最新国产好看的视频,伊人天堂AV在线,国产Aaaaaa视频,蜜臀视频在线观看一区,人妻av色图,密臀久久久精品影片,青青视频免费观看毛片,久草在线观看视,国产三级精品色情在线

python的Tqdm模塊的使用

 更新時間:2018年01月10日 11:29:19   作者:langb2014  
這篇文章主要介紹了python的Tqdm模塊的使用,小編覺得挺不錯的,現(xiàn)在分享給大家,也給大家做個參考。一起跟隨小編過來看看吧

Tqdm 是一個快速,可擴(kuò)展的Python進(jìn)度條,可以在 Python 長循環(huán)中添加一個進(jìn)度提示信息,用戶只需要封裝任意的迭代器 tqdm(iterator)。

我的系統(tǒng)是window環(huán)境,首先安裝python,接下來就是pip。

pip安裝:

在python根目錄下創(chuàng)建一個get-pip.py的文件,內(nèi)容:

https://bootstrap.pypa.io/get-pip.py 

然后在CMD窗口進(jìn)入python下面:

輸出:

python -m pip install -U pip 

由于Tqdm要求的pip版本是9.0所以需要手動安裝pip9.0
http://pypi.python.org/pypi/pip

下載安裝包9.0

然后解壓進(jìn)入,CMD窗口輸入:python setup.py install

然后就可以安裝Tqdm了,

pip install tqdm 

安裝最新的開發(fā)版的話

pip install -e git+https://github.com/tqdm/tqdm.git@master#egg=tqdm 

最后看看怎么用呢?https://pypi.python.org/pypi/tqdm

基本用法:

from tqdm import tqdm 
for i in tqdm(range(10000)): 
   sleep(0.01) 

當(dāng)然除了tqdm,還有trange,使用方式完全相同

for i in trange(100): 
    sleep(0.1) 

只要傳入list都可以:

pbar = tqdm(["a", "b", "c", "d"]) 
for char in pbar: 
  pbar.set_description("Processing %s" % char) 

也可以手動控制更新

with tqdm(total=100) as pbar: 
  for i in range(10): 
    pbar.update(10) 

也可以這樣:

pbar = tqdm(total=100) 
for i in range(10): 
  pbar.update(10) 
pbar.close() 

在Shell的tqdm用法

統(tǒng)計所有python腳本的行數(shù):

$ time find . -name '*.py' -exec cat \{} \; | wc -l 
857365 
 
real  0m3.458s 
user  0m0.274s 
sys   0m3.325s 
 
$ time find . -name '*.py' -exec cat \{} \; | tqdm | wc -l 
857366it [00:03, 246471.31it/s] 
857365 
 
real  0m3.585s 
user  0m0.862s 
sys   0m3.358s 

使用參數(shù):

$ find . -name '*.py' -exec cat \{} \; | 
  tqdm --unit loc --unit_scale --total 857366 >> /dev/null 
100%|███████████████████████████████████| 857K/857K [00:04<00:00, 246Kloc/s] 

備份一個目錄:

$ 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] 

通過看示范的代碼,我們能發(fā)現(xiàn)使用的核心是tqdm和trange這兩個函數(shù),從代碼層面分析tqdm的功能,那首先是init.py

__all__ = ['tqdm', 'tqdm_gui', 'trange', 'tgrange', 'tqdm_pandas', 
      'tqdm_notebook', 'tnrange', 'main', 'TqdmKeyError', 'TqdmTypeError', 
      '__version__'] 

跟蹤到_tqdm.py,能看到tqdm類的聲明,首先是初始化

def __init__(self, iterable=None, desc=None, total=None, leave=True, 
         file=sys.stderr, 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, 
         gui=False, **kwargs): 
Parameters 
 
