The error modulenotfounderror: no module named ‘ipympl’ is an error in Python that programmers or developers run into when they’re running a Jupyter Notebook. This error occurs when the module is not found on their system or Python environment.
In this article, we will show you how to solve the error
modulenotfounderror: no module named 'ipympl' with a simple solution. But before that, gain a brief understanding of Python.
What is Python?
Python is one of the most popular programming languages. It is used for developing a wide range of applications. It is a high-level programming language that is usually used by developers nowadays due to its flexibility.
Returning to our issue, we must take a few actions to fix this error. So, without further ado, let’s move on to our “how to fix this error” tutorial.
How to solve “no module named ‘ipympl’” in Python
Resolving the error
modulenotfounderror: no module named 'ipympl' is an easy task. All you have to do is:
Install the ipympl module
To install this package, input the following command.
!pip install ipympl
After you run the command above it will download and install the ‘ipympl’ module on your system.
Commands you might need
This command will display all the packages installed on your system, including their versions.
If you’re using Jupyter Notebook, use the
!pip listcommand instead of
pip list. However, if you’re using Anaconda, use the command
Use this command if you want to check what version of Python you have.
pip install --upgrade pip
Use this command to upgrade the pip package manager to its newest version. If your pip is already in the latest version, this will come out: “Requirement already satisfied.”
In conclusion, the error modulenotfounderror: no module named ‘ipympl’ can be easily solved by installing the ipympl module in your system or Python environment.
By following the guide above, there’s no doubt that you’ll be able to resolve this error quickly.
We hope you’ve learned a lot from this. If you have any questions or suggestions, please leave a comment below, and for more Python tutorials, visit our website.
Thank you for reading!