mirror of https://github.com/tqdm/tqdm.git
871 lines
30 KiB
ReStructuredText
871 lines
30 KiB
ReStructuredText
|Logo|
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tqdm
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====
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|PyPI-Status| |PyPI-Versions| |Conda-Forge-Status|
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|Build-Status| |Coverage-Status| |Branch-Coverage-Status| |Codacy-Grade|
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|DOI-URI| |LICENCE| |OpenHub-Status|
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``tqdm`` means "progress" in Arabic (taqadum, تقدّم)
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and an abbreviation for "I love you so much" in Spanish (te quiero demasiado).
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Instantly make your loops show a smart progress meter - just wrap any
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iterable with ``tqdm(iterable)``, and you're done!
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.. code:: python
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from tqdm import tqdm
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for i in tqdm(range(10000)):
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...
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``76%|████████████████████████████ | 7568/10000 [00:33<00:10, 229.00it/s]``
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``trange(N)`` can be also used as a convenient shortcut for
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``tqdm(xrange(N))``.
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|Screenshot|
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REPL: `ptpython <https://github.com/jonathanslenders/ptpython>`__
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It can also be executed as a module with pipes:
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.. code:: sh
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$ seq 9999999 | tqdm --unit_scale | wc -l
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10.0Mit [00:02, 3.58Mit/s]
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9999999
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$ 7z a -bd -r backup.7z docs/ | grep Compressing | \
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tqdm --total $(find docs/ -type f | wc -l) --unit files >> backup.log
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100%|███████████████████████████████▉| 8014/8014 [01:37<00:00, 82.29files/s]
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Overhead is low -- about 60ns per iteration (80ns with ``tqdm_gui``), and is
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unit tested against performance regression.
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By comparison, the well-established
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`ProgressBar <https://github.com/niltonvolpato/python-progressbar>`__ has
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an 800ns/iter overhead.
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In addition to its low overhead, ``tqdm`` uses smart algorithms to predict
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the remaining time and to skip unnecessary iteration displays, which allows
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for a negligible overhead in most cases.
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``tqdm`` works on any platform
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(Linux, Windows, Mac, FreeBSD, NetBSD, Solaris/SunOS),
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in any console or in a GUI, and is also friendly with IPython/Jupyter notebooks.
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``tqdm`` does not require any dependencies (not even ``curses``!), just
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Python and an environment supporting ``carriage return \r`` and
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``line feed \n`` control characters.
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------------------------------------------
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.. contents:: Table of contents
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:backlinks: top
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:local:
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Installation
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------------
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Latest PyPI stable release
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~~~~~~~~~~~~~~~~~~~~~~~~~~
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|PyPI-Status|
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.. code:: sh
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pip install tqdm
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Latest development release on GitHub
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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|GitHub-Status| |GitHub-Stars| |GitHub-Commits| |GitHub-Forks|
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Pull and install in the current directory:
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.. code:: sh
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pip install -e git+https://github.com/tqdm/tqdm.git@master#egg=tqdm
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Latest Conda release
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~~~~~~~~~~~~~~~~~~~~
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|Conda-Forge-Status|
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.. code:: sh
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conda install -c conda-forge tqdm
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Changelog
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---------
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The list of all changes is available either on GitHub's Releases:
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|GitHub-Status|, on the
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`wiki <https://github.com/tqdm/tqdm/wiki/Releases>`__ or on crawlers such as
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`allmychanges.com <https://allmychanges.com/p/python/tqdm/>`_.
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Usage
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-----
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``tqdm`` is very versatile and can be used in a number of ways.
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The three main ones are given below.
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Iterable-based
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~~~~~~~~~~~~~~
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Wrap ``tqdm()`` around any iterable:
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.. code:: python
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text = ""
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for char in tqdm(["a", "b", "c", "d"]):
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text = text + char
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``trange(i)`` is a special optimised instance of ``tqdm(range(i))``:
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.. code:: python
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for i in trange(100):
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pass
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Instantiation outside of the loop allows for manual control over ``tqdm()``:
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.. code:: python
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pbar = tqdm(["a", "b", "c", "d"])
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for char in pbar:
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pbar.set_description("Processing %s" % char)
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Manual
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~~~~~~
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Manual control on ``tqdm()`` updates by using a ``with`` statement:
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.. code:: python
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with tqdm(total=100) as pbar:
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for i in range(10):
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pbar.update(10)
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If the optional variable ``total`` (or an iterable with ``len()``) is
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provided, predictive stats are displayed.
