私はPythonの新機能です。私はこのスクリプトを試しましたが、うまくいきません。それは私に、このエラーを与える :このデータをどのようにpltできますか?そのファイル拡張子は.xvgです
Traceback (most recent call last):
File "temp.py", line 11, in <module>
y = [row.split(' ')[1] for row in data]
File "temp.py", line 11, in <listcomp>
y = [row.split(' ')[1] for row in data]
IndexError: list index out of range
スクリプトは次のとおりです。
import numpy as np
import matplotlib.pyplot as plt
with open("data.xvg") as f:
data = f.read()
data = data.split('\n')
x = [row.split(' ')[0] for row in data]
y = [row.split(' ')[1] for row in data]
fig = plt.figure()
ax1 = fig.add_subplot(111)
ax1.set_title("Plot title...")
ax1.set_xlabel('your x label..')
ax1.set_ylabel('your y label...')
ax1.plot(x,y, c='r', label='the data')
leg = ax1.legend()
plt.show()
データは次のとおりです。
0.000000 299.526978
1.000000 4.849206
2.000000 0.975336
3.000000 0.853160
4.000000 0.767092
5.000000 0.995595
6.000000 0.976332
7.000000 1.111898
8.000000 1.251045
9.000000 1.346720
10.000000 1.522089
11.000000 1.705517
12.000000 1.822599
13.000000 1.988752
14.000000 2.073061
15.000000 2.242703
16.000000 2.370366
17.000000 2.530256
18.000000 2.714863
19.000000 2.849218
20.000000 3.033373
21.000000 3.185251
22.000000 3.282328
23.000000 3.431681
24.000000 3.668798
25.000000 3.788214
26.000000 3.877117
27.000000 4.032224
28.000000 4.138007
29.000000 4.315784
30.000000 4.504521
31.000000 4.668567
32.000000 4.787213
33.000000 4.973860
34.000000 5.128736
35.000000 5.240545
36.000000 5.392560
37.000000 5.556009
38.000000 5.709351
39.000000 5.793169
40.000000 5.987224
41.000000 6.096015
42.000000 6.158622
43.000000 6.402116
44.000000 6.533816
45.000000 6.711002
46.000000 6.876793
47.000000 7.104519
48.000000 7.237456
49.000000 7.299352
50.000000 7.471975
51.000000 7.691428
52.000000 7.792002
53.000000 7.928269
54.000000 8.014977
55.000000 8.211984
56.000000 8.330894
57.000000 8.530197
58.000000 8.690166
59.000000 8.808934
60.000000 8.996209
61.000000 9.104818
62.000000 9.325309
63.000000 9.389288
64.000000 9.576900
65.000000 9.761865
66.000000 9.807437
67.000000 10.027261
68.000000 10.129250
69.000000 10.392891
70.000000 10.497618
71.000000 10.627769
72.000000 10.811770
73.000000 11.119184
74.000000 11.181286
75.000000 11.156842
76.000000 11.350290
77.000000 11.493779
78.000000 11.720265
79.000000 11.700112
80.000000 11.939404
81.000000 12.293530
82.000000 12.267791
83.000000 12.394929
84.000000 12.545286
85.000000 12.784669
86.000000 12.754122
87.000000 13.129798
88.000000 13.166340
89.000000 13.389514
90.000000 13.436648
91.000000 13.647285
92.000000 13.722875
93.000000 13.992217
94.000000 14.167837
95.000000 14.320843
96.000000 14.450310
97.000000 14.515556
98.000000 14.598526
99.000000 14.807360
100.000000 14.982592
101.000000 15.312892
102.000000 15.280009
https://docs.scipy.org/doc/numpy/reference/generated/numpy.genfromtxt.html –