根据上面的答案和其他类似的关于CLI进度条的问题，我想我得到了一个普遍的答案。请登录https://stackoverflow.com/a/15860757/2254146查看。

总之，代码是这样的:

import time, sys

# update_progress() : Displays or updates a console progress bar
## Accepts a float between 0 and 1. Any int will be converted to a float.
## A value under 0 represents a 'halt'.
## A value at 1 or bigger represents 100%
def update_progress(progress):
    barLength = 10 # Modify this to change the length of the progress bar
    status = ""
    if isinstance(progress, int):
        progress = float(progress)
    if not isinstance(progress, float):
        progress = 0
        status = "error: progress var must be float\r\n"
    if progress < 0:
        progress = 0
        status = "Halt...\r\n"
    if progress >= 1:
        progress = 1
        status = "Done...\r\n"
    block = int(round(barLength*progress))
    text = "\rPercent: [{0}] {1}% {2}".format( "#"*block + "-"*(barLength-block), progress*100, status)
    sys.stdout.write(text)
    sys.stdout.flush()

看起来像

百分比:[##########]99.0%

函数从Greenstick 2.7:

def printProgressBar (iteration, total, prefix = '', suffix = '',decimals = 1, length = 100, fill = '#'):

percent = ("{0:." + str(decimals) + "f}").format(100 * (iteration / float(total)))
filledLength = int(length * iteration // total)
bar = fill * filledLength + '-' * (length - filledLength)
print'\r%s |%s| %s%% %s' % (prefix, bar, percent, suffix),
sys.stdout.flush()
# Print New Line on Complete                                                                                                                                                                                                              
if iteration == total:
    print()

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)

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)

并且，为了添加到堆中，这里有一个你可以使用的对象:

将以下内容添加到新文件progressbar.py中

import sys

class ProgressBar(object):
    CHAR_ON  = '='
    CHAR_OFF = ' '

    def __init__(self, end=100, length=65):
        self._end = end
        self._length = length
        self._chars = None
        self._value = 0

    @property
    def value(self):
        return self._value
    
    @value.setter
    def value(self, value):
        self._value = max(0, min(value, self._end))
        if self._chars != (c := int(self._length * (self._value / self._end))):
            self._chars = c
            sys.stdout.write("\r  {:3n}% [{}{}]".format(
                int((self._value / self._end) * 100.0),
                self.CHAR_ON  * int(self._chars),
                self.CHAR_OFF * int(self._length - self._chars),
            ))
            sys.stdout.flush()

    def __enter__(self):
        self.value = 0
        return self

    def __exit__(self, *args, **kwargs):
        sys.stdout.write('\n')

可以包含在您的程序中:

import time
from progressbar import ProgressBar

count = 150
print("starting things:")

with ProgressBar(count) as bar:
    for i in range(count + 1):
        bar.value += 1
        time.sleep(0.01)

print("done")

结果:

starting things:
  100% [=================================================================]
done

这可能有点“夸张”，但如果经常使用，就很方便了。

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()