Numerical Computing with Python

The Numpy way

It is simple when we have a file with only two columns, and only one column to read, but it can get more tedious when we have an extended table containing thousands of columns and rows and we want to convert them into a Numpy matrix later.

Numpy provides a standard one-liner solution:

import numpy as npnp.loadtxt(‘evens.txt’,delimiter=’\t’,usecols=1,dtype=np.int32)

The first parameter is the path of the data file. The delimiter parameter specifies the string used to separate values, which is a tab here. Because numpy.loadtxt() by default separate values separated by any whitespace into columns by default, this argument can be omitted here. We have set it for demonstration.

For usecols and dtype that specify which columns to ...