Funny behavior of operator overloading in Python numpy

Question

Say I have a python array and a numpy array

import numpy as np python_array = [range(20), range(20), range(20)] numpy_array = np.array(python_array)

You can do:

numpy_array + python_array

However, this gives the same result:

python_array + numpy_array

while __add__ of a python array is just concatenation. In fact, if you do:

python_array.\__add__(numpy_array)

it gives:

 can only concatenate list (not "numpy.ndarray") to list

Can someone explain this to me?

user2357112 · Accepted Answer · 2017-03-24 21:53:18Z

1

There's also an __radd__ method for b to implement a + b if a doesn't understand the operation. You're seeing numpy.ndarray.__radd__.

answered Mar 24, 2017 at 21:53

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1 Comment

This is what I suspect but I didn't know there is a __radd__. Thanks