bundles / numpy 2.4.3 / numpy / ma / extras / intersect1d

function

`numpy.ma.extras:intersect1d`

source: /numpy/ma/extras.py:1317

Signature

def intersect1d(ar1, ar2, assume_unique = False)

Summary

Returns the unique elements common to both arrays.

Extended Summary

Masked values are considered equal one to the other. The output is always a masked array.

See numpy.intersect1d for more details.

Examples

import numpy as np
x = np.ma.array([1, 3, 3, 3], mask=[0, 0, 0, 1])
y = np.ma.array([3, 1, 1, 1], mask=[0, 0, 0, 1])
np.ma.intersect1d(x, y)

✓

masked_array(data=[1, 3, --],
             mask=[False, False,  True],
       fill_value=999999)

See also

numpy.intersect1d: Equivalent function for ndarrays.

Aliases

numpy.ma.intersect1d