Conversion error in numpy.loadtxt()

Question

I am trying to plot two columns from a text file using python matplotlib but I am getting

ValueError: invalid literal for float(): 148.000000;

This is my python script

import numpy as np import matplotlib.pyplot as plt x,y = np.loadtxt('sharma5.txt') fig = plt.figure() ax = fig.add_subplot(111) ax.plot(x,y) plt.show()

and here is a part of my text file

36.000000 61.000000 36.000000 61.000000 36.000000 148.000000; 36.000000 60.000000 36.000000 120.000000 36.000000 77.000000 36.000000 160.000000

Thanks in advance..

Please remember to format your code using Ctrl-K!

ptomato
– ptomato

2012-04-03 08:21:12 +00:00
Commented Apr 3, 2012 at 8:21 — ptomato
– ptomato, Commented Apr 3, 2012 at 8:21

deprecated · Accepted Answer · 2012-04-07 01:20:08Z

In case you don't want to fix your data file, you can use the converters option to loadtxt in order to remove any extraneous semicolons. Something like np.loadtxt("sharma5.txt", converters = {1: lambda s: float(s.strip(";"))}) should work.

ptomato · Accepted Answer · 2012-04-03 08:20:48Z

The problem is the semicolon in your text file, which is not recognized as a legal character for converting to a number. Fix the bug in the program that generated that text file.

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