Python 3 解法, 执行用时: 791ms, 内存消耗: 524288KB, 提交时间: 2022-07-26

import pandas as pd

Nowcoder = pd.read_csv('Nowcoder.csv', sep=',')
print(int(Nowcoder[Nowcoder['Num_of_exercise'] >=10]['Level'].median()))

Python 3 解法, 执行用时: 792ms, 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[Nowcoder['Num_of_exercise']>=10].Level.quantile(.5).astype('int'))

Python 3 解法, 执行用时: 792ms, 内存消耗: 524288KB, 提交时间: 2022-07-25

import pandas as pd

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

print(int(Nowcoder[Nowcoder['Num_of_exercise'] >=10]['Level'].median()))

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=',')
Nowcoder_a=Nowcoder.query("Num_of_exercise>=10")
print(Nowcoder_a.Level.quantile(0.5).astype('int32'))

Python 3 解法, 执行用时: 796ms, 内存消耗: 524288KB, 提交时间: 2022-07-25

import pandas as pd

Nowcoder = pd.read_csv('Nowcoder.csv', sep=',')
print(int(Nowcoder[Nowcoder['Num_of_exercise']>=10]['Level'].median()))

# print(Nowcoder[Nowcoder['Num_of_exercise']>=10]['Level'].median().astype=int)