This documentation is still very early and not complete nor well written.
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This Python file allows us to display the Nyquist plot of one model.

3 useful functions

1. nyquist()

It allows us to visualize the Nyquist plots of one cell model
When typing in nyquist(), a list of the different cell models appears. We can then type in the index of the cell model we want to display and the Nyquist plot pops up.
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2. comp_nyquist()

It allows us to visualize the Nyquist plots of different cell models on one graph in order to compare the cells characteristics.
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Again, an interactive menu allows you to easily choose the cell models you want to compare.

QS_ir()

It allows us to visualize the correlation between the relative quality score of a cell and its internal resistance value.
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It can be completed by correlation() that displays QS_ir() for each cell model on one single graph.
The correlation between the increase of the IR and the decrease of the relative quality score QS (with all cell models)
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