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)
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
items = range(100)  # retrieve your set of items
with alive_bar(len(items)) as bar: # declare your expected total
 for item in items: # iterate as usual
 # 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)