else classification
for idx in range(first_idx, len(classification_lst)):
if classification_lst[idx] == tmp_classification:
- index = idx
- break
+ if rel_change_lst[idx]:
+ index = idx
+ break
for idx in range(index+1, len(classification_lst)):
if classification_lst[idx] == tmp_classification:
- if (abs(rel_change_lst[idx]) >
- abs(rel_change_lst[index])):
- index = idx
+ if rel_change_lst[idx]:
+ if (abs(rel_change_lst[idx]) >
+ abs(rel_change_lst[index])):
+ index = idx
trend = round(float(median_lst[-1]) / 1000000, 2) \
if not isnan(median_lst[-1]) else '-'