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75239271_c0
75239271
python
0
Title: Make dict from array in python Problem title: Make dict from array in python Tags: arrays, dictionary, numpy, python Problem: Make dict from array in python Code signals: array, Make
Make dict from array in python Make dict from array in python arrays dictionary numpy python array Make Make dict from array in python I want to make a dictionary from a given array. I have this one. And I want to get this How can I get this?
[ -0.00421142578125, 0.00830078125, -0.018310546875, -0.00885009765625, -0.00537109375, -0.00909423828125, -0.0172119140625, 0.004180908203125, -0.00958251953125, -0.005340576171875, -0.017822265625, 0.000110626220703125, -0.004608154296875, 0.0225830078125, -0.01446533203125, 0.00057983...
[ 26176, 61669, 1295, 10298, 53, 23, 17198, 50828, 4778, 45, 10763, 6635, 13269, 6493, 3444, 3249, 34475, 903, 1632, 2046, 831 ]
[ 0.1334228515625, 0.2509765625, 0.1551513671875, 0.17626953125, 0.1260986328125, 0.0633544921875, 0.1129150390625, 0.16943359375, 0.09375, 0.1025390625, 0.169189453125, 0.1556396484375, 0.0672607421875, 0.1353759765625, 0.0784912109375, 0.07415771484375, 0.06903076171875, 0.04541015...
embed
8381735_c0
8381735
python
0
Title: How to toggle a value? Problem title: How to toggle a value? Tags: python Problem: How to toggle a value? What is the most efficient way to toggle between 0 and 1 ? Code signals: How
How to toggle a value? How to toggle a value? python How How to toggle a value? What is the most efficient way to toggle between 0 and 1 ?
[ -0.0164794921875, -0.006622314453125, -0.00982666015625, -0.01409912109375, -0.0146484375, -0.00830078125, -0.0208740234375, 0.00125885009765625, 0.00141143798828125, -0.003875732421875, 0.00537109375, 0.021484375, -0.003265380859375, 0.01141357421875, 0.01092529296875, -0.006286621093...
[ 11249, 47, 129384, 10, 34292, 32, 17198, 50828, 2684, 93766, 3917, 17721, 757, 136, 106 ]
[ 0.14794921875, 0.1983642578125, 0.298828125, 0.09930419921875, 0.26708984375, 0.043731689453125, 0.0853271484375, 0.15380859375, 0.087158203125, 0.194580078125, 0.06353759765625, 0.13330078125, 0.1773681640625, 0.1209716796875, 0.1326904296875 ]
embed
24023246_c0
24023246
python
0
Title: pandas: Grouping by time stamp Problem title: pandas: Grouping by time stamp Tags: python, pandas Problem: pandas: Grouping by time stamp Code signals: Grouping, data_frame, NaT, TIME
pandas: Grouping by time stamp pandas: Grouping by time stamp python pandas Grouping data_frame NaT TIME pandas: Grouping by time stamp I need to group on a minute-by-minute basis. For eg, It should be able to say 2014-06-03 05:04 : 2 , 2014-06-03 05:03 : 1 How can I do this in pandas? UPDATE: DATA is actually this: Ho...
[ 0.01953125, 0.0172119140625, 0.007781982421875, -0.003387451171875, -0.005218505859375, -0.02099609375, -0.006011962890625, -0.007080078125, 0.0018768310546875, 0.0035552978515625, -0.006317138671875, -0.024658203125, -0.0206298828125, -0.00286865234375, -0.021240234375, 0.014770507812...
[ 2652, 1124, 10760, 214, 390, 1733, 106507, 17198, 50828, 2053, 160328, 353, 618, 110500, 87, 3871, 47, 21115, 98, 15393, 1272, 67403, 18231, 30046, 5608, 19048, 5154, 1049, 44037, 9513, 4777, 33296, 116, 4, 28724, 106, 11249, 831, 54, 903...
[ 0.1494140625, 0.184326171875, 0.22900390625, 0.08917236328125, 0.0989990234375, 0.1182861328125, 0.23974609375, 0.0628662109375, 0.146728515625, 0.1038818359375, 0.1937255859375, 0.08935546875, 0.1143798828125, 0.2056884765625, 0.00634765625, 0.122314453125, 0.0556640625, 0.2648925...
embed
28282717_c0
28282717
python
0
Title: Display 2D sudoku board in python Problem title: Display 2D sudoku board in python Tags: python, 2d, sudoku Problem: Display 2D sudoku board in python Code signals: Display, ABCDEFGHI
Display 2D sudoku board in python Display 2D sudoku board in python python 2d sudoku Display ABCDEFGHI Display 2D sudoku board in python i am trying to display a 2D sudoku board in python like this: I managed to display the board without the seperation lines using this code: values is a dictionary {'A1':'0', 'A2':'0', ...
[ 0.0301513671875, -0.0037994384765625, 0.007049560546875, 0.0135498046875, 0.01611328125, 0.0157470703125, 0.01171875, 0.002197265625, -0.010498046875, 0.04345703125, 0.012451171875, -0.04345703125, -0.00677490234375, 0.00836181640625, -0.038818359375, 0.006500244140625, -0.0067443847...
[ 90045, 116, 397, 8932, 38067, 45443, 23, 17198, 50828, 71, 47457, 202001, 724, 21159, 31577, 44116, 1884, 145755, 15490, 40, 1264, 124519, 18151, 142424, 83, 45, 10763, 284, 418, 2389, 304, 363, 617, 758, 140992, 4358 ]
[ 0.1490478515625, 0.1190185546875, 0.1116943359375, 0.1273193359375, 0.203369140625, 0.1956787109375, 0.001861572265625, 0.1002197265625, 0.151611328125, 0.078125, 0.06695556640625, 0.1412353515625, 0.01617431640625, 0.0899658203125, 0.021453857421875, 0.1617431640625, 0.0014038085937...
embed
36003967_c0
36003967
python
0
Title: Sum of multiple list of lists index wise Problem title: Sum of multiple list of lists index wise Tags: list, python Problem: Sum of multiple list of lists index wise Code signals: Sum
Sum of multiple list of lists index wise Sum of multiple list of lists index wise list python Sum Sum of multiple list of lists index wise Consider I have a list of lists as: Now I want the sum of all indexes of first list's index wise and then the 2nd list 5+15+34=54 10+10+20=40 and so on as: I tried: Here results is ...
[ 0.01129150390625, 0.0125732421875, -0.00274658203125, 0.0137939453125, -0.03759765625, -0.00101470947265625, 0.00244140625, 0.0126953125, 0.019287109375, -0.005279541015625, -0.0196533203125, -0.035400390625, 0.00634765625, 0.0284423828125, 0.0086669921875, -0.0052490234375, 0.014221...
[ 36335, 111, 48716, 5303, 7, 63262, 90825, 17198, 50828, 137399, 765, 237, 3444, 70, 10554, 756, 5117, 116, 2208, 190, 1328, 1837, 10289, 1369, 12338, 209, 963, 1549, 2839, 37842, 50339, 5, 4966, 76199, 12638, 35735 ]
[ 0.21728515625, 0.10028076171875, 0.241943359375, 0.2298583984375, 0.1029052734375, 0.177734375, 0.214599609375, 0.089599609375, 0.166259765625, 0.0631103515625, 0.0086669921875, 0.05987548828125, 0.104248046875, 0.0123291015625, 0.216796875, 0.04986572265625, 0.060333251953125, 0.0...
embed
38235183_c0
38235183
python
0
Title: Python dictionary data manipulation Problem title: Python dictionary data manipulation Tags: python, dictionary, list Problem: Python dictionary data manipulation Code signals: Python
Python dictionary data manipulation Python dictionary data manipulation python dictionary list Python Python dictionary data manipulation I have the following dataset in Python: I want to make a dictionary with country data like this: What should I do? I cannot use the following code: as I could in an ordinary dictiona...
[ 0.0224609375, 0.019287109375, -0.007598876953125, -0.0030517578125, -0.0025787353515625, 0.00102996826171875, -0.00628662109375, 0.00701904296875, -0.0191650390625, 0.0277099609375, -0.007110595703125, -0.030517578125, -0.0024566650390625, 0.0205078125, -0.005157470703125, 0.0089111328...
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[ 0.260498046875, 0.109130859375, 0.1688232421875, 0.150146484375, 0.166015625, 0.201171875, 0.01239013671875, 0.0946044921875, 0.0986328125, 0.102783203125, 0.01226806640625, 0.07171630859375, 0.1258544921875, 0.0531005859375, 0.07733154296875, 0.06878662109375, 0.0697021484375, 0.1...
embed
42871427_c0
42871427
python
0
Title: unable to install Boto3 on windows Problem title: unable to install Boto3 on windows Tags: boto3, python Problem: unable to install Boto3 on windows Code signals: Boto3, boto3-develop
unable to install Boto3 on windows unable to install Boto3 on windows boto3 python Boto3 boto3-develop unable to install Boto3 on windows I am getting below exception after running pip install boto3 command
[ 0.0005645751953125, 0.018310546875, 0.0074462890625, -0.0172119140625, -0.023681640625, 0.004180908203125, 0.00135040283203125, -0.02001953125, -0.001983642578125, 0.032470703125, -0.010009765625, -0.01708984375, 0.026611328125, 0.0028533935546875, -0.002197265625, 0.0191650390625, 0...
[ 51, 2886, 20600, 2460, 188, 363, 98, 54825, 116148, 17198, 50828, 27495, 229815, 35064, 131527, 7103, 51042, 2147, 254, 75101 ]
[ 0.0133056640625, 0.1453857421875, 0.1988525390625, 0.1317138671875, 0.2335205078125, 0.2220458984375, 0.054046630859375, 0.144775390625, 0.193603515625, 0.030517578125, 0.087890625, 0.1446533203125, 0.1341552734375, 0.135986328125, 0.145263671875, 0.002471923828125, 0.035400390625, ...
embed
46544554_c0
46544554
python
0
Title: Create specific array using numpy Problem title: Create specific array using numpy Tags: numpy, python Problem: Create specific array using numpy Code signals: numpy, Create, np.mgrid
Create specific array using numpy Create specific array using numpy numpy python numpy Create np.mgrid Create specific array using numpy I wanted to create this kind of array using numpy: To which I can access via: I've tried to create an array this way, but it's not complete: Do you have any idea how to solve this usi...
[ 0.020751953125, 0.007049560546875, -0.01507568359375, 0.012939453125, 0.0074462890625, 0.0108642578125, 0.00592041015625, 0.020751953125, 0.0308837890625, 0.033447265625, 0.0108642578125, -0.021728515625, 0.003997802734375, -0.006805419921875, -0.0250244140625, 0.005401611328125, -0....
[ 151313, 29458, 10298, 53, 17368, 13269, 6493, 17198, 50828, 25037, 5, 39, 120067, 36663, 28282, 903, 8562, 717, 831, 17203, 1829, 272, 37842, 3917, 1284, 959, 28484, 6528, 86869 ]
[ 0.1204833984375, 0.2125244140625, 0.23095703125, 0.170166015625, 0.072998046875, 0.1773681640625, 0.25830078125, 0.05279541015625, 0.115234375, 0.1702880859375, 0.022125244140625, 0.07318115234375, 0.27783203125, 0.08660888671875, 0.1322021484375, 0.070068359375, 0.1143798828125, 0...
embed
12416796_c0
12416796
python
0
Title: Manipulating an image in python Problem title: Manipulating an image in python Tags: python-imaging-library, python Problem: Manipulating an image in python Code signals: Manipulating
Manipulating an image in python Manipulating an image in python python-imaging-library python Manipulating Manipulating an image in python I have this set of data: What I want to do is create an image from this data. I know its not going to be easy, but basically I want to use something like PIL to create an image, I w...
[ 0.00762939453125, 0.016357421875, -0.01953125, 0.018798828125, 0.0023956298828125, 0.00921630859375, -0.0026092529296875, 0.00360107421875, 0.005035400390625, -0.00701904296875, 0.008056640625, 0.004730224609375, -0.000659942626953125, 0.0294189453125, -0.02001953125, -0.0067138671875,...
[ 221169, 26518, 29569, 23, 17198, 50828, 142, 1352, 9966, 150, 2844, 765, 903, 5423, 2053, 3444, 54, 83, 28282, 1295, 3714, 6863, 959, 7730, 186, 23468, 198343, 4527, 1884, 146097, 47, 87, 7639, 8562, 1909, 41382, 678, 2806, 58696, 6637, ...
[ 0.2432861328125, 0.0965576171875, 0.2210693359375, 0.0743408203125, 0.13134765625, 0.1748046875, 0.0168609619140625, 0.1204833984375, 0.06817626953125, 0.016845703125, 0.09332275390625, 0.048126220703125, 0.04864501953125, 0.08587646484375, 0.1644287109375, 0.113525390625, 0.05813598...
embed
16344009_c0
16344009
python
0
Title: Write list of tuples to txt file Problem title: Write list of tuples to txt file Tags: tuples, list, python Problem: Write list of tuples to txt file Code signals: Write, graphd.close
Write list of tuples to txt file Write list of tuples to txt file tuples list python Write graphd.close Write list of tuples to txt file Consider this list of tuples: I'd like to write the information to a txt file in this format: I've been using this code: where: fname is the path to the file list is the list of tuple...
[ 0.01104736328125, 0.0225830078125, 0.0045166015625, 0.00982666015625, -0.00164794921875, -0.00634765625, -0.00933837890625, 0.008544921875, 0.004730224609375, 0.0191650390625, -0.01092529296875, -0.014404296875, -0.0107421875, 0.005462646484375, 0.01312255859375, 0.024658203125, 0.00...
[ 601, 18781, 5303, 111, 370, 99726, 47, 124326, 11435, 17198, 50828, 41382, 71, 155648, 137399, 1884, 33022, 4677, 903, 9384, 17368, 18151, 7440, 1238, 11627, 60875, 50339, 20903, 1284, 7464, 959, 2367, 3444 ]
[ 0.04522705078125, 0.110107421875, 0.1763916015625, 0.04925537109375, 0.153564453125, 0.23388671875, 0.115966796875, 0.251220703125, 0.1484375, 0.047943115234375, 0.1099853515625, 0.196533203125, 0.159423828125, 0.1915283203125, 0.028472900390625, 0.076171875, 0.134033203125, 0.1234...
embed
17935871_c0
17935871
python
0
Title: Python read specific data table Problem title: Python read specific data table Tags: python-3.x, python Problem: Python read specific data table Code signals: here, Python, python-3.x
Python read specific data table Python read specific data table python-3.x python here Python python-3.x Python read specific data table What i'm working on is something like this: cell 21 multiplier: 1.02400E+00 3 103 time also i need to add the numbers like 3.74282E-06 + 3.80566E-06 + 3.96633E-06+ ....0.00000E+00 = 3...
[ 0.0172119140625, 0.01434326171875, -0.01068115234375, 0.00860595703125, -0.00213623046875, -0.00130462646484375, 0.0194091796875, 0.006866455078125, 0.005279541015625, 0.0079345703125, 0.007598876953125, -0.0361328125, -0.019287109375, 0.01708984375, -0.0081787109375, 0.001815795898437...
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[ 0.236572265625, 0.220703125, 0.2392578125, 0.1412353515625, 0.2183837890625, 0.089111328125, 0.1524658203125, 0.1358642578125, 0.103515625, 0.090087890625, 0.1142578125, 0.040771484375, 0.010986328125, 0.045928955078125, 0.0164794921875, 0.207763671875, 0.2069091796875, 0.210449218...
embed
60767397_c0
60767397
python
0
Title: pandas series get specified time period Problem title: pandas series get specified time period Tags: python, pandas Problem: pandas series get specified time period Code signals: au5a
pandas series get specified time period pandas series get specified time period python pandas au5a pandas series get specified time period i want to get 8:00-9:00 all data,unlimited dates, just need to meet the condition of 8: 00-9: 00
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[ 0.158447265625, 0.17724609375, 0.208251953125, 0.120849609375, 0.2342529296875, 0.10693359375, 0.17919921875, 0.2198486328125, 0.0982666015625, 0.1353759765625, 0.1329345703125, 0.1484375, 0.08062744140625, 0.00152587890625, 0.10595703125, 0.2147216796875, 0.186279296875, 0.1601562...
embed
62605283_c0
62605283
python
0
Title: Split string In Numpy array Problem title: Split string In Numpy array Tags: arrays, numpy, python Problem: Split string In Numpy array Code signals: Split, Numpy, sol1, np.char.split
Split string In Numpy array Split string In Numpy array arrays numpy python Split Numpy sol1 np.char.split Split string In Numpy array I am meeting a trouble when i try spliting a numpy array with numpy.char.split() . the return was that strings was sliced into list type , whereas i want to return a numpy array nested ...
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[ 0.2197265625, 0.242919921875, 0.118408203125, 0.1435546875, 0.2047119140625, 0.1748046875, 0.0927734375, 0.00677490234375, 0.1058349609375, 0.058502197265625, 0.09515380859375, 0.1304931640625, 0.0133056640625, 0.09283447265625, 0.14794921875, 0.07275390625, 0.1844482421875, 0.0482...
embed
53342735_c0
53342735
python
0
Title: assigning values to a matrix in python Problem title: assigning values to a matrix in python Tags: numpy, python Problem: assigning values to a matrix in python Code signals: np.zeros
assigning values to a matrix in python assigning values to a matrix in python numpy python np.zeros assigning values to a matrix in python I want to store this: Into a matrix. I tried this: But that gives me the wrong matrix that looks like this: When the output show be this: Note that is not all the elements just some...
[ 0.0277099609375, -0.0020294189453125, 0.01470947265625, -0.001678466796875, 0.004058837890625, -0.0208740234375, -0.00131988525390625, 0.005859375, 0.007537841796875, 0.044677734375, 0.01177978515625, -0.0250244140625, 0.01513671875, -0.006805419921875, -0.0311279296875, -0.00570678710...
