This is a short matplotlib tutorial, presented as a Jupyter notebook.
- Just click on
tutorial.ipynbin this repository! - Alternatively, open up the html verion of the tutorial in your browser.
- First, download Jupyter. In mac/linux, just type:
pip install jupyter --user. - With Jupyter installed, download
tutorial.ipynbfrom this Github repository, navigate to where you have saved in and typejupyter notebookin the command line.
In the codes folder, you'll find some of the code from the tutorial.
stylemodule.pysets a couple of parameters to make fonts look nicer, as well as defining some custom colours that you can use in your plots. To inclue this in your plots, just putimport stylemoduleat the beginning of any of your scripts.bifurcation.pyis a script to plot bifurcation diagrams. It's just meant as a template. It's usage is explained in the tutorial.datareader.pywill read files in from a directory, open them up one by one, plot them and then save the resulting image files into another directory. Again, this is just meant as a template -- replace relevant filenames with whatever you need etc.
You may have problems installing things with pip in mac. This is because OSX is partially built with Python, and therefore the version of Python that macs ship with is heavily system protected in order to prevent people bricking their computers.
What you should do is install your own version of python along side the system's default version. To do this, install brew and do brew install python. Once installed, type which -a python to see where your new version of python lives on your computer, as well as where the system's version lives. Once you've identified the location of your new version, place this location in your path ahead of the system's version. Then restart the terminal. Now when you use python in the command line, it will be your version and you can install whatever you like to it, including Jupyter.