filled(self, fill_value=None)

Notes

The result is not a MaskedArray!

Parameters

fill_value : array_like, optional

The value to use for invalid entries. Can be scalar or non-scalar. If non-scalar, the resulting ndarray must be broadcastable over input array. Default is None, in which case, the fill_value attribute of the array is used instead.

Returns

filled_array : ndarray

A copy of self with invalid entries replaced by fill_value (be it the function argument or the attribute of self ), or self itself as an ndarray if there are no invalid entries to be replaced.

Return a copy of self, with masked values filled with a given value. However, if there are no masked values to fill, self will be returned instead as an ndarray.

Examples

This example is valid syntax, but we were not able to check execution

>>> x = np.ma.array([1,2,3,4,5], mask=[0,0,1,0,1], fill_value=-999)
... x.filled()
array([   1,    2, -999,    4, -999])

This example is valid syntax, but we were not able to check execution

>>> x.filled(fill_value=1000)
array([   1,    2, 1000,    4, 1000])

This example is valid syntax, but we were not able to check execution

>>> type(x.filled())
<class 'numpy.ndarray'>

Subclassing is preserved. This means that if, e.g., the data part of the masked array is a recarray, filled returns a recarray:

This example is valid syntax, but we were not able to check execution

>>> x = np.array([(-1, 2), (-3, 4)], dtype='i8,i8').view(np.recarray)
... m = np.ma.array(x, mask=[(True, False), (False, True)])
... m.filled()
rec.array([(999999,      2), (    -3, 999999)],
          dtype=[('f0', '<i8'), ('f1', '<i8')])

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.ma.core.mvoid.filled

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GitHub : /numpy/ma/core.py#3733
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