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[ 0.251220703125, 0.07354736328125, 0.211181640625, 0.1612548828125, 0.067626953125, 0.21826171875, 0.135498046875, 0.06494140625, 0.1363525390625, 0.188720703125, 0.07965087890625, 0.1290283203125, 0.1396484375, 0.2181396484375, 0.048431396484375, 0.01092529296875, 0.0823974609375, ...
embed
53688157_c0
53688157
python
0
Title: How to create python game board Problem title: How to create python game board Tags: dataframe, format, nested-lists, python Problem: How to create python game board Code signals: How
How to create python game board How to create python game board dataframe format nested-lists python How How to create python game board I need help with creating something like this. (I´m just a beginner and I need some inspiration on how to create this board with these numbers, this board should parameter n, with thi...
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[ 0.098876953125, 0.1007080078125, 0.1865234375, 0.1611328125, 0.194580078125, 0.1917724609375, 0.278076171875, 0.082275390625, 0.2059326171875, 0.152099609375, 0.1917724609375, 0.0960693359375, 0.202880859375, 0.013824462890625, 0.0960693359375, 0.091796875, 0.0679931640625, 0.14709...
embed
67331118_c0
67331118
python
0
Title: 2d Arrays-lists in Python Problem title: 2d Arrays-lists in Python Tags: python, python-3.x Problem: 2d Arrays-lists in Python Code signals: Arrays-lists, Python, a.append, python-3.x
2d Arrays-lists in Python 2d Arrays-lists in Python python python-3.x Arrays-lists Python a.append python-3.x 2d Arrays-lists in Python How can ı change this code to make list like [[0],[0,1],[0,1,2]] output = [[0, 1, 2], [0, 1, 2], [0, 1, 2]]
[ 0.0203857421875, 0.0206298828125, 0.005523681640625, 0.01300048828125, 0.000492095947265625, 0.0157470703125, 0.0003509521484375, 0.00885009765625, 0.0118408203125, 0.0240478515625, 0.0242919921875, -0.007080078125, 0.0015869140625, 0.006378173828125, -0.0294189453125, -0.0081787109375...
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embed
77693922_c2
77693922
python
2
01, x08, x18, x00T4, x8d, x004, xa0, x91, x90, xd3, xd2, x14, xd6v, x85, xf0, x0fD, xc3A, xe09, xe1, x8b, x04Y, x13, xc0B, x99, xf1Qa, xc9, xe1BC, x9a, xc6, xb1L, x0b, x05z, x00X, x002, x01h
01, x08, x18, x00T4, x8d, x004, xa0, x91, x90, xd3, xd2, x14, xd6v, x85, xf0, x0fD, xc3A, xe09, xe1, x8b, x04Y, x13, xc0B, x99, xf1Qa, xc9, xe1BC, x9a, xc6, xb1L, x0b, x05z, x00X, x002, x01h
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[ 0.25439453125, 0.140380859375, 0.1585693359375, 0.281005859375, 0.2685546875, 0.1798095703125, 0.1243896484375, 0.2099609375, 0.1549072265625, 0.12939453125, 0.28369140625, 0.1602783203125, 0.1795654296875, 0.255859375, 0.24609375, 0.146484375, 0.093994140625, 0.178466796875, 0.1...
embed
79005961_c2
79005961
python
2
a05f9c09-c497-442e-b1bb-f9de45b63100, f84ddfc6-fc77-4143-bee5-a806886928b2, d033c96a-b917-4c35-a508-b2b78c921c00, e0a92cc9-f88e-42da-85a6-cc3c7ba396ab, New-MgServicePrincipal_CreateExpanded
a05f9c09-c497-442e-b1bb-f9de45b63100, f84ddfc6-fc77-4143-bee5-a806886928b2, d033c96a-b917-4c35-a508-b2b78c921c00, e0a92cc9-f88e-42da-85a6-cc3c7ba396ab, New-MgServicePrincipal_CreateExpanded
[ 0.00185394287109375, 0.009521484375, -0.027587890625, 0.0390625, 0.0252685546875, 0.0029754638671875, 0.015869140625, 0.0191650390625, 0.015625, -0.00177001953125, 0.0059814453125, 0.01318359375, 0.021728515625, 0.000774383544921875, -0.0189208984375, 0.017822265625, 0.00294494628906...
[ 10, 8194, 420, 1126, 6463, 9, 170599, 161041, 13, 5125, 112, 4633, 275, 15748, 3559, 4, 1238, 13903, 128205, 910, 140443, 14546, 11565, 139662, 372, 55426, 11, 4836, 134900, 14212, 3882, 304, 104, 9513, 11648, 2489, 5843, 2525, 19051, 238...
[ 0.082763671875, 0.134033203125, 0.0242462158203125, 0.06951904296875, 0.1839599609375, 0.040679931640625, 0.2197265625, 0.1788330078125, 0.06195068359375, 0.0953369140625, 0.103515625, 0.103515625, 0.039398193359375, 0.134521484375, 0.1729736328125, 0.0634765625, 0.04144287109375, ...
embed
35667461_c0
35667461
python
0
Title: How do i encrypt with my dictionary Problem title: How do i encrypt with my dictionary Tags: python Problem: How do i encrypt with my dictionary Code signals: How, cipher_dict, ROADWAY
How do i encrypt with my dictionary How do i encrypt with my dictionary python How cipher_dict ROADWAY How do i encrypt with my dictionary Hi so i created this dictionary My question is, can I use this for encryption and decryption ? If yes, how can I make the keys and values become strings? For example if I want to en...
[ 0.00347900390625, -0.0247802734375, -0.01141357421875, -0.0240478515625, -0.0291748046875, -0.0220947265625, 0.015380859375, 0.004302978515625, 0.006011962890625, -0.0157470703125, -0.00164031982421875, 0.00084686279296875, -0.01312255859375, 0.04638671875, -0.0023040771484375, -0.0082...
[ 11249, 54, 17, 22, 136791, 678, 759, 45, 10763, 6635, 17198, 50828, 1059, 94266, 61669, 19452, 12351, 140478, 75935, 903, 9655, 831, 4527, 100, 1830, 136, 8, 72272, 3642, 3249, 22799, 142424, 24209, 79315, 3444, 14255, 5809, 6183, 3525, 5...
[ 0.0994873046875, 0.06036376953125, 0.1085205078125, 0.112548828125, 0.27490234375, 0.1865234375, 0.1009521484375, 0.1103515625, 0.19482421875, 0.1458740234375, 0.0950927734375, 0.171875, 0.05584716796875, 0.19091796875, 0.169189453125, 0.100830078125, 0.1307373046875, 0.212890625, ...
embed
42083742_c0
42083742
python
0
Title: Keep access log file in python 2.7 Problem title: Keep access log file in python 2.7 Tags: python-2.7, python Problem: Keep access log file in python 2.7 Code signals: Keep, python-2.7
Keep access log file in python 2.7 Keep access log file in python 2.7 python-2.7 python Keep python-2.7 Keep access log file in python 2.7 If I have log file I want the result like this result and save result in csv file
[ 0.0269775390625, 0.01904296875, -0.0040283203125, 0.0091552734375, 0.0086669921875, 0.01025390625, -0.00439453125, 0.00811767578125, -0.0034332275390625, -0.016845703125, 0.02392578125, 0.0128173828125, 0.004913330078125, -0.0032196044921875, -0.01287841796875, -0.0196533203125, -0.0...
[ 83041, 17203, 12684, 11435, 23, 17198, 50828, 787, 966, 5428, 765, 3444, 70, 16750, 1884, 903, 30098, 20763, 334 ]
[ 0.1871337890625, 0.2034912109375, 0.1888427734375, 0.1715087890625, 0.0701904296875, 0.1087646484375, 0.1551513671875, 0.0966796875, 0.1475830078125, 0.06097412109375, 0.06646728515625, 0.1109619140625, 0.0240936279296875, 0.1396484375, 0.1175537109375, 0.0614013671875, 0.12353515625...
embed
47486190_c0
47486190
python
0
Title: Create a peak column in dataframe Problem title: Create a peak column in dataframe Tags: pandas, python Problem: Create a peak column in dataframe Code signals: Create, cumulative_perf
Create a peak column in dataframe Create a peak column in dataframe pandas python Create cumulative_perf Create a peak column in dataframe I have a dataframe df which looks like: I am trying to add a column called peak that will look at the cumulative_perf for the date and compare it to the peak value from yesterday an...
[ 0.01300048828125, -0.0038604736328125, -0.002471923828125, 0.006378173828125, 0.0252685546875, -0.001068115234375, -0.0032501220703125, 0.0011138916015625, 0.0059814453125, -0.0106201171875, 0.006561279296875, 0.0341796875, 0.0245361328125, 0.0205078125, -0.0152587890625, -0.0043640136...
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[ 0.143798828125, 0.01763916015625, 0.181396484375, 0.2320556640625, 0.184326171875, 0.20556640625, 0.1256103515625, 0.052154541015625, 0.147705078125, 0.305908203125, 0.0709228515625, 0.111572265625, 0.0673828125, 0.1395263671875, 0.14111328125, 0.1300048828125, 0.1553955078125, 0.1...
embed
47639688_c0
47639688
python
0
Title: Aggregate time series in numpy Problem title: Aggregate time series in numpy Tags: python, aggregate, numpy, time-series Problem: Aggregate time series in numpy Code signals: Aggregate
Aggregate time series in numpy Aggregate time series in numpy python aggregate numpy time-series Aggregate Aggregate time series in numpy I am trying to aggregate a variable onto time slots, but I am not sure how to do this in a Pythonic way. My plan is to aggregate it every ten seconds. My time data is the first colum...
[ 0.0228271484375, 0.01336669921875, 0.003875732421875, -0.00167083740234375, -0.00098419189453125, -0.03173828125, -0.01202392578125, 0.0250244140625, 0.00054168701171875, -0.024658203125, -0.007293701171875, -0.000911712646484375, 0.0093994140625, 0.0164794921875, -0.01507568359375, 0....
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[ 0.08563232421875, 0.22900390625, 0.08221435546875, 0.176513671875, 0.2218017578125, 0.1575927734375, 0.2230224609375, 0.0234375, 0.0897216796875, 0.1395263671875, 0.24365234375, 0.10986328125, 0.2032470703125, 0.04730224609375, 0.2222900390625, 0.0166015625, 0.05462646484375, 0.188...
embed
68329006_c0
68329006
python
0
Title: I need correct regex for time markers in video Problem title: I need correct regex for time markers in video Tags: regex, python Problem: I need correct regex for time markers in video
I need correct regex for time markers in video I need correct regex for time markers in video regex python I need correct regex for time markers in video I need to write a regular expression to find time markers in the video from a string. For example, I have this: I need to extract [00:00, 01:26, 04:45, etc.] I have t...
[ -0.005126953125, 0.0067138671875, 0.00433349609375, 0.006561279296875, 0.0035400390625, -0.015380859375, -0.012451171875, 0.01165771484375, -0.01806640625, -0.0322265625, 0.00543212890625, -0.0164794921875, -0.0008544921875, 0.01116943359375, -0.015869140625, 0.003021240234375, 0.020...
[ 87, 3871, 26785, 6835, 3355, 100, 1733, 71323, 7, 23, 1202, 17198, 50828, 33022, 20324, 125195, 47, 7413, 1295, 79315, 27781, 765, 903, 125663, 7049, 6632, 3413, 28194, 5742, 15989, 6746, 304, 2389, 96386, 10342, 71, 18, 43240, 155965 ]
[ 0.02130126953125, 0.1614990234375, 0.16064453125, 0.1793212890625, 0.258056640625, 0.0767822265625, 0.203857421875, 0.263671875, 0.1217041015625, 0.0723876953125, 0.2264404296875, 0.077880859375, 0.169677734375, 0.084716796875, 0.135986328125, 0.2022705078125, 0.013671875, 0.122924...
embed
30148133_c0
30148133
python
0
Title: psycopg2 error installation in virtualenv Problem title: psycopg2 error installation in virtualenv Tags: python Problem: psycopg2 error installation in virtualenv Code signals: psycopg2
psycopg2 error installation in virtualenv psycopg2 error installation in virtualenv python psycopg2 psycopg2 error installation in virtualenv
[ 0.01434326171875, 0.01275634765625, -0.00836181640625, 0.01806640625, -0.006011962890625, 0.0079345703125, -0.0034637451171875, -0.0277099609375, -0.024658203125, 0.02294921875, 0.006805419921875, -0.0252685546875, 0.0206298828125, 0.00860595703125, -0.027587890625, 0.01446533203125, ...
[ 99009, 587, 254, 177, 304, 18499, 59720, 23, 20513, 33, 334, 17198, 50828 ]
[ 0.1500244140625, 0.1314697265625, 0.1392822265625, 0.1640625, 0.207275390625, 0.1885986328125, 0.205322265625, 0.0758056640625, 0.17578125, 0.10400390625, 0.213623046875, 0.06805419921875, 0.1322021484375 ]
embed
35250422_c0
35250422
python
0
Title: Python array is getting changed Problem title: Python array is getting changed Tags: arrays, python Problem: Python array is getting changed Code signals: Python, None, simplepts.append
Python array is getting changed Python array is getting changed arrays python Python None simplepts.append Python array is getting changed My function takes the points a polyline and removes the multiple points along any straight line segment. The points fed in are as follows: If the section is not straight, then the p...
[ 0.0106201171875, 0.012939453125, -0.01214599609375, 0.00457763671875, 0.003936767578125, -0.0009307861328125, -0.006927490234375, -0.00125885009765625, 0.0244140625, 0.0279541015625, 0.0045166015625, -0.004730224609375, -0.01031494140625, 0.00933837890625, 0.0027313232421875, -0.006530...
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[ 0.264892578125, 0.23876953125, 0.185302734375, 0.12109375, 0.1983642578125, 0.2900390625, 0.07830810546875, 0.112548828125, 0.0980224609375, 0.013763427734375, 0.189453125, 0.2115478515625, 0.01373291015625, 0.090087890625, 0.056793212890625, 0.1563720703125, 0.05218505859375, 0.18...
embed
36885654_c0
36885654
python
0
Title: Filter dictionary in list by value Problem title: Filter dictionary in list by value Tags: python Problem: Filter dictionary in list by value Code signals: Filter, my_list, name1, name2
Filter dictionary in list by value Filter dictionary in list by value python Filter my_list name1 name2 Filter dictionary in list by value How can I filter from my_list dict that contains 'color': u'blue' ?
[ 0.0086669921875, -0.0002288818359375, -0.01080322265625, 0.0038604736328125, -0.0029754638671875, -0.00176239013671875, -0.0027008056640625, 0.0224609375, 0.006317138671875, 0.033203125, -0.005126953125, 0.006134033203125, -0.00933837890625, 0.0084228515625, -0.011474609375, 0.00163269...
[ 128896, 45, 10763, 6635, 23, 5303, 390, 34292, 17198, 50828, 759, 6562, 9351, 418, 304, 831, 46312, 1295, 61669, 70541, 46133, 25, 75, 143802 ]
[ 0.252197265625, 0.0843505859375, 0.1317138671875, 0.06243896484375, 0.052001953125, 0.2138671875, 0.1351318359375, 0.2392578125, 0.09954833984375, 0.1781005859375, 0.11328125, 0.2347412109375, 0.045745849609375, 0.043792724609375, 0.0679931640625, 0.0274810791015625, 0.262939453125, ...
embed
41755025_c0
41755025
python
0
Title: Printing full array properly Problem title: Printing full array properly Tags: numpy, python-3.x, python, arrays Problem: Printing full array properly Code signals: Printing, python-3.x
Printing full array properly Printing full array properly numpy python-3.x python arrays Printing python-3.x Printing full array properly I want to print the full numpy array but somehow it does not print the way I want it to. Here is what I am getting and I need to print each row in a single line .
[ -0.000820159912109375, 0.0035858154296875, -0.00191497802734375, -0.00055694580078125, -0.0140380859375, 0.00885009765625, -0.01068115234375, 0.00156402587890625, 0.0106201171875, 0.026611328125, -0.00109100341796875, -0.0224609375, -0.00811767578125, 0.00848388671875, -0.033203125, -0...
[ 39754, 214, 4393, 10298, 53, 155965, 13269, 6493, 17198, 50828, 8316, 425, 3444, 28412, 1284, 209303, 959, 3917, 3871, 12638, 15555, 23, 11001, 13315 ]
[ 0.19921875, 0.05059814453125, 0.1917724609375, 0.188232421875, 0.1011962890625, 0.15234375, 0.08502197265625, 0.1405029296875, 0.1021728515625, 0.153564453125, 0.120849609375, 0.1214599609375, 0.054290771484375, 0.1876220703125, 0.007965087890625, 0.016510009765625, 0.047882080078125...
embed
43362400_c0
43362400
python
0
Title: Multiple ifs and elifs in oneliner python Problem title: Multiple ifs and elifs in oneliner python Tags: python Problem: Multiple ifs and elifs in oneliner python Code signals: Multiple
Multiple ifs and elifs in oneliner python Multiple ifs and elifs in oneliner python python Multiple Multiple ifs and elifs in oneliner python I have this code: Is there any way to reduce it somehow and maybe make one line?
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[ 19335, 8705, 2174, 7, 136, 88, 70253, 23, 1632, 79852, 17198, 50828, 18151, 3917, 47, 34390, 442, 209303, 3249, 13315 ]
[ 0.12158203125, 0.1126708984375, 0.2034912109375, 0.1090087890625, 0.08331298828125, 0.09814453125, 0.196533203125, 0.00592041015625, 0.1171875, 0.2181396484375, 0.07861328125, 0.1640625, 0.1229248046875, 0.0301513671875, 0.00927734375, 0.165771484375, 0.0145416259765625, 0.02905273...
embed
45818318_c4
45818318
python
4
08 915 916 918 919 921 922 923 924 928 929 932 934 935 937 938 950 958 959 961 962 967 969 971 972 973 976 978 979 980 982 983 985 988 989 990 991 992 995 998 999 Code signals: How, python-3.x
08 915 916 918 919 921 922 923 924 928 929 932 934 935 937 938 950 958 959 961 962 967 969 971 972 973 976 978 979 980 982 983 985 988 989 990 991 992 995 998 999 Code signals: How, python-3.x
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[ 3843, 483, 1837, 2485, 1819, 2947, 3117, 4015, 3742, 2357, 3882, 4235, 6460, 10289, 5843, 10945, 10991, 112965, 10057, 12975, 11540, 13549, 304, 6, 206331, 201985, 14819, 418, 201208, 11835, 19051, 199439, 105028, 16193, 363, 183642, 193021, ...
