def radar_modes(self):
radar_modes = RadarModes()
radar_mode_flag_list = np.unique(self.waveform.radar_mode)
radar_mode_list = []
for radar_mode_flag in radar_mode_flag_list:
radar_mode_list.append(radar_modes.name(radar_mode_flag))
return ";".join(radar_mode_list)
def update_waveform_statistics(self):
""" Compute waveform metadata attributes """
# waveform property infos (lrm, sar, sarin)
radar_modes = RadarModes()
radar_mode = self.waveform.radar_mode
# Check if radar mode is none
# (e.g. if only header information is parsed at this stage)
if radar_mode is None:
return
# Compute the percentage of each radar mode in the l1b object
nrecs_fl = float(self.n_records)
for flag in range(radar_modes.num):
is_this_radar_mode = np.where(radar_mode == flag)[0]
radar_mode_percent = 100.*float(len(is_this_radar_mode))/nrecs_fl
attribute_name = "%s_mode_percent" % radar_modes.name(flag)
self.info.set_attribute(attribute_name, radar_mode_percent)