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A Python Progressbar library to provide visual (yet text based) progress to long running operations.

Project description

Travis status:

https://travis-ci.org/WoLpH/python-progressbar.png?branch=master

Coverage:

https://coveralls.io/repos/WoLpH/python-progressbar/badge.png?branch=master

Install

The package can be installed through pip (this is the recommended method):

pip install progressbar2

Or if pip is not available, easy_install should work as well:

easy_install progressbar2

Or download the latest release from Pypi (https://pypi.python.org/pypi/progressbar2) or Github.

Introduction

NOTE: This version has been completely rewritten and might not be 100% compatible with the old version. If you encounter any problems while using it please let me know: https://github.com/WoLpH/python-progressbar/issues

A text progress bar is typically used to display the progress of a long running operation, providing a visual cue that processing is underway.

The ProgressBar class manages the current progress, and the format of the line is given by a number of widgets. A widget is an object that may display differently depending on the state of the progress bar. There are many types of widgets:

  • Timer
  • ETA
  • AdaptiveETA
  • FileTransferSpeed
  • AdaptiveTransferSpeed
  • AnimatedMarker
  • Counter
  • Percentage
  • FormatLabel
  • SimpleProgress
  • Bar
  • ReverseBar
  • BouncingBar
  • RotatingMarker
  • DynamicMessage

The progressbar module is very easy to use, yet very powerful. It will also automatically enable features like auto-resizing when the system supports it.

Usage

There are many ways to use Python Progressbar, you can see a few basic examples here but there are many more in the examples file.

Wrapping an iterable

import time
import progressbar

bar = progressbar.ProgressBar()
for i in bar(range(100)):
    time.sleep(0.02)

Progressbars with logging

Progressbars with logging require stderr redirection _before_ the StreamHandler is initialized. To make sure the stderr stream has been redirected on time make sure to call progressbar.streams.wrap_stderr() before you initialize the logger.

One option to force early initialization is by using the WRAP_STDERR environment variable, on Linux/Unix systems this can be done through:

# WRAP_STDERR=true python your_script.py

In most cases the following will work as well, as long as you initialize the StreamHandler after the wrapping has taken place.

import time
import logging
import progressbar

progressbar.streams.wrap_stderr()
logging.basicConfig()

bar = progressbar.ProgressBar()
for i in bar(range(10)):
    logging.error('Got %d', i)
    time.sleep(0.2)

Context wrapper

import time
import progressbar

with progressbar.ProgressBar(max_value=10) as bar:
    for i in range(10):
        time.sleep(0.1)
        bar.update(i)

Combining progressbars with print output

import time
import progressbar

bar = progressbar.ProgressBar(redirect_stdout=True)
for i in range(100):
    print 'Some text', i
    time.sleep(0.1)
    bar.update(i)

Progressbar with unknown length

import time
import progressbar

bar = progressbar.ProgressBar(max_value=progressbar.UnknownLength)
for i in range(20):
    time.sleep(0.1)
    bar.update(i)

Bar with custom widgets

import time
import progressbar

bar = progressbar.ProgressBar(widgets=[
    ' [', progressbar.Timer(), '] ',
    progressbar.Bar(),
    ' (', progressbar.ETA(), ') ',
])
for i in bar(range(20)):
    time.sleep(0.1)

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