ndarray.__getitem__ x.__getitem__(y) <==> x[y]

MaskedArray.__divmod__(y) <==> divmod(x, y)

recarray.prod(axis=None, dtype=None, out=None, keepdims=False) Return the product of the array elements over the given axis

recarray.argpartition(kth, axis=-1, kind='introselect', order=None) Returns the indices that would partition this

ndarray.getfield(dtype, offset=0) Returns a field of the given array as a certain type. A field is a view of the

matrix.min(axis=None, out=None)

ndarray.strides Tuple of bytes to step in each dimension when traversing an array. The byte offset of element

MaskedArray.__pow__(other)

ndarray.base Base object if memory is from some other object. Examples The base of an array

ndarray.min(axis=None, out=None, keepdims=False) Return the minimum along a given axis. Refer to