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.

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 threadingdef 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()