Python 3 解法, 执行用时: 787ms, 内存消耗: 524288KB, 提交时间: 2022-07-25

import pandas as pd

Nowcoder = pd.read_csv('Nowcoder.csv', sep=',')
max_num = Nowcoder.groupby(by=['Graduate_year'])['Achievement_value'].max()
print(max_num)

Python 3 解法, 执行用时: 788ms, 内存消耗: 524288KB, 提交时间: 2022-07-22

import pandas as pd

Nowcoder = pd.read_csv('Nowcoder.csv', sep=',')
print(Nowcoder.groupby(by='Graduate_year')['Achievement_value'].max())

Python 3 解法, 执行用时: 803ms, 内存消耗: 524288KB, 提交时间: 2022-07-25

import pandas as pd

Nowcoder = pd.read_csv('Nowcoder.csv', sep=',')
print(Nowcoder.groupby('Graduate_year')['Achievement_value'].max())
      

Python 3 解法, 执行用时: 808ms, 内存消耗: 524288KB, 提交时间: 2022-07-25

import pandas as pd

Nowcoder = pd.read_csv('Nowcoder.csv', sep=',')
graduate_num = Nowcoder.groupby('Graduate_year')['Achievement_value'].max()
print(graduate_num)

Python 3 解法, 执行用时: 812ms, 内存消耗: 524288KB, 提交时间: 2022-07-26

import pandas as pd
Nowcoder = pd.read_csv('Nowcoder.csv', sep=',')
graduate_num = Nowcoder.groupby('Graduate_year')['Achievement_value'].max()
print(graduate_num)