我喜欢Brian Khuu的答案，因为它简单，不需要外部包。我做了一点改动，所以我在这里添加了我的版本:

import sys
import time


def updt(total, progress):
    """
    Displays or updates a console progress bar.

    Original source: https://stackoverflow.com/a/15860757/1391441
    """
    barLength, status = 20, ""
    progress = float(progress) / float(total)
    if progress >= 1.:
        progress, status = 1, "\r\n"
    block = int(round(barLength * progress))
    text = "\r[{}] {:.0f}% {}".format(
        "#" * block + "-" * (barLength - block), round(progress * 100, 0),
        status)
    sys.stdout.write(text)
    sys.stdout.flush()


runs = 300
for run_num in range(runs):
    time.sleep(.1)
    updt(runs, run_num + 1)

它取总运行次数(total)和目前处理的运行次数(progress)，假设total >= progress。结果如下所示:

[#####---------------] 27%

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

我喜欢这一页。

从简单的示例开始，然后转移到多线程版本。开箱即用。不需要第三方软件包。

代码看起来像这样:

import time
import sys

def do_task():
    time.sleep(1)

def example_1(n):
    for i in range(n):
        do_task()
        print '\b.',
        sys.stdout.flush()
    print ' Done!'

print 'Starting ',
example_1(10)

或者这里是一个使用线程的例子，以便在程序运行时运行旋转加载条:

import sys
import time
import threading

class progress_bar_loading(threading.Thread):

    def run(self):
            global stop
            global kill
            print 'Loading....  ',
            sys.stdout.flush()
            i = 0
            while stop != True:
                    if (i%4) == 0: 
                        sys.stdout.write('\b/')
                    elif (i%4) == 1: 
                        sys.stdout.write('\b-')
                    elif (i%4) == 2: 
                        sys.stdout.write('\b\\')
                    elif (i%4) == 3: 
                        sys.stdout.write('\b|')

                    sys.stdout.flush()
                    time.sleep(0.2)
                    i+=1

            if kill == True: 
                print '\b\b\b\b ABORT!',
            else: 
                print '\b\b done!',


kill = False      
stop = False
p = progress_bar_loading()
p.start()

try:
    #anything you want to run. 
    time.sleep(1)
    stop = True
except KeyboardInterrupt or EOFError:
         kill = True
         stop = True

你也可以用启迪。主要的优点是你可以在不覆盖进度条的同时记录日志。

import time
import enlighten

manager = enlighten.Manager()
pbar = manager.counter(total=100)

for num in range(1, 101):
    time.sleep(0.05)
    print('Step %d complete' % num)
    pbar.update()

它还可以处理多个进度条。

import time
import enlighten

manager = enlighten.Manager()
odds = manager.counter(total=50)
evens = manager.counter(total=50)

for num in range(1, 101):
    time.sleep(0.05)
    if num % 2:
        odds.update()
    else:
        evens.update()

iterrows的Progressbar。调整了@eusoubrasileiro代码，用于在循环遍历数据帧的行时显示进度。此外还显示百分比、ith/count、经过秒数、eps /sec、剩余秒数。允许指定第n个更新计数。

import time
import sys
def progressbar_iterrows(df, prefix="", size=60, file=sys.stdout, per=1000):
    count = len(df)
    t = 0
    def show(j,elapsed):
        avg = 0 if elapsed == 0 else j/elapsed
        remaining = 0 if avg == 0 else (count-j)/avg
        x = int(size*j/count)
        file.write("%s[%s%s] %i%% %i/%i elapsed:%i %i/sec remaining:%i\r" % (prefix, "#"*x, "."*(size-x), j/count, j, count, elapsed, avg, remaining))
        file.flush()
    file.write("Initializing ...\r")
    file.flush()
    for i, item in df.iterrows():
        yield i,item
        if t == 0:
            t = time.time()
        if i % per == 0:
            show(i,time.time()-t)
    file.write("\n")
    file.flush()

用法:

    for n,r in progressbar_iterrows(br_b_sections_df, "Processed: "):
        # do something

输出:

Processed: [........................] 0% 5000/28751240 elapsed:12 413/sec remaining:55054

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。