1、渲染完整 HTML

这种情况可用于：

服务端 html 直出的场景

生成可交互可视化共享

Excel 嵌入工具的场景

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()

我们可以在做数据分析教程的过程中使用我们的数据 PyG2Plot 可视化和预览，非常方便！

以上是pyg2plot在python中的使用，希希望能对大家有所帮助。更多Python学习指导：python基础教程