这里是我的数据框
Unnamed: 0 nums demo_primaryid demo.event_dt th.start_dt demo.age demo.age_cod demo.sex indi.indi_pt dr.prod_ai re_pt ot_outc_cod
0 272767 272772 101586117 20190129 20190115 87 YR F Diabetic retinal oedema OMALIZUMAB Forced expiratory volume decreased HO
1 301966 301971 101586117 20190129 20170704 87 YR F Rheumatoid arthritis OMALIZUMAB Upper limb fracture HO
2 301967 301972 101586117 20190129 20190129 87 YR F Rheumatoid arthritis OMALIZUMAB Blood pressure abnormal HO
3 315743 315748 101586117 20190129 20170704 87 YR F Diabetic retinal oedema OMALIZUMAB Forced expiratory volume decreased HO
4 316789 316794 101586117 20190129 20190129 87 YR F Diabetic eye disease OMALIZUMAB Anxiety HO
5 316790 316795 101586117 20190129 20190129 87 YR F Diabetic eye disease OMALIZUMAB Asthma HO
6 317203 317208 101586117 20190129 20190129 87 YR F Chronic hepatitis C OMALIZUMAB Fall HO
7 317204 317209 101586252 20190129 20190129 89 YR F Chronic hepatitis C NITROGLYCERIN Product substitution issue OT
8 335696 335701 101586117 20190129 20170704 87 YR F Diabetic eye disease OMALIZUMAB Patella fracture HO
9 343209 343214 101586117 20190129 20170704 87 YR F Asthma OMALIZUMAB Anxiety HO
drug_dt = {}
drug_ct = {}
df = df.replace(np.nan, None)
df = df.replace('\r', None)
side_list = []
def case2(x):
tmp = []
if x['dr.prod_ai'] in drug_dt.keys():
if x['re_pt'] not in drug_dt[x['dr.prod_ai']]:
drug_dt[x['dr.prod_ai']].append(x['re_pt'])
drug_ct[x['dr.prod_ai']].update({x['re_pt']:1})
else:
drug_ct[x['dr.prod_ai']][x['re_pt']] = drug_ct[x['dr.prod_ai']][x['re_pt']] + 1
else:
drug_dt[x['dr.prod_ai']] = [x['re_pt']]
drug_ct[x['dr.prod_ai']] = {x['re_pt']:1}
side_list.append(tmp)
df1 = df[df.apply(case2, axis=1)]
我想通过代码上方获取字典（drug_dt，drug_ct仅用于计数）。但是当我执行代码时我收到这样的错误
ValueError: cannot index with vector containing NA / NaN values
问题是什么？..