对于Python 3.6，以下工作为我更新输出内联:

for current_epoch in range(10):
    for current_step) in range(100):
        print("Train epoch %s: Step %s" % (current_epoch, current_step), end="\r")
print()

import progressbar
import time

# Function to create  
def animated_marker():
    widgets = ['Loading: ', progressbar.Bar('=', '[', ']', '-'), progressbar.Percentage()]
    bar = progressbar.ProgressBar(max_value=200,widgets=widgets).start() 
      
    for i in range(200): 
        time.sleep(0.1)
        bar.update(i+1)
    bar.finish()

# Driver's code 
animated_marker()

在这里你可以使用以下代码作为函数:

def drawProgressBar(percent, barLen = 20):
    sys.stdout.write("\r")
    progress = ""
    for i in range(barLen):
        if i < int(barLen * percent):
            progress += "="
        else:
            progress += " "
    sys.stdout.write("[ %s ] %.2f%%" % (progress, percent * 100))
    sys.stdout.flush()

使用.format:

def drawProgressBar(percent, barLen = 20):
    # percent float from 0 to 1. 
    sys.stdout.write("\r")
    sys.stdout.write("[{:<{}}] {:.0f}%".format("=" * int(barLen * percent), barLen, percent * 100))
    sys.stdout.flush()

对于Python 3.6，以下工作为我更新输出内联:

for current_epoch in range(10):
    for current_step) in range(100):
        print("Train epoch %s: Step %s" % (current_epoch, current_step), end="\r")
print()

我发现有用的库tqdm (https://github.com/tqdm/tqdm/，以前是:https://github.com/noamraph/tqdm)。它可以自动估计完成时间，也可以用作迭代器。

用法:

import tqdm
import time

for i in tqdm.tqdm(range(1000)):
    time.sleep(0.01)
    # or other long operations

结果:

|####------| 450/1000  45% [elapsed: 00:04 left: 00:05, 99.15 iters/sec]

TQDM可以包装任何可迭代对象。

要成为纯python并且不进行系统调用:

from time import sleep

for i in range(21):
    spaces = " " * (20 - i)
    percentage = 5*i
    print(f"\r[{'='*i}{spaces}]{percentage}%", flush=True, end="")
    sleep(0.25)