One error you may encounter when using Python is:

TypeError: 'numpy.float64' object is not callable

This error may occur in two different scenarios:

**Scenario 1:**Multiplication Without Using * Sign**Scenario 2:**Failure to Use NumPy Min Function

The following examples shows how to fix this error in each scenario.

**Scenario 1: Multiplication Without Using * Sign**

Suppose we attempt to multiply two NumPy arrays without using a multiplication sign (*) as follows:

import numpy as np #define arrays x = np.array([1, 2, 3, 4, 5]) y = np.array([12, 14, 14, 19, 22]) #attempt to multiply two arrays together combo = (x)(y) #view result print(combo) TypeError: 'numpy.float64' object is not callable

We receive a **TypeError** because we didn’t use the multiplication sign (*) when attempting to multiply the two arrays.

The way to avoid this error is to make sure we used the multiplication sign:

import numpy as np #define arrays x = np.array([1, 2, 3, 4, 5]) y = np.array([12, 14, 14, 19, 22]) #multiply two arrays together combo = (x)*(y) #view result print(combo) [ 12 28 42 76 110]

Notice that we receive no error this time.

**Scenario 2: Failure to Use NumPy Min Function**

Suppose we use the following code to attempt to find the minimum value of a NumPy array:

import numpy as np #define array of data data = np.array([3.3, 4.1, 4, 5.6, 8.1, 9.9, 9.7, 10.2]) #attempt to find minimum value of array min_val = min(data) #view minimum value print(min_val) TypeError: 'numpy.float64' object is not callable

We receive a **TypeError** because we used the **min()** function.

Instead, we need to use **np.min()** as follows:

import numpy as np #define array of data data = np.array([3.3, 4.1, 4, 5.6, 8.1, 9.9, 9.7, 10.2]) #attempt to find minimum value of array min_val = np.min(data) #view minimum value print(min_val) 3.3

Notice that we receive no error this time.

**Additional Resources**

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

How to Fix: columns overlap but no suffix specified

How to Fix: ‘numpy.ndarray’ object has no attribute ‘append’

How to Fix: if using all scalar values, you must pass an index

How to Fix: ValueError: cannot convert float NaN to integer