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tqdm 사용법 – python 진행률 프로세스바

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Summary of article content: Articles about tqdm 사용법 – python 진행률 프로세스바 파이썬 모듈중에 tqdm이라는 것이 이 용도로 쓰이고 있다. 사용법. tqdm is very versatile and can be used in a number of ways. The three main ones … …
Most searched keywords: Whether you are looking for tqdm 사용법 – python 진행률 프로세스바 파이썬 모듈중에 tqdm이라는 것이 이 용도로 쓰이고 있다. 사용법. tqdm is very versatile and can be used in a number of ways. The three main ones … 파이썬으로 어떤 작업을 수행중인데, 프로그램이 내가 의도한 데로 돌아가고 있는 중인가, 진행상황이 궁금할 때가 있다. 시간이 걸리는 작업의 경우에 더 이런 상태 확인이 필요하다. 파이썬 모듈중에 tqdm이라는..
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tqdm 사용법 - python 진행률 프로세스바 — tqdm 사용법 – python 진행률 프로세스바

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Summary of article content: Articles about 파이썬 반복문 어디까지 진행되었는지 표시하기: tqdm 라이브러리 파이썬에는 이럴 때 사용할 수 있는 tqdm 라이브러리가 있습니다. 이 라이브러리를 이용하면 진행 상황을 Progress Bar 형태로 한눈에 확인할 수 … …
Most searched keywords: Whether you are looking for 파이썬 반복문 어디까지 진행되었는지 표시하기: tqdm 라이브러리 파이썬에는 이럴 때 사용할 수 있는 tqdm 라이브러리가 있습니다. 이 라이브러리를 이용하면 진행 상황을 Progress Bar 형태로 한눈에 확인할 수 … 반복문을 돌리면 작업이 어디까지 진행된 건지, 되고는 있는 건지 궁금할 때가 많이 있습니다. 주피터 노트북 화면을 바라보며 반복문을 돌린 셀의 별표가 사라지길 계속 기다리기도 조금 답답합니다. 이럴 때 진..
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Summary of article content: Articles about [Python] 파이썬 프로그레스바(Progress Bar) tqdm 사용 방법 : nested progress bar – 정보의 공유 사회 파이썬 모듈을 명령프롬프트창에서 pip istall 모듈 명령어로 실행하면 … 프로그레스바를 사용하기위해 tqdm모듈을 사용합니다. tqdm 설치 방법 … …
Most searched keywords: Whether you are looking for [Python] 파이썬 프로그레스바(Progress Bar) tqdm 사용 방법 : nested progress bar – 정보의 공유 사회 파이썬 모듈을 명령프롬프트창에서 pip istall 모듈 명령어로 실행하면 … 프로그레스바를 사용하기위해 tqdm모듈을 사용합니다. tqdm 설치 방법 … 파이썬 모듈을 명령프롬프트창에서 pip istall 모듈 명령어로 실행하면 진행상태바가 나타납니다. 0%에서 시작해서 100%에 도달하는 프로그레스바(Progress Bar)를 보셨을 겁니다. 프로그레스바를 사용하기위해 tq..정보는 공유되어야한다.
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[Python] 파이썬 프로그레스바(Progress Bar) tqdm 사용 방법 : nested progress bar - 정보의 공유 사회 — [Python] 파이썬 프로그레스바(Progress Bar) tqdm 사용 방법 : nested progress bar – 정보의 공유 사회

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Summary of article content: Articles about tqdm 이란 – 파이썬 상태 바 라이브러리 dataloader을 통해 data를 download할 때, 상태바를 넣어두는 경우가 있다. from tqdm import tqdm. tqdm이란, 상태 진행(progress) 을 보여주는 파이썬 … …
Most searched keywords: Whether you are looking for tqdm 이란 – 파이썬 상태 바 라이브러리 dataloader을 통해 data를 download할 때, 상태바를 넣어두는 경우가 있다. from tqdm import tqdm. tqdm이란, 상태 진행(progress) 을 보여주는 파이썬 … tqdm 이란 dataloader을 통해 data를 download할 때, 상태바를 넣어두는 경우가 있다. from tqdm import tqdm tqdm이란, 상태 진행(progress) 을 보여주는 파이썬 라이브러리 이다 코드 예시 1. tqdm(iterable) tq..
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tqdm 사용법 – python 진행률 프로세스바

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파이썬으로 어떤 작업을 수행중인데, 프로그램이 내가 의도한 데로 돌아가고 있는 중인가, 진행상황이 궁금할 때가 있다. 시간이 걸리는 작업의 경우에 더 이런 상태 확인이 필요하다.

