numpy.ma.flatnotmasked_edges

numpy.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:

arr : array_like

Input 1-D MaskedArray

Returns:

edges : ndarray 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

Notes

Only accepts 1-D arrays.

Examples

>>> a = np.arange(10)
>>> mask = (a < 3) | (a > 8) | (a == 5)

>>> ma = np.ma.array(a, mask=m)
>>> np.array(ma[~ma.mask])
array([3, 4, 6, 7, 8])

>>> flatnotmasked_edges(ma)
array([3, 8])

>>> ma = np.ma.array(a, mask=np.ones_like(a))
>>> print flatnotmasked_edges(ma)
None