1、渲染出完整的 HTML
这种情况可以用于:
服务端 html 直出的场景
生成可交互可视化分享
Excel 等工具嵌入的场景
frompyg2plotimportPlot
line=Plot("Line")
line.set_options({
"data":[
{"year":"1991","value":3},
{"year":"1992","value":4},
{"year":"1993","value":3.5},
{"year":"1994","value":5},
{"year":"1995","value":4.9},
{"year":"1996","value":6},
{"year":"1997","value":7},
{"year":"1998","value":9},
{"year":"1999","value":13},
],
"xField":"year",
"yField":"value",
})
#1.renderhtmlfilenamedplot.html
line.render("plot.html")
#2.renderhtmlstring
line.render_html()
2、在 Jupyter notebook 中预览
frompyg2plotimportPlot
line=Plot("Line")
line.set_options({
"height":400,#setadefaultheightinjupyterpreview
"data":[
{"year":"1991","value":3},
{"year":"1992","value":4},
{"year":"1993","value":3.5},
{"year":"1994","value":5},
{"year":"1995","value":4.9},
{"year":"1996","value":6},
{"year":"1997","value":7},
{"year":"1998","value":9},
{"year":"1999","value":13},
],
"xField":"year",
"yField":"value",
})
line.render_notebook()
在我们做数据分析教程的过程中,可以将我们的数据使用 PyG2Plot 进行可视化并预览出来,十分方便!
以上就是python中pyg2plot的使用,希望能对大家有所帮助。更多Python学习指路:python基础教程