[ 0.255126953125, 0.195068359375, 0.273193359375, 0.2388916015625, 0.231689453125, 0.222900390625, 0.175048828125, 0.16259765625, 0.176513671875, 0.2059326171875, 0.2286376953125, 0.20703125, 0.194580078125, 0.209228515625, 0.205078125, 0.2037353515625, 0.2039794921875, 0.22180175781...
embed
45962970_c5
45962970
python
5
348640343360037, 2.345832939658186, 0.40109356997334367, 2.180731889132926, 2.343025535956335, 0.40048326482076757, Code signals: numpy.all, numpy.array_equal, np.all, np.array_equal, np.array
348640343360037, 2.345832939658186, 0.40109356997334367, 2.180731889132926, 2.343025535956335, 0.40048326482076757, Code signals: numpy.all, numpy.array_equal, np.all, np.array_equal, np.array
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[ 0.18359375, 0.1690673828125, 0.1162109375, 0.1787109375, 0.148193359375, 0.1966552734375, 0.15283203125, 0.1026611328125, 0.1978759765625, 0.0626220703125, 0.1202392578125, 0.06695556640625, 0.0919189453125, 0.0797119140625, 0.14599609375, 0.0950927734375, 0.1312255859375, 0.095703...
embed
51358964_c3
51358964
python
3
38246609e-05, 2.4144908778509908e-05, 2.5086756895368843e-05, 2.3095834179128078e-05, 2.2554525565554745e-05, 2.2554525565554755e-05, 2.2554525565554728e-05] Code signals: Fitting, scipy.stats
38246609e-05, 2.4144908778509908e-05, 2.5086756895368843e-05, 2.3095834179128078e-05, 2.2554525565554745e-05, 2.2554525565554755e-05, 2.2554525565554728e-05] Code signals: Fitting, scipy.stats
[ 0.0267333984375, -0.0059814453125, -0.0024566650390625, -0.0196533203125, 0.00970458984375, 0.0033111572265625, 0.00860595703125, 0.00145721435546875, 0.00811767578125, -0.011474609375, -0.002166748046875, -0.03173828125, 0.004638671875, 0.01190185546875, 0.00095367431640625, -0.001937...
[ 4520, 2357, 14604, 6463, 13, 87741, 4, 66207, 2592, 88925, 182055, 109189, 5046, 8318, 27804, 158045, 181304, 185580, 182332, 363, 787, 1197, 8821, 187716, 156918, 4836, 19051, 135455, 4633, 162689, 163670, 183262, 159353, 161689, 188608, 3882, ...
[ 0.1783447265625, 0.173583984375, 0.1561279296875, 0.2186279296875, 0.1253662109375, 0.258544921875, 0.091552734375, 0.0950927734375, 0.003631591796875, 0.0634765625, 0.06170654296875, 0.05328369140625, 0.07391357421875, 0.1168212890625, 0.09930419921875, 0.10504150390625, 0.060485839...
embed
58330057_c3
58330057
python
3
DQ0NZMA44AUXz, ZcDrwDzYAQg, CgReVklYFYXrkUEYgKOB8LZbKgNXQ0IwCTgBRcRWCcBlwMzMvtgBBA, CghHQlBVU0Q9WBUVOp8, GJCh7, C2WyoDQ0NZMA44AUWcrfY, ZQCtwDzYAQg, CgVKUFk9WBUv3ddCGJCh7, C2WyoDQ0NZMA44AUVQ7t8
DQ0NZMA44AUXz, ZcDrwDzYAQg, CgReVklYFYXrkUEYgKOB8LZbKgNXQ0IwCTgBRcRWCcBlwMzMvtgBBA, CghHQlBVU0Q9WBUVOp8, GJCh7, C2WyoDQ0NZMA44AUWcrfY, ZQCtwDzYAQg, CgVKUFk9WBUv3ddCGJCh7, C2WyoDQ0NZMA44AUVQ7t8
[ -0.01483154296875, 0.0026397705078125, -0.02001953125, -0.0081787109375, -0.00457763671875, -0.00131988525390625, 0.0093994140625, -0.002197265625, 0.01171875, 0.0272216796875, 0.006805419921875, -0.0038299560546875, 0.01202392578125, -0.0059814453125, -0.01251220703125, -0.00454711914...
[ 391, 2737, 2389, 85013, 8218, 12465, 284, 71609, 169, 4, 567, 238, 28928, 14671, 177, 313, 4332, 856, 15066, 7190, 1062, 53253, 13937, 275, 605, 166989, 568, 434, 78691, 594, 56484, 8031, 9486, 95795, 571, 51947, 39029, 1019, 527, 130542,...
[ 0.1185302734375, 0.1094970703125, 0.050048828125, 0.1009521484375, 0.1416015625, 0.2310791015625, 0.0113525390625, 0.1566162109375, 0.151611328125, 0.1309814453125, 0.10614013671875, 0.13427734375, 0.021728515625, 0.11328125, 0.1514892578125, 0.060699462890625, 0.0806884765625, 0.1...
embed
66326066_c0
66326066
python
0
Title: Numpy array manipulation; Problem title: Numpy array manipulation; Tags: numpy, arrays, python Problem: Numpy array manipulation; Code signals: Numpy, ridge_sig, res.append, Alive, Dead
Numpy array manipulation; Numpy array manipulation; numpy arrays python Numpy ridge_sig res.append Alive Dead Numpy array manipulation;
[ 0.01220703125, 0.03369140625, -0.00927734375, -0.0198974609375, -0.0026397705078125, -0.006011962890625, -0.00848388671875, 0.040283203125, 0.010498046875, 0.01141357421875, -0.01422119140625, -0.00860595703125, -0.032470703125, 0.01324462890625, -0.015380859375, -0.00396728515625, 0...
[ 52782, 6493, 10298, 53, 45258, 1363, 74, 13269, 4778, 17198, 50828, 6, 91854, 20561, 3332, 9007, 3611, 2132, 272, 51952 ]
[ 0.1685791015625, 0.2293701171875, 0.2008056640625, 0.10980224609375, 0.2183837890625, 0.08673095703125, 0.06793212890625, 0.1441650390625, 0.099853515625, 0.0872802734375, 0.154296875, 0.07421875, 0.2313232421875, 0.1724853515625, 0.1268310546875, 0.06787109375, 0.061065673828125, ...
embed
71836979_c0
71836979
python
0
Title: Sorting Nested list in python Problem title: Sorting Nested list in python Tags: list, python, sorting Problem: Sorting Nested list in python Code signals: Sorting, Nested, ratio.append
Sorting Nested list in python Sorting Nested list in python list python sorting Sorting Nested ratio.append Sorting Nested list in python I am doing a problem that my school has assigned to me. Here is code till now: The output (ratio): But the problem is that I want the list to be sorted maximum ratio wise like this:
[ -0.0213623046875, 0.01385498046875, 0.005340576171875, -0.03466796875, 0.00127410888671875, 0.015869140625, -0.01068115234375, 0.0081787109375, 0.019287109375, 0.03662109375, 0.0004024505615234375, -0.015380859375, 0.00616455078125, 0.000347137451171875, -0.01043701171875, -0.011474609...
[ 53666, 214, 28701, 71, 5303, 23, 17198, 50828, 12096, 70460, 9007, 3611, 20594, 2967, 10696, 1556, 95486, 163, 18151, 570, 5036, 140992, 17131, 31, 70, 3444, 17497, 38132, 90825, 1884, 903 ]
[ 0.1815185546875, 0.08154296875, 0.2498779296875, 0.1451416015625, 0.2235107421875, 0.08343505859375, 0.1256103515625, 0.166259765625, 0.178466796875, 0.224609375, 0.04241943359375, 0.045318603515625, 0.00054931640625, 0.091552734375, 0.095458984375, 0.00384521484375, 0.0885009765625,...
embed
73389603_c0
73389603
python
0
Title: pytorch tensor sort rows based on column Problem title: pytorch tensor sort rows based on column Tags: python, tensor, pytorch, sorting Problem: pytorch tensor sort rows based on column
pytorch tensor sort rows based on column pytorch tensor sort rows based on column python tensor pytorch sorting pytorch tensor sort rows based on column In a 2D tensor like so How do you sort the rows based off the values in a column? For instance if we were to sort based off the last column, I would expect the rows to...
[ 0.028564453125, 0.003631591796875, -0.0013580322265625, 0.0235595703125, -0.031494140625, -0.04833984375, 0.0167236328125, 0.003082275390625, -0.025146484375, 0.025390625, -0.013671875, -0.03271484375, -0.0162353515625, 0.0098876953125, -0.023681640625, -0.006195068359375, 0.00405883...
[ 17198, 1290, 206, 1492, 4970, 12096, 15555, 7, 35509, 98, 3365, 316, 50828, 116, 397, 1884, 221, 11249, 54, 5773, 142424, 4568, 41206, 6044, 190060, 5036, 82800, 12989 ]
[ 0.06903076171875, 0.113037109375, 0.131103515625, 0.135009765625, 0.1600341796875, 0.2100830078125, 0.214111328125, 0.00506591796875, 0.101806640625, 0.04833984375, 0.136474609375, 0.157470703125, 0.08428955078125, 0.09228515625, 0.07574462890625, 0.02630615234375, 0.07879638671875, ...
embed
22701935_c0
22701935
python
0
Title: Matplotlib Plot list of 16 lists Problem title: Matplotlib Plot list of 16 lists Tags: python, matplotlib, arrays Problem: Matplotlib Plot list of 16 lists Code signals: Matplotlib, Plot
Matplotlib Plot list of 16 lists Matplotlib Plot list of 16 lists python matplotlib arrays Matplotlib Plot Matplotlib Plot list of 16 lists So I have a list of 16 lists of integers. How could I make a graph using matplotlib so that one would have a space of 15x15 completely filled with a label of the integer in that po...
[ -0.000972747802734375, 0.01416015625, -0.0179443359375, 0.00592041015625, -0.0023956298828125, -0.0087890625, 0.0029296875, -0.01507568359375, 0.006683349609375, 0.048583984375, -0.006072998046875, -0.02392578125, -0.00066375732421875, 0.00830078125, -0.0023345947265625, -0.00982666015...
[ 7656, 105710, 5612, 168763, 5303, 111, 611, 17198, 50828, 2589, 10298, 87, 765, 10, 892, 26255, 11249, 5809, 3249, 41382, 17368, 221, 1632, 32628, 423, 425, 1837, 64557, 152382, 67967, 1505, 450, 19069, 113292, 77488, 13, 344, 89536, 23577,...
[ 0.09716796875, 0.1990966796875, 0.214111328125, 0.1988525390625, 0.2415771484375, 0.0391845703125, 0.1873779296875, 0.06402587890625, 0.1068115234375, 0.0943603515625, 0.1234130859375, 0.015716552734375, 0.040985107421875, 0.000152587890625, 0.145751953125, 0.1534423828125, 0.0456237...
embed
2597501_c0
2597501
python
0
Title: deletion of folders Problem title: deletion of folders Tags: directory, python Problem: deletion of folders how can i delete a folder using python script?and what are the return values??
deletion of folders deletion of folders directory python deletion of folders how can i delete a folder using python script?and what are the return values??
[ 0.004425048828125, -0.00579833984375, -0.03125, 0.0012359619140625, -0.00014781951904296875, -0.00341796875, 0.0120849609375, -0.0198974609375, -0.00775146484375, 0.024169921875, 0.01708984375, -0.0185546875, -0.007232666015625, 0.0026092529296875, 0.0167236328125, 0.000545501708984375...
[ 24674, 1363, 111, 78303, 14364, 17198, 50828, 3642, 831, 17, 154109, 17368, 26499, 30646, 142424, 4767 ]
[ 0.1568603515625, 0.06744384765625, 0.12249755859375, 0.214111328125, 0.0731201171875, 0.104248046875, 0.140625, 0.066162109375, 0.03558349609375, 0.02423095703125, 0.228759765625, 0.054931640625, 0.19091796875, 0.175048828125, 0.12310791015625, 0.0174560546875 ]
embed
33756224_c0
33756224
python
0
Title: how to use Pi3d to draw an array Problem title: how to use Pi3d to draw an array Tags: arrays, python, draw, 3d, raspberry-pi Problem: how to use Pi3d to draw an array Code signals: Pi3d
how to use Pi3d to draw an array how to use Pi3d to draw an array arrays python draw 3d raspberry-pi Pi3d how to use Pi3d to draw an array I have an array containing x,y and z values like this: i have searched on how to draw the array but i wasn't lucky to find out that so how could i draw this array using Pi3d library...
[ -0.000865936279296875, -0.0057373046875, -0.022705078125, 0.00946044921875, -0.02587890625, 0.01361083984375, 0.027587890625, -0.002197265625, 0.0189208984375, 0.007781982421875, -0.01483154296875, -0.0390625, 0.00494384765625, -0.00872802734375, -0.0224609375, -0.018798828125, -0.01...
[ 3642, 47, 4527, 3065, 363, 71, 79442, 10298, 53, 4778, 17198, 50828, 138, 61375, 53623, 1434, 142, 765, 70541, 1022, 136, 97, 142424, 1884, 903, 138009, 5809, 17368, 35773, 1294, 16750, 49726, 3126, 140505, 225291, 2147 ]
[ 0.08294677734375, 0.0328369140625, 0.10589599609375, 0.21142578125, 0.1878662109375, 0.184326171875, 0.1978759765625, 0.198486328125, 0.1607666015625, 0.008026123046875, 0.02545166015625, 0.08642578125, 0.147705078125, 0.03240966796875, 0.095703125, 0.129638671875, 0.0208282470703125...
embed
41146726_c1
41146726
python
1
185 33.60 -83.54 179 185 33.60 -83.54 179 186 33.79 -83.74 179 186 33.81 -83.84 180 185 33.67 -83.64 180 186 33.81 -83.84 180 186 33.81 -83.88 Code signals: Group, Id1, Id2, Latitude, Longitude
185 33.60 -83.54 179 185 33.60 -83.54 179 186 33.79 -83.74 179 186 33.81 -83.84 180 185 33.67 -83.64 180 186 33.81 -83.84 180 186 33.81 -83.88 Code signals: Group, Id1, Id2, Latitude, Longitude
[ 0.0191650390625, 0.004974365234375, 0.01123046875, 0.02197265625, 0.0030975341796875, 0.00775146484375, 0.0189208984375, 0.01202392578125, 0.01123046875, 0.0289306640625, -0.0198974609375, -0.044189453125, -0.005859375, -0.0218505859375, -0.0255126953125, 0.016357421875, -0.005279541...
[ 48179, 89725, 4598, 20, 17168, 5, 12338, 64726, 118582, 22377, 16360, 13556, 13903, 8719, 18197, 13307, 12772, 28864, 26073, 7, 12, 10760, 4, 24799, 418, 304, 239, 35810, 14407, 21753, 13 ]
[ 0.28515625, 0.254150390625, 0.211669921875, 0.109130859375, 0.24609375, 0.09423828125, 0.2398681640625, 0.276611328125, 0.257080078125, 0.14892578125, 0.1204833984375, 0.2020263671875, 0.1334228515625, 0.2337646484375, 0.1705322265625, 0.108154296875, 0.2091064453125, 0.26904296875...
embed
48953373_c0
48953373
python
0
Title: Cant seem to flatten numpy array Problem title: Cant seem to flatten numpy array Tags: numpy, python Problem: Cant seem to flatten numpy array Code signals: Cant, a.shape, np.concatenate
Cant seem to flatten numpy array Cant seem to flatten numpy array numpy python Cant a.shape np.concatenate Cant seem to flatten numpy array I have a numpy array which when print -ed looks like this: Ideally I would want all of these values in one big array of length (3*16 + 3*16 + 15) np.concatenate did not work, flatt...
[ 0.00787353515625, 0.0103759765625, -0.003570556640625, -0.001495361328125, -0.0006256103515625, 0.007049560546875, 0.0159912109375, -0.006317138671875, 0.0107421875, -0.01416015625, -0.01953125, -0.01031494140625, -0.01190185546875, 0.019287109375, -0.0274658203125, -0.0213623046875, ...
[ 4171, 18, 48903, 49878, 510, 13269, 6493, 10298, 53, 17198, 50828, 10, 2420, 1081, 25037, 2271, 33478, 76, 67, 765, 3229, 28412, 33342, 1884, 903, 41143, 2806, 3444, 756, 6097, 142424, 23, 1632, 6957, 140909, 6896, 1639, 2485, 997, 138, ...
[ 0.07122802734375, 0.053741455078125, 0.0966796875, 0.22265625, 0.2178955078125, 0.1297607421875, 0.1529541015625, 0.1712646484375, 0.1214599609375, 0.0928955078125, 0.1302490234375, 0.09527587890625, 0.14013671875, 0.038116455078125, 0.1558837890625, 0.0479736328125, 0.15185546875, ...
embed
51501165_c1
51501165
python
1
Then b=[1+2+3+4,1*2+1*3+1*4+2*3+2*4+3*4,1*2*3+1*2*4+1*3*4+2*3*4,1*2*3*4]=[10,35,50,24] Code signals: Calculating, a1a2, a1a3, a1an, a2a3, a2an, n-1, a1a2a3, a1a2a4, a1a2an, a1a3a4, a1a2a3...an
Then b=[1+2+3+4,1*2+1*3+1*4+2*3+2*4+3*4,1*2*3+1*2*4+1*3*4+2*3*4,1*2*3*4]=[10,35,50,24] Code signals: Calculating, a1a2, a1a3, a1an, a2a3, a2an, n-1, a1a2a3, a1a2a4, a1a2an, a1a3a4, a1a2a3...an
[ -0.012939453125, 0.01025390625, -0.016845703125, 0.0086669921875, -0.01104736328125, -0.02099609375, -0.0018310546875, -0.0002155303955078125, 0.0206298828125, 0.02880859375, -0.004150390625, -0.010986328125, 0.01904296875, 0.0022125244140625, -0.0303955078125, -0.00738525390625, 0.0...
