Python 3 解法, 执行用时: 795ms, 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("Level").size() > 5)

Python 3 解法, 执行用时: 797ms, 内存消耗: 524288KB, 提交时间: 2022-08-03

import pandas as pd
Nowcoder = pd.read_csv('Nowcoder.csv', sep=',')
df=Nowcoder.groupby('Level').size()
df=df[df>5]
print(df)

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

Nowcoder = pd.read_csv('Nowcoder.csv', sep=',')

a = Nowcoder.groupby('Level')['Nowcoder_ID'].count() > 5
 
print(a)

Python 3 解法, 执行用时: 799ms, 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('Level')['Name'].count()>5)

Python 3 解法, 执行用时: 800ms, 内存消耗: 524288KB, 提交时间: 2022-08-06

import pandas as pd

Nowcoder = pd.read_csv('Nowcoder.csv', sep=',')

print(Nowcoder.groupby('Level')['Name'].count()>5)