在这 5 个国家在历届奥运会上获得的所有奖牌中, 他们每人获得的奖牌百分比是多少?
我已经使用 panda dataframe 将所有 excel 文件合并到一个文件中,但现在仍然无法找到百分比
Country Gold Silver Bronze Total
0 USA 10 13 11 34
1 China 2 2 4 8
2 UK 1 0 1 2
3 Germany 12 16 8 36
4 Australia 2 0 0 2
0 USA 9 9 7 25
1 China 2 4 5 11
2 UK 0 1 0 1
3 Germany 11 12 6 29
4 Australia 1 0 1 2
0 USA 9 15 13 37
1 China 5 2 4 11
2 UK 1 0 0 1
3 Germany 10 13 7 30
4 Australia 2 1 0 3
Code that i have tried till now
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df= pd.DataFrame()
for f in ['E:\\olympics\\Olympics-2002.xlsx','E:\\olympics\\Olympics-
2006.xlsx','E:\\olympics\\Olympics-2010.xlsx',
'E:\\olympics\\Olympics-2014.xlsx','E:\\olympics\\Olympics-
2018.xlsx']:
data = pd.read_excel(f,'Sheet1')
df = df.append(data)
df.to_excel("E:\\olympics\\combineddata.xlsx")
data = pd.read_excel("E:\\olympics\\combineddata.xlsx")
print(data)
final_Data={}
for i in data['Country']:
x=i
t1=(data[(data.Country==x)].Total).tolist()
print("Name of Country=",i, int(sum(t1)))
final_Data.update({i:int(sum(t1))})
t3=data.groupby('Country').Total.sum()
t2= df['Total'].sum()
t4= t3/t2*100
print(t3)
print(t2)
print(t4)
这是如何得到答案的......现在我需要将其拉入图中,我想将其放入饼图
最佳答案
假设您已将 DataFrame 创建为 'df'
。然后您可以执行以下操作,先分组,然后计算百分比。
df = df.groupby('Country').sum()
df['Gold_percent'] = (df['Gold'] / df['Gold'].sum()) * 100
df['Silver_percent'] = (df['Silver'] / df['Silver'].sum()) * 100
df['Bronze_percent'] = (df['Bronze'] / df['Bronze'].sum()) * 100
df['Total_percent'] = (df['Total'] / df['Total'].sum()) * 100
df.round(2)
print (df)
输出如下:
Gold Silver Bronze ... Silver_percent Bronze_percent Total_percent
Country ...
Australia 5 1 1 ... 1.14 1.49 3.02
China 9 8 13 ... 9.09 19.40 12.93
Germany 33 41 21 ... 46.59 31.34 40.95
UK 2 1 1 ... 1.14 1.49 1.72
USA 28 37 31 ... 42.05 46.27 41.38
关于python - 使用 Pandas DataFrame 计算百分比,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/63777930/