[ 47009, 876, 1369, 1065, 418, 54651, 85398, 130262, 1639, 304, 21748, 363, 617, 268, 963, 5843, 2525, 2357, 28864, 26073, 7, 12, 212467, 26518, 10, 11, 66, 653, 5759, 4, 27 ]
[ 0.100830078125, 0.251220703125, 0.1097412109375, 0.03369140625, 0.0775146484375, 0.2041015625, 0.2025146484375, 0.238525390625, 0.06536865234375, 0.1282958984375, 0.081787109375, 0.1363525390625, 0.179931640625, 0.0693359375, 0.1107177734375, 0.208251953125, 0.194580078125, 0.18200...
embed
15386414_c0
15386414
python
0
Title: Numpy cluster from connected graph Problem title: Numpy cluster from connected graph Tags: numpy, graph, python Problem: Numpy cluster from connected graph Code signals: connected, Numpy
Numpy cluster from connected graph Numpy cluster from connected graph numpy graph python connected Numpy Numpy cluster from connected graph What is the best way to cluster connected graph ? ex1 : result : ex2 result : ex3 result : thanks
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[ 52782, 6493, 234737, 1295, 162711, 41382, 13269, 17198, 50828, 2965, 3917, 47, 1119, 16750, 304, 363, 45458 ]
[ 0.137451171875, 0.1954345703125, 0.27734375, 0.086669921875, 0.184326171875, 0.216064453125, 0.1090087890625, 0.08526611328125, 0.12939453125, 0.108154296875, 0.0831298828125, 0.07086181640625, 0.0958251953125, 0.1273193359375, 0.1202392578125, 0.12646484375, 0.08447265625 ]
embed
17851503_c0
17851503
python
0
Title: Import from ipython Problem title: Import from ipython Tags: jupyter-notebook, opencv, python, ipython, python-2.7 Problem: Import from ipython Code signals: ipython, cv, cv2, python-2.7
Import from ipython Import from ipython jupyter-notebook opencv python ipython python-2.7 ipython cv cv2 python-2.7 Import from ipython If I use IDLE with python 2.7 and it works but if I use ipython notebook it gives me error So how to use OpenCV from iPython? EDIT: from IDLE from ipython anaconda so the questions see...
[ -0.0025177001953125, -0.0186767578125, -0.035888671875, 0.024658203125, -0.003753662109375, -0.001953125, 0.01483154296875, 0.005157470703125, -0.01171875, -0.037109375, -0.0019378662109375, -0.01904296875, -0.00074005126953125, 0.0203857421875, -0.0185546875, -0.000946044921875, -0....
[ 92966, 1295, 17, 6493, 50828, 1129, 720, 48345, 14137, 9803, 238, 334, 17198, 5428, 966, 115158, 304, 4263, 4527, 11338, 15300, 678, 787, 442, 43240, 1284, 2174, 87, 74305, 76199, 163, 18499, 3642, 13527, 105553, 683, 53, 172864, 3877, 22...
[ 0.2130126953125, 0.136962890625, 0.08221435546875, 0.1768798828125, 0.218505859375, 0.04833984375, 0.1578369140625, 0.1455078125, 0.16552734375, 0.1475830078125, 0.1025390625, 0.279541015625, 0.1302490234375, 0.060394287109375, 0.166015625, 0.26171875, 0.0716552734375, 0.0019836425...
embed
56790350_c0
56790350
python
0
Title: Escape sequences display in python Problem title: Escape sequences display in python Tags: backslash, python, string Problem: Escape sequences display in python Code signals: Escape, x08
Escape sequences display in python Escape sequences display in python backslash python string Escape x08 Escape sequences display in python Both \n and \b are escape sequences but why \n displays as '\n' but \b displays as '\x08'
[ 0.03564453125, 0.038330078125, -0.00579833984375, 0.0126953125, 0.000644683837890625, 0.021484375, 0.0269775390625, 0.01507568359375, 0.00335693359375, 0.0703125, -0.00482177734375, -0.028076171875, 0.002532958984375, 0.0284423828125, -0.032470703125, 0.0069580078125, 0.0090942382812...
[ 181540, 40, 26513, 5170, 44116, 17198, 50828, 23, 4420, 5544, 79315, 1022, 8318, 149766, 41872, 19, 136, 275, 144281, 1284, 15400, 237, 425 ]
[ 0.26318359375, 0.101806640625, 0.23095703125, 0.0677490234375, 0.1881103515625, 0.1158447265625, 0.1912841796875, 0.0251007080078125, 0.1414794921875, 0.15478515625, 0.164794921875, 0.08221435546875, 0.284912109375, 0.07080078125, 0.107666015625, 0.140869140625, 0.040191650390625, ...
embed
70770250_c0
70770250
python
0
Title: python setdefault in setdefault behavior Problem title: python setdefault in setdefault behavior Tags: python Problem: python setdefault in setdefault behavior Code signals: d.setdefault
python setdefault in setdefault behavior python setdefault in setdefault behavior python d.setdefault python setdefault in setdefault behavior I tries to understand how nested setdefault works in code. I know how the basic setdefault works but I have a problem with figuring out such an code: there are no keys in d, why...
[ 0.0380859375, -0.00872802734375, 0.0301513671875, 0.005035400390625, 0.025634765625, -0.016357421875, 0.01141357421875, -0.0181884765625, 0.022705078125, 0.020263671875, 0.005889892578125, 0.03564453125, 0.00714111328125, 0.0269775390625, -0.00640869140625, 0.00191497802734375, -0.02...
[ 17198, 50828, 5423, 214810, 123166, 23, 104, 3509, 28219, 8512, 71, 43240, 18151, 62822, 2967, 26747, 110, 22799, 15400, 15044, 142424, 49814, 66000, 959, 8, 7844, 18, 34292, 88471, 30646, 183540, 176377, 5117, 114689, 7228, 3038, 3525, 21771...
[ 0.101318359375, 0.1414794921875, 0.2132568359375, 0.291015625, 0.18505859375, 0.050506591796875, 0.1763916015625, 0.206787109375, 0.036163330078125, 0.2296142578125, 0.1370849609375, 0.1090087890625, 0.1102294921875, 0.0736083984375, 0.0335693359375, 0.049591064453125, 0.126220703125...
embed
34277148_c0
34277148
python
0
Title: Matplotlib error in importing Problem title: Matplotlib error in importing Tags: python-2.7, python, matplotlib Problem: Matplotlib error in importing Code signals: Matplotlib, python-2.7
Matplotlib error in importing Matplotlib error in importing python-2.7 python matplotlib Matplotlib python-2.7 Matplotlib error in importing I am using OSX El Capitan and trying to import matplotlib.pyplot when I do that I get recursive error and at the end it says "ValueError: insecure string pickle" Here is the whole...
[ 0.0142822265625, 0.0068359375, -0.0277099609375, 0.017822265625, -0.00653076171875, 0.0091552734375, 0.005462646484375, -0.0093994140625, -0.013427734375, 0.02001953125, -0.01007080078125, -0.04248046875, 0.0031280517578125, -0.000576019287109375, -0.008056640625, -0.00323486328125, ...
[ 7656, 105710, 5612, 18499, 24927, 214, 23, 17198, 50828, 5428, 966, 2589, 17368, 11787, 1542, 540, 109575, 66, 31577, 6493, 195625, 5844, 3564, 17378, 856, 50770, 18468, 31611, 184, 57436, 79315, 39580, 133, 28271, 12684, 4358 ]
[ 0.1619873046875, 0.24462890625, 0.223388671875, 0.1864013671875, 0.2359619140625, 0.073974609375, 0.0777587890625, 0.0811767578125, 0.157958984375, 0.077392578125, 0.09942626953125, 0.1405029296875, 0.01324462890625, 0.07965087890625, 0.065673828125, 0.085693359375, 0.136962890625, ...
embed
40964506_c0
40964506
python
0
Title: lining up several pandas dataframes Problem title: lining up several pandas dataframes Tags: python, pandas, dataframe Problem: lining up several pandas dataframes Code signals: Age, Year
lining up several pandas dataframes lining up several pandas dataframes python pandas dataframe Age Year lining up several pandas dataframes I have three data frames (A, B, C) of the following type I would like to get them into one dataframe with the following design (multi-index0 Any suggestions? Cheers, Mike
[ 0.019287109375, 0.0205078125, -0.0220947265625, 0.013916015625, 0.0052490234375, 0.006072998046875, 0.00927734375, 0.0263671875, -0.005157470703125, 0.0380859375, -0.0126953125, -0.03173828125, 0.031005859375, -0.010986328125, -0.001434326171875, -0.00750732421875, 0.01904296875, -...
[ 400, 592, 1257, 40368, 2652, 1124, 2053, 160328, 17198, 50828, 72944, 42552, 7, 87, 765, 17262, 2674, 284, 335, 313, 16, 25632, 10644, 2806, 1884, 2046, 2856, 3934, 1632, 4331, 144227, 4711, 2389, 157666, 5024, 1314, 41576 ]
[ 0.1070556640625, 0.091796875, 0.1259765625, 0.1407470703125, 0.1422119140625, 0.1663818359375, 0.1666259765625, 0.256591796875, 0.06689453125, 0.1104736328125, 0.1968994140625, 0.1676025390625, 0.0089111328125, 0.011505126953125, 0.0281524658203125, 0.146240234375, 0.1798095703125, ...
embed
73978739_c0
73978739
python
0
Title: adding a python string with a numpy array Problem title: adding a python string with a numpy array Tags: numpy, python Problem: adding a python string with a numpy array Code signals: Out
adding a python string with a numpy array adding a python string with a numpy array numpy python Out adding a python string with a numpy array I have a string of numbers like this: I have a numpy array of numbers like this: I'd like to add the line of numbers in the string to the numbers in the array, and keep the resu...
[ 0.01385498046875, 0.00921630859375, -0.0091552734375, -0.0004253387451171875, 0.0025177001953125, 0.007598876953125, 0.001953125, 0.00146484375, -0.006805419921875, -0.0196533203125, 0.0093994140625, -0.03662109375, -0.00653076171875, 0.00086212158203125, -0.0194091796875, -0.013183593...
[ 154107, 17198, 50828, 79315, 678, 13269, 6493, 10298, 53, 13538, 765, 111, 101935, 1884, 903, 15190, 13315, 23, 47, 13695, 16750, 8781, 1018, 71216, 3917, 17368, 707 ]
[ 0.144287109375, 0.1173095703125, 0.1656494140625, 0.251953125, 0.1220703125, 0.1357421875, 0.2169189453125, 0.1788330078125, 0.1123046875, 0.1683349609375, 0.010009765625, 0.09375, 0.1282958984375, 0.0870361328125, 0.02166748046875, 0.1400146484375, 0.1119384765625, 0.0358276367187...
embed
26849827_c0
26849827
python
0
Title: Writing numbers into file python Problem title: Writing numbers into file python Tags: excel, file, python Problem: Writing numbers into file python Code signals: Writing, a.txt, fob.write
Writing numbers into file python Writing numbers into file python excel file python Writing a.txt fob.write Writing numbers into file python I was trying to extract all the elements of the my data points (x,y) tuples, and put them into list of x values and y list, and transfer them to two columns in excel spreadsheet. ...
[ 0.00738525390625, -0.0185546875, -0.007415771484375, 0.00909423828125, 0.0004100799560546875, 0.0120849609375, -0.00347900390625, 0.002716064453125, 0.0177001953125, 0.045654296875, -0.025146484375, -0.00408935546875, 0.0126953125, 0.039306640625, 0.0224609375, -0.0230712890625, 0.00...
[ 213185, 101935, 3934, 11435, 17198, 50828, 64152, 10, 5, 124326, 5775, 275, 434, 18781, 31577, 125663, 756, 80854, 759, 2053, 26847, 425, 53, 370, 99726, 3884, 5303, 1022, 142424, 136, 113, 12302, 6626, 3365, 316, 93403, 7816, 32562, 32233,...
[ 0.21142578125, 0.2296142578125, 0.2032470703125, 0.208740234375, 0.1375732421875, 0.1866455078125, 0.1474609375, 0.1094970703125, 0.0248870849609375, 0.2261962890625, 0.129638671875, 0.1160888671875, 0.05950927734375, 0.09930419921875, 0.059661865234375, 0.1207275390625, 0.0171966552...
embed
28157108_c0
28157108
python
0
Title: Edit a value in a list of dictionary Problem title: Edit a value in a list of dictionary Tags: python Problem: Edit a value in a list of dictionary Code signals: Edit, my_dicts, key1, key2
Edit a value in a list of dictionary Edit a value in a list of dictionary python Edit my_dicts key1 key2 Edit a value in a list of dictionary What would be the most efficient way to replace { 'key1' : '2', 'key2' : '10' } in { 'key1' : '2', 'key2' : '30' }
[ 0.005401611328125, -0.0111083984375, -0.02099609375, 0.000701904296875, 0.00087738037109375, 0.01483154296875, 0.00347900390625, 0.024658203125, 0.003936767578125, 0.020751953125, 0.01177978515625, 0.005615234375, 0.01220703125, -0.003631591796875, 0.013916015625, 0.00872802734375, 0...
[ 42079, 34292, 23, 5303, 111, 45, 10763, 6635, 10, 17198, 50828, 759, 61669, 7, 22799, 418, 304, 2806, 2684, 93766, 3917, 47, 91995, 19770, 963, 242, 4, 1197 ]
[ 0.2049560546875, 0.199462890625, 0.06146240234375, 0.1583251953125, 0.064697265625, 0.0986328125, 0.1702880859375, 0.07965087890625, 0.00677490234375, 0.051361083984375, 0.1109619140625, 0.1083984375, 0.177001953125, 0.04522705078125, 0.16064453125, 0.09979248046875, 0.1552734375, ...
embed
33004804_c0
33004804
python
0
Title: Extracting a value from split in python Problem title: Extracting a value from split in python Tags: python Problem: Extracting a value from split in python Code signals: split, Extracting
Extracting a value from split in python Extracting a value from split in python python split Extracting Extracting a value from split in python This is the split data I have, and I am trying to add the grades and output (id, name, grade). How can I do this? i am supposed to output
[ 0.0120849609375, -0.0037384033203125, 0.00037384033203125, 0.0089111328125, -0.01458740234375, 0.0019989013671875, 0.00811767578125, 0.00347900390625, 0.007110595703125, 0.024658203125, -0.006591796875, -0.003692626953125, -0.0186767578125, 0.02001953125, -0.01312255859375, 0.003997802...
[ 31501, 238, 1916, 34292, 1295, 65450, 23, 17198, 50828, 10, 2053, 765, 31577, 47, 15190, 70, 44000, 136, 140992, 532, 9351, 11249, 831, 54, 903, 134598 ]
[ 0.2310791015625, 0.1241455078125, 0.0987548828125, 0.21875, 0.1715087890625, 0.271728515625, 0.08154296875, 0.1463623046875, 0.2015380859375, 0.05010986328125, 0.14453125, 0.03692626953125, 0.0810546875, 0.0341796875, 0.144287109375, 0.0266265869140625, 0.2144775390625, 0.046936035...
embed
41616801_c0
41616801
python
0
Title: record the values in ascending in dataframe Problem title: record the values in ascending in dataframe Tags: python, dataframe, sorting Problem: record the values in ascending in dataframe
record the values in ascending in dataframe record the values in ascending in dataframe python dataframe sorting record the values in ascending in dataframe is a table of the following form how to record the values ​​in ascending? need to get a table of the following form
[ 0.02734375, -0.014404296875, -0.00592041015625, 0.006500244140625, 0.002593994140625, -0.023193359375, 0.01544189453125, 0.00982666015625, -0.00885009765625, 0.042236328125, 0.0086669921875, -0.0174560546875, -0.00860595703125, -0.0012664794921875, -0.00469970703125, -0.003463745117187...
[ 17164, 70, 142424, 23, 82800, 214, 2053, 160328, 17198, 50828, 12096, 83, 23180, 111, 25632, 3173, 3642, 47, 3871, 2046 ]
[ 0.2255859375, 0.04827880859375, 0.2164306640625, 0.142333984375, 0.200927734375, 0.146728515625, 0.141357421875, 0.275390625, 0.0640869140625, 0.145263671875, 0.172607421875, 0.0192413330078125, 0.1998291015625, 0.0357666015625, 0.064697265625, 0.1434326171875, 0.038848876953125, 0...
embed
52647097_c3
52647097
python
3
888936 0.42648485 0.4299298 0.43789476 0.42854127 0.42436373 0.4276249 0.43576592 0.4263624 Code signals: Cannot, Python, n0.42453277, n0.42681128, n0.42648485, n0.42436373, s.replace, python-3.x
888936 0.42648485 0.4299298 0.43789476 0.42854127 0.42436373 0.4276249 0.43576592 0.4263624 Code signals: Cannot, Python, n0.42453277, n0.42681128, n0.42648485, n0.42436373, s.replace, python-3.x
[ -0.00946044921875, 0.0146484375, 0.00482177734375, 0.01080322265625, 0.0135498046875, -0.007598876953125, 0.0096435546875, 0.011962890625, 0.00860595703125, 0.0235595703125, -0.0091552734375, -0.01348876953125, -0.0072021484375, -0.01104736328125, 0.00186920166015625, -0.0198974609375,...
[ 382, 181475, 8659, 757, 179122, 9285, 114999, 13023, 5046, 122381, 11548, 153781, 162518, 133249, 6, 121254, 2357, 127968, 13574, 123141, 28864, 26073, 7, 12, 4171, 10869, 145581, 653, 4633, 6460, 14546, 4046, 13556, 81764, 4, 91, 5, 107, 2...
