python怎么读（python中pyg2plot如何使用？）

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！