Modulenotfounderror: No Module Named NumPy

Modulenotfounderror: No Module Named NumPy

  1. Reproduce the No module named 'numpy'
  2. Possible Reasons & Solutions for No module named 'numpy'

This tutorial talks about the ModuleNotFoundError: No module named 'numpy', lists the possible reasons and serves a solution.

Reproduce the No module named 'numpy'

Python supports thousands of modules, all available on the internet. These modules need to be installed in the system first.

The easiest method to achieve this task is the pip command. One such module is the NumPy module, which enables the use of several functions that aid in implementing numerical operations in Python.

If the user attempts to use a function from the NumPy module in their Python code without installing the module first, they will meet a modulenotfound error.

Let us take an example code and assume that the NumPy module is not already pre-installed.

import numpy

The above code provides the following output.

Traceback (most recent call last):
 File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'numpy'

Possible Reasons & Solutions for No module named 'numpy'

Following are two possible reasons that are listed below:

  • You may not have installed the NumPy package.
  • You may be working in a different virtual environment. Remember, IDEs like PyCharm, Anaconda, etc., install their virtual environment for Python to keep things clean, organized, and separated from the global Python.

We can resolve this error in two ways that are given below:

Solution 1: Install NumPy Package

When we have an error like this, the next step is properly installing the NumPy module while removing any previously installed version (if any).

We can easily install the NumPy library with the help of the pip command. The following code aims to provide a clearer understanding of how to install the NumPy library.

pip install numpy

When the installation process for NumPy is done, it is ready to be imported and utilized in the Python code.

Solution 2: Ensure You’re in the Correct Virtual Environment (If Using)

As described before, IDEs like PyCharm, Anaconda, etc., install their virtual environment for Python to keep things clean, organized and separated from the global Python.

So make sure that you are using the correct virtual environment. Still getting an error, you have to install the NumPy package based on what IDE you are using.

For instance, for Anaconda, we can use the following command on Anaconda Prompt to install the NumPy package:

conda install numpy

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