Environment Setup for Matplotlib
Last Updated :
21 Apr, 2020
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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