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``with`` is also optional (you can just assign ``tqdm()`` to a variable,
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but in this case don't forget to ``del`` or ``close()`` at the end:
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.. code:: python
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pbar = tqdm(total=100)
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for i in range(10):
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pbar.update(10)
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pbar.close()
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Module
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~~~~~~
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Perhaps the most wonderful use of ``tqdm`` is in a script or on the command
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line. Simply inserting ``tqdm`` (or ``python -m tqdm``) between pipes will pass
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through all ``stdin`` to ``stdout`` while printing progress to ``stderr``.
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The example below demonstrated counting the number of lines in all Python files
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in the current directory, with timing information included.
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.. code:: sh
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$ time find . -name '*.py' -exec cat \{} \; | wc -l
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857365
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real 0m3.458s
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user 0m0.274s
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sys 0m3.325s
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$ time find . -name '*.py' -exec cat \{} \; | tqdm | wc -l
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857366it [00:03, 246471.31it/s]
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857365
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real 0m3.585s
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user 0m0.862s
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sys 0m3.358s
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Note that the usual arguments for ``tqdm`` can also be specified.
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.. code:: sh
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$ find . -name '*.py' -exec cat \{} \; |
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tqdm --unit loc --unit_scale --total 857366 >> /dev/null
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100%|███████████████████████████████████| 857K/857K [00:04<00:00, 246Kloc/s]
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Backing up a large directory?
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.. code:: sh
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$ 7z a -bd -r backup.7z docs/ | grep Compressing |
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tqdm --total $(find docs/ -type f | wc -l) --unit files >> backup.log
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100%|███████████████████████████████▉| 8014/8014 [01:37<00:00, 82.29files/s]
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FAQ and Known Issues
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--------------------
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|GitHub-Issues|
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The most common issues relate to excessive output on multiple lines, instead
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of a neat one-line progress bar.
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- Consoles in general: require support for carriage return (``CR``, ``\r``).
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- Nested progress bars:
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* Consoles in general: require support for moving cursors up to the
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previous line. For example,
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`IDLE <https://github.com/tqdm/tqdm/issues/191#issuecomment-230168030>`__,
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`ConEmu <https://github.com/tqdm/tqdm/issues/254>`__ and
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`PyCharm <https://github.com/tqdm/tqdm/issues/203>`__ (also
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`here <https://github.com/tqdm/tqdm/issues/208>`__,
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`here <https://github.com/tqdm/tqdm/issues/307>`__, and
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`here <https://github.com/tqdm/tqdm/issues/454#issuecomment-335416815>`__)
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lack full support.
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* Windows: additionally may require the Python module ``colorama``
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to ensure nested bars stay within their respective lines.
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- Unicode:
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* Environments which report that they support unicode will have solid smooth
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progressbars. The fallback is an `ascii`-only bar.
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* Windows consoles often only partially support unicode and thus
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`often require explicit ascii=True <https://github.com/tqdm/tqdm/issues/454#issuecomment-335416815>`__
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(also `here <https://github.com/tqdm/tqdm/issues/499>`__). This is due to
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either normal-width unicode characters being incorrectly displayed as
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"wide", or some unicode characters not rendering.
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- Wrapping enumerated iterables: use ``enumerate(tqdm(...))`` instead of
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``tqdm(enumerate(...))``. The same applies to ``numpy.ndenumerate``.
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This is because enumerate functions tend to hide the length of iterables.
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``tqdm`` does not.
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- Wrapping zipped iterables has similar issues due to internal optimisations.
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``tqdm(zip(a, b))`` should be replaced with ``zip(tqdm(a), b)`` or even
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``zip(tqdm(a), tqdm(b))``.
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If you come across any other difficulties, browse and file |GitHub-Issues|.
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Documentation
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-------------
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|PyPI-Versions| |README-Hits| (Since 19 May 2016)
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.. code:: python
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class tqdm(object):
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"""
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Decorate an iterable object, returning an iterator which acts exactly
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like the original iterable, but prints a dynamically updating
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progressbar every time a value is requested.
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"""
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def __init__(self, iterable=None, desc=None, total=None, leave=True,
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file=None, ncols=None, mininterval=0.1,
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maxinterval=10.0, miniters=None, ascii=None, disable=False,
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unit='it', unit_scale=False, dynamic_ncols=False,
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smoothing=0.3, bar_format=None, initial=0, position=None,
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postfix=None):
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Parameters
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~~~~~~~~~~
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* iterable : iterable, optional
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Iterable to decorate with a progressbar.
