Ekidna 0.0.9

Electrochemistry data analysis tools

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

0.0.9 (February 14, 2024)

• Ninth Release

Notes:

Adjusted existing moving_average_baseline_subtraction function to take a new input, max_iter, which specifies the maximum number of iterations to be performed by the baseline subtraction algorithm.

Added functions (see “module contents” document for descriptions of these functions): - running_sd - running_mean - fitRandlesSevcikModels - RS_solution_resistance - RS_linear_self_blocking - RS_anomalous_diffusion - RS_linear_self_blocking_anomalous_diffusion - RS_basic - plotRSModels

Added classes (see “module contents” document for descriptions of classes) - double_power_std_curve - self_resistance_std_curve