[ 0.1116943359375, 0.244140625, 0.2303466796875, 0.0489501953125, 0.19970703125, 0.120849609375, 0.1612548828125, 0.1212158203125, 0.09344482421875, 0.1124267578125, 0.048492431640625, 0.002685546875, 0.09033203125, 0.029876708984375, 0.0184326171875, 0.13232421875, 0.07916259765625, ...
embed
53000056_c0
53000056
python
0
Title: Python: how to turn csv data in to array Problem title: Python: how to turn csv data in to array Tags: python, arrays Problem: Python: how to turn csv data in to array Code signals: Python
Python: how to turn csv data in to array Python: how to turn csv data in to array python arrays Python Python: how to turn csv data in to array I'm trying to turn a csv file into arrays. testdata here what I have in csv file is like this 11,10,8,12,13,11 0,1,0,2,3,0 5,15,13,11,18,18 I want to turn it into arrays as bel...
[ 0.012451171875, 0.006011962890625, 0.0037078857421875, 0.0224609375, 0.00176239013671875, 0.0164794921875, -0.004119873046875, 0.0009918212890625, -0.01373291015625, 0.014404296875, -0.02490234375, -0.041748046875, -0.01165771484375, 0.0220947265625, -0.01068115234375, -0.0097045898437...
[ 145581, 12, 3642, 47, 15504, 20763, 334, 2053, 23, 10298, 53, 17198, 50828, 4778, 87, 31577, 11435, 3934, 3034, 10135, 3688, 2367, 765, 83, 1884, 903, 534, 963, 206029, 304, 4, 2681, 1662, 72966, 2389, 128188, 190, 1837, 1819, 3444, 237...
[ 0.26123046875, 0.0290374755859375, 0.096435546875, 0.08868408203125, 0.1561279296875, 0.175537109375, 0.27783203125, 0.192138671875, 0.114990234375, 0.22998046875, 0.2049560546875, 0.1080322265625, 0.128173828125, 0.2066650390625, 0.03082275390625, 0.07965087890625, 0.1551513671875, ...
embed
61885963_c0
61885963
python
0
Title: How to iterate JSON list in Python Problem title: How to iterate JSON list in Python Tags: python Problem: How to iterate JSON list in Python Code signals: How, JSON, Python, co.id, biz.id
How to iterate JSON list in Python How to iterate JSON list in Python python How JSON Python co.id biz.id How to iterate JSON list in Python I have Json like this : I want to result like this : please help python code for iterate this
[ 0.00171661376953125, -0.00482177734375, -0.010009765625, 0.024658203125, -0.01556396484375, 0.0235595703125, -0.0004024505615234375, 0.015869140625, 0.0096435546875, 0.0035858154296875, -0.007568359375, -0.006866455078125, 0.004974365234375, -0.009033203125, -0.01263427734375, 0.012023...
[ 11249, 47, 17, 8560, 67, 821, 58627, 5303, 23, 145581, 17198, 50828, 552, 5, 532, 7124, 765, 1681, 1884, 903, 3444, 16750, 22936, 4358, 18151, 100 ]
[ 0.0789794921875, 0.07421875, 0.1220703125, 0.274658203125, 0.1182861328125, 0.1861572265625, 0.254638671875, 0.2247314453125, 0.0689697265625, 0.260986328125, 0.128662109375, 0.1336669921875, 0.125, 0.0380859375, 0.1685791015625, 0.200927734375, 0.0195465087890625, 0.21826171875, ...
embed
57275662_c5
57275662
python
5
ktbqRj4y0K8, BrZ4jXLeg1JkY9CDAeVjOtFgYEmr3pMbyakE, YA9OyIi3V4a8HXIQBLZDzNctG, Mp3ntyxLtbbtKmc498hF0NRMYB8vjTecF, I7LjpmDXhR, U5hYi, wH1FxlB4CCgKwAAAABJRU5ErkJggg, readb64, np.fromstring, np.uint8
ktbqRj4y0K8, BrZ4jXLeg1JkY9CDAeVjOtFgYEmr3pMbyakE, YA9OyIi3V4a8HXIQBLZDzNctG, Mp3ntyxLtbbtKmc498hF0NRMYB8vjTecF, I7LjpmDXhR, U5hYi, wH1FxlB4CCgKwAAAABJRU5ErkJggg, readb64, np.fromstring, np.uint8
[ 0.00567626953125, -0.00341796875, -0.023193359375, 0.0169677734375, 0.006866455078125, 0.017822265625, 0.017333984375, -0.01470947265625, 0.01031494140625, 0.01251220703125, 0.000560760498046875, 0.0166015625, 0.01220703125, -0.01531982421875, -0.020751953125, -0.016357421875, -0.025...
[ 56619, 275, 864, 1052, 170, 617, 53, 605, 1019, 4, 13008, 1511, 71956, 2507, 1375, 32694, 647, 3320, 1126, 14, 11, 841, 724, 9621, 363, 61612, 866, 18, 39, 238, 165611, 127, 839, 919, 177, 92, 9815, 12301, 13307, 25037, 5, 161063, 9...
[ 0.1531982421875, 0.09820556640625, 0.039031982421875, 0.07464599609375, 0.1190185546875, 0.074462890625, 0.051483154296875, 0.10626220703125, 0.19873046875, 0.120361328125, 0.08758544921875, 0.05316162109375, 0.026092529296875, 0.087158203125, 0.007110595703125, 0.021331787109375, 0....
embed
58773220_c0
58773220
python
0
Title: from MySQL to CSV format Problem title: from MySQL to CSV format Tags: tuples, list, mysql, python, ta-lib Problem: from MySQL to CSV format Code signals: MySQL, CSV, pd.read_csv, file.csv
from MySQL to CSV format from MySQL to CSV format tuples list mysql python ta-lib MySQL CSV pd.read_csv file.csv from MySQL to CSV format I want to use data from a mySQL select query for working with ta-lib. If I import data from a CSV file with then I get the desired result but when I execute the MySQL query I get tup...
[ 0.0206298828125, 0.002044677734375, 0.0142822265625, 0.0045166015625, 0.007568359375, 0.02880859375, 0.006011962890625, -0.005462646484375, 0.002716064453125, -0.0078125, 0.0157470703125, 0.0009613037109375, 0.00701904296875, 0.005126953125, -0.0189208984375, -0.0037384033203125, -0....
[ 1295, 157146, 47, 313, 43486, 9384, 370, 99726, 5303, 759, 99247, 17198, 50828, 308, 5612, 71, 39116, 4439, 334, 11435, 3444, 4527, 2053, 158897, 36849, 41, 1294, 20697, 24927, 678, 104851, 16750, 1284, 71924, 28032, 2811, 40383, 140992, 57...
[ 0.11083984375, 0.2322998046875, 0.108154296875, 0.075927734375, 0.274658203125, 0.1650390625, 0.11767578125, 0.2144775390625, 0.119873046875, 0.06298828125, 0.107177734375, 0.01318359375, 0.08612060546875, 0.1268310546875, 0.17578125, 0.05145263671875, 0.125244140625, 0.11169433593...
embed
56387185_c0
56387185
python
0
Title: Efficient use of numpy select Problem title: Efficient use of numpy select Tags: select, pandas, python Problem: Efficient use of numpy select Code signals: Efficient, Time, Location, Date
Efficient use of numpy select Efficient use of numpy select select pandas python Efficient Time Location Date Efficient use of numpy select I have some data as follows. I'm trying to compute the values in the Time bw column (it should be 0 in the 4th row). Whenever the Location moves to a new one, like a to b , I want ...
[ 0.003997802734375, -0.00115966796875, 0.01361083984375, 0.00982666015625, -0.006103515625, -0.018798828125, 0.0027008056640625, 0.023681640625, -0.0169677734375, 0.0027923583984375, 0.00848388671875, -0.0047607421875, -0.005126953125, -0.0101318359375, -0.02294921875, 0.017578125, -0...
[ 241, 24500, 45964, 4527, 13269, 6493, 36849, 111, 2652, 1124, 17198, 50828, 19055, 90788, 25512, 87, 765, 2053, 28960, 31577, 9969, 6743, 142424, 90998, 3365, 316, 5608, 186, 757, 201, 927, 6, 15555, 14847, 30441, 25813, 7, 47, 3525, 1632...
[ 0.0185089111328125, 0.1580810546875, 0.1397705078125, 0.119384765625, 0.1534423828125, 0.2325439453125, 0.27392578125, 0.04833984375, 0.0841064453125, 0.1107177734375, 0.06591796875, 0.1380615234375, 0.154296875, 0.2061767578125, 0.123779296875, 0.011322021484375, 0.01959228515625, ...
embed
67791279_c0
67791279
python
0
Title: Transform pandas column of nested lists Problem title: Transform pandas column of nested lists Tags: pandas, python Problem: Transform pandas column of nested lists Code signals: Transform
Transform pandas column of nested lists Transform pandas column of nested lists pandas python Transform Transform pandas column of nested lists how do I get a pandas column of nested lists in the form: to be split by a comma in between the numbers to produce:
[ 0.005401611328125, 0.0023345947265625, -0.01904296875, 0.0250244140625, 0.00677490234375, -0.0059814453125, 0.0125732421875, -0.0107421875, -0.00640869140625, 0.0281982421875, 0.00537109375, -0.0026092529296875, 0.003570556640625, 0.0177001953125, -0.02099609375, 0.00262451171875, 0....
[ 11062, 5037, 2652, 1124, 3365, 316, 19, 111, 8512, 71, 5303, 17198, 50828, 3642, 54, 87, 2046, 23, 3173, 47, 65450, 390, 10, 96117, 17721, 70, 101935, 27489 ]
[ 0.084716796875, 0.19091796875, 0.1678466796875, 0.177734375, 0.1300048828125, 0.1837158203125, 0.0931396484375, 0.0771484375, 0.2332763671875, 0.13623046875, 0.185546875, 0.0802001953125, 0.1190185546875, 0.03118896484375, 0.0062255859375, 0.0273590087890625, 0.0986328125, 0.013641...
embed
6810191_c0
6810191
python
0
Title: Python error checking Problem title: Python error checking Tags: python, error-checking Problem: Python error checking Code signals: Python, idata.split, line.split, scol.append, Exception
Python error checking Python error checking python error-checking Python idata.split line.split scol.append Exception Python error checking I have code snippet below I would like to add error checking Like How would I do this?
[ 0.0025177001953125, 0.0244140625, -0.0091552734375, 0.0093994140625, 0.023681640625, 0.003387451171875, 0.022705078125, 0.004302978515625, -0.003448486328125, 0.01025390625, 0.00665283203125, -0.0201416015625, 0.004058837890625, -0.00897216796875, 0.00335693359375, -0.0084228515625, ...
[ 145581, 18499, 175199, 17198, 50828, 78292, 214, 17, 10135, 7008, 4353, 13315, 91, 8447, 9007, 3611, 5443, 63928, 18151, 93, 58134, 35064, 2806, 1884, 15190, 18852, 11249, 54, 903 ]
[ 0.2349853515625, 0.187255859375, 0.2215576171875, 0.11474609375, 0.13916015625, 0.1898193359375, 0.025146484375, 0.0614013671875, 0.11865234375, 0.0231781005859375, 0.1583251953125, 0.1083984375, 0.003936767578125, 0.1597900390625, 0.0280609130859375, 0.058502197265625, 0.04611206054...
embed
71637473_c0
71637473
python
0
Title: How to reshape an array using np tile Problem title: How to reshape an array using np tile Tags: python, numpy Problem: How to reshape an array using np tile Code signals: np, How, np.tile
How to reshape an array using np tile How to reshape an array using np tile python numpy np How np.tile How to reshape an array using np tile I have a array X structured with shape 2, 5 as follows: I'd like to reshape it to repeat each row n times as follows (example uses n = 3): I have tried to use np.tile as follows,...
[ 0.02099609375, 0.013427734375, -0.0145263671875, 0.0244140625, 0.00946044921875, 0.00482177734375, -0.0125732421875, 0.00323486328125, 0.0206298828125, -0.0036468505859375, 0.03271484375, -0.013916015625, -0.0002880096435546875, 0.03515625, -0.019287109375, 0.00848388671875, -0.00073...
[ 11249, 456, 2420, 1081, 10298, 53, 17368, 25037, 139, 13, 47, 17198, 50828, 13269, 6493, 44555, 765, 1193, 45646, 115700, 116, 190, 28960, 1884, 119140, 12638, 15555, 653, 20028, 11, 4527, 2203, 8439, 37842, 35064, 93766, 28282, 104851, 140...
[ 0.03814697265625, 0.138671875, 0.2027587890625, 0.14013671875, 0.19580078125, 0.1644287109375, 0.06964111328125, 0.2054443359375, 0.2117919921875, 0.0982666015625, 0.000823974609375, 0.033447265625, 0.09942626953125, 0.0670166015625, 0.1116943359375, 0.2119140625, 0.002899169921875, ...
embed
32507399_c0
32507399
python
0
Title: Python get max and min from list of dicts Problem title: Python get max and min from list of dicts Tags: python Problem: Python get max and min from list of dicts Code signals: list, Python
Python get max and min from list of dicts Python get max and min from list of dicts python list Python Python get max and min from list of dicts how can I get the max and min value from code like this: And i need results like this:
[ 0.01171875, 0.00958251953125, 0.005615234375, 0.00151824951171875, -0.01361083984375, -0.010498046875, 0.0196533203125, 0.010009765625, -0.01397705078125, 0.01177978515625, 0.00019168853759765625, -0.0166015625, 0.003753662109375, -0.0020904541015625, 0.01544189453125, -0.0138549804687...
[ 145581, 2046, 18389, 136, 881, 1295, 5303, 111, 61669, 7, 17198, 50828, 34292, 18151, 3871, 50339 ]
[ 0.2117919921875, 0.06585693359375, 0.1861572265625, 0.1168212890625, 0.2374267578125, 0.0565185546875, 0.123046875, 0.03662109375, 0.1768798828125, 0.0143585205078125, 0.05255126953125, 0.092529296875, 0.125732421875, 0.130126953125, 0.0207977294921875, 0.054718017578125 ]
embed
42716731_c0
42716731
python
0
Title: Linking target and source values Problem title: Linking target and source values Tags: python Problem: Linking target and source values Code signals: Linking, SPOT_SOURCE_ID, SPOT_TARGET_ID
Linking target and source values Linking target and source values python Linking SPOT_SOURCE_ID SPOT_TARGET_ID Linking target and source values I am trying to iterate through a list (see below) in Excel, which contains source and target ID values. When graphically representing the list below one gets a tree-like struct...
[ 0.012451171875, 0.0000286102294921875, -0.01190185546875, -0.0189208984375, 0.005584716796875, 0.01080322265625, -0.00616455078125, 0.01080322265625, 0.0213623046875, 0.002349853515625, -0.00543212890625, -0.01239013671875, -0.01226806640625, 0.0118408203125, 0.007171630859375, 0.00373...
[ 12779, 214, 30388, 136, 31344, 142424, 17198, 50828, 140195, 618, 294, 76234, 10854, 7146, 37142, 79794, 31577, 8560, 8305, 5303, 35064, 30326, 11338, 48461, 33636, 53201, 5062, 45646, 12638, 13162, 162711, 15700, 91853, 90141, 7103, 1632, 6626...
[ 0.1929931640625, 0.0853271484375, 0.28759765625, 0.142333984375, 0.245849609375, 0.2144775390625, 0.1141357421875, 0.1634521484375, 0.1597900390625, 0.09283447265625, 0.060028076171875, 0.1832275390625, 0.1435546875, 0.160888671875, 0.154296875, 0.159912109375, 0.03887939453125, 0....
embed
61500261_c0
61500261
python
0
Title: Get Cummulative Unique Contacts Problem title: Get Cummulative Unique Contacts Tags: pandas, python Problem: Get Cummulative Unique Contacts Code signals: Get, Cummulative, Unique, Contacts
Get Cummulative Unique Contacts Get Cummulative Unique Contacts pandas python Get Cummulative Unique Contacts Get Cummulative Unique Contacts I am wondering how to go about returning number of unique contact added on a daily basis Assuming I have a list of leads that keeps growing on a daily basis and there is a possib...
[ 0.0196533203125, 0.021728515625, 0.0186767578125, 0.0164794921875, 0.0034942626953125, -0.010986328125, 0.00811767578125, -0.004913330078125, -0.005889892578125, -0.035400390625, -0.015625, 0.000354766845703125, 0.0166015625, 0.006439208984375, 0.0103759765625, 0.0155029296875, -0.01...
[ 20779, 7140, 19908, 4935, 11789, 944, 27627, 7, 2652, 1124, 17198, 50828, 149016, 3642, 1672, 30646, 214, 14012, 36998, 5470, 49814, 31815, 18231, 66596, 10, 5303, 37105, 13695, 105925, 207116, 115, 182867, 28560, 75678, 4734, 142424, 645, 17...
[ 0.138916015625, 0.1158447265625, 0.189697265625, 0.114013671875, 0.1978759765625, 0.1546630859375, 0.27490234375, 0.0487060546875, 0.08026123046875, 0.102783203125, 0.100341796875, 0.1688232421875, 0.0648193359375, 0.02691650390625, 0.04473876953125, 0.15380859375, 0.0770263671875, ...
embed
57104845_c0
57104845
python
0
Title: Regular expression matching numbers Problem title: Regular expression matching numbers Tags: regex, python Problem: Regular expression matching numbers Code signals: re, Regular, re.findall
Regular expression matching numbers Regular expression matching numbers regex python re Regular re.findall Regular expression matching numbers I hope to get ['12,344,567'],but the actual output is [',567'].Where is it wrong? Thanks in advance.
[ -0.0213623046875, -0.001617431640625, -0.00640869140625, -0.00089263916015625, 0.00848388671875, 0.0169677734375, 0.0015869140625, 0.038330078125, 0.0286865234375, 0.0011444091796875, -0.01556396484375, -0.01141357421875, -0.008544921875, -0.004150390625, 0.01483154296875, 0.0050964355...
