tqdm就能非常完美的支持和解决这些问题，可以实时输出处理进度而且占用的CPU资源非常少，支持循环处理、多进程、递归处理、还可以结合linux的命令来查看处理情况，等进度展示。

1.关于tqdm的简单用法

方法一：
import time
from tqdm import tqdmfor i in tqdm(range(200)):time.sleep(0.01)方法二：
针对迭代对象是range()的情况，tqdm还提供了简化版的trange()来代替tqdm(range())：import time
from tqdm import trangefor i in trange(200):time.sleep(0.01)

2.设置进度条的描述信息

import time
from tqdm import trange, tqdmpbar = tqdm(['a','b','c','d'])
for char in pbar:# 设置描述信息pbar.set_description("Processing %s" % char)time.sleep(1)

Processing b:  25%|██▌       | 1/4 [00:01<00:03,  1.00s/it]
Processing c:  50%|█████     | 2/4 [00:02<00:02,  1.00s/it]
Processing d:  75%|███████▌  | 3/4 [00:03<00:01,  1.00s/it]
Processing d: 100%|██████████| 4/4 [00:04<00:00,  1.00s/it]

3.手动控制进度条

方法1:
import time
from tqdm import tqdm# 一共200个，每次更新10，一共更新20次
with tqdm(total=200) as pbar:# 设置描述for i in range(20):pbar.update(10)time.sleep(1)方法2:
import time
from tqdm import tqdm# total参数设置进度条的总长度
pbar = tqdm(total=200)
for i in range(20):
# 每次更新进度条的长度pbar.update(10)time.sleep(0.1)
# 关闭占用的资源
pbar.close()

0%|▌         | 10/200 [00:00<00:5, 18.00it/s]
5%|▌         | 10/200 [00:00<00:10, 18.87it/s]
10%|█         | 20/200 [00:01<00:09, 19.90it/s]
15%|█▌        | 30/200 [00:02<00:16, 10.23it/s]
25%|██▌       | 50/200 [00:04<00:12, 12.03it/s]
30%|███▌      | 70/200 [00:06<00:11, 10.87it/s]
35%|███▌      | 70/200 [00:06<00:11, 10.88it/s]
40%|████      | 80/200 [00:07<00:11, 10.42it/s]
.....
75%|███████▌  | 150/200 [00:14<00:04, 10.02it/s]
95%|█████████▌| 190/200 [00:18<00:01,  9.97it/s]
100%|██████████| 200/200 [00:20<00:00,  9.96it/s]