtract python-2.7 Subtract rows by using diff() method I'm a beginner in Python. I have this cumulative hourly energy consumption for one day: What I'm trying to do is getting the hourly energy consumption by subtracting ...	[ 0.00372314453125, 0.018310546875, 0.01312255859375, 0.050048828125, -0.0184326171875, -0.035888671875, 0.00872802734375, 0.03955078125, 0.001220703125, 0.007171630859375, -0.0164794921875, -0.0283203125, -0.0064697265625, 0.007781982421875, -0.005035400390625, 0.0054931640625, 0.0083...	[ 8273, 39989, 18, 15555, 7, 17368, 71337, 132, 55300, 17198, 50828, 5428, 966, 9842, 1679, 145581, 1452, 202, 45023, 56816, 538, 48302, 18588, 254, 100, 1632, 5155, 31577, 20949, 1614, 41928, 11737, 17378, 458, 8705, 36746, 1556, 110, 150380...	[ 0.1141357421875, 0.16357421875, 0.029541015625, 0.205322265625, 0.052032470703125, 0.02752685546875, 0.26708984375, 0.0921630859375, 0.1439208984375, 0.05987548828125, 0.11279296875, 0.04827880859375, 0.072998046875, 0.01220703125, 0.011077880859375, 0.1983642578125, 0.0694580078125,...	embed
10665404_c0	10665404	python	0	Title: Rendering a cube in OpenGL Problem title: Rendering a cube in OpenGL Tags: opengl, python, pyqt Problem: Rendering a cube in OpenGL Code signals: Rendering, OpenGL, make_cube, glColor3f, GL.glVertex3d	Rendering a cube in OpenGL Rendering a cube in OpenGL opengl python pyqt Rendering OpenGL make_cube glColor3f GL.glVertex3d Rendering a cube in OpenGL I'm trying to program a rotaing cube. Therefore I generate a cube using my make_cube method. Unfortunatly some faces of the cube don't get rendered. I tried a lot I don'...	[ 0.0038909912109375, -0.00118255615234375, -0.0035552978515625, -0.00147247314453125, 0.021728515625, 0.00775146484375, 0.00408935546875, -0.000591278076171875, 0.013916015625, 0.0126953125, -0.0012359619140625, -0.045166015625, 0.0162353515625, 0.001495361328125, -0.032470703125, 0.014...	[ 63137, 4209, 314, 372, 13527, 78703, 23, 9803, 11016, 50828, 18, 3249, 1010, 39575, 1484, 90799, 24371, 363, 31577, 1528, 47014, 214, 139392, 10, 55300, 104272, 3060, 2577, 2301, 2046, 79516, 37842, 5915, 28219, 15400, 83, 959, 3355, 106813...	[ 0.135009765625, 0.045989990234375, 0.1939697265625, 0.204833984375, 0.13134765625, 0.2091064453125, 0.0230865478515625, 0.1097412109375, 0.175048828125, 0.0830078125, 0.0386962890625, 0.08782958984375, 0.1614990234375, 0.01544189453125, 0.034454345703125, 0.04925537109375, 0.01049804...	embed
6044326_c0	6044326	python	0	Title: How to connect Python to Db2 Problem title: How to connect Python to Db2 Tags: db2, python Problem: How to connect Python to Db2 Is there a way to connect Python to Db2? Code signals: How, Python, Db2	How to connect Python to Db2 How to connect Python to Db2 db2 python How Python Db2 How to connect Python to Db2 Is there a way to connect Python to Db2?	[ 0.01025390625, 0.0167236328125, 0.01239013671875, 0.0296630859375, 0.004058837890625, 0.02685546875, -0.0111083984375, -0.015869140625, -0.00933837890625, -0.01806640625, 0.01318359375, -0.01397705078125, 0.0062255859375, -0.00628662109375, -0.0303955078125, -0.01336669921875, -0.030...	[ 11249, 37067, 145581, 47, 391, 275, 304, 40041, 17198, 50828, 3917 ]	[ 0.07183837890625, 0.169189453125, 0.27294921875, 0.1422119140625, 0.09503173828125, 0.1883544921875, 0.2152099609375, 0.16259765625, 0.1087646484375, 0.12939453125, 0.049957275390625 ]	embed
63336397_c0	63336397	python	0	Title: peewee datetime field to microsecond Problem title: peewee datetime field to microsecond Tags: python, peewee Problem: peewee datetime field to microsecond Code signals: test, BaseModel, DateTimeField	peewee datetime field to microsecond peewee datetime field to microsecond python peewee test BaseModel DateTimeField peewee datetime field to microsecond I define my data field as and I insert a bunch of data with format same with 2005-06-03 16:12:01.215908 , I check the table with select start from test; I looked up t...	[ -0.00091552734375, -0.0093994140625, 0.00408935546875, 0.01458740234375, -0.024658203125, 0.0018768310546875, 0.018798828125, 0.00811767578125, 0.01141357421875, -0.0245361328125, 0.01214599609375, 0.0279541015625, 0.0162353515625, 0.00045013427734375, -0.0022125244140625, -0.013916015...	[ 280, 13, 1177, 5622, 6032, 44457, 47, 11948, 191633, 17198, 50828, 3034, 44978, 140290, 25512, 70059, 6159, 19388, 61924, 2053, 237, 183540, 147306, 9384, 5701, 4078, 44037, 9513, 12975, 8318, 12765, 23180, 36849, 4034, 1295, 12937, 29713, 10...	[ 0.1075439453125, 0.094970703125, 0.1712646484375, 0.137451171875, 0.1954345703125, 0.2222900390625, 0.125, 0.1383056640625, 0.233642578125, 0.041259765625, 0.123046875, 0.197998046875, 0.1168212890625, 0.1962890625, 0.1187744140625, 0.1439208984375, 0.0965576171875, 0.1622314453125...	embed
54959945_c0	54959945	python	0	Title: Python numpy indexing inconsistency Problem title: Python numpy indexing inconsistency Tags: numpy, indexing, python Problem: Python numpy indexing inconsistency Code signals: numpy, Python, np.arange	Python numpy indexing inconsistency Python numpy indexing inconsistency numpy indexing python numpy Python np.arange Python numpy indexing inconsistency generates the following: Why do print(a[0:2]) and print(a[7:9]) show arrays of only 2 elements?	[ 0.0019683837890625, 0.006439208984375, -0.006988525390625, -0.00119781494140625, 0.0123291015625, 0.0025177001953125, 0.008056640625, 0.0034637451171875, 0.01483154296875, 0.00170135498046875, -0.00579833984375, 0.00799560546875, 0.00732421875, 0.015869140625, 0.00897216796875, -0.0228...	[ 145581, 13269, 6493, 63262, 214, 23, 25553, 6892, 17198, 50828, 25037, 11, 94250, 2408, 139392, 70, 25632, 44084, 28412, 2389, 12, 90173, 136, 966, 1126, 7639, 10298, 4778, 111, 4734, 116, 80854 ]	[ 0.2359619140625, 0.14501953125, 0.169921875, 0.199462890625, 0.078369140625, 0.1065673828125, 0.1451416015625, 0.188720703125, 0.08721923828125, 0.10003662109375, 0.1546630859375, 0.08203125, 0.16943359375, 0.027069091796875, 0.1217041015625, 0.046661376953125, 0.0318603515625, 0.0...	embed

59135465_c0

59135465

python

0

Title: python decimal gives wrong answers Problem title: python decimal gives wrong answers Tags: python, decimal Problem: python decimal gives wrong answers Code signals: decimal, getcontext, Returns

python decimal gives wrong answers python decimal gives wrong answers python decimal decimal getcontext Returns python decimal gives wrong answers This is something you can try in the interpreter, can anyone explain me why? Note: This problem is different from Is floating point math broken? because my answers are not a...

[ 0.0269775390625, 0.00592041015625, -0.01214599609375, 0.0048828125, -0.0048828125, 0.00830078125, -0.0201416015625, -0.0009002685546875, -0.0113525390625, 0.0264892578125, -0.01068115234375, 0.0162353515625, -0.00147247314453125, 0.037353515625, -0.0016937255859375, -0.0101318359375, ...

[ 17198, 50828, 32380, 2749, 76199, 44691, 35166, 2046, 2271, 22829, 173340, 831, 9790, 29481, 56, 73342, 15400, 2967, 12921, 21917, 26518, 6275, 48909, 148431, 10176, 5773, 3917, 88303, 23, 257 ]

[ 0.1171875, 0.16650390625, 0.2100830078125, 0.2041015625, 0.1153564453125, 0.19775390625, 0.1873779296875, 0.05120849609375, 0.06280517578125, 0.2000732421875, 0.1265869140625, 0.0103759765625, 0.071533203125, 0.136962890625, 0.08447265625, 0.07037353515625, 0.071044921875, 0.062255...

embed

65226269_c0

65226269

python

0

Title: Find if value is max for previous rows Problem title: Find if value is max for previous rows Tags: pandas, python Problem: Find if value is max for previous rows Code signals: Find, is_max, NaN

Find if value is max for previous rows Find if value is max for previous rows pandas python Find is_max NaN Find if value is max for previous rows This is my DataFrame: I want to create new bool column with values True or False. This depends on if current value is maximum for previous 4 rows (larger than values in 4 pr...

[ 0.00909423828125, 0.0177001953125, 0.0244140625, 0.0556640625, -0.02197265625, -0.00616455078125, 0.0262451171875, 0.00677490234375, 0.0050048828125, 0.0390625, -0.00970458984375, 0.0023345947265625, 0.0128173828125, -0.01055908203125, 0.007781982421875, -0.007171630859375, 0.0016250...

[ 26040, 2174, 34292, 83, 18389, 100, 96362, 15555, 2652, 1124, 17198, 50828, 24084, 353, 839, 11809, 108386, 282, 3444, 28282, 3525, 142484, 3365, 316, 142424, 87599, 707, 22225, 184, 56566, 43581, 38132, 201, 1505, 3501, 140992 ]

[ 0.1209716796875, 0.1290283203125, 0.18603515625, 0.138427734375, 0.212646484375, 0.08258056640625, 0.1395263671875, 0.1763916015625, 0.064208984375, 0.0657958984375, 0.043914794921875, 0.1124267578125, 0.2181396484375, 0.12841796875, 0.1351318359375, 0.02960205078125, 0.1331787109375...

embed

54557262_c0

54557262

python

0

Title: Apply function to each n rows pandas Problem title: Apply function to each n rows pandas Tags: python, pandas Problem: Apply function to each n rows pandas Code signals: Apply, new_col, avg_col

Apply function to each n rows pandas Apply function to each n rows pandas python pandas Apply new_col avg_col Apply function to each n rows pandas I have a pandas df col which looks like the following: I would like to output a new_col with the % change from the initial value, resetting every fourth value, then a final ...

[ 0.00396728515625, -0.01275634765625, 0.012939453125, 0.0238037109375, 0.004058837890625, -0.005096435546875, 0.0274658203125, 0.00148773193359375, 0.023681640625, 0.0016326904296875, 0.0014495849609375, -0.03955078125, 0.00185394287109375, 0.00087738037109375, -0.00225830078125, 0.0144...

[ 5659, 538, 32354, 47, 12638, 653, 15555, 7, 2652, 1124, 17198, 50828, 3525, 8447, 185, 177, 454, 104, 420, 3365, 33342, 1884, 25632, 2806, 140992, 678, 70, 1745, 15549, 1295, 61475, 34292, 456, 89840, 11907, 22759, 927, 2704, 201, 13315, ...

[ 0.174072265625, 0.101806640625, 0.1920166015625, 0.1419677734375, 0.1790771484375, 0.1195068359375, 0.2305908203125, 0.0340576171875, 0.128662109375, 0.1495361328125, 0.04736328125, 0.1103515625, 0.1240234375, 0.20947265625, 0.189697265625, 0.116455078125, 0.019500732421875, 0.0141...

embed

72526726_c0

72526726

python

0

Title: how I install pandas? Problem title: how I install pandas? Tags: python, pandas, installation Problem: how I install pandas? I have face with this problem wheni tries to install pandas library.

how I install pandas? how I install pandas? python pandas installation how I install pandas? I have face with this problem wheni tries to install pandas library.

[ 0.0185546875, 0.0019073486328125, 0.0030670166015625, 0.001373291015625, -0.000823974609375, -0.007354736328125, 0.0111083984375, -0.018798828125, -0.026123046875, 0.006683349609375, 0.0038299560546875, -0.057373046875, -0.0087890625, -0.00836181640625, 0.0006103515625, 0.010009765625,...

[ 3642, 87, 20600, 2652, 1124, 32, 17198, 50828, 59720, 765, 2577, 678, 903, 2967, 1927, 35773, 1294 ]

[ 0.1143798828125, 0.12042236328125, 0.2257080078125, 0.181640625, 0.20263671875, 0.0148468017578125, 0.0555419921875, 0.1226806640625, 0.1312255859375, 0.02545166015625, 0.0706787109375, 0.032623291015625, 0.0295562744140625, 0.08221435546875, 0.045806884765625, 0.10064697265625, 0.02...

embed

77748909_c0

77748909

python

0

Title: Python truncate float with 19 chars Problem title: Python truncate float with 19 chars Tags: floating-point, python Problem: Python truncate float with 19 chars Code signals: Python, json.loads

Python truncate float with 19 chars Python truncate float with 19 chars floating-point python Python json.loads Python truncate float with 19 chars I'm testing a simple validation program with some fields in float, but I have found a strange issue with these values. If chars are 18 python represents them as normal, at ...

[ 0.01141357421875, 0.00970458984375, -0.028564453125, -0.01904296875, 0.003204345703125, -0.007659912109375, -0.002655029296875, -0.00013828277587890625, 0.0079345703125, 0.000751495361328125, -0.0186767578125, -0.0006561279296875, -0.0140380859375, 0.007537841796875, 0.005767822265625, ...

[ 145581, 14617, 19, 33478, 21917, 257, 678, 953, 21441, 26518, 38496, 17198, 50828, 1647, 1681, 5, 63033, 134234, 8781, 44622, 1363, 1528, 44457, 14037, 114453, 31089, 6097, 142424, 4263, 621, 543, 33636, 3638, 99, 199083, 111, 38310, 748, 8...

[ 0.258544921875, 0.197998046875, 0.1551513671875, 0.1849365234375, 0.221923828125, 0.1070556640625, 0.06329345703125, 0.247314453125, 0.2208251953125, 0.013092041015625, 0.110595703125, 0.12158203125, 0.1815185546875, 0.1202392578125, 0.2083740234375, 0.0218505859375, 0.223388671875, ...

embed

29882567_c0

29882567

python

0

Title: How can i make a set in my list in python? Problem title: How can i make a set in my list in python? Tags: set, list, python Problem: How can i make a set in my list in python? Code signals: How

How can i make a set in my list in python? How can i make a set in my list in python? set list python How How can i make a set in my list in python? I need to make this turn into this

[ -0.004669189453125, 0.004364013671875, 0.0181884765625, 0.005462646484375, 0.00185394287109375, -0.0125732421875, -0.010986328125, 0.0098876953125, 0.00156402587890625, -0.01361083984375, -0.01708984375, -0.01214599609375, 0.01806640625, 0.00592041015625, -0.0400390625, 0.0145874023437...

[ 11249, 831, 17, 3249, 10, 5423, 23, 759, 5303, 17198, 50828, 3871, 15504, 3934, 903 ]

[ 0.0677490234375, 0.09979248046875, 0.07818603515625, 0.158203125, 0.0928955078125, 0.278564453125, 0.104248046875, 0.084716796875, 0.239013671875, 0.1114501953125, 0.1695556640625, 0.03973388671875, 0.0823974609375, 0.0662841796875, 0.0859375 ]

embed

31349322_c0

31349322

python

0

Title: Transpose Pandas Panel to Columns Problem title: Transpose Pandas Panel to Columns Tags: python, pandas Problem: Transpose Pandas Panel to Columns Code signals: Transpose, Pandas, Panel, Columns

Transpose Pandas Panel to Columns Transpose Pandas Panel to Columns python pandas Transpose Pandas Panel Columns Transpose Pandas Panel to Columns Drawing a blank on this, it should be easy. I've got a panel like so: Looking to end up with a DataFrame like this: I can't figure out how to transform this data in a vector...

[ 0.002685546875, -0.01043701171875, -0.0208740234375, 0.0184326171875, 0.0032501220703125, -0.0269775390625, -0.0262451171875, -0.01190185546875, -0.007110595703125, 0.0115966796875, 0.0019683837890625, 0.0078125, 0.00555419921875, 0.0233154296875, -0.0062255859375, 0.01611328125, -0....

[ 11062, 78381, 89308, 7, 84291, 47, 233987, 17198, 50828, 2652, 1124, 18186, 14775, 44237, 98, 903, 5608, 23468, 16138, 1884, 221, 157268, 3564, 11809, 108386, 831, 26366, 3642, 27198, 2053, 173, 18770, 3917, 4358, 51484 ]

[ 0.1441650390625, 0.1331787109375, 0.1773681640625, 0.053253173828125, 0.2171630859375, 0.1026611328125, 0.2255859375, 0.045684814453125, 0.0830078125, 0.067138671875, 0.05767822265625, 0.087158203125, 0.005950927734375, 0.141845703125, 0.00213623046875, 0.0430908203125, 0.01962280273...

embed

15502558_c0

15502558

python

0

Title: day is out of range for month python Problem title: day is out of range for month python Tags: python, pandas Problem: day is out of range for month python Code signals: DateParseError, Out, NaN

day is out of range for month python day is out of range for month python python pandas DateParseError Out NaN day is out of range for month python 'reobsmaf' is a DataFrame as below: 'remodmaf' is another DataFrame as below: now I want to compare these two DataFrames, if which record's 'mean' value in reobsmaf equals ...

[ 0.0277099609375, -0.018798828125, 0.00096893310546875, 0.0301513671875, -0.007293701171875, 0.01104736328125, -0.004425048828125, 0.00958251953125, -0.006072998046875, 0.05419921875, -0.00836181640625, -0.0115966796875, 0.01324462890625, -0.009765625, 0.0203857421875, -0.00531005859375...

[ 5155, 83, 1810, 111, 37457, 100, 31150, 17198, 50828, 2652, 1124, 25512, 28636, 184, 18468, 13538, 353, 839, 107, 102492, 192, 420, 11809, 108386, 282, 13415, 69101, 6626, 17164, 66, 34292, 456, 105950, 4458, 49146, 71, 40101, 138804, 13152...

[ 0.194580078125, 0.09326171875, 0.19140625, 0.196533203125, 0.2489013671875, 0.1290283203125, 0.1998291015625, 0.08837890625, 0.16064453125, 0.0828857421875, 0.1082763671875, 0.0687255859375, 0.0826416015625, 0.01092529296875, 0.087646484375, 0.1505126953125, 0.1309814453125, 0.1815...

embed

15783991_c0

15783991

python

0

Title: Python: list in tuple Problem title: Python: list in tuple Tags: python-2.7, list, tuples, python Problem: Python: list in tuple Code signals: Python, postal_code, Allerkanal, grade2, python-2.7

Python: list in tuple Python: list in tuple python-2.7 list tuples python Python postal_code Allerkanal grade2 python-2.7 Python: list in tuple I have data from open street maps in the format: A single file contains 1000s of similar way ids. I want to store these way ids in a list/tuple, but the problem is that the con...

