Why Won’t Numpy Show Up In Python 3.6

Python Programming

Have you ever encountered the frustrating issue of numpy not showing up in Python 3.6? As a Python enthusiast, I can certainly relate to the annoyance of trying to import a package and encountering unexpected roadblocks. In this article, I will delve into the possible reasons why numpy might not be appearing in your Python 3.6 environment and provide some practical solutions to get it up and running.

1. Compatibility Issues

One possible reason why numpy is not showing up in Python 3.6 is due to compatibility issues. Numpy is a widely used numerical computing library that relies heavily on C and Fortran code. Therefore, it is crucial to ensure that you have the correct version of numpy that is compatible with your Python 3.6 installation.

If you are using a pre-packaged Python distribution such as Anaconda or Miniconda, it is recommended to install numpy using the package manager provided by the distribution. This will ensure that the installed version of numpy is compatible with the Python version you are using.

2. Installation Problems

Another reason why numpy might not be showing up in Python 3.6 could be related to installation problems. It is possible that the numpy package was not installed properly or is missing from your Python environment.

To verify if numpy is installed, you can open a Python interpreter and try importing the numpy module:

import numpy

If you encounter an error message stating that the module is not found, it means that numpy is not installed. In such cases, you can install numpy by using the following command:

pip install numpy

Once the installation is complete, you should be able to import numpy without any issues.

3. Virtual Environments

If you are working in a virtual environment, it is possible that numpy is not showing up in Python 3.6 because it was not installed in the virtual environment. Virtual environments allow you to create isolated Python environments with their own set of installed packages.

To ensure that numpy is installed in the virtual environment, activate the environment and then install numpy using the package manager or pip. For example:

source myenv/bin/activate
pip install numpy

Remember to replace “myenv” with the name of your virtual environment.


In conclusion, numpy not showing up in Python 3.6 can be attributed to compatibility issues, installation problems, or virtual environment settings. By ensuring you have the correct numpy version, installing it correctly, and verifying its presence in virtual environments, you can overcome this frustrating issue.

Next time you encounter numpy-related issues, don’t fret! With these troubleshooting steps, you’ll be back to utilizing the powerful functionalities of numpy in no time.