使用if语句将for循环的结果附加到Python中的Pandas Dataframe

Question

我正在用Python编写脚本，以在选定文件夹中的一堆.txt文件中搜索选定的术语（单词/成对单词，句子），并打印出包含选定内容的.txt文件的名称术语。目前使用os模块可以正常工作：

live/.*?/(?=[0-9])

输出将是这样的：

Replace : live/.*?/([0-9])
Replace with : live/my-new-text/\1

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

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)

这怎么办？

Answer 1

在下面的code中，新行用'*'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