通过对两列进行分组并对第三列数据python求和来进行筛选

Question

I have an assignment to do for college, where I need to write a python code that lists years, total won, and total lost of bets that took place.

My data is in a .csv file with headings

Race_Course
Horse Name
Year
Month
Day
Amount_won_lost
Win/Los

I need to print out the following:

Year        Total Won   Total Lost
2016        €xxxxx      €xxxxx
2017        €xxxxx      €xxxxx

I have tried the following:

total = df.groupby(['Year','Win/Loss']).Amount_won_lost.sum().reset_index(level=1)
print(total)

which prints:

Year       Win/Loss     Amount_won_lost
2016.0     lost         115.00
2016.0     won          584.81
2017.0     lost         5.00
2017.0     won          69.31

How do I rearrange the total won and total lost for each year?

Answer 1

添加到最后并且它工作：

print(total_won_2016.pivot(index=None, columns='Win/Loss', values='Amount_won_lost'))