numpy.ma.MaskedArray.mean¶
- MaskedArray.mean(axis=None, dtype=None, out=None, keepdims=<class numpy._globals._NoValue at 0x40b6a26c>)[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