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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Newlines to commas\n",
"----\n",
"\n",
"Recursively modify the content of `.txt` files in the specified directory and its subdirectories by replacing newlines with commas and spaces. "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"\"\"\"\n",
"This script is designed to process all text files within a specified directory\n",
"and its subdirectories. It modifies the content of each text file by replacing\n",
"newlines with a comma followed by a space.\n",
"\n",
"Functions:\n",
" process_directory(directory): Recursively processes all '.txt' files in the given directory.\n",
"\n",
"Args:\n",
" directory (str): The path to the directory containing the text files to be processed.\n",
"\n",
"Usage:\n",
" Set the 'directory_path' variable to the path of the target directory and run the script.\n",
" The script will modify all '.txt' files within this directory and its subdirectories.\n",
"\"\"\"\n",
"from pathlib import Path\n",
"\n",
"def process_directory(directory):\n",
" \"\"\"\n",
" Process all '.txt' files in the given directory, replacing newlines with a comma and space.\n",
"\n",
" Parameters:\n",
" - directory (str): The path to the directory to process.\n",
" \"\"\"\n",
" # Create a Path object for the directory\n",
" path = Path(directory)\n",
" \n",
" # Use glob pattern to match all .txt files recursively\n",
" for file_path in path.rglob('*.txt'):\n",
" # Read the content of the file\n",
" with open(file_path, 'r') as file:\n",
" content = file.read()\n",
" \n",
" # Replace newline with a comma and space\n",
" modified_content = content.replace('\\n', ', ')\n",
" \n",
" # Write the modified content back to the file\n",
" with open(file_path, 'w') as file:\n",
" file.write(modified_content)\n",
"\n",
"# Directory path\n",
"directory_path = r'C:\\Users\\kade\\Desktop\\training_dir_staging'\n",
"\n",
"# Recursively process the directory and its subdirectories\n",
"process_directory(directory_path)"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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