#doesnt affect actual execution
#based on events and consumption in background
#may be that actual process completes a bit earlier than progress shows 99%
#make an instance with number of elements in a loop
#in each iteration call the method current_progress

import time
from math import ceil
import os
import sys
from threading import Thread
class progress_bar(object):
 def __init__(self,total_elements,length_bar=25):
  self.length_bar=length_bar
  self.total_elements=total_elements
  self.singleweight=(float(1)/float(total_elements))*100
  self.done=0
  self.qt=[0]
  self.call_count=0
  t=Thread(target=self.display_progress)
  t.start()
 def current_progress(self):
  self.done+=1
  self.qt=[self.done]+self.qt
 def display_progress(self):
  while True:
   try:
    done=self.qt.pop()
   except:
    continue
   else:
    self.call_count+=1
    self.progress=self.singleweight*done
    fill=ceil(self.progress)
    bar=int((fill*self.length_bar)/100)*"|"
    bar="["+bar+str(fill)+"%"
    barp=bar
    for i in range(0,self.length_bar+3-(len(bar))):
     barp=barp+"_"
    barp=barp+"]"
    if self.progress <= 100:
     os.system("clear")
     print("Progress:",barp, sep=' ', end='\n', file=sys.stdout, flush=True)
    if self.call_count == self.total_elements:
     break
  else:
   pass

使用tqdm (conda install tqdm或pip install tqdm)，你可以在一秒钟内为你的循环添加一个进度计:

from time import sleep
from tqdm import tqdm
for i in tqdm(range(10)):
    sleep(3)

 60%|██████    | 6/10 [00:18<00:12,  0.33 it/s]

此外，还有一个笔记本版本:

from tqdm.notebook import tqdm
for i in tqdm(range(100)):
    sleep(3)

您可以使用tqdm。Auto代替tqdm。笔记本电脑工作在两个终端和笔记本电脑。

tqdm。Contrib包含一些辅助函数，用于执行枚举、映射和压缩等操作。在tqdm.contrib.concurrent中有并发映射。

你甚至可以使用tqdm.contrib.telegram或tqdm.contrib.discord从jupyter笔记本断开连接后将进度发送到你的手机。

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()

PIP安装progressbar2

import os
import time
import progressbar 

os.environ['PYCHARM_HOSTED'] = '1' # https://github.com/WoLpH/python-progressbar/issues/237

class COLOR: # https://stackoverflow.com/a/287944/11465149
    YELLOW    = '\033[93m'
    GREEN     = '\033[92m'
    RED       = '\033[91m'
    BOLD      = '\033[1m'
    ENDC      = '\033[0m'

widgets=[
    'FILE.JSON ',
    COLOR.YELLOW          , progressbar.Percentage()                        , COLOR.ENDC,
    COLOR.RED + COLOR.BOLD, progressbar.Bar(left=' ', marker='━', right=' '), COLOR.ENDC,
    COLOR.YELLOW          , progressbar.Timer()                             , COLOR.ENDC
]

for i in progressbar.progressbar(range(100), widgets=widgets):
    time.sleep(0.01)
    if i == 99:
        widgets[4] = COLOR.GREEN

使用enumerate(…progressbar(max_value=…)+ this，以防你想使用它作为下载进度条

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%

使用这个库:fish (GitHub)。

用法:

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

玩得开心!