MaskedArray.filled(fill_value=None)
[source]
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.
Parameters: |
fill_value : scalar, optional The value to use for invalid entries (None by default). If None, the |
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Returns: |
filled_array : ndarray A copy of |
The result is not a MaskedArray!
>>> 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]) >>> type(x.filled()) <type 'numpy.ndarray'>
Subclassing is preserved. This means that if the data part of the masked array is a matrix, filled
returns a matrix:
>>> x = np.ma.array(np.matrix([[1, 2], [3, 4]]), mask=[[0, 1], [1, 0]]) >>> x.filled() matrix([[ 1, 999999], [999999, 4]])
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https://docs.scipy.org/doc/numpy-1.12.0/reference/generated/numpy.ma.MaskedArray.filled.html