Question

Can you create a datafile and import data into multiple NumPy arrays column wise? (Hint: use the unpack parameter)

Answer 1

Yes, we can create a data file and import its data into multiple NumPy arrays column-wise by using the unpack=True parameter of np.loadtxt().

Suppose the file data.txt contains:

10	20	30
40	50	60
70	80	90

The NumPy command is:

import numpy as np
a, b, c = np.loadtxt('data.txt', unpack=True)
print(a)
print(b)
print(c)

Output:

[10.	20.	30.]
[40.	50.	60.]
[70.	80.	90.]

Here, unpack=True transposes the data, so each column is stored in a separate NumPy array (a, b, and c).