[ 0.0269775390625, 0.0181884765625, -0.00701904296875, 0.042236328125, 0.01434326171875, -0.004241943359375, -0.01104736328125, 0.01031494140625, 0.006561279296875, 0.00830078125, -0.000568389892578125, -0.004547119140625, -0.00726318359375, 0.034423828125, -0.035888671875, 0.01092529296...

[ 145581, 12, 5303, 23, 370, 8705, 17198, 50828, 5428, 966, 99726, 67808, 40899, 57204, 82450, 44000, 304, 87, 765, 2053, 1295, 9803, 48800, 22288, 9384, 11001, 11435, 70541, 4382, 21373, 3917, 3447, 3444, 4343, 6097, 10, 64, 458, 2967, 109...

[ 0.245361328125, 0.0277557373046875, 0.238037109375, 0.1456298828125, 0.1639404296875, 0.251953125, 0.1153564453125, 0.1593017578125, 0.0692138671875, 0.084716796875, 0.2392578125, 0.1500244140625, 0.1331787109375, 0.160888671875, 0.2220458984375, 0.160888671875, 0.04779052734375, 0...

embed

18859312_c0

18859312

python

0

Title: extra decimals in numpy array? Problem title: extra decimals in numpy array? Tags: python, numpy Problem: extra decimals in numpy array? Code signals: numpy, np.array, nb1, nb2, nb3, np.asscalar

extra decimals in numpy array? extra decimals in numpy array? python numpy numpy np.array nb1 nb2 nb3 np.asscalar extra decimals in numpy array? Let's say I have one list of floats and a numpy array that I wish to zip: Why am I getting all those decimals? Is there a way to make the numpy floats behave like python float...

[ 0.027099609375, 0.006683349609375, -0.01708984375, -0.0064697265625, 0.006011962890625, -0.0027618408203125, -0.00323486328125, 0.0089111328125, 0.0218505859375, 0.03515625, -0.018310546875, -0.00885009765625, 0.003692626953125, 0.0107421875, -0.008544921875, -0.009033203125, 0.00115...

[ 4173, 32380, 67553, 23, 13269, 6493, 10298, 53, 32, 17198, 50828, 25037, 19305, 275, 418, 304, 363, 162, 16275, 320, 1632, 5303, 21917, 9821, 136, 32599, 47, 68330, 44084, 444, 20949, 756, 8382, 3917, 3249, 68991, 1884, 74481, 5256, 19505...

[ 0.1917724609375, 0.195068359375, 0.2176513671875, 0.057830810546875, 0.1558837890625, 0.2208251953125, 0.1944580078125, 0.1416015625, 0.029266357421875, 0.09197998046875, 0.1534423828125, 0.10986328125, 0.1318359375, 0.050201416015625, 0.009918212890625, 0.035186767578125, 0.06903076...

embed

62443471_c0

62443471

python

0

Title: Determine the difference between time Problem title: Determine the difference between time Tags: python, pandas Problem: Determine the difference between time Code signals: Determine, Date, Time

Determine the difference between time Determine the difference between time python pandas Determine Date Time Determine the difference between time I have a dataframe that consists of date and time column like showed below, with the date format (MM/DD/YYYY); I want to generate another column that shows the difference b...

[ 0.0235595703125, 0.01483154296875, 0.00074005126953125, 0.03759765625, -0.007476806640625, -0.03466796875, -0.000598907470703125, 0.0164794921875, -0.003814697265625, 0.002166748046875, 0.01068115234375, -0.0120849609375, -0.00836181640625, 0.015869140625, -0.0196533203125, 0.01953125,...

[ 262, 30524, 13, 70, 60212, 17721, 1733, 17198, 50828, 2652, 1124, 25512, 19055, 87, 765, 2053, 160328, 58055, 111, 5622, 136, 3365, 316, 19, 1884, 168360, 35064, 9384, 25590, 64, 24057, 108354, 3444, 139392, 15700, 45831, 12638, 127887, 560...

[ 0.1004638671875, 0.19189453125, 0.1190185546875, 0.07666015625, 0.25244140625, 0.20458984375, 0.2332763671875, 0.109619140625, 0.16796875, 0.134521484375, 0.16552734375, 0.1639404296875, 0.218505859375, 0.01171875, 0.000396728515625, 0.07452392578125, 0.1832275390625, 0.04400634765...

embed

62579010_c0

62579010

python

0

Title: Mirror a numpy ndarray Problem title: Mirror a numpy ndarray Tags: array-broadcasting, arrays, python, numpy Problem: Mirror a numpy ndarray Code signals: Mirror, np.array, np.tril, np.triu, A.T

Mirror a numpy ndarray Mirror a numpy ndarray array-broadcasting arrays python numpy Mirror np.array np.tril np.triu A.T Mirror a numpy ndarray I have a numpy Ndarray of dimensions (N * N * M) and want to mirror it over the main diagonal efficiently. For N=1 I did the following: However this ( np.tril and np.triu ) doe...

[ 0.0218505859375, -0.00151824951171875, 0.0274658203125, 0.00072479248046875, 0.000469207763671875, -0.00909423828125, 0.00909423828125, 0.0115966796875, 0.0177001953125, 0.00872802734375, 0.0018768310546875, 0.0208740234375, 0.0087890625, 0.0196533203125, -0.016845703125, -0.0186767578...

[ 150481, 10, 13269, 6493, 17603, 7092, 10298, 53, 6369, 712, 55741, 17198, 50828, 25037, 19305, 15601, 3996, 34, 541, 1506, 158208, 839, 276, 3444, 47, 191551, 442, 645, 5201, 207997, 93766, 33000, 18, 4488, 77546, 25647, 54, 6056, 100, 40...

[ 0.329833984375, 0.05145263671875, 0.1263427734375, 0.16259765625, 0.1156005859375, 0.25537109375, 0.129638671875, 0.0235748291015625, 0.010528564453125, 0.003173828125, 0.0816650390625, 0.06341552734375, 0.1171875, 0.14599609375, 0.1363525390625, 0.173583984375, 0.1317138671875, 0....

embed

62601935_c0

62601935

python

0

Title: plotting the data from csv file in python Problem title: plotting the data from csv file in python Tags: plot, python, pandas Problem: plotting the data from csv file in python Code signals: csv

plotting the data from csv file in python plotting the data from csv file in python plot python pandas csv plotting the data from csv file in python

[ 0.01129150390625, 0.0247802734375, 0.006744384765625, -0.00543212890625, 0.0115966796875, 0.01214599609375, 0.00762939453125, -0.00186920166015625, -0.00604248046875, 0.02392578125, -0.00994873046875, -0.04931640625, -0.00665283203125, 0.01263427734375, -0.01043701171875, 0.01489257812...

[ 23577, 1916, 2053, 1295, 20763, 334, 11435, 23, 17198, 50828, 70, 2652, 1124 ]

[ 0.1593017578125, 0.064208984375, 0.115234375, 0.1051025390625, 0.11572265625, 0.221923828125, 0.138671875, 0.02813720703125, 0.09686279296875, 0.140869140625, 0.03167724609375, 0.0882568359375, 0.104736328125 ]

embed

62732375_c0

62732375

python

0

Title: Sort by Frequency with groupby Problem title: Sort by Frequency with groupby Tags: python, pandas Problem: Sort by Frequency with groupby Code signals: Sort, Frequency, Date, file.groupby, Users

Sort by Frequency with groupby Sort by Frequency with groupby python pandas Sort Frequency Date file.groupby Users Sort by Frequency with groupby I would need to sort by Frequency the following dataset: created by file.groupby(['Date']).count()['Users'] . How can I add a name to the Frequency (currently having no name)...

[ 0.03759765625, 0.000713348388671875, -0.0106201171875, 0.00171661376953125, -0.0296630859375, -0.005859375, 0.004669189453125, 0.009521484375, 0.00946044921875, -0.0028839111328125, -0.0142822265625, 0.02001953125, 0.004058837890625, 0.006378173828125, -0.018310546875, -0.0000557899475...

[ 53666, 390, 21612, 944, 27771, 678, 21115, 1272, 17198, 50828, 2652, 1124, 25512, 11435, 51588, 53400, 3871, 12096, 25632, 2053, 3509, 75935, 86291, 71013, 1062, 7, 1314, 15190, 9351, 163812, 19441, 110, 3365, 316 ]

[ 0.2205810546875, 0.140380859375, 0.20849609375, 0.1761474609375, 0.131591796875, 0.09674072265625, 0.1907958984375, 0.2412109375, 0.0823974609375, 0.143798828125, 0.1268310546875, 0.14697265625, 0.09686279296875, 0.13818359375, 0.180908203125, 0.2252197265625, 0.0301055908203125, 0...

embed

59456591_c0

59456591

python

0

Title: Delete zero rows from np.array Problem title: Delete zero rows from np.array Tags: python, arrays, image, numpy Problem: Delete zero rows from np.array Code signals: np.array, Delete, Image.open

Delete zero rows from np.array Delete zero rows from np.array python arrays image numpy np.array Delete Image.open Delete zero rows from np.array I need to load an image, convert it into a np.array and then delete all rows that contains all zeros. For load the image I use: The image is a B/W image where the black is 0 ...

[ -0.0030975341796875, 0.021728515625, -0.00982666015625, 0.02783203125, -0.006072998046875, -0.00823974609375, 0.052490234375, -0.005615234375, -0.00089263916015625, 0.031494140625, 0.01239013671875, 0.01214599609375, -0.007171630859375, 0.014892578125, 0.00060272216796875, -0.005004882...

[ 262, 46485, 45234, 15555, 7, 1295, 25037, 19305, 53, 17198, 50828, 10298, 4778, 29569, 13269, 6493, 22710, 59636, 3871, 72367, 96760, 3934, 5, 154109, 756, 70541, 4527, 335, 64, 1456, 22556, 757, 70, 35011, 615, 1884, 2046, 32354, 903, 71...

[ 0.10986328125, 0.18115234375, 0.2364501953125, 0.246826171875, 0.0699462890625, 0.09381103515625, 0.1883544921875, 0.171142578125, 0.06158447265625, 0.0325927734375, 0.09625244140625, 0.13427734375, 0.003387451171875, 0.14697265625, 0.1129150390625, 0.1536865234375, 0.176025390625, ...

embed

65554312_c0

65554312

python

0

Title: pandas - groupby multiple values? Problem title: pandas - groupby multiple values? Tags: pandas, python Problem: pandas - groupby multiple values? Code signals: user_id, call_date, calls.groupby

pandas - groupby multiple values? pandas - groupby multiple values? pandas python user_id call_date calls.groupby pandas - groupby multiple values? i have a dataframe that contains cell phone minutes usage logged by date of call and duration. It looks like this (30 row sample): I want to group by user_id AND call_date ...

[ 0.0174560546875, -0.01708984375, -0.00133514404296875, 0.013671875, -0.0123291015625, 0.009765625, 0.01385498046875, -0.01275634765625, 0.03564453125, -0.01397705078125, -0.0242919921875, 0.00811767578125, 0.0019378662109375, 0.0017852783203125, -0.00885009765625, -0.0135498046875, 0...

[ 2652, 1124, 20, 21115, 1272, 48716, 142424, 17198, 50828, 38937, 454, 532, 11782, 17489, 7, 51588, 2053, 160328, 70541, 38750, 24089, 14633, 127689, 73088, 5622, 30494, 33342, 38774, 15555, 121413, 3444, 47, 390, 48762, 20654, 69236, 74481, 1...

[ 0.1572265625, 0.185302734375, 0.01788330078125, 0.232666015625, 0.1700439453125, 0.229248046875, 0.2069091796875, 0.087890625, 0.14794921875, 0.16162109375, 0.01165771484375, 0.152099609375, 0.181640625, 0.1356201171875, 0.00640869140625, 0.1785888671875, 0.038909912109375, 0.15832...

embed

53777224_c4

53777224

python

4

lpVWR2dW9IWWJqeDZvRmI3VU9Pc1lpZXZGWGJxejQ1alNXbGVXUGJqaEpORU9LNFJITVh0N3IwR1E0bUE9PSIsIm1hYyI6IjUyODU3MWIxYjM3MGU3M2E0YjI1YzM2MzNmNDc5ZDMzZDdjYTg1ZWMxYWU2ODJjY2JlMTJmZWJlNmUyZDkyNWMifQ, MYEMAIL, MYPASS

[ 0.00421142578125, 0.007598876953125, -0.0289306640625, 0.0012969970703125, 0.0023193359375, 0.018310546875, -0.0284423828125, -0.01123046875, 0.0137939453125, 0.0162353515625, 0.0191650390625, 0.0203857421875, -0.004791259765625, -0.00994873046875, -0.0255126953125, 0.002838134765625, ...

[ 96, 254, 856, 115055, 304, 71, 1456, 1126, 568, 95162, 1375, 11567, 80633, 363, 51947, 238, 26775, 102550, 724, 1334, 2737, 289, 166989, 75166, 5498, 647, 17759, 73493, 33205, 5343, 127, 839, 434, 1052, 37066, 138823, 61637, 418, 1723, 53...

[ 0.096435546875, 0.07403564453125, 0.1187744140625, 0.1607666015625, 0.055755615234375, 0.0299072265625, 0.0445556640625, 0.086181640625, 0.024932861328125, 0.0875244140625, 0.0595703125, 0.056182861328125, 0.039337158203125, 0.050994873046875, 0.1103515625, 0.0275115966796875, 0.1046...

embed

5652278_c0

5652278

python

0

Title: How to check if a deque is empty Problem title: How to check if a deque is empty Tags: python Problem: How to check if a deque is empty Is try-catch the only method to do that? Code signals: How

How to check if a deque is empty How to check if a deque is empty python How How to check if a deque is empty Is try-catch the only method to do that?

[ 0.008544921875, 0.006011962890625, 0.0081787109375, 0.005401611328125, -0.007354736328125, 0.00185394287109375, 0.02294921875, -0.025146484375, -0.00023174285888671875, 0.005523681640625, 0.001007080078125, -0.000614166259765625, 0.00616455078125, 0.001312255859375, -0.0115966796875, 0...

[ 12765, 2174, 8, 944, 83, 201505, 11249, 47, 10, 17198, 50828, 9790, 4460, 206, 4734, 55300 ]

[ 0.1845703125, 0.117431640625, 0.21875, 0.2191162109375, 0.1119384765625, 0.2421875, 0.03924560546875, 0.052276611328125, 0.05694580078125, 0.05963134765625, 0.1395263671875, 0.1123046875, 0.100830078125, 0.06109619140625, 0.0254974365234375, 0.04840087890625 ]

embed

74074167_c2

74074167

python

2

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] Thanks, EDMC. Code signals: functional, How, Python

[ 0.01513671875, 0.0167236328125, -0.0096435546875, 0.021240234375, 0.002227783203125, 0.01123046875, 0.0157470703125, 0.01190185546875, 0.003387451171875, 0.01312255859375, -0.0028533935546875, -0.035888671875, 0.0084228515625, 0.033447265625, -0.01129150390625, -0.00994873046875, 0.0...

[ 757, 4, 268, 22362, 44444, 32557, 5, 28864, 26073, 7, 12, 123309, 11249, 145581 ]

[ 0.2158203125, 0.068359375, 0.042633056640625, 0.09112548828125, 0.08624267578125, 0.17919921875, 0.00799560546875, 0.2091064453125, 0.2415771484375, 0.034149169921875, 0.0208892822265625, 0.22900390625, 0.19921875, 0.26318359375 ]

embed

21380395_c0

21380395

python

0

Title: Behavior of "+=" operator in python Problem title: Behavior of "+=" operator in python Tags: python Problem: Behavior of "+=" operator in python Code signals: Behavior, Output

Behavior of "+=" operator in python Behavior of "+=" operator in python python Behavior Output Behavior of "+=" operator in python Why does the output for following code differs in python, But if we replace B += [4] to B = B + [4] the output changes to: Please explain.

[ 0.0233154296875, 0.02099609375, 0.0230712890625, 0.0341796875, 0.0081787109375, 0.011474609375, -0.00579833984375, 0.005706787109375, -0.0002765655517578125, 0.01287841796875, 0.025146484375, -0.017333984375, 0.01373291015625, 0.0390625, 0.00179290771484375, -0.007049560546875, 0.001...

[ 873, 98409, 748, 41502, 1328, 1369, 1230, 39933, 23, 17198, 50828, 111, 13538, 7077, 22422, 44084, 14602, 140992, 25632, 18151, 129927, 7, 4966, 2174, 642, 91995, 335, 997, 59535, 47, 2203, 65572, 30607, 73342, 5 ]

[ 0.03179931640625, 0.1573486328125, 0.012969970703125, 0.0762939453125, 0.1923828125, 0.205078125, 0.0179443359375, 0.2274169921875, 0.082763671875, 0.12158203125, 0.195068359375, 0.041229248046875, 0.1182861328125, 0.06256103515625, 0.09356689453125, 0.05694580078125, 0.0178833007812...

embed

34720896_c0

34720896

python

0

Title: How to replace empty string in python Problem title: How to replace empty string in python Tags: csv, python, numpy Problem: How to replace empty string in python Code signals: How, Row, re.match

How to replace empty string in python How to replace empty string in python csv python numpy How Row re.match How to replace empty string in python I have a csv file and I read it into array, the original csv a 5-row, 8-column file with empty elements I read it into my code: So what I want to get is to replace all empt...

[ -0.0260009765625, -0.00714111328125, -0.000652313232421875, 0.034912109375, 0.0002613067626953125, -0.00604248046875, 0.0185546875, 0.00982666015625, 0.0030670166015625, 0.0693359375, -0.0107421875, -0.0120849609375, -0.01544189453125, 0.000514984130859375, 0.00897216796875, 0.00622558...

[ 11249, 47, 91995, 201505, 79315, 23, 17198, 50828, 20763, 334, 13269, 6493, 96190, 456, 5, 98753, 11435, 12301, 10298, 53, 8967, 15555, 15045, 8447, 316, 80854, 3934, 3444, 756, 5701, 14012, 68940, 678, 3789, 41872, 71, 62766, 959, 16750, ...

[ 0.040557861328125, 0.049285888671875, 0.1873779296875, 0.259521484375, 0.251708984375, 0.052642822265625, 0.11181640625, 0.1739501953125, 0.06585693359375, 0.1536865234375, 0.0595703125, 0.1239013671875, 0.1722412109375, 0.14453125, 0.0181427001953125, 0.2220458984375, 0.076110839843...

embed

17960099_c0

17960099

python

0

Title: How to build a multidimensional dictionary Problem title: How to build a multidimensional dictionary Tags: python, dictionary Problem: How to build a multidimensional dictionary Code signals: How

How to build a multidimensional dictionary How to build a multidimensional dictionary python dictionary How How to build a multidimensional dictionary

[ 0.01025390625, -0.000843048095703125, -0.027587890625, 0.01318359375, -0.00726318359375, 0.003936767578125, -0.004852294921875, -0.01348876953125, -0.00860595703125, -0.0257568359375, 0.0108642578125, -0.031494140625, 0.000728607177734375, 0.021240234375, -0.01220703125, 0.01123046875,...

