def test_eventplotter():
dataset = get_dataset("gamma_test.simtel.gz")
source = hessio_event_source(dataset, max_events=1)
event = next(source)
data = event.r0.tel[38].adc_samples[0]
plotter = CameraPlotter(event)
camera = plotter.draw_camera(38, data[:, 0])
assert camera is not None
np.testing.assert_array_equal(camera.image, data[:, 0])
plotter.draw_camera_pixel_ids(38, [0, 1, 2])
waveform = plotter.draw_waveform(data[0, :])
assert waveform is not None
np.testing.assert_array_equal(waveform.get_ydata(), data[0, :])
line = plotter.draw_waveform_positionline(0)
assert line is not None
np.testing.assert_array_equal(line.get_xdata(), [0, 0])
def test_eventplotter():
dataset = get_dataset_path("gamma_test_large.simtel.gz")
with event_source(dataset, max_events=1) as source:
event = next(iter(source))
telid = list(event.r0.tels_with_data)[0]
data = event.r0.tel[telid].waveform[0]
plotter = CameraPlotter(event)
camera = plotter.draw_camera(telid, data[:, 0])
assert camera is not None
np.testing.assert_array_equal(camera.image, data[:, 0])
plotter.draw_camera_pixel_ids(telid, [0, 1, 2])
waveform = plotter.draw_waveform(data[0, :])
assert waveform is not None
np.testing.assert_array_equal(waveform.get_ydata(), data[0, :])
line = plotter.draw_waveform_positionline(0)
assert line is not None
np.testing.assert_array_equal(line.get_xdata(), [0, 0])
def main():
script = os.path.splitext(os.path.basename(__file__))[0]
log.info("[SCRIPT] {}".format(script))
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('-f',
'--file',
dest='input_path',
action='store',
default=get_path('gamma_test.simtel.gz'),
help='path to the input file')
parser.add_argument('-O',
'--origin',
dest='origin',
action='store',
choices=InputFile.origin_list(),
default='hessio',
help='origin of the file')
parser.add_argument('-o',
'--output',
dest='output_dir',
action='store',
default=None,
help='path of the output directory to store the '
'images (default = input file directory)')
parser.add_argument('-e',
'--event',
dest='event_req',
action='store',
default=0,
type=int,
help='event index to plot (not id!)')
parser.add_argument('--id',
dest='event_id_f',
action='store_true',
default=False,
help='-e will specify event_id instead '
'of index')
parser.add_argument('-t',
'--telescope',
dest='tel',
action='store',
type=int,
default=None,
help='telecope to view')
parser.add_argument('-c',
'--channel',
dest='chan',
action='store',
type=int,
default=0,
help='channel to view (default = 0 (HG))')
parser.add_argument('--calib-help',
dest='calib_help',
action='store_true',
default=False,
help='display the arguments used for the camera '
'calibration')
logger_detail = parser.add_mutually_exclusive_group()
logger_detail.add_argument('-q',
'--quiet',
dest='quiet',
action='store_true',
default=False,
help='Quiet mode')
logger_detail.add_argument('-v',
'--verbose',
dest='verbose',
action='store_true',
default=False,
help='Verbose mode')
logger_detail.add_argument('-d',
'--debug',
dest='debug',
action='store_true',
default=False,
help='Debug mode')
args, excess_args = parser.parse_known_args()
if args.quiet:
log.setLevel(40)
if args.verbose:
log.setLevel(20)
if args.debug:
log.setLevel(10)
telid = args.tel
chan = args.chan
log.debug("[file] Reading file")
input_file = InputFile(args.input_path, args.origin)
event = input_file.get_event(args.event_req, args.event_id_f)
# Print event/args values
log.info("[event_index] {}".format(event.count))
log.info("[event_id] {}".format(event.dl0.event_id))
log.info("[telescope] {}".format(telid))
