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=',')

# df = pd.read_csv("Nowcoder.csv")
# print(df['Name'].str.len())

print(Nowcoder['Name'].str.len())

Python 3 解法, 执行用时: 801ms, 内存消耗: 524288KB, 提交时间: 2022-07-19

import pandas as pd
df = pd.read_csv("Nowcoder.csv")
print(df['Name'].str.len())

Python 3 解法, 执行用时: 802ms, 内存消耗: 524288KB, 提交时间: 2022-08-01

import pandas as pd

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

print(df['Name'].str.len())

Python 3 解法, 执行用时: 802ms, 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['Name'].apply(lambda x:len(x)))

Python 3 解法, 执行用时: 810ms, 内存消耗: 524288KB, 提交时间: 2022-08-03

import pandas as pd

Nowcoder = pd.read_csv("Nowcoder.csv", sep=",")
print(Nowcoder["Name"].astype("str").str.len())