基本使用#
迭代的形式
使用
tqdm()
封装可迭代的对象:1
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7from tqdm import tqdm
from time import sleep
text = ""
for char in tqdm(["a", "b", "c", "d"]):
sleep(0.25)
text = text + char手动的形式
除了迭代的形式,你可以手动控制进度,加一个tqdm上下文即可:
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4with tqdm(total=100) as pbar:
for i in range(10):
sleep(0.1)
pbar.update(10)上述例子中,pbar 是 tpdm 的“进度”,每一次对 pbar 进行 update 10 都相当于进度加10。
也可以不是上下文形式:
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5pbar = tqdm(total=100)
for i in range(10):
sleep(0.1)
pbar.update(10)
pbar.close()观察处理的数据
通过
tqdm
提供的set_description
方法可以实时查看每次处理的数据1
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7from tqdm import tqdm
import time
pbar = tqdm(["a","b","c","d"])
for c in pbar:
time.sleep(1)
pbar.set_description("Processing %s"%c)linux命令行进度条
不使用tqdm
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6$ time find . -name '*.py' -type f -exec cat \{} \; | wc -l
857365
real 0m3.458s
user 0m0.274s
sys 0m3.325s使用tqdm
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7$ time find . -name '*.py' -type f -exec cat \{} \; | tqdm | wc -l
857366it [00:03, 246471.31it/s]
857365
real 0m3.585s
user 0m0.862s
sys 0m3.358s指定tqdm的参数控制进度条
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8$ find . -name '*.py' -type f -exec cat \{} \; |
tqdm --unit loc --unit_scale --total 857366 >> /dev/null
100%|███████████████████████████████████| 857K/857K [00:04<00:00, 246Kloc/s]
$ 7z a -bd -r backup.7z docs/ | grep Compressing |
tqdm --total $(find docs/ -type f | wc -l) --unit files >> backup.log
100%|███████████████████████████████▉| 8014/8014 [01:37<00:00, 82.29files/s]自定义进度条显示信息
通过
set_description
和set_postfix
方法设置进度条显示信息1
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12from tqdm import trange
from random import random,randint
import time
with trange(100) as t:
for i in t:
#设置进度条左边显示的信息
t.set_description("GEN %i"%i)
#设置进度条右边显示的信息
t.set_postfix(loss=random(),gen=randint(1,999),str="h",lst=[1,2])
time.sleep(0.1)1
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9from tqdm import tqdm
import time
with tqdm(total=10,bar_format="{postfix[0]}{postfix[1][value]:>9.3g}",
postfix=["Batch",dict(value=0)]) as t:
for i in range(10):
time.sleep(0.05)
t.postfix[1]["value"] = i / 2
t.update()多层循环进度条
通过
tqdm
也可以很简单的实现嵌套循环进度条的展示1
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6from tqdm import tqdm
import time
for i in tqdm(range(20), ascii=True,desc="1st loop"):
for j in tqdm(range(10), ascii=True,desc="2nd loop"):
time.sleep(0.01)多进程进度条
在使用多进程处理任务的时候,通过tqdm可以实时查看每一个进程任务的处理情况
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20from time import sleep
from tqdm import trange, tqdm
from multiprocessing import Pool, freeze_support, RLock
L = list(range(9))
def progresser(n):
interval = 0.001 / (n + 2)
total = 5000
text = "#{}, est. {:<04.2}s".format(n, interval * total)
for i in trange(total, desc=text, position=n,ascii=True):
sleep(interval)
if __name__ == '__main__':
freeze_support() # for Windows support
p = Pool(len(L),
# again, for Windows support
initializer=tqdm.set_lock, initargs=(RLock(),))
p.map(progresser, L)
print("\n" * (len(L) - 2))pandas中使用tqdm
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9import pandas as pd
import numpy as np
from tqdm import tqdm
df = pd.DataFrame(np.random.randint(0, 100, (100000, 6)))
tqdm.pandas(desc="my bar!")
df.progress_apply(lambda x: x**2)递归使用进度条
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40from tqdm import tqdm
import os.path
def find_files_recursively(path, show_progress=True):
files = []
# total=1 assumes `path` is a file
t = tqdm(total=1, unit="file", disable=not show_progress)
if not os.path.exists(path):
raise IOError("Cannot find:" + path)
def append_found_file(f):
files.append(f)
t.update()
def list_found_dir(path):
"""returns os.listdir(path) assuming os.path.isdir(path)"""
try:
listing = os.listdir(path)
except:
return []
# subtract 1 since a "file" we found was actually this directory
t.total += len(listing) - 1
# fancy way to give info without forcing a refresh
t.set_postfix(dir=path[-10:], refresh=False)
t.update(0) # may trigger a refresh
return listing
def recursively_search(path):
if os.path.isdir(path):
for f in list_found_dir(path):
recursively_search(os.path.join(path, f))
else:
append_found_file(path)
recursively_search(path)
t.set_postfix(dir=path)
t.close()
return files
find_files_recursively("E:/")注意
在使用
tqdm
显示进度条的时候,如果代码中存在print
可能会导致输出多行进度条,此时可以将print
语句改为tqdm.write
,代码如下1
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3for i in tqdm(range(10),ascii=True):
tqdm.write("come on")
time.sleep(0.1)alive-process 花式进度条