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

PyProg试试。PyProg是Python的一个开源库，用于创建超级可定制的进度指示器和进度条。

它目前的版本是1.0.2;它托管在Github上，在PyPI上可用(链接如下)。它与Python 3和2兼容，也可以与Qt控制台一起使用。

它真的很容易使用。以下代码:

import pyprog
from time import sleep

# Create Object
prog = pyprog.ProgressBar(" ", "", 34)
# Update Progress Bar
prog.update()

for i in range(34):
    # Do something
    sleep(0.1)
    # Set current status
    prog.set_stat(i + 1)
    # Update Progress Bar again
    prog.update()

# Make the Progress Bar final
prog.end()

会产生:

Initial State:
Progress: 0% --------------------------------------------------

When half done:
Progress: 50% #########################-------------------------

Final State:
Progress: 100% ##################################################

我实际上做了PyProg，因为我需要一个简单但超级可定制的进度条库。您可以轻松地使用:pip install pyprog安装它。

PyProg Github： https://github.com/Bill13579/pyprog 皮皮：https://pypi.python.org/pypi/pyprog/

它在我的程序中工作得很好。此外，我们需要添加一个计数器来指示循环时间。这个计数器作为方法update的参数。 例如:读取测试文件的所有行，并对它们进行处理。假设函数dosth()与变量i无关。

lines = open(sys.argv[1]).readlines()
i = 0
widgets=[Percentage(), Bar()]
pbar = ProgressBar(widgets=widgets,maxval=len(lines)).start()
pbar.start()
for line in lines:<pre>
    dosth();
    i += 1
    pbar.update(i)</pre>
pbar.finish()

变量i通过方法update控制pbar的状态

#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

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

当在jupyter笔记本上运行时，使用普通的tqdm无法工作，因为它将输出写在多行上。用这个代替:

import time
from tqdm import tqdm_notebook as tqdm

for i in tqdm(range(100))
    time.sleep(0.5)