Question

我将数据存储在我需要更改为行的列中。转置方法无法按预期工作。

             reg_no            st_name six  seven  eight  nine  ten
number
1        1200210606      DORIN    18      28      98     78    58
2        1001200049      PRAMA    79      69      59     19    29
3        1205210026      PILLA    47      57      67     27    17
4        1205210064      SUSAT    16      16      66     76    86
5       10002100113     PAVITH    15      85      75     65    15

预期结果将如下所示。

1   1200210606  DORIN   six 18
1   1200210606  DORIN   seven   28
1   1200210606  DORIN   eight   98
1   1200210606  DORIN   nine    78
1   1200210606  DORIN   ten 58
2   1001200049  PRAMA   six 79
2   1001200049  PRAMA   seven   69
2   1001200049  PRAMA   eight   59
2   1001200049  PRAMA   nine    19
2   1001200049  PRAMA   ten 29
3   1205210026  PILLA   six 47
3   1205210026  PILLA   seven   57
3   1205210026  PILLA   eight   67
3   1205210026  PILLA   nine    27
3   1205210026  PILLA   ten 17
4   1205210064  SUSAT   six 16
4   1205210064  SUSAT   seven   16
4   1205210064  SUSAT   eight   66
4   1205210064  SUSAT   nine    76
4   1205210064  SUSAT   ten 86
5   10002100113 PAVITH  six 15
5   10002100113 PAVITH  seven   85
5   10002100113 PAVITH  eight   75
5   10002100113 PAVITH  nine    65
5   10002100113 PAVITH  ten 15

Answer 1

您正在尝试将宽幅面转换为长格式。使用融化功能。

参考：http://pandas.pydata.org/pandas-docs/stable/generated/pandas.melt.html

import pandas as pd

pd.melt(df,['number,reg_no','st_name']) # df is your dataframe object

你可以在融化后使用sort（）来获得确切的顺序

使用重复数据转置列

1 个答案: