Visualization

Plotting utilities built on MNE-Python and matplotlib. All functions accept dictionaries of mne.Evoked or mne.Epochs objects keyed by condition name, making it straightforward to overlay or compare multiple conditions in a single call.

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Power spectral density

plot_PSD(inst_dict, fmin, fmax[, ...])	Plot power spectral density (PSD) for given events.
plot_psd_topomaps(inst_dict, *[, unit, ...])	Plot PSD topomaps for specified frequency bands.

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Time-frequency

plot_TFR(inst_dict, *[, freqs, tmin, tmax, ...])	Plot Event-Related Spectral Perturbations (ERSP) for given events.
plot_tfr_topomaps(inst_dict, *[, times, ...])	Plot topomaps for different frequency bands and time windows for TFRs.
plot_ERSP(inst_dict, *[, freqs, tmin, tmax, ...])	Use plot_TFR instead.

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Event-related potentials

plot_ERP(inst_dict, *[, ci, picks, combine, ...])	Plot Event-Related Potentials (ERP) for given events.
plot_various_ERPs(inst, *, event_id[, ...])	Prepare and plot various ERPs from raw EEG or ICA sources.
plot_evoked_data(inst_dict[, kinds, ...])	Plot various evoked plot with this higher-level function.
plot_joint(inst_dict[, ylim, ts_kwargs, ...])	Plot joint plots for evokeds.
plot_topo(inst_dict[, times, vlim, topo_kwargs])	Plot topographic (topomap) snapshots for evoked responses.
plot_butterfly(inst_dict[, ylim, ts_kwargs])	Plot butterfly plots for evokeds.

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Utilities

glue_imgs(fnames, fname[, delete_fnames])

Glue images together.