ndarray.__ixor__ x.__ixor__(y) <==> x^=y
ndarray.view(dtype=None, type=None) New view of array with the same data.
ndarray.transpose(*axes) Returns a view of the array with axes transposed. For a 1-D array, this has no effect
ndarray.tobytes(order='C') Construct Python bytes containing the raw data bytes in the array. Constructs Python
ndarray.__ipow__ x.__ipow__(y) <==> x**=y
ndarray.mean(axis=None, dtype=None, out=None, keepdims=False) Returns the average of the array elements along given axis.
ndarray.__irshift__ x.__irshift__(y) <==> x>>=y
ndarray.__pow__(y[, z]) <==> pow(x, y[, z])
ndarray.put(indices, values, mode='raise') Set a.flat[n] = values[n] for all n in indices. Refer
ndarray.setflags(write=None, align=None, uic=None) Set array flags WRITEABLE, ALIGNED, and UPDATEIFCOPY, respectively
Page 10 of 13