progressbar3 4.3.4

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

Build status:

Coverage:

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.

Note that the releases on Pypi are signed with my GPG key (https://pgp.mit.edu/pks/lookup?op=vindex&search=0xE81444E9CE1F695D) and can be checked using GPG:

gpg –verify progressbar2-<version>.tar.gz.asc progressbar2-<version>.tar.gz

Introduction

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 is based on the old Python progressbar package that was published on the now defunct Google Code. Since that project was completely abandoned by its developer and the developer did not respond to email, I decided to fork the package. This package is still backwards compatible with the original progressbar package so you can safely use it as a drop-in replacement for existing project.

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:

• AbsoluteETA

• AdaptiveETA

• AdaptiveTransferSpeed

• AnimatedMarker

• Bar

• BouncingBar

• Counter

• CurrentTime

• DataSize

• DynamicMessage

• ETA

• FileTransferSpeed

• FormatCustomText

• FormatLabel

• FormatLabelBar

• GranularBar

• Percentage

• PercentageLabelBar

• ReverseBar

• RotatingMarker

• SimpleProgress

• Timer

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.

Security contact information

To report a security vulnerability, please use the Tidelift security contact. Tidelift will coordinate the fix and disclosure.

Known issues

• The Jetbrains (PyCharm, etc) editors work out of the box, but for more advanced features such as the MultiBar support you will need to enable the “Enable terminal in output console” checkbox in the Run dialog.

• The IDLE editor doesn’t support these types of progress bars at all: https://bugs.python.org/issue23220

• Jupyter notebooks buffer sys.stdout which can cause mixed output. This issue can be resolved easily using: import sys; sys.stdout.flush(). Linked issue: https://github.com/WoLpH/python-progressbar/issues/173

Links

• Documentation

  • https://progressbar-2.readthedocs.org/en/latest/

• Source

  • https://github.com/WoLpH/python-progressbar

• Bug reports

  • https://github.com/WoLpH/python-progressbar/issues

• Package homepage

  • https://pypi.python.org/pypi/progressbar2

• My blog

  • https://w.wol.ph/

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

for i in progressbar.progressbar(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

If you need to flush manually while wrapping, you can do so using:

import progressbar

progressbar.streams.flush()

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()

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

Multiple (threaded) progressbars

import random
import threading
import time

import progressbar

BARS = 5
N = 50


def do_something(bar):
    for i in bar(range(N)):
        # Sleep up to 0.1 seconds
        time.sleep(random.random() * 0.1)

        # print messages at random intervals to show how extra output works
        if random.random() > 0.9:
            bar.print('random message for bar', bar, i)


with progressbar.MultiBar() as multibar:
    for i in range(BARS):
        # Get a progressbar
        bar = multibar[f'Thread label here {i}']
        # Create a thread and pass the progressbar
        threading.Thread(target=do_something, args=(bar,)).start()

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

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

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

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

Bar with wide Chinese (or other multibyte) characters

# vim: fileencoding=utf-8
import time
import progressbar


def custom_len(value):
    # These characters take up more space
    characters = {
        '进': 2,
        '度': 2,
    }

    total = 0
    for c in value:
        total += characters.get(c, 1)

    return total


bar = progressbar.ProgressBar(
    widgets=[
        '进度: ',
        progressbar.Bar(),
        ' ',
        progressbar.Counter(format='%(value)02d/%(max_value)d'),
    ],
    len_func=custom_len,
)
for i in bar(range(10)):
    time.sleep(0.1)

Showing multiple independent progress bars in parallel

import random
import sys
import time

import progressbar

BARS = 5
N = 100

# Construct the list of progress bars with the `line_offset` so they draw
# below each other
bars = []
for i in range(BARS):
    bars.append(
        progressbar.ProgressBar(
            max_value=N,
            # We add 1 to the line offset to account for the `print_fd`
            line_offset=i + 1,
            max_error=False,
        )
    )

# Create a file descriptor for regular printing as well
print_fd = progressbar.LineOffsetStreamWrapper(lines=0, stream=sys.stdout)

# The progress bar updates, normally you would do something useful here
for i in range(N * BARS):
    time.sleep(0.005)

    # Increment one of the progress bars at random
    bars[random.randrange(0, BARS)].increment()

    # Print a status message to the `print_fd` below the progress bars
    print(f'Hi, we are at update {i+1} of {N * BARS}', file=print_fd)

# Cleanup the bars
for bar in bars:
    bar.finish()

# Add a newline to make sure the next print starts on a new line
print()

---

Naturally we can do this from separate threads as well:

import random
import threading
import time

import progressbar

BARS = 5
N = 100

# Create the bars with the given line offset
bars = []
for line_offset in range(BARS):
    bars.append(progressbar.ProgressBar(line_offset=line_offset, max_value=N))


class Worker(threading.Thread):
    def __init__(self, bar):
        super().__init__()
        self.bar = bar

    def run(self):
        for i in range(N):
            time.sleep(random.random() / 25)
            self.bar.update(i)


for bar in bars:
    Worker(bar).start()

print()