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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)