Question

我尝试如下合并两个数据集（DataFrames）：

D1 = pd.DataFrame({'Village':['Ampil','Ampil','Ampil','Bachey','Bachey','Center','Center','Center','Center'], 'Code':[123,324,190,453,321,786,456,234,987]})

D2 = pd.DataFrame({'Village':['Ampil','Ampil','Bachey','Bachey','Center','Center'],'Lat':[11.563,13.278,12.637,11.356,12.736,13.456], 'Long':[102.234,103.432,105.673,103.539,103.873,102.983]})

我想根据“乡村”列将两者合并。我希望输出如下所示：

D3 = pd.DataFrame({'Village': ['Ampil','Ampil','Bachey','Bachey','Center','Center'],'Code':[123,324,453,321,786,456],'Lat':[11.563,13.278,12.637,11.356,12.736,13.456], 'Long':[102.234,103.432,105.673,103.539,103.873,102.983]})

我尝试了加入，合并和合并，但都不符合目的。我需要一个适用于较大数据的代码。如果有人可以帮忙，我会非常感激。

Answer 1

一种方法是先通过Village为两个初始df创建一个运行中的累加器，然后通过Village和count合并：

df1['count'] = df1.groupby('Village').cumcount()
df2["count"] = df2.groupby('Village').cumcount()

print (df2.merge(df1,on=["Village","count"],how="left").drop("count",axis=1))

#
      Village     Lat     Long  Code
0   Ampil  11.563  102.234   123
1   Ampil  13.278  103.432   324
2  Bachey  12.637  105.673   453
3  Bachey  11.356  103.539   321
4  Center  12.736  103.873   786
5  Center  13.456  102.983   456

合并/合并名称重复的两个数据集

1 个答案: