“Got 1 columns instead of …” error in numpy

Question

I\'m working on the following code for performing Random Forest Classification on train and test sets;

from sklearn.ensemble import RandomForestClassifier
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Answer 1

It seems like the header that includes the column names have 1 more column than the data itself (1435 columns on header vs. 1434 on data).

You could either:

1) Eliminate 1 column from the header that doesn't make sense with data

OR

2) Use the skip header from genfromtxt() for example, np.genfromtxt('myfile', skip_header=*how many lines to skip*, delimiter=' ') more information found in the documentation.