[英]Pandas Sorting a column after grouping by two columns
I have a dataframe df
as:我有一个 dataframe
df
为:
Election Year Votes Vote % Party Region
0 2000 42289 29.40 Janata Dal (United) A
1 2000 27618 19.20 Rashtriya Janata Dal A
2 2000 20886 14.50 Bahujan Samaj Party B
3 2000 17747 12.40 Congress B
4 2000 14047 19.80 Independent C
5 2000 17047 10.80 JLS C
6 2005 8358 15.80 Janvadi Party A
7 2005 4428 13.10 Independent A
8 2005 1647 1.20 Independent B
9 2005 1610 11.10 Independent B
10 2005 1334 15.06 Nationalist C
11 2005 1834 18.06 NJM C
12 2010 21114 20.80 Independent A
13 2010 1042 10.5 Bharatiya Janta Dal A
14 2010 835 0.60 Independent B
15 2010 14305 15.50 Independent B
16 2010 22211 17.70 Congress C
16 2010 2211 17.70 INC C
I have used following code to sort "Vote %" in descending order after grouping by "Election year" and "Region".在按“选举年份”和“地区”分组后,我使用以下代码按降序对“投票百分比”进行排序。 But it is giving an error.
但它给出了一个错误。
df1 = df.groupby(['Election Year','Region'])sort_values('Vote %', ascending = False).reset_index()
How to correct the error as I want to get the top 3 "Party" of each region in each year after the sorting.如何纠正错误,因为我想在排序后获得每个地区每年的前 3 名“派对”。
You can perform the grouping and the in-group sorting through sort
itself:您可以通过
sort
本身执行分组和组内排序:
df1 = df.sort_values(['Election Year','Region', 'Vote %'], ascending=False)
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