python进度条库tqdm的基本操作方法

import time
from tqdm import tqdm, trange

#trange(i)是tqdm(range(i))的一种简单写法
for i in trange(100):
    time.sleep(0.05)

for i in tqdm(range(100), desc='Processing'):
    time.sleep(0.05)

dic = ['a', 'b', 'c', 'd', 'e']
pbar = tqdm(dic)
for i in pbar:
    pbar.set_description('Processing '+i)
    time.sleep(0.2)
100%|██████████| 100/100 [00:06<00:00, 16.04it/s]
Processing: 100%|██████████| 100/100 [00:06<00:00, 16.05it/s]
Processing e: 100%|██████████| 5/5 [00:01<00:00,  4.69it/s]

import time
from tqdm import tqdm

with tqdm(total=200) as pbar:
    pbar.set_description('Processing:')
    # total表示总的项目, 循环的次数20*10(每次更新数目) = 200(total)
    for i in range(20):
        # 进行动作, 这里是过0.1s
        time.sleep(0.1)
        # 进行进度更新, 这里设置10个
        pbar.update(10)
Processing:: 100%|██████████| 200/200 [00:02<00:00, 91.94it/s]

class tqdm(object):
  """
  Decorate an iterable object, returning an iterator which acts exactly
  like the original iterable, but prints a dynamically updating
  progressbar every time a value is requested.
  """

  def __init__(self, iterable=None, desc=None, total=None, leave=False,
               file=sys.stderr, ncols=None, mininterval=0.1,
               maxinterval=10.0, miniters=None, ascii=None,
               disable=False, unit='it', unit_scale=False,
               dynamic_ncols=False, smoothing=0.3, nested=False,
               bar_fORMat=None, initial=0, gui=False):

import time
from tqdm import tqdm

# 发呆0.5s
def action():
    time.sleep(0.5)
with tqdm(total=100000, desc='Example', leave=True, ncols=100, unit='B', unit_scale=True) as pbar:
    for i in range(10):
        # 发呆0.5秒
        action()
        # 更新发呆进度
        pbar.update(10000)
Example: 100%|███████████████████████████████████████████████████| 100k/100k [00:05<00:00, 19.6kB/s]