[英]Pandas Dataframe Groupby multiple columns
我有以下DataFrame:
FACTORY_ID SUPPLIER_ID DELIVERY_DATETIME
A 1 05/09/2015 11:00
A 1 05/09/2015 11:00
A 2 05/09/2015 11:00
A 2 08/09/2015 11:00
A 1 08/09/2015 11:00
A 1 08/09/2015 11:00
A 1 08/09/2015 11:00
A 2 08/09/2015 11:00
A 2 13/09/2015 11:00
A 3 13/09/2015 11:00
A 3 13/09/2015 11:00
A 3 13/09/2015 11:00
A 3 13/09/2015 11:00
A 3 13/09/2015 11:00
我打算通过使用GroupBy子句来转换,以显示用于呈现的数据的摘要视图。 ( DELIVERY_DATETIME
是一个连接和逗号分隔的列。)此示例中的所需结果:
FACTORY_ID SUPPLIER_ID DELIVERY_DATETIME
A 1 05/09/2015 11:00:00 AM, 08/09/2015 11:00:00 AM
A 2 05/09/2015 11:00:00 AM, 13/09/2015 11:00:00 AM
A 3 13/09/2015 11:00:00 AM
尝试过GroupBy / drop_duplicates,但一直无法得到我想要的东西。 我该怎么做呢?
IIUC groupby
with agg
newdf=df.groupby(['FACTORY_ID','SUPPLIER_ID']).DELIVERY_DATETIME.agg(['first','last'])
newdf.loc[newdf['first']==newdf['last'],'last']=''
newdf
Out[69]:
first last
FACTORY_ID SUPPLIER_ID
A 1 05/09/2015 08/09/2015
2 05/09/2015 13/09/2015
3 13/09/2015
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.