当我的脚本正在执行一些可能需要时间的任务时,我如何使用进度条?

例如,一个函数需要一段时间才能完成,完成后返回True。如何在函数执行期间显示进度条?

请注意,我需要这是实时的,所以我不知道该怎么做。我需要一根线吗?我不知道。

现在我没有打印任何东西,而函数正在执行,但一个进度条会很好。此外,我更感兴趣的是从代码的角度如何做到这一点。


当前回答

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()

其他回答

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。

使用这个库:fish (GitHub)。

用法:

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

玩得开心!

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')

这个进度条显示了每完成2%的点和每完成10%的数字。

import sys

def ProgressBar (num, total, nextPercent, nextPoint):
    num = float (num)
    total = float (total) - 1
    if not nextPoint:
        nextPoint = 0.0
    if not nextPercent:
        nextPoint += 2.0
        sys.stdout.write ("[0%")
        nextPercent = 10
    elif num == total:
        sys.stdout.write ("100%]\n")
        nextPercent += 10
    elif not nextPoint:
        nextPoint = 0.0
    elif num / total * 100 >= nextPercent:
        sys.stdout.write (str(int (nextPercent)) + "%")
        nextPercent += 10
    elif num / total * 100 >= nextPoint:
        sys.stdout.write (":")
        nextPoint += 2
    return (nextPercent, nextPoint)

nextPercent, nextPoint = 0, 0
total = 1000

for num in range (total):
    nextPercent, nextPoint = ProgressBar (num, total, nextPercent, nextPoint)

结果:

>>> 
[0%::::10%:::::20%:::::30%:::::40%:::::50%:::::60%:::::70%:::::80%:::::90%:::::100%]
>>> 

我真的很喜欢python-progressbar,因为它使用起来非常简单。

对于最简单的情况,它是:

import progressbar
import time

progress = progressbar.ProgressBar()
for i in progress(range(80)):
    time.sleep(0.01)

外观可以自定义,它可以显示估计的剩余时间。举个例子,使用与上面相同的代码,但是包含:

progress = progressbar.ProgressBar(widgets=[progressbar.Bar('=', '[', ']'), ' ',
                                            progressbar.Percentage(), ' ',
                                            progressbar.ETA()])