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Leave blank to manually manage the updates.
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* desc : str, optional
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Prefix for the progressbar.
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* total : int, optional
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The number of expected iterations. If (default: None),
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len(iterable) is used if possible. As a last resort, only basic
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progress statistics are displayed (no ETA, no progressbar).
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If ``gui`` is True and this parameter needs subsequent updating,
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specify an initial arbitrary large positive integer,
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e.g. int(9e9).
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* leave : bool, optional
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If [default: True], keeps all traces of the progressbar
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upon termination of iteration.
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* file : ``io.TextIOWrapper`` or ``io.StringIO``, optional
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Specifies where to output the progress messages
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(default: sys.stderr). Uses ``file.write(str)`` and ``file.flush()``
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methods.
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* ncols : int, optional
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The width of the entire output message. If specified,
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dynamically resizes the progressbar to stay within this bound.
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If unspecified, attempts to use environment width. The
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fallback is a meter width of 10 and no limit for the counter and
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statistics. If 0, will not print any meter (only stats).
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* mininterval : float, optional
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Minimum progress display update interval, in seconds [default: 0.1].
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* maxinterval : float, optional
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Maximum progress display update interval, in seconds [default: 10].
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Automatically adjusts ``miniters`` to correspond to ``mininterval``
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after long display update lag. Only works if ``dynamic_miniters``
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or monitor thread is enabled.
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* miniters : int, optional
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Minimum progress display update interval, in iterations.
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If 0 and ``dynamic_miniters``, will automatically adjust to equal
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``mininterval`` (more CPU efficient, good for tight loops).
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If > 0, will skip display of specified number of iterations.
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Tweak this and ``mininterval`` to get very efficient loops.
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If your progress is erratic with both fast and slow iterations
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(network, skipping items, etc) you should set miniters=1.
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* ascii : bool, optional
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If unspecified or False, use unicode (smooth blocks) to fill
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the meter. The fallback is to use ASCII characters ``1-9 #``.
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* disable : bool, optional
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Whether to disable the entire progressbar wrapper
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[default: False].
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* unit : str, optional
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String that will be used to define the unit of each iteration
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[default: it].
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* unit_scale : bool or int or float, optional
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If 1 or True, the number of iterations will be reduced/scaled
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automatically and a metric prefix following the
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International System of Units standard will be added
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(kilo, mega, etc.) [default: False]. If any other non-zero
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number, will scale `total` and `n`.
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* dynamic_ncols : bool, optional
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If set, constantly alters ``ncols`` to the environment (allowing
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for window resizes) [default: False].
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* smoothing : float, optional
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Exponential moving average smoothing factor for speed estimates
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(ignored in GUI mode). Ranges from 0 (average speed) to 1
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(current/instantaneous speed) [default: 0.3].
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* bar_format : str, optional
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Specify a custom bar string formatting. May impact performance.
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[default: '{l_bar}{bar}{r_bar}'], where
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l_bar='{desc}: {percentage:3.0f}%|' and
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r_bar='| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, '
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'{rate_fmt}{postfix}]'
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Possible vars: l_bar, bar, r_bar, n, n_fmt, total, total_fmt,
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percentage, rate, rate_fmt, rate_noinv, rate_noinv_fmt,
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rate_inv, rate_inv_fmt, elapsed, remaining, desc, postfix.
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Note that a trailing ": " is automatically removed after {desc}
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if the latter is empty.
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* initial : int, optional
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The initial counter value. Useful when restarting a progress
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bar [default: 0].
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* position : int, optional
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Specify the line offset to print this bar (starting from 0)
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Automatic if unspecified.
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Useful to manage multiple bars at once (eg, from threads).
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* postfix : dict or ``*``, optional
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Specify additional stats to display at the end of the bar.
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Calls ``set_postfix(**postfix)`` if possible (dict).
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* unit_divisor : float, optional
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[default: 1000], ignored unless `unit_scale` is True.
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Extra CLI Options
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~~~~~~~~~~~~~~~~~
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* delim : chr, optional
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Delimiting character [default: '\n']. Use '\0' for null.
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N.B.: on Windows systems, Python converts '\n' to '\r\n'.
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* buf_size : int, optional
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String buffer size in bytes [default: 256]
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used when ``delim`` is specified.
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* bytes : bool, optional
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If true, will count bytes and ignore ``delim``.
