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Updated plot names and tweaked alpha function.

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Luke 2018-07-24 18:06:24 -07:00
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README.md
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@ -1,35 +1,36 @@
# 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.
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.
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.
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
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
@ -45,7 +46,6 @@ fontsAvailable = set([FM.FontProperties(fname=fcFont).get_name()\
[matplotlib docs](https://matplotlib.org/api/font_manager_api.html)
## 3.
# TODO
* make pySmithPlot a git sub-module