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如何用Python3.6.4提取多行9个空格后内容并输出至两个文本文件

Solution for Batch Processing Text Files with Python 3.6.4

Got it, let's work through this problem together. I've put together a Python 3.6.4-compatible script that handles batch processing of your text files, extracts content after 9 spaces per line, skips lines containing personal:01, and splits the final results into two output files.

The Script

import os

def process_files(input_files, output_file1, output_file2):
    processed_lines = []
    for file_path in input_files:
        # Skip files that don't exist
        if not os.path.isfile(file_path):
            print(f"Oops, {file_path} doesn't exist — skipping this one.")
            continue
        
        with open(file_path, 'r', encoding='utf-8') as input_file:
            for line in input_file:
                # Skip lines with 'personal:01'
                if 'personal:01' in line.strip():
                    continue
                
                # Extract content after 9 characters (adjust if you mean 9 consecutive spaces)
                if len(line) >= 9:
                    # Take everything after the 9th character
                    extracted_content = line[9:].rstrip('\n')
                    processed_lines.append(extracted_content)
                else:
                    # Optional: Handle lines shorter than 9 chars — here we keep the whole line
                    processed_lines.append(line.rstrip('\n'))
    
    # Split processed lines into two equal-ish parts
    split_point = len(processed_lines) // 2
    first_half = processed_lines[:split_point]
    second_half = processed_lines[split_point:]
    
    # Write to first output file
    with open(output_file1, 'w', encoding='utf-8') as out1:
        out1.write('\n'.join(first_half) + '\n')
    
    # Write to second output file
    with open(output_file2, 'w', encoding='utf-8') as out2:
        out2.write('\n'.join(second_half) + '\n')

# --------------------------
# Replace these with your files!
# --------------------------
if __name__ == "__main__":
    # List all your input text files here
    YOUR_INPUT_FILES = [
        "data1.txt",
        "data2.txt",
        "more_files_here.txt"
    ]
    
    # Name your output files
    OUTPUT_FILE_1 = "results_part1.txt"
    OUTPUT_FILE_2 = "results_part2.txt"
    
    # Run the processing
    process_files(YOUR_INPUT_FILES, OUTPUT_FILE_1, OUTPUT_FILE_2)
    print(f"Done! Check {OUTPUT_FILE_1} and {OUTPUT_FILE_2} for your results.")

Key Notes & Adjustments

  • 9 Spaces vs 9 Characters: The script above extracts content after the 9th character (regardless of what those first 9 are). If you specifically need to extract content only after 9 consecutive leading spaces, replace the extraction part with this:
    # Check if line starts with 9 spaces
    if line.startswith('         '):  # That's 9 spaces!
        extracted_content = line[9:].rstrip('\n')
        processed_lines.append(extracted_content)
    else:
        # Optional: Skip lines without 9 leading spaces, or keep them — adjust as needed
        continue
    
  • Encoding: If your text files use a different encoding (like gbk for Chinese), update the encoding parameter in open() calls to match.
  • Short Lines: The script keeps lines shorter than 9 characters. If you want to skip these instead, just remove the else block and the line that appends the short line.

How to Use

  1. Replace YOUR_INPUT_FILES with the full or relative paths to all your text files.
  2. Set OUTPUT_FILE_1 and OUTPUT_FILE_2 to your desired output file names.
  3. Run the script with Python 3.6.4 — it’ll process all files, skip the unwanted lines, split the results, and save them to your two output files.

内容的提问来源于stack exchange,提问作者Raj Banra

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最近更新时间:2026.05.19 09:04:40