如何一次遍历一行遍历一个数据帧？

Question

数据集：

First_Name Last_Name Location
Green White US
Lew Edward UK
Ravi Kumar India
Naveen Reddy France
Yi Ling Singapore
Xin Yi Taiwan
Ryan Nicholas Singapore

Python代码：

import pandas as pd
import numpy as np

df = pd.read_csv (r'data.csv')

def name():
    for row in df.iterrows():
        name1 = df['First_name']
        name2 = df['Last_name']
        location = df['Location']

while True:
    print(name)

评论：

上面的代码将返回完整的数据帧，并且看起来像一次循环所有df行。 有没有一种方法可以只循环一行？

示例：

loop1 - Green White US
loop2 - Lew Edward UK
loop3 - Ravi Kumar India

Answer 1

iterrows()允许遍历元组索引的行

这是遍历整个数据帧的快速解决方案：

def names():
    for i, row in df.iterrows():
        name1 = row['First_name']
        name2 = row['Last_name']
        location = row['Location']
        print('{} {} {}'.format(name1, name2, location))


names()