对于类似的应用程序(在循环中跟踪进度)，我简单地使用python-progressbar:

他们的例子是这样的，

from progressbar import *               # just a simple progress bar


widgets = ['Test: ', Percentage(), ' ', Bar(marker='0',left='[',right=']'),
           ' ', ETA(), ' ', FileTransferSpeed()] #see docs for other options

pbar = ProgressBar(widgets=widgets, maxval=500)
pbar.start()

for i in range(100,500+1,50):
    # here do something long at each iteration
    pbar.update(i) #this adds a little symbol at each iteration
pbar.finish()
print

这在Python3中非常简单:

   import time
   import math

    def show_progress_bar(bar_length, completed, total):
        bar_length_unit_value = (total / bar_length)
        completed_bar_part = math.ceil(completed / bar_length_unit_value)
        progress = "*" * completed_bar_part
        remaining = " " * (bar_length - completed_bar_part)
        percent_done = "%.2f" % ((completed / total) * 100)
        print(f'[{progress}{remaining}] {percent_done}%', end='\r')

    bar_length = 30
    total = 100
    for i in range(0, total + 1):
        show_progress_bar(bar_length, i, total)
        time.sleep(0.1)

    print('\n')

使用这个库:fish (GitHub)。

用法:

>>> import fish
>>> while churning:
...     churn_churn()
...     fish.animate()

玩得开心!

如果你的工作不能被分解成可测量的块，你可以在一个新的线程中调用你的函数，并记录它所花费的时间:

import thread
import time
import sys

def work():
    time.sleep( 5 )

def locked_call( func, lock ):
    lock.acquire()
    func()
    lock.release()

lock = thread.allocate_lock()
thread.start_new_thread( locked_call, ( work, lock, ) )

# This part is icky...
while( not lock.locked() ):
    time.sleep( 0.1 )

while( lock.locked() ):
    sys.stdout.write( "*" )
    sys.stdout.flush()
    time.sleep( 1 )
print "\nWork Done"

显然，您可以根据需要提高计时精度。

使用进度库!

pip install progress

下面是我编写的一个自定义子类，用于将ETA/流逝时间格式化为更好读的格式:

import datetime
from progress.bar import IncrementalBar


class ProgressBar(IncrementalBar):
    '''
    My custom progress bar that:
       - Show %, count, elapsed, eta
       - Time is shown in H:M:S format
    '''

    message = 'Progress'
    suffix  = '%(percent).1f%% (%(index)d/%(max)d) -- %(elapsed_min)s (eta: %(eta_min)s)'

    def formatTime(self, seconds):
        return str(datetime.timedelta(seconds=seconds))

    @property
    def elapsed_min(self):
        return self.formatTime(self.elapsed)

    @property
    def eta_min(self):
        return self.formatTime(self.eta)

if __name__=='__main__':
    counter = 120
    bar     = ProgressBar('Processing', max=counter)

    for i in range(counter):
        bar.next()
        time.sleep(1)

    bar.finish()

使用动态进度，最酷的进度条!

要以一种有用的方式使用任何进度条框架，即获得完成百分比和预计到达时间(ETA)，您需要能够告诉您的处理将有多少步骤。

然后，您只需插入一个yield来标记一个项目已被处理，然后就可以开始了!

def compute():
    for i in range(1000):
        ... # process items as usual.
        yield  # insert this :)

然后就像这样使用它:

from alive_progress import alive_bar

with alive_bar(1000) as bar:
    for i in compute():
        bar()

获得一个令人敬畏的和活着的进度条!

|█████████████▎                      | ▅▃▁ 321/1000 [32%] in 8s (40.1/s, eta: 16s)

披露:我是alive-progress的作者，但它应该能很好地解决你的问题!阅读https://github.com/rsalmei/alive-progress上的文档了解更多信息。现在它也在木星笔记本!以下是它能做的更多例子: