python - 矩阵中的列

Question

我必须提取 txt 文件的两列，并将它们放入矩阵中。这是我的代码:

fichier="fichier_position_2_test.txt"
file = open(fichier, "rb")

B=[]
for ligne in file:
   ligne = ligne.split(' ')
   B = array([(ligne[1]),(ligne[2])])
print B
print B[5,0]

它打印一个错误:

index 5 i out of bound.

看来我没有得到矩阵。

以下是 txt 文件的摘录:

0 0 8e-06 -5.2e-05
0.001 0 8e-06 -5.2e-05
0.002 -4.47168e-09 7.27762e-06 -5.20635e-05
0.003 -4.44939e-08 6.30378e-06 -5.23847e-05
0.004 -1.23794e-07 5.10395e-06 -5.29779e-05
0.005 -2.50143e-07 3.71246e-06 -5.38641e-05
0.006 -4.34734e-07 2.17422e-06 -5.50617e-05
0.007 -6.81754e-07 5.4552e-07 -5.65878e-05
0.008 -9.9514e-07 -1.1068e-06 -5.84496e-05
0.009 -1.38676e-06 -2.70711e-06 -6.06325e-05
0.01 -1.87106e-06 -4.17564e-06 -6.30971e-05
0.011 -2.43793e-06 -5.44811e-06 -6.58122e-05
0.012 -3.06817e-06 -6.48317e-06 -6.87451e-05
0.013 -3.74877e-06 -7.28368e-06 -7.18592e-05
0.014 -4.47468e-06 -7.85783e-06 -7.51507e-05
0.015 -5.25353e-06 -8.18399e-06 -7.86796e-05
0.016 -6.0518e-06 -8.2083e-06 -8.24502e-05
0.017 -6.85579e-06 -7.88863e-06 -8.63925e-05
0.018 -7.67301e-06 -7.23934e-06 -9.04763e-05
0.019 -8.52122e-06 -6.26409e-06 -9.48178e-05
0.02 -9.41844e-06 -5.0028e-06 -9.94931e-05
0.021 -1.03442e-05 -3.51387e-06 -0.000104472
0.022 -1.13166e-05 -1.8649e-06 -0.000109719
0.023 -1.22989e-05 -1.29706e-07 -0.000115202
0.024 -1.32971e-05 1.61182e-06 -0.000120907
0.025 -1.43445e-05 3.27188e-06 -0.000126905
0.026 -1.54456e-05 4.76694e-06 -0.000133113
0.027 -1.65588e-05 6.08799e-06 -0.000139468
0.028 -1.7704e-05 7.24749e-06 -0.000145865
0.029 -1.88498e-05 8.22123e-06 -0.000152123
0.03 -1.99753e-05 9.07204e-06 -0.000158219
0.031 -2.10926e-05 9.85231e-06 -0.000164232
0.032 -2.22015e-05 1.05878e-05 -0.000170185
0.033 -2.33038e-05 1.13142e-05 -0.000176124
0.034 -2.44061e-05 1.20406e-05 -0.000182063
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0.428 -0.000458728 0.000298245 -0.00252195
0.429 -0.00045983 0.000298971 -0.00252789
0.43 -0.000460932 0.000299698 -0.00253383
0.431 -0.000462035 0.000300424 -0.00253977
0.432 -0.000463137 0.000301151 -0.0025457
0.433 -0.000464239 0.000301877 -0.00255164
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0.435 -0.000466444 0.00030333 -0.00256352
0.436 -0.000467546 0.000304056 -0.00256946
0.437 -0.000468649 0.000304783 -0.0025754
0.438 -0.000469751 0.000305509 -0.00258134
0.439 -0.000470853 0.000306236 -0.00258728
0.44 -0.000471956 0.000306962 -0.00259321
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0.442 -0.00047416 0.000308415 -0.00260509
0.443 -0.000475263 0.000309141 -0.00261103
0.444 -0.000476365 0.000309868 -0.00261697
0.445 -0.000477467 0.000310594 -0.00262291
0.446 -0.00047857 0.00031132 -0.00262885
0.447 -0.000479672 0.000312047 -0.00263479
0.448 -0.000480774 0.000312773 -0.00264072
0.449 -0.000481877 0.0003135 -0.00264666
0.45 -0.000482979 0.000314226 -0.0026526
0.451 -0.000484081 0.000314952 -0.00265854
0.452 -0.000485184 0.000315679 -0.00266448
0.453 -0.000486286 0.000316405 -0.00267042
0.454 -0.000487388 0.000317132 -0.00267636
