Skip to main content

Progress bar

Project description

py-progress

Overview: py-progress is a Python library that allows you to easily display progress bar in your console while working with files and scripts. It provides customizable and visually appealing progress bars that help track the progress of ongoing tasks, making it easier for users to manage the execution of scripts or programs.

Features:

  • Customizable text and color: Customize text, color, and background color for the progress bar to match your program's aesthetics.
  • Time estimation: It can estimate the time remaining to finish tasks, keeping users updated on the expected duration.
  • Easy integration: It can be integrated into your existing Python projects and scripts with minimal setup.

Structure: py-progress is composed of a single Python file - progress.py, which includes two main classes.

  1. TextStyle: This class is responsible for handling and formatting text, color, and background color for the progress bar.
  2. ProgressBar: This class measures and displays the progress of ongoing tasks, supporting a progress bar, calculations, and time estimations.

Usage: To start using the py-progress library, you must first import the required classes from the py_progress package. Then, create an instance of the ProgressBar class, passing the total number of parts to be completed. To update the progress, call the progress() or progress_with_time() methods with the appropriate arguments.

Example:

from py_progress.progress import ProgressBar
from py_progress.progress import TextStyle

# Initialize TextStyle
text_style = TextStyle()

# Create an instance of ProgressBar
progress = ProgressBar(part=100)

# Update progress without time estimation
progress.progress("Task One")

# Update progress with time estimation
progress.progress_with_time("Task Two")

By incorporating py-progress into your Python projects, developers can enhance user experience by providing a clear visual indication of the progress of their tasks.

py-progress Documentation

py-progress is a lightweight Python library for displaying progress bars in various environments. It aims to provide an easy and universal way to integrate progress bars into your projects.

progress.py:

This Python module provides a simple progress bar to track the progress of tasks. It allows you to display the percentage of completion, custom text, and optionally, estimated time remaining.

Usage

Before using the progress bar in your project, make sure you import the necessary components:

from progress import ProgressBar, TextStyle
from colorama import Fore, Back, Style, init

Call init() method to initialize Colorama:

init()

Create a new instance of ProgressBar class specifying the total parts of the task:

progress_bar = ProgressBar(part)

There are two methods available for the ProgressBar class:

  1. progress(name) - Updates the progress bar with the given name of the task.
  2. progress_with_time(name) - Updates the progress bar with the given name of the task and also displays the estimated time remaining for the task to be completed.

Here's a simple example of using the ProgressBar class:

from progress import ProgressBar, TextStyle
from time import sleep

init()

# Create ProgressBar instance
progress_bar = ProgressBar(part=100)

# Update progress with an example task without time tracking
for i in range(100):
    progress_bar.progress(name="Processing task...")
    sleep(0.1)

# Update progress with an example task with time tracking
progress_bar.start_time = time.time()
for i in range(100):
    progress_bar.progress_with_time(name="Processing task with time...")
    sleep(0.1)

In this example, we are filling the progress bar by looping 100 times. The progress(name) updates the progress without any time tracking, while progress_with_time(name) updates the progress and also calculates and displays the estimated time remaining for the task to be completed.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

py_progress_lib-0.8.1.tar.gz (2.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

py_progress_lib-0.8.1-py3-none-any.whl (3.2 kB view details)

Uploaded Python 3

File details

Details for the file py_progress_lib-0.8.1.tar.gz.

File metadata

  • Download URL: py_progress_lib-0.8.1.tar.gz
  • Upload date:
  • Size: 2.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.5 CPython/3.12.8 Windows/11

File hashes

Hashes for py_progress_lib-0.8.1.tar.gz
Algorithm Hash digest
SHA256 c023fc222659560b25b1b19cbe0a86dc719f673cb7436a57a94208ba5970e214
MD5 ff00350589d704627e7a165dad9b8383
BLAKE2b-256 e138280c3e683bca16471b52ee1bbddabba5e9656ab660e7bcd770bebcc200c9

See more details on using hashes here.

File details

Details for the file py_progress_lib-0.8.1-py3-none-any.whl.

File metadata

  • Download URL: py_progress_lib-0.8.1-py3-none-any.whl
  • Upload date:
  • Size: 3.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.5 CPython/3.12.8 Windows/11

File hashes

Hashes for py_progress_lib-0.8.1-py3-none-any.whl
Algorithm Hash digest
SHA256 4bd48eeba18b20d63b6c1e4aacd31799cf05794c475127f12a6558ae6109078c
MD5 452c63ecba267a6c0e294c095fd897a9
BLAKE2b-256 3892212876fa9adb7f75febd1cf08c232b2871f317dd5746b9c14a6daff5d6a7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page