`numpy:place`

source: /numpy/lib/_function_base_impl.py:2100

Signature

def place(arr, mask, vals)

Summary

Change elements of an array based on conditional and input values.

Extended Summary

Similar to np.copyto(arr, vals, where=mask), the difference is that place uses the first N elements of vals, where N is the number of True values in mask, while copyto uses the elements where mask is True.

Note that extract does the exact opposite of place.

Parameters

arr : ndarray: Array to put data into.
mask : array_like: Boolean mask array. Must have the same size as a.
vals : 1-D sequence: Values to put into a. Only the first N elements are used, where N is the number of True values in mask. If vals is smaller than N, it will be repeated, and if elements of a are to be masked, this sequence must be non-empty.

Examples

import numpy as np
arr = np.arange(6).reshape(2, 3)
np.place(arr, arr>2, [44, 55])
arr

✓

array([[ 0,  1,  2],
       [44, 55, 44]])

Aliases

numpy.place