将带有 if 语句的 for 循环的结果附加到 Python 中的 Pandas Dataframe

Question

我正在用 Python 编写一个脚本，用于在选定文件夹中的一堆 .txt 文件中搜索选定的术语（单词/单词、句子），并打印出包含选定项的 .txt 文件的名称学期。目前使用 os 模块工作得很好：

import os

dirname = '/Users/User/Documents/test/reports'

search_terms = ['Pressure']
search_terms = [x.lower() for x in search_terms]

for f in os.listdir(dirname):
    with open(os.path.join(dirname,f), "r", encoding="latin-1") as infile:
        text =  infile.read()

    if all(term in text for term in search_terms):
        print (f)

输出将是这样的：

3003.txt
3002.txt
3006.txt
3008.txt

我想将这些结果作为字符串列附加到 Pandas Dataframe 中，但是当我尝试这样做时，我收到了错误消息：

lst = []

    if all(term in text for term in search_terms):
        lst.append(f)
        df = pd.DataFrame(lst)
        print (f)

如何做到这一点？

Answer 1

在code 下面的新行由“*”表示。

问题代码

import os
import pandas as pd # new line * * *
import numpy as np # new line * * *

dirname = '/Users/User/Documents/test/reports'

search_terms = ['Pressure']
search_terms = [x.lower() for x in search_terms]

# Create empty dataframe to store file names # new line * * *
df = pd.DataFrame()  # new line * * *

for f in os.listdir(dirname):
    with open(os.path.join(dirname,f), "r", encoding="latin-1") as infile:
        text =  infile.read()

    if all(term in text for term in search_terms):
        print (f)
        # Store value 'f' inside a dataframe column
        df = df.append(pd.DataFrame({'file_names': ['new_file.txt']}), ignore_index=True)

示例代码

f = ['3003.txt', '3002.txt', '3006.txt', '3008.txt']
df = pd.DataFrame({'file_names': f})
df = df.append(pd.DataFrame({'file_names': ['new_file.txt']}), ignore_index=True)
df