Metadata-Version: 2.1 Name: tqdm Version: 4.64.1 Summary: Fast, Extensible Progress Meter Home-page: https://tqdm.github.io Maintainer: tqdm developers Maintainer-email: python.tqdm@gmail.com License: MPLv2.0, MIT Licences Project-URL: Changelog, https://tqdm.github.io/releases Project-URL: Source, https://github.com/tqdm/tqdm Project-URL: Wiki, https://github.com/tqdm/tqdm/wiki Keywords: progressbar,progressmeter,progress,bar,meter,rate,eta,console,terminal,time Platform: any Classifier: Development Status :: 5 - Production/Stable Classifier: Environment :: Console Classifier: Environment :: MacOS X Classifier: Environment :: Other Environment Classifier: Environment :: Win32 (MS Windows) Classifier: Environment :: X11 Applications Classifier: Framework :: IPython Classifier: Framework :: Jupyter Classifier: Intended Audience :: Developers Classifier: Intended Audience :: Education Classifier: Intended Audience :: End Users/Desktop Classifier: Intended Audience :: Other Audience Classifier: Intended Audience :: System Administrators Classifier: License :: OSI Approved :: MIT License Classifier: License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0) Classifier: Operating System :: MacOS Classifier: Operating System :: MacOS :: MacOS X Classifier: Operating System :: Microsoft Classifier: Operating System :: Microsoft :: MS-DOS Classifier: Operating System :: Microsoft :: Windows Classifier: Operating System :: POSIX Classifier: Operating System :: POSIX :: BSD Classifier: Operating System :: POSIX :: BSD :: FreeBSD Classifier: Operating System :: POSIX :: Linux Classifier: Operating System :: POSIX :: SunOS/Solaris Classifier: Operating System :: Unix Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 2 Classifier: Programming Language :: Python :: 2.7 Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.5 Classifier: Programming Language :: Python :: 3.6 Classifier: Programming Language :: Python :: 3.7 Classifier: Programming Language :: Python :: 3.8 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: Implementation Classifier: Programming Language :: Python :: Implementation :: IronPython Classifier: Programming Language :: Python :: Implementation :: PyPy Classifier: Programming Language :: Unix Shell Classifier: Topic :: Desktop Environment Classifier: Topic :: Education :: Computer Aided Instruction (CAI) Classifier: Topic :: Education :: Testing Classifier: Topic :: Office/Business Classifier: Topic :: Other/Nonlisted Topic Classifier: Topic :: Software Development :: Build Tools Classifier: Topic :: Software Development :: Libraries Classifier: Topic :: Software Development :: Libraries :: Python Modules Classifier: Topic :: Software Development :: Pre-processors Classifier: Topic :: Software Development :: User Interfaces Classifier: Topic :: System :: Installation/Setup Classifier: Topic :: System :: Logging Classifier: Topic :: System :: Monitoring Classifier: Topic :: System :: Shells Classifier: Topic :: Terminals Classifier: Topic :: Utilities Provides: tqdm Requires-Python: !=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7 Description-Content-Type: text/x-rst License-File: LICENCE Requires-Dist: colorama ; platform_system == "Windows" Requires-Dist: importlib-resources ; python_version < "3.7" Provides-Extra: dev Requires-Dist: py-make (>=0.1.0) ; extra == 'dev' Requires-Dist: twine ; extra == 'dev' Requires-Dist: wheel ; extra == 'dev' Provides-Extra: notebook Requires-Dist: ipywidgets (>=6) ; extra == 'notebook' Provides-Extra: slack Requires-Dist: slack-sdk ; extra == 'slack' Provides-Extra: telegram Requires-Dist: requests ; extra == 'telegram' |Logo| tqdm ==== |Py-Versions| |Versions| |Conda-Forge-Status| |Docker| |Snapcraft| |Build-Status| |Coverage-Status| |Branch-Coverage-Status| |Codacy-Grade| |Libraries-Rank| |PyPI-Downloads| |LICENCE| |OpenHub-Status| |binder-demo| |awesome-python| ``tqdm`` derives from the Arabic word *taqaddum* (تقدّم) which can mean "progress," and is an abbreviation for "I love you so much" in Spanish (*te quiero demasiado*). Instantly make your loops show a smart progress meter - just wrap any iterable with ``tqdm(iterable)``, and you're done! .. code:: python from tqdm import tqdm for i in tqdm(range(10000)): ... ``76%|████████████████████████        | 7568/10000 [00:33<00:10, 229.00it/s]`` ``trange(N)`` can be also used as a convenient shortcut for ``tqdm(range(N))``. |Screenshot| |Video| |Slides| |Merch| It can also be executed as a module with pipes: .. code:: sh $ seq 9999999 | tqdm --bytes | wc -l 75.2MB [00:00, 217MB/s] 9999999 $ tar -zcf - docs/ | tqdm --bytes --total `du -sb docs/ | cut -f1` \ > backup.tgz 32%|██████████▍ | 8.89G/27.9G [00:42<01:31, 223MB/s] Overhead is low -- about 60ns per iteration (80ns with ``tqdm.gui``), and is unit tested against performance regression. By comparison, the well-established `ProgressBar `__ has an 800ns/iter overhead. In addition to its low overhead, ``tqdm`` uses smart algorithms to predict the remaining time and to skip unnecessary iteration displays, which allows for a negligible overhead in most cases. ``tqdm`` works on any platform (Linux, Windows, Mac, FreeBSD, NetBSD, Solaris/SunOS), in any console or in a GUI, and is also friendly with IPython/Jupyter notebooks. ``tqdm`` does not require any dependencies (not even ``curses``!), just Python and an environment supporting ``carriage return \r`` and ``line feed \n`` control characters. ------------------------------------------ .. contents:: Table of contents :backlinks: top :local: Installation ------------ Latest PyPI stable release ~~~~~~~~~~~~~~~~~~~~~~~~~~ |Versions| |PyPI-Downloads| |Libraries-Dependents| .. code:: sh pip install tqdm Latest development release on GitHub ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ |GitHub-Status| |GitHub-Stars| |GitHub-Commits| |GitHub-Forks| |GitHub-Updated| Pull and install pre-release ``devel`` branch: .. code:: sh pip install "git+https://github.com/tqdm/tqdm.git@devel#egg=tqdm" Latest Conda release ~~~~~~~~~~~~~~~~~~~~ |Conda-Forge-Status| .. code:: sh conda install -c conda-forge tqdm Latest Snapcraft release ~~~~~~~~~~~~~~~~~~~~~~~~ |Snapcraft| There are 3 channels to choose from: .. code:: sh snap install tqdm # implies --stable, i.e. latest tagged release snap install tqdm --candidate # master branch snap install tqdm --edge # devel branch Note that ``snap`` binaries are purely for CLI use (not ``import``-able), and automatically set up ``bash`` tab-completion. Latest Docker release ~~~~~~~~~~~~~~~~~~~~~ |Docker| .. code:: sh docker pull tqdm/tqdm docker run -i --rm tqdm/tqdm --help Other ~~~~~ There are other (unofficial) places where ``tqdm`` may be downloaded, particularly for CLI use: |Repology| .. |Repology| image:: https://repology.org/badge/tiny-repos/python:tqdm.svg :target: https://repology.org/project/python:tqdm/versions Changelog --------- The list of all changes is available either on GitHub's Releases: |GitHub-Status|, on the `wiki `__, or on the `website `__. Usage ----- ``tqdm`` is very versatile and can be used in a number of ways. The three main ones are given below. Iterable-based ~~~~~~~~~~~~~~ Wrap ``tqdm()`` around any iterable: .. code:: python from tqdm import tqdm from time import sleep text = "" for char in tqdm(["a", "b", "c", "d"]): sleep(0.25) text = text + char ``trange(i)`` is a special optimised instance of ``tqdm(range(i))``: .. code:: python from tqdm import trange for i in trange(100): sleep(0.01) Instantiation outside of the loop allows for manual control over ``tqdm()``: .. code:: python pbar = tqdm(["a", "b", "c", "d"]) for char in pbar: sleep(0.25) pbar.set_description("Processing %s" % char) Manual ~~~~~~ Manual control of ``tqdm()`` updates using a ``with`` statement: .. code:: python with tqdm(total=100) as pbar: for i in range(10): sleep(0.1) pbar.update(10) If the optional variable ``total`` (or an iterable with ``len()``) is provided, predictive stats are displayed. ``with`` is also optional (you can just assign ``tqdm()`` to a variable, but in this case don't forget to ``del`` or ``close()`` at the end: .. code:: python pbar = tqdm(total=100) for i in range(10): sleep(0.1) pbar.update(10) pbar.close() Module ~~~~~~ Perhaps the most wonderful use of ``tqdm`` is in a script or on the command line. Simply inserting ``tqdm`` (or ``python -m tqdm``) between pipes will pass through all ``stdin`` to ``stdout`` while printing progress to ``stderr``. The example below demonstrate counting the number of lines in all Python files in the current directory, with timing information included. .. code:: sh $ time find . -name '*.py' -type f -exec cat \{} \; | wc -l 857365 real 0m3.458s user 0m0.274s sys 0m3.325s $ time find . -name '*.py' -type f -exec cat \{} \; | tqdm | wc -l 857366it [00:03, 246471.31it/s] 857365 real 0m3.585s user 0m0.862s sys 0m3.358s Note that the usual arguments for ``tqdm`` can also be specified. .. code:: sh $ find . -name '*.py' -type f -exec cat \{} \; | tqdm --unit loc --unit_scale --total 857366 >> /dev/null 100%|█████████████████████████████████| 857K/857K [00:04<00:00, 246Kloc/s] Backing up a large directory? .. code:: sh $ tar -zcf - docs/ | tqdm --bytes --total `du -sb docs/ | cut -f1` \ > backup.tgz 44%|██████████████▊ | 153M/352M [00:14<00:18, 11.0MB/s] This can be beautified further: .. code:: sh $ BYTES="$(du -sb docs/ | cut -f1)" $ tar -cf - docs/ \ | tqdm --bytes --total "$BYTES" --desc Processing | gzip \ | tqdm --bytes --total "$BYTES" --desc Compressed --position 1 \ > ~/backup.tgz Processing: 100%|██████████████████████| 352M/352M [00:14<00:00, 30.2MB/s] Compressed: 42%|█████████▎ | 148M/352M [00:14<00:19, 10.9MB/s] Or done on a file level using 7-zip: .. code:: sh $ 7z a -bd -r