[ 47881, 42, 125195, 14858, 214, 101935, 6835, 3355, 17198, 50828, 456, 111607, 5584, 87, 15673, 2046, 1530, 4, 132993, 162082, 8789, 8561, 140992, 83, 35593, 44691, 22362, 129745 ]
[ 0.2249755859375, 0.10089111328125, 0.23193359375, 0.2254638671875, 0.1170654296875, 0.195556640625, 0.1571044921875, 0.155029296875, 0.083251953125, 0.138916015625, 0.150634765625, 0.1339111328125, 0.181640625, 0.00433349609375, 0.16650390625, 0.08807373046875, 0.122314453125, 0.04...
embed
58452887_c3
58452887
python
3
sha1$EbPv6DP0wMyu02UpA6ZYazFvvYvZTVI1$b8252583fea027d42af20c0d0f3eac3fbf468bd1, b8252583fea027d42af20c0d0f3eac3fbf468bd1, hashlib.sha1, pw_hash, e40e1e9addc186828a5554a71527342c123456, python-3.x
sha1$EbPv6DP0wMyu02UpA6ZYazFvvYvZTVI1$b8252583fea027d42af20c0d0f3eac3fbf468bd1, b8252583fea027d42af20c0d0f3eac3fbf468bd1, hashlib.sha1, pw_hash, e40e1e9addc186828a5554a71527342c123456, python-3.x
[ 0.00860595703125, -0.002685546875, -0.011474609375, -0.0029144287109375, -0.02978515625, 0.0025634765625, -0.01324462890625, 0.00021648406982421875, 0.00909423828125, -0.00836181640625, -0.001190185546875, 0.0322265625, 0.0234375, 0.00927734375, -0.015625, -0.005615234375, -0.0114746...
[ 9638, 418, 4369, 647, 275, 334, 910, 28399, 31852, 34, 9550, 53234, 86823, 53962, 5343, 568, 1019, 2588, 17168, 2242, 966, 71, 13023, 2407, 1549, 420, 157041, 34145, 4, 876, 11, 2263, 1556, 127, 5612, 5, 2420, 123325, 454, 126234, 2839,...
[ 0.2978515625, 0.1650390625, 0.17626953125, 0.0235443115234375, 0.007904052734375, 0.06805419921875, 0.0289306640625, 0.0755615234375, 0.075927734375, 0.0213775634765625, 0.033233642578125, 0.030487060546875, 0.0232086181640625, 0.002166748046875, 0.049896240234375, 0.053955078125, 0....
embed
63754877_c0
63754877
python
0
Title: remove duplicate records in python Problem title: remove duplicate records in python Tags: duplicates, python Problem: remove duplicate records in python Code signals: Smith, Age, Jane, Sam
remove duplicate records in python remove duplicate records in python duplicates python Smith Age Jane Sam remove duplicate records in python How can I remove duplicate records in the following form by using Python 3? For the variable, "string": Required output after removing duplicates: I'd be grateful if you guys can...
[ 0.0169677734375, 0.01495361328125, 0.0025177001953125, 0.0145263671875, 0.00140380859375, -0.01409912109375, -0.0177001953125, 0.0203857421875, -0.00106048583984375, -0.01287841796875, -0.005859375, -0.0054931640625, 0.002105712890625, 0.00360107421875, -0.00616455078125, 0.01062011718...
[ 87388, 171763, 67, 115923, 23, 17198, 50828, 1636, 37700, 72944, 48511, 3362, 831, 25632, 3173, 17368, 145581, 138, 77336, 91693, 3181, 2822, 140992, 7103, 49146, 6496, 225876, 4358 ]
[ 0.179931640625, 0.25341796875, 0.1685791015625, 0.23974609375, 0.060638427734375, 0.1243896484375, 0.1641845703125, 0.0997314453125, 0.1575927734375, 0.1519775390625, 0.156982421875, 0.1583251953125, 0.0287017822265625, 0.05157470703125, 0.1221923828125, 0.045562744140625, 0.21960449...
embed
7121635_c0
7121635
python
0
Title: how to get data from hexdump in scapy? Problem title: how to get data from hexdump in scapy? Tags: scapy, python Problem: how to get data from hexdump in scapy? Code signals: hexdump, UPort
how to get data from hexdump in scapy? how to get data from hexdump in scapy? scapy python hexdump UPort how to get data from hexdump in scapy? This is my hexdump of a received packet, of which I just need - That is basically my payload, how can I get it?
[ 0.005615234375, 0.0294189453125, -0.0137939453125, 0.0302734375, -0.0003948211669921875, 0.022216796875, 0.00970458984375, -0.0036773681640625, -0.0027313232421875, -0.0164794921875, 0.0211181640625, -0.041259765625, 0.0079345703125, 0.004791259765625, -0.007110595703125, -0.0099487304...
[ 3642, 2046, 2053, 1295, 764, 425, 693, 2676, 91, 15644, 53, 47, 50828, 345, 60006, 23, 75204, 43824, 3871, 759, 8783, 63033, 831, 442 ]
[ 0.025421142578125, 0.10296630859375, 0.1376953125, 0.0924072265625, 0.15185546875, 0.130126953125, 0.177490234375, 0.154541015625, 0.051513671875, 0.1749267578125, 0.2125244140625, 0.0197296142578125, 0.0297698974609375, 0.038787841796875, 0.14306640625, 0.021331787109375, 0.05322265...
embed
71657420_c0
71657420
python
0
Title: Python - how to rewrite zip with for cycle? Problem title: Python - how to rewrite zip with for cycle? Tags: python Problem: Python - how to rewrite zip with for cycle? Code signals: Python
Python - how to rewrite zip with for cycle? Python - how to rewrite zip with for cycle? python Python Python - how to rewrite zip with for cycle? I have a code which compares two lists I need to rewrite it in the following format but current wording returns error. How to correct it?
[ 0.01007080078125, -0.00007724761962890625, -0.0242919921875, 0.0255126953125, -0.006744384765625, -0.00067138671875, -0.015869140625, -0.003753662109375, -0.004119873046875, 0.01300048828125, -0.003448486328125, 0.006378173828125, 0.00022411346435546875, 0.0205078125, -0.0035552978515625...
[ 145581, 3642, 456, 434, 18781, 68330, 678, 100, 105823, 17198, 50828, 47, 18151, 69101, 6626, 5303, 3871, 25632, 9384, 43581, 2565, 214, 30646, 18499, 26785 ]
[ 0.2247314453125, 0.05328369140625, 0.1463623046875, 0.1260986328125, 0.1676025390625, 0.2471923828125, 0.1541748046875, 0.12939453125, 0.2291259765625, 0.078125, 0.0787353515625, 0.003662109375, 0.0902099609375, 0.1500244140625, 0.04803466796875, 0.1529541015625, 0.03375244140625, ...
embed
77988462_c7
77988462
python
7
1Xp7xHIzu1ih4rSkNwrsx231GTfzo6dHMsi12oEdyn6mXavWehBDbzVDxbeqR, xzypnIPnv6cBMQQDS4sdquoCsvIqJRWmF9ow79oHhzSTwGJj4, jEQi7QMTDR30rYiPTIdE63bnuARdgNF, dqB7n4ZJv566jvbzHpfCTqrJyj7Guvjr9i56NpLmz2DA, END
1Xp7xHIzu1ih4rSkNwrsx231GTfzo6dHMsi12oEdyn6mXavWehBDbzVDxbeqR, xzypnIPnv6cBMQQDS4sdquoCsvIqJRWmF9ow79oHhzSTwGJj4, jEQi7QMTDR30rYiPTIdE63bnuARdgNF, dqB7n4ZJv566jvbzHpfCTqrJyj7Guvjr9i56NpLmz2DA, END
[ 0.0052490234375, 0.00897216796875, -0.01416015625, 0.01531982421875, -0.017578125, 0.017578125, 0.01190185546875, 0.00732421875, 0.01312255859375, -0.005401611328125, 0.0262451171875, 0.00119781494140625, 0.01953125, -0.01031494140625, -0.00927734375, 0.002471923828125, 0.00799560546...
[ 106, 1542, 254, 966, 425, 21159, 1667, 418, 1043, 617, 42, 92, 5429, 7, 304, 5016, 37315, 1158, 910, 71, 46592, 172, 1530, 31, 17872, 3818, 275, 169, 856, 397, 372, 1052, 4, 1022, 3285, 19, 10931, 74965, 66286, 13526, 30922, 441, 67...
[ 0.1806640625, 0.09375, 0.08807373046875, 0.09552001953125, 0.1514892578125, 0.16162109375, 0.16748046875, 0.0216522216796875, 0.11083984375, 0.129150390625, 0.1427001953125, 0.001953125, 0.04156494140625, 0.1171875, 0.035430908203125, 0.209716796875, 0.05560302734375, 0.03863525390...
embed
8215437_c0
8215437
python
0
Title: Floating point accuracy in python Problem title: Floating point accuracy in python Tags: floating-point, python Problem: Floating point accuracy in python Code signals: math, ceil, Floating
Floating point accuracy in python Floating point accuracy in python floating-point python math ceil Floating Floating point accuracy in python Any reason why c shouldn't equal 0.321? Update: For anyone wanting to know how I got the value I was looking for:
[ 0.001983642578125, -0.005645751953125, -0.0123291015625, -0.00970458984375, 0.0069580078125, 0.0157470703125, 0.003753662109375, -0.004486083984375, -0.006378173828125, 0.0257568359375, 0.0023040771484375, -0.01300048828125, -0.01165771484375, 0.03271484375, -0.02392578125, -0.00500488...
[ 38699, 26518, 6275, 61689, 219, 2408, 23, 17198, 50828, 21917, 38496, 48909, 405, 379, 28541, 31635, 15400, 501, 5608, 19, 18, 105950, 127089, 3117, 28641, 35672, 3444, 214, 3714, 3642, 4163, 34292, 16487, 100 ]
[ 0.2098388671875, 0.14208984375, 0.1751708984375, 0.1761474609375, 0.16015625, 0.0926513671875, 0.07861328125, 0.1396484375, 0.2156982421875, 0.1878662109375, 0.1461181640625, 0.1259765625, 0.15283203125, 0.1444091796875, 0.004638671875, 0.10394287109375, 0.09039306640625, 0.1431884...
embed
40281610_c0
40281610
python
0
Title: find all subgroups between subgroups Problem title: find all subgroups between subgroups Tags: algorithm, python Problem: find all subgroups between subgroups Code signals: itertools.product
find all subgroups between subgroups find all subgroups between subgroups algorithm python itertools.product find all subgroups between subgroups i have a list of subgroups: ((1,2),(3,4),(5,6,7)) i need to get all subgroups between the given subgroups (and not just subgroup inside subgroups), so for the example above i...
[ -0.003997802734375, 0.00396728515625, 0.0034027099609375, 0.017578125, -0.0093994140625, 0.0198974609375, -0.0224609375, 0.0026397705078125, 0.01446533203125, 0.019287109375, 0.005889892578125, 0.0255126953125, 0.025146484375, 0.00150299072265625, -0.01416015625, 0.0189208984375, 0.0...
[ 7413, 756, 1614, 51588, 7, 17721, 234873, 17198, 50828, 720, 89110, 57877, 5303, 133063, 82449, 104116, 136555, 3871, 2046, 34475, 46132, 27781, 37842, 16750, 138, 21162, 35914, 49413, 201, 21320, 35604, 21115, 132283 ]
[ 0.1160888671875, 0.1668701171875, 0.2247314453125, 0.250732421875, 0.10791015625, 0.256103515625, 0.17822265625, 0.038543701171875, 0.1026611328125, 0.16748046875, 0.2032470703125, 0.166259765625, 0.082275390625, 0.06182861328125, 0.1260986328125, 0.0191650390625, 0.104248046875, 0...
embed
40680550_c0
40680550
python
0
Title: Directory Math Error with [i] Problem title: Directory Math Error with [i] Tags: python Problem: Directory Math Error with [i] Code signals: KeyError, Directory, Math, Error, Traceback, File
Directory Math Error with [i] Directory Math Error with [i] python KeyError Directory Math Error Traceback File Directory Math Error with [i] I was working on a simple math solver, and I created a directory where the user's inputs would store: I also had the code which would solve the problem in question (the i is set ...
[ 0.005401611328125, -0.005157470703125, 0.0024871826171875, -0.01513671875, -0.00775146484375, 0.00762939453125, 0.01409912109375, 0.0245361328125, -0.001251220703125, 0.03125, -0.009765625, 0.001434326171875, 0.005523681640625, 0.006439208984375, -0.0028076171875, -0.0047607421875, 0...
[ 31068, 53, 78804, 212059, 678, 14, 17198, 50828, 26824, 18468, 31611, 4937, 329, 12620, 42724, 378, 20697, 8781, 48909, 3115, 814, 75935, 14364, 38937, 107730, 4343, 18151, 86869, 2967, 2347, 17, 5423, 28032, 1528, 35509, 5941, 2053, 3674, ...
[ 0.2047119140625, 0.1319580078125, 0.224609375, 0.1976318359375, 0.16064453125, 0.164306640625, 0.07342529296875, 0.16845703125, 0.1376953125, 0.1409912109375, 0.0869140625, 0.11279296875, 0.057708740234375, 0.2047119140625, 0.159912109375, 0.0068359375, 0.0285186767578125, 0.066833...
embed
11502108_c0
11502108
python
0
Title: Having trouble with regex groups Problem title: Having trouble with regex groups Tags: python, regex Problem: Having trouble with regex groups Code signals: Having, re.search, a.groups, None
Having trouble with regex groups Having trouble with regex groups python regex Having re.search a.groups None Having trouble with regex groups Why is the '...' version the only one that populates 'groups'?
[ -0.002532958984375, -0.0034637451171875, -0.005279541015625, 0.036865234375, -0.0174560546875, 0.015625, 0.0108642578125, -0.004486083984375, 0.00836181640625, 0.03076171875, -0.0185546875, 0.028564453125, 0.00110626220703125, -0.004730224609375, 0.0098876953125, 0.006683349609375, 0...
[ 171855, 63134, 678, 6835, 3355, 94407, 17198, 50828, 456, 86250, 10, 51588, 438, 44084, 27, 11389, 4734, 27623, 1636, 7 ]
[ 0.0380859375, 0.160888671875, 0.044403076171875, 0.1300048828125, 0.196533203125, 0.2119140625, 0.059173583984375, 0.1407470703125, 0.08392333984375, 0.1788330078125, 0.052642822265625, 0.203369140625, 0.009613037109375, 0.0384521484375, 0.1357421875, 0.15478515625, 0.09735107421875,...
embed
62999314_c2
62999314
python
2
time.time, Setup, Cij, C11, C22, C33, C12, C13, C23, C21, C31, C32, C14, C15, C16, C24, C25, C26, C34, C35, C36, C41, C42, C43, C51, C52, C53, C61, C62, C63, C44, C55, C66, C45, C46, C56, C54, C64
time.time, Setup, Cij, C11, C22, C33, C12, C13, C23, C21, C31, C32, C14, C15, C16, C24, C25, C26, C34, C35, C36, C41, C42, C43, C51, C52, C53, C61, C62, C63, C44, C55, C66, C45, C46, C56, C54, C64
[ 0.00136566162109375, -0.01300048828125, 0.01190185546875, -0.01446533203125, -0.00482177734375, -0.0029144287109375, -0.00762939453125, -0.0150146484375, 0.024658203125, 0.00201416015625, -0.02392578125, -0.004058837890625, -0.006317138671875, -0.0224609375, -0.00156402587890625, 0.017...
[ 1733, 5, 6032, 4, 19943, 2037, 2079, 170, 313, 1662, 4015, 9185, 1530, 2681, 3742, 3117, 5016, 6460, 2592, 1837, 2485, 2357, 2588, 4046, 10289, 5843, 8659, 8894, 13023, 11548, 11703, 12744, 14226, 11540, 10837, 15748, 12465, 11663, 14604, ...
[ 0.270751953125, 0.15185546875, 0.26953125, 0.0863037109375, 0.222412109375, 0.22314453125, 0.16796875, 0.240478515625, 0.1383056640625, 0.19140625, 0.1827392578125, 0.241455078125, 0.1636962890625, 0.16259765625, 0.1676025390625, 0.1513671875, 0.2003173828125, 0.1851806640625, 0....
embed
56256739_c0
56256739
python
0
Title: Reshape arrays in Python Problem title: Reshape arrays in Python Tags: numpy, arrays, python Problem: Reshape arrays in Python Code signals: numpy, Reshape, Python, np.array, np.column_stack
Reshape arrays in Python Reshape arrays in Python numpy arrays python numpy Reshape Python np.array np.column_stack Reshape arrays in Python I need to reshape two arrays into a certain shape I already used np.column_stack(x,y) to get: however, now i need the array to get to the following shape: Is this possible? Thanks...
[ 0.00799560546875, 0.0208740234375, 0.00037384033203125, 0.0238037109375, 0.0113525390625, 0.0108642578125, -0.003570556640625, 0.0030517578125, 0.0308837890625, 0.0186767578125, 0.0029144287109375, -0.004608154296875, 0.005401611328125, 0.02978515625, -0.03125, -0.01129150390625, 0.0...
[ 853, 2420, 1081, 10298, 4778, 23, 145581, 13269, 6493, 17198, 50828, 25037, 19305, 53, 8447, 316, 590, 2594, 3871, 47, 456, 6626, 3934, 24233, 115700, 21771, 11814, 425, 2046, 49903, 5036, 25632, 2071, 903, 7722, 22362, 1146 ]
[ 0.1568603515625, 0.259033203125, 0.1683349609375, 0.2080078125, 0.1680908203125, 0.044281005859375, 0.256103515625, 0.0999755859375, 0.1217041015625, 0.092041015625, 0.1253662109375, 0.1439208984375, 0.1505126953125, 0.1195068359375, 0.05340576171875, 0.1270751953125, 0.106689453125,...
embed
66545650_c0
66545650
python
0
Title: How to output to dict type in Pandas Problem title: How to output to dict type in Pandas Tags: python, pandas Problem: How to output to dict type in Pandas Code signals: How, Pandas, s.index
How to output to dict type in Pandas How to output to dict type in Pandas python pandas How Pandas s.index How to output to dict type in Pandas I have the following data, and I would like to output it in a dict type, but after trying various ways, I get an error, so I asked this question. s s.index ↓Originally, this is...