[ 11249, 47, 45367, 6024, 157955, 45, 10763, 6635, 10, 17198, 50828 ]

[ 0.058685302734375, 0.07061767578125, 0.2060546875, 0.1488037109375, 0.232666015625, 0.1114501953125, 0.1875, 0.140380859375, 0.033447265625, 0.0823974609375, 0.1505126953125 ]

embed

19097791_c0

19097791

python

0

Title: Extracting each list of a lists Problem title: Extracting each list of a lists Tags: python, list Problem: Extracting each list of a lists Code signals: Extracting, list_sample, Z_level, XD1, XD2

Extracting each list of a lists Extracting each list of a lists python list Extracting list_sample Z_level XD1 XD2 Extracting each list of a lists I have the following list of lists: I'd like to extract each list and attribute it to another list such as: Is there a way to make this more efficiently? Thanks

[ 0.01031494140625, -0.0009765625, -0.0191650390625, 0.02978515625, -0.0022430419921875, 0.0264892578125, 0.001953125, 0.0147705078125, 0.0283203125, 0.031982421875, 0.005218505859375, -0.037841796875, 0.0146484375, 0.0037384033203125, -0.0322265625, 0.0177001953125, 0.0208740234375, ...

[ 31501, 238, 1916, 12638, 5303, 111, 7, 17198, 50828, 433, 33209, 567, 67919, 107097, 418, 304, 10, 70, 25632, 71, 1884, 47, 125663, 150380, 15700, 3917, 1286, 93766 ]

[ 0.185302734375, 0.0941162109375, 0.046417236328125, 0.1397705078125, 0.2227783203125, 0.0635986328125, 0.06451416015625, 0.0751953125, 0.12548828125, 0.096435546875, 0.1375732421875, 0.1102294921875, 0.1676025390625, 0.1041259765625, 0.0172271728515625, 0.056610107421875, 0.001647949...

embed

60635153_c0

60635153

python

0

Title: How to get total based on date range Problem title: How to get total based on date range Tags: pandas, python Problem: How to get total based on date range Code signals: How, Part, Date, Quantity

How to get total based on date range How to get total based on date range pandas python How Part Date Quantity How to get total based on date range I have two data frame Logic : Add Quantity from 02.01.2020 to next 3 days I am new to python pandas. Pls guide

[ 0.0020294189453125, 0.0081787109375, -0.0252685546875, 0.0242919921875, -0.01202392578125, -0.007110595703125, 0.0036773681640625, 0.0390625, 0.01141357421875, 0.01263427734375, -0.0045166015625, 0.01287841796875, -0.0019989013671875, 0.0011444091796875, 0.00848388671875, -0.0032348632...

[ 11249, 47, 2046, 3622, 35509, 98, 5622, 37457, 2652, 1124, 17198, 50828, 16995, 25512, 75344, 2481, 6626, 2053, 123789, 50592, 29117, 4648, 18065, 49409, 11737, 138, 13312, 3525, 29016, 17997 ]

[ 0.0838623046875, 0.102783203125, 0.1265869140625, 0.2354736328125, 0.1707763671875, 0.1387939453125, 0.1666259765625, 0.2308349609375, 0.0875244140625, 0.1156005859375, 0.07513427734375, 0.1368408203125, 0.1419677734375, 0.161376953125, 0.126708984375, 0.10040283203125, 0.04757690429...

embed

61838300_c0

61838300

python

0

Title: Function to return table of a number Problem title: Function to return table of a number Tags: python Problem: Function to return table of a number Code signals: table_of, Enter, Number, Number:2

Function to return table of a number Function to return table of a number python table_of Enter Number Number:2 Function to return table of a number I have tried below code to return a multiplication table for input number: This returns: What is the problem?

[ 0.00537109375, -0.01507568359375, -0.0123291015625, 0.0150146484375, -0.01373291015625, 0.029296875, 0.00933837890625, 0.001983642578125, 0.015869140625, -0.01348876953125, -0.017822265625, -0.00494384765625, -0.0247802734375, 0.041259765625, -0.0059814453125, 0.0208740234375, 0.0063...

[ 28670, 10763, 47, 30646, 23180, 111, 10, 14012, 17198, 50828, 4390, 60816, 103332, 304, 37842, 35064, 18151, 127664, 1363, 100, 107730, 3293, 4865, 2967 ]

[ 0.146240234375, 0.056365966796875, 0.100341796875, 0.2388916015625, 0.279296875, 0.1827392578125, 0.068359375, 0.1729736328125, 0.087158203125, 0.137451171875, 0.217041015625, 0.1470947265625, 0.120361328125, 0.0947265625, 0.0750732421875, 0.08544921875, 0.0792236328125, 0.14501953...

embed

58976942_c5

58976942

python

5

AG, FREQ, HARMON, RE11, RE12, RE13, RE14, RE15, RE16, RE21, RE22, RE23, RE24, RE25, RE26, RE31, RE32, RE33, RE34, RE35, RE36, RE41, RE42, RE43, RE44, RE45, RE46, RE51, RE52, RE53, RE54, RE55, RE56, RE61

[ -0.0235595703125, -0.0103759765625, -0.020263671875, 0.007293701171875, 0.02001953125, -0.017578125, -0.00138092041015625, -0.0087890625, 0.032470703125, 0.042236328125, 0.000579833984375, -0.018310546875, 0.022216796875, -0.0162353515625, -0.0038604736328125, 0.004638671875, 0.01367...

[ 24639, 4, 162821, 2737, 65641, 82707, 9069, 1662, 1530, 2681, 2592, 1837, 2485, 3117, 4015, 3742, 2357, 2588, 4046, 5016, 6460, 9185, 10289, 5843, 8659, 8894, 13023, 11548, 12465, 4633, 9271, 11703, 12744, 14226, 12338, 11663, 13683, 11540 ]

[ 0.2362060546875, 0.1124267578125, 0.2060546875, 0.2230224609375, 0.1727294921875, 0.240966796875, 0.199462890625, 0.203857421875, 0.1629638671875, 0.1697998046875, 0.1778564453125, 0.164306640625, 0.1712646484375, 0.1444091796875, 0.13427734375, 0.156005859375, 0.15478515625, 0.163...

embed

68399812_c0

68399812

python

0

Title: Convert GeoSeries to list of tuples Problem title: Convert GeoSeries to list of tuples Tags: python, geopandas Problem: Convert GeoSeries to list of tuples Code signals: Convert, GeoSeries, POINT

Convert GeoSeries to list of tuples Convert GeoSeries to list of tuples python geopandas Convert GeoSeries POINT Convert GeoSeries to list of tuples I have a GeoSeries as below. I would like to convert this into list of points, for example: How can I accomplish this in python? I am not sure how to get the POINT column ...

[ 0.0140380859375, -0.00616455078125, -0.00946044921875, 0.00089263916015625, -0.0208740234375, -0.0086669921875, 0.00994873046875, 0.0189208984375, 0.00970458984375, 0.0211181640625, 0.0184326171875, -0.00408935546875, -0.00714111328125, -0.0126953125, -0.01171875, 0.01495361328125, 0...

[ 1657, 11549, 30152, 138724, 7, 47, 5303, 111, 370, 99726, 17198, 50828, 20787, 85407, 8574, 59537, 87, 765, 237, 35064, 2806, 1884, 96760, 3934, 26847, 27781, 11249, 831, 163846, 903, 23, 9077, 3642, 2046, 70, 3365, 316, 5062, 75, 334, ...

[ 0.07373046875, 0.147705078125, 0.2100830078125, 0.26611328125, 0.14697265625, 0.0797119140625, 0.1939697265625, 0.10888671875, 0.171875, 0.26171875, 0.1129150390625, 0.1834716796875, 0.1322021484375, 0.179443359375, 0.17138671875, 0.17578125, 0.0089111328125, 0.00823974609375, 0....

embed

69350032_c0

69350032

python

0

Title: How to convert time string into hourly data? Problem title: How to convert time string into hourly data? Tags: python, date Problem: How to convert time string into hourly data? Code signals: How

How to convert time string into hourly data? How to convert time string into hourly data? python date How How to convert time string into hourly data? I have a pandas dataframe of energy demand vs. time: I need to convert the time column into hourly data. I know that Python has some tools that can convert dates directl...

[ 0.01043701171875, -0.01300048828125, -0.006622314453125, -0.00885009765625, -0.001953125, -0.0213623046875, 0.000858306884765625, 0.00738525390625, -0.00186920166015625, -0.01080322265625, -0.01336669921875, -0.013916015625, 0.003692626953125, 0.004547119140625, -0.0233154296875, -0.01...

[ 11249, 47, 96760, 1733, 79315, 3934, 56816, 538, 2053, 17198, 50828, 5622, 2652, 1124, 160328, 48302, 35968, 20209, 87, 3871, 3365, 316, 145581, 72977, 831, 112474, 105237, 4527, 3688, 23009 ]

[ 0.076416015625, 0.07330322265625, 0.1553955078125, 0.206298828125, 0.2451171875, 0.086181640625, 0.2130126953125, 0.166748046875, 0.18115234375, 0.0809326171875, 0.131103515625, 0.1326904296875, 0.0594482421875, 0.1029052734375, 0.1380615234375, 0.10791015625, 0.155517578125, 0.066...

embed

20478626_c0

20478626

python

0

Title: How to loop in the opposite order? Problem title: How to loop in the opposite order? Tags: python-3.x, python Problem: How to loop in the opposite order? Code signals: math, How, log10, python-3.x

How to loop in the opposite order? How to loop in the opposite order? python-3.x python math How log10 python-3.x How to loop in the opposite order? I am a beginner programmer. Here is my code: Its output is: I want it to be:

[ 0.0135498046875, 0.01904296875, -0.0234375, 0.015380859375, 0.01141357421875, 0.00823974609375, 0.018798828125, 0.01031494140625, 0.01251220703125, -0.0166015625, 0.0096435546875, -0.006927490234375, -0.0022735595703125, 0.005218505859375, 0.006591796875, -0.02294921875, -0.013183593...

[ 11249, 47, 40956, 23, 70, 198274, 12989, 17198, 50828, 8316, 425, 48909, 12684, 963, 1679, 77848, 18151, 140992, 83, 87, 3444, 186 ]

[ 0.1005859375, 0.09521484375, 0.227294921875, 0.12939453125, 0.047149658203125, 0.2376708984375, 0.1981201171875, 0.0660400390625, 0.1336669921875, 0.121826171875, 0.08551025390625, 0.090576171875, 0.1268310546875, 0.164794921875, 0.0282135009765625, 0.0875244140625, 0.07666015625, ...

embed

24392855_c0

24392855

python

0

Title: Python similar uniq -c command? Problem title: Python similar uniq -c command? Tags: linux, python, sorting, uniq Problem: Python similar uniq -c command? Code signals: Python, file.txt, os.system

Python similar uniq -c command? Python similar uniq -c command? linux python sorting uniq Python file.txt os.system Python similar uniq -c command? Does python have a command similar to the linux command: Where it sorts and calculates the frequency of a text file with integers on every new line, and will output in the ...

[ 0.00836181640625, 0.0108642578125, -0.000762939453125, -0.0106201171875, 0.00531005859375, -0.0091552734375, 0.0157470703125, -0.0108642578125, 0.0245361328125, -0.0247802734375, -0.04638671875, 0.04052734375, 0.0186767578125, 0.0145263671875, -0.0294189453125, -0.01513671875, -0.015...

[ 145581, 21373, 51, 24496, 20, 238, 75101, 11508, 6077, 17198, 50828, 12096, 214, 11435, 124326, 362, 16751, 765, 47, 74481, 12478, 944, 27771, 7986, 678, 892, 26255, 11907, 3525, 13315, 140992, 3173, 4460, 19 ]

[ 0.270263671875, 0.1580810546875, 0.0784912109375, 0.1951904296875, 0.0264434814453125, 0.1180419921875, 0.2333984375, 0.0914306640625, 0.08465576171875, 0.13720703125, 0.1737060546875, 0.2088623046875, 0.007720947265625, 0.1236572265625, 0.1827392578125, 0.050537109375, 0.10913085937...

embed

29553655_c0

29553655

python

0

Title: while loop not generating output Problem title: while loop not generating output Tags: python-3.x, python, while-loop Problem: while loop not generating output Code signals: a.endswith, python-3.x

while loop not generating output while loop not generating output python-3.x python while-loop a.endswith python-3.x while loop not generating output what is the problem with the following code: expected output:

[ 0.0247802734375, 0.0137939453125, -0.01397705078125, 0.0301513671875, -0.0140380859375, 0.0137939453125, 0.00579833984375, 0.007659912109375, 0.0028076171875, 0.024169921875, -0.000759124755859375, 0.01177978515625, -0.002471923828125, 0.03271484375, -0.011962890625, -0.01544189453125,...

[ 12960, 40956, 959, 12663, 1916, 140992, 17198, 50828, 8316, 425, 28354, 10, 3611, 76228, 2967, 25632, 18151, 84751 ]

[ 0.21337890625, 0.2142333984375, 0.131591796875, 0.196044921875, 0.07965087890625, 0.24609375, 0.0479736328125, 0.1280517578125, 0.08465576171875, 0.0975341796875, 0.1749267578125, 0.089111328125, 0.1168212890625, 0.1551513671875, 0.128173828125, 0.040283203125, 0.10382080078125, 0....

embed

32323972_c0

32323972

python

0

Title: How to extract data from this file? Problem title: How to extract data from this file? Tags: python, regex Problem: How to extract data from this file? Code signals: this, How, Block, a64ca2e58cc1

How to extract data from this file? How to extract data from this file? python regex this How Block a64ca2e58cc1 How to extract data from this file? I have a text file that contains the following: And I want to write a python program to extract keys and return them as follow: Which is equal with: How can I do that? I m...

[ 0.023681640625, 0.01470947265625, 0.0002765655517578125, 0.024658203125, 0.005279541015625, 0.0098876953125, 0.01806640625, 0.0244140625, 0.01483154296875, -0.0150146484375, -0.00616455078125, -0.005035400390625, -0.0174560546875, -0.00665283203125, -0.002716064453125, 0.005859375, 0...

[ 11249, 47, 125663, 2053, 1295, 903, 11435, 17198, 50828, 6835, 3355, 80231, 10, 13307, 408, 10057, 10060, 7986, 70541, 25632, 3444, 33022, 1528, 22799, 30646, 28960, 105950, 831, 54, 96391, 103510, 4527 ]

[ 0.120849609375, 0.1361083984375, 0.2403564453125, 0.1689453125, 0.15966796875, 0.130859375, 0.1983642578125, 0.057952880859375, 0.12451171875, 0.149658203125, 0.2017822265625, 0.208251953125, 0.0223236083984375, 0.14013671875, 0.0216827392578125, 0.109375, 0.01080322265625, 0.14245...

embed

34010857_c0

34010857

python

0

Title: Sort list containing both lists and scalars Problem title: Sort list containing both lists and scalars Tags: sorting, python Problem: Sort list containing both lists and scalars Code signals: Sort

Sort list containing both lists and scalars Sort list containing both lists and scalars sorting python Sort Sort list containing both lists and scalars I have a list of lists and scalars like this: which I need to sort by descending order of the first argument of the first list, like this: This doesn't work: sorted(a,k...

[ 0.01519775390625, 0.01055908203125, -0.00019073486328125, -0.017822265625, -0.020751953125, -0.00445556640625, -0.0052490234375, -0.0167236328125, 0.01446533203125, 0.017333984375, -0.0057373046875, -0.017578125, 0.003997802734375, 0.000347137451171875, -0.010986328125, -0.007659912109...

[ 53666, 5303, 70541, 15044, 136, 146232, 4295, 12096, 214, 17198, 50828, 3871, 47, 390, 60887, 12989, 5117, 10750, 18, 4488, 17497, 71, 11, 19770, 6492, 85, 1022, 2389, 27798, 3917, 163846 ]

[ 0.19287109375, 0.218505859375, 0.077880859375, 0.051788330078125, 0.051361083984375, 0.1982421875, 0.15283203125, 0.211669921875, 0.027099609375, 0.0667724609375, 0.1387939453125, 0.0450439453125, 0.005279541015625, 0.0025634765625, 0.147705078125, 0.1103515625, 0.04803466796875, 0...

embed

37306808_c0

37306808

python

0

Title: Optimizing writing equations for odeint Problem title: Optimizing writing equations for odeint Tags: scipy, python, odeint Problem: Optimizing writing equations for odeint Code signals: Optimizing

Optimizing writing equations for odeint Optimizing writing equations for odeint scipy python odeint Optimizing Optimizing writing equations for odeint I wrote the following code for a simple chemical network to be solved by odeint : As I'm expanding the size of the network, the number of equations and the length of eac...

[ 0.0145263671875, 0.016845703125, -0.01129150390625, -0.006591796875, 0.00010442733764648438, -0.00897216796875, -0.005523681640625, -0.002593994140625, -0.0015411376953125, 0.0203857421875, -0.0086669921875, 0.0003108978271484375, 0.01214599609375, -0.00048828125, 0.002716064453125, 0....

[ 43938, 84382, 32562, 28, 13722, 5256, 100, 67861, 4288, 13047, 6493, 17198, 50828, 54397, 25632, 18151, 8781, 165045, 33120, 86869, 390, 1301, 71062, 13267, 14012, 140909, 12638, 5490, 51312, 237, 3060, 114149, 5941, 7722, 132539, 2806, 1884, ...

[ 0.1966552734375, 0.0848388671875, 0.2008056640625, 0.0880126953125, 0.2362060546875, 0.05224609375, 0.0963134765625, 0.179443359375, 0.2568359375, 0.0972900390625, 0.1483154296875, 0.100830078125, 0.13671875, 0.0609130859375, 0.067138671875, 0.135986328125, 0.1044921875, 0.16284179...

embed

37780123_c0

37780123

python

0

Title: How to get similarity from LSA Problem title: How to get similarity from LSA Tags: python, sentence-similarity, similarity, lsa Problem: How to get similarity from LSA Code signals: LSA, How, Here

How to get similarity from LSA How to get similarity from LSA python sentence-similarity similarity lsa LSA How Here How to get similarity from LSA I am working on latent semantic analysis, i am trying to get similarity from 2 documents. I run my code of latent semantic analysis on Python and when i run it i get : How ...

[ -0.01519775390625, 0.020263671875, -0.0235595703125, 0.01092529296875, -0.0067138671875, -0.008544921875, 0.0035858154296875, 0.0091552734375, -0.006927490234375, -0.04052734375, 0.0093994140625, 0.0244140625, -0.0033416748046875, -0.01214599609375, -0.006591796875, -0.0012435913085937...

