How to Install Matplotlib on python?

Matplotlib is a Python library used for creating 2D plots and visualizations. It is built on top of NumPy and works well with the broader SciPy stack. This guide explains how to install Matplotlib on Windows using both Conda and PIP.

Installation Using Conda

If you're using Anaconda, you can install Matplotlib using the following command:

conda install matplotlib

Type 'y' when prompted to proceed with the installation.

You will get a similar message once the installation is complete. As seen below:

Best Practice

It’s recommended to install Matplotlib in a separate environment rather than in the base environment. Use these commands:

conda create -n my-env
conda activate my-env
conda install matplotlib

Optional: Use conda-forge (if preferred)

conda config --env --add channels conda-forge
conda install matplotlib

Installation Using PIP

pip install matplotlib command can be used to install it. Users who prefer to use pip can use the below command to install Matplotlib:

pip install matplotlib

This will download and install the latest version of Matplotlib from the Python Package Index (PyPI). You will get a similar message once the installation is complete:

Verifying Installation

To check if Matplotlib has been installed correctly, run the following in your Python environment:

import matplotlib
print(matplotlib.__version__)

If it prints the version number (e.g., 3.8.2), the installation was successful.

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