Python 3 解法, 执行用时: 781ms, 内存消耗: 524288KB, 提交时间: 2022-07-25

import pandas as pd

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

res = Nowcoder['Level'].mode()
print(pd.DataFrame(res,columns = ['Level']))

Python 3 解法, 执行用时: 782ms, 内存消耗: 524288KB, 提交时间: 2022-07-26

import pandas as pd

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

print(

Nowcoder.loc[:,['Level']].mode()

)

Python 3 解法, 执行用时: 782ms, 内存消耗: 524288KB, 提交时间: 2022-07-22

import pandas as pd

Nowcoder = pd.read_csv('Nowcoder.csv', sep=',')
df=Nowcoder['Level'].mode()
print(pd.DataFrame(df,columns=['Level']))

Python 3 解法, 执行用时: 790ms, 内存消耗: 524288KB, 提交时间: 2022-07-26

import pandas as pd

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

Mode=Nowcoder['Level'].mode()
print(pd.DataFrame(Mode,columns=['Level']))

Python 3 解法, 执行用时: 797ms, 内存消耗: 524288KB, 提交时间: 2022-07-21

import pandas as pd

Nowcoder = pd.read_csv('Nowcoder.csv', sep=',')
res = Nowcoder.Level.mode()
print(pd.DataFrame(res,columns=["Level"]))