all(self, axis=None, out=None, keepdims=<no value>)
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 :None:None:`masked`.
Refer to numpy.all
for full documentation.
Returns True if all elements evaluate to True.
numpy.all
equivalent function
numpy.ndarray.all
corresponding function for ndarrays
>>> np.ma.array([1,2,3]).all() TrueThis example is valid syntax, but we were not able to check execution
>>> a = np.ma.array([1,2,3], mask=True)See :
... (a.all() is np.ma.masked) True
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