mirror of https://github.com/tqdm/tqdm.git
689 lines
21 KiB
ReStructuredText
689 lines
21 KiB
ReStructuredText
|Logo|
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tqdm
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====
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|PyPI-Status| |PyPI-Versions|
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|Build-Status| |Coverage-Status| |Branch-Coverage-Status|
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|DOI-URI| |LICENCE|
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``tqdm`` (read taqadum, تقدّم) means "progress" in arabic.
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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(9)):
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...
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Here's what the output looks like:
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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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Screenshot using `bpython <http://www.bpython-interpreter.org/>`__
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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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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 (Linux, Windows, Mac, FreeBSD, 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 library (not even curses!) to run, just a
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vanilla Python interpreter will do and an environment supporting ``carriage
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return \r`` and ``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-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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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| 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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Help!
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-----
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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, `IDLE won't work <https://github.com/tqdm/tqdm/issues/191#issuecomment-230168030>`__.
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* Windows: additionally may require the python module ``colorama``.
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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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If you come across any other difficulties, browse/open issues
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`here <https://github.com/tqdm/tqdm/issues?q=is%3Aissue>`__.
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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=sys.stderr, 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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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 update interval, in seconds [default: 0.1].
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* maxinterval : float, optional
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Maximum progress update interval, in seconds [default: 10.0].
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* miniters : int, optional
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Minimum progress update interval, in iterations.
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If specified, will set `mininterval` to 0.
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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, optional
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If set, 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].
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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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If unspecified, will use '{l_bar}{bar}{r_bar}', where l_bar is
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'{desc}{percentage:3.0f}%|' and r_bar is
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'| {n_fmt}/{total_fmt} [{elapsed_str}<{remaining_str}, {rate_fmt}]'
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Possible vars: bar, n, n_fmt, total, total_fmt, percentage,
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rate, rate_fmt, elapsed, remaining, l_bar, r_bar, desc.
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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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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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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
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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 clear(self):
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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 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 `excellent article <https://github.com/tqdm/tqdm/wiki/How-to-make-a-great-Progress-Bar>`__ on how to make a **great** progressbar.
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Nested progress bars
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~~~~~~~~~~~~~~~~~~~~
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``tqdm`` supports nested progress bars. Here's an example:
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.. code:: python
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from tqdm import trange
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from time import sleep
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for i in trange(10, desc='1st loop'):
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for j in trange(5, desc='2nd loop', leave=False):
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for k in trange(100, desc='3nd loop'):
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sleep(0.01)
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On Windows `colorama <https://github.com/tartley/colorama>`__ will be used if
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available to produce a beautiful nested display.
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For manual control over positioning (e.g. for multi-threaded use),
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you may specify `position=n` where `n=0` for the outermost bar,
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`n=1` for the next, and so on.
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Hooks and callbacks
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~~~~~~~~~~~~~~~~~~~
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``tqdm`` can easily support callbacks/hooks and manual updates.
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Here's an example with ``urllib``:
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**urllib.urlretrieve documentation**
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| [...]
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| If present, the hook function will be called once
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| on establishment of the network connection and once after each
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block read
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| thereafter. The hook will be passed three arguments; a count of
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blocks
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| transferred so far, a block size in bytes, and the total size of
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the file.
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| [...]
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.. code:: python
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import urllib
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from tqdm import tqdm
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def my_hook(t):
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"""
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Wraps tqdm instance. Don't forget to close() or __exit__()
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the tqdm instance once you're done with it (easiest using `with` syntax).
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Example
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-------
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>>> with tqdm(...) as t:
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... reporthook = my_hook(t)
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... urllib.urlretrieve(..., reporthook=reporthook)
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"""
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last_b = [0]
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def inner(b=1, bsize=1, tsize=None):
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"""
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b : int, optional
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Number of blocks just transferred [default: 1].
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bsize : int, optional
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Size of each block (in tqdm units) [default: 1].
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tsize : int, optional
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Total size (in tqdm units). If [default: None] remains unchanged.
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"""
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if tsize is not None:
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t.total = tsize
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t.update((b - last_b[0]) * bsize)
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last_b[0] = b
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return inner
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eg_link = 'http://www.doc.ic.ac.uk/~cod11/matryoshka.zip'
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with tqdm(unit='B', unit_scale=True, miniters=1,
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desc=eg_link.split('/')[-1]) as t: # all optional kwargs
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urllib.urlretrieve(eg_link, filename='/dev/null',
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reporthook=my_hook(t), data=None)
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It is recommend to use ``miniters=1`` whenever there is potentially
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large differences in iteration speed (e.g. downloading a file over
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a patchy connection).