iterable : iterable, optional 
Iterable to decorate with a progressbar. 
可迭代的進(jìn)度條。 
Leave blank to manually manage the updates. 
留空手動管理更新?? 
desc : str, optional 
Prefix for the progressbar. 
進(jìn)度條的描述 
total : int, optional 
The number of expected iterations. If unspecified, 
len(iterable) is used if possible. 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 integer, 
e.g. int(9e9). 
預(yù)期的迭代數(shù)目,默認(rèn)為None,則盡可能的迭代下去,如果gui設(shè)置為True,這里則需要后續(xù)的更新,將需要指定為一個初始隨意值較大的正整數(shù),例如int(9e9) 
leave : bool, optional 
If [default: True], keeps all traces of the progressbar 
upon termination of iteration. 
保留進(jìn)度條存在的痕跡,簡單來說就是會把進(jìn)度條的最終形態(tài)保留下來,默認(rèn)為True 
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. 
指定消息的輸出 
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). 
整個輸出消息的寬度。如果指定,動態(tài)調(diào)整的進(jìn)度停留在這個邊界。如果未指定,嘗試使用環(huán)境的寬度。如果為0,將不打印任何東西(只統(tǒng)計)。 
mininterval : float, optional 
Minimum progress update interval, in seconds [default: 0.1]. 
最小進(jìn)度更新間隔,以秒為單位(默認(rèn)值:0.1)。 
maxinterval : float, optional 
Maximum progress update interval, in seconds [default: 10.0]. 
最大進(jìn)度更新間隔,以秒為單位(默認(rèn)值:10)。 
miniters : int, optional 
Minimum progress update interval, in iterations. 
If specified, will set mininterval to 0. 
最小進(jìn)度更新周期 
ascii : bool, optional 
If unspecified or False, use unicode (smooth blocks) to fill 
the meter. The fallback is to use ASCII characters 1-9 #. 
如果不設(shè)置,默認(rèn)為unicode編碼 
disable : bool, optional 
Whether to disable the entire progressbar wrapper 
[default: False]. 
是否禁用整個進(jìn)度條包裝(如果為True,進(jìn)度條不顯示) 
unit : str, optional 
String that will be used to define the unit of each iteration 
[default: it]. 
將被用來定義每個單元的字符串??? 
unit_scale : bool, optional 
If set, 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]. 
如果設(shè)置,迭代的次數(shù)會自動按照十、百、千來添加前綴,默認(rèn)為false 
dynamic_ncols : bool, optional 
If set, constantly alters ncols to the environment (allowing 
for window resizes) [default: False]. 
不斷改變ncols環(huán)境,允許調(diào)整窗口大小 
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. 
If unspecified, will use ‘{l_bar}{bar}{r_bar}', where l_bar is 
‘{desc}{percentage:3.0f}%|' and r_bar is 
‘| {n_fmt}/{total_fmt} [{elapsed_str}<{remaining_str}, {rate_fmt}]' 
Possible vars: bar, n, n_fmt, total, total_fmt, percentage, 
rate, rate_fmt, elapsed, remaining, l_bar, r_bar, desc. 
自定義欄字符串格式化…默認(rèn)會使用{l_bar}{bar}{r_bar}的格式,格式同上 
 
initial : int, optional 
The initial counter value. Useful when restarting a progress 
bar [default: 0]. 
初始計數(shù)器值,默認(rèn)為0 
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). 
指定偏移,這個功能在多個條中有用 
gui : bool, optional 
WARNING: internal parameter - do not use. 
Use tqdm_gui(…) instead. If set, will attempt to use 
matplotlib animations for a graphical output [default: False]. 
內(nèi)部參數(shù)… 
Returns 
out : decorated iterator. 
返回為一個迭代器 

其實不用分析更多代碼,多看看幾個例子:(官網(wǎng)的例子)

7zx.py壓縮進(jìn)度條

# -*- coding: utf-8 -*- 
"""Usage: 
 7zx.py [--help | options] <zipfiles>... 
Options: 
 -h, --help   Print this help and exit 
 -v, --version Print version and exit 
 -c, --compressed    Use compressed (instead of uncompressed) file sizes 
 -s, --silent  Do not print one row per zip file 
 -y, --yes   Assume yes to all queries (for extraction) 
 -D=<level>, --debug=<level> 
         Print various types of debugging information. Choices: 
             CRITICAL|FATAL 
             ERROR 
             WARN(ING) 
             [default: INFO] 
             DEBUG 
             NOTSET 
 -d, --debug-trace   Print lots of debugging information (-D NOTSET) 
""" 
from __future__ import print_function 
from docopt import docopt 
import logging as log 
import subprocess 
import re 
from tqdm import tqdm 
import pty 
import os 
import io 
__author__ = "Casper da Costa-Luis <casper.dcl@physics.org>" 
__licence__ = "MPLv2.0" 
__version__ = "0.2.0" 
__license__ = __licence__ 
 
