filled(a, fill_value=None)
This docstring was copied from numpy.ma.filled.
Some inconsistencies with the Dask version may exist.
If a is not a :None:None:`MaskedArray`, a itself is returned. If a is a :None:None:`MaskedArray` and :None:None:`fill_value` is None, :None:None:`fill_value` is set to a.fill_value
.
An input object.
Can be scalar or non-scalar. If non-scalar, the resulting filled array should be broadcastable over input array. Default is None.
The filled array.
Return input as an array with masked data replaced by a fill value.
>>> x = np.ma.array(np.arange(9).reshape(3, 3), mask=[[1, 0, 0], # doctest: +SKIPThis example is valid syntax, but we were not able to check execution
... [1, 0, 0],
... [0, 0, 0]])
... x.filled() # doctest: +SKIP array([[999999, 1, 2], [999999, 4, 5], [ 6, 7, 8]])
>>> x.filled(fill_value=333) # doctest: +SKIP array([[333, 1, 2], [333, 4, 5], [ 6, 7, 8]])This example is valid syntax, but we were not able to check execution
>>> x.filled(fill_value=np.arange(3)) # doctest: +SKIP array([[0, 1, 2], [0, 4, 5], [6, 7, 8]])See :
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