如何获取groupby total，然后计算数据帧列的百分比

Question

我会很感激你的帮助，因为我不用再上网或玩游戏了。agg正在帮助我解决这个问题。 我有一个选举结果的数据框。我已按市政当局和PartyName分组，以获得市政当局中每个政党的总投票数，在我重置索引后，它看起来像以下片段：

         Municipality                           PartyName  TotalValidVotes
0  BUF - Buffalo City  AFRICAN CHRISTIAN DEMOCRATIC PARTY             2519
1  BUF - Buffalo City        AFRICAN INDEPENDENT CONGRESS            15600
2  BUF - Buffalo City           AFRICAN NATIONAL CONGRESS           268052
3  BUF - Buffalo City              CONGRESS OF THE PEOPLE             3913
4  BUF - Buffalo City                 DEMOCRATIC ALLIANCE           106790

我现在想计算一个城市的每个政党在总投票数中所占的百分比，但我不知道如何计算每个城市的投票总数，所以我可以计算百分比。 我觉得这在熊猫身上应该很容易做到，但我不知所措。提前谢谢

Answer 1

首先需要按两个变量（Municipality和PartyName）分组，然后按结果聚合数据帧的第一个索引（level=0）分组，然后计算每个组（.apply(...)）上的百分比

from io import StringIO
import pandas as pd

s = """Municipality    PartyName   TotalValidVotes
BUF - Buffalo City  AFRICAN CHRISTIAN DEMOCRATIC PARTY  2519
BUF - Buffalo City  AFRICAN INDEPENDENT CONGRESS    15600
BUF - Buffalo City  AFRICAN NATIONAL CONGRESS   268052
BUF - Buffalo City  CONGRESS OF THE PEOPLE  3913
BUF - Buffalo City  DEMOCRATIC ALLIANCE  106790
"""

df = pd.read_csv(StringIO(s), sep="\s\s+", engine="python")

df = (
    df.groupby(["Municipality", "PartyName"])
    .agg({"TotalValidVotes": "sum"})
    .groupby(level=0)
    .apply(lambda g: 100 * g / g.sum())
    .reset_index()
)

产生：

         Municipality                           PartyName  TotalValidVotes
0  BUF - Buffalo City  AFRICAN CHRISTIAN DEMOCRATIC PARTY         0.634710
1  BUF - Buffalo City        AFRICAN INDEPENDENT CONGRESS         3.930719
2  BUF - Buffalo City           AFRICAN NATIONAL CONGRESS        67.540832
3  BUF - Buffalo City              CONGRESS OF THE PEOPLE         0.985955
4  BUF - Buffalo City                 DEMOCRATIC ALLIANCE        26.907784

此代码段应该可以工作，而无需创建中间数据帧