[ 0.017822265625, -0.0035552978515625, -0.00738525390625, -0.005096435546875, -0.033447265625, -0.0294189453125, 0.003204345703125, 0.00689697265625, -0.008056640625, 0.01300048828125, 0.0064697265625, -0.020751953125, 0, 0.0072021484375, 0.0264892578125, 0.01043701171875, -0.008605957...
[ 11249, 47, 140992, 61669, 10644, 23, 89308, 7, 17198, 50828, 2652, 1124, 91, 5, 4711, 70, 25632, 2053, 1884, 31577, 67842, 18499, 101188, 242877, 903, 3642, 3444, 6713, 765, 37842, 63262, 105546, 1810, 111, 99091, 10, 33102, 757, 13267, 1...
[ 0.057769775390625, 0.1165771484375, 0.2313232421875, 0.2244873046875, 0.240966796875, 0.07342529296875, 0.204833984375, 0.1435546875, 0.05157470703125, 0.09375, 0.1090087890625, 0.098876953125, 0.1207275390625, 0.00787353515625, 0.183349609375, 0.00128173828125, 0.05108642578125, 0...
embed
74395742_c0
74395742
python
0
Title: Game repeating output several times Problem title: Game repeating output several times Tags: python Problem: Game repeating output several times Code signals: Game, Correct, Incorrect, Score
Game repeating output several times Game repeating output several times python Game Correct Incorrect Score Game repeating output several times I'm making a small scrambled word game and am trying to implement a 'rescramble' feature. So far, if the user chooses to rescramble the word, I call the game function and place...
[ -0.003021240234375, 0.0208740234375, -0.0078125, 0.01416015625, 0.0037689208984375, -0.0003757476806640625, 0.0087890625, 0.005157470703125, -0.01348876953125, 0.028076171875, -0.00025177001953125, 0.00469970703125, -0.006072998046875, 0.0260009765625, -0.006011962890625, 0.01440429687...
[ 13547, 119140, 214, 140992, 40368, 20028, 17198, 50828, 46348, 15390, 360, 32399, 168071, 20662, 19336, 15182, 40099, 2565, 6712, 31577, 29479, 80790, 2198, 2661, 60213, 2060, 38937, 55076, 3332, 11782, 32354, 3687, 5701, 107730, 509, 7311, 629...
[ 0.1925048828125, 0.280517578125, 0.0487060546875, 0.223388671875, 0.159912109375, 0.21142578125, 0.087890625, 0.128173828125, 0.126220703125, 0.055023193359375, 0.04766845703125, 0.157958984375, 0.1732177734375, 0.04241943359375, 0.036529541015625, 0.1470947265625, 0.164794921875, ...
embed
75843726_c0
75843726
python
0
Title: regex that matches simple arithmetic expressions Problem title: regex that matches simple arithmetic expressions Tags: python, regex Problem: regex that matches simple arithmetic expressions
regex that matches simple arithmetic expressions regex that matches simple arithmetic expressions python regex regex that matches simple arithmetic expressions i have a solution, but the only problem is that for example "7=7=7" is matched and that should not be the case. see below of what is matched and not these are m...
[ 0.00060272216796875, -0.00811767578125, -0.0162353515625, 0.0284423828125, 0.00836181640625, 0.00469970703125, 0.0062255859375, 0.02880859375, 0.010498046875, -0.003753662109375, -0.0052490234375, -0.011962890625, -0.0036163330078125, 0.010009765625, 0.01165771484375, 0.00341796875, ...
[ 6835, 3355, 450, 14858, 90, 8781, 8962, 125195, 282, 17198, 50828, 187, 29806, 4734, 2967, 966, 1369, 297, 5608, 959, 7225, 136, 26785, 6097, 17, 30022, 105950, 24092, 831, 2685, 24145, 8110, 14012, 7103, 35166 ]
[ 0.138427734375, 0.2149658203125, 0.06231689453125, 0.19482421875, 0.04656982421875, 0.1668701171875, 0.1087646484375, 0.1829833984375, 0.0235443115234375, 0.07098388671875, 0.12158203125, 0.00384521484375, 0.05712890625, 0.06085205078125, 0.0985107421875, 0.1329345703125, 0.051361083...
embed
29925303_c0
29925303
python
0
Title: Pandas extract dataframe time series Problem title: Pandas extract dataframe time series Tags: pandas, python Problem: Pandas extract dataframe time series Code signals: Pandas, df.index, NMN
Pandas extract dataframe time series Pandas extract dataframe time series pandas python Pandas df.index NMN Pandas extract dataframe time series In the following dataframe, datetime column is the index, and I want to extract values from 2015 to 2020. However, when I use the command above, it only extracts values rangin...
[ 0.0225830078125, 0.0198974609375, 0.009033203125, -0.000728607177734375, -0.006805419921875, -0.016845703125, -0.000560760498046875, 0.0021514892578125, 0.00128936767578125, -0.012939453125, -0.01708984375, -0.021240234375, -0.0179443359375, 0.011474609375, 0.0029144287109375, 0.018066...
[ 89308, 7, 125663, 2053, 160328, 1733, 36549, 2652, 1124, 17198, 50828, 104, 420, 4711, 541, 46720, 25632, 5622, 6032, 3365, 316, 83, 63262, 3444, 47, 142424, 1295, 918, 83489, 33306, 4527, 75101, 36917, 4734, 17163, 214, 3342, 106, 2806, ...
[ 0.2242431640625, 0.0660400390625, 0.2115478515625, 0.098876953125, 0.251953125, 0.1478271484375, 0.2232666015625, 0.094482421875, 0.0882568359375, 0.061492919921875, 0.1263427734375, 0.0140380859375, 0.1444091796875, 0.20751953125, 0.0299224853515625, 0.213623046875, 0.085693359375, ...
embed
37573373_c0
37573373
python
0
Title: Python dict key Sorted by list as value Problem title: Python dict key Sorted by list as value Tags: list, python Problem: Python dict key Sorted by list as value Code signals: Python, Sorted
Python dict key Sorted by list as value Python dict key Sorted by list as value list python Python Sorted Python dict key Sorted by list as value I have a list of dict like this, the value of each dict key is a list, The number of dict in list will vary. How i can get output like this, Each dict value in ascending orde...
[ 0.02197265625, 0.012939453125, -0.001068115234375, -0.0255126953125, -0.0074462890625, -0.0166015625, 0.0028839111328125, -0.007293701171875, -0.01458740234375, 0.03662109375, -0.00933837890625, 0.01153564453125, -0.0042724609375, 0.00860595703125, -0.0224609375, -0.01080322265625, -...
[ 145581, 61669, 22799, 53666, 297, 390, 5303, 237, 34292, 17198, 50828, 1884, 903, 12638, 83, 14012, 23, 285, 831, 2046, 140992, 98423, 82800, 12989 ]
[ 0.248779296875, 0.2213134765625, 0.219970703125, 0.1871337890625, 0.07708740234375, 0.09991455078125, 0.194091796875, 0.135498046875, 0.249267578125, 0.0782470703125, 0.0870361328125, 0.0860595703125, 0.044403076171875, 0.042022705078125, 0.0089111328125, 0.0400390625, 0.007843017578...
embed
42590069_c3
42590069
python
3
020105, A020106, A020107, A020108, A020109, A020110, A030101, A030102, A030103, A030104, A030105, A030106, A030107, A030108, A030109, A030110, A010201, A010202, A030210, B010101, B010102, python-3.x
020105, A020106, A020107, A020108, A020109, A020110, A030101, A030102, A030103, A030104, A030105, A030106, A030107, A030108, A030109, A030110, A010201, A010202, A030210, B010101, B010102, python-3.x
[ -0.0029449462890625, -0.00185394287109375, -0.0133056640625, 0.0244140625, 0.0022735595703125, -0.0030517578125, 0.003204345703125, -0.0031585693359375, 0.0234375, 0.056884765625, 0.011962890625, -0.01904296875, 0.00921630859375, 0.013427734375, -0.015625, -0.0206298828125, 0.0175781...
[ 757, 11436, 758, 4, 62, 113266, 54100, 44141, 69139, 106000, 36053, 153808, 35046, 49150, 63620, 66947, 46659, 76327, 123885, 143179, 88142, 335, 17198, 50828, 8316, 5, 425 ]
[ 0.164794921875, 0.23388671875, 0.20947265625, 0.0927734375, 0.1915283203125, 0.2095947265625, 0.242431640625, 0.2403564453125, 0.228515625, 0.22802734375, 0.1708984375, 0.175537109375, 0.1669921875, 0.1636962890625, 0.16162109375, 0.1417236328125, 0.1622314453125, 0.14697265625, ...
embed
49202746_c0
49202746
python
0
Title: Binning all values with pandas.cut Problem title: Binning all values with pandas.cut Tags: pandas, python Problem: Binning all values with pandas.cut Code signals: Binning, pandas.cut, pd.cut
Binning all values with pandas.cut Binning all values with pandas.cut pandas python Binning pandas.cut pd.cut Binning all values with pandas.cut I have a dataframe that looks like the following: The last value is much higher than the rest. I'm trying to bin all the values into 5 bins using pd.cut: pd.cut(df['value'], 5...
[ 0.0167236328125, -0.0169677734375, -0.010498046875, 0.00897216796875, 0.01470947265625, -0.0103759765625, -0.00823974609375, -0.0172119140625, 0.02197265625, 0.010009765625, -0.0084228515625, -0.016357421875, 0.006011962890625, -0.004547119140625, 0.025146484375, 0.008056640625, -0.0...
[ 16666, 592, 756, 142424, 678, 2652, 1124, 19774, 17198, 50828, 5, 915, 71, 2053, 160328, 33342, 1884, 4568, 34292, 5045, 77546, 10588, 31577, 2394, 3934, 190, 420, 27494, 67967, 155761, 80389, 4734, 30646, 94407, 136, 1892, 123019, 104250, ...
[ 0.2213134765625, 0.0926513671875, 0.1396484375, 0.198486328125, 0.0294189453125, 0.1217041015625, 0.1693115234375, 0.2161865234375, 0.061767578125, 0.1280517578125, 0.021484375, 0.04693603515625, 0.1396484375, 0.08056640625, 0.193603515625, 0.0772705078125, 0.006744384765625, 0.099...
embed
123198_c0
123198
python
0
Title: How do I copy a file? Problem title: How do I copy a file? Tags: python, file, filesystems, file-copying, copy Problem: How do I copy a file? How do I copy a file in Python? Code signals: How
How do I copy a file? How do I copy a file? python file filesystems file-copying copy How How do I copy a file? How do I copy a file in Python?
[ -0.005218505859375, 0.0003070831298828125, -0.007110595703125, 0.02197265625, -0.011962890625, -0.010009765625, 0.01141357421875, -0.0111083984375, 0.0032196044921875, -0.0140380859375, 0.02099609375, -0.022705078125, -0.0177001953125, 0.035400390625, -0.0234375, 0.003326416015625, -...
[ 11249, 54, 87, 43658, 11435, 32, 17198, 50828, 16751, 137366, 214, 10, 23, 145581 ]
[ 0.11767578125, 0.09088134765625, 0.107177734375, 0.2176513671875, 0.193359375, 0.01263427734375, 0.07861328125, 0.1502685546875, 0.113037109375, 0.16455078125, 0.06475830078125, 0.0295867919921875, 0.064697265625, 0.2489013671875 ]
embed
62989746_c0
62989746
python
0
Title: Update column for all rows in first group Problem title: Update column for all rows in first group Tags: pandas, python Problem: Update column for all rows in first group Code signals: Update
Update column for all rows in first group Update column for all rows in first group pandas python Update Update column for all rows in first group I need to update the value of a column for all rows in the first group of a dataframe. For example I have the following df: I need to group by date and set all amount values...
[ 0.0269775390625, -0.01025390625, -0.00518798828125, 0.042724609375, -0.0032806396484375, -0.004913330078125, 0.005859375, 0.0125732421875, 0.016357421875, 0.053466796875, -0.0086669921875, 0.0167236328125, 0.01373291015625, 0.01068115234375, -0.01226806640625, 0.0189208984375, -0.000...
[ 28641, 3365, 316, 19, 100, 756, 15555, 7, 23, 5117, 21115, 2652, 1124, 17198, 50828, 3871, 28350, 34292, 2053, 160328, 420, 5622, 5423, 41170, 142424, 47, 757, 16750 ]
[ 0.2210693359375, 0.17333984375, 0.187744140625, 0.052581787109375, 0.05450439453125, 0.11474609375, 0.2216796875, 0.05450439453125, 0.023590087890625, 0.1318359375, 0.212646484375, 0.0887451171875, 0.085205078125, 0.05096435546875, 0.0946044921875, 0.042633056640625, 0.1759033203125,...
embed
63539970_c0
63539970
python
0
Title: Numpy python array slicing Problem title: Numpy python array slicing Tags: python, numpy-slicing, multidimensional-array, numpy, arrays Problem: Numpy python array slicing Code signals: Numpy
Numpy python array slicing Numpy python array slicing python numpy-slicing multidimensional-array numpy arrays Numpy Numpy python array slicing I have an array as shown below, I want to slice the first and third columns for all the rows and wanna get this output, Does anyone have any ideas? Output screenshot:
[ 0.0123291015625, 0.0228271484375, 0.00421142578125, 0.0120849609375, -0.00174713134765625, -0.014892578125, 0.0036773681640625, 0.01336669921875, -0.0010223388671875, 0.0225830078125, -0.00086212158203125, -0.019287109375, -0.0283203125, 0.0069580078125, -0.029541015625, -0.00933837890...
[ 52782, 6493, 17198, 50828, 10298, 53, 28756, 21896, 13269, 9120, 214, 6024, 157955, 19305, 127887, 35064, 3444, 91, 13348, 5117, 136, 50960, 3365, 316, 1779, 100, 756, 15555, 6165, 76, 903, 140992, 35672, 25647, 13538, 7077, 209647 ]
[ 0.1448974609375, 0.1854248046875, 0.099365234375, 0.1356201171875, 0.170654296875, 0.1014404296875, 0.1390380859375, 0.0802001953125, 0.114501953125, 0.1082763671875, 0.0341796875, 0.03399658203125, 0.085693359375, 0.129150390625, 0.023406982421875, 0.05609130859375, 0.076904296875, ...
embed
54925202_c0
54925202
python
0
Title: How to make correlation matrix Problem title: How to make correlation matrix Tags: correlation, matrix, pandas, python Problem: How to make correlation matrix Code signals: How, y35, np.array
How to make correlation matrix How to make correlation matrix correlation matrix pandas python How y35 np.array How to make correlation matrix I'm trying to make a correlation matrix of some data I have given in an array below: I the dimension is (7,10) and I want the correlation between the 7 rows. I have seen the met...
[ 0.0125732421875, 0.003143310546875, 0.00250244140625, -0.0086669921875, 0.0123291015625, 0.00005269050598144531, 0.00154876708984375, 0.023681640625, 0.01312255859375, -0.027099609375, -0.01318359375, -0.033203125, 0.019775390625, 0.00142669677734375, -0.00775146484375, 0.0004081726074...
[ 11249, 47, 3249, 16106, 57860, 50944, 425, 2652, 1124, 17198, 50828, 113, 5843, 25037, 19305, 53, 31577, 2053, 34475, 10298, 35064, 91403, 19107, 50258, 3444, 17721, 361, 15555, 51592, 70, 55300, 67070, 132, 37202, 3714, 7440, 7077, 759, 45...
[ 0.08648681640625, 0.046722412109375, 0.1448974609375, 0.1873779296875, 0.1888427734375, 0.2200927734375, 0.1387939453125, 0.099609375, 0.118896484375, 0.0804443359375, 0.135009765625, 0.097412109375, 0.2333984375, 0.1429443359375, 0.125244140625, 0.040924072265625, 0.036865234375, ...
embed
68658976_c0
68658976
python
0
Title: Count if array in pandas Problem title: Count if array in pandas Tags: python, pandas Problem: Count if array in pandas Code signals: Count, week1, week2, week3, week4, week5, POSITIVE, WEEKS
Count if array in pandas Count if array in pandas python pandas Count week1 week2 week3 week4 week5 POSITIVE WEEKS Count if array in pandas I'm trying to get a new column with the number of columns that are positive for every index row this is what the data frame looks like: and this is the result that I'm looking for,...
[ 0.0034332275390625, 0.00823974609375, -0.00135040283203125, 0.0218505859375, -0.00927734375, 0.0024566650390625, 0.004730224609375, 0.00083160400390625, 0.0113525390625, 0.01300048828125, -0.016845703125, -0.0247802734375, 0.018798828125, 0.01373291015625, -0.01116943359375, 0.00479125...
[ 108210, 2174, 10298, 53, 23, 2652, 1124, 17198, 50828, 5895, 418, 304, 363, 617, 758, 54602, 568, 169813, 56530, 127459, 3525, 3365, 316, 19, 14012, 24491, 11907, 63262, 15555, 2053, 123789, 33342, 1884, 16487, 54529, 40859 ]
[ 0.18017578125, 0.1982421875, 0.17724609375, 0.118896484375, 0.04559326171875, 0.1246337890625, 0.134033203125, 0.040802001953125, 0.0982666015625, 0.1787109375, 0.0232696533203125, 0.0338134765625, 0.040679931640625, 0.0870361328125, 0.1151123046875, 0.1097412109375, 0.0828857421875,...
embed
37281200_c0
37281200
python
0
Title: Unpacking bytes to int Problem title: Unpacking bytes to int Tags: python Problem: Unpacking bytes to int Code signals: Unpacking, myClient.mySocket.recv, struct.unpack, struct.error, x02, x00
Unpacking bytes to int Unpacking bytes to int python Unpacking myClient.mySocket.recv struct.unpack struct.error x02 x00 Unpacking bytes to int I'm new to struct module and I'm trying to do something like this: Getting value from my server and then unpack it to integer, I'm receving the value but it won't unpack giving...