 
RE_SCN = re.compile("([0-9]+)\s+([0-9]+)\s+(.*)$", flags=re.M) 
 
 
def main(): 
  args = docopt(__doc__, version=__version__) 
  if args.pop('--debug-trace', False): 
    args['--debug'] = "NOTSET" 
  log.basicConfig(level=getattr(log, args['--debug'], log.INFO), 
          format='%(levelname)s: %(message)s') 
  log.debug(args) 
 
  # Get compressed sizes 
  zips = {} 
  for fn in args['<zipfiles>']: 
    info = subprocess.check_output(["7z", "l", fn]).strip() 
    finfo = RE_SCN.findall(info) 
 
    # builtin test: last line should be total sizes 
    log.debug(finfo) 
    totals = map(int, finfo[-1][:2]) 
    # log.debug(totals) 
    for s in range(2): 
      assert(sum(map(int, (inf[s] for inf in finfo[:-1]))) == totals[s]) 
    fcomp = dict((n, int(c if args['--compressed'] else u)) 
           for (u, c, n) in finfo[:-1]) 
    # log.debug(fcomp) 
    # zips : {'zipname' : {'filename' : int(size)}} 
    zips[fn] = fcomp 
 
  # Extract 
  cmd7zx = ["7z", "x", "-bd"] 
  if args['--yes']: 
    cmd7zx += ["-y"] 
  log.info("Extracting from {:d} file(s)".format(len(zips))) 
  with tqdm(total=sum(sum(fcomp.values()) for fcomp in zips.values()), 
       unit="B", unit_scale=True) as tall: 
    for fn, fcomp in zips.items(): 
      md, sd = pty.openpty() 
      ex = subprocess.Popen(cmd7zx + [fn], 
                 bufsize=1, 
                 stdout=md, # subprocess.PIPE, 
                 stderr=subprocess.STDOUT) 
      os.close(sd) 
      with io.open(md, mode="rU", buffering=1) as m: 
        with tqdm(total=sum(fcomp.values()), disable=len(zips) < 2, 
             leave=False, unit="B", unit_scale=True) as t: 
          while True: 
            try: 
              l_raw = m.readline() 
            except IOError: 
              break 
            l = l_raw.strip() 
            if l.startswith("Extracting"): 
              exname = l.lstrip("Extracting").lstrip() 
              s = fcomp.get(exname, 0) # 0 is likely folders 
              t.update(s) 
              tall.update(s) 
            elif l: 
              if not any(l.startswith(i) for i in 
                    ("7-Zip ", 
                    "p7zip Version ", 
                    "Everything is Ok", 
                    "Folders: ", 
                    "Files: ", 
                    "Size: ", 
                    "Compressed: ")): 
                if l.startswith("Processing archive: "): 
                  if not args['--silent']: 
                    t.write(t.format_interval( 
                      t.start_t - tall.start_t) + ' ' + 
                      l.lstrip("Processing archive: ")) 
                else: 
                  t.write(l) 
      ex.wait() 
 
 
main.__doc__ = __doc__ 
 
 
if __name__ == "__main__": 
  main() 

tqdm_wget.py

"""An example of wrapping manual tqdm updates for urllib reporthook. 
# 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. 
Usage: 
  tqdm_wget.py [options] 
Options: 
-h, --help 
  Print this help message and exit 
-u URL, --url URL : string, optional 
  The url to fetch. 
  [default: http://www.doc.ic.ac.uk/~cod11/matryoshka.zip] 
-o FILE, --output FILE : string, optional 
  The local file path in which to save the url [default: /dev/null]. 
""" 
 
import urllib 
from tqdm import tqdm 
from docopt import docopt 
 
 
def my_hook(t): 
  """ 
  Wraps tqdm instance. Don't forget to close() or __exit__() 
  the tqdm instance once you're done with it (easiest using `with` syntax). 
  Example 
  ------- 
  >>> with tqdm(...) as t: 
  ...   reporthook = my_hook(t) 
  ...   urllib.urlretrieve(..., reporthook=reporthook) 
  """ 
  last_b = [0] 
 
  def inner(b=1, bsize=1, tsize=None): 
    """ 
    b : int, optional 
      Number of blocks just transferred [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: 
      t.total = tsize 
    t.update((b - last_b[0]) * bsize) 
    last_b[0] = b 
  return inner 
 
