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:

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%

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。

这是创建进度条的简单方法

import time,sys
toolbar_width = 50
# setting up toolbar [-------------------------------------]
sys.stdout.write("[%s]"%(("-")*toolbar_width))
sys.stdout.flush()
# each hash represents 2 % of the progress
for i in range(toolbar_width):
    sys.stdout.write("\r") # return to start of line
    sys.stdout.flush()
    sys.stdout.write("[")#Overwrite over the existing text from the start 
    sys.stdout.write("#"*(i+1))# number of # denotes the progress completed 
    sys.stdout.flush()
    time.sleep(0.1)

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

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