方式 1

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from tqdm import tqdm
from time import sleep

for i in tqdm(range(1000)):
    sleep(0.01)

方式 2

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text = ""
for char in tqdm(["a", "b", "c", "d"]):
    text = text + char

方式 3

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for i in trange(100): 
   print(i)

方式 4

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pbar = tqdm(["a", "b", "c", "d"])
for char in pbar:
    pbar.set_description("Processing %s" % char)

应用

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print('epoch', epoch)
training_steps = tqdm(
    range(1, FLAGS.steps_per_epoch),
    initial=1, total=FLAGS.steps_per_epoch
)

# main training loop
for step in training_steps:

    _, batch_loss, batch_accuracy = sess.run([
        ops['optimize'], ops['log_loss'], ops['accuracy']
    ])
    running_loss += batch_loss
    running_accuracy += batch_accuracy