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
0.0.7 (June 30, 2023)
Seventh Release
Notes:
Added standard curve classes: parabolic_QR, linear_QR, power_std_curve, parabolic_std_curve
The classes can be used to fit models to data. The classes also contain attriburtes such as 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 callable as methods within the objects. See documentation for full list of methods and attributes.
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