python的Tqdm模块的使用

python -m pip install -U pip 

pip install tqdm 

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

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

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

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

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

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

$ 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 

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

$ 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] 

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

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. 
可迭代的进度条。 
Leave blank to manually manage the updates. 
留空手动管理更新？？ 
desc : str, optional 
Prefix for the progressbar. 
进度条的描述 
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). 
预期的迭代数目，默认为None，则尽可能的迭代下去，如果gui设置为True，这里则需要后续的更新，将需要指定为一个初始随意值较大的正整数，例如int(9e9) 
leave : bool, optional 
If [default: True], keeps all traces of the progressbar 
upon termination of iteration. 
保留进度条存在的痕迹，简单来说就是会把进度条的最终形态保留下来，默认为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. 
指定消息的输出 
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). 
整个输出消息的宽度。如果指定，动态调整的进度停留在这个边界。如果未指定，尝试使用环境的宽度。如果为0，将不打印任何东西（只统计）。 
mininterval : float, optional 
Minimum progress update interval, in seconds [default: 0.1]. 
最小进度更新间隔，以秒为单位（默认值：0.1）。 
maxinterval : float, optional 
Maximum progress update interval, in seconds [default: 10.0]. 
最大进度更新间隔，以秒为单位（默认值：10）。 
miniters : int, optional 
Minimum progress update interval, in iterations. 
If specified, will set mininterval to 0. 
最小进度更新周期 
ascii : bool, optional 
If unspecified or False, use unicode (smooth blocks) to fill 
the meter. The fallback is to use ASCII characters 1-9 #. 
如果不设置，默认为unicode编码 
disable : bool, optional 
Whether to disable the entire progressbar wrapper 
[default: False]. 
是否禁用整个进度条包装(如果为True，进度条不显示) 
unit : str, optional 
String that will be used to define the unit of each iteration 
[default: it]. 
将被用来定义每个单元的字符串？？？ 
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]. 
如果设置，迭代的次数会自动按照十、百、千来添加前缀，默认为false 
dynamic_ncols : bool, optional 
If set, constantly alters ncols to the environment (allowing 
for window resizes) [default: False]. 
不断改变ncols环境，允许调整窗口大小 
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. 
自定义栏字符串格式化…默认会使用{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]. 
初始计数器值，默认为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，这个功能在多个条中有用 
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]. 
内部参数… 
Returns 
out : decorated iterator. 
返回为一个迭代器 

# -*- 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() 

"""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) 

""" 
# 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*#.*"htmlcode">

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并非强制作为依赖：


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) 




参考：

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内容，希望对大家的学习有所帮助，也希望大家多多支持。