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