I have an issue : Reading Multiple Text files using Multi-Threading by python-CodePudding

Hello Friends, I hope someone check my code and helping me on this issue.

I want to read from multiple text files (at least 4) sequentially and print their content on the screen

First time not using Threading
Measure the elapsed time in both cases multiple time and calculate the average

this my Code:

import pandas as pd
from datetime import datetime 

start_time = datetime.now() 

text1 = pd.read_csv('alice_in_wonderland.txt', delimiter = "\t")
print(text1)
text2 = pd.read_csv('On-Sunset-Highways-Thomas-D-Murph.txt', delimiter = "\t")
print(text2)
text3 = pd.read_csv('History-of-Texas-Lan-Bill-Allcorn.txt', delimiter = "\t")
print(text3)
text4 = pd.read_csv('A-Secret-of-the-Sea--T-W-Thomas.txt', delimiter = "\t")
print(text4)

time_elapsed = datetime.now() - start_time 

print('Time elapsed (hh:mm:ss.ms) {}'.format(time_elapsed))

From Here I have an issue how I make a multithreading by python. I want to make a 4 threads to read from text files and print on the screen , Also I want to

Measure the elapsed time multiple times.
record the results.
calculate the average time. Note: number of files = 4 text files.

CodePudding user response：

Here's a code snippet that creates four threads to print the contents of four files (the comments have addressed the timeit module already, so I've treated the timing issue as resolved):

import pandas as pd
import threading

def print_text(filename):
    text = pd.read_csv(filename, delimiter = "\t")
    print(text)

if __name__ == "__main__":
    filenames = ["test1.txt", "test2.txt", "test3.txt", "test4.txt"]

    # Create thread for each filename.
    threads = [threading.Thread(target=print_text, args=(filename,)) for filename in filenames]

    # Start execution of each thread.
    for thread in threads:
        thread.start()
    
    # Join threads when execution is complete.
    for thread in threads:
        thread.join()