给定的数据框：
+-------+------+-------+
|Product|Amount|Country|
+-------+------+-------+
| Banana| 1000| USA|
|Carrots| 1500| USA|
| Beans| 1600| USA|
| Orange| 2000| USA|
| Orange| 2000| USA|
| Banana| 400| China|
|Carrots| 1200| China|
| Beans| 1500| China|
| Orange| 4000| China|
| Banana| 2000| Canada|
|Carrots| 2000| Canada|
| Beans| 2000| Mexico|
+-------+-----+-------+
所需数据框：
+-------+------+-----+------+----+
|Product|Canada|China|Mexico| USA|
+-------+------+-----+------+----+
| Orange| null| 4000| null|4000|
| Beans| null| 1500| 2000|1600|
| Banana| 2000| 400| null|1000|
|Carrots| 2000| 1200| null|1500|
谁能帮我解决这个问题？？
答案 0 :(得分：0)
使用pivot_table：
>>> df.pivot_table(index='Product', columns='Country', values='Amount', aggfunc=sum)
Country Canada China Mexico USA
Product
Banana 2000.0 400.0 NaN 1000.0
Beans NaN 1500.0 2000.0 1600.0
Carrots 2000.0 1200.0 NaN 1500.0
Orange NaN 4000.0 NaN 4000.0