파이썬 모듈중에 tqdm이라는 것이 이 용도로 쓰이고 있다.

사용법

tqdm is very versatile and can be used in a number of ways. The three main ones are given below.

tqdm은 아주 변하기 쉽고 많은 방법으로 사용될 수 있다. 아래 세가지 주요 방법들이 있다.

Wrap tqdm() around any iterable:

어느 이터러블이든 tqdm()로 감싼다. 리스트도 가능. 이터러블이 증가하는 것에 따라서, 진행률 증가.

from tqdm import tqdm import time text = “” for char in tqdm([“a”, “b”, “c”, “d”]): time.sleep(0.25) text = text + char

100%|██████████| 4/4 [00:01<00:00, 3.93it/s] range(100)같은 것도 감싸면됨. 옵션 desc 에 진행 작업에 대한 설명을 추가 가능하다. 옵션 mininterval에 최소 업데이트 주기를 설정 가능하다. from tqdm import tqdm import time for ii in tqdm(range(100), desc="tqdm example", mininterval=0.01): # print(ii) time.sleep(0.1) tqdm example: 100%|██████████| 100/100 [00:10<00:00, 9.78it/s] tqdm파라미터 설명 iterable : 반복자 객체 desc : 진행바 앞에 텍스트 출력 total : int, 전체 반복량 leave : bool, default로 True. (진행상태 잔상이 남음) ncols : 진행바 컬럼길이. width 값으로 pixel 단위로 보임. mininterval, maxinterval : 업데이트 주기. 기본은 mininterval=0.1 sec, maxinterval=10 sec miniters : Minimum progress display update interval, in iterations. ascii : True로 하면 '#'문자로 진행바가 표시됨. initial : 진행 시작값. 기본은 0 bar_format : str 전체 작업량을 알고 있고, 처리된 량으로 진행바를 표시할 경우에, update()로 진행량 추가 메소드 clear() : 삭제 refresh() : 강제 갱신 trange(i) is a special optimised instance of tqdm(range(i)): trange(i)는 특별한 최적화 인스턴스다. tqdm(range(i))와 같은 기능이다. for i in trange(100): time.sleep(0.01) 100%|██████████| 100/100 [00:01<00:00, 91.13it/s] Instantiation outside of the loop allows for manual control over tqdm(): 루프 밖에서 수동 tqdm 인스턴스 선언이 허용된다. pbar = tqdm(["a", "b", "c", "d"]) for char in pbar: time.sleep(0.25) pbar.set_description("Processing %s" % char) Processing d: 100%|██████████| 4/4 [00:01<00:00, 3.93it/s] Manual control on tqdm() updates by using a with statement: with구문을 사용해서 tqdm을 수동으로 컨트롤한다. update()로 수동으로 진행률을 증가 시킨다. with tqdm(total=100) as pbar: for i in range(10): time.sleep(0.1) pbar.update(10) #10씩 증가 100%|██████████| 100/100 [00:01<00:00, 97.84it/s] If the optional variable total (or an iterable with len()) is provided, predictive stats are displayed. 옵션 total이 제공되면, 예상되는 현재 상태가 디스플레이된다. 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: with적용하는 것도 옵션중 하나이다. 너가 그냥 tqdm함수만을 변수에 할당할 수도 있는데, 이렇게 쓰는 경우에는 끝에 del이나 close하는 것을 잊지마라. pbar = tqdm(total=100) for i in range(10): time.sleep(0.1) pbar.update(10) pbar.close() 100%|██████████| 100/100 [00:01<00:00, 98.05it/s] Perhaps the most wonderful use of tqdm is in a script or on the command line. 아마 가장 엄청난 tqdm사용법은 스크립트나 커맨드라인 안에 있다. Simply inserting tqdm (or python -m tqdm) between pipes will pass through all stdin to stdout while printing progress to stderr. 간단하게 tqdm(이나 python -m tqdm)을 pipe들 사이에 넣는다. stdin에서 stdout을 통과해서 지나가도록 한다. The example below demonstrated counting the number of lines in all Python files in the current directory, with timing information included. 아래 예제는 현재 디렉토리내에 모든 python file내의 라인 숫자를 카운팅한다. 타이밍 정보를 포함한다. $ 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. 보통 tqdm인자들은 또한 특정화될 수 있다. $ 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? 큰 디렉토리를 백업 하시겠습니까? $ 7z a -bd -r backup.7z docs/ | grep Compressing | tqdm --total $(find docs/ -type f | wc -l) --unit files >> backup.log 100%|███████████████████████████████▉| 8014/8014 [01:37<00:00, 82.29files/s] 반응형