backup.7z docs/ | grep Compressing \ | tqdm --total $(find docs/ -type f | wc -l) --unit files \ | grep -v Compressing 100%|██████████████████████████▉| 15327/15327 [01:00<00:00, 712.96files/s] Pre-existing CLI programs already outputting basic progress information will benefit from ``tqdm``'s ``--update`` and ``--update_to`` flags: .. code:: sh $ seq 3 0.1 5 | tqdm --total 5 --update_to --null 100%|████████████████████████████████████| 5.0/5 [00:00<00:00, 9673.21it/s] $ seq 10 | tqdm --update --null # 1 + 2 + ... + 10 = 55 iterations 55it [00:00, 90006.52it/s] FAQ and Known Issues -------------------- |GitHub-Issues| The most common issues relate to excessive output on multiple lines, instead of a neat one-line progress bar. - Consoles in general: require support for carriage return (``CR``, ``\r``). - Nested progress bars: * Consoles in general: require support for moving cursors up to the previous line. For example, `IDLE `__, `ConEmu `__ and `PyCharm `__ (also `here `__, `here `__, and `here `__) lack full support. * Windows: additionally may require the Python module ``colorama`` to ensure nested bars stay within their respective lines. - Unicode: * Environments which report that they support unicode will have solid smooth progressbars. The fallback is an ``ascii``-only bar. * Windows consoles often only partially support unicode and thus `often require explicit ascii=True `__ (also `here `__). This is due to either normal-width unicode characters being incorrectly displayed as "wide", or some unicode characters not rendering. - Wrapping generators: * Generator wrapper functions tend to hide the length of iterables. ``tqdm`` does not. * Replace ``tqdm(enumerate(...))`` with ``enumerate(tqdm(...))`` or ``tqdm(enumerate(x), total=len(x), ...)``. The same applies to ``numpy.ndenumerate``. * Replace ``tqdm(zip(a, b))`` with ``zip(tqdm(a), b)`` or even ``zip(tqdm(a), tqdm(b))``. * The same applies to ``itertools``. * Some useful convenience functions can be found under ``tqdm.contrib``. - `Hanging pipes in python2 `__: when using ``tqdm`` on the CLI, you may need to use Python 3.5+ for correct buffering. - `No intermediate output in docker-compose `__: use ``docker-compose run`` instead of ``docker-compose up`` and ``tty: true``. If you come across any other difficulties, browse and file |GitHub-Issues|. Documentation ------------- |Py-Versions| |README-Hits| (Since 19 May 2016) .. code:: python class tqdm(): """ Decorate an iterable object, returning an iterator which acts exactly like the original iterable, but prints a dynamically updating progressbar every time a value is requested. """ def __init__(self, iterable=None, desc=None, total=None, leave=True, file=None, ncols=None, mininterval=0.1, maxinterval=10.0, miniters=None, ascii=None, disable=False, unit='it', unit_scale=False, dynamic_ncols=False, smoothing=0.3, bar_format=None, initial=0, position=None, postfix=None, unit_divisor=1000): Parameters ~~~~~~~~~~ * iterable : iterable, optional Iterable to decorate with a progressbar. Leave blank to manually manage the updates. * desc : str, optional Prefix for the progressbar. * total : int or float, optional The number of expected iterations. If unspecified, len(iterable) is used if possible. If float("inf") or as a last resort, only basic progress statistics are displayed (no ETA, no progressbar). If ``gui`` is True and this parameter needs subsequent updating, specify an initial arbitrary large positive number, e.g. 9e9. * leave : bool, optional If [default: True], keeps all traces of the progressbar upon termination of iteration. If ``None``, will leave only if ``position`` is ``0``. * file : ``io.TextIOWrapper`` or ``io.StringIO``, optional Specifies where to output the progress messages (default: sys.stderr). Uses ``file.write(str)`` and ``file.flush()`` methods. For encoding, see ``write_bytes``. * ncols : int, optional The width of the entire output message. If specified, dynamically resizes the progressbar to stay within this bound. If unspecified, attempts to use environment width. The fallback is a meter width of 10 and no limit for the counter and statistics. If 0, will not print any meter (only stats). * mininterval : float, optional Minimum progress display update interval [default: 0.1] seconds. * maxinterval : float, optional Maximum progress display update interval [default: 10] seconds. Automatically adjusts ``miniters`` to correspond to ``mininterval`` after long display update lag. Only works if ``dynamic_miniters`` or monitor thread is enabled. * miniters : int or float, optional Minimum progress display update interval, in iterations. If 0 and ``dynamic_miniters``, will automatically adjust to equal ``mininterval`` (more CPU efficient, good for tight loops). If > 0, will skip display of specified number of iterations. Tweak this and ``mininterval`` to get very efficient