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

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

ndarray.nonzero() Return the indices of the elements that are non-zero. Refer to

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

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

ndarray.nbytes Total bytes consumed by the elements of the array. Notes Does not include

ndarray.shape Tuple of array dimensions. Notes May be used to ?reshape? the array, as long

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

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

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