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Pandas Integration
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~~~~~~~~~~~~~~~~~~
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Due to popular demand we've added support for ``pandas`` -- here's an example
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for ``DataFrame.progress_apply`` and ``DataFrameGroupBy.progress_apply``:
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.. code:: python
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import pandas as pd
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import numpy as np
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from tqdm import tqdm
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df = pd.DataFrame(np.random.randint(0, 100, (100000, 6)))
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# Register `pandas.progress_apply` and `pandas.Series.map_apply` with `tqdm`
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# (can use `tqdm_gui`, `tqdm_notebook`, optional kwargs, etc.)
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tqdm.pandas(desc="my bar!")
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# Now you can use `progress_apply` instead of `apply`
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# and `progress_map` instead of `map`
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df.progress_apply(lambda x: x**2)
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# can also groupby:
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# df.groupby(0).progress_apply(lambda x: x**2)
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In case you're interested in how this works (and how to modify it for your
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own callbacks), see the
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`examples <https://github.com/tqdm/tqdm/tree/master/examples>`__
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folder or import the module and run ``help()``.
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IPython/Jupyter Integration
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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IPython/Jupyter is supported via the `tqdm_notebook` submodule:
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.. code:: python
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from tqdm import tnrange, tqdm_notebook
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from time import sleep
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for i in tnrange(10, desc='1st loop'):
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for j in tqdm_notebook(xrange(100), desc='2nd loop'):
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sleep(0.01)
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In addition to `tqdm` features, the submodule provides a native Jupyter
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widget (compatible with IPython v1-v4 and Jupyter), fully working nested bars
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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()``.
|
||
|
||
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)
|
||
|
||
@contextlib.contextmanager
|
||
def stdout_redirect_to_tqdm():
|
||
save_stdout = sys.stdout
|
||
try:
|
||
sys.stdout = DummyTqdmFile(sys.stdout)
|
||
yield save_stdout
|
||
# Relay exceptions
|
||
except Exception as exc:
|
||
raise exc
|
||
# Always restore sys.stdout if necessary
|
||
finally:
|
||
sys.stdout = save_stdout
|
||
|
||
def blabla():
|
||
print("Foo blabla")
|
||
|
||
# Redirect stdout to tqdm.write() (don't forget the `as save_stdout`)
|
||
with stdout_redirect_to_tqdm() as save_stdout:
|
||
# tqdm call need to specify sys.stdout, not sys.stderr (default)
|
||
# and dynamic_ncols=True to autodetect console width
|
||
for _ in tqdm(range(3), file=save_stdout, dynamic_ncols=True):
|
||
blabla()
|
||
sleep(.5)
|
||
|
||
# After the `with`, printing is restored
|
||
print('Done!')
|
||
|
||
|
||
Contributions
|
||
-------------
|
||
|
||
All source code is hosted on `GitHub <https://github.com/tqdm/tqdm>`__.
|
||
Contributions are welcome.
|
||
|
||
See the
|
||
`CONTRIBUTE <https://raw.githubusercontent.com/tqdm/tqdm/master/CONTRIBUTE>`__
|
||
file for more information.
|
||
|
||
|
||
LICENCE
|
||
-------
|
||
|
||
Open Source (OSI approved): |LICENCE|
|
||
|
||
Citation information: |DOI-URI|
|
||
|
||
|
||
Authors
|
||
-------
|
||
|
||
Ranked by contributions.
|
||
|
||
- Casper da Costa-Luis (casperdcl)
|
||
- Stephen Larroque (lrq3000)
|
||
- Hadrien Mary (hadim)
|
||
- Noam Yorav-Raphael (noamraph)*
|
||
- Ivan Ivanov (obiwanus)
|
||
- Mikhail Korobov (kmike)
|
||
|
||
`*` Original author
|
||
|
||
|README-Hits| (Since 19 May 2016)
|
||
|
||
.. |Logo| image:: https://raw.githubusercontent.com/tqdm/tqdm/master/logo.png
|
||
.. |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
|
||
:target: https://coveralls.io/r/tqdm/tqdm
|
||
.. |Branch-Coverage-Status| image:: https://codecov.io/github/tqdm/tqdm/coverage.svg?branch=master
|
||
:target: https://codecov.io/github/tqdm/tqdm?branch=master
|
||
.. |GitHub-Status| image:: https://img.shields.io/github/tag/tqdm/tqdm.svg?maxAge=2592000
|
||
: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
|
||
.. |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
|
||
.. |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:: http://hitt.herokuapp.com/tqdm/tqdm.svg
|