One common error you may encounter when using NumPy in Python is:

TypeError: 'numpy.ndarray' object is not callable

This error usually occurs when you attempt to call a NumPy array as a function by using round **()** brackets instead of square **[ ]** brackets.

The following example shows how to use this syntax in practice.

**How to Reproduce the Error**

Suppose we have the following NumPy array:

import numpy as np #create NumPy array x = np.array([2, 4, 4, 5, 9, 12, 14, 17, 18, 20, 22, 25])

Now suppose we attempt to access the first element in the array:

#attempt to access the first element in the array x(0) TypeError: 'numpy.ndarray' object is not callable

Since we used round **()** brackets Python thinks we’re attempting to call the NumPy array **x** as a function.

Since x is not a function, we receive an error.

**How to Fix the Error**

The way to resolve this error is to simply use square **[ ]** brackets when accessing elements of the NumPy array instead of round **()** brackets:

#access the first element in the array x[0] 2

The first element in the array (2) is shown and we don’t receive any error because we used square **[ ]** brackets.

Also note that we can access multiple elements of the array at once as long as we use square **[ ]** brackets:

#find sum of first three elements in array x[0] + x[1] + x[2] 10

**Additional Resources**

The following tutorials explain how to fix other common errors in Python:

How to Fix: ValueError: Index contains duplicate entries, cannot reshape

How to Fix: Typeerror: expected string or bytes-like object

How to Fix: TypeError: ‘numpy.float64’ object is not callable