log.info("[channel] {}".format(chan))
params, unknown_args = calibration_parameters(excess_args, args.origin,
args.calib_help)
if unknown_args:
parser.print_help()
calibration_parameters(unknown_args, args.origin, True)
msg = 'unrecognized arguments: %s'
parser.error(msg % ' '.join(unknown_args))
# Create a dictionary to store any geoms in
geom = CameraGeometry.guess(*event.meta.pixel_pos[telid],
event.meta.optical_foclen[telid])
geom_dict = {telid: geom}
calibrated_event = calibrate_event(event, params, geom_dict)
# Select telescope
tels = list(calibrated_event.dl0.tels_with_data)
if telid is None or telid not in tels:
log.error("[event] please specify one of the following telescopes "
"for this event: {}".format(tels))
exit()
# Extract required images
data_ped = calibrated_event.dl1.tel[telid].pedestal_subtracted_adc[chan]
true_pe = calibrated_event.mc.tel[telid].photo_electrons
measured_pe = calibrated_event.dl1.tel[telid].pe_charge
max_time = np.unravel_index(np.argmax(data_ped), data_ped.shape)[1]
max_charges = np.max(data_ped, axis=1)
max_pixel = int(np.argmax(max_charges))
min_pixel = int(np.argmin(max_charges))
# Get Neighbours
max_pixel_nei = geom.neighbors[max_pixel]
min_pixel_nei = geom.neighbors[min_pixel]
# Get Windows
windows = calibrated_event.dl1.tel[telid].integration_window[chan]
length = np.sum(windows, axis=1)
start = np.argmax(windows, axis=1)
end = start + length - 1
# Draw figures
ax_max_nei = {}
ax_min_nei = {}
fig_waveforms = plt.figure(figsize=(18, 9))
fig_waveforms.subplots_adjust(hspace=.5)
fig_camera = plt.figure(figsize=(15, 12))
ax_max_pix = fig_waveforms.add_subplot(4, 2, 1)
ax_min_pix = fig_waveforms.add_subplot(4, 2, 2)
ax_max_nei[0] = fig_waveforms.add_subplot(4, 2, 3)
ax_min_nei[0] = fig_waveforms.add_subplot(4, 2, 4)
ax_max_nei[1] = fig_waveforms.add_subplot(4, 2, 5)
ax_min_nei[1] = fig_waveforms.add_subplot(4, 2, 6)
ax_max_nei[2] = fig_waveforms.add_subplot(4, 2, 7)
ax_min_nei[2] = fig_waveforms.add_subplot(4, 2, 8)
ax_img_nei = fig_camera.add_subplot(2, 2, 1)
ax_img_max = fig_camera.add_subplot(2, 2, 2)
ax_img_true = fig_camera.add_subplot(2, 2, 3)
ax_img_cal = fig_camera.add_subplot(2, 2, 4)
plotter = CameraPlotter(event, geom_dict)
# Draw max pixel traces
plotter.draw_waveform(data_ped[max_pixel], ax_max_pix)
ax_max_pix.set_title("(Max) Pixel: {}, "
"True: {}, "
"Measured = {:.3f}".format(max_pixel,
true_pe[max_pixel],
measured_pe[max_pixel]))
ax_max_pix.set_ylabel("Amplitude-Ped (ADC)")
max_ylim = ax_max_pix.get_ylim()
plotter.draw_waveform_positionline(start[max_pixel], ax_max_pix)
plotter.draw_waveform_positionline(end[max_pixel], ax_max_pix)
for i, ax in ax_max_nei.items():
if len(max_pixel_nei) > i:
pix = max_pixel_nei[i]
plotter.draw_waveform(data_ped[pix], ax)
ax.set_title("(Max Nei) Pixel: {}, "
"True: {}, "
"Measured = {:.3f}".format(pix, true_pe[pix],
measured_pe[pix]))
ax.set_ylabel("Amplitude-Ped (ADC)")
ax.set_ylim(max_ylim)
plotter.draw_waveform_positionline(start[pix], ax)
plotter.draw_waveform_positionline(end[pix], ax)
# Draw min pixel traces
plotter.draw_waveform(data_ped[min_pixel], ax_min_pix)
ax_min_pix.set_title("(Min) Pixel: {}, "
"True: {}, "
"Measured = {:.3f}".format(min_pixel,
true_pe[min_pixel],
measured_pe[min_pixel]))
ax_min_pix.set_ylabel("Amplitude-Ped (ADC)")
ax_min_pix.set_ylim(max_ylim)
plotter.draw_waveform_positionline(start[min_pixel], ax_min_pix)
plotter.draw_waveform_positionline(end[min_pixel], ax_min_pix)
for i, ax in ax_min_nei.items():
if len(min_pixel_nei) > i:
