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Matplotlib is a Python library for creating various types of visualizations, such as plots, histograms, and scatterplots. It's highly customizable and commonly used for data visualization tasks, offering flexibility and control over the appearance of the plots.

Matplotlib was initially released in 2003 by John D. Hunter. It is a powerful and open-source library Python library for data visualization.

Python Matplotlib

Pre-requisites :

  • Python
  • Pip or Conda (depending on user)

Installation :

Install Matplotlib with pip :

  pip install matplotlib

Install Matplotlib with conda :

  # anaconda main channel 
  conda install matplotlib
  # conda-forge community channel
  conda install -c conda-forge matplotlib

Why use Matplotlib ?

  • Matplotlib offers a wide range of plot types, making it suitable for diverse data visualization needs.

  • It allows users to customize every aspect of their plots, providing control over colors, labels, annotations, and more.

  • Matplotlib integrates seamlessly with other Python libraries and has a large and active community, providing extensive documentation and support.

Video (Matplotlib Playlist) & Blog Tutorial :

Video_tutorial Blog_tutorial

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The fundamentals of Python Matplotlib Library.

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