I have tried this script but it does not work. It give me this error: 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 The script is: 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() The data is: 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 Continue reading...