[ 11249, 47, 2046, 21373, 2481, 1295, 339, 6703, 17198, 50828, 149357, 62318, 320, 20845, 11853, 19161, 18, 484, 114137, 116, 60525, 18151, 109109, 145581, 11675, 7413, 903, 101935 ]

[ 0.0631103515625, 0.042755126953125, 0.111328125, 0.195068359375, 0.1435546875, 0.1441650390625, 0.1182861328125, 0.1995849609375, 0.0848388671875, 0.127197265625, 0.15673828125, 0.13916015625, 0.0943603515625, 0.16259765625, 0.0484619140625, 0.1077880859375, 0.022796630859375, 0.07...

embed

40190847_c0

40190847

python

0

Title: How do I remove all numbers? Problem title: How do I remove all numbers? Tags: python Problem: How do I remove all numbers? Code signals: How, SMITH, JOHNSON, WILLIAMS, JONES, BROWN, DAVIS, MILLER

How do I remove all numbers? How do I remove all numbers? python How SMITH JOHNSON WILLIAMS JONES BROWN DAVIS MILLER How do I remove all numbers? All numbers in this list need to be removed (the original is 88,779 lines long):

[ -0.00244140625, 0.017578125, -0.0322265625, 0.014892578125, 0.005157470703125, 0.005218505859375, 0.000041961669921875, 0.01953125, 0.01470947265625, 0.003143310546875, -0.009765625, -0.01806640625, -0.007110595703125, 0.016357421875, -0.00518798828125, 0.006195068359375, 0.006164550...

[ 11249, 54, 87, 87388, 756, 101935, 32, 17198, 50828, 95409, 841, 232105, 58627, 601, 13439, 21253, 36321, 84677, 108049, 84366, 70661, 20345, 3164, 23, 903, 5303, 3871, 47, 186, 184750, 2347, 7311, 83, 14073, 4, 104656, 124519, 4989, 2077 ]

[ 0.1307373046875, 0.095703125, 0.1339111328125, 0.271484375, 0.2171630859375, 0.26708984375, 0.026702880859375, 0.1158447265625, 0.1827392578125, 0.097900390625, 0.056549072265625, 0.0777587890625, 0.03955078125, 0.00030517578125, 0.032989501953125, 0.03570556640625, 0.020828247070312...

embed

4378786_c0

4378786

python

0

Title: Python exception in exception Problem title: Python exception in exception Tags: exception, python Problem: Python exception in exception Code signals: Python, self.loopingCall, self.log.exception

Python exception in exception Python exception in exception exception python Python self.loopingCall self.log.exception Python exception in exception How do you handle an exception thrown by an except clause in Python? If an exception happens in the logger, we're out. What are best practices to avoid that? Do you surro...

[ 0.04248046875, 0.04736328125, -0.0084228515625, 0.00286865234375, 0.031982421875, -0.004058837890625, 0.01397705078125, -0.0008087158203125, 0.008544921875, -0.0361328125, -0.005462646484375, 0.00162506103515625, -0.0172119140625, 0.00775146484375, 0.027587890625, -0.014892578125, -0...

[ 145581, 131527, 23, 17198, 50828, 15970, 28354, 214, 5584, 4867, 3355, 63928, 54, 398, 34831, 142, 104250, 19, 390, 40494, 70731, 13, 96276, 73088, 42, 642, 1810, 2965, 41361, 71864, 613, 67688, 9790, 19462, 46389, 165207, 434, 7844, 32354,...

[ 0.2391357421875, 0.255859375, 0.07568359375, 0.085693359375, 0.1212158203125, 0.096435546875, 0.1065673828125, 0.046234130859375, 0.097412109375, 0.120849609375, 0.100341796875, 0.1611328125, 0.0396728515625, 0.0159912109375, 0.147216796875, 0.03045654296875, 0.12841796875, 0.01762...

embed

50704363_c0

50704363

python

0

Title: Making a dictionary where key is a list Problem title: Making a dictionary where key is a list Tags: python Problem: Making a dictionary where key is a list Code signals: Making, my_dict, new_dict

Making a dictionary where key is a list Making a dictionary where key is a list python Making my_dict new_dict Making a dictionary where key is a list so given a list of dictionaries: and a list of keys in the dictionary for example [ 'a', 'b'] I am trying to make a list of dictionaries for both 'a' and 'b' for their r...

[ -0.004241943359375, 0.00138092041015625, -0.007171630859375, -0.022705078125, -0.00104522705078125, 0.015625, -0.004150390625, 0.01190185546875, 0.01422119140625, 0.0125732421875, 0.00433349609375, -0.0308837890625, 0.028076171875, 0.027587890625, -0.0279541015625, 0.000070571899414062...

[ 13676, 214, 45, 10763, 6635, 7440, 22799, 83, 10, 5303, 17198, 50828, 759, 61669, 3525, 221, 34475, 11, 10484, 275, 31577, 3249, 100, 15044, 136, 107013, 142424, 2704, 12996, 102337, 40099, 4358, 77947 ]

[ 0.09716796875, 0.0123291015625, 0.105224609375, 0.175537109375, 0.1473388671875, 0.0821533203125, 0.233642578125, 0.09112548828125, 0.056915283203125, 0.2061767578125, 0.067626953125, 0.126953125, 0.1290283203125, 0.19677734375, 0.1033935546875, 0.018341064453125, 0.001312255859375, ...

embed

65712349_c0

65712349

python

0

Title: Zero diagonal of a PyTorch tensor? Problem title: Zero diagonal of a PyTorch tensor? Tags: pytorch, diagonal, tensor, python Problem: Zero diagonal of a PyTorch tensor? Code signals: Zero, PyTorch

Zero diagonal of a PyTorch tensor? Zero diagonal of a PyTorch tensor? pytorch diagonal tensor python Zero PyTorch Zero diagonal of a PyTorch tensor? Is there a simple way to zero the diagonal of a PyTorch tensor? For example I have: And I want to get:

[ -0.00112152099609375, 0.0147705078125, -0.00177764892578125, 0.005889892578125, -0.00830078125, -0.00592041015625, 0.0038299560546875, 0.0135498046875, -0.0196533203125, 0.01397705078125, -0.01171875, -0.0130615234375, -0.0181884765625, 0.0157470703125, 0.00146484375, 0.006256103515625...

[ 83947, 207997, 111, 27512, 98722, 206, 1492, 4970, 32, 17198, 1290, 50828, 8781, 3917, 47, 45234, 70, 27781, 3444, 2046 ]

[ 0.1875, 0.2305908203125, 0.04229736328125, 0.1199951171875, 0.1805419921875, 0.137939453125, 0.13232421875, 0.1448974609375, 0.0142364501953125, 0.0523681640625, 0.1099853515625, 0.083984375, 0.059783935546875, 0.04315185546875, 0.038330078125, 0.2103271484375, 0.0107421875, 0.0047...

embed

74342527_c0

74342527

python

0

Title: Reshape a numpy array for a given time series Problem title: Reshape a numpy array for a given time series Tags: python Problem: Reshape a numpy array for a given time series Code signals: Reshape

Reshape a numpy array for a given time series Reshape a numpy array for a given time series python Reshape Reshape a numpy array for a given time series How do you arrange a numpy array of a time-series into a matrix with 24 hours on one side and number of days on the other side ? for example if I have a numpy array of...

[ 0.01904296875, 0.0247802734375, 0.000690460205078125, -0.0126953125, 0.00616455078125, -0.01806640625, -0.00360107421875, 0.025390625, 0.020751953125, 0.01104736328125, 0.005767822265625, -0.031982421875, 0.005523681640625, 0.0172119140625, -0.045166015625, 0.01275634765625, 0.023925...

[ 853, 2420, 1081, 13269, 6493, 10298, 53, 100, 34475, 1733, 36549, 17198, 50828, 11249, 54, 398, 137356, 32832, 3934, 50944, 425, 744, 21974, 5609, 13312, 3789, 52768, 142424, 72134, 138, 10979, 201, 17357, 151159, 86658, 1105, 5, 115700, 30...

[ 0.1422119140625, 0.254638671875, 0.1522216796875, 0.1209716796875, 0.182373046875, 0.1884765625, 0.136962890625, 0.045989990234375, 0.058746337890625, 0.131591796875, 0.187255859375, 0.0904541015625, 0.1474609375, 0.03460693359375, 0.02294921875, 0.00006103515625, 0.220458984375, 0...

embed

75645581_c5

75645581

python

5

0.01921212, 0.01907071, 0.01921212, 0.01907071, 0.01921212, 0.02062626, 0.02076768, 0.01878788, 0.01892929, 0.02034343, 0.02048485, 0.02006061, 0.02020202, 0.01793939, Code signals: a, Creating, np.array

[ 0.0174560546875, -0.005340576171875, -0.0152587890625, 0.017822265625, 0.014892578125, -0.005859375, 0.01397705078125, 0.0030670166015625, 0.032958984375, -0.0024261474609375, -0.01007080078125, -0.024169921875, 0.00836181640625, 0.000823974609375, -0.01202392578125, 0.00592041015625, ...

[ 182149, 12231, 1530, 4, 89678, 66951, 158367, 418, 6, 139652, 4046, 1549, 11835, 84453, 200439, 146406, 142180, 4235, 139911, 152697, 363, 9285, 114999, 22435, 9016, 49409, 143179, 156918, 9323, 28864, 26073, 7, 12, 10, 56781, 1916, 25037, 5,...

[ 0.2362060546875, 0.208984375, 0.1396484375, 0.095458984375, 0.1324462890625, 0.1123046875, 0.15478515625, 0.07373046875, 0.02142333984375, 0.1219482421875, 0.0885009765625, 0.0289459228515625, 0.04736328125, 0.091796875, 0.0849609375, 0.09063720703125, 0.0860595703125, 0.0678710937...

embed

76113780_c0

76113780

python

0

Title: What format is the RabbitMQ uptime? Problem title: What format is the RabbitMQ uptime? Tags: rabbitmq, python, time-format Problem: What format is the RabbitMQ uptime? Code signals: What, RabbitMQ

What format is the RabbitMQ uptime? What format is the RabbitMQ uptime? rabbitmq python time-format What RabbitMQ What format is the RabbitMQ uptime? I have a query which I am running: and I am getting back: What format is the field uptime in? How long is 69193749? Is that in milliseconds?

[ -0.013671875, 0.0289306640625, -0.001800537109375, 0.01214599609375, 0.0034332275390625, -0.003173828125, -0.0028228759765625, 0.0142822265625, -0.003814697265625, 0.0274658203125, 0.01446533203125, -0.00848388671875, 0.01019287109375, 0.01312255859375, -0.011474609375, 0.021240234375,...

[ 4865, 9384, 83, 70, 71916, 18, 594, 2737, 1257, 6032, 152131, 39, 864, 17198, 50828, 1733, 51727, 41, 1294, 51042, 4420, 44457, 23, 4989, 11937, 190891, 12977, 450, 8877, 191633 ]

[ 0.08001708984375, 0.235595703125, 0.06011962890625, 0.035736083984375, 0.1964111328125, 0.147216796875, 0.1510009765625, 0.2398681640625, 0.1453857421875, 0.2279052734375, 0.1663818359375, 0.1177978515625, 0.198486328125, 0.06072998046875, 0.1336669921875, 0.15185546875, 0.2172851562...

embed

26667277_c0

26667277

python

0

Title: Python - Raise Jenkins error Problem title: Python - Raise Jenkins error Tags: jenkins, python Problem: Python - Raise Jenkins error Code signals: Python, Raise, Jenkins, sys.exit, Error, Exception

Python - Raise Jenkins error Python - Raise Jenkins error jenkins python Python Raise Jenkins sys.exit Error Exception Python - Raise Jenkins error I have an script in Python and I need to raise an exception/error and stop the build with Jenkins if a problem occurs. I tried with everything: No matter what Jenkins keeps...

[ 0.00616455078125, 0.035400390625, -0.0068359375, -0.013671875, 0.00091552734375, -0.00634765625, -0.01031494140625, -0.0245361328125, -0.0096435546875, 0.0206298828125, 0.0128173828125, 0.0084228515625, -0.007537841796875, 0.009033203125, 0.0186767578125, 0.00335693359375, 0.00381469...

[ 145581, 9202, 13, 234339, 18499, 20, 7349, 875, 7, 17198, 50828, 954, 23399, 212059, 5443, 63928, 26499, 23, 3871, 138804, 131527, 64, 188800, 136, 7279, 45367, 678, 2174, 10, 2967, 74918, 37842, 26818, 438, 26866, 13695, 33976, 64457, 1036...

[ 0.277587890625, 0.234619140625, 0.139404296875, 0.31787109375, 0.2393798828125, 0.03411865234375, 0.10357666015625, 0.1907958984375, 0.033966064453125, 0.1063232421875, 0.10235595703125, 0.106689453125, 0.1636962890625, 0.1514892578125, 0.05853271484375, 0.126708984375, 0.1611328125,...

embed

30402005_c0

30402005

python

0

Title: Add specific amount to each column in pandas Problem title: Add specific amount to each column in pandas Tags: python, pandas Problem: Add specific amount to each column in pandas Code signals: Add

Add specific amount to each column in pandas Add specific amount to each column in pandas python pandas Add Add specific amount to each column in pandas I've got a DataFrame that looks like this: I've got a dictionary(or DataFrame) that looks like this: I want to reindex the DataFrame to the end of the month, like so: ...

[ 0.01171875, 0.01031494140625, -0.0181884765625, 0.01904296875, -0.0185546875, -0.00885009765625, 0.01336669921875, 0.007110595703125, 0.0035552978515625, 0.03515625, 0.007110595703125, -0.0179443359375, -0.0036773681640625, 0.028564453125, 0.00262451171875, 0.005767822265625, -0.0106...

[ 29117, 29458, 41170, 47, 12638, 3365, 316, 19, 23, 2652, 1124, 17198, 50828, 11809, 108386, 282, 33342, 1884, 903, 45, 10763, 6635, 3444, 456, 4711, 3564, 31150, 31577, 26366, 3917, 15190, 4382, 15555, 284, 1452, 202, 166, 58838, 237, 332...

[ 0.1488037109375, 0.2386474609375, 0.19482421875, 0.120361328125, 0.1473388671875, 0.166748046875, 0.17626953125, 0.1016845703125, 0.061859130859375, 0.1685791015625, 0.1815185546875, 0.05438232421875, 0.1124267578125, 0.068115234375, 0.1485595703125, 0.1112060546875, 0.0972900390625,...

embed

44375333_c0

44375333

python

0

Title: Largest product out of 4 in a grid Problem title: Largest product out of 4 in a grid Tags: python Problem: Largest product out of 4 in a grid Code signals: Largest, problem_11, largest_product_grid

Largest product out of 4 in a grid Largest product out of 4 in a grid python Largest problem_11 largest_product_grid Largest product out of 4 in a grid I'm doing some project euler problems to practice more. I am at problem 11 and I keep getting the wrong answer. Here is the list of lists: Here is the code: I'm pretty ...

[ -0.009033203125, 0.0247802734375, -0.00799560546875, 0.0047607421875, -0.0189208984375, -0.0087890625, -0.0145263671875, 0.007049560546875, 0.017578125, -0.0027618408203125, 0.01300048828125, 0.0157470703125, -0.01904296875, -0.0089111328125, -0.0115966796875, 0.0220947265625, -0.013...

[ 181268, 271, 12996, 1810, 201, 23, 120067, 10, 17198, 50828, 2967, 1662, 142105, 57877, 13452, 1175, 603, 44402, 41361, 99, 534, 13695, 44691, 35166, 5303, 18151, 28875, 9077, 442, 20594, 1286, 74481, 3501, 27117, 5701, 48909, 7730, 53333, ...

[ 0.1436767578125, 0.098388671875, 0.26904296875, 0.07275390625, 0.1671142578125, 0.0235595703125, 0.255859375, 0.007781982421875, 0.08990478515625, 0.166259765625, 0.21728515625, 0.16064453125, 0.1962890625, 0.259765625, 0.037933349609375, 0.10302734375, 0.144775390625, 0.0910034179...

embed

46238470_c0

46238470

python

0

Title: Python numpy linspace for small numbers Problem title: Python numpy linspace for small numbers Tags: numpy, python Problem: Python numpy linspace for small numbers Code signals: Python, np.linspace

Python numpy linspace for small numbers Python numpy linspace for small numbers numpy python Python np.linspace Python numpy linspace for small numbers So I have a little problem with linspace. I would like to generate an array of numbers like: [0.000001, 0.00001, 0.0001 , 0.001 ,0 .01 , 0.1] so I've tried following co...

[ 0.00057220458984375, -0.00927734375, -0.0101318359375, -0.005157470703125, -0.0140380859375, 0.0068359375, 0.034912109375, 0.004791259765625, 0.01336669921875, 0.0225830078125, -0.00017833709716796875, 0.00799560546875, 0.00091552734375, 0.01165771484375, 0.007781982421875, 0.007476806...

[ 145581, 13269, 6493, 11508, 65421, 100, 19336, 101935, 17198, 50828, 25037, 2397, 10176, 2967, 678, 2806, 1884, 139392, 10298, 53, 111, 37509, 188735, 89678, 34479, 4, 6746, 2389, 107754, 37842, 25632, 18151, 16750, 3501, 17569, 44116, 9384, ...

[ 0.250732421875, 0.162353515625, 0.1922607421875, 0.1796875, 0.263671875, 0.1060791015625, 0.203857421875, 0.184326171875, 0.120361328125, 0.131103515625, 0.16162109375, 0.152587890625, 0.06451416015625, 0.0792236328125, 0.0221405029296875, 0.00341796875, 0.07470703125, 0.1632080078...

embed

1141101_c0

1141101

python

0

Title: Read Block Data in Python? Problem title: Read Block Data in Python? Tags: python, file Problem: Read Block Data in Python? Code signals: Read, Block, Data, Python, ABC, Names, A-06, B-18, Starting

Read Block Data in Python? Read Block Data in Python? python file Read Block Data Python ABC Names A-06 B-18 Starting Read Block Data in Python? I have a problem reading data file: Code run in Python? I tried using readline() , readlines() functions but no result.

[ 0.0191650390625, 0.00799560546875, 0.006317138671875, 0.0081787109375, 0.0166015625, 0.0111083984375, 0.025146484375, -0.00628662109375, 0.013427734375, 0.0311279296875, -0.0020294189453125, -0.00946044921875, -0.00567626953125, -0.00897216796875, -0.00958251953125, -0.00567626953125, ...

[ 4764, 80231, 11809, 23, 145581, 32, 17198, 50828, 11435, 47457, 15757, 62, 104046, 335, 9444, 13794, 214, 87, 765, 2967, 16454, 2053, 28864, 11675, 37842, 17368, 12301, 2256, 132, 59801, 32354, 110, 16750, 5 ]

[ 0.2095947265625, 0.264404296875, 0.2060546875, 0.0897216796875, 0.294677734375, 0.0377197265625, 0.1077880859375, 0.159912109375, 0.14501953125, 0.1593017578125, 0.12939453125, 0.091796875, 0.1705322265625, 0.07080078125, 0.177490234375, 0.0682373046875, 0.00042724609375, 0.0025024...

embed

11691039_c0

11691039

python

0

Title: Error when installing pyodbc on opensuse Problem title: Error when installing pyodbc on opensuse Tags: opensuse, pyodbc, python Problem: Error when installing pyodbc on opensuse Code signals: Error

Error when installing pyodbc on opensuse Error when installing pyodbc on opensuse opensuse pyodbc python Error Error when installing pyodbc on opensuse

[ 0.029541015625, 0.0191650390625, -0.00445556640625, 0.0341796875, -0.0034332275390625, -0.0052490234375, -0.01226806640625, -0.0296630859375, -0.0225830078125, 0.025146484375, 0.002471923828125, -0.05419921875, 0.01324462890625, 0.004425048828125, -0.0106201171875, -0.01397705078125, ...

