How to check if I have a numpy array for any library nickname?-CodePudding

I'm writing a type checker for a function which needs to check if an argument is of type <class 'numpy.ndarray'>. However, if v is a NumPy array, checking if type(v) == np.array eventually depends on how one globally imports numpy.

For example if import numpy is solely used, then the type checker can't run as type(v) == np.array returns an undefined np error. Is there any way to get around how one might import numpy yet still check if something is of a numpy type?

CodePudding user response：

Convert the output of type to string and check if it's "<class 'numpy.ndarray'>"

This works:

import numpy

v = numpy.array([1.])

print(str(type(v)) == "<class 'numpy.ndarray'>")

And this too:

import numpy as np

v = np.array([1.])

print(str(type(v)) == "<class 'numpy.ndarray'>")