How to make python object callable by numpy.array()

Question

Some classes, such as Series in pandas produce instances that can be called by numpy.array and turned into numpy arrays.

How do I make instances of a class that I'm writing (which works with a few arrays at the core) be allowed to be passed as argument to numpy.array and converted to a numpy array?

(perhaps "callable" is not the right word)

interfect · Accepted Answer · 2018-07-09 22:20:30Z

2

It looks like one easy way is to make the object define an __array__(self) method that returns the array you want numpy.array to return.

You can also make your object a sequence: define __iter__(self) to return an iterator over all the items, __getitem__(self, i), to return the ith element, and and __len__(self) to return the length.

answered Jul 9, 2018 at 22:20

interfect

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1 Comment

Ziofil Over a year ago

Of course! I just checked the docs of numpy.array and they say that the first argument is "array_like: An array, any object exposing the array interface, an object whose __array__ method returns an array, or any (nested) sequence. "

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