How to plot from .dat file with multiple columns and rows separated with tab spaces

Question

I have 12 columns in my .dat file. How can I plot the first column with 12th column and there are around 50 rows. Each value is separated by a tab space. I have tried this error as the wrong number of columns at line42 is coming.

 import numpy as np  
 from matplotlib import pyplot as plt  

 data=np.loadtxt('filep.dat')  
 pl.plot(data[:,1],data[:,2],'bo')  

 X=data[:,1]  
 Y=data[:,2]  

 plt.plot(X,Y,':ro')  
 plt.show()

ImportanceOfBeingErnest · Accepted Answer · 2017-04-19 06:24:37Z

3

The code in the question is correct! If it doesn't work, it's because your data is not organized the way you think it is or because you have missing values somewhere in your data.

You may try to use numpy.genfromtxt(...) which has more options for bad data filtering than np.loadtxt.

answered Apr 19, 2017 at 6:24

ImportanceOfBeingErnest

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