Python中如何将f-string格式化打印的输出内容插入DataFrame

你原有代码存在两处语法错误，修正后即可实现需求：

错误点说明 #

• 变量定义时命名为name，后续zip调用时误写为names，变量名不匹配
• 往列表L追加内容时，格式化字符串未加f前缀，也没有用引号包裹，属于语法错误

完整可运行代码 #

import pandas as pd

L = []
# 统一变量名为names，和后续调用保持一致
names = ['a', 'b', 'c']
dates = ['Jan', 'Feb', 'March']
event = ['Marriage', 'Office event', 'Birthday']
for a, b, c in zip(names, dates, event):
    format_content = f'I met {a} on {b} at this {c}'
    print(format_content)
    L.append(format_content)

df = pd.DataFrame(L, columns=['string_values'])
print(df)

可选优化写法（无需显式循环追加） #

可以直接用列表推导式生成格式化后的列表，代码更简洁：

import pandas as pd

names = ['a', 'b', 'c']
dates = ['Jan', 'Feb', 'March']
event = ['Marriage', 'Office event', 'Birthday']

# 列表推导式直接生成所有格式化字符串
format_list = [f'I met {a} on {b} at this {c}' for a, b, c in zip(names, dates, event)]
df = pd.DataFrame(format_list, columns=['string_values'])
print(df)

输出效果 #

逐行打印的格式化内容：

I met a on Jan at this Marriage
I met b on Feb at this Office event
I met c on March at this Birthday

生成的DataFrame：

string_values
0     I met a on Jan at this Marriage
1  I met b on Feb at this Office event
2  I met c on March at this Birthday

内容的提问来源于stack exchange，提问作者Cpt.Kitkat