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Updated instructions in fit_nonlinear_spindle.py

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- repl.it has changed since the last time fit_nonlinear_spindle.py was tested. Updated instructions.
This commit is contained in:
Sonny Jeon
2018-04-06 13:09:15 -06:00
parent 5967839ab3
commit 5c8dcefcbd
1 changed files with 19 additions and 9 deletions
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28
doc/script/fit_nonlinear_spindle.py
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@@ -2,7 +2,7 @@
---------------------
The MIT License (MIT)
Copyright (c) 2017 Sungeun K. Jeon for Gnea Research LLC
Copyright (c) 2017-2018 Sungeun K. Jeon for Gnea Research LLC
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
@@ -34,14 +34,24 @@ REQUIREMENTS:
- Python 2.7 or 3.x with SciPy, NumPy, and Matplotlib Python Libraries
- For the most people, the easiest way to run this script is on the free cloud service
https://repl.it/site/languages/python3. No account necessary. Unlimited runs. To use,
go to the website and start the Python REPL. Copy and paste this script into the
browser editor. Click the 'Add New File' icon on the upper left side. This is very
important. It places the REPL in multiple file mode and will enable viewing the plot.
Click the 'Run' icon. The solution will be presented in the console on the right side,
and the data plot will appear as a tab called 'line_fit.png'. You can edit the script
directly in the browser and re-run the script as many times as you need. A free
account is only necessary if you want to save files on their servers.
https://repl.it/site/languages/python3. No account necessary. Unlimited runs.
- Last checked on 4/5/2018. This site has been regularly evolving and becoming more
powerful. Things may not work exactly as shown. Please report any issues.
- To use, go to the website and start the Python REPL. Copy and paste this script into
the main.py file in the browser editor. Click 'Run' and a solution should appear in
the text output in the REPL console window. You can edit the script directly in the
browser and re-run the script as many times as you need. A free account is only
necessary if you want to save files on their servers.
- This script will also automatically generate a png image with the plot of the data
with the piece-wise linear fit over it, but this will not show up by default on this
website. To enable this, just click the 'Add File' icon and create a dummy file.
Name it anything, like dummy.py. Leave this file blank. Doing this places the REPL
in multiple file mode and will enable viewing the plot. Click the 'Run' icon. The
solution will be presented again in the console, and the data plot will appear in
the file list called 'line_fit.png'. Click the file to view the plot.
- For offline Python installs, most Mac and Linux computers have Python pre-installed
with the required libraries. If not, a quick google search will show you how to