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=',')
data = Nowcoder.groupby(['Level','Language'])['Language'].count()
print(data)

Python 3 解法, 执行用时: 793ms, 内存消耗: 524288KB, 提交时间: 2022-07-20

import pandas as pd
data = pd.read_csv('Nowcoder.csv', sep = ',')
print(data.groupby(['Level', 'Language'])['Nowcoder_ID'].count())

Python 3 解法, 执行用时: 794ms, 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','Language'])['Nowcoder_ID'].count())

Python 3 解法, 执行用时: 794ms, 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','Language'])['Nowcoder_ID'].count()
print(a)

Python 3 解法, 执行用时: 797ms, 内存消耗: 524288KB, 提交时间: 2022-07-20

import pandas as pd

Nowcoder = pd.read_csv('Nowcoder.csv', sep=',')
print(Nowcoder.groupby(['Level','Language'])['Nowcoder_ID'].size())