Vizualisaton

Here are gathered all plotting functions. Simply.

Functions

significance_overlay(pval, edges[, height, ...])	Annotate barplot (preferably, but any type really) with p-values.
pairwise_boxplots(arr1, arr2[, labels, ax, ...])	Plot two boxplot of supplied series with small lines indicating pairwise change between the two series.
plot_interactive(*args, **kwargs)
topomap(*args, **kwargs)
get_spatial_colors(info)	Create set of colours given info (i.e. channel locs) of raw mne object.
colormap_masked([ncolors, knee_index, cmap, ...])	Create a colormap with value below a threshold being greyed out and transparent.
plot_trf_signi(trf, reject[, ...])	Plot trf with significant portions highlighted and with thicker lines
plot_filterbank(fbank)	Plotting a filterbank as created by pyeeg.preprocess.create_filterbank()
plot_filterbank_output(signals[, x, ...])	Plot output coming out of a filterbank Each output of each channel is displayed on top of each other.
topoplot_array(*args, **kwargs)
plots_topogrid(*args, **kwargs)