numpy.ma.mean

ma.mean(self, 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

Try it in your browser!

>>> 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

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