I get this error
Traceback (most recent call last):
File "C:\Users\User1\Desktop\cellh5_scripts\ewa_pnas_fate.py", line 90, in <module>
ec.combine_classifiers("Event labels combined")
File "C:\Users\User1\Desktop\cellh5_scripts\ewa_pnas_fate.py", line 53, in combine_classifiers
pnas_class[pnas_class==3] = 1
TypeError: 'numpy.int32' object does not support item assignment
by runing the code
def combine_classifiers(self, output_name):
all_combined_classes = []
for _, (plate_name, w, p, t1, t2, track_ids, track_labels) in self.mapping[['Plate',
'Well',
'Site',
'Gene Symbol',
'siRNA ID',
'Event track ids',
'Event track labels']].iterrows():
combined_classes = []
ch5_file_handle = self.cellh5_handles[plate_name]
ch5_pos = ch5_file_handle.get_position(w, str(p))
for track_id, track_label in zip(track_ids, track_labels):
h2b_class = track_label.copy()
print(track_id)
pnas_class = ch5_pos.get_class_prediction('secondary__expanded')[track_id]['label_idx'] + 1
print(pnas_class)
inter_idx = h2b_class == 1
pnas_class[pnas_class==3] = 1
pnas_class[pnas_class==2]+=2
combined_class = h2b_class
combined_class[inter_idx] = pnas_class[inter_idx]
combined_classes.append(combined_class)
all_combined_classes.append(combined_classes)
self.mapping[output_name] = pandas.Series(all_combined_classes)
I print pnas_class which is 1, and track_id which is 50708. I'm wondering what the designer of code want to do in the part:
inter_idx = h2b_class == 1
pnas_class[pnas_class==3] = 1
pnas_class[pnas_class==2]+=2
combined_class = h2b_class
combined_class[inter_idx] = pnas_class[inter_idx]
How can I change that to have the same meaning?