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Returns
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~~~~~~~
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* out : decorated iterator.
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.. code:: python
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def update(self, n=1):
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"""
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Manually update the progress bar, useful for streams
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such as reading files.
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E.g.:
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>>> t = tqdm(total=filesize) # Initialise
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>>> for current_buffer in stream:
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... ...
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... t.update(len(current_buffer))
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>>> t.close()
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The last line is highly recommended, but possibly not necessary if
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``t.update()`` will be called in such a way that ``filesize`` will be
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exactly reached and printed.
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Parameters
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----------
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n : int, optional
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Increment to add to the internal counter of iterations
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[default: 1].
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"""
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def close(self):
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"""
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Cleanup and (if leave=False) close the progressbar.
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"""
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def unpause(self):
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"""
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Restart tqdm timer from last print time.
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"""
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def clear(self, nomove=False):
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"""
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Clear current bar display
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"""
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def refresh(self):
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"""
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Force refresh the display of this bar
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"""
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def write(cls, s, file=sys.stdout, end="\n"):
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"""
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Print a message via tqdm (without overlap with bars)
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"""
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def set_description(self, desc=None, refresh=True):
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"""
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Set/modify description of the progress bar.
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Parameters
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----------
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desc : str, optional
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refresh : bool, optional
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Forces refresh [default: True].
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"""
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def set_postfix(self, ordered_dict=None, refresh=True, **kwargs):
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"""
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Set/modify postfix (additional stats)
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with automatic formatting based on datatype.
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Parameters
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----------
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refresh : bool, optional
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Forces refresh [default: True].
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"""
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def trange(*args, **kwargs):
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"""
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A shortcut for tqdm(xrange(*args), **kwargs).
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On Python3+ range is used instead of xrange.
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"""
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class tqdm_gui(tqdm):
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"""
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Experimental GUI version of tqdm!
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"""
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def tgrange(*args, **kwargs):
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"""
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Experimental GUI version of trange!
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"""
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class tqdm_notebook(tqdm):
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"""
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Experimental IPython/Jupyter Notebook widget using tqdm!
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"""
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def tnrange(*args, **kwargs):
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"""
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Experimental IPython/Jupyter Notebook widget using tqdm!
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"""
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Examples and Advanced Usage
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---------------------------
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- See the `examples <https://github.com/tqdm/tqdm/tree/master/examples>`__
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folder;
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- import the module and run ``help()``, or
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- consult the `wiki <https://github.com/tqdm/tqdm/wiki>`__.
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- this has an
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`excellent article <https://github.com/tqdm/tqdm/wiki/How-to-make-a-great-Progress-Bar>`__
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on how to make a **great** progressbar.
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Description and additional stats
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Custom information can be displayed and updated dynamically on ``tqdm`` bars
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with the ``desc`` and ``postfix`` arguments:
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.. code:: python
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from tqdm import trange
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from random import random, randint
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from time import sleep
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with trange(100) as t:
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for i in t:
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# Description will be displayed on the left
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t.set_description('GEN %i' % i)
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# Postfix will be displayed on the right,
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# formatted automatically based on argument's datatype
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t.set_postfix(loss=random(), gen=randint(1,999), str='h',
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lst=[1, 2])
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sleep(0.1)
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with tqdm(total=10, bar_format="{postfix[0]} {postfix[1][value]:>8.2g}",
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postfix=["Batch", dict(value=0)]) as t:
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for i in range(10):
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sleep(0.1)
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t.postfix[1]["value"] = i / 2
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t.update()
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Points to remember when using ``{postfix[...]}`` in the ``bar_format`` string:
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- ``postfix`` also needs to be passed as an initial argument in a compatible
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format, and
|
||
- ``postfix`` will be auto-converted to a string if it is a ``dict``-like
|
||
object. To prevent this behaviour, insert an extra item into the dictionary
|
||
where the key is not a string.
|
||
|
||
Nested progress bars
|
||
~~~~~~~~~~~~~~~~~~~~
|
||
|
||
``tqdm`` supports nested progress bars. Here's an example:
|
||
|
||
.. code:: python
|
||
|
||
from tqdm import trange
|
||
from time import sleep
|
||
|
||
for i in trange(10, desc='1st loop'):
|
||
for j in trange(5, desc='2nd loop', leave=False):
|
||
for k in trange(100, desc='3nd loop'):
|
||
sleep(0.01)
|
||
|
||
On Windows `colorama <https://github.com/tartley/colorama>`__ will be used if
|
||
available to keep nested bars on their respective lines.
