- masked_array.all(axis=None, out=None, keepdims=<class numpy._globals._NoValue at 0x40b6a26c>)[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.
- corresponding function for ndarrays
- equivalent function
>>> np.ma.array([1,2,3]).all() True >>> a = np.ma.array([1,2,3], mask=True) >>> (a.all() is np.ma.masked) True