Change doc of grouping example.
@@ -66,7 +66,7 @@ print(recording_tetrodes.get_shared_channel_property_names())
t_start = time.time()
sorting_tetrodes = ss.run_sorter('klusta', recording_tetrodes, output_folder='tmp_tetrodes',
- grouping_property='group', parallel=False)
+ grouping_property='group', parallel=False, verbose=False)
print('Elapsed time: ', time.time() - t_start)
##############################################################################
@@ -74,7 +74,7 @@ print('Elapsed time: ', time.time() - t_start)
t_start = time.time()
sorting_tetrodes_p = ss.run_sorter('klusta', recording_tetrodes, output_folder='tmp_tetrodes_par',
- grouping_property='group', parallel=True)
+ grouping_property='group', parallel=True, verbose=False)
print('Elapsed time parallel: ', time.time() - t_start)
##############################################################################
@@ -83,10 +83,6 @@ print('Elapsed time parallel: ', time.time() - t_start)
print(sorting_tetrodes.get_shared_unit_property_names())
##############################################################################
-# Note that some spike sorters (e.g. Klusta, Spyking Circus) can handle automatically group information. In those cases
-# the 'group' is automatically parsed. Other spike sorters can handle 'group' only through the 'grouping_property'
-# parameter.
-#
# Note that channels can be split by any property. Let's for example assume that half of the tetrodes are in hippocampus
# CA1 region, and the other half is in CA3. first we have to load this property (this can be done also from the '.prb'
# file):
