如何在不使用Pandas和Numpy的Python中将.log文件转为.csv？

直接用Python内置文件操作就能完成需求，无需依赖Pandas或Numpy：

基础实现（保留空格分隔） #

如果需要和你示例中一致的空格分隔格式，用这段代码：

log_path = "your_input.log"
csv_path = "your_output.csv"

# 定义表头
header = "A  B  C  D\n"

# 读取日志文件内容
with open(log_path, 'r', encoding='utf-8') as f:
    lines = f.readlines()

# 写入CSV文件：先写表头，再追加原内容
with open(csv_path, 'w', encoding='utf-8') as f:
    f.write(header)
    f.writelines(lines)

标准CSV格式（逗号分隔） #

如果需要生成通用的逗号分隔CSV（更适配Excel、Google Sheets等工具），可以修改为：

log_path = "your_input.log"
csv_path = "your_output.csv"

header = "A,B,C,D\n"

with open(log_path, 'r', encoding='utf-8') as f:
    # 将每行的空格替换为逗号
    csv_lines = [line.strip().replace(' ', ',') + '\n' for line in f]

with open(csv_path, 'w', encoding='utf-8') as f:
    f.write(header)
    f.writelines(csv_lines)

额外优化（处理多空格分隔） #

如果日志文件中存在多个连续空格作为分隔符，可借助正则模块统一替换：

import re

log_path = "your_input.log"
csv_path = "your_output.csv"

header = "A,B,C,D\n"

with open(log_path, 'r', encoding='utf-8') as f:
    csv_lines = [re.sub(r'\s+', ',', line.strip()) + '\n' for line in f]

with open(csv_path, 'w', encoding='utf-8') as f:
    f.write(header)
    f.writelines(csv_lines)

内容的提问来源于stack exchange，提问作者Soujit Mukherjee