ndarray.all(axis=None, out=None, keepdims=False) Returns True if all elements evaluate to True. Refer to
ndarray.__str__() <==> str(x)
ndarray.argmin(axis=None, out=None) Return indices of the minimum values along the given axis of a. Refer
ndarray.repeat(repeats, axis=None) Repeat elements of an array. Refer to
ndarray.__lt__ x.__lt__(y) <==> x<y
ndarray.__len__() <==> len(x)
ndarray.choose(choices, out=None, mode='raise') Use an index array to construct a new array from a set of choices. Refer
ndarray.__nonzero__ x.__nonzero__() <==> x != 0
ndarray.argpartition(kth, axis=-1, kind='introselect', order=None) Returns the indices that would partition this array
ndarray.__setstate__(version, shape, dtype, isfortran, rawdata) For unpickling.
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