tqdm/tqdm: A Fast, Extensible Progress Bar for Python and CLI

tqdm

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!

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)) . It can also be executed as a module with pipes: $ 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 control characters. pip install tqdm Pull and install pre-release devel branch: pip install " git+https://github.com/tqdm/tqdm.git@devel#egg=tqdm " conda install -c conda-forge tqdm There are 3 channels to choose from: 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. docker pull tqdm/tqdm docker run -i --rm tqdm/tqdm --help There are other (unofficial) places where tqdm may be downloaded, particularly for CLI use: The list of all changes is available either on GitHub's Releases: , on the wiki, or on the website. tqdm is very versatile and can be used in a number of ways. The three main ones are given below. Wrap tqdm() around any iterable: 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)) : from tqdm import trange for i in trange ( 100 ): sleep ( 0.01 ) Instantiation outside of the loop allows for manual control over tqdm() : pbar = tqdm ([ "a" , "b" , "c" , "d" ]) for char in pbar : sleep ( 0.25 ) pbar . set_description ( "Processing %s" % char ) Manual control of tqdm() updates using a with statement: 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: pbar = tqdm ( total = 100 ) for i in range ( 10 ): sleep ( 0.1 ) pbar . update ( 10 ) pbar . close () 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. $ 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. $ 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? $ 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: $ 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: $ 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: $ 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] 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. 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 . (Since 19 May 2016) 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 ): 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. delim : chr, optional Delimiting character [default: 'n']. Use '0' for null. N.B.: on Windows systems, Python converts 'n' to 'rn'. 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. out : decorated iterator. 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 = ”

” ): “””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`. “””

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`.”””

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.”””

The tqdm.contrib package also contains experimental modules:

tqdm.contrib.itertools : Thin wrappers around itertools

: Thin wrappers around tqdm.contrib.concurrent : Thin wrappers around concurrent.futures

: Thin wrappers around tqdm.contrib.slack : Posts to Slack bots

: Posts to Slack bots tqdm.contrib.discord : Posts to Discord bots

: Posts to Discord bots tqdm.contrib.telegram : Posts to Telegram bots

: Posts to Telegram bots tqdm.contrib.bells : Automagically enables all optional features auto , pandas , slack , discord , telegram

: Automagically enables all optional features

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 .

Custom information can be displayed and updated dynamically on tqdm bars with the desc and postfix arguments:

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

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 :

