nrv.eit.utils

Description

eit util: utils function and class specific to eit sub-package.

eit utils mostly gather tools to compute conductivity/admitivity values, handle numpy arrays and plot eit_simulation results.

Classes

Figure_elec(n_e[, fig, spec, ij_offset, ...])

Helper class organizing one subplot per electrode around a central nerve view.

Functions

get_samples_index(results, n_pts[, alpha, ...])	Selects sample indices from nerve simulation results to achieve adaptative sampling along the arc length of the signal.
sample_nerve_results(results, n_pts[, ...])	Samples specific keys from nerve simulation results at selected time points.
plot_array(ax, x, arr[, axis])	Plot a one-dimensional coordinate against an array of arbitrary dimension.
gen_idx_arange(idx, n[, add_0])	Generate per-segment counters from boundary indices.
thr_window(X[, alpha])
gen_fig_elec(n_e[, fig, spec, ij_offset, ...])	Create a figure layout with one axis per electrode and one central axis.
plot_all_elec(res_list[, t, axs, i_res, ...])	Plot one signal trace per electrode on an existing or generated layout.
add_nerve_plot(axs, data[, add_elec, ...])	Draw a nerve cross-section and optionally the electrode geometry.
scale_axs(axs[, i_ax, unit_x, unit_y, ...])	Harmonize y-limits across electrode axes and add scale bars.
plot_nerve_nor(fname, l_elec, x_rec[, fasc_ID])	Plot node-of-Ranvier alignment relative to one electrode window.
fill_between_all_elec(axs, res_list_1, ...)	Fill the area between two electrode-wise signals.
color_elec(axs, data, n_e, list_e, **kwgs)	Highlight selected cuff electrodes on the nerve plot.