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Create Progress bar.py #1950

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Piombacciaio
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Created a simple program that displays a colored progress bar on the terminal window

Progress bar.py Outdated
@@ -0,0 +1,45 @@
import math, colorama
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I think this is more deployment ready to a public repository.
Here, is the code

import math
import colorama
from colorama import Fore, Style

colorama.init()

def progress_bar(progress, total, color=Fore.CYAN, complete_color=Fore.GREEN):
    percent = 100 * (progress / total)
    bar_length = 50
    completed_length = int(bar_length * (progress / total))
    bar = '█' * completed_length + '-' * (bar_length - completed_length)

    print(f'\r|{color}{bar}{Style.RESET_ALL}| {color}{percent:.2f}%{Style.RESET_ALL}', end='', flush=True)

    if progress == total:
        print(f'\r|{complete_color}{bar}{Style.RESET_ALL}| {complete_color}{percent:.2f}%{Style.RESET_ALL}')

numbers = [x * 5 for x in range(2000, 3000)]
lenght = len(numbers)

progress_bar(0, total=lenght)

results = []
for i, x in enumerate(numbers):
    results.append(math.factorial(x))
    progress_bar(i + 1, total=lenght)

print("\nFactorials calculated successfully!")

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See, this, add this to your code.
Document it more properly if want,
then recommit it.
It will be all good.

# Set the bar progress to 0

for i, x in enumerate(numbers):
#Iterate over the list of ints with enumerate to get both the index "i" (used for progress) and the value of the int "x" to execute the operation
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Improvements made:

Added Style.RESET_ALL after each colored element to ensure the color doesn't carry over to subsequent print statements.
Adjusted the length of the progress bar to a fixed value (50 characters) for better visualization.
Used flush=True in the print statement to ensure real-time printing of the progress bar without buffering.

This improved version provides a clearer and more visually appealing progress bar while calculating factorials for the given numbers.

@Piombacciaio
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Piombacciaio commented Jul 30, 2023

Thanks for the improvements and suggestions Nitkarsh, will fix asap

Updated the program with the suggestions from NitkarshChourasia and added less repetitive comments
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@NitkarshChourasia NitkarshChourasia left a comment

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Good implementations while reiterating.

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@OfficialAhmed OfficialAhmed left a comment

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Didn't try it but looks promising

@NitkarshChourasia
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Indeed.

@AvinashMarkad
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pip install tqdm #

from tqdm import tqdm
import time

Number of iterations for the loop

total_iterations = 100

Create a tqdm instance with the total number of iterations

progress_bar = tqdm(total=total_iterations, desc="Processing")

Simulate a task with a loop

for i in range(total_iterations):
# Perform your task here
time.sleep(0.1) # Simulating some work

# Update the progress bar
progress_bar.update(1)

Close the progress bar

progress_bar.close()

print("Task completed!")

see this program and add in your program

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4 participants