Friday 29 April 2016

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



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)


Answer



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.


No comments:

Post a Comment

c++ - Does curly brackets matter for empty constructor?

Those brackets declare an empty, inline constructor. In that case, with them, the constructor does exist, it merely does nothing more than t...