[ 212059, 3229, 20600, 17198, 2199, 65037, 98, 9803, 76167, 214, 50828 ]

[ 0.159912109375, 0.05804443359375, 0.1707763671875, 0.1514892578125, 0.1563720703125, 0.248291015625, 0.1287841796875, 0.126953125, 0.1951904296875, 0.039794921875, 0.1605224609375 ]

embed

17293041_c0

17293041

python

0

Title: Reading an infinite data stream Problem title: Reading an infinite data stream Tags: javascript, jquery, node.js, php, python Problem: Reading an infinite data stream Code signals: Reading, node.js

Reading an infinite data stream Reading an infinite data stream javascript jquery node.js php python Reading node.js Reading an infinite data stream I have a server that connects via tls and continuously outputs data in this format (when accessed through the terminal) I want to access this stream and push parts of this...

[ 0.01104736328125, 0.0101318359375, -0.00897216796875, -0.0198974609375, 0.0179443359375, -0.001708984375, 0.03173828125, 0.00023555755615234375, 0.01007080078125, -0.04931640625, 0.00897216796875, -0.03125, 0.00787353515625, 0.00933837890625, 0.00433349609375, -0.000009298324584960938,...

[ 104951, 54241, 13, 2053, 75973, 136951, 944, 110, 112, 28175, 3958, 50828, 10723, 37067, 75137, 7, 19686, 140992, 9384, 17203, 33949, 3444, 25944, 63920, 297, 429, 19732, 4028, 1295, 1369, 7673, 47, 31842, 4527, 17925, 831, 54, 26366, 3917 ...

[ 0.217041015625, 0.179443359375, 0.08251953125, 0.14306640625, 0.2386474609375, 0.1864013671875, 0.07830810546875, 0.0958251953125, 0.14013671875, 0.1494140625, 0.0557861328125, 0.070068359375, 0.100830078125, 0.090087890625, 0.1204833984375, 0.0706787109375, 0.049163818359375, 0.06...

embed

62536467_c0

62536467

python

0

Title: merge start and end each 2 lines python Problem title: merge start and end each 2 lines python Tags: python Problem: merge start and end each 2 lines python Code signals: contig1, contig2, file.bed

merge start and end each 2 lines python merge start and end each 2 lines python python contig1 contig2 file.bed merge start and end each 2 lines python I have a bed file like this: Am I'm trying to get this output: It's basic at each 2 lines, pick the firs column of line 1, the second column of line 1 and the third col...

[ 0.01153564453125, 0.0194091796875, -0.00537109375, 0.0027618408203125, -0.00823974609375, 0.0291748046875, -0.00092315673828125, 0.01177978515625, 0.0076904296875, 0.021240234375, -0.002532958984375, 0.0301513671875, 0.0167236328125, -0.00372314453125, 0.0184326171875, 0.00097274780273...

[ 42564, 4034, 136, 3564, 12638, 116, 124519, 17198, 50828, 158, 9348, 304, 11435, 13482, 11958, 1884, 31577, 2046, 140992, 62822, 99, 39580, 33671, 3365, 316, 13315, 106, 50960, 787, 12301, 11737, 10176, 18151, 30646 ]

[ 0.2578125, 0.14208984375, 0.0802001953125, 0.1689453125, 0.1435546875, 0.14892578125, 0.1622314453125, 0.044830322265625, 0.102783203125, 0.0274505615234375, 0.1268310546875, 0.0399169921875, 0.1485595703125, 0.1846923828125, 0.2071533203125, 0.0167083740234375, 0.007293701171875, ...

embed

65665567_c0

65665567

python

0

Title: pandas groupby and aggregator Problem title: pandas groupby and aggregator Tags: datetime, python, group-by, pandas Problem: pandas groupby and aggregator Code signals: df1, df.assign, x.index.hour

pandas groupby and aggregator pandas groupby and aggregator datetime python group-by pandas df1 df.assign x.index.hour pandas groupby and aggregator I have the following dataframe: then I group according to the hour in the index as follows: at this point, I would like to compute the mean of each group. I do as follow: ...

[ 0.01220703125, -0.005035400390625, -0.007598876953125, -0.005096435546875, -0.0047607421875, -0.0361328125, -0.00159454345703125, 0.0107421875, 0.007080078125, 0.003326416015625, -0.02685546875, 0.01104736328125, 0.0179443359375, -0.0125732421875, 0.00909423828125, -0.022705078125, -...

[ 2652, 1124, 21115, 1272, 136, 197564, 748, 5622, 6032, 17198, 50828, 420, 418, 162, 31304, 1022, 4711, 497, 474, 25632, 2053, 160328, 59499, 56816, 63262, 28960, 6275, 1884, 9969, 6743, 29459, 111, 12638, 37202, 959, 20697, 132283, 59826 ]

[ 0.1219482421875, 0.1392822265625, 0.24072265625, 0.19140625, 0.046539306640625, 0.1722412109375, 0.099365234375, 0.05816650390625, 0.142333984375, 0.0570068359375, 0.13134765625, 0.10650634765625, 0.0531005859375, 0.013824462890625, 0.157958984375, 0.0323486328125, 0.1220703125, 0....

embed

65715534_c0

65715534

python

0

Title: Convert Python list to dataframe Problem title: Convert Python list to dataframe Tags: python, dictionary, dataframe Problem: Convert Python list to dataframe Code signals: Convert, Python, Samsung

Convert Python list to dataframe Convert Python list to dataframe python dictionary dataframe Convert Python Samsung Convert Python list to dataframe I have a Python list like the following: I want to change like:

[ 0.019287109375, 0.01287841796875, -0.007232666015625, 0.0111083984375, 0.00162506103515625, -0.01336669921875, 0.004547119140625, 0.013916015625, -0.016357421875, 0.033935546875, -0.008544921875, -0.0296630859375, -0.0004673004150390625, 0.023681640625, -0.0247802734375, 0.003723144531...

[ 1657, 11549, 145581, 5303, 47, 2053, 160328, 17198, 50828, 45, 10763, 8744, 765, 1884, 70, 25632, 87, 3444, 15549 ]

[ 0.0782470703125, 0.16650390625, 0.285888671875, 0.260009765625, 0.1143798828125, 0.1544189453125, 0.28759765625, 0.1221923828125, 0.162353515625, 0.022247314453125, 0.10504150390625, 0.2113037109375, 0.06011962890625, 0.1141357421875, 0.010498046875, 0.0850830078125, 0.0028076171875,...

embed

72211947_c3

72211947

python

3

61.1631, 54.1344, 62.5758, 65.2308, 56.7024, 62.7527, 54.4386, 60.8065, 52.9211, 66.6071, 63.0445, 60.8769, 57.1242, 67.3688, 70.8355] } Code signals: How, LAeq, January, Februar, March, April, Mai, June

[ 0.0027008056640625, -0.007110595703125, 0.00089263916015625, 0.00982666015625, 0.011474609375, -0.01611328125, 0.0145263671875, 0.00714111328125, 0.002410888671875, 0.052734375, -0.00518798828125, -0.0242919921875, 0.0142822265625, -0.00537109375, 0.004150390625, 0.0089111328125, 0.0...

[ 11716, 5, 2485, 5016, 4, 190, 120518, 132993, 10031, 12243, 10057, 5684, 3742, 8318, 9103, 5757, 2357, 6873, 3768, 180874, 105742, 1496, 4836, 12424, 7221, 12231, 1662, 11251, 4598, 15770, 12069, 7709, 4633, 19308, 14212, 10149, 1530, 13023, ...

[ 0.251220703125, 0.137451171875, 0.2330322265625, 0.259033203125, 0.1417236328125, 0.1634521484375, 0.1602783203125, 0.2237548828125, 0.1934814453125, 0.16650390625, 0.151611328125, 0.183837890625, 0.093017578125, 0.1751708984375, 0.147705078125, 0.1092529296875, 0.1085205078125, 0....

embed

73527011_c0

73527011

python

0

Title: pandas average based on distinct times off the day Problem title: pandas average based on distinct times off the day Tags: pandas, python Problem: pandas average based on distinct times off the day

pandas average based on distinct times off the day pandas average based on distinct times off the day pandas python pandas average based on distinct times off the day I have some data where measurements are taken very 15 minutes during the day. There could be times where the measurements are not available but generally...

[ 0.012939453125, -0.0213623046875, 0.0118408203125, 0.0191650390625, -0.0098876953125, -0.044921875, -0.008544921875, 0.007293701171875, -0.00762939453125, -0.0264892578125, -0.004180908203125, 0.005157470703125, 0.017822265625, 0.0026702880859375, -0.0147705078125, 0.01361083984375, ...

[ 2652, 1124, 83080, 35509, 117781, 20028, 5773, 5155, 17198, 50828, 2053, 72350, 9035, 39958, 4552, 423, 14633, 20271, 959, 19882, 137567, 98154, 5608, 11907, 3509, 28960, 3444, 198343, 9969, 6743, 70, 29459, 136, 16757, 3956, 37769, 67842, 75...

[ 0.1573486328125, 0.1724853515625, 0.23876953125, 0.084716796875, 0.2022705078125, 0.180908203125, 0.208984375, 0.1510009765625, 0.0872802734375, 0.156494140625, 0.1494140625, 0.1929931640625, 0.05316162109375, 0.086181640625, 0.040985107421875, 0.112548828125, 0.1785888671875, 0.02...

embed

2084728_c1

2084728

python

1

87\u5b57\u6bcd\u3001\u6570\u5b57\u548c\u4e0b\u5212\u7ebf Code signals: What, u4e2a, u82f1, u6587, u5b57, u6bcd, u3001, u6570, u548c, u4e0b, u5212, u7ebf, xb8, xf6, xd3, xa2, xc4, xd7, xd6, xa1, xc2, gb2312

[ 0.0213623046875, 0.0091552734375, 0.00836181640625, 0.0164794921875, -0.0101318359375, 0.0001316070556640625, 0.0036163330078125, 0.0028228759765625, 0.006439208984375, 0.0184326171875, -0.016357421875, -0.0478515625, 0.0233154296875, -0.004669189453125, -0.01141357421875, -0.018066406...

[ 18825, 41872, 12243, 34, 65037, 71, 7739, 418, 12424, 5757, 174859, 238, 12744, 1530, 150598, 28864, 26073, 7, 12, 4865, 4, 75, 617, 13, 304, 11, 12012, 420, 19308, 758, 275, 910, 1022, 1019, 363, 2459, 966, 6, 74251, 3742 ]

[ 0.28857421875, 0.011993408203125, 0.224853515625, 0.06719970703125, 0.125244140625, 0.1629638671875, 0.2198486328125, 0.110107421875, 0.1942138671875, 0.20263671875, 0.21630859375, 0.0706787109375, 0.1558837890625, 0.15869140625, 0.2188720703125, 0.30859375, 0.331787109375, 0.16174...

embed

21290342_c0

21290342

python

0

Title: Python Line Sorting - Problem title: Python Line Sorting - Tags: sorting, python Problem: Python Line Sorting - Code signals: Python, Line, Sorting, BOB, Steve, BBBB, i.split, pos1, pos2, pos3, pos4

Python Line Sorting - Python Line Sorting - sorting python Python Line Sorting BOB Steve BBBB i.split pos1 pos2 pos3 pos4 Python Line Sorting - I have the following: Is there away I can sort by (Bob,Larry,Steve) then by (1111,2222)? so... So I need to sort by pos3 and then by pos2. Desired output would be:

[ -0.01397705078125, -0.000377655029296875, -0.0155029296875, -0.00506591796875, -0.01220703125, -0.0003070831298828125, 0.0126953125, 0.0166015625, 0.0001697540283203125, 0.04345703125, -0.022216796875, 0.010986328125, 0.0115966796875, -0.0145263671875, -0.0247802734375, -0.001701354980...

[ 145581, 16777, 53666, 214, 12096, 17198, 50828, 14216, 571, 41550, 40746, 22312, 17, 7008, 4353, 3864, 418, 304, 363, 617, 87, 765, 25632, 2685, 16065, 831, 390, 3522, 2729, 56216, 68551, 272, 16, 7068, 159019, 4015, 89647, 3871, 47, 136,...

[ 0.253662109375, 0.2081298828125, 0.2301025390625, 0.11279296875, 0.263916015625, 0.11181640625, 0.16455078125, 0.1370849609375, 0.1531982421875, 0.236083984375, 0.1102294921875, 0.1943359375, 0.01416015625, 0.0130615234375, 0.1611328125, 0.1668701171875, 0.012237548828125, 0.080444...

embed

2520440_c0

2520440

python

0

Title: mongokit and django Problem title: mongokit and django Tags: python, django, mongodb Problem: mongokit and django I'm looking for good tutorial or really simple code to integrate mongokit and django

mongokit and django mongokit and django python django mongodb mongokit and django I'm looking for good tutorial or really simple code to integrate mongokit and django

[ 0.022705078125, 0.00811767578125, 0.00482177734375, -0.00872802734375, -0.008544921875, 0.010498046875, -0.0038299560546875, -0.025390625, -0.0152587890625, -0.07470703125, 0.000942230224609375, -0.00994873046875, 0.0012359619140625, 0.00177764892578125, 0.01275634765625, -0.0123901367...

[ 14896, 685, 217, 136, 107473, 27803, 17198, 50828, 2667, 7803, 275, 87, 16487, 4127, 57143, 707, 6183, 8781, 18151, 47, 78779, 13 ]

[ 0.1805419921875, 0.207763671875, 0.270263671875, 0.1629638671875, 0.142578125, 0.289306640625, 0.09197998046875, 0.147705078125, 0.1263427734375, 0.1173095703125, 0.150390625, 0.01361083984375, 0.0770263671875, 0.07244873046875, 0.1903076171875, 0.012451171875, 0.06884765625, 0.148...

embed

30246807_c0

30246807

python

0

Title: python plot horizontal line for a range of values Problem title: python plot horizontal line for a range of values Tags: matplotlib, python Problem: python plot horizontal line for a range of values

python plot horizontal line for a range of values python plot horizontal line for a range of values matplotlib python python plot horizontal line for a range of values I am really new to python and trying to plot speed as a constant value for the distince from its current startpointinmeters to the next startpointinmete...

[ -0.0009918212890625, 0.011962890625, 0.007659912109375, -0.01348876953125, -0.006561279296875, -0.006500244140625, -0.0047607421875, -0.002471923828125, -0.000316619873046875, 0.03564453125, -0.0074462890625, -0.006134033203125, 0.01312255859375, 0.0081787109375, 0.00057220458984375, -...

[ 17198, 50828, 23577, 124001, 13315, 100, 37457, 111, 142424, 2589, 105710, 5612, 6183, 3525, 47, 31577, 38352, 237, 53697, 34292, 70, 34973, 329, 43581, 4034, 38496, 29089, 11737, 221, 83, 1295, 3564, 86, 29062, 27781, 5608, 186, 702, 62488...

[ 0.122802734375, 0.150634765625, 0.2149658203125, 0.2490234375, 0.18505859375, 0.1055908203125, 0.187255859375, 0.06158447265625, 0.19384765625, 0.05877685546875, 0.13720703125, 0.148681640625, 0.0623779296875, 0.0804443359375, 0.032135009765625, 0.085693359375, 0.2230224609375, 0.0...

embed

36009990_c0

36009990

python

0

Title: Pandas unstack single columns Problem title: Pandas unstack single columns Tags: pandas, python Problem: Pandas unstack single columns Code signals: Pandas, periodo_dia, valor_medida, Score_recogida

Pandas unstack single columns Pandas unstack single columns pandas python Pandas periodo_dia valor_medida Score_recogida Pandas unstack single columns Any suggestion to unstack column=periodo_dia without dropping any column? Original dataframe looks like: Desired dataframe should be like:

[ -0.00015163421630859375, 0.006927490234375, -0.007659912109375, 0.03955078125, -0.00836181640625, -0.01104736328125, -0.0279541015625, -0.017333984375, -0.005096435546875, 0.0299072265625, -0.01422119140625, -0.005615234375, -0.0057373046875, 0.021728515625, -0.02001953125, 0.004150390...

[ 89308, 7, 51, 590, 2594, 11001, 3365, 316, 2652, 1124, 17198, 50828, 21318, 3390, 6053, 17885, 85, 168071, 587, 59009, 199015, 47, 19, 131692, 31, 15490, 36069, 10366, 34525, 2053, 160328, 33342, 1884, 56656, 2822, 5608 ]

[ 0.177734375, 0.017242431640625, 0.112060546875, 0.1778564453125, 0.16748046875, 0.1123046875, 0.1248779296875, 0.1533203125, 0.047882080078125, 0.04058837890625, 0.026763916015625, 0.1177978515625, 0.220703125, 0.2061767578125, 0.1246337890625, 0.096923828125, 0.054534912109375, 0....

embed

40278666_c2

40278666

python

2

280116020006537E1EA08F1, E280116020007527E1EA08F1, E280116020007517E1EA08F1, E280116020006507E1EA08F1, E280116020006357E1E608F1, E280116020007347E1E608F1, E280116020006337E1E608F1, E280116020007327E1E608F1

[ 0.01177978515625, -0.024658203125, -0.0257568359375, 0.025634765625, 0.0167236328125, 0.0050048828125, -0.01495361328125, -0.006591796875, 0.0216064453125, 0.041015625, 0.01190185546875, -0.0218505859375, -0.003631591796875, -0.0205078125, -0.005462646484375, 0.0283203125, 0.00189208...

[ 49686, 120620, 113266, 159343, 179973, 647, 418, 24040, 8318, 919, 4, 241, 88628, 1662, 4598, 13821, 6873, 3768, 2489, 85399, 115021, 170285, 77110, 125450, 129176, 13574 ]

[ 0.2939453125, 0.2078857421875, 0.1688232421875, 0.142333984375, 0.2047119140625, 0.10498046875, 0.1290283203125, 0.136962890625, 0.1544189453125, 0.12255859375, 0.123046875, 0.179443359375, 0.28076171875, 0.12841796875, 0.150146484375, 0.13330078125, 0.08740234375, 0.1453857421875,...

embed

46241184_c0

46241184

python

0

Title: How to make a block of words a string in python Problem title: How to make a block of words a string in python Tags: python Problem: How to make a block of words a string in python Code signals: How

How to make a block of words a string in python How to make a block of words a string in python python How How to make a block of words a string in python I was trying to write code and I needed the following string as one integer. I wanted to know how to make it one string.

[ -0.005645751953125, -0.00616455078125, -0.0206298828125, 0.01263427734375, -0.0019683837890625, 0.011962890625, 0.01507568359375, 0.00396728515625, 0.00555419921875, -0.007110595703125, -0.01806640625, -0.0123291015625, 0.015625, -0.0030975341796875, -0.03759765625, 0.01708984375, -0...

