使用方法一: tqdm
tqdm(list)方法可以传入任意一种list,比如数组，同时tqdm中不仅仅可以传入list, 同时可以传入所有带len方法的可迭代对象，这里只以list对象为例：
from tqdm import tqdm
from time import sleep
for i in tqdm(range(1000)):
sleep(0.1)
61%|██████▏ | 614/1000 [01:01<00:38, 9.93it/s]
或是：
from tqdm import tqdm
from time import sleep
for i in tqdm(['a', 'b', 'c', 'd', 'e']):
sleep(0.1)
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40%|████ | 2/5 [00:00<00:00, 9.94it/s]
60%|██████ | 3/5 [00:00<00:00, 9.92it/s]
80%|████████ | 4/5 [00:00<00:00, 9.91it/s]
100%|██████████| 5/5 [00:00<00:00, 9.90it/s]
使用方法二: trange
trange(i) 是 tqdm(range(i)) 的等价写法
from tqdm import trange
from time import sleep
for i in trange(10):
sleep(1)
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90%|█████████ | 9/10 [00:09<00:01, 1.00s/it]
100%|██████████| 10/10 [00:10<00:00, 1.00s/it]
使用方法三: 改变循环信息
from tqdm import trange, tqdm
from time import sleep
pbar = tqdm(range(1000))
for char in pbar:
pbar.set_description("Processing %s" % char)
sleep(1)
或是：
from tqdm import trange, tqdm
from time import sleep
pbar = trange(10)
for char in pbar:
pbar.set_description("Processing %s" % char)
sleep(1)
0%| | 0/10 [00:00<?, ?it/s]
Processing 0: 0%| | 0/10 [00:00<?, ?it/s]
Processing 0: 10%|█ | 1/10 [00:01<00:09, 1.00s/it]
Processing 1: 10%|█ | 1/10 [00:01<00:09, 1.00s/it]
Processing 1: 20%|██ | 2/10 [00:02<00:08, 1.00s/it]
Processing 2: 20%|██ | 2/10 [00:02<00:08, 1.00s/it]
Processing 2: 30%|███ | 3/10 [00:03<00:07, 1.00s/it]
Processing 3: 30%|███ | 3/10 [00:03<00:07, 1.00s/it]
Processing 3: 40%|████ | 4/10 [00:04<00:06, 1.00s/it]
Processing 4: 40%|████ | 4/10 [00:04<00:06, 1.00s/it]
Processing 4: 50%|█████ | 5/10 [00:05<00:05, 1.00s/it]
Processing 5: 50%|█████ | 5/10 [00:05<00:05, 1.00s/it]
Processing 5: 60%|██████ | 6/10 [00:06<00:04, 1.00s/it]
Processing 6: 60%|██████ | 6/10 [00:06<00:04, 1.00s/it]
Processing 6: 70%|███████ | 7/10 [00:07<00:03, 1.00s/it]
Processing 7: 70%|███████ | 7/10 [00:07<00:03, 1.00s/it]
Processing 7: 80%|████████ | 8/10 [00:08<00:02, 1.00s/it]
Processing 8: 80%|████████ | 8/10 [00:08<00:02, 1.00s/it]
Processing 8: 90%|█████████ | 9/10 [00:09<00:01, 1.00s/it]
Processing 9: 90%|█████████ | 9/10 [00:09<00:01, 1.00s/it]
Processing 9: 100%|██████████| 10/10 [00:10<00:00, 1.00s/it]
或是
from tqdm import trange, tqdm
from time import sleep
for i in tqdm(range(100), desc='1st loop'):
sleep(1)
1st loop: 0%| | 0/10 [00:00<?, ?it/s]
1st loop: 10%|█ | 1/10 [00:01<00:09, 1.00s/it]
1st loop: 20%|██ | 2/10 [00:02<00:08, 1.00s/it]
1st loop: 30%|███ | 3/10 [00:03<00:07, 1.00s/it]
1st loop: 40%|████ | 4/10 [00:04<00:06, 1.00s/it]
1st loop: 50%|█████ | 5/10 [00:05<00:05, 1.00s/it]
1st loop: 60%|██████ | 6/10 [00:06<00:04, 1.00s/it]
1st loop: 70%|███████ | 7/10 [00:07<00:03, 1.00s/it]
1st loop: 80%|████████ | 8/10 [00:08<00:02, 1.00s/it]
1st loop: 90%|█████████ | 9/10 [00:09<00:01, 1.00s/it]
1st loop: 100%|██████████| 10/10 [00:10<00:00, 1.00s/it]
实际操作中发现 desc(str) 比 set_description 好用。
使用方法四 手动控制进度：
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:
for i in range(20):
pbar.update(10)
time.sleep(0.1)
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20%|██ | 40/200 [00:00<00:01, 131.22it/s]
25%|██▌ | 50/200 [00:00<00:01, 119.39it/s]
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35%|███▌ | 70/200 [00:00<00:01, 107.73it/s]
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45%|████▌ | 90/200 [00:00<00:01, 102.83it/s]
50%|█████ | 100/200 [00:00<00:00, 101.52it/s]
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60%|██████ | 120/200 [00:01<00:00, 100.04it/s]
65%|██████▌ | 130/200 [00:01<00:00, 99.54it/s]
70%|███████ | 140/200 [00:01<00:00, 99.23it/s]
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90%|█████████ | 180/200 [00:01<00:00, 98.75it/s]
95%|█████████▌| 190/200 [00:01<00:00, 98.71it/s]
100%|██████████| 200/200 [00:01<00:00, 98.56it/s]
或是：
pbar = tqdm(total=200)
for i in range(20):
pbar.update(10)
time.sleep(0.1)
# close() 不要也没出问题
pbar.close()
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25%|██▌ | 50/200 [00:00<00:01, 119.20it/s]
30%|███ | 60/200 [00:00<00:01, 112.22it/s]
35%|███▌ | 70/200 [00:00<00:01, 107.76it/s]
40%|████ | 80/200 [00:00<00:01, 104.90it/s]
45%|████▌ | 90/200 [00:00<00:01, 103.01it/s]
50%|█████ | 100/200 [00:00<00:00, 101.63it/s]
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95%|█████████▌| 190/200 [00:01<00:00, 98.63it/s]
100%|██████████| 200/200 [00:01<00:00, 98.63it/s]
可以显示循环的进度条的库，再也不用担心不知道程序跑到哪里还要跑多久了
tqdm()可以直接包裹iterable的对象
from tqdm import tqdm,trange
from time import sleep
text = ""
for char in tqdm(["a", "b", "c", "d"]):
text = text + char
sleep(0.1)
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100%|██████████| 4/4 [00:00<00:00, 9.91it/s]
trange(i)相当于tqdm(range(i))
for i in trange(100):
sleep(0.01)
可以在循环外面预先定义tqdm的对象
pbar = tqdm(["a", "b", "c", "d"])
for char in pbar:
pbar.set_description("Processing %s" % char)
有两个参数比较有用，desc(str)和leave(bool)
desc可以指定这个循环的的信息，以便区分。上面的set_description(str)和这个应该是一样的。
leave则表示进度条跑完了之后是否继续保留
for i in tqdm(range(10), desc='1st loop'):
for j in trange(100, desc='2nd loop', leave=False):
sleep(0.01)
如果要在Jupyter Notebook上面使用，那么要把tqdm换成tqdm_notebook，trange换成tnrange
from tqdm import tnrange, tqdm_notebook
from time import sleep
for i in tqdm_notebook(range(10), desc='1st loop'):
for j in tnrange(100, desc='2nd loop', leave=False):
sleep(0.01)
参考网址
