Pandas 根据列将两行合并为一行
Pandas Merge two rows into a single row based on columns
我有 2 行看起来像这样,
------------------------------
DealName | Target | Acquirer |
-----------------------------
ABC-XYZ | ABC | None |
------------------------------
ABC-XYZ | None | XYZ |
------------------------------
我希望将它们合并为一个:
------------------------------
DealName | Target | Acquirer |
-----------------------------
ABC-XYZ | ABC | XYZ |
------------------------------
不确定如何在 Pandas 中完成此操作。任何指针将不胜感激!提前致谢
IIUC
df.replace('None','').groupby('DealName',as_index=False).agg(''.join)
Out[25]:
DealName Target Acquirer
0 ABC-XYZ ABC XYZ
我有 2 行看起来像这样,
------------------------------
DealName | Target | Acquirer |
-----------------------------
ABC-XYZ | ABC | None |
------------------------------
ABC-XYZ | None | XYZ |
------------------------------
我希望将它们合并为一个:
------------------------------
DealName | Target | Acquirer |
-----------------------------
ABC-XYZ | ABC | XYZ |
------------------------------
不确定如何在 Pandas 中完成此操作。任何指针将不胜感激!提前致谢
IIUC
df.replace('None','').groupby('DealName',as_index=False).agg(''.join)
Out[25]:
DealName Target Acquirer
0 ABC-XYZ ABC XYZ