Suppose that I have n functions f1,...,fn where each function takes two numpy ndarrays X,Y of the same size and returns an ndarray Z of the same size. Is there a way to create the ndarray [f1(X,Y),...,fn(X,Y)] without using for loops or list comprehension?

One can do

import numpy as np

F = [f1,f2,...,fn] # list of n functions
X = np.zeros(M,N)
Y = np.zeros(X.shape)
Z = np.concatenate([f(X,Y) for f in F])

but then I used the loop [f(X,Y) for f in F]. I also though about creating the following function:

def F(i,X,Y):
    """
    Returns fi(X,Y)
    """
    return ...

and then use somthing like np.fromfunction() but I can’t figure out how.