假设您的数据采用此格式..!

year    income
0   2012    $20,000
1   2012    $20,000
2   2013    $10,000
3   2014    $10,000
4   2014    $10,000

• • 代码：-**

import pandas as pd
df1=pd.read_csv('/content/Untitled spreadsheet - Sheet1.csv')
df1['income'] = df1['income'].replace({'\$': '', ',': ''}, regex=True)
df1['income'] = df1['income'].astype(int)
df2=df1.groupby(df1['year']).sum()
print(df2) 
lis=[]
for aggregate in df2['income']:
  lis.append(aggregate)
print(lis)

• • 输出：-**

第一个月

income
year        
2012   40000
2013   10000
2014   20000

print(lis)

[40000, 10000, 20000]