pix = min_pixel_nei[i]
plotter.draw_waveform(data_ped[pix], ax)
ax.set_title("(Min Nei) Pixel: {}, "
"True: {}, "
"Measured = {:.3f}".format(pix, true_pe[pix],
measured_pe[pix]))
ax.set_ylabel("Amplitude-Ped (ADC)")
ax.set_ylim(max_ylim)
plotter.draw_waveform_positionline(start[pix], ax)
plotter.draw_waveform_positionline(end[pix], ax)
# Draw cameras
nei_camera = np.zeros_like(max_charges, dtype=np.int)
nei_camera[min_pixel_nei] = 2
nei_camera[min_pixel] = 1
nei_camera[max_pixel_nei] = 3
nei_camera[max_pixel] = 4
camera = plotter.draw_camera(telid, nei_camera, ax_img_nei)
camera.cmap = plt.cm.viridis
ax_img_nei.set_title("Neighbour Map")
plotter.draw_camera_pixel_annotation(telid, max_pixel, min_pixel,
ax_img_nei)
camera = plotter.draw_camera(telid, data_ped[:, max_time], ax_img_max)
camera.add_colorbar(ax=ax_img_max, label="Amplitude-Ped (ADC)")
ax_img_max.set_title("Max Timeslice (T = {})".format(max_time))
plotter.draw_camera_pixel_annotation(telid, max_pixel, min_pixel,
ax_img_max)
camera = plotter.draw_camera(telid, true_pe, ax_img_true)
camera.add_colorbar(ax=ax_img_true, label="True Charge (Photo-electrons)")
ax_img_true.set_title("True Charge")
plotter.draw_camera_pixel_annotation(telid, max_pixel, min_pixel,
ax_img_true)
int_dict, inverted = integrator_dict()
integrator_name = '' if 'integrator' not in params else \
params['integrator']
camera = plotter.draw_camera(telid, measured_pe, ax_img_cal)
camera.add_colorbar(ax=ax_img_cal, label="Calib Charge (Photo-electrons)")
ax_img_cal.set_title("Charge (integrator={})".format(integrator_name))
plotter.draw_camera_pixel_annotation(telid, max_pixel, min_pixel,
ax_img_cal)
fig_waveforms.suptitle("Integrator = {}".format(integrator_name))
fig_camera.suptitle("Camera = {}".format(geom.cam_id))
waveform_output_name = "{}_e{}_t{}_c{}_integrator{}_waveform.pdf"\
.format(input_file.filename, event.count, telid, chan,
inverted[params['integrator']])
camera_output_name = "{}_e{}_t{}_c{}_integrator{}_camera.pdf"\
.format(input_file.filename, event.count, telid, chan,
inverted[params['integrator']])
output_dir = args.output_dir if args.output_dir is not None else \
input_file.output_directory
output_dir = os.path.join(output_dir, script)
if not os.path.exists(output_dir):
log.info("[output] Creating directory: {}".format(output_dir))
os.makedirs(output_dir)
waveform_output_path = os.path.join(output_dir, waveform_output_name)
log.info("[output] {}".format(waveform_output_path))
fig_waveforms.savefig(waveform_output_path,
format='pdf',
bbox_inches='tight')
camera_output_path = os.path.join(output_dir, camera_output_name)
log.info("[output] {}".format(camera_output_path))
fig_camera.savefig(camera_output_path, format='pdf', bbox_inches='tight')
log.info("[COMPLETE]")
def main():
script = os.path.splitext(os.path.basename(__file__))[0]
log.info("[SCRIPT] {}".format(script))
parser = argparse.ArgumentParser(description='Create a gif of an event')
parser.add_argument('-f', '--file', dest='input_path', action='store',
required=True, help='path to the input file')
parser.add_argument('-O', '--origin', dest='origin', action='store',
required=True, help='origin of the file: {}'
.format(origin_list()))
parser.add_argument('-o', '--output', dest='output_dir', action='store',
default=None,
help='path of the output directory to store the '
'images (default = input file directory)')
parser.add_argument('-e', '--event', dest='event_req', action='store',
required=True, type=int,
help='event index to plot (not id!)')
