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

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course