numpy.ma.mean()
numpy.ma.mean
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numpy.ma.mean(self, axis=None, dtype=None, out=None, keepdims=<class numpy._globals._NoValue at 0x40b9ccec>) = <numpy.ma.core._frommethod instance>
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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
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ndarray.mean
- corresponding function for ndarrays
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numpy.mean
- Equivalent function
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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
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Licensed under the NumPy License.
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ma.mean.html