SciPy

numpy.ma.masked_array.all

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

Returns True if all elements evaluate to True.

The output array is masked where all the values along the given axis are masked: if the output would have been a scalar and that all the values are masked, then the output is masked.

Refer to numpy.all for full documentation.

See also

ndarray.all
corresponding function for ndarrays
numpy.all
equivalent function

Examples

>>> np.ma.array([1,2,3]).all()
True
>>> a = np.ma.array([1,2,3], mask=True)
>>> (a.all() is np.ma.masked)
True