ndarray.__setitem__ x.__setitem__(i, y) <==> x[i]=y

ndarray.__floordiv__ x.__floordiv__(y) <==> x//y

ndarray.var(axis=None, dtype=None, out=None, ddof=0, keepdims=False) Returns the variance of the array elements, along given

ndarray.__iadd__ x.__iadd__(y) <==> x+=y

ndarray.diagonal(offset=0, axis1=0, axis2=1) Return specified diagonals. In NumPy 1.9 the returned array is a read-only

ndarray.__float__() <==> float(x)

ndarray.std(axis=None, dtype=None, out=None, ddof=0, keepdims=False) Returns the standard deviation of the array elements along

ndarray.__setslice__ x.__setslice__(i, j, y) <==> x[i:j]=y Use of negative indices is not supported

ndarray.__rshift__ x.__rshift__(y) <==> x>>y

ndarray.cumprod(axis=None, dtype=None, out=None) Return the cumulative product of the elements along the given axis.