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

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" tqdm supports nested progress bars. Here's an example: 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. 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: 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 ) 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. [...] 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 : 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: 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: 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. 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 Note that break isn't currently caught by asynchronous iterators. This means that tqdm cannot clean up after itself in this case: 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: from tqdm . asyncio import tqdm with tqdm ( range ( 9 )) as pbar : async for i in pbar : if i == 2 : break Due to popular demand we've added support for pandas -- here's an example for DataFrame.progress_apply and DataFrameGroupBy.progress_apply : 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() . A keras callback is also available: from tqdm . keras import TqdmCallback ... model . fit (..., verbose = 0 , callbacks = [ TqdmCallback ()]) A dask callback is also available: 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 is supported via the tqdm.notebook submodule: 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. 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: 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) : from tqdm . notebook import tqdm pbar = tqdm (..., display = False ) # different cell display ( pbar . container ) The keras callback has a display() method which can be used likewise: from tqdm . keras import TqdmCallback cbk = TqdmCallback ( display = False ) # 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 . from tqdm . notebook import tqdm pbar = tqdm () # 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()` To change the default arguments (such as making dynamic_ncols=True ), simply use built-in Python magic: 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) or for custom frontends (e.g. GUIs such as notebook or plotting packages). In the latter case: def __init__() to call super().__init__(..., gui=True) to disable terminal status_printer creation. 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: 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): 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. 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: 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. 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: 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!" ) 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: 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 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 . defines how long to wait between each refresh. always gets updated in the background, but it will display only every . 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. You can buy tqdm branded merch now! 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 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 A list is available on this wiki page. Open Source (OSI approved): Citation information: (Since 19 May 2016)

파이썬 반복문 어디까지 진행되었는지 표시하기: tqdm 라이브러리

반복문을 돌리면 작업이 어디까지 진행된 건지, 되고는 있는 건지 궁금할 때가 많이 있습니다. 주피터 노트북 화면을 바라보며 반복문을 돌린 셀의 별표가 사라지길 계속 기다리기도 조금 답답합니다. 이럴 때 진행 상황을 확인하는 가장 쉬운 방법은 반복문 중간에 print 찍도록 코드를 작성하는 것입니다. 하지만 이 방법은 직관적으로 한눈에 진행 상황을 파악하기에는 무리가 있습니다.

파이썬에는 이럴 때 사용할 수 있는 tqdm 라이브러리가 있습니다. 이 라이브러리를 이용하면 진행 상황을 Progress Bar 형태로 한눈에 확인할 수 있습니다.

tqdm 라이브러리 설치

Jupyter NoteBook을 열고 빈 셀에 다음의 설치 코드를 입력하고 실행시키면 됩니다.

!pip install tqdm # 이미 설치가 되어있다면 최신 버전으로 업그레이드를 할 수도 있습니다. # !pip install tqdm –upgrade

기본 사용법

반복 가능한(iterable) 대상이라면 어느 것이든 tqdm 함수 넣고 실행하면 됩니다.

import time from tqdm import tqdm for i in tqdm(range(10)): time.sleep(0.1)

리스트도 가능합니다. desc를 이용하여 설명을 추가할 수도 있습니다.

empty_list = [] for word in tqdm([‘apple’, ‘ball’, ‘cat’, ‘doll’, ‘egg’], desc=’iterate list’): time.sleep(0.1) empty_list.append(word)

반복문 밖에서 별도의 tqdm 인스턴스를 만들어서 실행시킬 수도 있습니다.

pbar = tqdm([‘apple’, ‘ball’, ‘cat’, ‘doll’, ‘egg’]) for word in pbar : time.sleep(0.1) pbar.set_description(f’Processing {word}’) empty_list.append(word)

중첩된 반복문에서 사용하기

중첩된(nested) 반복문에서도 사용이 가능합니다.

for i in tqdm(range(2), desc=’첫 번째 반복문’): for j in tqdm(range(3), desc=’두 번째 반복문’): time.sleep(0.1)

주피터 노트북에는 tqdm을 조금 더 이쁘게 쓸 수 있다?! 주피터 노트북을 위한 tqdm submodule이 있습니다. 이것을 사용해서 진행상태바를 그리면 훨씬 보기에 좋습니다. from tqdm import notebook import time for i in notebook.tqdm(range(100), desc=’iterate range 100′): time.sleep(0.01)

– 이 글은 아나콘다(Anaconda3)가 설치된 주피터 노트북에서 작성되었습니다.

So you have finished reading the 파이썬 tqdm topic article, if you find this article useful, please share it. Thank you very much. See more: 파이썬 tqdm 사용법, 파이썬 tqdm 설치, Tqdm_notebook, modulenotfounderror: no module named ‘tqdm’, Trange, Multiple tqdm, Tqdm update, Tqdm unit

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