What is modulenotfounderror: no module named ‘matplotlib’?
The “modulenotfounderror: no module named ‘matplotlib'” error occurs if you forget to install the matplotlib module before importing it.
And if you install the module in the wrong Python environment.
Why does this error occur?
Here are the following reasons why this error occurs:
- The ‘matplotlib’ module is not installed in the Python environment.
- You spelled the moduled incorrectly.
- Incorrect path of the module
- The module is installed in a different Python environment.
How to fix modulenotfounderror: no module named matplotlib in Python? Solutions
Here are the following steps you need to take to fix the error:
Step 1: Check the ‘matplotlib’ module installation
You need to check first if the module is installed.
To do this, execute the following command:
pip list
or
pip show matplotlib
If you are using Python 3, use the following command:
pip3 list
or
pip3 show matplotlib
Step 2: Install the ‘matplotlib’ module
You can use pip, which is a package manager for Python, to install the ‘matplotlib’ module.
You can do this by executing the following command in your command prompt.:
pip install matplotlib
You can use the following command if you don’t have pip in your PATH environment variable:
python -m pip install matplotlib
Use the following command if you are using py alias (Windows):
py -m pip install matplotlib
Use the following command if you are using Anaconda:
conda install -c conda-forge matplotlib
Use the following command if you are using Jupyter Notebook:
!pip install matplotlib
Step 3: Check the spelling and casing of the module name
Ensure that the name of the module is spelled correctly and the casing is correct.
For instance, ‘matplotlib’ should not be spelled as ‘Matplotlib’.
Step 4: Check the Python environment
If you have multiple Python installations, the ‘matplotlib’ module might be installed in a different one.
In this case, you can use the following command in a Jupyter notebook to install ‘matplotlib’ in the current kernel:
import sys
!{sys.executable} -m pip install matplotlib
This command above ensures that the ‘matplotlib’ module is installed in the Python executable that is running the Jupyter Notebook.
Please note that you have to restart your Python environment after installing the module to ensure that the changes take effect.
If the error persists after following these steps, it might be helpful to check the Python and ‘matplotlib’ versions to ensure compatibility.
To check the Python version, use the following command:
python --version
To check the ‘matplotlib’ module version, use the following command:
pip show matplotlib
or
pip3 show matplotlib
The output would be:
Name: matplotlib
Version: 3.7.1
Summary: Python plotting package
Home-page: https://matplotlib.org
Author: John D. Hunter, Michael Droettboom
Author-email: [email protected]
License: PSF
Location: c:\users\windows\appdata\local\programs\python\python310\lib\site-packages
Requires: contourpy, cycler, fonttools, kiwisolver, numpy, packaging, pillow, pyparsing, python-dateutil
Required-by: pycocotools, wordcloud
If necessary, you can update Python or ‘matplotlib’ to a compatible version.
To update ‘matplotlib’ module version, execute the following command:
pip install -U matplotlib
or
pip3 install -U matplotlib
or
python -m pip install -U matplotlib
Step 5: Reinstalling the module
If the above steps do not resolve the error, you can try to reinstall the module.
To uninstall ‘matplotlib’ module, here’s the command:
pip uninstall matplotlib
or
pip3 uninstall matplotlib
After that reinstall the ‘matplotlib’ module, here’s the command:
pip3 install matplotlib
Conclusion
The tutorial provides a step-by-step guide on how to resolve the ModuleNotFoundError: No module named ‘matplotlib’ error in Python.
This error typically occurs when the ‘matplotlib’ module is not installed, misspelled, or installed in a different Python environment.
By following the solutions above, you should be able to successfully import and use the ‘matplotlib’ module in your Python programs.
Remember to always check the module installation and Python environment before importing any module to avoid similar errors.