#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

受到许多不依赖包的答案的启发，我在这里分享我的实现。在任何循环中使用的函数都需要当前迭代数、迭代总数和初始时间。

import time    
def simple_progress_bar(i: int, n: int, init_time: float):
    avg_time = (time.time()-init_time)/(i+1)
    percent = ((i+1)/(n))*100
    print(
        end=f"\r|{'='*(int(percent))+'>'+'.'*int(100-int(percent))}|| " + \
        f"||Completion: {percent : 4.3f}% || \t "+ \
        f"||Time elapsed: {avg_time*(i+1):4.3f} seconds || \t " + \
        f"||Remaining time: {(avg_time*(n-(i+1))): 4.3f} seconds."
    )
    return



N = 325
t0 = time.time()
for k in range(N):
    # stuff goes here #
    time.sleep(0.0001)
    # stuff goes here #
    
    simple_progress_bar(k, N, t0)

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()

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%

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