Скачать или смотреть Resolving the ModuleNotFoundError when using numpy in Jupyter Notebook

Learn how to fix the `ModuleNotFoundError` in Jupyter Notebook when `numpy` appears to be installed but can't be imported.
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This video is based on the question https://stackoverflow.com/q/67048803/ asked by the user 'Greenhill' ( https://stackoverflow.com/u/8001192/ ) and on the answer https://stackoverflow.com/a/67048990/ provided by the user 'Brian Larsen' ( https://stackoverflow.com/u/10293068/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Troubleshooting Jupyter Notebook: Fixing ModuleNotFoundError for numpy

Using Jupyter Notebook is a powerful way to work with Python, especially in data analysis and scientific computing. However, running into problems can be frustrating, especially when you can't import a package that appears to be installed. One common error users encounter is the ModuleNotFoundError for numpy, even after it shows as installed. Let's explore how to troubleshoot and resolve this issue effectively.

Understanding the Problem

The Error Scenario

Imagine you have set up a Python virtual environment and want to use the numpy library in a Jupyter Notebook. You execute the installation command and receive a message indicating that numpy is already installed. However, when you try to import it in your notebook, you encounter:

[[See Video to Reveal this Text or Code Snippet]]

This can leave you puzzled. Why is the package installed but still undetectable by Jupyter?

Common Cause

This problem generally arises when Jupyter Notebook is not accessing the same Python environment where numpy is installed. Essentially, you might be using a different pip installation than the one that Jupyter is linked to.

The Solution: Aligning the Python Environment

Here’s how you can resolve this issue:

Step 1: Verify the Python Executable

First, you need to check which Python executable Jupyter is running. In a new notebook cell, execute the following code:

[[See Video to Reveal this Text or Code Snippet]]

This will display the path to the Python executable that your Jupyter notebook is currently using.

Step 2: Install numpy Using the Correct Python Executable

Now, you will ensure that you install packages using the same Python executable. In another notebook cell, run:

[[See Video to Reveal this Text or Code Snippet]]

Why This Works

Using !{sys.executable} -m pip ensures that you are invoking pip through the Python interpreter that Jupyter is currently utilizing, thereby eliminating any discrepancies between environments.

Final Thoughts

After following these steps, you should now be able to import numpy without encountering the ModuleNotFoundError. Here’s a quick recap of the steps:

Check the Python executable using import sys.

Install numpy using the command !{sys.executable} -m pip install numpy.

This approach should help you clear up the package import issues you faced in Jupyter Notebook. Remember, keeping your environments in sync is crucial to avoid such complications in the future. Happy coding!