我有一个df看起来类似于此的数据框(除了Visit Date与每个相关的列中的条目数Client ID达到74,并且有几百个唯一Client IDs- 我在这里简化了它).
Visit Date Client ID
2016-05-25 C1009404
2016-06-30 C1009404
2016-07-14 C1009404
2016-07-20 C1009405
2016-08-03 C1009405
2016-08-08 C1009405
2016-08-10 C1009405
2016-08-15 C1009406
2016-08-17 C1009406
2016-08-24 C1009406
我想将它从长到宽转换,使它看起来像这样:
Client ID Visit_1 Visit_2 Visit_3 Visit_4
C1009404 2016-05-25 2016-06-30 2016-07-14
C1009405 2016-07-20 2016-08-03 2016-08-08 2016-08-10
C1009406 2016-08-15 2016-08-17 2016-08-24
我试过以下代码:
df_wide = df.groupby(['Client ID'], as_index=False).agg(lambda x: ', '.join(set(x.astype(str))))
df_wide = pd.concat([df_wide[['Client ID','ENROLLED_DT']], df_wide['VISIT_DT'].str.split(',', expand=True)], axis=1)
df_wide = df_wide.rename(columns={0: 'Visit_1', 1: 'Visit_2', 2: …