 
opts = docopt(__doc__) 
 
eg_link = opts['--url'] 
eg_file = eg_link.replace('/', ' ').split()[-1] 
with tqdm(unit='B', unit_scale=True, leave=True, miniters=1, 
     desc=eg_file) as t: # all optional kwargs 
  urllib.urlretrieve(eg_link, filename=opts['--output'], 
            reporthook=my_hook(t), data=None) 

examples.py

""" 
# Simple tqdm examples and profiling 
# Benchmark 
for i in _range(int(1e8)): 
  pass 
# Basic demo 
import tqdm 
for i in tqdm.trange(int(1e8)): 
  pass 
# Some decorations 
import tqdm 
for i in tqdm.trange(int(1e8), miniters=int(1e6), ascii=True, 
           desc="cool", dynamic_ncols=True): 
  pass 
# Nested bars 
from tqdm import trange 
for i in trange(10): 
  for j in trange(int(1e7), leave=False, unit_scale=True): 
    pass 
# Experimental GUI demo 
import tqdm 
for i in tqdm.tgrange(int(1e8)): 
  pass 
# Comparison to https://code.google.com/p/python-progressbar/ 
try: 
  from progressbar.progressbar import ProgressBar 
except ImportError: 
  pass 
else: 
  for i in ProgressBar()(_range(int(1e8))): 
    pass 
# Dynamic miniters benchmark 
from tqdm import trange 
for i in trange(int(1e8), miniters=None, mininterval=0.1, smoothing=0): 
  pass 
# Fixed miniters benchmark 
from tqdm import trange 
for i in trange(int(1e8), miniters=4500000, mininterval=0.1, smoothing=0): 
  pass 
""" 
 
from time import sleep 
from timeit import timeit 
import re 
 
# Simple demo 
from tqdm import trange 
for i in trange(16, leave=True): 
  sleep(0.1) 
 
# Profiling/overhead tests 
stmts = filter(None, re.split(r'\n\s*#.*?\n', __doc__)) 
for s in stmts: 
  print(s.replace('import tqdm\n', '')) 
  print(timeit(stmt='try:\n\t_range = xrange' 
           '\nexcept:\n\t_range = range\n' + s, number=1), 
     'seconds') 

pandas_progress_apply.py

import pandas as pd 
import numpy as np 
from tqdm import tqdm 
 
df = pd.DataFrame(np.random.randint(0, 100, (100000, 6))) 
 
# Register `pandas.progress_apply` and `pandas.Series.map_apply` with `tqdm` 
# (can use `tqdm_gui`, `tqdm_notebook`, optional kwargs, etc.) 
tqdm.pandas(desc="my bar!") 
 
# Now you can use `progress_apply` instead of `apply` 
# and `progress_map` instead of `map` 
df.progress_apply(lambda x: x**2) 
# can also groupby: 
# df.groupby(0).progress_apply(lambda x: x**2) 
 
 
# -- Source code for `tqdm_pandas` (really simple!) 
# def tqdm_pandas(t): 
#  from pandas.core.frame import DataFrame 
#  def inner(df, func, *args, **kwargs): 
#    t.total = groups.size // len(groups) 
#    def wrapper(*args, **kwargs): 
#      t.update(1) 
#      return func(*args, **kwargs) 
#    result = df.apply(wrapper, *args, **kwargs) 
#    t.close() 
#    return result 
#  DataFrame.progress_apply = inner 

引用tqdm并非強(qiáng)制作為依賴:

include_no_requirements.py

# How to import tqdm without enforcing it as a dependency 
try: 
  from tqdm import tqdm 
except ImportError: 
  def tqdm(*args, **kwargs): 
    if args: 
      return args[0] 
    return kwargs.get('iterable', None) 

參考:
https://github.com/tqdm/tqdm/tree/master/examples
https://pypi.python.org/pypi/tqdm
https://github.com/tqdm/tqdm

