numpy.ma.masked_array.filled — NumPy v1.13 Manual (original) (raw)
masked_array. 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 fill_value attribute of the array is used instead. |
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| 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), orself itself as an ndarray if there are no invalid entries to be replaced. |
Notes
The result is not a MaskedArray!
Examples
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]])