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%

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。

它只有不到10行代码。

要点如下:https://gist.github.com/vladignatyev/06860ec2040cb497f0f3

import sys


def progress(count, total, suffix=''):
    bar_len = 60
    filled_len = int(round(bar_len * count / float(total)))

    percents = round(100.0 * count / float(total), 1)
    bar = '=' * filled_len + '-' * (bar_len - filled_len)

    sys.stdout.write('[%s] %s%s ...%s\r' % (bar, percents, '%', suffix))
    sys.stdout.flush()  # As suggested by Rom Ruben

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)

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()

我正在使用来自reddit的进度。我喜欢它，因为它可以在一行中打印每一项的进度，而且它不应该从程序中删除打印输出。

编辑:固定链接