NumPy - loadtxt() function

The NumPy loadtxt() function is used to load data from a text file. Each row in the text file must have the same number of values.

Syntax

numpy.loadtxt(fname, dtype=<class 'float'>)

Parameters

Return Value

Returns the data read from the text file.

Example:

In the example below, array arr is saved into a text file called test.out. Further, the loadtxt() function is used to load the saved array from the file and print it.

import numpy as np

arr = np.array([10, 20, 30, 40, 50, 60])

#saving arr in text file - test.out
np.savetxt("test.out", arr)

#loading array from test.out
y = np.loadtxt("test.out")

#displaying the content of y
print(y)

The output of the above code will be:

[10. 20. 30. 40. 50. 60.]

Example:

The example below describes how to save multiple numpy arrays in a file and load the saved arrays from it. Please note that, each array must have same number of elements.

import numpy as np

x = y = z = np.arange(0.0,5.0,1.0)
np.savetxt("demo.txt", (x, y, z))

#loading array from demo.txt
NewArr = np.loadtxt("demo.txt")

#displaying the result
print(NewArr)

The output of the above code will be:

[[0. 1. 2. 3. 4.]
 [0. 1. 2. 3. 4.]
 [0. 1. 2. 3. 4.]]