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:

我想我有点晚了，但这应该适用于使用当前版本的python 3的人，因为这使用了“f-strings”，正如python 3.6 PEP 498中介绍的那样:

Code

from numpy import interp

class Progress:
    def __init__(self, value, end, title='Downloading',buffer=20):
        self.title = title
        #when calling in a for loop it doesn't include the last number
        self.end = end -1
        self.buffer = buffer
        self.value = value
        self.progress()

    def progress(self):
        maped = int(interp(self.value, [0, self.end], [0, self.buffer]))
        print(f'{self.title}: [{"#"*maped}{"-"*(self.buffer - maped)}]{self.value}/{self.end} {((self.value/self.end)*100):.2f}%', end='\r')

例子

#some loop that does perfroms a task
for x in range(21)  #set to 21 to include until 20
    Progress(x, 21)

输出

Downloading: [########------------] 8/20 40.00%

你可以使用tqdm:

from tqdm import tqdm

with tqdm(total=100, desc="Adding Users", bar_format="{l_bar}{bar} [ time left: {remaining} ]") as pbar:
    for i in range(100):
        time.sleep(3)
        pbar.update(1)

在本例中，进度条运行了5分钟 它是这样显示的:

Adding Users:   3%|█████▊                                     [ time left: 04:51 ]                                                                                                        

您可以随心所欲地更改它和自定义它。

这里有一个非常简单的版本，如果你有一个循环，只是想了解迭代的进展，比如每一个点，比如说，5000次迭代。

my_list = range(0,100000)

counter = 0
for x in my_list:
    #your code here

    counter = counter + 1
    if counter % 5000 == 0:
        print(".", end="") # end="" avoids a newline, keeps dots together

print() #this makes sure whatever you print next is in a new line

My_list不是方案的一部分。使用你自己的迭代对象，不管你在循环什么。 这个版本没有提前告诉您总共有多少次迭代。

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%

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%]
>>>