Python 3 解法, 执行用时: 762ms, 内存消耗: 524288KB, 提交时间: 2022-07-04

import pandas as pd
nowcoder = pd.read_csv('nowcoder.csv')
df = nowcoder.groupby(['result'])['question_id'].count()
print(df)

Python 3 解法, 执行用时: 784ms, 内存消耗: 524288KB, 提交时间: 2022-07-15

import pandas as pd
nowcoder = pd.read_csv('nowcoder.csv')
print(nowcoder.groupby(['result']).result.count())

Python 3 解法, 执行用时: 785ms, 内存消耗: 524288KB, 提交时间: 2022-07-12

import pandas as pd
nowcoder = pd.read_csv('nowcoder.csv')
print(nowcoder.value_counts('result'))

Python 3 解法, 执行用时: 785ms, 内存消耗: 524288KB, 提交时间: 2022-06-28

import pandas as pd
nowcoder = pd.read_csv('nowcoder.csv')

print('result\n',nowcoder['result'].value_counts())

Python 3 解法, 执行用时: 787ms, 内存消耗: 524288KB, 提交时间: 2022-07-21

import pandas as pd
nowcoder = pd.read_csv('nowcoder.csv')
print('result')
print(nowcoder['result'].value_counts())
#count前面直接是数据集？