[ 11249, 47, 3249, 10, 46389, 111, 34153, 79315, 23, 17198, 50828, 33022, 18151, 44841, 25632, 237, 1632, 892, 1505, 36663, 3714, 3642, 442 ]

[ 0.05987548828125, 0.04217529296875, 0.1141357421875, 0.13525390625, 0.21337890625, 0.118896484375, 0.2259521484375, 0.26513671875, 0.07818603515625, 0.10711669921875, 0.1773681640625, 0.00201416015625, 0.082275390625, 0.065185546875, 0.06805419921875, 0.033294677734375, 0.12390136718...

embed

47063196_c0

47063196

python

0

Title: Python: Combination with one criteria Problem title: Python: Combination with one criteria Tags: python, combinations Problem: Python: Combination with one criteria Code signals: Python, Combination

Python: Combination with one criteria Python: Combination with one criteria python combinations Python Combination Python: Combination with one criteria i need combination list like But i don't need 0 and 1 and the end of number, how i can do it? Thanks!

[ 0.004852294921875, 0.0238037109375, 0.0032196044921875, 0.0274658203125, 0.0084228515625, -0.009521484375, 0.0147705078125, 0.009765625, 0.01806640625, 0.0036468505859375, -0.025146484375, -0.02490234375, -0.00506591796875, 0.0174560546875, -0.020751953125, 0.00494384765625, -0.00411...

[ 145581, 12, 106935, 19, 2320, 678, 1632, 55738, 11, 17198, 50828, 162515, 17, 3871, 5303, 1884, 4966, 2301, 18, 757, 136, 106, 3564, 14012, 3642, 831, 54, 442, 22362 ]

[ 0.2578125, 0.03021240234375, 0.2227783203125, 0.1934814453125, 0.0836181640625, 0.1226806640625, 0.1884765625, 0.228515625, 0.134521484375, 0.0997314453125, 0.1341552734375, 0.2919921875, 0.020965576171875, 0.142578125, 0.2421875, 0.1107177734375, 0.00537109375, 0.07440185546875, ...

embed

48403244_c0

48403244

python

0

Title: closest points based on coordinates, python Problem title: closest points based on coordinates, python Tags: numpy, kdtree, scipy, python, pandas Problem: closest points based on coordinates, python

closest points based on coordinates, python closest points based on coordinates, python numpy kdtree scipy python pandas closest points based on coordinates, python I have a list of the station with x and y coordinates. I tried to find at least 4 closest points for each station. I had a look at this link but can not ab...

[ 0.033935546875, 0.006683349609375, -0.0017852783203125, -0.0201416015625, -0.0027923583984375, -0.04248046875, 0.0213623046875, 0.005889892578125, -0.0218505859375, 0.005218505859375, 0.003021240234375, -0.029296875, -0.0196533203125, -0.006866455078125, -0.003509521484375, -0.00067520...

[ 20903, 271, 26847, 35509, 98, 176866, 90, 17198, 50828, 13269, 6493, 472, 71, 62600, 13047, 2652, 1124, 5303, 29398, 1022, 136, 113, 37842, 7413, 99, 19713, 201, 100, 12638, 3126, 19048, 26366, 3642, 54, 450, 2053, 33342, 4358, 56623 ]

[ 0.2232666015625, 0.21728515625, 0.193603515625, 0.1241455078125, 0.056121826171875, 0.1981201171875, 0.10693359375, 0.099853515625, 0.14453125, 0.05322265625, 0.1029052734375, 0.011749267578125, 0.000823974609375, 0.17822265625, 0.045867919921875, 0.06982421875, 0.0904541015625, 0....

embed

51088012_c1

51088012

python

1

6-d4e0-4929-b309-8171bf61b508, d0576830-df96-4411-ac33-4bac597f2010, a650e642-ee41-4ab7-8ad1-797c7bdcd2aa, c0a36d2e-f7dd-4d62-abe8-c26249e52520, fd4bbf86-9803-4724-9576-d83355bdcff2, bdbb-55c14cd6b83a, _id

[ 0.00830078125, -0.01177978515625, -0.00054931640625, 0.0238037109375, -0.00469970703125, 0.015625, -0.0281982421875, 0.0028076171875, 0.01263427734375, -0.0017852783203125, 0.01470947265625, 0.01007080078125, -0.00811767578125, -0.0120849609375, 0.00775146484375, 0.0052490234375, -0....

[ 13007, 71, 617, 13, 2389, 9, 12977, 4235, 275, 1197, 1126, 17376, 123439, 150598, 11540, 2525, 1019, 4, 104, 8194, 84453, 420, 11648, 167819, 20268, 2263, 363, 130913, 49369, 191304, 11436, 10, 85399, 171701, 7039, 8894, 11565, 2055, 181216...

[ 0.2413330078125, 0.1322021484375, 0.1077880859375, 0.09619140625, 0.126220703125, 0.118896484375, 0.208251953125, 0.266357421875, 0.1258544921875, 0.150634765625, 0.1826171875, 0.10595703125, 0.1910400390625, 0.1177978515625, 0.1533203125, 0.15625, 0.2017822265625, 0.1246337890625,...

embed

52241935_c0

52241935

python

0

Title: Pytorch: join tensor and dictionary Problem title: Pytorch: join tensor and dictionary Tags: numpy, pandas, python, pytorch Problem: Pytorch: join tensor and dictionary Code signals: Pytorch, cuda:0

Pytorch: join tensor and dictionary Pytorch: join tensor and dictionary numpy pandas python pytorch Pytorch cuda:0 Pytorch: join tensor and dictionary Using Pytorch. Got the following tensor: Need to join it with the following dictionary: In order to get the following results: 'a','c','e'

[ 0.018310546875, -0.00848388671875, -0.032470703125, 0.019287109375, -0.004119873046875, -0.01361083984375, 0.000431060791015625, 0.00775146484375, -0.0157470703125, -0.028076171875, -0.0108642578125, -0.021484375, -0.0038909912109375, -0.002349853515625, -0.0203857421875, 0.02075195312...

[ 27512, 1290, 206, 12, 33284, 1492, 4970, 136, 45, 10763, 6635, 13269, 6493, 2652, 1124, 17198, 50828, 314, 85, 53861, 345, 6953, 53983, 70, 25632, 52889, 442, 678, 12989, 2046, 50339, 11, 238, 13 ]

[ 0.1214599609375, 0.18603515625, 0.2060546875, 0.010772705078125, 0.1903076171875, 0.1768798828125, 0.2081298828125, 0.0927734375, 0.0875244140625, 0.1531982421875, 0.009857177734375, 0.032257080078125, 0.1378173828125, 0.0299835205078125, 0.05975341796875, 0.06719970703125, 0.0866088...

embed

52453272_c0

52453272

python

0

Title: unique combinations values in a dictionary Problem title: unique combinations values in a dictionary Tags: python Problem: unique combinations values in a dictionary Code signals: a_1, a_2, b_1, b_2

unique combinations values in a dictionary unique combinations values in a dictionary python a_1 a_2 b_1 b_2 unique combinations values in a dictionary For the following example dictionary, is there a builtin method to get all unique combinations? output:

[ -0.006591796875, 0.0038909912109375, -0.00848388671875, -0.0235595703125, -0.01300048828125, 0.0023193359375, -0.00701904296875, 0.000762939453125, 0.01287841796875, 0.04736328125, -0.0238037109375, 0.01092529296875, 0.0380859375, -0.00104522705078125, -0.0159912109375, 0.009033203125,...

[ 36998, 162515, 7, 142424, 23, 45, 10763, 6635, 10, 17198, 50828, 115187, 304, 876, 25632, 27781, 83, 2685, 88303, 73, 55300, 47, 2046, 756, 140992 ]

[ 0.260498046875, 0.283203125, 0.142578125, 0.2115478515625, 0.061767578125, 0.09283447265625, 0.17138671875, 0.0877685546875, 0.041717529296875, 0.083251953125, 0.131591796875, 0.0794677734375, 0.063720703125, 0.0654296875, 0.0237884521484375, 0.130126953125, 0.009368896484375, 0.02...

embed

52459113_c0

52459113

python

0

Title: How does DataFrame produce this result? Problem title: How does DataFrame produce this result? Tags: pandas, python Problem: How does DataFrame produce this result? Code signals: How, DataFrame, Out

How does DataFrame produce this result? How does DataFrame produce this result? pandas python How DataFrame Out How does DataFrame produce this result? Step 1: display the first 10 rows: Step 2: list all rows that has a rank of 1 Step 3: Produce list of rows with rank=1 I don't understand step 3. Why does data[boolean]...

[ 0.03662109375, 0.0206298828125, -0.0157470703125, 0.01434326171875, -0.00787353515625, 0.00738525390625, 0.01287841796875, 0.00323486328125, -0.0152587890625, 0.0179443359375, 0.00139617919921875, -0.029296875, -0.01165771484375, 0.009033203125, -0.005889892578125, -0.00059127807617187...

[ 11249, 14602, 11809, 108386, 282, 27489, 903, 16750, 2652, 1124, 17198, 50828, 13538, 50478, 44116, 5117, 209, 15555, 5303, 756, 1556, 30648, 106, 22408, 103687, 678, 33000, 28219, 29954, 1031, 44084, 2053, 142484, 5073, 8561, 69112, 418 ]

[ 0.0994873046875, 0.092041015625, 0.1605224609375, 0.256103515625, 0.20556640625, 0.1912841796875, 0.0899658203125, 0.167236328125, 0.054046630859375, 0.080810546875, 0.0504150390625, 0.1370849609375, 0.2093505859375, 0.09503173828125, 0.1356201171875, 0.046630859375, 0.1102294921875,...

embed

15966743_c0

15966743

python

0

Title: Google Drive API ImportError Problem title: Google Drive API ImportError Tags: python, pyopenssl, google-drive-api Problem: Google Drive API ImportError Code signals: ImportError, Google, Drive, API

Google Drive API ImportError Google Drive API ImportError python pyopenssl google-drive-api ImportError Google Drive API Google Drive API ImportError

[ -0.0142822265625, 0.018310546875, -0.00494384765625, -0.0216064453125, -0.025390625, 0.00689697265625, 0.006591796875, -0.03759765625, -0.01373291015625, 0.0208740234375, 0.01806640625, -0.039306640625, 0.005218505859375, 0.005645751953125, 0.005401611328125, -0.0108642578125, -0.009...

[ 1815, 50161, 61687, 92966, 18468, 31611, 17198, 50828, 59636, 7, 24861, 26484, 88400, 40897 ]

[ 0.194091796875, 0.2822265625, 0.2509765625, 0.241943359375, 0.166748046875, 0.04425048828125, 0.106689453125, 0.1644287109375, 0.1480712890625, 0.0638427734375, 0.2479248046875, 0.1689453125, 0.2763671875, 0.21337890625 ]

embed

17337680_c0

17337680

python

0

Title: NumPy array indexing a 2D matrix Problem title: NumPy array indexing a 2D matrix Tags: numpy, python Problem: NumPy array indexing a 2D matrix Code signals: NumPy, np.zeros, np.array, np.random.rand

NumPy array indexing a 2D matrix NumPy array indexing a 2D matrix numpy python NumPy np.zeros np.array np.random.rand NumPy array indexing a 2D matrix I've a little issue while working on same big data. But for now, let's assume I've got an NumPy array filled with zeros Now I want to change some of these zeros with spe...

[ 0.00946044921875, 0.00970458984375, -0.00738525390625, 0.00555419921875, 0.0037384033203125, 0.01055908203125, 0.00390625, 0.007476806640625, 0.0137939453125, 0.015380859375, 0.0019683837890625, -0.0108642578125, -0.01336669921875, -0.004547119140625, -0.0079345703125, -0.0112915039062...

[ 52782, 683, 53, 10298, 63262, 214, 116, 397, 50944, 13269, 6493, 17198, 50828, 25037, 80510, 19305, 46258, 39, 37214, 425, 10176, 31089, 20697, 5701, 2053, 5036, 41591, 152382, 45234, 3444, 15549, 3060, 6097, 29458, 142424, 34475, 38750, 1048...

[ 0.16552734375, 0.1739501953125, 0.166748046875, 0.1802978515625, 0.2039794921875, 0.0482177734375, 0.0997314453125, 0.0770263671875, 0.142822265625, 0.125, 0.123046875, 0.051422119140625, 0.08740234375, 0.110107421875, 0.1746826171875, 0.146240234375, 0.1041259765625, 0.07379150390...

embed

60214757_c0

60214757

python

0

Title: Fahrenheit to Celsius in Python Problem title: Fahrenheit to Celsius in Python Tags: python, csv Problem: Fahrenheit to Celsius in Python Code signals: Fahrenheit, Celsius, Python, temp_f, convert_c

Fahrenheit to Celsius in Python Fahrenheit to Celsius in Python python csv Fahrenheit Celsius Python temp_f convert_c Fahrenheit to Celsius in Python I tried to transfer the dataset('weatherData.csv') from Fahrenheit to Celsius, but it failed. code: output: How to transfer these data to Celsius? Thanks.

[ 0.00665283203125, -0.0294189453125, 0.0020751953125, 0.007568359375, 0.0003643035888671875, -0.01202392578125, 0.00933837890625, 0.006256103515625, -0.0030975341796875, 0.0257568359375, -0.01141357421875, -0.0113525390625, -0.0184326171875, 0.0218505859375, -0.0086669921875, -0.0273437...

[ 52868, 33, 16587, 47, 166793, 23, 145581, 17198, 50828, 20763, 334, 20805, 420, 96760, 238, 37842, 12302, 2053, 3509, 1177, 11, 9319, 137989, 4439, 1295, 165523, 18151, 140992, 11249, 6097, 5 ]

[ 0.16748046875, 0.1455078125, 0.1995849609375, 0.1497802734375, 0.256103515625, 0.091552734375, 0.278076171875, 0.1292724609375, 0.142578125, 0.08953857421875, 0.1849365234375, 0.142578125, 0.112060546875, 0.15283203125, 0.0863037109375, 0.04010009765625, 0.1787109375, 0.14807128906...

embed

58551974_c0

58551974

python

0

Title: Creating new column in dataframe Problem title: Creating new column in dataframe Tags: pandas, numpy, python Problem: Creating new column in dataframe Code signals: Creating, count_e, a_count, Since

Creating new column in dataframe Creating new column in dataframe pandas numpy python Creating count_e a_count Since Creating new column in dataframe I have a dataframe that has the following columns : I want to create a new column "a_count" which would be generated on the constraint that the for each row it would be c...

[ 0.033447265625, 0.003997802734375, -0.0128173828125, 0.0250244140625, 0.019775390625, -0.00836181640625, -0.01251220703125, 0.0181884765625, 0.001861572265625, 0.0009765625, -0.0050048828125, -0.033447265625, 0.007537841796875, 0.01275634765625, -0.017333984375, -0.006622314453125, -...

[ 56781, 3525, 3365, 316, 19, 23, 2053, 160328, 2652, 1124, 13269, 6493, 17198, 50828, 1916, 54529, 454, 13, 10, 71013, 70, 87, 3444, 28282, 11, 2806, 139392, 98, 158, 2816, 4288, 100, 12638, 15555, 64, 112302, 5622, 13379, 111, 1326, 600...

[ 0.10418701171875, 0.1124267578125, 0.1441650390625, 0.1693115234375, 0.0947265625, 0.009765625, 0.1025390625, 0.26123046875, 0.0662841796875, 0.0792236328125, 0.050689697265625, 0.136962890625, 0.02862548828125, 0.10723876953125, 0.009124755859375, 0.1802978515625, 0.04693603515625, ...

embed

62835973_c1

62835973

python

1

015-02-10-000010-L1, UA-2015-02-16-000002-L1, UA-2015-02-26-000005-L1, UA-2015-03-05-000001-L1, UA-2015-03-05-000003-L1, UA-2015-03-05-000004-L1, UA-2015-03-06-000009-L1, UA-2015-03-06-000010-L1, number_id

[ 0.002197265625, -0.011474609375, -0.01007080078125, -0.00701904296875, 0.00469970703125, -0.01312255859375, 0.00299072265625, 0.005615234375, 0.0294189453125, 0.00104522705078125, 0.0037994384765625, -0.0281982421875, 0.0062255859375, -0.01953125, 0.0185546875, 0.006591796875, -0.000...

[ 757, 1837, 88296, 52486, 28568, 963, 9, 866, 418, 4, 6, 20004, 44906, 43627, 2485, 181155, 18504, 4046, 55426, 97540, 52288, 20268, 27495, 35748, 44037, 6463, 14012, 454, 532 ]

[ 0.1229248046875, 0.249267578125, 0.2325439453125, 0.1964111328125, 0.156494140625, 0.206298828125, 0.09381103515625, 0.1312255859375, 0.142333984375, 0.0950927734375, 0.060028076171875, 0.17333984375, 0.2459716796875, 0.159912109375, 0.1416015625, 0.1649169921875, 0.0482177734375, ...

embed

65275902_c0

65275902

python

0

Title: How to change format of a dict in Python? Problem title: How to change format of a dict in Python? Tags: python, function Problem: How to change format of a dict in Python? Code signals: How, Python

How to change format of a dict in Python? How to change format of a dict in Python? python function How Python How to change format of a dict in Python? I have a dictionary or list as below. How can I convert it below format as list or dictionary? I want to see each X/Y/Z for their unique values. I should not use panda...

[ -0.006744384765625, 0.0004482269287109375, 0.0033111572265625, 0.009521484375, 0.010498046875, -0.0164794921875, -0.0017547607421875, 0.007110595703125, -0.0130615234375, 0.049072265625, 0.0228271484375, -0.0159912109375, -0.032470703125, 0.0162353515625, 0.017578125, 0.006500244140625...

[ 11249, 47, 15549, 9384, 111, 10, 61669, 23, 145581, 17198, 50828, 32354, 45, 10763, 6635, 707, 5303, 237, 35064, 831, 87, 96760, 442, 3444, 1957, 12638, 1193, 64, 1723, 1511, 36998, 142424, 4527, 2652, 1124, 13269, 6493, 7311, 2053 ]

[ 0.1048583984375, 0.1158447265625, 0.2269287109375, 0.251953125, 0.08013916015625, 0.0413818359375, 0.2386474609375, 0.071533203125, 0.26318359375, 0.0814208984375, 0.126953125, 0.095703125, 0.0909423828125, 0.1444091796875, 0.09442138671875, 0.063720703125, 0.164794921875, 0.062072...

embed

69930453_c0

69930453

python

0

Title: How do I swap rows/columns in csv python Problem title: How do I swap rows/columns in csv python Tags: python, csv Problem: How do I swap rows/columns in csv python Code signals: How, SCORE1, SCORE2

How do I swap rows/columns in csv python How do I swap rows/columns in csv python python csv How SCORE1 SCORE2 How do I swap rows/columns in csv python My raw csv file like this . How do I swap score1 and score2 into the ID column? I want to like this : Using csv or pandas but csv is preferred.

[ -0.00104522705078125, 0.00848388671875, 0.0012359619140625, 0.017333984375, -0.00714111328125, -0.002593994140625, -0.003997802734375, 0.0145263671875, -0.006072998046875, 0.060791015625, 0.00183868408203125, -0.01495361328125, 0.00070953369140625, 0.0302734375, -0.0211181640625, -0.00...

