Python 3 解法, 执行用时: 797ms, 内存消耗: 524288KB, 提交时间: 2022-07-25

import pandas as pd

Nowcoder1 = pd.read_csv('Nowcoder1.csv', sep=',')
Nowcoder2 = pd.read_csv('Nowcoder2.csv', sep=',')
df=pd.merge(Nowcoder1, Nowcoder2, on='Nowcoder_ID', how='inner')
print(df[['Name','Num_of_exercise','Number_of_submissions']])

Python 3 解法, 执行用时: 801ms, 内存消耗: 524288KB, 提交时间: 2022-07-25

import pandas as pd

Nowcoder1 = pd.read_csv('Nowcoder1.csv', sep=',')
Nowcoder2 = pd.read_csv('Nowcoder2.csv', sep=',')

data=pd.merge(Nowcoder1,Nowcoder2,how='inner',on='Nowcoder_ID')
print(data[['Name','Num_of_exercise','Number_of_submissions']])

Python 3 解法, 执行用时: 805ms, 内存消耗: 524288KB, 提交时间: 2022-07-21

import pandas as pd

Nowcoder1 = pd.read_csv('Nowcoder1.csv', sep=',')
Nowcoder2 = pd.read_csv('Nowcoder2.csv', sep=',')

data = pd.merge(Nowcoder1, Nowcoder2, on='Nowcoder_ID')
print(data[['Name', 'Num_of_exercise', 'Number_of_submissions']])

Python 3 解法, 执行用时: 807ms, 内存消耗: 524288KB, 提交时间: 2022-07-22

import pandas as pd

Nowcoder1 = pd.read_csv('Nowcoder1.csv', sep=',')
Nowcoder2 = pd.read_csv('Nowcoder2.csv', sep=',')
qs=pd.merge(Nowcoder1,Nowcoder2,on='Nowcoder_ID',how='outer')
print(qs[['Name','Num_of_exercise','Number_of_submissions']])

Python 3 解法, 执行用时: 811ms, 内存消耗: 524288KB, 提交时间: 2022-07-25

import pandas as pd

Nowcoder1 = pd.read_csv('Nowcoder1.csv', sep=',')
Nowcoder2 = pd.read_csv('Nowcoder2.csv', sep=',')

df=pd.merge(Nowcoder1,Nowcoder2, on="Nowcoder_ID", how="inner").reset_index(drop=True)
print(df[["Name","Num_of_exercise","Number_of_submissions"]])