`numpy.ma.core:fix_invalid`

Signature

def fix_invalid ( a , mask = False , copy = True , fill_value = None )

Return input with invalid data masked and replaced by a fill value.

Invalid data means values of nan, inf, etc.

a : array_like: Input array, a (subclass of) ndarray.
mask : sequence, optional: Mask. Must be convertible to an array of booleans with the same shape as data. True indicates a masked (i.e. invalid) data.
copy : bool, optional: Whether to use a copy of a (True) or to fix a in place (False). Default is True.
fill_value : scalar, optional: Value used for fixing invalid data. Default is None, in which case the a.fill_value is used.

A copy is performed by default.

import numpy as np
x = np.ma.array([1., -1, np.nan, np.inf], mask=[1] + [0]*3)
x
np.ma.fix_invalid(x)

fixed = np.ma.fix_invalid(x)
fixed.data
x.data