0.455 -0.000488491 0.000317858 -0.0026823
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0.458 -0.000491798 0.000320037 -0.00270011
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0.46 -0.000494002 0.00032149 -0.00271199
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0.462 -0.000496207 0.000322943 -0.00272387
0.463 -0.00049731 0.000323669 -0.00272981
0.464 -0.000498412 0.000324396 -0.00273575
0.465 -0.000499514 0.000325122 -0.00274168
0.466 -0.000500617 0.000325849 -0.00274762
0.467 -0.000501719 0.000326575 -0.00275356
0.468 -0.000502821 0.000327301 -0.0027595
0.469 -0.000503924 0.000328028 -0.00276544
0.47 -0.000505026 0.000328754 -0.00277138
0.471 -0.000506128 0.000329481 -0.00277732
0.472 -0.000507231 0.000330207 -0.00278326
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0.475 -0.000510538 0.000332386 -0.00280107
0.476 -0.00051164 0.000333113 -0.00280701
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0.478 -0.000513845 0.000334565 -0.00281889
0.479 -0.000514947 0.000335292 -0.00282483
0.48 -0.000516049 0.000336018 -0.00283077
0.481 -0.000517152 0.000336745 -0.0028367
0.482 -0.000518254 0.000337471 -0.00284264
0.483 -0.000519356 0.000338197 -0.00284858
0.484 -0.000520459 0.000338924 -0.00285452
0.485 -0.000521561 0.00033965 -0.00286046
0.486 -0.000522663 0.000340377 -0.0028664
0.487 -0.000523766 0.000341103 -0.00287234
0.488 -0.000524868 0.00034183 -0.00287828
0.489 -0.00052597 0.000342556 -0.00288422
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0.492 -0.000529277 0.000344735 -0.00290203
0.493 -0.00053038 0.000345462 -0.00290797
0.494 -0.000531482 0.000346188 -0.00291391
0.495 -0.000532584 0.000346914 -0.00291985
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0.498 -0.000535891 0.000349094 -0.00293766
0.499 -0.000536994 0.00034982 -0.0029436
0.5 -0.000538096 0.000350546 -0.00294954
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0.502 -0.000540301 0.000351999 -0.00296142
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0.559 -0.000603134 0.000393404 -0.00329993
0.56 -0.000604236 0.000394131 -0.00330587
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0.562 -0.000606441 0.000395584 -0.00331775
0.563 -0.000607543 0.00039631 -0.00332369
0.564 -0.000608646 0.000397036 -0.00332963
0.565 -0.000609748 0.000397763 -0.00333556
0.566 -0.00061085 0.000398489 -0.0033415
0.567 -0.000611953 0.000399216 -0.00334744
0.568 -0.000613055 0.000399942 -0.00335338
0.569 -0.000614157 0.000400669 -0.00335932
0.57 -0.00061526 0.000401395 -0.00336526
0.571 -0.000616362 0.000402121 -0.0033712
0.572 -0.000617464 0.000402848 -0.00337714
0.573 -0.000618567 0.000403574 -0.00338307
0.574 -0.000619669 0.000404301 -0.00338901
0.575 -0.000620771 0.000405027 -0.00339495
0.576 -0.000621874 0.000405753 -0.00340089
0.577 -0.000622976 0.00040648 -0.00340683
...

Answer 1

如果您想提取索引为1和2的列，您可以这样做。

B = [(ligne[1], ligne[2]) for ligne.split() in file]

提示:

不要将变量命名为B。这看起来像一个类名或一个常量。

编辑:

要访问“表 B 中第六个点的 x”，您必须使用

B[5][0]

B 是元组列表。