parser.add_argument('--id', dest='event_id_f', action='store_true',
default=False, help='-e will specify event_id instead '
'of index')
parser.add_argument('-t', '--telescope', dest='tel', action='store',
type=int, default=None, help='telecope to view')
parser.add_argument('-c', '--channel', dest='chan', action='store',
type=int, default=0,
help='channel to view (default = 0 (HG))')
calibration_arguments(parser)
logger_detail = parser.add_mutually_exclusive_group()
logger_detail.add_argument('-q', '--quiet', dest='quiet',
action='store_true', default=False,
help='Quiet mode')
logger_detail.add_argument('-v', '--verbose', dest='verbose',
action='store_true', default=False,
help='Verbose mode')
logger_detail.add_argument('-d', '--debug', dest='debug',
action='store_true', default=False,
help='Debug mode')
args = parser.parse_args()
if args.quiet:
log.setLevel(40)
if args.verbose:
log.setLevel(20)
if args.debug:
log.setLevel(10)
telid = args.tel
chan = args.chan
log.debug("[file] Reading file")
input_file = InputFile(args.input_path, args.origin)
event = input_file.get_event(args.event_req, args.event_id_f)
# Print event/args values
log.info("[event_index] {}".format(event.count))
log.info("[event_id] {}".format(event.dl0.event_id))
log.info("[telescope] {}".format(telid))
log.info("[channel] {}".format(chan))
params = calibration_parameters(args)
# Create a dictionary to store any geoms in
geom = CameraGeometry.guess(*event.meta.pixel_pos[telid],
event.meta.optical_foclen[telid])
geom_dict = {telid: geom}
calibrated_event = calibrate_event(event, params, geom_dict)
# Select telescope
tels = list(calibrated_event.dl0.tels_with_data)
if telid is None or telid not in tels:
log.error("[event] please specify one of the following telescopes "
"for this event: {}".format(tels))
exit()
# Extract required images
data_ped = calibrated_event.dl1.tel[telid].pedestal_subtracted_adc[chan]
true_pe = calibrated_event.mc.tel[telid].photo_electrons
measured_pe = calibrated_event.dl1.tel[telid].pe_charge
max_time = np.unravel_index(np.argmax(data_ped), data_ped.shape)[1]
max_charges = np.max(data_ped, axis=1)
max_pixel = int(np.argmax(max_charges))
min_pixel = int(np.argmin(max_charges))
# Get Neighbours
max_pixel_nei = geom.neighbors[max_pixel]
min_pixel_nei = geom.neighbors[min_pixel]
# Get Windows
windows = calibrated_event.dl1.tel[telid].integration_window[chan]
length = np.sum(windows, axis=1)
start = np.argmax(windows, axis=1)
end = start + length - 1
# Draw figures
ax_max_nei = {}
ax_min_nei = {}
fig_waveforms = plt.figure(figsize=(24, 10))
fig_waveforms.subplots_adjust(hspace=.5)
fig_camera = plt.figure(figsize=(30, 24))
ax_max_pix = fig_waveforms.add_subplot(4, 2, 1)
ax_min_pix = fig_waveforms.add_subplot(4, 2, 2)
ax_max_nei[0] = fig_waveforms.add_subplot(4, 2, 3)
ax_min_nei[0] = fig_waveforms.add_subplot(4, 2, 4)
ax_max_nei[1] = fig_waveforms.add_subplot(4, 2, 5)
ax_min_nei[1] = fig_waveforms.add_subplot(4, 2, 6)
ax_max_nei[2] = fig_waveforms.add_subplot(4, 2, 7)
ax_min_nei[2] = fig_waveforms.add_subplot(4, 2, 8)
ax_img_nei = fig_camera.add_subplot(2, 2, 1)
ax_img_max = fig_camera.add_subplot(2, 2, 2)
ax_img_true = fig_camera.add_subplot(2, 2, 3)
ax_img_cal = fig_camera.add_subplot(2, 2, 4)
plotter = CameraPlotter(event, geom_dict)
# Draw max pixel traces
plotter.draw_waveform(data_ped[max_pixel], ax_max_pix)
ax_max_pix.set_title("(Max) Pixel: {}, "
"True: {}, "
"Measured = {}".format(max_pixel, true_pe[max_pixel],
measured_pe[max_pixel]))
ax_max_pix.set_ylabel("Amplitude-Ped (ADC)")
max_ylim = ax_max_pix.get_ylim()
plotter.draw_waveform_positionline(start[max_pixel], ax_max_pix)
