Environment Setup for Matplotlib

Matplotlib is an overall package for creating static, animated, and interactive visualizations in Python. It literally opens up a whole new world of possibilities for you! Especially when it is used with Numpy or Pandas library, one can do unimaginable things. The plots give may give a new insight altogether. Now, the question arises i.e. How to make it running on your computer? But a more primary question would be, what are its pre-requisites or as we call it, dependencies for the software to run on your computer?

Dependencies

• Python (>= 3.6)
• FreeType (>= 2.3)
• libpng (>= 1.2)
• NumPy (>= 1.11)
• setuptools
• cycler (>= 0.10.0)
• dateutil (>= 2.1)
• kiwisolver (>= 1.0.0)
• pyparsing

We’re ready to get the Matplotlib on our system!

Setting up

On macOS

• Install libpng and Freetype using brew:

  brew install libpng freetype pkg-config

• In case you’re working on MacPorts, execute the following instead:

  port install libpng freetype pkgconfig

• Now install matplotlib from the source using:

  python -mpip install 

On Linux
It’s the easiest to get it on Ubuntu since you can get all the dependencies by simply using the following command:

sudo apt-get build-dep python-matplotlib

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