`numpy:clip`

source: /numpy/_core/fromnumeric.py :2207

Signature

   def     clip (    a    ,    a_min    =  <no value>   ,    a_max    =  <no value>   ,    out    =  None   ,  * ,     min    =  <no value>   ,    max    =  <no value>   ,   ** kwargs      )

Summary

Clip (limit) the values in an array.

Extended Summary

Given an interval, values outside the interval are clipped to the interval edges. For example, if an interval of [0, 1] is specified, values smaller than 0 become 0, and values larger than 1 become 1.

Equivalent to but faster than np.minimum(a_max, np.maximum(a, a_min)).

No check is performed to ensure a_min < a_max.

Parameters

a : array_like: Array containing elements to clip.
a_min, a_max : array_like or None: Minimum and maximum value. If None, clipping is not performed on the corresponding edge. If both a_min and a_max are None, the elements of the returned array stay the same. Both are broadcasted against a.
out : ndarray, optional: The results will be placed in this array. It may be the input array for in-place clipping. out must be of the right shape to hold the output. Its type is preserved.
min, max : array_like or None: Array API compatible alternatives for a_min and a_max arguments. Either a_min and a_max or min and max can be passed at the same time. Default: None.
versionadded 2.1.0
**kwargs: For other keyword-only arguments, see the ufunc docs <ufuncs.kwargs>.

Returns

clipped_array : ndarray: An array with the elements of a, but where values < a_min are replaced with a_min, and those > a_max with a_max.

Notes

When a_min is greater than a_max, clip returns an array in which all values are equal to a_max, as shown in the second example.

Examples

import numpy as np
a = np.arange(10)
a
np.clip(a, 1, 8)
np.clip(a, 8, 1)
np.clip(a, 3, 6, out=a)
a
a = np.arange(10)
a
np.clip(a, [3, 4, 1, 1, 1, 4, 4, 4, 4, 4], 8)

✓

Aliases

numpy.clip