numpy.ma.masked_array.mean#

method

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

numpy.ndarray.mean: corresponding function for ndarrays
numpy.mean: Equivalent function
numpy.ma.average: Weighted average.

Examples

>>> import numpy as np
>>> 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