我有一个DataFrame,必须在三个级别上分组,然后返回最高值.每天都有每个独特价值的回报,我想找到最高的回报和细节.
data.groupby(['Company','Product','Industry'])['ROI'].idxmax()
回报表明:
Target - Dish Soap - House had a 5% ROI on 9/17
Best Buy - CDs - Electronics had a 3% ROI on 9/3
是最高的.
这是一些示例数据:
+----------+-----------+-------------+---------+-----+
| Industry | Product | Industry | Date | ROI |
+----------+-----------+-------------+---------+-----+
| Target | Dish Soap | House | 9/17/13 | 5% |
| Target | Dish Soap | House | 9/16/13 | 2% |
| BestBuy | CDs | Electronics | 9/1/13 | 1% |
| BestBuy | …