import sys
import time
def progress_bar():
  for i in range(1, 101):
    print("\r", end="")
    print("Download progress: {}%: ".format(i), "▋" * (i // 2), end="")
    sys.stdout.flush()
    time.sleep(0.05)
if __name__ == '__main__':
  progress_bar()

import time
scale = 50
print("执行开始，祈祷不报错".center(scale // 2,"-"))
start = time.perf_counter()
for i in range(scale + 1):
  a = "*" * i
  b = "." * (scale - i)
  c = (i / scale) * 100
  dur = time.perf_counter() - start
  print("\r{:^3.0f}%[{}->{}]{:.2f}s".format(c,a,b,dur),end = "")
  time.sleep(0.1)
print("\n"+"执行结束，万幸".center(scale // 2,"-"))

from time import sleep
from tqdm import tqdm
# 这里同样的，tqdm就是这个进度条最常用的一个方法
# 里面存一个可迭代对象
for i in tqdm(range(1, 500)):
  # 模拟你的任务
  sleep(0.01)
sleep(0.5)

import time
from progress.bar import IncrementalBar
mylist = [1,2,3,4,5,6,7,8]
bar = IncrementalBar('Countdown', max = len(mylist))
for item in mylist:
  bar.next()
  time.sleep(1)
  bar.finish()

from alive_progress import alive_bar
# retrieve your set of items
items = range(100)       
# declare your expected total   
with alive_bar(len(items)) as bar:  
  # iterate as usual
  for item in items:        
    # process each item
    bar()
    time.sleep(0.1)

import PySimpleGUI as sg
import time
mylist = [1,2,3,4,5,6,7,8]
for i, item in enumerate(mylist):
  sg.one_line_progress_meter('This is my progress meter!', i+1, len(mylist), '-key-')
  time.sleep(1)