tqdm模块
2024-09-05 10:34:40
tqdm 是 Python 进度条库。
tqdm库下面有2个类我们经常使用：
1.
2.
可以在 Python 长循环中添加一个进度提示信息用法：tqdm(iterator)
trange(i) 是 tqdm(range(i)) 的简单写法。
可以总结为三个方法：
方法一：
# 方法1：
import time
from tqdm import tqdm for i in tqdm(range()):
time.sleep(0.01) 方法1+：
import time
from tqdm import trange for i in trange():
time.sleep(0.01)
结果如下：
%| | / [:<?, ?it/s]
%|█ | / [:<:, .10it/s]
%|██ | / [:<:, .77it/s]
%|███ | / [:<:, .71it/s]
%|████ | / [:<:, .49it/s]
%|█████ | / [:<:, .56it/s]
%|██████ | / [:<:, .82it/s]
%|███████ | / [:<:, .57it/s]
%|████████ | / [:<:, .44it/s]
%|█████████ | / [:<:, .82it/s]
%|██████████| / [:<:, .81it/s]
%|██████████| / [:<:, .91it/s]
%| | / [:<?, ?it/s]
%|█ | / [:<:, .74it/s]
%|██ | / [:<:, .20it/s]
%|███ | / [:<:, .83it/s]
%|████ | / [:<:, .83it/s]
%|█████ | / [:<:, .57it/s]
%|██████ | / [:<:, .90it/s]
%|███████ | / [:<:, .88it/s]
%|████████ | / [:<:, .00it/s]
%|█████████ | / [:<:, .69it/s]
%|██████████| / [:<:, .76it/s]
%|██████████| / [:<:, .71it/s]
方法二：可以为进度条设置描述
import time
from tqdm import tqdm pbar = tqdm(["a", "b", "c", "d"])
for char in pbar:
# 设置描述
pbar.set_description("Processing %s" % char)
time.sleep(0.2)
%| | / [:<?, ?it/s]
Processing a: %| | / [:<?, ?it/s]
Processing a: %|██▌ | / [:<:, .99it/s]
Processing b: %|██▌ | / [:<:, .99it/s]
Processing b: %|█████ | / [:<:, .99it/s]
Processing c: %|█████ | / [:<:, .99it/s]
Processing c: %|███████▌ | / [:<:, .99it/s]
Processing d: %|███████▌ | / [:<:, .99it/s]
Processing d: %|██████████| / [:<:, .99it/s]
Processing d: %|██████████| / [:<:, .99it/s]
方法三：手动更新
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:
pbar.set_description("Processing")
for i in range(20):
pbar.update(10)
time.sleep(0.1) #方法2：
pbar = tqdm(total=200)
for i in range(20):
pbar.update(10)
time.sleep(0.1)
pbar.close()
0%| | 0/200 [00:00<?, ?it/s]
Processing: 0%| | 0/200 [00:00<?, ?it/s]
Processing: 10%|█ | 20/200 [00:00<00:00, 198.53it/s]
Processing: 15%|█▌ | 30/200 [00:00<00:01, 152.68it/s]
Processing: 20%|██ | 40/200 [00:00<00:01, 131.50it/s]
Processing: 25%|██▌ | 50/200 [00:00<00:01, 119.83it/s]
Processing: 30%|███ | 60/200 [00:00<00:01, 112.82it/s]
Processing: 35%|███▌ | 70/200 [00:00<00:01, 108.39it/s]
Processing: 40%|████ | 80/200 [00:00<00:01, 105.48it/s]
Processing: 45%|████▌ | 90/200 [00:00<00:01, 103.54it/s]
Processing: 50%|█████ | 100/200 [00:00<00:00, 102.21it/s]
Processing: 55%|█████▌ | 110/200 [00:01<00:00, 101.32it/s]
Processing: 60%|██████ | 120/200 [00:01<00:00, 100.70it/s]
Processing: 65%|██████▌ | 130/200 [00:01<00:00, 100.27it/s]
Processing: 70%|███████ | 140/200 [00:01<00:00, 100.17it/s]
Processing: 75%|███████▌ | 150/200 [00:01<00:00, 100.00it/s]
Processing: 80%|████████ | 160/200 [00:01<00:00, 99.78it/s]
Processing: 85%|████████▌ | 170/200 [00:01<00:00, 99.75it/s]
Processing: 90%|█████████ | 180/200 [00:01<00:00, 99.60it/s]
Processing: 95%|█████████▌| 190/200 [00:01<00:00, 99.71it/s]
Processing: 100%|██████████| 200/200 [00:01<00:00, 99.68it/s]
Processing: 100%|██████████| 200/200 [00:02<00:00, 99.39it/s] 0%| | 0/200 [00:00<?, ?it/s]
10%|█ | 20/200 [00:00<00:00, 198.60it/s]
15%|█▌ | 30/200 [00:00<00:01, 152.73it/s]
20%|██ | 40/200 [00:00<00:01, 131.51it/s]
25%|██▌ | 50/200 [00:00<00:01, 119.83it/s]
30%|███ | 60/200 [00:00<00:01, 112.82it/s]
35%|███▌ | 70/200 [00:00<00:01, 108.38it/s]
40%|████ | 80/200 [00:00<00:01, 105.37it/s]
45%|████▌ | 90/200 [00:00<00:01, 103.56it/s]
50%|█████ | 100/200 [00:00<00:00, 102.19it/s]
55%|█████▌ | 110/200 [00:01<00:00, 101.52it/s]
60%|██████ | 120/200 [00:01<00:00, 100.93it/s]
65%|██████▌ | 130/200 [00:01<00:00, 100.43it/s]
70%|███████ | 140/200 [00:01<00:00, 100.08it/s]
75%|███████▌ | 150/200 [00:01<00:00, 100.04it/s]
80%|████████ | 160/200 [00:01<00:00, 99.90it/s]
85%|████████▌ | 170/200 [00:01<00:00, 99.92it/s]
90%|█████████ | 180/200 [00:01<00:00, 99.81it/s]
95%|█████████▌| 190/200 [00:01<00:00, 99.86it/s]
100%|██████████| 200/200 [00:01<00:00, 99.78it/s]
100%|██████████| 200/200 [00:02<00:00, 99.47it/s]
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