[ 11249, 54, 87, 202317, 15555, 7, 64, 8447, 316, 1779, 23, 20763, 334, 17198, 50828, 17715, 54003, 418, 304, 49649, 11435, 1884, 903, 47763, 136, 3934, 70, 11338, 3365, 19, 3444, 345, 2652, 1124, 12601, 2822 ]

[ 0.053253173828125, 0.046875, 0.06365966796875, 0.25537109375, 0.2041015625, 0.03167724609375, 0.06707763671875, 0.1441650390625, 0.1832275390625, 0.0748291015625, 0.0455322265625, 0.1260986328125, 0.2200927734375, 0.1094970703125, 0.1815185546875, 0.1141357421875, 0.112548828125, 0...

embed

75762554_c0

75762554

python

0

Title: how to convert a table to an array Problem title: how to convert a table to an array Tags: databricks, pyspark, python Problem: how to convert a table to an array Code signals: item_name, item_value

how to convert a table to an array how to convert a table to an array databricks pyspark python item_name item_value how to convert a table to an array I have a table like below How do I convert it to any help would be appreciated!

[ 0.0079345703125, -0.0057373046875, -0.0260009765625, 0.0201416015625, -0.00811767578125, 0.00052642822265625, -0.00518798828125, 0.002227783203125, -0.0023956298828125, 0.043212890625, 0.0185546875, 0.006622314453125, 0.0045166015625, 0.0155029296875, -0.00604248046875, -0.006744384765...

[ 3642, 47, 96760, 10, 23180, 142, 10298, 53, 2053, 73720, 1224, 57756, 10237, 17198, 50828, 35735, 11627, 27494, 765, 1884, 35064, 11249, 54, 87, 4358, 77947 ]

[ 0.07965087890625, 0.1173095703125, 0.15771484375, 0.029388427734375, 0.263671875, 0.06732177734375, 0.2073974609375, 0.17578125, 0.0809326171875, 0.1715087890625, 0.0972900390625, 0.07562255859375, 0.1912841796875, 0.047454833984375, 0.1231689453125, 0.1326904296875, 0.1153564453125,...

embed

9554572_c0

9554572

python

0

Title: python empty list trick Problem title: python empty list trick Tags: list, python Problem: python empty list trick Why does this happen? x = [[]] * 4 x[0].append('x') -> [['x'], ['x'], ['x'], ['x']]

python empty list trick python empty list trick list python python empty list trick Why does this happen?

[ -0.006256103515625, 0.0084228515625, 0.0133056640625, 0.0019683837890625, 0.0062255859375, 0.0162353515625, -0.00567626953125, 0.0096435546875, 0.0257568359375, 0.01904296875, 0.0072021484375, -0.004791259765625, 0.002105712890625, 0.017822265625, -0.0162353515625, 0.00347900390625, ...

[ 17198, 50828, 201505, 5303, 88308, 44084, 14602, 903, 53383 ]

[ 0.046722412109375, 0.0904541015625, 0.2237548828125, 0.24072265625, 0.238037109375, 0.1256103515625, 0.06951904296875, 0.10260009765625, 0.130126953125 ]

embed

24033232_c1

24033232

python

1

575, 8303, 6615, 9534, 6535, 9715, 8434, 70433, 67214, 6541, 10936, 9700], [68624, 68337, 68241, 68138, 70577, 10244, 14207, 14205, 14209, 14206, 8499, 14211, 14115]] Code signals: Delete, b.txt, python-2.7

[ 0.0242919921875, 0.01708984375, 0.003875732421875, 0.03662109375, -0.005218505859375, 0.007415771484375, 0.0025634765625, 0.00860595703125, 0.004302978515625, 0.03515625, -0.005279541015625, -0.0140380859375, -0.001068115234375, 0.004486083984375, -0.00096893310546875, -0.0099487304687...

[ 190, 6873, 4, 19251, 9513, 11251, 1837, 9199, 10289, 5684, 5843, 14819, 382, 152697, 2358, 150177, 6, 198493, 2592, 8894, 41184, 8659, 483, 15128, 268, 378, 178475, 2357, 12045, 129176, 192508, 141535, 165467, 140154, 617, 71725, 8368, 616, ...

[ 0.1416015625, 0.26220703125, 0.1046142578125, 0.1573486328125, 0.233154296875, 0.1357421875, 0.1788330078125, 0.116943359375, 0.1785888671875, 0.113525390625, 0.15869140625, 0.09454345703125, 0.0849609375, 0.2078857421875, 0.04144287109375, 0.1864013671875, 0.06317138671875, 0.1176...

embed

31806482_c1

31806482

python

1

4e, b676, b3a9, f683, a9ad, f0c8, d5fe, ae5e, ad7e, db24, ec30, ce3d, e7de, f3de, e0f9, f8f2, cad4, c807, a4cc, b461, c8f3, b4d9, a35a, ad82, a83b, d867, e00b, ae13, af88, cb41, f0e1, ba3d, ff1b, f32f, d51a

[ -0.01104736328125, 0.007537841796875, -0.0159912109375, 0.0002803802490234375, 0.0034027099609375, -0.0028839111328125, -0.042724609375, 0.00106048583984375, -0.0000762939453125, 0.02001953125, -0.0034637451171875, 0.0228271484375, 0.0068359375, 0.005767822265625, -0.01556396484375, -0...

[ 201, 13, 4, 876, 181137, 363, 11, 1126, 1238, 184929, 10, 712, 2389, 238, 1019, 104, 758, 2242, 606, 966, 40041, 2357, 50061, 1197, 405, 71, 28, 112, 420, 304, 19630, 617, 501, 4836, 10060, 162044, 5843, 12012, 17168, 275, 211143, 704...

[ 0.21337890625, 0.1822509765625, 0.1304931640625, 0.154541015625, 0.30078125, 0.13427734375, 0.13134765625, 0.1519775390625, 0.1522216796875, 0.270263671875, 0.1551513671875, 0.15869140625, 0.0362548828125, 0.046844482421875, 0.1324462890625, 0.1358642578125, 0.06219482421875, 0.162...

embed

33077193_c0

33077193

python

0

Title: shell script rename multi files based on folder ids Problem title: shell script rename multi files based on folder ids Tags: shell, python Problem: shell script rename multi files based on folder ids

shell script rename multi files based on folder ids shell script rename multi files based on folder ids shell python shell script rename multi files based on folder ids ive the following pattern for 2014 and 2015 i want to rename all files under /store based on the folder ids here is folder id= 55122 so the file under ...

[ -0.00738525390625, -0.01312255859375, -0.0303955078125, 0.0556640625, -0.0142822265625, -0.00787353515625, 0.006622314453125, 0.01068115234375, -0.01116943359375, 0.038330078125, -0.0050048828125, 0.0147705078125, -0.00946044921875, 0.018798828125, 0.01019287109375, -0.0030517578125, ...

[ 128019, 26499, 456, 11627, 6024, 102158, 35509, 98, 78303, 3447, 7, 17198, 50828, 272, 25632, 103510, 100, 1049, 136, 918, 3444, 756, 1379, 248, 45804, 3688, 4859, 108837, 11435, 4343, 5608, 186, 483, 112930, 2967, 6863, 106, 60875, 12638, ...

[ 0.1978759765625, 0.177734375, 0.1319580078125, 0.20263671875, 0.2120361328125, 0.183349609375, 0.123779296875, 0.0645751953125, 0.16845703125, 0.167724609375, 0.03790283203125, 0.06500244140625, 0.12158203125, 0.013031005859375, 0.013580322265625, 0.133544921875, 0.01007080078125, ...

embed

42612676_c0

42612676

python

0

Title: Pandas dataframe max and min value Problem title: Pandas dataframe max and min value Tags: jupyter-notebook, python, pandas Problem: Pandas dataframe max and min value Code signals: column, 1, Pandas

Pandas dataframe max and min value Pandas dataframe max and min value jupyter-notebook python pandas column 1 Pandas Pandas dataframe max and min value I have a pandas dataframe that looks like the following: What I want to do is get the max and min values from column 'B' given by the the range from 1 to 3 in column 'A...

[ 0.029296875, -0.005157470703125, 0.0177001953125, 0.033935546875, -0.003662109375, 0.00396728515625, 0.0133056640625, 0.00096893310546875, -0.010498046875, 0.024658203125, -0.0140380859375, -0.020751953125, -0.0001506805419921875, -0.0015411376953125, 0.017822265625, 0.01361083984375, ...

[ 89308, 7, 2053, 160328, 18389, 136, 881, 34292, 1129, 6493, 720, 48345, 14137, 17198, 50828, 2652, 1124, 3365, 316, 106, 33342, 1884, 25632, 3444, 2046, 142424, 1295, 571, 34475, 390, 37457, 47, 138, 284, 27781, 15190 ]

[ 0.1748046875, 0.0933837890625, 0.1104736328125, 0.22314453125, 0.1842041015625, 0.0963134765625, 0.21630859375, 0.197021484375, 0.0242462158203125, 0.040802001953125, 0.09454345703125, 0.0775146484375, 0.099365234375, 0.030914306640625, 0.0872802734375, 0.102783203125, 0.12158203125,...

embed

44318047_c0

44318047

python

0

Title: Is this a dictionary & lists bug? Problem title: Is this a dictionary & lists bug? Tags: debugging, list, python, append Problem: Is this a dictionary & lists bug? Code signals: dict.fromkeys

Is this a dictionary & lists bug? Is this a dictionary & lists bug? debugging list python append dict.fromkeys Is this a dictionary & lists bug? Can anybody make sense of this: Method 1 Method 2 I cannot figure out why in the 2nd case the value is appended in each key.... this is a serious bug or I am seriously...

[ 0.01068115234375, 0.004486083984375, -0.00860595703125, -0.0311279296875, -0.0211181640625, 0.004180908203125, 0.0250244140625, 0.01348876953125, 0.0087890625, 0.03564453125, 0.004425048828125, -0.000598907470703125, 0.00130462646484375, 0.01202392578125, -0.01458740234375, -0.0078125,...

[ 2071, 903, 10, 45, 10763, 6635, 619, 25133, 74, 5303, 7, 54608, 8, 978, 36659, 17198, 50828, 114689, 71, 61669, 161063, 19770, 3249, 10422, 74644, 116, 53418, 26366, 15400, 2208, 7225, 34292, 83, 48141, 23, 12638, 22799, 85583, 147115, 16...

[ 0.047637939453125, 0.1248779296875, 0.02569580078125, 0.053070068359375, 0.1378173828125, 0.09002685546875, 0.091064453125, 0.0777587890625, 0.035430908203125, 0.1845703125, 0.0531005859375, 0.2000732421875, 0.1068115234375, 0.13232421875, 0.021148681640625, 0.023284912109375, 0.1156...

embed

50101964_c1

50101964

python

1

1991/1/1 120 3 1 2 1992/1/1 85 4 4 2 1992/1/1 90 5 7 2 1992/1/1 80 6 2 3 1993/1/1 85 1 5 3 1993/1/1 90 2 8 3 1993/1/1 100 3 Code signals: Dropping, Deal, Year, Financial, Data1, Data2, Data3, Quarter, Data

[ 0.00927734375, 0.0032501220703125, -0.0263671875, 0.0196533203125, 0.0003681182861328125, -0.005889892578125, 0.01385498046875, 0.007659912109375, 0.0361328125, 0.0546875, -0.03125, -0.032470703125, -0.0029144287109375, -0.0072021484375, -0.021240234375, -0.00006961822509765625, 0.02...

[ 12898, 11583, 5390, 138, 106, 116, 12839, 9365, 201, 2510, 190, 361, 2248, 305, 13867, 382, 805, 28864, 26073, 7, 12, 46193, 26783, 4, 90943, 42552, 96408, 11809, 418, 304, 363, 48772, 56 ]

[ 0.2464599609375, 0.198974609375, 0.2457275390625, 0.26416015625, 0.09979248046875, 0.0914306640625, 0.16845703125, 0.1815185546875, 0.08740234375, 0.16650390625, 0.0841064453125, 0.0308074951171875, 0.146240234375, 0.06390380859375, 0.2210693359375, 0.061859130859375, 0.2059326171875...

embed

64268579_c1

64268579

python

1

2014-03-08 A C 3 2 2014-03-08 A D 2 2 2014-03-04 B C 5 1 2014-03-04 B D 6 1 2014-03-05 B E 7 1 2014-03-06 B F 8 1 2014-03-06 B C 9 2 Code signals: Group, Consecutive, Dates, Rank, Date, Barcode, Step, Value

[ 0.018798828125, -0.004852294921875, -0.0260009765625, 0.0308837890625, 0.01190185546875, -0.000637054443359375, -0.00021076202392578125, 0.04248046875, 0.01202392578125, 0.03076171875, -0.01116943359375, 0.0005645751953125, 0.00145721435546875, -0.0023345947265625, -0.0306396484375, -0...

[ 1049, 37151, 8318, 62, 313, 138, 116, 391, 7709, 335, 190, 106, 305, 8194, 241, 361, 9016, 563, 382, 483, 28864, 26073, 7, 12, 10760, 4, 1657, 166643, 272, 25512, 134405, 3253, 40899, 50478, 190060 ]

[ 0.173828125, 0.109375, 0.1392822265625, 0.1068115234375, 0.0977783203125, 0.10736083984375, 0.09375, 0.0784912109375, 0.052215576171875, 0.05914306640625, 0.064697265625, 0.017059326171875, 0.0633544921875, 0.0265960693359375, 0.0706787109375, 0.030731201171875, 0.03302001953125, 0...

embed

64736080_c0

64736080

python

0

Title: print la limited number of list on each line Problem title: print la limited number of list on each line Tags: formatting, list, printing, python Problem: print la limited number of list on each line

print la limited number of list on each line print la limited number of list on each line formatting list printing python print la limited number of list on each line prints elements from a list with 10 digits per line from this to this (without parenthesis)

[ -0.0130615234375, -0.007049560546875, 0.0015106201171875, -0.0081787109375, -0.0038299560546875, -0.013427734375, 0.007659912109375, 0.00982666015625, 0.01129150390625, 0.04736328125, 0.007080078125, -0.042724609375, -0.00159454345703125, -0.00109100341796875, -0.00872802734375, 0.0057...

[ 28412, 21, 84046, 14012, 111, 5303, 98, 12638, 13315, 9384, 1916, 2448, 17198, 50828, 7, 80854, 1295, 678, 209, 153939, 117, 903, 47, 76228, 6056, 49129, 160291 ]

[ 0.2393798828125, 0.20458984375, 0.2342529296875, 0.16845703125, 0.05865478515625, 0.2344970703125, 0.143310546875, 0.1585693359375, 0.186279296875, 0.1640625, 0.07391357421875, 0.1822509765625, 0.119140625, 0.1553955078125, 0.061614990234375, 0.1527099609375, 0.08642578125, 0.09014...

embed

54988956_c0

54988956

python

0

Title: duplicate all column in a file Problem title: duplicate all column in a file Tags: python, shell, python-2.7, awk Problem: duplicate all column in a file Code signals: BEGIN, OFS, try.txt, python-2.7

duplicate all column in a file duplicate all column in a file python shell python-2.7 awk BEGIN OFS try.txt python-2.7 duplicate all column in a file I am trying to duplicate all the columns in my file. My file is very large consisting of 600,000 columns and 300 rows - tab separated. Here I am just showing a small part...

[ -0.005584716796875, -0.009033203125, -0.0108642578125, 0.02978515625, 0.003997802734375, -0.0019073486328125, 0.0155029296875, 0.00055694580078125, -0.001983642578125, -0.005889892578125, -0.00567626953125, 0.0390625, 0.00052642822265625, 0.0286865234375, -0.01129150390625, -0.01062011...

[ 171763, 67, 756, 3365, 316, 19, 23, 10, 11435, 17198, 50828, 128019, 5428, 966, 434, 92, 9622, 108526, 180, 36381, 9790, 124326, 87, 444, 31577, 47, 70, 1779, 759, 2646, 4552, 21334, 58055, 6331, 4, 9508, 2668, 15555, 20928, 84797, 1185...

[ 0.269775390625, 0.1484375, 0.1947021484375, 0.1820068359375, 0.1832275390625, 0.07177734375, 0.1070556640625, 0.031463623046875, 0.21435546875, 0.08306884765625, 0.1400146484375, 0.158203125, 0.0836181640625, 0.080810546875, 0.1455078125, 0.1719970703125, 0.04156494140625, 0.135253...

embed

66944545_c0

66944545

python

0

Title: python - best way to stack matrices Problem title: python - best way to stack matrices Tags: python, numpy Problem: python - best way to stack matrices i have two matrices [[0,0,0], [0,0,0], [0,0,0]]

python - best way to stack matrices python - best way to stack matrices python numpy python - best way to stack matrices i have two matrices I would like them v-stacked and h-stacked like this what is the best way to do this?

[ 0.0135498046875, 0.003326416015625, 0.002899169921875, -0.0157470703125, 0.0107421875, -0.0125732421875, -0.009521484375, -0.004058837890625, 0.0113525390625, -0.0128173828125, 0.01214599609375, -0.00811767578125, 0.0177001953125, -0.021484375, -0.041748046875, -0.01177978515625, 0.0...

[ 17198, 50828, 2965, 3917, 47, 177261, 50944, 5170, 13269, 6493, 17, 765, 6626, 2806, 1884, 2856, 81, 590, 76622, 136, 1096, 903, 54 ]

[ 0.117919921875, 0.1781005859375, 0.1253662109375, 0.11962890625, 0.0889892578125, 0.2425537109375, 0.21728515625, 0.1636962890625, 0.06988525390625, 0.134765625, 0.009185791015625, 0.0311279296875, 0.1217041015625, 0.0853271484375, 0.120849609375, 0.027313232421875, 0.1845703125, 0...

embed

71619376_c0

71619376

python

0

Title: Sort python dict by two values Problem title: Sort python dict by two values Tags: python, dictionary, sorting Problem: Sort python dict by two values Code signals: Sort, EKAD, EKADD, KADDLG, ADDLGKG

Sort python dict by two values Sort python dict by two values python dictionary sorting Sort EKAD EKADD KADDLG ADDLGKG Sort python dict by two values I've the following dict of list I wish to get the keys sorted first by value[2] then by length of value[0] string and in reverse order, i.e. the output will be k2, k1, k3...

[ 0.0238037109375, 0.015380859375, -0.015869140625, -0.0213623046875, -0.0159912109375, -0.0032196044921875, -0.0208740234375, -0.006988525390625, 0.002716064453125, 0.0147705078125, 0.0208740234375, 0.017578125, -0.017578125, 0.007232666015625, 0.0003261566162109375, 0.0011749267578125,...

[ 53666, 17198, 50828, 61669, 390, 6626, 142424, 45, 10763, 6635, 12096, 214, 44756, 12351, 111563, 24057, 10855, 39303, 45214, 25632, 111, 5303, 32599, 2046, 22799, 7, 17497, 71, 5117, 34292, 39556, 140909, 2389, 79315, 23, 39531, 12989, 14099...