以上就是本文的全部內(nèi)容,希望對大家的學(xué)習(xí)有所幫助,也希望大家多多支持腳本之家。

相關(guān)文章

  • Python兩臺電腦實現(xiàn)TCP通信的方法示例

    Python兩臺電腦實現(xiàn)TCP通信的方法示例

    這篇文章主要介紹了Python兩臺電腦實現(xiàn)TCP通信的方法示例,文中通過示例代碼介紹的非常詳細(xì),對大家的學(xué)習(xí)或者工作具有一定的參考學(xué)習(xí)價值,需要的朋友們下面隨著小編來一起學(xué)習(xí)學(xué)習(xí)吧
    2019-05-05
  • Python中join()函數(shù)多種操作代碼實例

    Python中join()函數(shù)多種操作代碼實例

    這篇文章主要介紹了Python中join()函數(shù)多種操作代碼實例,文中通過示例代碼介紹的非常詳細(xì),對大家的學(xué)習(xí)或者工作具有一定的參考學(xué)習(xí)價值,需要的朋友可以參考下
    2020-01-01
  • 使用python將圖片改為灰度圖或黑白圖

    使用python將圖片改為灰度圖或黑白圖

    使用python將圖片改為灰度圖或黑白圖有三種方式,分別是是使用cv2庫和PIL庫來實現(xiàn),具有一定的參考價值,感興趣的小伙伴們可以參考一下
    2022-04-04
  • python多線程threading.Lock鎖用法實例

    python多線程threading.Lock鎖用法實例

    這篇文章主要介紹了python多線程threading.Lock鎖用法,以實例形式對python鎖的用法進(jìn)行了較為詳細(xì)的分析,需要的朋友可以參考下
    2014-11-11
  • Python如何讀寫字節(jié)數(shù)據(jù)

    Python如何讀寫字節(jié)數(shù)據(jù)

    這篇文章主要介紹了Python如何讀寫字節(jié)數(shù)據(jù),文中講解非常細(xì)致,代碼幫助大家更好的理解和學(xué)習(xí),感興趣的朋友可以了解下
    2020-08-08
  • Pytorch中膨脹卷積的用法詳解

    Pytorch中膨脹卷積的用法詳解

    今天小編就為大家分享一篇Pytorch中膨脹卷積的用法詳解,具有很好的參考價值,希望對大家有所幫助。一起跟隨小編過來看看吧
    2020-01-01
  • Python+OpenCV實現(xiàn)定位二維碼

    Python+OpenCV實現(xiàn)定位二維碼

    這篇文章主要為大家詳細(xì)介紹了如何利用Python和OpenCV實現(xiàn)定位二維碼功能,文中的示例代碼講解詳細(xì),感興趣的小伙伴可以跟隨小編一起學(xué)習(xí)一下
    2023-12-12
  • Pytest單元測試框架生成HTML測試報告及優(yōu)化的步驟

    Pytest單元測試框架生成HTML測試報告及優(yōu)化的步驟

    本文主要介紹了Pytest單元測試框架生成HTML測試報告及優(yōu)化的步驟,文中通過示例代碼介紹的非常詳細(xì),具有一定的參考價值,感興趣的小伙伴們可以參考一下
    2022-01-01
  • Web服務(wù)器框架 Tornado簡介

    Web服務(wù)器框架 Tornado簡介

    Tornado Web Server 是使用Python編寫出來的一個極輕量級、高可伸縮性和非阻塞IO的Web服務(wù)器軟件,著名的 Friendfeed 網(wǎng)站就是使用它搭建的。
    2014-07-07
  • Python數(shù)據(jù)分析之?Matplotlib?餅圖繪制

    Python數(shù)據(jù)分析之?Matplotlib?餅圖繪制

    這篇文章主要介紹了Python數(shù)據(jù)分析之?Matplotlib?餅圖繪制,文章基于python的相關(guān)資料展開詳細(xì)的餅圖繪制,具有一定的參考價值,需要的小伙伴可以參考一下
    2022-05-05

最新評論

黎平县| 平谷区| 胶州市| 崇阳县| 敖汉旗| 射阳县| 泰来县| 通城县| 从化市| 安化县| 左贡县| 共和县| 江源县| 枝江市| 浮梁县| 濮阳县| 延寿县| 射阳县| 牙克石市| 庆城县| 夏河县| 临汾市| 宁河县| 龙陵县| 桃江县| 临颍县| 木兰县| 中西区| 玛沁县| 东安县| 黑龙江省| 北票市| 西青区| 马尔康县| 莎车县| 荥阳市| 安新县| 韶关市| 四平市| 色达县| 南皮县|