`numpy.ma.extras:notmasked_edges`

source: build-install/usr/lib/python3.14/site-packages/numpy/ma/extras.py :1925

Signature

def notmasked_edges ( a , axis = None )

Summary

Find the indices of the first and last unmasked values along an axis.

Extended Summary

If all values are masked, return None. Otherwise, return a list of two tuples, corresponding to the indices of the first and last unmasked values respectively.

Parameters

a : array_like: The input array.
axis : int, optional: Axis along which to perform the operation. If None (default), applies to a flattened version of the array.

Returns

edges : ndarray or list: An array of start and end indexes if there are any masked data in the array. If there are no masked data in the array, edges is a list of the first and last index.

Examples

import numpy as np
a = np.arange(9).reshape((3, 3))
m = np.zeros_like(a)
m[1:, 1:] = 1

✓

am = np.ma.array(a, mask=m)
np.array(am[~am.mask])

✓

np.ma.notmasked_edges(am)

✓

Aliases

numpy.ma.notmasked_edges