ndarray.__ne__ x.__ne__(y) <==> x!=y

matrix.size Number of elements in the array. Equivalent to np.prod(a.shape), i.e., the product of the

ndarray.ravel([order]) Return a flattened array. Refer to

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

ndarray.size Number of elements in the array. Equivalent to np.prod(a.shape), i.e., the product of

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

recarray.data Python buffer object pointing to the start of the array?s data.

matrix.argsort(axis=-1, kind='quicksort', order=None) Returns the indices that would sort this array. Refer to

ndarray.__contains__ x.__contains__(y) <==> y in x

ndarray.itemset(*args) Insert scalar into an array (scalar is cast to array?s dtype, if possible) There must be