`numpy.ma.extras:flatnotmasked_edges`

Signature

def flatnotmasked_edges ( a )

Find the indices of the first and last unmasked values.

Expects a 1-D MaskedArray, returns None if all values are masked.

edges : ndarray or None: The indices of first and last non-masked value in the array. Returns None if all values are masked.

Only accepts 1-D arrays.

import numpy as np
a = np.ma.arange(10)
np.ma.flatnotmasked_edges(a)

✓

mask = (a < 3) | (a > 8) | (a == 5)
a[mask] = np.ma.masked
np.array(a[~a.mask])

✓

np.ma.flatnotmasked_edges(a)

✓

a[:] = np.ma.masked
print(np.ma.flatnotmasked_edges(a))

✓