Source code for bmtk.analyzer.visualization.rasters

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import numpy as np


[docs]def plot_raster_query(ax, spikes, nodes_df, cmap, twindow=[0, 3], marker=".", lw=0, s=10): """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: """ tstart = twindow[0] tend = twindow[1] ix_t = np.where((spikes[0] > tstart) & (spikes[0] < tend)) spike_times = spikes[0][ix_t] spike_gids = spikes[1][ix_t] for query, col in cmap.items(): query_df = nodes_df.query(query) gids_query = query_df.index print("{} ncells: {} {}".format(query, len(gids_query), col)) ix_g = np.in1d(spike_gids, gids_query) ax.scatter(spike_times[ix_g], spike_gids[ix_g], marker=marker, # facecolors='none', facecolors=col, # edgecolors=col, s=s, label=query, lw=lw)