|
||
|
||
For manual control over positioning (e.g. for multi-threaded use),
|
||
you may specify ``position=n`` where ``n=0`` for the outermost bar,
|
||
``n=1`` for the next, and so on:
|
||
|
||
.. code:: python
|
||
|
||
from time import sleep
|
||
from tqdm import trange, tqdm
|
||
from multiprocessing import Pool, freeze_support, RLock
|
||
|
||
L = list(range(9))
|
||
|
||
def progresser(n):
|
||
interval = 0.001 / (n + 2)
|
||
total = 5000
|
||
text = "#{}, est. {:<04.2}s".format(n, interval * total)
|
||
for i in trange(total, desc=text, position=n):
|
||
sleep(interval)
|
||
|
||
if __name__ == '__main__':
|
||
freeze_support() # for Windows support
|
||
p = Pool(len(L),
|
||
# again, for Windows support
|
||
initializer=tqdm.set_lock, initargs=(RLock(),))
|
||
p.map(progresser, L)
|
||
print("\n" * (len(L) - 2))
|
||
|
||
Hooks and callbacks
|
||
~~~~~~~~~~~~~~~~~~~
|
||
|
||
``tqdm`` can easily support callbacks/hooks and manual updates.
|
||
Here's an example with ``urllib``:
|
||
|
||
**urllib.urlretrieve documentation**
|
||
|
||
| [...]
|
||
| If present, the hook function will be called once
|
||
| on establishment of the network connection and once after each block read
|
||
| thereafter. The hook will be passed three arguments; a count of blocks
|
||
| transferred so far, a block size in bytes, and the total size of the file.
|
||
| [...]
|
||
|
||
.. code:: python
|
||
|
||
import urllib, os
|
||
from tqdm import tqdm
|
||
|
||
class TqdmUpTo(tqdm):
|
||
"""Provides `update_to(n)` which uses `tqdm.update(delta_n)`."""
|
||
def update_to(self, b=1, bsize=1, tsize=None):
|
||
"""
|
||
b : int, optional
|
||
Number of blocks transferred so far [default: 1].
|
||
bsize : int, optional
|
||
Size of each block (in tqdm units) [default: 1].
|
||
tsize : int, optional
|
||
Total size (in tqdm units). If [default: None] remains unchanged.
|
||
"""
|
||
if tsize is not None:
|
||
self.total = tsize
|
||
self.update(b * bsize - self.n) # will also set self.n = b * bsize
|
||
|
||
eg_link = "https://caspersci.uk.to/matryoshka.zip"
|
||
with TqdmUpTo(unit='B', unit_scale=True, miniters=1,
|
||
desc=eg_link.split('/')[-1]) as t: # all optional kwargs
|
||
urllib.urlretrieve(eg_link, filename=os.devnull,
|
||
reporthook=t.update_to, data=None)
|
||
|
||
Inspired by `twine#242 <https://github.com/pypa/twine/pull/242>`__.
|
||
Functional alternative in
|
||
`examples/tqdm_wget.py <https://github.com/tqdm/tqdm/blob/master/examples/tqdm_wget.py>`__.
|
||
|
||
It is recommend to use ``miniters=1`` whenever there is potentially
|
||
large differences in iteration speed (e.g. downloading a file over
|
||
a patchy connection).
|
||
|
||
Pandas Integration
|
||
~~~~~~~~~~~~~~~~~~
|
||
|
||
Due to popular demand we've added support for ``pandas`` -- here's an example
|
||
for ``DataFrame.progress_apply`` and ``DataFrameGroupBy.progress_apply``:
|
||
|
||
.. code:: python
|
||
|
||
import pandas as pd
|
||
import numpy as np
|
||
from tqdm import tqdm
|
||
|
||
df = pd.DataFrame(np.random.randint(0, 100, (100000, 6)))
|
||
|
||
# Register `pandas.progress_apply` and `pandas.Series.map_apply` with `tqdm`
|
||
# (can use `tqdm_gui`, `tqdm_notebook`, optional kwargs, etc.)
|
||
tqdm.pandas(desc="my bar!")
|
||
|
||
# Now you can use `progress_apply` instead of `apply`
|
||
# and `progress_map` instead of `map`
|
||
df.progress_apply(lambda x: x**2)
|
||
# can also groupby:
|
||
# df.groupby(0).progress_apply(lambda x: x**2)
|
||
|
||
In case you're interested in how this works (and how to modify it for your
|
||
own callbacks), see the
|
||
`examples <https://github.com/tqdm/tqdm/tree/master/examples>`__
|
||
folder or import the module and run ``help()``.
