dask.array.ma.filled

dask.array.ma.filled¶

dask.array.ma.filled(a, fill_value=None)[source]¶

Return input as an ~numpy.ndarray, with masked values replaced by fill_value.

This docstring was copied from numpy.ma.filled.

Some inconsistencies with the Dask version may exist.

If a is not a MaskedArray, a itself is returned. If a is a MaskedArray with no masked values, then a.data is returned. If a is a MaskedArray and fill_value is None, fill_value is set to a.fill_value.

Parameters

aMaskedArray or array_like: An input object.
fill_valuearray_like, optional.: Can be scalar or non-scalar. If non-scalar, the resulting filled array should be broadcastable over input array. Default is None.

Returns

andarray: The filled array.

See also

compressed

Examples

>>> import numpy as np  
>>> import numpy.ma as ma  
>>> x = ma.array(np.arange(9).reshape(3, 3), mask=[[1, 0, 0],  
...                                                [1, 0, 0],
...                                                [0, 0, 0]])
>>> x.filled()  
array([[999999,      1,      2],
       [999999,      4,      5],
       [     6,      7,      8]])
>>> x.filled(fill_value=333)  
array([[333,   1,   2],
       [333,   4,   5],
       [  6,   7,   8]])
>>> x.filled(fill_value=np.arange(3))  
array([[0, 1, 2],
       [0, 4, 5],
       [6, 7, 8]])

dask.array.ma.empty_like

dask.array.ma.fix_invalid