Python Bokeh – Plotting Hexagon Bins on a Graph
Last Updated :
10 Jul, 2020
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.
Bokeh can be used to plot hexagon tiles on a graph. Plotting hexagon tiles on a graph can be done using the hexbin()
method of the plotting
module.
plotting.figure.hexbin()
Syntax : hexbin(parameters)
Parameters :
- x : NumPy array of x-coordinates of the hexagon tile bins
- y : NumPy array of y-coordinates of the hexagon tile bins
- size : radius of the hexagonal tile bins, default is 1
- palette : orientation value, default is Viridis256
- orientation : palette to colormap the bins, default is pointytop
- line_color : color of the line, default is black
- fill_color : fill color value of the hexagon tile bin markers
- aspect_scale : aspect ratio scaling value
Any additional keyword arguments are passed to hex_tile()
.
Returns : an object of class GlyphRenderer
and DataFrame
Example 1 : In this example we will be using the default values for plotting the graph.
from bokeh.plotting import figure, output_file, show
import numpy as np
output_file( "gfg.html" )
graph = figure(title = "Bokeh Hexagon Bin Graph" )
x = np.array([ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ])
y = np.array([ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ])
graph.hexbin(x, y, size = 1 )
show(graph)
|
Output :
Example 2 : In this example we will be plotting the hexagon bins with various parameters
from bokeh.plotting import figure, output_file, show
import numpy as np
output_file( "gfg.html" )
graph = figure(title = "Bokeh Hexagon Bin Graph" )
graph.xaxis.axis_label = "x-axis"
graph.yaxis.axis_label = "y-axis"
x = np.random.standard_normal( 500 )
y = np.random.standard_normal( 500 )
size = 0.5
palette = "Plasma256"
graph.hexbin(x, y,
size = 0.5 ,
palette = palette)
show(graph)
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Output :
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