numpy.ma.mean

numpy.ma.mean(self, axis=None, dtype=None, out=None, keepdims=<class numpy._globals._NoValue at 0x7f7ae1c4a808>) = <numpy.ma.core._frommethod instance>

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

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