Python Bokeh - Making Interactive Legends
Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity.
How to make Interactive legends?
The legend of a graph reflects the data displayed in the graph's Y-axis. In Bokeh, the legends correspond to glyphs. There are two ways to make legends interactive:
- Hiding
- Muting
Hiding Glyphs
A Glyph can be hidden from the legend by setting the legend click_policy property to "hide".
Example :
# 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)
Output :
Muting Glyphs
Hiding the glyph makes it vanish completely, on the other hand, muting the glyph just de-emphasizes the glyph based on the parameters. A Glyph can be muted from the legend by setting the legend click_policy property to "mute".
# 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)
Output :
