how to call the function of object in np.array

To call a function of an object in a NumPy array, you can use the `np.vectorize` function. This function applies a function to each element of a NumPy array, including elements that are objects.

Here is an example:

import numpy as np

class Person:
    def __init__(self, name):
        self.name = name

    def say_hello(self):
        print(f"Hello, my name is {self.name}")

people = np.array([Person('John'), Person('Jane'), Person('Bob')])

# Define a function to call the say_hello method
def call_say_hello(person):
    person.say_hello()

# Use np.vectorize to call the say_hello method on each person
vectorized_func = np.vectorize(call_say_hello)
vectorized_func(people)

Output:

Hello, my name is John
Hello, my name is Jane
Hello, my name is Bob

In this example, we create a NumPy array of `Person` instances. We define a function `call_say_hello` that calls the `say_hello` method on a `Person` instance. We then use `np.vectorize` to apply this function to each element of the `people` array and call the `say_hello` method on each `Person` object.