loops. If your progress is erratic with both fast and slow iterations (network, skipping items, etc) you should set miniters=1. * ascii : bool or str, optional If unspecified or False, use unicode (smooth blocks) to fill the meter. The fallback is to use ASCII characters " 123456789#". * disable : bool, optional Whether to disable the entire progressbar wrapper [default: False]. If set to None, disable on non-TTY. * unit : str, optional String that will be used to define the unit of each iteration [default: it]. * unit_scale : bool or int or float, optional If 1 or True, the number of iterations will be reduced/scaled automatically and a metric prefix following the International System of Units standard will be added (kilo, mega, etc.) [default: False]. If any other non-zero number, will scale ``total`` and ``n``. * dynamic_ncols : bool, optional If set, constantly alters ``ncols`` and ``nrows`` to the environment (allowing for window resizes) [default: False]. * smoothing : float, optional Exponential moving average smoothing factor for speed estimates (ignored in GUI mode). Ranges from 0 (average speed) to 1 (current/instantaneous speed) [default: 0.3]. * bar_format : str, optional Specify a custom bar string formatting. May impact performance. [default: '{l_bar}{bar}{r_bar}'], where l_bar='{desc}: {percentage:3.0f}%|' and r_bar='| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, ' '{rate_fmt}{postfix}]' Possible vars: l_bar, bar, r_bar, n, n_fmt, total, total_fmt, percentage, elapsed, elapsed_s, ncols, nrows, desc, unit, rate, rate_fmt, rate_noinv, rate_noinv_fmt, rate_inv, rate_inv_fmt, postfix, unit_divisor, remaining, remaining_s, eta. Note that a trailing ": " is automatically removed after {desc} if the latter is empty. * initial : int or float, optional The initial counter value. Useful when restarting a progress bar [default: 0]. If using float, consider specifying ``{n:.3f}`` or similar in ``bar_format``, or specifying ``unit_scale``. * position : int, optional Specify the line offset to print this bar (starting from 0) Automatic if unspecified. Useful to manage multiple bars at once (eg, from threads). * postfix : dict or ``*``, optional Specify additional stats to display at the end of the bar. Calls ``set_postfix(**postfix)`` if possible (dict). * unit_divisor : float, optional [default: 1000], ignored unless ``unit_scale`` is True. * write_bytes : bool, optional If (default: None) and ``file`` is unspecified, bytes will be written in Python 2. If ``True`` will also write bytes. In all other cases will default to unicode. * lock_args : tuple, optional Passed to ``refresh`` for intermediate output (initialisation, iterating, and updating). * nrows : int, optional The screen height. If specified, hides nested bars outside this bound. If unspecified, attempts to use environment height. The fallback is 20. * colour : str, optional Bar colour (e.g. 'green', '#00ff00'). * delay : float, optional Don't display until [default: 0] seconds have elapsed. Extra CLI Options ~~~~~~~~~~~~~~~~~ * delim : chr, optional Delimiting character [default: '\n']. Use '\0' for null. N.B.: on Windows systems, Python converts '\n' to '\r\n'. * buf_size : int, optional String buffer size in bytes [default: 256] used when ``delim`` is specified. * bytes : bool, optional If true, will count bytes, ignore ``delim``, and default ``unit_scale`` to True, ``unit_divisor`` to 1024, and ``unit`` to 'B'. * tee : bool, optional If true, passes ``stdin`` to both ``stderr`` and ``stdout``. * update : bool, optional If true, will treat input as newly elapsed iterations, i.e. numbers to pass to ``update()``. Note that this is slow (~2e5 it/s) since every input must be decoded as a number. * update_to : bool, optional If true, will treat input as total elapsed iterations, i.e. numbers to assign to ``self.n``. Note that this is slow (~2e5 it/s) since every input must be decoded as a number. * null : bool, optional If true, will discard input (no stdout). * manpath : str, optional Directory in which to install tqdm man pages. * comppath : str, optional Directory in which to place tqdm completion. * log : str, optional CRITICAL|FATAL|ERROR|WARN(ING)|[default: 'INFO']|DEBUG|NOTSET. Returns ~~~~~~~ * out : decorated iterator. .. code:: python class tqdm(): def update(self, n=1): """ Manually update the progress bar, useful for streams such as reading files. E.g.: >>> t = tqdm(total=filesize) # Initialise >>> for current_buffer in stream: ... ... ... t.update(len(current_buffer)) >>> t.close() The last line is highly recommended, but possibly not necessary if ``t.update()`` will be called in such a way that ``filesize`` will be exactly reached and printed. Parameters ---------- n : int or float, optional Increment to add to the internal counter of iterations [default: 1]. If using float, consider specifying ``{n:.3f}`` or