大数据可视化010

from pyecharts.charts import Liquid, Gridfrom pyecharts import options as optsdata = [0.475]# 创建第一个液体图表tu1 = (    Liquid(init_opts=opts.InitOpts(width="900px", height="600px"))    .add("", data,          is_outline_show=False,          color=["white"],          background_color="yellow",         center=["20%","50%"],         shape='arrow')    .set_global_opts(        title_opts=opts.TitleOpts(            ,            pos_left='5%',            title_textstyle_opts=opts.TextStyleOpts(font_size=50)        )    ))# 创建第二个液体图表tu2 = (    Liquid(init_opts=opts.InitOpts(width="900px", height="600px"))     .add("", data,          is_outline_show=False,          color=["white"],          background_color="red",         center=["80%","50%"],         shape='arrow')    .set_global_opts(        title_opts=opts.TitleOpts(            ,            pos_right='5%',            title_textstyle_opts=opts.TextStyleOpts(font_size=50)        )    ))# 将两个图表放置在网格中grid = (    Grid(init_opts=opts.InitOpts(width="900px", height="600px"))     .add(tu1, grid_opts=opts.GridOpts(pos_right='25%'))     .add(tu2, grid_opts=opts.GridOpts(pos_left='75%'))  )# 在 Jupyter Notebook 中渲染网格grid.render_notebook()