if t_min is None:
time_range = [0.0, t_max]
else:
time_range = [t_min, t_max]
if not populations:
populations = ['eachPop']
plot.plot_spike_histogram(spike_events_path,
spike_events_namespace,
include=populations,
time_variable=t_variable,
time_range=time_range,
pop_rates=True,
bin_size=bin_size,
smooth=smooth,
quantity=quantity,
fontSize=font_size,
overlay=overlay,
graph_type=graph_type,
progress=progress,
include_artificial=include_artificial,
saveFig=True,
figFormat=save_format)
if __name__ == '__main__':
main(args=sys.argv[(
utils.list_find(lambda x: os.path.basename(x) == script_name, sys.argv
) + 1):])
import os, sys
import click
from ca1 import env, utils, io_utils
from ca1.env import Env
@click.command()
@click.option("--input-path", '-p', default='ca1_h5types.h5', type=click.Path(exists=True, file_okay=True, dir_okay=False))
def main(input_path):
io_utils.show_celltypes(input_path)
if __name__ == '__main__':
main(args=sys.argv[(utils.list_find(lambda x: os.path.basename(x) == os.path.basename(__file__), sys.argv)+1):])
pop_start + i: {
'X Coordinate': np.asarray([x_coord], dtype=np.float32),
'Y Coordinate': np.asarray([y_coord], dtype=np.float32),
'Z Coordinate': np.asarray([z_coord], dtype=np.float32),
'U Coordinate': np.asarray([u_coord], dtype=np.float32),
'V Coordinate': np.asarray([v_coord], dtype=np.float32),
'L Coordinate': np.asarray([l_coord], dtype=np.float32)
}
for (i, (x_coord, y_coord, z_coord, u_coord, v_coord,
l_coord)) in enumerate(sampled_coords)
}
append_cell_attributes(output_path,
population,
coords_dict,
namespace=output_namespace,
io_size=io_size,
chunk_size=chunk_size,
value_chunk_size=value_chunk_size,
comm=comm0)
comm.barrier()
comm0.Free()
if __name__ == '__main__':
main(args=sys.argv[(
list_find(lambda x: os.path.basename(x) == os.path.basename(__file__),
sys.argv) + 1):])