如何实现进度条

Question

如何在jupyter-notebook中实现进度条？

我已经这样做了：

count = 0
max_count = 100
bar_width = 40
while count <= max_count:
    time.sleep(.1)
    b = bar_width * count / max_count
    l = bar_width - b
    print '\r' + u"\u2588" * b + '-' * l,
    count += 1

当我可以访问用于打印输出的循环时，这很棒。但有人知道有什么聪明的东西可以异步运行某种进度条吗？

Answer 1

看看这个开源小部件：log-process

Answer 2

这是一个解决方案（this之后）。

from ipywidgets import IntProgress
from IPython.display import display
import time

max_count = 100

f = IntProgress(min=0, max=max_count) # instantiate the bar
display(f) # display the bar

count = 0
while count <= max_count:
    f.value += 1 # signal to increment the progress bar
    time.sleep(.1)
    count += 1

如果循环中更改的值为float而不是int，则可以改为使用ipwidgets.FloatProgress。

Answer 3

您可以尝试tqdm。示例代码：

# pip install tqdm
from tqdm import tqdm_notebook

# works on any iterable, including cursors. 
# for iterables with len(), no need to specify 'total'.
for rec in tqdm_notebook(items, 
                         total=total, 
                         desc="Processing records"):
    # any code processing the elements in the iterable
    len(rec.keys())

演示： https://youtu.be/T0gmQDgPtzY

Answer 4

2020年8月，log-process小部件已不再集成到tqdm中，因此不再是一种适用的方法。第一个教程示例（使用新的API）在VSCode中是开箱即用的，我怀疑它在Jupyter中也能很好地工作。

from tqdm import tqdm
for i in tqdm(range(10)):
    pass

Answer 5

我已经使用ipywidgets和线程在方法调用期间实现了进度条，请参见下面的示例

import threading
import time
import ipywidgets as widgets
def method_I_want_progress_bar_for():   
    progress = widgets.FloatProgress(value=0.0, min=0.0, max=1.0)
    finished = False
    def work(progress):#method local to this method
        total = 200
        for i in range(total):
            if finished != True:
                time.sleep(0.2)
                progress.value = float(i+1)/total
            else:
                progress.value = 200
                break

    thread = threading.Thread(target=work, args=(progress,))
    display(progress)
    #start the progress bar thread
    thread.start()

    #Whatever code you want to run async

    finished = True #To set the process bar to 100% and exit the thread

Answer 6

另一个使用 tqdm 的进度条示例

from tqdm import tqdm

my_list = list(range(100))

with tqdm(total=len(my_list)) as pbar:
    for x in my_list:
        pbar.update(1)