Custom data types in numpy arrays

Question

I\'m creating a numpy array which is to be filled with objects of a particular class I\'ve made. I\'d like to initialize the array such that it will only ever contain object

Answer 1

As far as I know, enforcing a single type for elements in a numpy.ndarray has to be done manually (unless the array contains Numpy scalars): there is no built-in checking mechanism (your array has dtype=object). If you really want to enforce a single type, you have to subclass ndarray and implement the checks in the appropriate methods (__setitem__, etc.).

If you want to implement operations on a set of functions (Kernel objects), you might be able to do so by defining the proper operations directly in your Kernel class. This is what I did for my uncertainties.py module, which handles numpy.ndarrays of numbers with uncertainties.