好吧，这里是工作的代码，我在发布之前测试了它:

import sys
def prg(prog, fillchar, emptchar):
    fillt = 0
    emptt = 20
    if prog < 100 and prog > 0:
        prog2 = prog/5
        fillt = fillt + prog2
        emptt = emptt - prog2
        sys.stdout.write("\r[" + str(fillchar)*fillt + str(emptchar)*emptt + "]" + str(prog) + "%")
        sys.stdout.flush()
    elif prog >= 100:
        prog = 100
        prog2 = prog/5
        fillt = fillt + prog2
        emptt = emptt - prog2
        sys.stdout.write("\r[" + str(fillchar)*fillt + str(emptchar)*emptt + "]" + str(prog) + "%" + "\nDone!")
        sys.stdout.flush()
    elif prog < 0:
        prog = 0
        prog2 = prog/5
        fillt = fillt + prog2
        emptt = emptt - prog2
        sys.stdout.write("\r[" + str(fillchar)*fillt + str(emptchar)*emptt + "]" + str(prog) + "%" + "\nHalted!")
        sys.stdout.flush()

优点:

20个字符条(每5个字符对应1个字符) 自定义填充字符 自定义空字符 暂停(任何低于0的数字) 完成(100及100以上的任何数字) 进度计数(0-100(以下和以上用于特殊功能)) 条形图旁边的百分数，这是一条单线

缺点:

仅支持整数(但可以通过将除法改为整数除法来支持整数，因此只需将prog2 = prog/5更改为prog2 = int(prog/5))

试试由Python界的莫扎特Armin Ronacher编写的点击库。

$ pip install click # both 2 and 3 compatible

创建一个简单的进度条:

import click

with click.progressbar(range(1000000)) as bar:
    for i in bar:
        pass 

这是它的样子:

# [###-------------------------------]    9%  00:01:14

定制您心中的内容:

import click, sys

with click.progressbar(range(100000), file=sys.stderr, show_pos=True, width=70, bar_template='(_(_)=%(bar)sD(_(_| %(info)s', fill_char='=', empty_char=' ') as bar:
    for i in bar:
        pass

自定义:

(_(_)===================================D(_(_| 100000/100000 00:00:02

还有更多的选项，请参阅API文档:

 click.progressbar(iterable=None, length=None, label=None, show_eta=True, show_percent=None, show_pos=False, item_show_func=None, fill_char='#', empty_char='-', bar_template='%(label)s [%(bar)s] %(info)s', info_sep=' ', width=36, file=None, color=None)

把我在这里找到的一些想法放在一起，加上估计的剩余时间:

import datetime, sys

start = datetime.datetime.now()

def print_progress_bar (iteration, total):

    process_duration_samples = []
    average_samples = 5

    end = datetime.datetime.now()

    process_duration = end - start

    if len(process_duration_samples) == 0:
        process_duration_samples = [process_duration] * average_samples

    process_duration_samples = process_duration_samples[1:average_samples-1] + [process_duration]
    average_process_duration = sum(process_duration_samples, datetime.timedelta()) / len(process_duration_samples)
    remaining_steps = total - iteration
    remaining_time_estimation = remaining_steps * average_process_duration

    bars_string = int(float(iteration) / float(total) * 20.)
    sys.stdout.write(
        "\r[%-20s] %d%% (%s/%s) Estimated time left: %s" % (
            '='*bars_string, float(iteration) / float(total) * 100,
            iteration,
            total,
            remaining_time_estimation
        ) 
    )
    sys.stdout.flush()
    if iteration + 1 == total:
        print 


# Sample usage

for i in range(0,300):
    print_progress_bar(i, 300)

在Python命令行运行这个命令(不是在任何IDE或开发环境中):

>>> import threading
>>> for i in range(50+1):
...   threading._sleep(0.5)
...   print "\r%3d" % i, ('='*i)+('-'*(50-i)),

在我的Windows系统上运行良好。

python模块progressbar是一个不错的选择。 下面是我的典型代码:

import time
import progressbar

widgets = [
    ' ', progressbar.Percentage(),
    ' ', progressbar.SimpleProgress(format='(%(value_s)s of %(max_value_s)s)'),
    ' ', progressbar.Bar('>', fill='.'),
    ' ', progressbar.ETA(format_finished='- %(seconds)s  -', format='ETA: %(seconds)s', ),
    ' - ', progressbar.DynamicMessage('loss'),
    ' - ', progressbar.DynamicMessage('error'),
    '                          '
]

bar = progressbar.ProgressBar(redirect_stdout=True, widgets=widgets)
bar.start(100)
for i in range(100):
    time.sleep(0.1)
    bar.update(i + 1, loss=i / 100., error=i)
bar.finish()

我推荐使用tqdm - https://pypi.python.org/pypi/tqdm -它可以简单地将任何可迭代对象或进程转换为进度条，并处理所需终端的所有混乱。

从文档中可以看到:“tqdm可以很容易地支持回调/钩子和手动更新。这里有一个urllib的例子。”

import urllib
from tqdm import tqdm

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

eg_link = 'http://www.doc.ic.ac.uk/~cod11/matryoshka.zip'
with tqdm(unit='B', unit_scale=True, miniters=1,
          desc=eg_link.split('/')[-1]) as t:  # all optional kwargs
    urllib.urlretrieve(eg_link, filename='/dev/null',
                       reporthook=my_hook(t), data=None)