bmtk.analyzer.visualization package¶
Submodules¶
bmtk.analyzer.visualization.rasters module¶
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bmtk.analyzer.visualization.rasters.
plot_raster_query
(ax, spikes, nodes_df, cmap, twindow=[0, 3], marker='.', lw=0, s=10)[source]¶ Plot raster colored according to a query.
Query’s key defines node selection and the corresponding values defines color :param ax: matplotlib axes object, axes to use :param spikes: tuple of numpy arrays, includes [times, gids] :param nodes_df: pandas DataFrame, nodes table :param cmap: dict, key: query string, value:color :param twindow: tuple [start_time,end_time] :param marker: :param lw: :param s:
bmtk.analyzer.visualization.spikes module¶
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bmtk.analyzer.visualization.spikes.
plot_avg_rates
(cell_models_file, rates_file, model_keys=None, save_as=None, show_plot=True)[source]¶
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bmtk.analyzer.visualization.spikes.
plot_rates_old
(cells_file, cell_models_file, spikes_file, group_key=None, exclude=[], interval=None, show=True, title=None, save_as=None, smoothed=False)[source]¶
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bmtk.analyzer.visualization.spikes.
plot_rates_popnet
(cell_models_file, rates_file, model_keys=None, save_as=None, show_plot=True)[source]¶ Initial method for plotting popnet output
- Parameters
cell_models_file –
rates_file –
model_keys –
save_as –
show_plot –
- Returns
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bmtk.analyzer.visualization.spikes.
plot_ratess
(cells_file, cell_models_file, spikes_file, group_key='pop_name', exclude=['LIF_inh', 'LIF_exc'], save_as=None, show_plot=True)[source]¶
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bmtk.analyzer.visualization.spikes.
plot_spikes
(cells_file, cell_models_file, spikes_file, population=None, group_key=None, exclude=[], save_as=None, show=True, title=None, legend=True, font_size=None)[source]¶