similar in ``bar_format``, or specifying ``unit_scale``. Returns ------- out : bool or None True if a ``display()`` was triggered. """ def close(self): """Cleanup and (if leave=False) close the progressbar.""" def clear(self, nomove=False): """Clear current bar display.""" def refresh(self): """ Force refresh the display of this bar. Parameters ---------- nolock : bool, optional If ``True``, does not lock. If [default: ``False``]: calls ``acquire()`` on internal lock. lock_args : tuple, optional Passed to internal lock's ``acquire()``. If specified, will only ``display()`` if ``acquire()`` returns ``True``. """ def unpause(self): """Restart tqdm timer from last print time.""" def reset(self, total=None): """ Resets to 0 iterations for repeated use. Consider combining with ``leave=True``. Parameters ---------- total : int or float, optional. Total to use for the new bar. """ def set_description(self, desc=None, refresh=True): """ Set/modify description of the progress bar. Parameters ---------- desc : str, optional refresh : bool, optional Forces refresh [default: True]. """ def set_postfix(self, ordered_dict=None, refresh=True, **tqdm_kwargs): """ Set/modify postfix (additional stats) with automatic formatting based on datatype. Parameters ---------- ordered_dict : dict or OrderedDict, optional refresh : bool, optional Forces refresh [default: True]. kwargs : dict, optional """ @classmethod def write(cls, s, file=sys.stdout, end="\n"): """Print a message via tqdm (without overlap with bars).""" @property def format_dict(self): """Public API for read-only member access.""" def display(self, msg=None, pos=None): """ Use ``self.sp`` to display ``msg`` in the specified ``pos``. Consider overloading this function when inheriting to use e.g.: ``self.some_frontend(**self.format_dict)`` instead of ``self.sp``. Parameters ---------- msg : str, optional. What to display (default: ``repr(self)``). pos : int, optional. Position to ``moveto`` (default: ``abs(self.pos)``). """ @classmethod @contextmanager def wrapattr(cls, stream, method, total=None, bytes=True, **tqdm_kwargs): """ stream : file-like object. method : str, "read" or "write". The result of ``read()`` and the first argument of ``write()`` should have a ``len()``. >>> with tqdm.wrapattr(file_obj, "read", total=file_obj.size) as fobj: ... while True: ... chunk = fobj.read(chunk_size) ... if not chunk: ... break """ @classmethod def pandas(cls, *targs, **tqdm_kwargs): """Registers the current `tqdm` class with `pandas`.""" def trange(*args, **tqdm_kwargs): """ A shortcut for `tqdm(xrange(*args), **tqdm_kwargs)`. On Python3+, `range` is used instead of `xrange`. """ Convenience Functions ~~~~~~~~~~~~~~~~~~~~~ .. code:: python def tqdm.contrib.tenumerate(iterable, start=0, total=None, tqdm_class=tqdm.auto.tqdm, **tqdm_kwargs): """Equivalent of `numpy.ndenumerate` or builtin `enumerate`.""" def tqdm.contrib.tzip(iter1, *iter2plus, **tqdm_kwargs): """Equivalent of builtin `zip`.""" def tqdm.contrib.tmap(function, *sequences, **tqdm_kwargs): """Equivalent of builtin `map`.""" Submodules ~~~~~~~~~~ .. code:: python class tqdm.notebook.tqdm(tqdm.tqdm): """IPython/Jupyter Notebook widget.""" class tqdm.auto.tqdm(tqdm.tqdm): """Automatically chooses beween `tqdm.notebook` and `tqdm.tqdm`.""" class tqdm.asyncio.tqdm(tqdm.tqdm): """Asynchronous version.""" @classmethod def as_completed(cls, fs, *, loop=None, timeout=None, total=None, **tqdm_kwargs): """Wrapper for `asyncio.as_completed`.""" class tqdm.gui.tqdm(tqdm.tqdm): """Matplotlib GUI version.""" class tqdm.tk.tqdm(tqdm.tqdm): """Tkinter GUI version.""" class tqdm.rich.tqdm(tqdm.tqdm): """`rich.progress` version.""" class tqdm.keras.TqdmCallback(keras.callbacks.Callback): """Keras callback for epoch and batch progress.""" class tqdm.dask.TqdmCallback(dask.callbacks.Callback): """Dask callback for task progress.""" ``contrib`` +++++++++++ The ``tqdm.contrib`` package also contains experimental modules: - ``tqdm.contrib.itertools``: Thin wrappers around ``itertools`` - ``tqdm.contrib.concurrent``: Thin wrappers around ``concurrent.futures`` - ``tqdm.contrib.slack``: Posts to `Slack `__ bots - ``tqdm.contrib.discord``: Posts to `Discord `__ bots - ``tqdm.contrib.telegram``: Posts to `Telegram `__ bots - ``tqdm.contrib.bells``: Automagically enables all optional features * ``auto``, ``pandas``, ``slack``, ``discord``, ``telegram`` Examples and Advanced Usage --------------------------- - See the `examples `__ folder; - import the module and run ``help()``; - consult the `wiki `__; * this has an `excellent article `__ on how to make a **great** progressbar; - check out the `slides from PyData London `__, or - run the |binder-demo|. Description and additional stats ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Custom information can be displayed and updated dynamically on ``tqdm`` bars with the ``desc`` and ``postfix`` arguments: .. code:: python from tqdm import tqdm, trange from random import random, randint from time import sleep with trange(10) as t: for i in t: # Description will be displayed on the left t.set_description('GEN %i' % i) # Postfix will be displayed on the right, # formatted automatically based on argument's datatype t.set_postfix(loss=random(), gen=randint(1,999), str='h', lst=[1, 2]) sleep(0.1) with tqdm(total=10, bar_format="{postfix[0]} {postfix[1][value]:>8.2g}", postfix=["Batch", dict(value=0)]) as t: for i in range(10): sleep(0.1) t.postfix[1]["value"] = i / 2 t.update() Points to remember when using ``{postfix[...]