|
||
|
||
IPython/Jupyter Integration
|
||
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
||
|
||
IPython/Jupyter is supported via the ``tqdm_notebook`` submodule:
|
||
|
||
.. code:: python
|
||
|
||
from tqdm import tnrange, tqdm_notebook
|
||
from time import sleep
|
||
|
||
for i in tnrange(10, desc='1st loop'):
|
||
for j in tqdm_notebook(xrange(100), desc='2nd loop'):
|
||
sleep(0.01)
|
||
|
||
In addition to ``tqdm`` features, the submodule provides a native Jupyter
|
||
widget (compatible with IPython v1-v4 and Jupyter), fully working nested bars
|
||
and color hints (blue: normal, green: completed, red: error/interrupt,
|
||
light blue: no ETA); as demonstrated below.
|
||
|
||
|Screenshot-Jupyter1|
|
||
|Screenshot-Jupyter2|
|
||
|Screenshot-Jupyter3|
|
||
|
||
Writing messages
|
||
~~~~~~~~~~~~~~~~
|
||
|
||
Since ``tqdm`` uses a simple printing mechanism to display progress bars,
|
||
you should not write any message in the terminal using ``print()`` while
|
||
a progressbar is open.
|
||
|
||
To write messages in the terminal without any collision with ``tqdm`` bar
|
||
display, a ``.write()`` method is provided:
|
||
|
||
.. code:: python
|
||
|
||
from tqdm import tqdm, trange
|
||
from time import sleep
|
||
|
||
bar = trange(10)
|
||
for i in bar:
|
||
# Print using tqdm class method .write()
|
||
sleep(0.1)
|
||
if not (i % 3):
|
||
tqdm.write("Done task %i" % i)
|
||
# Can also use bar.write()
|
||
|
||
By default, this will print to standard output ``sys.stdout``. but you can
|
||
specify any file-like object using the ``file`` argument. For example, this
|
||
can be used to redirect the messages writing to a log file or class.
|
||
|
||
Redirecting writing
|
||
~~~~~~~~~~~~~~~~~~~
|
||
|
||
If using a library that can print messages to the console, editing the library
|
||
by replacing ``print()`` with ``tqdm.write()`` may not be desirable.
|
||
In that case, redirecting ``sys.stdout`` to ``tqdm.write()`` is an option.
|
||
|
||
To redirect ``sys.stdout``, create a file-like class that will write
|
||
any input string to ``tqdm.write()``, and supply the arguments
|
||
``file=sys.stdout, dynamic_ncols=True``.
|
||
|
||
A reusable canonical example is given below:
|
||
|
||
.. code:: python
|
||
|
||
from time import sleep
|
||
import contextlib
|
||
import sys
|
||
from tqdm import tqdm
|
||
|
||
class DummyTqdmFile(object):
|
||
"""Dummy file-like that will write to tqdm"""
|
||
file = None
|
||
def __init__(self, file):
|
||
self.file = file
|
||
|
||
def write(self, x):
|
||
# Avoid print() second call (useless \n)
|
||
if len(x.rstrip()) > 0:
|
||
tqdm.write(x, file=self.file)
|
||
|
||
def flush(self):
|
||
return getattr(self.file, "flush", lambda: None)()
|
||
|
||
@contextlib.contextmanager
|
||
def std_out_err_redirect_tqdm():
|
||
orig_out_err = sys.stdout, sys.stderr
|
||
try:
|
||
sys.stdout, sys.stderr = map(DummyTqdmFile, orig_out_err)
|
||
yield orig_out_err[0]
|
||
# Relay exceptions
|
||
except Exception as exc:
|
||
raise exc
|
||
# Always restore sys.stdout/err if necessary
|
||
finally:
|
||
sys.stdout, sys.stderr = orig_out_err
|
||
|
||
def some_fun(i):
|
||
print("Fee, fi, fo,".split()[i])
|
||
|
||
# Redirect stdout to tqdm.write() (don't forget the `as save_stdout`)
|
||
with std_out_err_redirect_tqdm() as orig_stdout:
|
||
# tqdm needs the original stdout
|
||
# and dynamic_ncols=True to autodetect console width
|
||
for i in tqdm(range(3), file=orig_stdout, dynamic_ncols=True):
|
||
sleep(.5)
|
||
some_fun(i)
|
||
|
||
# After the `with`, printing is restored
|
||
print("Done!")
