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 dots on a graph. Plotting hexagon dots on a graph can be done using the
hex_dot()
method of the
plotting
module.
plotting.figure.hex_dot()Syntax : hex_dot(parameters) Parameters :Example 1 :Other Parameters :
- x : x-coordinates of the center of the hexagon dot markers
- y : y-coordinates of the center of the hexagon dot markers
- size : diameter of the hexagon dot markers, default is 4
- angle : angle of rotation of the hexagon dot markers, default is 0
- angle_units : unit of the angle, default is rad
- fill_alpha : fill alpha value of the hexagon dot markers
- fill_color : fill color value of the hexagon dot markers
- line_alpha : percentage value of line alpha, default is 1
- line_cap : value of line cap for the line, default is butt
- line_color : color of the line, default is black
- line_dash : value of line dash such as : solid, dashed, dotted, dotdash, dashdot [default is solid ]
- line_dash_offset : value of line dash offset, default is 0
- line_join : value of line join, default in bevel
- line_width : value of the width of the line, default is 1
- name : user-supplied name for the model
- tags : user-supplied values for the model
Returns : an object of class
- alpha : sets all alpha keyword arguments at once
- color : sets all color keyword arguments at once
- legend_field : name of a column in the data source that should be used
- legend_group : name of a column in the data source that should be used
- legend_label : labels the legend entry
- muted : determines whether the glyph should be rendered as muted or not, default is False
- name : optional user-supplied name to attach to the renderer
- source : user-supplied data source
- view : view for filtering the data source
- visible : determines whether the glyph should be rendered or not, default is True
- x_range_name : name of an extra range to use for mapping x-coordinates
- y_range_name : name of an extra range to use for mapping y-coordinates
- level : specifies the render level order for this glyph
GlyphRenderer
In this example we will be using the default values for plotting the graph. We have provided the size and fill_color attributes to make the glyph visible.
Python3
# 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 Hexagon Dot Graph")
# the points to be plotted
x = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5]
y = [i ** 2 for i in x]
# plotting the graph
graph.hex_dot(x, y, size = 25, fill_color = None)
# displaying the model
show(graph)
Output : Example 2 :
In this example we will be plotting the hexagon dots where the sizes are in proportion to their values and various other parameters
Python3
# 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 Hexagon Dot Graph")
# name of the x-axis
graph.xaxis.axis_label = "x-axis"
# name of the y-axis
graph.yaxis.axis_label = "y-axis"
# the points to be plotted
x = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5]
y = [i ** 2 for i in x]
# size of the diamonds
size = [i * 2 for i in y]
# angle of the diamonds
angle = 10
# fill color value
fill_color = "yellow"
# color of the line
line_color = "red"
# name of the legend
legend_label = "Sample Hexagons"
# plotting the graph
graph.hex_dot(x, y,
size = size,
angle = angle,
fill_color = fill_color,
line_color = line_color,
legend_label = legend_label)
# displaying the model
show(graph)
Output :
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UTF-8
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