详解Python同时写入多个文件的5种方法

# 同时写入两个文件
with open('file1.txt', 'w') as f1, open('file2.txt', 'w') as f2:
    data = "Hello, World!"
    f1.write(data)
    f2.write(data)

filenames = ['output1.txt', 'output2.txt', 'output3.txt']
files = [open(fname, 'w') for fname in filenames]

​​​​​​​try:
    for line in ["Line 1", "Line 2"]:
        for f in files:
            f.write(line + '\n')
finally:
    # 确保所有文件关闭
    for f in files:
        f.close()

from contextlib import ExitStack

filenames = ['file1.txt', 'file2.txt', 'file3.txt']

​​​​​​​with ExitStack() as stack:
    # 批量进入上下文，自动管理资源
    files = [stack.enter_context(open(fname, 'w')) for fname in filenames]
    for line in ["Data1", "Data2"]:
        for f in files:
            f.write(f"{line}\n")

def write_to_files(data, filenames):
    with ExitStack() as stack:
        files = [stack.enter_context(open(fname, 'w')) for fname in filenames]
        for line in data:
            for f in files:
                f.write(line + '\n')

# 调用示例
write_to_files(["Hello", "CSDN"], ['a.txt', 'b.txt'])

import threading

def write_file(filename, content):
    with open(filename, 'w') as f:
        f.write(content)

threads = []
data = "Multi-threaded data"
for fname in ['file1.txt', 'file2.txt']:
    t = threading.Thread(target=write_file, args=(fname, data))
    threads.append(t)
    t.start()

# 等待所有线程完成
for t in threads:
    t.join()