numpy.ma.masked_array.mean

method

masked_array.mean(self, axis=None, dtype=None, out=None, keepdims=<no value>)

Returns the average of the array elements along given axis.

Masked entries are ignored, and result elements which are not finite will be masked.

Refer to numpy.mean for full documentation.

See also

numpy.ndarray.mean

corresponding function for ndarrays

numpy.mean

Equivalent function

numpy.ma.average

Weighted average.

Examples

>>> a = np.ma.array([1,2,3], mask=[False, False, True])
>>> a
masked_array(data=[1, 2, --],
             mask=[False, False,  True],
       fill_value=999999)
>>> a.mean()
1.5