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Added in error handling for missing calbibrations #21

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Merged
micahjohnson150 merged 1 commit into from
Mar 13, 2025
Merged

Added in error handling for missing calbibrations #21

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13 changes: 7 additions & 6 deletions study_lyte/profile.py
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Original file line number Diff line number Diff line change
Expand Up @@ -166,11 +166,12 @@ def force(self):
calibrated force and depth as a pandas dataframe cropped to the snow surface and the stop of motion
"""
if self._force is None:
if 'Sensor1' in self.calibration.keys():
force = apply_calibration(self.raw['Sensor1'].values, self.calibration['Sensor1'], minimum=0, maximum=15000)
force = force - np.nanmean(force[0:20])
else:
force = self.raw['Sensor1'].values
# Default to raw data
force = self.raw['Sensor1'].values
if self.calibration is not None:
if 'Sensor1' in self.calibration.keys():
force = apply_calibration(self.raw['Sensor1'].values, self.calibration['Sensor1'], minimum=0, maximum=15000)
force = force - np.nanmean(force[0:20])

self._force = pd.DataFrame({'force': force, 'depth': self.depth.values})
# prefer a ground index if available
Expand Down Expand Up @@ -409,7 +410,7 @@ def depth(self):
error=self.error.index)

if depth.min() < -230 and self.accelerometer.depth.min() > -230:
LOG.warning('Fused depth result produced a profile > 250 cm. Defaulting to accelerometer')
LOG.warning('Fused depth result produced a profile > 230 cm. Defaulting to accelerometer')
self._depth = self.accelerometer.depth

elif depth.min() < -230 and self.barometer.depth.min() > -230:
Expand Down