[英]Sort column for each index for multi-index data frame
我有一個具有多級索引的數據框。 這是它的片段:
import pandas as pd
data = {'EVENT_ID': [112335580,112335580,112335580,112335580,112335580,112335580,112335580,112335580, 112335582,
112335582,112335582,112335582,112335582,112335582,112335582,112335582,112335582,112335582,
112335582,112335582,112335582],
'SELECTION_ID': [6356576,2554439,2503211,6297034,4233251,2522967,5284417,7660920,8112876,7546023,8175276,8145908,
8175274,7300754,8065540,8175275,8106158,8086265,2291406,8065533,8125015],
'BSP': [5.080818565,6.651493872,6.374683435,24.69510797,7.776082305,11.73219964,270.0383021,4,8.294425408,335.3223613,
14.06040142,2.423340019,126.7205863,70.53780982,21.3328554,225.2711962,92.25113066,193.0151362,3.775394142,
95.3786641,17.86333041],
'WIN_LOSE':[1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]}
df = pd.DataFrame(data, columns=['EVENT_ID', 'SELECTION_ID', 'BSP','WIN_LOSE'])
df
df.set_index(['EVENT_ID', 'SELECTION_ID'], inplace=True)
df.sortlevel(level=0, ascending=True, sort_remaining=True)
我想分別為每個EVENT_ID索引排序BSP列。
我嘗試過以下方法:
data.assign(BSP=data.groupby(level=0).rank(ascending=False))
這不起作用,因為它弄亂了索引並且似乎無論如何都不對列進行排序。
我也嘗試過對列進行排序,但這顯然也只是弄亂了索引。
對於每個事件ID,這將按BSP升序排序:
df = pd.DataFrame(data, columns=['EVENT_ID', 'SELECTION_ID', 'BSP','WIN_LOSE'])
df = df.sort_values(["EVENT_ID","BSP"])
df.set_index(['EVENT_ID', 'SELECTION_ID'], inplace=True)
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