}`` in the ``bar_format`` string: - ``postfix`` also needs to be passed as an initial argument in a compatible 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. Additional ``bar_format`` parameters may also be defined by overriding ``format_dict``, and the bar itself may be modified using ``ascii``: .. code:: python from tqdm import tqdm class TqdmExtraFormat(tqdm): """Provides a `total_time` format parameter""" @property def format_dict(self): d = super(TqdmExtraFormat, self).format_dict total_time = d["elapsed"] * (d["total"] or 0) / max(d["n"], 1) d.update(total_time=self.format_interval(total_time) + " in total") return d for i in TqdmExtraFormat( range(9), ascii=" .oO0", bar_format="{total_time}: {percentage:.0f}%|{bar}{r_bar}"): if i == 4: break .. code:: 00:00 in total: 44%|0000. | 4/9 [00:00<00:00, 962.93it/s] Note that ``{bar}`` also supports a format specifier ``[width][type]``. - ``width`` * unspecified (default): automatic to fill ``ncols`` * ``int >= 0``: fixed width overriding ``ncols`` logic * ``int < 0``: subtract from the automatic default - ``type`` * ``a``: ascii (``ascii=True`` override) * ``u``: unicode (``ascii=False`` override) * ``b``: blank (``ascii=" "`` override) This means a fixed bar with right-justified text may be created by using: ``bar_format="{l_bar}{bar:10}|{bar:-10b}right-justified"`` Nested progress bars ~~~~~~~~~~~~~~~~~~~~ ``tqdm`` supports nested progress bars. Here's an example: .. code:: python from tqdm.auto import trange from time import sleep for i in trange(4, desc='1st loop'): for j in trange(5, desc='2nd loop'): for k in trange(50, desc='3rd loop', leave=False): sleep(0.01) For manual control over positioning (e.g. for multi-processing use), you may specify ``position=n`` where ``n=0`` for the outermost bar, ``n=1`` for the next, and so on. However, it's best to check if ``tqdm`` can work without manual ``position`` first. .. code:: python from time import sleep from tqdm import trange, tqdm from multiprocessing import Pool, RLock, freeze_support L = list(range(9)) def progresser(n): interval = 0.001 / (n + 2) total = 5000 text = "#{}, est. {:<04.2}s".format(n, interval * total) for _ in trange(total, desc=text, position=n): sleep(interval) if __name__ == '__main__': freeze_support() # for Windows support tqdm.set_lock(RLock()) # for managing output contention p = Pool(initializer=tqdm.set_lock, initargs=(tqdm.get_lock(),)) p.map(progresser, L) Note that in Python 3, ``tqdm.write`` is thread-safe: .. code:: python from time import sleep from tqdm import tqdm, trange from concurrent.futures import ThreadPoolExecutor L = list(range(9)) def progresser(n): interval = 0.001 / (n + 2) total = 5000 text = "#{}, est. {:<04.2}s".format(n, interval * total) for _ in trange(total, desc=text): sleep(interval) if n == 6: tqdm.write("n == 6 completed.") tqdm.write("`tqdm.write()` is thread-safe in py3!") if __name__ == '__main__': with ThreadPoolExecutor() as p: p.map(progresser, L) 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 urllib = getattr(urllib, 'request', urllib) 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 return self.update(b * bsize - self.n) # also sets self.n = b * bsize eg_link = "https://caspersci.uk.to/matryoshka.zip" with TqdmUpTo(unit='B', unit_scale=True, unit_divisor=1024, 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) t.total = t.n Inspired by `twine#242 `__. Functional alternative in `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). **Wrapping read/write methods** To measure throughput through a file-like object's ``read`` or ``write`` methods, use ``CallbackIOWrapper``: .. code:: python from tqdm.auto import tqdm from tqdm.utils import CallbackIOWrapper with tqdm(total=file_obj.size, unit='B', unit_scale=True, unit_divisor=1024) as t: fobj = CallbackIOWrapper(t.update, file_obj, "read") while True: chunk = fobj.read(chunk_size) if not chunk: break t.reset() # ... continue to use `t` for something else Alternatively, use the even simpler ``wrapattr`` convenience function, which would condense both the ``urllib`` and ``CallbackIOWrapper`` examples down to: .. code:: python import urllib, os from tqdm import tqdm eg_link = "https://caspersci.uk.to/matryoshka.zip" response = getattr(urllib, 'request', urllib).urlopen(eg_link) with tqdm.wrapattr(open(os.devnull, "wb"), "write", miniters=1, desc=eg_link.split('/')[-1], total=getattr(response, 'length', None)) as fout: for chunk in response: fout.write(chunk) The ``requests`` equivalent is nearly identical: .. code:: python import requests, os from tqdm import tqdm eg_link = "https://caspersci.uk.to/matryoshka.zip" response = requests.get(eg_link, stream=True) with tqdm.wrapattr(open(os.devnull, "wb"), "write", miniters=1, desc=eg_link.split('/')[-1], total=int(response.headers.get('content-length', 0))) as fout: for chunk in response.iter_content(chunk_size=4096): fout.write(chunk) **Custom callback** ``tqdm`` is known for intelligently skipping unnecessary displays. To make a custom callback take advantage of this, simply use the return value of ``update()``. This is set to ``True`` if a ``display()`` was triggered. .. code:: python from tqdm.auto import tqdm as std_tqdm def external_callback(*args, **kwargs): ... class TqdmExt(std_tqdm): def update(self, n=1): displayed = super(TqdmExt, self).update(n) if displayed: external_callback(**self.format_dict) return displayed ``asyncio`` ~~~~~~~~~~~ Note that ``break`` isn't currently caught by asynchronous iterators. This means that ``tqdm`` cannot clean up after itself in this case: .. code:: python from tqdm.asyncio import tqdm async for i in tqdm(range(9)): if i == 2: break Instead, either call ``pbar.close()`` manually or use the context manager syntax: .. code:: python from tqdm.asyncio import tqdm with tqdm(range(9)) as pbar: async for i in pbar: if i == 2: break 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`, `tqdm.notebook.tqdm`, 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 `__ folder or import the module and run ``help()``. Keras Integration ~~~~~~~~~~~~~~~~~ A ``keras`` callback is also available: .. code:: python from tqdm.keras import TqdmCallback ... model.fit(..., verbose=0, callbacks=[TqdmCallback()]) Dask Integration ~~~~~~~~~~~~~~~~ A ``dask`` callback is also available: .. code:: python from tqdm.dask import TqdmCallback with TqdmCallback(desc="compute"): ... arr.compute() # or use callback globally cb = TqdmCallback(desc="global") cb.register() arr.compute() IPython/Jupyter Integration ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ IPython/Jupyter is supported via the ``tqdm.notebook`` submodule: .. code:: python from tqdm.notebook import trange, tqdm from time import sleep for i in trange(3, desc='1st loop'): for j in tqdm(range(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 colour hints (blue: normal, green: completed, red: error/interrupt, light blue: no ETA); as demonstrated below. |Screenshot-Jupyter1| |Screenshot-Jupyter2| |Screenshot-Jupyter3| The ``notebook`` version supports percentage or pixels for overall width (e.g.: ``ncols='100%'`` or ``ncols='480px'``). It is also possible to let ``tqdm`` automatically choose between console or notebook versions by using the ``autonotebook`` submodule: .. code:: python from tqdm.autonotebook import tqdm tqdm.pandas() Note that this will issue a ``TqdmExperimentalWarning`` if run in a notebook since it is not meant to be possible to distinguish between ``jupyter notebook`` and ``jupyter console``. Use ``auto`` instead of ``autonotebook`` to suppress this warning. Note that notebooks will display the bar in the cell where it was created. This may be a different cell from the one where it is used. If this is not desired, either - delay the creation of the bar to the cell where it must be displayed, or - create the bar with ``display=False``, and in a later cell call ``display(bar.container)``: .. code:: python from tqdm.notebook import tqdm pbar = tqdm(..., display=False) .. code:: python # different cell display(pbar.container) The ``keras`` callback has a ``display()`` method which can be used likewise: .. code:: python from tqdm.keras import TqdmCallback cbk = TqdmCallback(display=False) .. code:: python # different cell cbk.display() model.fit(..., verbose=0, callbacks=[cbk]) Another possibility is to have a single bar (near the top of the notebook) which is constantly re-used (using ``reset()`` rather than ``close()``). For this reason, the notebook version (unlike the CLI version) does not automatically call ``close()`` upon ``Exception``. .. code:: python from tqdm.notebook import tqdm pbar = tqdm() .. code:: python # different cell iterable = range(100) pbar.reset(total=len(iterable)) # initialise with new `total` for i in iterable: pbar.update() pbar.refresh() # force print final status but don't `close()` Custom Integration ~~~~~~~~~~~~~~~~~~ To change the default arguments (such as making ``dynamic_ncols=True``), simply use built-in Python magic: .. code:: python from functools import partial from tqdm import tqdm as std_tqdm tqdm = partial(std_tqdm, dynamic_ncols=True) For further customisation, ``tqdm`` may be inherited from to create custom callbacks (as with the ``TqdmUpTo`` example `above <#hooks-and-callbacks>`__) or for custom frontends (e.g. GUIs such as notebook or plotting packages). In the latter case: 1. ``def __init__()`` to call ``super().