在几种情况下合并熊猫数据框中的行

Question

我有以下数据框：

ID_number  Name      Date      S_code    S_description 
1          Dani     01/2017      G1       PROCEDURE ON SINGLE VESSEL
1          Dani     01/2017      R56      INSERTION OF THREE VASCULAR STENTS
1          Dani     06/2017      L34      CHOLECYSTECTOMY
2          Alice    03/2015      L12      OTHER CYSTOSCOPY
3          Elle     04/2015      L34      CHOLECYSTECTOMY
3          Elle     04/2015      H6       EXCISION OR DESTRUCTION OF PERITONEAL TISSUE

如果列“ ID_Number”，“名称”和“日期”相同，并且列“ S_code”和“ S_description”将被串联在一起，以便数据看起来像这样，我想合并行：

    ID_number   Name   Date     S_code     S_description 
        1       Dani   01/2017  G1,R56     PROCEDURE ON SINGLE VESSEL,INSERTION OF THREE VASCULAR STENTS
        1       Dani   06/2017    L34      CHOLECYSTECTOMY
        2       Alice  03/2015    L12      OTHER CYSTOSCOPY
        3       Elle   04/2015  L34,H6     CHOLECYSTECTOMY,EXCISION OR DESTRUCTION OF PERITONEAL TISSUE

“ ID_Number”列已排序。

我是Python的新手，在此问题上的任何帮助，我将不胜感激！

Answer 1

在三列上使用pandas groupby，并通过agg方法将pandas字符串cat作为函数传递：

 df.groupby(['ID_number','Name','Date']).agg(lambda x: x.str.cat(sep=','))

                            S_code  S_description
ID_number   Name    Date        
1           Dani    01/2017 G1,R56  PROCEDURE ON SINGLE VESSEL,INSERTION OF THREE ...
                    06/2017 L34     CHOLECYSTECTOMY
2           Alice   03/2015 L12     OTHER CYSTOSCOPY
3           Elle    04/2015 L34,H6  CHOLECYSTECTOMY,EXCISION OR DESTRUCTION OF PER...