IOPub消息速率超过HoloViews

Question

我试图使用periodic函数在DynamicMap上绘制一个路径，但是我的朱庇特笔记本开始抱怨下面的错误消息：

IOPub message rate exceeded.
The notebook server will temporarily stop sending output
to the client in order to avoid crashing it.
To change this limit, set the config variable
`--NotebookApp.iopub_msg_rate_limit`.

Current values:
NotebookApp.iopub_msg_rate_limit=1000.0 (msgs/sec)
NotebookApp.rate_limit_window=3.0 (secs)

这是我的密码：

def paths3():
    N = 50
    x = np.linspace(0,10,N)
    y = (2 * x + 3)

    f = 0.0
    g = 0.5

    while True:
        i = np.clip(int((N-1)*f),0,N-1)
        j = np.clip(int((N-1)*(f-g)),0,N-1)
        if j < 0:
            j = 0

        alpha_max = 1 if f <= 1 else ((1.0-(f-g))*N) / N

        alpha = np.concatenate((np.zeros(j),np.linspace(0.1,alpha_max,(i-j+1)),np.zeros(N-(i+1))))

        data = pd.DataFrame({'x':x,'y':y,'alpha':alpha})

        yield hv.Path(data, vdims='alpha').opts(alpha='alpha')

        if f > 2:
            f = 0
        else:
            f += 0.01

paths3 = paths3()
dmap = hv.DynamicMap(paths3, streams=[Stream.define('Next')()])
dmap

dmap.periodic(0.1, 100)

我知道人们也有过类似的问题，但那是早在2017年就有了一个老版本的朱庇特笔记本。

这是我的木星笔记本中的“关于”一节：

Server Information:

You are using Jupyter notebook.

The version of the notebook server is: 6.0.1
The server is running on this version of Python:

Python 3.6.9 |Anaconda, Inc.| (default, Jul 30 2019, 14:00:49) [MSC v.1915 64 bit (AMD64)]

Current Kernel Information:

Python 3.6.9 |Anaconda, Inc.| (default, Jul 30 2019, 14:00:49) [MSC v.1915 64 bit (AMD64)]
Type "copyright", "credits" or "license" for more information.

IPython 5.8.0 -- An enhanced Interactive Python.
?         -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help      -> Python's own help system.
object?   -> Details about 'object', use 'object??' for extra details.

Answer 1

(启动jupyter笔记本时)将消息率设置为10,000或100,000有帮助吗，如下所示：

jupyter notebook --NotebookApp.iopub_msg_rate_limit=10000

这个问题是指一个类似的问题：

IOPub data rate exceeded in Jupyter notebook (when viewing image)