[英]What packages do I use to create a visualization dashboard in IPython Notebook?
I'm looking to create a visualization dashboard to display "site search analysis" in Ipyhton notebook in a presentable format and need to know what modules or packages should I use to accomplish that? 我正在寻找创建一个可视化仪表板,在Ipyhton笔记本中以可呈现的格式显示“站点搜索分析” ,并且需要知道我应该使用哪些模块或包来实现这一目标?
-What I've done already? - 我已经做了什么? I'm able to create the plots using matplotlib library.
我可以使用matplotlib库创建绘图。 The charts that Ive plotted are pretty simple line graphs/histograms like "Unique search term and their frequencies","Most used search term of the day" and so on
我绘制的图表是非常简单的线图/直方图,如“唯一搜索词及其频率”,“当天最常用的搜索词”等等
-What I need? -我需要的? I need to create a GUI/Dashboard where I can put these charts along with other controls like timeframe(1m | 1day | current),refresh etc. so that this can be used to gauge the real-time state of the site.
我需要创建一个GUI / Dashboard,我可以将这些图表与其他控件一起放置,如时间范围(1m | 1day | current),刷新等,以便可以用来衡量网站的实时状态。
References - This is a sample dashboard that I'm looking to replicate in Ipyhton - https://apps.sematext.com/sa-reports/mainPage.do?selectedApplication=13 参考资料 - 这是我希望在Ipyhton中复制的示例仪表板 - https://apps.sematext.com/sa-reports/mainPage.do?selectedApplication=13
Please help! 请帮忙! What modules/packages should I use to do this quickly in Python?
我应该使用哪些模块/软件包在Python中快速完成此操作?
You can try bowtie (as a disclaimer, I'm the author). 你可以试试bowtie (作为免责声明,我是作者)。
It has support for matplotlib using SVG elements. 它支持使用SVG元素的matplotlib。
https://bowtie-py.readthedocs.io/en/latest/components.html#svg https://bowtie-py.readthedocs.io/en/latest/components.html#svg
You can easily add control elements like buttons and date pickers to the dashboard as well. 您也可以轻松地将控件元素(如按钮和日期选择器)添加到仪表板中。 Just look for the control widgets in the docs.
只需在文档中查找控件小部件即可。
try this, : https://github.com/litaotao/IPython-Dashboard 试试这个: https : //github.com/litaotao/IPython-Dashboard
A stand alone, light-weight web server for building, sharing graphs created in ipython. 一个独立的,轻量级的Web服务器,用于构建,共享在ipython中创建的图形。 Build for data science, data analysis guys.
为数据科学,数据分析人员打造。 Building an interactive visualization, collaborated dashboard, and real-time streaming graph
构建交互式可视化,协作仪表板和实时流图
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