Python交互式可视化库——Bokeh

BokehBokeh是一个专门针对Web浏览器的呈现功能的交互式可视化Python库。这是Bokeh与其它可视化库最核心的区别。Bokeh绘图步骤①获取数据②构建画布figure()③添加图层，绘图line，circle，square，scatter，multi_line等；参数co lor，legend④自定义视觉属性⑤选择性展示折线数据，建立复选框激活显示，复选框(checkbox)图表实例1.散点图import numpy as npimport bokehfrom bokeh.layouts import gridplotfrom bokeh.plotting import figure, output_file, show# output_file("patch.html") #输出网页形式p = figure(plot_width=100, plot_height=100)#数据N=9x=np.linspace(-2,2,N)y=x**2sizes=np.linspace(10,20,N)xpts=np.array([-0.09,-0.12,0.0,0.12,0.09])ypts=np.array([-0.1,0.02,0.1,0.02,-0.1])p=figure(title="annular_wedge")p.annular_wedge(x,y,10,20,0.3,4.1,color="#8888ee",inner_radius_units="screen",outer_r ………………………………