python写一个多线程读取并显示大型csv文件的exe工具

以下是一个Python多线程读取和显示大型CSV文件的例子：

import csv
import threading
import time

def read_csv_chunk(filename, start, end):
    with open(filename, 'r') as f:
        reader = csv.reader(f)
        for i, row in enumerate(reader):
            if i >= start and i < end:
                print(row)

def read_csv_multithreaded(filename, num_threads):
    with open(filename, 'r') as f:
        num_lines = sum(1 for line in f)
        
    chunk_size = num_lines // num_threads
    threads = []
    
    for i in range(num_threads):
        start = i * chunk_size
        end = start + chunk_size
        
        if i == num_threads - 1:
            end = num_lines
        
        t = threading.Thread(target=read_csv_chunk, args=(filename, start, end))
        threads.append(t)
        
    for t in threads:
        t.start()
        
    for t in threads:
        t.join()

if __name__ == '__main__':
    start_time = time.time()
    read_csv_multithreaded('large_file.csv', 4)
    end_time = time.time()
    print('Time taken:', end_time - start_time)

这个例子使用Python的CSV模块来读取CSV文件。它首先计算文件中的总行数，然后将文件分成多个块并在不同的线程中读取每个块。最后，它等待所有线程完成后输出所花费的总时间。