[ 0.2413330078125, 0.1435546875, 0.18310546875, 0.227783203125, 0.0972900390625, 0.1781005859375, 0.2205810546875, 0.039703369140625, 0.0987548828125, 0.005767822265625, 0.222900390625, 0.04583740234375, 0.08349609375, 0.1241455078125, 0.0819091796875, 0.1051025390625, 0.03378295898437...

embed

74440462_c1

74440462

python

1

. 10. 10. 15. 15. 15. 20. 20. 20. 30. 30. 30. 40. 40. 40. 80. 80. 80. 160. 160. 160. 240. 240. 240. 255. 255. 255.] Code signals: scipy.optimize, curve_fit, Improve, fit_func_xae, Curve, fit_func3xa, Signal

[ 0.02685546875, 0.0017547607421875, 0.00799560546875, 0.0089111328125, 0.00933837890625, -0.0021820068359375, 0.00970458984375, -0.0037841796875, -0.0009765625, 0.03662109375, -0.00640869140625, -0.0185546875, -0.006011962890625, 0.021240234375, 0.0137939453125, -0.0029296875, 0.00854...

[ 6, 5, 4068, 6281, 7085, 496, 1112, 2248, 13442, 30183, 86565, 268, 28864, 26073, 7, 12, 13047, 6493, 100433, 20650, 9709, 272, 16086, 3370, 66187, 11177, 16498, 238, 3798, 13, 17065, 363, 144000 ]

[ 0.01104736328125, 0.07659912109375, 0.1341552734375, 0.135009765625, 0.109375, 0.14892578125, 0.1572265625, 0.150146484375, 0.1641845703125, 0.13818359375, 0.1669921875, 0.054443359375, 0.2288818359375, 0.261474609375, 0.0850830078125, 0.0292816162109375, 0.1361083984375, 0.2053222...

embed

76463808_c2

76463808

python

2

Decode, Length, x9d, x9an, xf9, x15u31r, x04, x95, x93, x0e, xe8, xa0, x07, x18, x98, xe9, x131, x17, xb1, xd5, xd8r, xb5, xd4, xf3, xa4, xe5, x02b, xc49, x13DP, xb6, x96, x94, x99, x92, x7f, xd2, xf6O, xe4

[ 0.0091552734375, 0.014892578125, -0.02392578125, 0.02783203125, 0.0089111328125, 0.000335693359375, -0.00628662109375, 0.0302734375, 0.01202392578125, 0.0419921875, -0.0107421875, -0.0283203125, 0.0186767578125, 0.0024871826171875, -0.0130615234375, -0.000926971435546875, 0.005432128...

[ 262, 40899, 4, 77554, 927, 1022, 1126, 71, 66, 420, 1837, 34, 5016, 42, 7709, 8821, 11591, 2389, 13, 4449, 1019, 2459, 8368, 1819, 16665, 115468, 2489, 275, 418, 758, 617, 363, 9550, 238, 12977, 2681, 28399, 910, 11648, 14889, 5046, 1...

[ 0.243408203125, 0.328857421875, 0.1116943359375, 0.2091064453125, 0.1982421875, 0.1146240234375, 0.18603515625, 0.1484375, 0.1571044921875, 0.10430908203125, 0.166015625, 0.0782470703125, 0.2039794921875, 0.10302734375, 0.2049560546875, 0.227294921875, 0.222412109375, 0.11401367187...

embed

817882_c0

817882

python

0

Title: Unique session id in python Problem title: Unique session id in python Tags: session, python Problem: Unique session id in python How do I generate a unique session id in Python? Code signals: Unique

Unique session id in python Unique session id in python session python Unique Unique session id in python How do I generate a unique session id in Python?

[ 0.01446533203125, 0.0106201171875, 0.0185546875, -0.03515625, 0.005279541015625, 0.0059814453125, 0.004547119140625, 0.0035552978515625, 0.00051116943359375, -0.045166015625, -0.0128173828125, 0.0174560546875, 0.008544921875, 0.0027618408203125, -0.0211181640625, 0.01068115234375, -0...

[ 11789, 944, 56002, 3447, 23, 17198, 50828, 11249, 54, 87, 139392, 10, 36998, 145581 ]

[ 0.1756591796875, 0.15478515625, 0.2388916015625, 0.2144775390625, 0.06927490234375, 0.130615234375, 0.19287109375, 0.0249481201171875, 0.0131683349609375, 0.024688720703125, 0.1529541015625, 0.03790283203125, 0.24462890625, 0.23974609375 ]

embed

21976242_c0

21976242

python

0

Title: Using Regular expression to match Problem title: Using Regular expression to match Tags: python Problem: Using Regular expression to match Code signals: re, Using, Regular, abc$efg, re.match, str.find

Using Regular expression to match Using Regular expression to match python re Using Regular abc$efg re.match str.find Using Regular expression to match I wish to find a symbol '$' present in my string. I want to write a if statement which gives me an error when a $ is present , else prints OK!! I want to achieve this u...

[ -0.0142822265625, 0.01300048828125, -0.006134033203125, 0.0057373046875, 0.0032806396484375, 0.008544921875, -0.009033203125, 0.0380859375, 0.0228271484375, -0.01416015625, 0.00055694580078125, -0.0224609375, -0.00616455078125, -0.006195068359375, 0.00897216796875, -0.0034027099609375,...

[ 345, 47881, 42, 125195, 47, 14858, 17198, 50828, 456, 6953, 1563, 238, 4369, 4240, 177, 98753, 7704, 111607, 32599, 7413, 26582, 13379, 23, 759, 79315, 3444, 33022, 2174, 63805, 76199, 18499, 3229, 3650, 83, 37076, 28412, 14315, 69307, 1736...

[ 0.08349609375, 0.2235107421875, 0.1539306640625, 0.2451171875, 0.0390625, 0.250244140625, 0.092529296875, 0.1466064453125, 0.112060546875, 0.0179595947265625, 0.0789794921875, 0.0217132568359375, 0.1959228515625, 0.076904296875, 0.067138671875, 0.2327880859375, 0.1431884765625, 0.1...

embed

26661556_c0

26661556

python

0

Title: Split list after repeating elements Problem title: Split list after repeating elements Tags: python, list Problem: Split list after repeating elements Code signals: Split, c.append, anotherList.append

Split list after repeating elements Split list after repeating elements python list Split c.append anotherList.append Split list after repeating elements I have this loop for creating a list of coefficients: For example N = [2, 3, 4] would give list c: I want a way of making separate lists after each 1.0 element. For e...

[ -0.01171875, 0.00750732421875, -0.01025390625, 0.0255126953125, -0.019775390625, 0.00689697265625, 0.0033416748046875, 0.0208740234375, 0.031982421875, 0.002288818359375, -0.0108642578125, -0.0050048828125, -0.0284423828125, 0.01226806640625, -0.00860595703125, 0.0125732421875, 0.000...

[ 46474, 5303, 7103, 119140, 214, 80854, 17198, 50828, 501, 9007, 3611, 15700, 154663, 765, 903, 40956, 105233, 552, 4240, 11044, 35066, 1326, 27781, 541, 304, 138, 201, 8337, 3444, 3917, 20662, 84797, 12638, 53855, 12830, 8512, 71, 47644, 21...

[ 0.2349853515625, 0.236083984375, 0.160400390625, 0.27392578125, 0.1341552734375, 0.2020263671875, 0.0638427734375, 0.12939453125, 0.0364990234375, 0.05682373046875, 0.070556640625, 0.1075439453125, 0.1905517578125, 0.0006103515625, 0.01654052734375, 0.1573486328125, 0.07769775390625,...

embed

30223601_c1

30223601

python

1

.NC251.LM5555989565C2-. 215-156 .NSD6C.556562443.MRO232324564612 Code signals: Renaming, filexxxxFA9261, filexxxxFA3040, filexxxxFA5251, FA9261.4586.56641.1212, FA3040.6589.65555.1516, FA5251.3562.65555.5633

[ -0.00103759765625, 0.009521484375, -0.00811767578125, 0.01416015625, 0.0081787109375, 0.004486083984375, 0.0172119140625, 0.016845703125, 0.0198974609375, 0.0498046875, -0.0021820068359375, -0.0123291015625, 0.003082275390625, 0.00982666015625, 0.00732421875, 0.0230712890625, 0.01245...

[ 6, 5, 36253, 2588, 418, 37150, 87357, 188580, 8821, 12424, 441, 18504, 80338, 155740, 22479, 397, 910, 163406, 11548, 14255, 98989, 178509, 1530, 28864, 26073, 7, 12, 15790, 302, 214, 11435, 425, 43883, 14676, 12231, 11540, 1197, 2839, 1274...

[ 0.024383544921875, 0.0875244140625, 0.087890625, 0.2027587890625, 0.087890625, 0.0697021484375, 0.1236572265625, 0.09033203125, 0.0231170654296875, 0.0682373046875, 0.0159912109375, 0.052642822265625, 0.158447265625, 0.176513671875, 0.051910400390625, 0.03631591796875, 0.028701782226...

embed

47774652_c0

47774652

python

0

Title: Python package installation error for openCV Problem title: Python package installation error for openCV Tags: opencv, python Problem: Python package installation error for openCV Code signals: Python

Python package installation error for openCV Python package installation error for openCV opencv python Python Python package installation error for openCV what is the problem ?

[ 0.0167236328125, -0.0017852783203125, -0.0169677734375, -0.0096435546875, -0.002349853515625, -0.00640869140625, -0.0035552978515625, -0.0380859375, -0.0152587890625, 0.04443359375, 0.003570556640625, -0.031494140625, 0.0223388671875, 0.00628662109375, -0.014404296875, 0.0120849609375,...

[ 145581, 98169, 59720, 18499, 100, 9803, 105553, 238, 334, 17198, 50828, 2367, 83, 2967 ]

[ 0.25146484375, 0.195068359375, 0.187744140625, 0.156494140625, 0.04962158203125, 0.166015625, 0.277587890625, 0.057647705078125, 0.189208984375, 0.05841064453125, 0.063720703125, 0.04571533203125, 0.018218994140625, 0.1248779296875 ]

embed

47892383_c0

47892383

python

0

Title: Select multiple elements per row in numpy Problem title: Select multiple elements per row in numpy Tags: python, numpy Problem: Select multiple elements per row in numpy Code signals: Select, np.array

Select multiple elements per row in numpy Select multiple elements per row in numpy python numpy Select np.array Select multiple elements per row in numpy With How can I get Numpy to give me the elements of ad with the indexes of cp[0,:] as first row (the indexes are [2,3,1,1,2,0] so the first row should be [0.9, 0.1, ...

[ -0.00482177734375, 0.01177978515625, 0.01611328125, 0.029296875, -0.02685546875, -0.01104736328125, 0.0113525390625, 0.01129150390625, 0.0272216796875, 0.0194091796875, 0.0125732421875, -0.00921630859375, -0.0067138671875, 0.0220947265625, -0.0277099609375, 0.003570556640625, 0.01745...

[ 51620, 48716, 80854, 117, 15555, 23, 13269, 6493, 17198, 50828, 25037, 19305, 17106, 11249, 831, 2046, 52782, 8337, 163, 606, 678, 63262, 111, 501, 254, 2389, 12, 237, 5117, 621, 155761, 216969, 70, 5608, 143161, 4, 107754, 132208, 81730, ...

[ 0.1968994140625, 0.231201171875, 0.219482421875, 0.1385498046875, 0.233642578125, 0.058990478515625, 0.17822265625, 0.2578125, 0.0821533203125, 0.100341796875, 0.1737060546875, 0.096923828125, 0.03216552734375, 0.004364013671875, 0.02484130859375, 0.043365478515625, 0.18408203125, ...

embed

51694251_c0

51694251

python

0

Title: Subtract rows by using diff() method Problem title: Subtract rows by using diff() method Tags: python, python-2.7 Problem: Subtract rows by using diff() method Code signals: diff, Subtract, python-2.7

Subtract rows by using diff() method Subtract rows by using diff() method python python-2.7 diff Subtract python-2.7 Subtract rows by using diff() method I'm a beginner in Python. I have this cumulative hourly energy consumption for one day: What I'm trying to do is getting the hourly energy consumption by subtracting ...

[ 0.00372314453125, 0.018310546875, 0.01312255859375, 0.050048828125, -0.0184326171875, -0.035888671875, 0.00872802734375, 0.03955078125, 0.001220703125, 0.007171630859375, -0.0164794921875, -0.0283203125, -0.0064697265625, 0.007781982421875, -0.005035400390625, 0.0054931640625, 0.0083...

[ 8273, 39989, 18, 15555, 7, 17368, 71337, 132, 55300, 17198, 50828, 5428, 966, 9842, 1679, 145581, 1452, 202, 45023, 56816, 538, 48302, 18588, 254, 100, 1632, 5155, 31577, 20949, 1614, 41928, 11737, 17378, 458, 8705, 36746, 1556, 110, 150380...

[ 0.1141357421875, 0.16357421875, 0.029541015625, 0.205322265625, 0.052032470703125, 0.02752685546875, 0.26708984375, 0.0921630859375, 0.1439208984375, 0.05987548828125, 0.11279296875, 0.04827880859375, 0.072998046875, 0.01220703125, 0.011077880859375, 0.1983642578125, 0.0694580078125,...

embed

10665404_c0

10665404

python

0

Title: Rendering a cube in OpenGL Problem title: Rendering a cube in OpenGL Tags: opengl, python, pyqt Problem: Rendering a cube in OpenGL Code signals: Rendering, OpenGL, make_cube, glColor3f, GL.glVertex3d

Rendering a cube in OpenGL Rendering a cube in OpenGL opengl python pyqt Rendering OpenGL make_cube glColor3f GL.glVertex3d Rendering a cube in OpenGL I'm trying to program a rotaing cube. Therefore I generate a cube using my make_cube method. Unfortunatly some faces of the cube don't get rendered. I tried a lot I don'...

[ 0.0038909912109375, -0.00118255615234375, -0.0035552978515625, -0.00147247314453125, 0.021728515625, 0.00775146484375, 0.00408935546875, -0.000591278076171875, 0.013916015625, 0.0126953125, -0.0012359619140625, -0.045166015625, 0.0162353515625, 0.001495361328125, -0.032470703125, 0.014...

[ 63137, 4209, 314, 372, 13527, 78703, 23, 9803, 11016, 50828, 18, 3249, 1010, 39575, 1484, 90799, 24371, 363, 31577, 1528, 47014, 214, 139392, 10, 55300, 104272, 3060, 2577, 2301, 2046, 79516, 37842, 5915, 28219, 15400, 83, 959, 3355, 106813...

[ 0.135009765625, 0.045989990234375, 0.1939697265625, 0.204833984375, 0.13134765625, 0.2091064453125, 0.0230865478515625, 0.1097412109375, 0.175048828125, 0.0830078125, 0.0386962890625, 0.08782958984375, 0.1614990234375, 0.01544189453125, 0.034454345703125, 0.04925537109375, 0.01049804...

embed

6044326_c0

6044326

python

0

Title: How to connect Python to Db2 Problem title: How to connect Python to Db2 Tags: db2, python Problem: How to connect Python to Db2 Is there a way to connect Python to Db2? Code signals: How, Python, Db2

How to connect Python to Db2 How to connect Python to Db2 db2 python How Python Db2 How to connect Python to Db2 Is there a way to connect Python to Db2?

[ 0.01025390625, 0.0167236328125, 0.01239013671875, 0.0296630859375, 0.004058837890625, 0.02685546875, -0.0111083984375, -0.015869140625, -0.00933837890625, -0.01806640625, 0.01318359375, -0.01397705078125, 0.0062255859375, -0.00628662109375, -0.0303955078125, -0.01336669921875, -0.030...

[ 11249, 37067, 145581, 47, 391, 275, 304, 40041, 17198, 50828, 3917 ]

[ 0.07183837890625, 0.169189453125, 0.27294921875, 0.1422119140625, 0.09503173828125, 0.1883544921875, 0.2152099609375, 0.16259765625, 0.1087646484375, 0.12939453125, 0.049957275390625 ]

embed

63336397_c0

63336397

python

0

Title: peewee datetime field to microsecond Problem title: peewee datetime field to microsecond Tags: python, peewee Problem: peewee datetime field to microsecond Code signals: test, BaseModel, DateTimeField

peewee datetime field to microsecond peewee datetime field to microsecond python peewee test BaseModel DateTimeField peewee datetime field to microsecond I define my data field as and I insert a bunch of data with format same with 2005-06-03 16:12:01.215908 , I check the table with select start from test; I looked up t...

[ -0.00091552734375, -0.0093994140625, 0.00408935546875, 0.01458740234375, -0.024658203125, 0.0018768310546875, 0.018798828125, 0.00811767578125, 0.01141357421875, -0.0245361328125, 0.01214599609375, 0.0279541015625, 0.0162353515625, 0.00045013427734375, -0.0022125244140625, -0.013916015...

[ 280, 13, 1177, 5622, 6032, 44457, 47, 11948, 191633, 17198, 50828, 3034, 44978, 140290, 25512, 70059, 6159, 19388, 61924, 2053, 237, 183540, 147306, 9384, 5701, 4078, 44037, 9513, 12975, 8318, 12765, 23180, 36849, 4034, 1295, 12937, 29713, 10...

[ 0.1075439453125, 0.094970703125, 0.1712646484375, 0.137451171875, 0.1954345703125, 0.2222900390625, 0.125, 0.1383056640625, 0.233642578125, 0.041259765625, 0.123046875, 0.197998046875, 0.1168212890625, 0.1962890625, 0.1187744140625, 0.1439208984375, 0.0965576171875, 0.1622314453125...

embed

54959945_c0

54959945

python

0

Title: Python numpy indexing inconsistency Problem title: Python numpy indexing inconsistency Tags: numpy, indexing, python Problem: Python numpy indexing inconsistency Code signals: numpy, Python, np.arange

Python numpy indexing inconsistency Python numpy indexing inconsistency numpy indexing python numpy Python np.arange Python numpy indexing inconsistency generates the following: Why do print(a[0:2]) and print(a[7:9]) show arrays of only 2 elements?

[ 0.0019683837890625, 0.006439208984375, -0.006988525390625, -0.00119781494140625, 0.0123291015625, 0.0025177001953125, 0.008056640625, 0.0034637451171875, 0.01483154296875, 0.00170135498046875, -0.00579833984375, 0.00799560546875, 0.00732421875, 0.015869140625, 0.00897216796875, -0.0228...

[ 145581, 13269, 6493, 63262, 214, 23, 25553, 6892, 17198, 50828, 25037, 11, 94250, 2408, 139392, 70, 25632, 44084, 28412, 2389, 12, 90173, 136, 966, 1126, 7639, 10298, 4778, 111, 4734, 116, 80854 ]

[ 0.2359619140625, 0.14501953125, 0.169921875, 0.199462890625, 0.078369140625, 0.1065673828125, 0.1451416015625, 0.188720703125, 0.08721923828125, 0.10003662109375, 0.1546630859375, 0.08203125, 0.16943359375, 0.027069091796875, 0.1217041015625, 0.046661376953125, 0.0318603515625, 0.0...

embed