# What is this? This whole tool is a basic front end for using Python's `matplotlib` in a moderately interactive and robust manner to do MATLAB-like number crunching and (more critically) plot generation for papers. ## MATLAB Soapbox Explanation While MATLAB has routines to save figures, the graphics back-end routinely runs into issues with NVIDIA GPU based systems, and I'm sick and tired of being tied to a tool that has a heavy resource footprint and only moderate documentation. The licensing restrictions (though not fundamentally debilitating) are a secondary reason I'm moving away from MATLAB. Finally, as I expect to graduate soon, the $50 (or $130 for my toolboxes) annual cost is going to rise to a debilitating point for things as mundane as personal projects. So I might as well kick an expensive habit while it's easy to fall back when needed. # Resources There are a few tricks to help configuring `matplotlib`. I'll update this document to describe the commands and tools to help decipher the information required to produce plots in a repeatable and tidy way. ## 1. Plot Defaults Plot defaults are managed by the `matplotlib` ## 2. Font Selection ```python import matplotlib.font_manager print(matplotlib.font_manager.fontManager.afmlist) print(matplotlib.font_manager.fontManager.ttflist) ``` I search for fonts using the following method: ```python import matplotlib.font_manager as FM import re fcFontList = FM.get_fontconfig_fonts() # Search only for fonts that have name matches similar to this fontsDesired = ['Helvetica', 'Times', 'Arial'] fontsDesiredRe = re.compile('|'.join(fontsDesired), flags=re.IGNORECASE) # Create a unique set of the fonts selected out of all of the system fonts fontsAvailable = set([FM.FontProperties(fname=fcFont).get_name()\ for fcFont in fcFontList if fontsDesiredRe.search(fcFont) != None]) ``` [matplotlib docs](https://matplotlib.org/api/font_manager_api.html) # TODO * make pySmithPlot a git sub-module * think of a smarter way to refactor things (this is an ever evolving goal)