Metadata-Version: 2.1
Name: Ekidna
Version: 0.0.2
Summary: Electrochemistry data analysis tools
Home-page: 
Author: OzymandiasTheDead
Author-email: jacob@ekidnasensing.com
License: MIT
Keywords: Ekidna
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
License-File: LICENSE.txt

This library contains functions for analysis of, primarily, data collected from 
electrochemistry experiment. Various functions may be useful beyond the scope of
electrochemistry.

Examples of tools include: baseline subtraction, pairplots, histograms, standard curve creators, smoothing, etc . . . 

The code is developed by researchers at Ekidna Sensing.

Change Log
===========
0.0.2 (January 12, 2023)
-------------------------
- Second Release

Notes:
------
Added a function called scatter_bygroup. This function creates a 2-D scatterplot on a matplotlib axis and colours the points by
a third variable. The user passes an axis object,  x,y,col arrays, and, if desired, a string representing a matplotlib colormap.
The default colormap is 'hot'.