|
||
|
||
Monitoring thread, intervals and miniters
|
||
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
||
|
||
``tqdm`` implements a few tricks to to increase efficiency and reduce overhead.
|
||
|
||
- Avoid unnecessary frequent bar refreshing: ``mininterval`` defines how long
|
||
to wait between each refresh. ``tqdm`` always gets updated in the background,
|
||
but it will diplay only every ``mininterval``.
|
||
- Reduce number of calls to check system clock/time.
|
||
- ``mininterval`` is more intuitive to configure than ``miniters``.
|
||
A clever adjustment system ``dynamic_miniters`` will automatically adjust
|
||
``miniters`` to the amount of iterations that fit into time ``mininterval``.
|
||
Essentially, ``tqdm`` will check if it's time to print without actually
|
||
checking time. This behaviour can be still be bypassed by manually setting
|
||
``miniters``.
|
||
|
||
However, consider a case with a combination of fast and slow iterations.
|
||
After a few fast iterations, ``dynamic_miniters`` will set ``miniters`` to a
|
||
large number. When iteration rate subsequently slows, ``miniters`` will
|
||
remain large and thus reduce display update frequency. To address this:
|
||
|
||
- ``maxinterval`` defines the maximum time between display refreshes.
|
||
A concurrent monitoring thread checks for overdue updates and forces one
|
||
where necessary.
|
||
|
||
The monitoring thread should not have a noticeable overhead, and guarantees
|
||
updates at least every 10 seconds by default.
|
||
This value can be directly changed by setting the ``monitor_interval`` of
|
||
any ``tqdm`` instance (i.e. ``t = tqdm.tqdm(...); t.monitor_interval = 2``).
|
||
The monitor thread may be disabled application-wide by setting
|
||
``tqdm.tqdm.monitor_interval = 0`` before instantiatiation of any ``tqdm`` bar.
|
||
|
||
|
||
Contributions
|
||
-------------
|
||
|
||
|GitHub-Commits| |GitHub-Issues| |GitHub-PRs| |OpenHub-Status|
|
||
|
||
All source code is hosted on `GitHub <https://github.com/tqdm/tqdm>`__.
|
||
Contributions are welcome.
|
||
|
||
See the
|
||
`CONTRIBUTING <https://raw.githubusercontent.com/tqdm/tqdm/master/CONTRIBUTING.md>`__
|
||
file for more information.
|
||
|
||
|
||
LICENCE
|
||
-------
|
||
|
||
Open Source (OSI approved): |LICENCE|
|
||
|
||
Citation information: |DOI-URI|
|
||
|
||
|
||
Authors
|
||
-------
|
||
|
||
The main developers, ranked by surviving lines of code, are:
|
||
|
||
- Casper da Costa-Luis (`casperdcl <https://github.com/casperdcl>`__, ~2/3, |Gift-Casper|)
|
||
- Stephen Larroque (`lrq3000 <https://github.com/lrq3000>`__, ~1/3)
|
||
- Guangshuo Chen (`chengs <https://github.com/chengs>`__, ~1%)
|
||
- Hadrien Mary (`hadim <https://github.com/hadim>`__, ~1%)
|
||
- Noam Yorav-Raphael (`noamraph <https://github.com/noamraph>`__, ~1%, original author)
|
||
- Mikhail Korobov (`kmike <https://github.com/kmike>`__, ~1%)
|
||
|
||
There are also many |GitHub-Contributions| which we are grateful for.
