txtを読み込むためには

python

import numpy as np 

loadedData=np.loadtxt("", dtype=str)
print(loadedData)

実行結果

['1.000000000000000000e+00' '1.000000000000000000e+00'
 '1.000000000000000000e+00']

txtの中身


0 -48.91709802155313 0.0 702.3102304114275, 1 -151.8603481651104 -29.690341677905852 707.2374001398457, 2 -256.99179054979817 -74.86012850474413 342.32650474996495, 3 -310.00220500608816 50.0718155705697 0.7446072300728019, 6 55.57121754948124 29.69010492555889 697.3038143741276, 7 139.52302353349637 -75.16589461108828 342.47145500665346, 8 216.45170247416502 -36.979698209121864 3.770875896766256, 12 -37.605154684504456 21.650870631432447 1006.9936881444687, 13 -31.708432616277314 20.05149548250806 1251.36701804566, 14 -0.7425961338565656 -45.64487051324028 1308.9013155477228, 15 0.8648940040677182 -36.83263671219946 1438.3624526376937, 17 144.07930382730262 65.62621434883192 1207.4923383723728, 18 224.91274979765834 128.60311066315944 957.0362194502951, 19 219.87407608501957 23.28380024259053 729.7298058674502, 25 -207.3517550424812 -7.2902984980439385 1197.6982719629577, 26 -282.2884976756367 -22.574262162414023 945.6554976708798, 27 -306.8818678064465 -122.27805763073411 705.7857132037989,

中身を[]で文字列として読み込みたいのですがまったく違う結果が出力されてしまい，どのようにしたらよろしいのでしょうか?
どなたかよろしくお願い致します．
参考内容

行動規範の内容に同意します

回答1件

ベストアンサー

意図とは異なるかも知れませんがPandasで読み込んではどうでしょうか？

python
1import pandas as pd
2
3df = pd.read_csv('/Users/xxxxxx/student1.txt')
4print(df)

Empty DataFrame
Columns: [0 -48.91709802155313 0.0 702.3102304114275,  1 -151.8603481651104 -29.690341677905852 707.2374001398457,  2 -256.99179054979817 -74.86012850474413 342.32650474996495,  3 -310.00220500608816 50.0718155705697 0.7446072300728019,  6 55.57121754948124 29.69010492555889 697.3038143741276,  7 139.52302353349637 -75.16589461108828 342.47145500665346,  8 216.45170247416502 -36.979698209121864 3.770875896766256,  12 -37.605154684504456 21.650870631432447 1006.9936881444687,  13 -31.708432616277314 20.05149548250806 1251.36701804566,  14 -0.7425961338565656 -45.64487051324028 1308.9013155477228,  15 0.8648940040677182 -36.83263671219946 1438.3624526376937,  17 144.07930382730262 65.62621434883192 1207.4923383723728,  18 224.91274979765834 128.60311066315944 957.0362194502951,  19 219.87407608501957 23.28380024259053 729.7298058674502,  25 -207.3517550424812 -7.2902984980439385 1197.6982719629577,  26 -282.2884976756367 -22.574262162414023 945.6554976708798,  27 -306.8818678064465 -122.27805763073411 705.7857132037989,  ]
Index: []

投稿2019/12/23 15:44