Python—文本文件读入数据帧，然后附加部分文件名

获取了多个文件名为的txt文件，提供了它包含的主题。我需要使用glob读取文件，然后创建一个包含2列的数据框，1-contents和2-topic name（取自文件名）

输出：

content topicName
0                                                       .\54468
1                                                       .\54468
2   In article <sheafferC63zt0.Brs@netcom.com shea...   .\54468
3                                                       .\54468
4                                                       .\54468
5                                                       .\54468
6   It had to happen: the old allegation of the "d...   .\54468

我如何做到这一点

类似于：

import pandas as pd
import glob as gb

def process_file(file):
    with open(file, "r") as f:
        content = f.read()
        topic = file.split('_1')[0] 
        return {"content": content, "topicname": topic}

data = [process_file(file) for file in gb.glob('./*_1*')]

df = pd.DataFrame(data)

---

使用

os.path.basename

获取文件名，然后使用

str.split

Ex:

import glob
import os
import pandas as pd
res = []
for name in gb.glob('./*_1*'):
    with open(name, "r") as f1:
        res.append({'content':f1.read(), "topicname": os.path.basename(name).split('_1')[0]})
df = pd.DataFrame(res)
print(df) 

import pandas as pd
import glob as gb

def process_file(file):
    with open(file, "r") as f:
        content = f.read()
        topic = file.split('_1')[0] 
        return {"content": content, "topicname": topic}

data = [process_file(file) for file in gb.glob('./*_1*')]

df = pd.DataFrame(data)

import glob
import os
import pandas as pd
res = []
for name in gb.glob('./*_1*'):
    with open(name, "r") as f1:
        res.append({'content':f1.read(), "topicname": os.path.basename(name).split('_1')[0]})
df = pd.DataFrame(res)
print(df)