跳转至

Python Bokeh–制作互动传说

原文:https://www.geesforgeks.org/python-bokeh-making-interactive-legends/

Bokeh 是一个 Python 交互式数据可视化工具。它使用 HTML 和 JavaScript 来渲染它的图。它以现代网络浏览器为呈现目标,提供优雅、简洁的新颖图形结构和高性能交互性。

如何制作互动传奇?

图表的图例反映了图表 Y 轴中显示的数据。在博克,传说对应于字形。有两种方法可以使图例互动:

  • 隐藏
  • 叛变

隐藏字形

通过将图例 click_policy 属性设置为“隐藏”,可以从图例中隐藏字形。

示例:

蟒蛇 3

# importing the modules 
from bokeh.plotting import figure, output_file, show 

# file to save the model 
output_file("gfg.html") 

# instantiating the figure object 
graph = figure(title = "Bokeh Hiding Glyphs") 

# plotting the graph
graph.vbar(x = 1,  top = 5,
           width = 1, color = "violet",
           legend_label = "Violet Bar")
graph.vbar(x = 2,  top = 5,
           width = 1, color = "green",
           legend_label = "Green Bar")
graph.vbar(x = 3,  top = 5,
           width = 1, color = "yellow",
           legend_label = "Yellow Bar")
graph.vbar(x = 4,  top = 5,
           width = 1, color = "red",
           legend_label = "Red Bar")

# enable hiding of the glyphs
graph.legend.click_policy = "hide"

# displaying the model 
show(graph) 

输出:

屏蔽字形

隐藏字形使其完全消失,另一方面,静音字形只是根据参数取消强调字形。通过将图例 click_policy 属性设置为“静音”,可以将图例中的字形静音。

蟒蛇 3

# importing the modules 
from bokeh.plotting import figure, output_file, show 

# file to save the model 
output_file("gfg.html") 

# instantiating the figure object 
graph = figure(title = "Bokeh Hiding Glyphs") 

# plotting the graph
graph.vbar(x = 1,  top = 5,
           width = 1, color = "violet",
           legend_label = "Violet Bar",
           muted_alpha=0.2)
graph.vbar(x = 2,  top = 5,
           width = 1, color = "green",
           legend_label = "Green Bar",
           muted_alpha=0.2)
graph.vbar(x = 3,  top = 5,
           width = 1, color = "yellow",
           legend_label = "Yellow Bar",
           muted_alpha=0.2)
graph.vbar(x = 4,  top = 5,
           width = 1, color = "red",
           legend_label = "Red Bar",
           muted_alpha=0.2)

# enable hiding of the glyphs
graph.legend.click_policy = "mute"

# displaying the model 
show(graph) 

输出:



回到顶部