Electrochemistry data analysis tools
Project description
This library contains functions and classes for analysis of, primarily, data collected from electrochemistry experiments. 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
0.0.6 (June 29, 2023)
Sixth Release
Notes:
Added a class called linear_std_curve
The class can be used to fit a linear model to data. The class goes beyond standard coefficient determination, as it also determines estimation limits for inverse regression. Information such as smoothing, baseline subtraction, calibration procedures employed to process the data prior to fitting can also be stored.
The prediction band edges of the standard curve are also callable as methods within the object. See documentation for full list of methods and attributes.
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