numpy.clip(): Limit NumPy Array in [min, max] – NumPy Tutorial

By | August 2, 2022

numpy.clip() function can limit a numpy array in [min, max]. In this tutorial, we will use some examples to show you how to use it.

numpy.clip()

It is defined as:

ndarray.clip(min=None, max=None, out=None, **kwargs)

Here is a simple example.

import numpy as np

x = np.random.random([3, 4])
print(x)

min = 0.2
max = 0.6

y = np.clip(x, min, max)
print(y)

As to x, it is:

[[0.85560928 0.37702509 0.44289704 0.98446548]
 [0.1586248  0.3948192  0.78732616 0.9485501 ]
 [0.79909917 0.36843706 0.71295046 0.15466975]]

After we have used np.clip(x, 0.2, 0.6), y will be:

[[0.6        0.37702509 0.44289704 0.6       ]
 [0.2        0.3948192  0.6        0.6       ]
 [0.6        0.36843706 0.6        0.2       ]]

numpy.clip() and array.clip(min, max)

We should notice: numpy.clip = array.clip()

For example:

min = 0.2
max = 0.6

y = np.clip(x, min, max)
print(y)
z = x.clip(min, max)
print(z)

Run this code, we will find y and z are:

[[0.2        0.6        0.6        0.2       ]
 [0.6        0.56058524 0.6        0.3832909 ]
 [0.31922628 0.36651994 0.40016733 0.23430817]]
[[0.2        0.6        0.6        0.2       ]
 [0.6        0.56058524 0.6        0.3832909 ]
 [0.31922628 0.36651994 0.40016733 0.23430817]]

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