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How to Install Matplotlib With Pip?

7 minutes read

To install matplotlib using pip, you can use the following command:


pip install matplotlib


This command will download and install the matplotlib library on your system, allowing you to use it in your Python projects. Make sure you have pip installed on your system before running this command.


Once the installation is complete, you can import matplotlib in your Python script and start using its plotting capabilities to create visualizations and graphs.

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How to install matplotlib from a wheel file using pip?

To install matplotlib from a wheel file using pip, you can follow these steps:

  1. First, download the matplotlib wheel file from the Python Package Index (PyPI) or another trusted source. Make sure to download the appropriate wheel file for your Python version and platform.
  2. Open a command prompt or terminal window.
  3. Navigate to the directory where you downloaded the matplotlib wheel file.
  4. Run the following command to install matplotlib from the wheel file using pip: 
1

pip install <wheel_file_name>.whl


Replace <wheel_file_name> with the actual name of the matplotlib wheel file you downloaded.

  1. Pip will install matplotlib and any necessary dependencies from the wheel file.
  2. Verify that matplotlib has been successfully installed by importing it in a Python script or interactive Python session: 
1

import matplotlib


If no errors occur, matplotlib has been successfully installed from the wheel file using pip.


How to list installed matplotlib packages with pip?

To list installed matplotlib packages with pip, you can use the following command:

1

pip show matplotlib


This command will display information about the installed matplotlib package, including its version, location, and other details.


How to install matplotlib with pip in a Jupyter notebook?

You can install matplotlib in a Jupyter notebook by running the following command in a code cell:

1

!pip install matplotlib


This will install the matplotlib package using the pip package manager directly within the Jupyter notebook environment.

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