or np.isnan(tmm[build_nr])
or np.isnan(tmstd[build_nr])):
results.append(0.0)
- elif value < (tmm[build_nr] - 2 * tmstd[build_nr]):
+ elif value < (tmm[build_nr] - 3 * tmstd[build_nr]):
results.append(0.33)
- elif value > (tmm[build_nr] + 2 * tmstd[build_nr]):
+ elif value > (tmm[build_nr] + 3 * tmstd[build_nr]):
results.append(1.0)
else:
results.append(0.66)
try:
tmm = np.median(trimmed_data)
tmstd = np.std(trimmed_data)
- if trimmed_data.values[-1] < (tmm - 2 * tmstd):
+ if trimmed_data.values[-1] < (tmm - 3 * tmstd):
results.append(0.33)
- elif (tmm - 2 * tmstd) <= trimmed_data.values[-1] <= (
- tmm + 2 * tmstd):
+ elif (tmm - 3 * tmstd) <= trimmed_data.values[-1] <= (
+ tmm + 3 * tmstd):
results.append(0.66)
else:
results.append(1.0)