[ 0.009033203125, 0.0223388671875, 0.003997802734375, 0.037353515625, 0.00811767578125, 0.033935546875, -0.006591796875, -0.0032806396484375, 0.015869140625, 0.01544189453125, 0.019287109375, -0.0126953125, 0.0010833740234375, 0.0400390625, -0.01104736328125, -0.0031280517578125, 0.002...
[ 992, 29102, 390, 1636, 47, 23, 18, 17198, 50828, 759, 150, 2517, 1176, 8912, 27853, 31688, 334, 36716, 309, 188800, 1022, 9550, 7049, 88996, 31577, 210732, 34292, 10723, 51, 892, 1505, 27747, 6496, 1284, 23742, 903, 18499, 135961, 33720, ...
[ 0.133544921875, 0.285888671875, 0.12353515625, 0.112548828125, 0.10595703125, 0.1243896484375, 0.1541748046875, 0.07421875, 0.1376953125, 0.032379150390625, 0.0517578125, 0.012054443359375, 0.05126953125, 0.046356201171875, 0.1256103515625, 0.052642822265625, 0.1328125, 0.190795898...
embed
38288110_c0
38288110
python
0
Title: Get value in list on Python Problem title: Get value in list on Python Tags: python, lambda, list-comprehension Problem: Get value in list on Python Code signals: Get, Python, i:x, tweets_data
Get value in list on Python Get value in list on Python python lambda list-comprehension Get Python i:x tweets_data Get value in list on Python See the code: But my return value is: Can I get a real value? My real problem is this line of code : and my return is for example:
[ -0.0084228515625, 0.00592041015625, 0.0137939453125, 0.006744384765625, 0.00113677978515625, 0.010009765625, 0.0296630859375, 0.034912109375, 0.0079345703125, -0.025390625, 0.00927734375, -0.021728515625, -0.004302978515625, -0.0098876953125, -0.007080078125, 0.01318359375, 0.0056152...
[ 20779, 34292, 23, 5303, 98, 145581, 17198, 50828, 21, 6492, 85, 277, 4692, 3220, 6889, 17, 425, 89406, 7, 10135, 18151, 30646, 4171, 2046, 2773, 2967, 13315, 27781 ]
[ 0.1112060546875, 0.239501953125, 0.104736328125, 0.217041015625, 0.0792236328125, 0.2587890625, 0.10394287109375, 0.117919921875, 0.013031005859375, 0.1490478515625, 0.0755615234375, 0.007720947265625, 0.1097412109375, 0.1177978515625, 0.000213623046875, 0.013763427734375, 0.06390380...
embed
41972183_c0
41972183
python
0
Title: Python sort by date - specific file names Problem title: Python sort by date - specific file names Tags: python, sorting Problem: Python sort by date - specific file names Code signals: Python
Python sort by date - specific file names Python sort by date - specific file names python sorting Python Python sort by date - specific file names I have file names listed in a text file that looks like: How can i sort them by date and just extract the newest one?
[ 0.0247802734375, 0.0024261474609375, -0.0115966796875, 0.01129150390625, -0.028564453125, -0.006866455078125, -0.003173828125, 0.0059814453125, -0.00750732421875, 0.04150390625, -0.0189208984375, -0.00799560546875, -0.00066375732421875, -0.001983642578125, -0.013671875, -0.011474609375...
[ 145581, 12096, 390, 5622, 29458, 11435, 123055, 20, 17198, 50828, 214, 87, 765, 145870, 7986, 33342, 1884, 11249, 831, 17, 2856, 1660, 125663, 3525, 525 ]
[ 0.240478515625, 0.201416015625, 0.1156005859375, 0.1671142578125, 0.2001953125, 0.1627197265625, 0.1610107421875, 0.010589599609375, 0.1014404296875, 0.149658203125, 0.02606201171875, 0.0062255859375, 0.00775146484375, 0.1220703125, 0.099609375, 0.1112060546875, 0.06494140625, 0.01...
embed
69726500_c1
69726500
python
1
1/2018 1/1/2019 1/1/2020 1/1/2021 1 10 15 nan nan 2 12 16 nan 12 3 14 17 nan 13 4 24 18 12 14 5 25 18 13 55 6 nan 36 14 56 Thanks in advance! Code signals: ValueError, a, How, DF1.fillna, DF2, Cannot
1/2018 1/1/2019 1/1/2020 1/1/2021 1 10 15 nan nan 2 12 16 nan 12 3 14 17 nan 13 4 24 18 12 14 5 25 18 13 55 6 nan 36 14 56 Thanks in advance! Code signals: ValueError, a, How, DF1.fillna, DF2, Cannot
[ 0.00921630859375, -0.002685546875, -0.031982421875, 0.031494140625, -0.010498046875, 0.004302978515625, -0.0076904296875, 0.0050048828125, 0.00262451171875, 0.049072265625, -0.0181884765625, -0.0030975341796875, 0.01348876953125, 0.01171875, -0.001190185546875, 0.001007080078125, -0....
[ 106, 18242, 142998, 64, 32196, 49409, 128607, 209, 423, 25990, 116, 427, 611, 138, 616, 729, 702, 201, 744, 543, 714, 4859, 305, 4039, 9103, 22362, 23, 129745, 38, 28864, 26073, 7, 12, 190060, 18468, 31611, 10, 11249, 98411, 418, 5, 1...
[ 0.169677734375, 0.26416015625, 0.21630859375, 0.056121826171875, 0.2479248046875, 0.2109375, 0.23095703125, 0.1483154296875, 0.1741943359375, 0.173583984375, 0.09429931640625, 0.140869140625, 0.158203125, 0.10888671875, 0.160888671875, 0.111572265625, 0.1346435546875, 0.11437988281...
embed
72936117_c4
72936117
python
4
RI0vLl0ofMCZgcVzAGXWFx82EFGA3J0ENS1gXVW, LLEVF37rMg1ZF4Qg5u4rXD50SwuaePO4wX1I9ESkzyyufJn4tblPhds8Mqfaf, GWf1C0jfsV5LhxFnzmsgMoTs2IVg09AOgvEMtSOOBcYiE7hHln2r, Kw2nRsvzH2uvExb5ygOKi0J5JcvBvrChu6mmdVwYC
RI0vLl0ofMCZgcVzAGXWFx82EFGA3J0ENS1gXVW, LLEVF37rMg1ZF4Qg5u4rXD50SwuaePO4wX1I9ESkzyyufJn4tblPhds8Mqfaf, GWf1C0jfsV5LhxFnzmsgMoTs2IVg09AOgvEMtSOOBcYiE7hHln2r, Kw2nRsvzH2uvExb5ygOKi0J5JcvBvrChu6mmdVwYC
[ -0.000926971435546875, 0.01483154296875, -0.01458740234375, 0.003265380859375, 0.00994873046875, -0.01220703125, 0.004486083984375, -0.01397705078125, 0.025634765625, 0.02294921875, 0.021240234375, 0.00970458984375, 0.016357421875, -0.0157470703125, -0.0115966796875, 0.0113525390625, ...
[ 30976, 2389, 334, 866, 141, 4390, 52215, 168437, 12012, 28482, 14849, 42603, 1456, 4, 339, 136534, 919, 10945, 42, 594, 177, 617, 34, 92837, 2525, 16612, 13, 9698, 434, 1542, 34034, 1375, 19, 18, 6468, 1021, 420, 6, 102550, 441, 39271, ...
[ 0.2255859375, 0.06298828125, 0.1092529296875, 0.017425537109375, 0.06591796875, 0.148681640625, 0.07061767578125, 0.028045654296875, 0.1043701171875, 0.001983642578125, 0.03436279296875, 0.0745849609375, 0.1234130859375, 0.13720703125, 0.09368896484375, 0.2327880859375, 0.08142089843...
embed
73687671_c0
73687671
python
0
Title: How do I print a part of a json file python Problem title: How do I print a part of a json file python Tags: json, python Problem: How do I print a part of a json file python Code signals: How
How do I print a part of a json file python How do I print a part of a json file python json python How How do I print a part of a json file python How do I print a part of a JSON file In this case I want to save all the IP addresses from the file into another JSON.
[ -0.01007080078125, -0.004058837890625, -0.00457763671875, -0.0020599365234375, -0.03125, -0.001800537109375, -0.009765625, 0.0038604736328125, -0.004852294921875, 0.0211181640625, -0.002105712890625, -0.007354736328125, -0.00958251953125, 0.0035400390625, 0.0072021484375, -0.0009841918...
[ 11249, 54, 87, 28412, 10, 2831, 111, 1647, 1681, 11435, 17198, 50828, 821, 58627, 3444, 30098, 756, 8021, 29823, 3934, 15700 ]
[ 0.0504150390625, 0.046630859375, 0.0435791015625, 0.212646484375, 0.042694091796875, 0.1558837890625, 0.06402587890625, 0.1295166015625, 0.2132568359375, 0.1448974609375, 0.1119384765625, 0.1998291015625, 0.13623046875, 0.2125244140625, 0.0467529296875, 0.09442138671875, 0.0113830566...
embed
76534474_c1
76534474
python
1
73ecfd4dfe9d1b867611d90a36992, Exception, Length, create_part-assign-09b3043c2ae5ff26d93dd8951c816b5b, subgraph_callable-d50b8eb3-a0ef-454a-9a52-d58a57c3b693, getitem-9b88d3b8f6cca25fbd56e9023914c872
73ecfd4dfe9d1b867611d90a36992, Exception, Length, create_part-assign-09b3043c2ae5ff26d93dd8951c816b5b, subgraph_callable-d50b8eb3-a0ef-454a-9a52-d58a57c3b693, getitem-9b88d3b8f6cca25fbd56e9023914c872
[ 0.0033111572265625, 0.0216064453125, -0.006744384765625, 0.0140380859375, 0.00897216796875, -0.007568359375, -0.000606536865234375, 0.021728515625, 0.013916015625, 0.02734375, -0.00124359130859375, 0.002197265625, 0.00933837890625, 0.01287841796875, -0.010009765625, -0.0255126953125, ...
[ 14929, 13, 67466, 71, 617, 2242, 1126, 275, 15276, 11835, 1662, 5039, 125832, 12231, 4, 5443, 63928, 77554, 927, 28282, 17365, 162, 31304, 6463, 1197, 11548, 4046, 11591, 198467, 238, 2485, 1614, 41382, 85763, 2886, 2525, 6403, 4240, 152463...
[ 0.2027587890625, 0.04522705078125, 0.10546875, 0.014801025390625, 0.02288818359375, 0.105224609375, 0.03924560546875, 0.019134521484375, 0.04010009765625, 0.07257080078125, 0.0168609619140625, 0.1072998046875, 0.1295166015625, 0.1717529296875, 0.0257568359375, 0.126708984375, 0.24218...
embed
21276105_c0
21276105
python
0
Title: Slicing Pandas Dataframe by minutes Problem title: Slicing Pandas Dataframe by minutes Tags: pandas, python Problem: Slicing Pandas Dataframe by minutes Code signals: Slicing, Pandas, Dataframe
Slicing Pandas Dataframe by minutes Slicing Pandas Dataframe by minutes pandas python Slicing Pandas Dataframe Slicing Pandas Dataframe by minutes I have a dataframe like this: I would like to slice it by minutes , for example a slice between the third minute and the fifth, looking at the doc it seems that I would have...
[ 0.01373291015625, 0.006072998046875, 0.0172119140625, 0.0091552734375, -0.0157470703125, -0.037841796875, -0.0036773681640625, 0.00994873046875, -0.0145263671875, -0.00933837890625, -0.010498046875, -0.01513671875, -0.0120849609375, -0.005279541015625, 0.006378173828125, 0.015197753906...
[ 103216, 21896, 89308, 7, 11809, 160328, 390, 14633, 2652, 1124, 17198, 50828, 87, 765, 2053, 1884, 903, 2806, 47, 91, 13348, 442, 6, 4, 100, 27781, 10, 17721, 70, 50960, 15393, 809, 2480, 127, 99, 51584, 37202, 4527, 33938, 62351, 297, ...
[ 0.1883544921875, 0.123779296875, 0.2193603515625, 0.089111328125, 0.1317138671875, 0.253662109375, 0.12744140625, 0.273681640625, 0.1072998046875, 0.1087646484375, 0.10125732421875, 0.1461181640625, 0.00762939453125, 0.0308837890625, 0.121826171875, 0.088134765625, 0.037872314453125,...
embed
30503792_c0
30503792
python
0
Title: resize an array with a specific value Problem title: resize an array with a specific value Tags: numpy, python Problem: resize an array with a specific value Code signals: phase.resize, MAXLINE
resize an array with a specific value resize an array with a specific value numpy python phase.resize MAXLINE resize an array with a specific value I have an array phase and I would like to resize with the method resize and I get this result I would like to know if it's possible to set a specific value (Nan or -99999) ...
[ 0.0120849609375, 0.0196533203125, -0.000270843505859375, -0.000514984130859375, 0.006561279296875, -0.01373291015625, -0.0189208984375, 0.017578125, 0.01043701171875, 0.0244140625, -0.01019287109375, -0.00885009765625, -0.0142822265625, 0.0086669921875, 0.006805419921875, -0.0125122070...
[ 456, 62539, 10298, 53, 678, 10, 29458, 34292, 142, 13269, 6493, 17198, 50828, 93402, 107, 85378, 57339, 765, 1884, 55300, 16750, 3714, 7722, 5423, 839, 66, 707, 20, 65040, 101655, 64457, 111, 114977, 89678 ]
[ 0.1614990234375, 0.264404296875, 0.19970703125, 0.189453125, 0.148681640625, 0.0196380615234375, 0.235595703125, 0.2198486328125, 0.0255584716796875, 0.08160400390625, 0.1795654296875, 0.0775146484375, 0.1484375, 0.2288818359375, 0.10888671875, 0.1661376953125, 0.2469482421875, 0.0...
embed
18040999_c0
18040999
python
0
Title: Create Sections in Python Problem title: Create Sections in Python Tags: python Problem: Create Sections in Python Code signals: Create, Sections, Python, Section1, Section2, Section3, Section4
Create Sections in Python Create Sections in Python python Create Sections Python Section1 Section2 Section3 Section4 Create Sections in Python I am newbie to Python. I have large file with repetitive string through the logs Example: Expected Result Could some provide me pointers to proceed with this. I tried grep for ...
[ 0.01190185546875, 0.020263671875, -0.0111083984375, 0.0002193450927734375, 0.0006561279296875, -0.00433349609375, -0.0091552734375, 0.0177001953125, 0.001678466796875, 0.03369140625, -0.0186767578125, -0.0206298828125, 0.033203125, 0.006591796875, -0.0031280517578125, 0.01312255859375,...
[ 151313, 140978, 7, 23, 145581, 17198, 50828, 418, 304, 363, 617, 444, 3525, 9014, 47, 21334, 11435, 57346, 4935, 79315, 8305, 12684, 89536, 60075, 13, 89829, 126684, 191147, 22691, 163, 6275, 1314, 172337, 37842, 3514, 254, 100, 17311, 7619...
[ 0.18798828125, 0.281982421875, 0.123046875, 0.0732421875, 0.25390625, 0.10369873046875, 0.0975341796875, 0.040283203125, 0.030731201171875, 0.034576416015625, 0.0887451171875, 0.006134033203125, 0.0423583984375, 0.1064453125, 0.0548095703125, 0.03375244140625, 0.1239013671875, 0.17...
embed
19350889_c0
19350889
python
0
Title: Linear equations with modulo Problem title: Linear equations with modulo Tags: linear-algebra, python Problem: Linear equations with modulo Code signals: Linear, mod7, np.array, np.linalg.solve
Linear equations with modulo Linear equations with modulo linear-algebra python Linear mod7 np.array np.linalg.solve Linear equations with modulo This is what I am actually trying to do Example: Now, in this supposing I don't know y . I can calculate it using linear equations, like these: Without the mod7 , I can do it...
[ -0.004669189453125, 0.0167236328125, 0.0003566741943359375, 0.0220947265625, 0.0019073486328125, 0.0113525390625, 0.0257568359375, 0.0306396484375, 0.0107421875, -0.0267333984375, -0.00107574462890625, 0.01361083984375, 0.031494140625, 0.00139617919921875, -0.0091552734375, -0.00186157...
[ 16777, 147, 28, 13722, 5256, 678, 140807, 192617, 429, 2844, 17198, 50828, 2811, 966, 25037, 19305, 10061, 14686, 86918, 20653, 31577, 89536, 14240, 903, 15811, 7522, 214, 2301, 18, 3714, 113, 831, 74481, 67, 442, 17368, 4, 1884, 6097, 17...
[ 0.158447265625, 0.0784912109375, 0.01458740234375, 0.18017578125, 0.05474853515625, 0.0987548828125, 0.260498046875, 0.16943359375, 0.000732421875, 0.010284423828125, 0.06231689453125, 0.0977783203125, 0.180908203125, 0.1829833984375, 0.0767822265625, 0.06805419921875, 0.076416015625...
embed
60369395_c0
60369395
python
0
Title: Sum of python dictionaries Problem title: Sum of python dictionaries Tags: python, python-3.x Problem: Sum of python dictionaries print(l1) Code signals: Sum, account_id, amount_all, python-3.x
Sum of python dictionaries Sum of python dictionaries python python-3.x Sum account_id amount_all python-3.x Sum of python dictionaries I now want to ask for the account_id in l2 equal to the total amount of id in l1, but I have some problems with the for loop, I am a newbie, thanks for answering my questions
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[ 0.2181396484375, 0.108154296875, 0.09698486328125, 0.115966796875, 0.037109375, 0.076171875, 0.087158203125, 0.04052734375, 0.1964111328125, 0.1534423828125, 0.1507568359375, 0.1259765625, 0.0076904296875, 0.009368896484375, 0.117431640625, 0.08648681640625, 0.0125732421875, 0.0714...
embed