bundles / numpy 2.5.0.dev0+git20251130.2de293a / numpy / ma / extras / in1d

function

`numpy.ma.extras:in1d`

source: build-install/usr/lib/python3.14/site-packages/numpy/ma/extras.py:1387

Signature

def in1d(ar1, ar2, assume_unique = False, invert = False)

Summary

Test whether each element of an array is also present in a second array.

Extended Summary

The output is always a masked array.

We recommend using isin instead of in1d for new code.

Examples

import numpy as np
ar1 = np.ma.array([0, 1, 2, 5, 0])
ar2 = [0, 2]
np.ma.in1d(ar1, ar2)

✓

masked_array(data=[ True, False,  True, False,  True],
             mask=False,
       fill_value=True)

See also

isin: Version of this function that preserves the shape of ar1.

Aliases

numpy.ma.in1d