|
||
|
||
|README-Hits| (Since 19 May 2016)
|
||
|
||
.. |Logo| image:: https://raw.githubusercontent.com/tqdm/tqdm/master/images/logo.gif
|
||
.. |Screenshot| image:: https://raw.githubusercontent.com/tqdm/tqdm/master/images/tqdm.gif
|
||
.. |Build-Status| image:: https://travis-ci.org/tqdm/tqdm.svg?branch=master
|
||
:target: https://travis-ci.org/tqdm/tqdm
|
||
.. |Coverage-Status| image:: https://coveralls.io/repos/tqdm/tqdm/badge.svg?branch=master
|
||
:target: https://coveralls.io/github/tqdm/tqdm
|
||
.. |Branch-Coverage-Status| image:: https://codecov.io/gh/tqdm/tqdm/branch/master/graph/badge.svg
|
||
:target: https://codecov.io/gh/tqdm/tqdm
|
||
.. |Codacy-Grade| image:: https://api.codacy.com/project/badge/Grade/3f965571598f44549c7818f29cdcf177
|
||
:target: https://www.codacy.com/app/tqdm/tqdm?utm_source=github.com&utm_medium=referral&utm_content=tqdm/tqdm&utm_campaign=Badge_Grade
|
||
.. |GitHub-Status| image:: https://img.shields.io/github/tag/tqdm/tqdm.svg?maxAge=86400
|
||
:target: https://github.com/tqdm/tqdm/releases
|
||
.. |GitHub-Forks| image:: https://img.shields.io/github/forks/tqdm/tqdm.svg
|
||
:target: https://github.com/tqdm/tqdm/network
|
||
.. |GitHub-Stars| image:: https://img.shields.io/github/stars/tqdm/tqdm.svg
|
||
:target: https://github.com/tqdm/tqdm/stargazers
|
||
.. |GitHub-Commits| image:: https://img.shields.io/github/commit-activity/y/tqdm/tqdm.svg
|
||
:target: https://github.com/tqdm/tqdm/graphs/commit-activity
|
||
.. |GitHub-Issues| image:: https://img.shields.io/github/issues-closed/tqdm/tqdm.svg
|
||
:target: https://github.com/tqdm/tqdm/issues
|
||
.. |GitHub-PRs| image:: https://img.shields.io/github/issues-pr-closed/tqdm/tqdm.svg
|
||
:target: https://github.com/tqdm/tqdm/pulls
|
||
.. |GitHub-Contributions| image:: https://img.shields.io/github/contributors/tqdm/tqdm.svg
|
||
:target: https://github.com/tqdm/tqdm/graphs/contributors
|
||
.. |Gift-Casper| image:: https://img.shields.io/badge/gift-donate-ff69b4.svg
|
||
:target: https://caspersci.uk.to/donate.html
|
||
.. |PyPI-Status| image:: https://img.shields.io/pypi/v/tqdm.svg
|
||
:target: https://pypi.python.org/pypi/tqdm
|
||
.. |PyPI-Downloads| image:: https://img.shields.io/pypi/dm/tqdm.svg
|
||
:target: https://pypi.python.org/pypi/tqdm
|
||
.. |PyPI-Versions| image:: https://img.shields.io/pypi/pyversions/tqdm.svg
|
||
:target: https://pypi.python.org/pypi/tqdm
|
||
.. |Conda-Forge-Status| image:: https://anaconda.org/conda-forge/tqdm/badges/version.svg
|
||
:target: https://anaconda.org/conda-forge/tqdm
|
||
.. |OpenHub-Status| image:: https://www.openhub.net/p/tqdm/widgets/project_thin_badge?format=gif
|
||
:target: https://www.openhub.net/p/tqdm?ref=Thin+badge
|
||
.. |LICENCE| image:: https://img.shields.io/pypi/l/tqdm.svg
|
||
:target: https://raw.githubusercontent.com/tqdm/tqdm/master/LICENCE
|
||
.. |DOI-URI| image:: https://zenodo.org/badge/21637/tqdm/tqdm.svg
|
||
:target: https://zenodo.org/badge/latestdoi/21637/tqdm/tqdm
|
||
.. |Screenshot-Jupyter1| image:: https://raw.githubusercontent.com/tqdm/tqdm/master/images/tqdm-jupyter-1.gif
|
||
.. |Screenshot-Jupyter2| image:: https://raw.githubusercontent.com/tqdm/tqdm/master/images/tqdm-jupyter-2.gif
|
||
.. |Screenshot-Jupyter3| image:: https://raw.githubusercontent.com/tqdm/tqdm/master/images/tqdm-jupyter-3.gif
|
||
.. |README-Hits| image:: https://caspersci.uk.to/cgi-bin/hits.cgi?q=tqdm&style=social&r=https://github.com/tqdm/tqdm&l=https://caspersci.uk.to/images/tqdm.png&f=https://raw.githubusercontent.com/tqdm/tqdm/master/images/logo.gif
|
||
:target: https://caspersci.uk.to/cgi-bin/hits.cgi?q=tqdm&a=plot&r=https://github.com/tqdm/tqdm&l=https://caspersci.uk.to/images/tqdm.png&f=https://raw.githubusercontent.com/tqdm/tqdm/master/images/logo.gif&style=social
|