numpy.ma.flatnotmasked_edges

ma.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.

Parameters:

aarray_like

Input 1-D MaskedArray

Returns:

edgesndarray or None

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

See also

flatnotmasked_contiguous, notmasked_contiguous, notmasked_edges

clump_masked, clump_unmasked

Notes

Only accepts 1-D arrays.

Examples

>>> import numpy as np
>>> a = np.ma.arange(10)
>>> np.ma.flatnotmasked_edges(a)
array([0, 9])

>>> mask = (a < 3) | (a > 8) | (a == 5)
>>> a[mask] = np.ma.masked
>>> np.array(a[~a.mask])
array([3, 4, 6, 7, 8])

>>> np.ma.flatnotmasked_edges(a)
array([3, 8])

>>> a[:] = np.ma.masked
>>> print(np.ma.flatnotmasked_edges(a))
None