November 2022
Intermediate to advanced
392 pages
10h 8m
Chinese
Content preview from Python算法交易
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使用实时数据和套接字
｜
233
7.4
使用
Plotly
可视化流数据
实时可视化流数据通常是一项艰巨的任务。幸运的是，如今有许多技术和
Python
软
件包可以大大简化此类任务。在接下来的内容中，我们将使用
Plotly
，它既是一项
技术又是一项服务，可以为静态以及流式数据生成美观，交互式的图表。要继续进行，
我们需要安装
plotly
软件包。另外，使用
Jupyter Lab
时，需要安装几个
Jupyter
Lab
扩展。下面的命令需要在终端上执行。
conda install plotly ipywidgets
jupyter labextension install jupyterlab-plotly
jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter labextension install plotlywidget
7.4.1
基础部分
一旦安装了必需的软件包和扩展，生成流数据图就变得非常高效了。第一步是创建
Plotly
图形小部件。
In [1]: import zmq
from datetime import datetime
import plotly.graph_objects as go
In [2]: symbol = 'SYMBOL'
In [3]: fig = go.FigureWidget()
fig.add_scatter()
fig
Out[3]: ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.