__init__(..., gui=True)`` to disable terminal ``status_printer`` creation. 2. Redefine: ``close()``, ``clear()``, ``display()``. Consider overloading ``display()`` to use e.g. ``self.frontend(**self.format_dict)`` instead of ``self.sp(repr(self))``. Some submodule examples of inheritance: - `tqdm/notebook.py `__ - `tqdm/gui.py `__ - `tqdm/tk.py `__ - `tqdm/contrib/slack.py `__ - `tqdm/contrib/discord.py `__ - `tqdm/contrib/telegram.py `__ Dynamic Monitor/Meter ~~~~~~~~~~~~~~~~~~~~~ You can use a ``tqdm`` as a meter which is not monotonically increasing. This could be because ``n`` decreases (e.g. a CPU usage monitor) or ``total`` changes. One example would be recursively searching for files. The ``total`` is the number of objects found so far, while ``n`` is the number of those objects which are files (rather than folders): .. code:: python from tqdm import tqdm import os.path def find_files_recursively(path, show_progress=True): files = [] # total=1 assumes `path` is a file t = tqdm(total=1, unit="file", disable=not show_progress) if not os.path.exists(path): raise IOError("Cannot find:" + path) def append_found_file(f): files.append(f) t.update() def list_found_dir(path): """returns os.listdir(path) assuming os.path.isdir(path)""" listing = os.listdir(path) # subtract 1 since a "file" we found was actually this directory t.total += len(listing) - 1 # fancy way to give info without forcing a refresh t.set_postfix(dir=path[-10:], refresh=False) t.update(0) # may trigger a refresh return listing def recursively_search(path): if os.path.isdir(path): for f in list_found_dir(path): recursively_search(os.path.join(path, f)) else: append_found_file(path) recursively_search(path) t.set_postfix(dir=path) t.close() return files Using ``update(0)`` is a handy way to let ``tqdm`` decide when to trigger a display refresh to avoid console spamming. Writing messages ~~~~~~~~~~~~~~~~ This is a work in progress (see `#737 `__). 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.auto 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 from tqdm.contrib import DummyTqdmFile @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!") Redirecting ``logging`` ~~~~~~~~~~~~~~~~~~~~~~~ Similar to ``sys.stdout``/``sys.stderr`` as detailed above, console ``logging`` may also be redirected to ``tqdm.write()``. Warning: if also redirecting ``sys.stdout``/``sys.stderr``, make sure to redirect ``logging`` first if needed. Helper methods are available in ``tqdm.contrib.logging``. For example: .. code:: python import logging from tqdm import trange from tqdm.contrib.logging import logging_redirect_tqdm LOG = logging.getLogger(__name__) if __name__ == '__main__': logging.basicConfig(level=logging.INFO) with logging_redirect_tqdm(): for i in trange(9): if i == 4: LOG.info("console logging redirected to `tqdm.write()`") # logging restored Monitoring thread, intervals and miniters ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ``tqdm`` implements a few tricks 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 display 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 instantiation of any ``tqdm`` bar. Merch ----- You can buy `tqdm branded merch `__ now! Contributions ------------- |GitHub-Commits| |GitHub-Issues| |GitHub-PRs| |OpenHub-Status| |GitHub-Contributions| |CII Best Practices| All source code is hosted on `GitHub `__. Contributions are welcome. See the `CONTRIBUTING `__ file for more information. Developers who have made significant contributions, ranked by *SLoC* (surviving lines of code, `git fame `__ ``-wMC --excl '\.(png|gif|jpg)$'``), are: ==================== ======================================================== ==== ================================ Name ID SLoC Notes ==================== ======================================================== ==== ================================ Casper da Costa-Luis `casperdcl `__ ~78% primary maintainer |Gift-Casper| Stephen Larroque `lrq3000 `__ ~10% team member Martin Zugnoni `martinzugnoni `__ ~4% Daniel Ecer `de-code `__ ~2% Richard Sheridan `richardsheridan `__ ~1% Guangshuo Chen `chengs `__ ~1% Kyle Altendorf `altendky `__ <1% Matthew Stevens `mjstevens777 `__ <1% Hadrien Mary `hadim `__ <1% team member Noam Yorav-Raphael `noamraph `__ <1% original author Mikhail Korobov `kmike `__ <1% team member ==================== ======================================================== ==== ================================ Ports to Other Languages ~~~~~~~~~~~~~~~~~~~~~~~~ A list is available on `this wiki page `__. 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