我有以下数据框:
stores = [['AA', 12, 'Red'], ['BB', 13, 'Red'], ['BB', 14, 'Red'], ['BB', 15, 'Red']]
visits = [['BB', 13, 'Green'], ['BB', 14, 'Blue']]
stores_df = pd.DataFrame(data=stores, columns=['retailer', 'store', 'color'])
stores_df.set_index(['retailer', 'store'], inplace=True)
visits_df = pd.DataFrame(data=visits, columns=['retailer', 'store', 'color'])
visits_df.set_index(['retailer', 'store'], inplace=True)
color
retailer store
BB 13 Green
14 Blue
color
retailer store
AA 12 Red
BB 13 Red
14 Red
15 Red
我如何合并它们以获得以下结果:
color
retailer store
AA 12 Red
BB 13 Green
14 Blue
15 Red
最佳答案
您可以使用更新
:
In [41]: stores_df.update(visits_df)
In [42]: stores_df
Out[42]:
color
retailer store
AA 12 Red
BB 13 Green
14 Blue
15 Red
关于python - 合并具有重叠列的数据框,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/38369638/