numpy.ma.masked_array.mean¶

masked_array.mean(axis=None, dtype=None, out=None, keepdims=<class 'numpy._globals._NoValue'>)[source]¶

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