MADAP 0.9.0

This is MADAP, a software package for the analysis of electrochemical data.

MADAP

Modular and Autonomous Data Analysis Platform (MADAP) is a well-documented python package which can be used for electrochmeical data analysis.

This package consists of 3 main classes for analysis:

• Voltammetry

• Impedance spectroscopy

• Arrhenius

This package allows user to upload any common file format of data and the select the data of choice. The user can use to scientifically plot and get correspondence analysis from each procedure (i.e. by calling “eis_analysis” , Nyquist, bode as well as the correspondence equivalent circuit and its parameters will be drawn). This package can be installed via pip/conda and can be utilized with a GUI, command line or just directly importing the module in a python script.

Documentation

A documentation for the implementation and use of MADAP can be found here

Installation

MADAP can be installed via pip:

pip install MADAP

Usage

MADAP can be used in a python script as follows:

from madap.echem.arrhenius import arrhenius
from madap.echem.e_impedance import e_impedance
from madap.data_acquisition import data_acquisition as da


# Load the data
data = da.acquire_data('data.csv')
# Define the desired plots for Arrhenius analysis
plots_arr = ["arrhenius", "arrhenius_fit"]
# Define the desired plots for impedance analysis
plots_eis = ["nyquist", "nyquist_fit", "bode", "residual"]
# Define a save location#
save_dir = "/results"

### Arrhenius
# Instantiate the Arrhenius class for analysis (column names do not have to match exactly, this is just an example)
Arr = arrhenius.Arrhenius(da.format_data(data["temperature"], da.format_data(data["conductivity"])))
# Perform analysis and plotting
Arr.perform_all_actions(save_dir, plots = plots_arr)

### Impedance
# Initialize the Impedance class for analysis (column names do not have to match exactly, this is just an example)
Im = e_impedance.EImpedance(da.format_data(data["freq"]), da.format_data(data["real"]), da.format_data(data["img"]))
# Initialis the EIS procedure. The initial value is the initial guess for the equivalent circuit (can also be left empty)
Eis  = e_impedance.EIS(Im, suggested_circuit = "R0-p(R1,CPE1)",initial_value =[860, 3e+5, 1e-09, 0.90])
# Analyze the data
Eis.perform_all_actions(save_dir, plots = plots_eis)

# More usages and options can be found in the documentation.

MADAP can also be used via command line:

python -m madap_cli --file <path_to_file> --procedure <procedure> --results <path_to_results> --header_list <header_list> --plot <list_of_plots>

MADAP can also be used via a GUI:

python -m madap_gui

License

MADAP is licensed under the MIT license. See the LICENSE file for more details.

Citation

If you use MADAP in your research, please cite this GitHub repository https://github.com/fuzhanrahmanian/MADAP.

References

This package is based relies on the following packages and papers: - Impedance GitHub repository by Matthew D. Murbach and Brian Gerwe and Neal Dawson-Elli and Lok-kun Tsui: link - A Method for Improving the Robustness of linear Kramers-Kronig Validity Tests DOI: https://doi.org/10.1016/j.electacta.2014.01.034

History

0.9.0 (2022-10-02)

• Update documentation

0.8.0 (2022-10-02)

• First release on PyPI.