plotter.draw_waveform_positionline(end[max_pixel], ax_max_pix)
for i, ax in ax_max_nei.items():
if len(max_pixel_nei) > i:
pix = max_pixel_nei[i]
plotter.draw_waveform(data_ped[pix], ax)
ax.set_title("(Max Nei) Pixel: {}, "
"True: {}, "
"Measured = {}".format(pix, true_pe[pix],
measured_pe[pix]))
ax.set_ylabel("Amplitude-Ped (ADC)")
ax.set_ylim(max_ylim)
plotter.draw_waveform_positionline(start[pix], ax)
plotter.draw_waveform_positionline(end[pix], ax)
# Draw min pixel traces
plotter.draw_waveform(data_ped[min_pixel], ax_min_pix)
ax_min_pix.set_title("(Min) Pixel: {}, "
"True: {}, "
"Measured = {}".format(min_pixel, true_pe[min_pixel],
measured_pe[min_pixel]))
ax_min_pix.set_ylabel("Amplitude-Ped (ADC)")
ax_min_pix.set_ylim(max_ylim)
plotter.draw_waveform_positionline(start[min_pixel], ax_min_pix)
plotter.draw_waveform_positionline(end[min_pixel], ax_min_pix)
for i, ax in ax_min_nei.items():
if len(min_pixel_nei) > i:
pix = min_pixel_nei[i]
plotter.draw_waveform(data_ped[pix], ax)
ax.set_title("(Min Nei) Pixel: {}, "
"True: {}, "
"Measured = {}".format(pix, true_pe[pix],
measured_pe[pix]))
ax.set_ylabel("Amplitude-Ped (ADC)")
ax.set_ylim(max_ylim)
plotter.draw_waveform_positionline(start[pix], ax)
plotter.draw_waveform_positionline(end[pix], ax)
# Draw cameras
nei_camera = np.zeros_like(max_charges, dtype=np.int)
nei_camera[min_pixel_nei] = 2
nei_camera[min_pixel] = 1
nei_camera[max_pixel_nei] = 3
nei_camera[max_pixel] = 4
camera = plotter.draw_camera(telid, nei_camera, ax_img_nei)
camera.cmap = plt.cm.viridis
ax_img_nei.set_title("Neighbour Map")
plotter.draw_camera_pixel_annotation(telid, max_pixel, min_pixel,
ax_img_nei)
camera = plotter.draw_camera(telid, data_ped[:, max_time], ax_img_max)
camera.add_colorbar(ax=ax_img_max, label="Amplitude-Ped (ADC)")
ax_img_max.set_title("Max Timeslice (T = {})".format(max_time))
plotter.draw_camera_pixel_annotation(telid, max_pixel, min_pixel,
ax_img_max)
camera = plotter.draw_camera(telid, true_pe, ax_img_true)
camera.add_colorbar(ax=ax_img_true, label="True Charge (Photo-electrons)")
ax_img_true.set_title("True Charge")
plotter.draw_camera_pixel_annotation(telid, max_pixel, min_pixel,
ax_img_true)
camera = plotter.draw_camera(telid, measured_pe, ax_img_cal)
camera.add_colorbar(ax=ax_img_cal, label="Calib Charge (Photo-electrons)")
ax_img_cal.set_title("Charge (integrator={})".format(params['integrator']))
plotter.draw_camera_pixel_annotation(telid, max_pixel, min_pixel,
ax_img_cal)
fig_waveforms.suptitle("Integrator = {}".format(params['integrator']))
fig_camera.suptitle("Camera = {}".format(geom.cam_id))
# TODO: another figure of all waveforms that have non-zero true charge
waveform_output_name = "{}_e{}_t{}_c{}_integrator{}_waveform.pdf"\
.format(input_file.filename, event.count, telid, chan, args.integrator)
camera_output_name = "{}_e{}_t{}_c{}_integrator{}_camera.pdf"\
.format(input_file.filename, event.count, telid, chan, args.integrator)
output_dir = args.output_dir if args.output_dir is not None else \
input_file.output_directory
output_dir = os.path.join(output_dir, script)
if not os.path.exists(output_dir):
log.info("[output] Creating directory: {}".format(output_dir))
os.makedirs(output_dir)
waveform_output_path = os.path.join(output_dir, waveform_output_name)
log.info("[output] {}".format(waveform_output_path))
fig_waveforms.savefig(waveform_output_path, format='pdf')
camera_output_path = os.path.join(output_dir, camera_output_name)
log.info("[output] {}".format(camera_output_path))
fig_camera.savefig(camera_output_path, format='pdf')
log.info("[COMPLETE]")
