numpy.ma.mean()

numpy.ma.mean

numpy.ma.mean(self, axis=None, dtype=None, out=None, keepdims=<class numpy._globals._NoValue at 0x40b6a26c>) = <numpy.ma.core._frommethod instance at 0x52d139ac>

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