Electrochemistry data analysis tools
Project description
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’.
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