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 hex_tile() method of the plotting module.
plotting.figure.hex_tile()
Syntax : hex_tile(parameters)
Parameters :
- q : column axial coordinates of the center of the hexagon tiles
- r : row axial coordinates of the center of the hexagon tiles
- aspect_scale : aspect scale value, default is 1
- fill_alpha : fill alpha value of the hexagon tile markers
- fill_color : fill color value of the hexagon tile 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
- orientation : orientation value, default is pointytop
- scale : scale factor of individual tiles, default is 1
- size : radius of the hexagonal tiles, default is 1
- tags : user-supplied values for the model
Other Parameters :
- 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
Returns : an object of class
GlyphRenderer
Example 1 : 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.
# 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 Tiles Graph", match_aspect = True) # the points to be plotted r = [0, 0, 1] q = [1, 2, 2] # plotting the graph graph.hex_tile(r, q) # displaying the model show(graph) |
Output :
Example 2 : In this example we will be plotting the hexagon tiles with various parameters
# 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 Tiles Graph", match_aspect = True) # 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 r = [0, -1, 0, 1, -1, 0, 1] q = [0, 0, -1, -1, 1, 1, 0] # fill color values fill_color = ["yellow", "blue", "pink", "green", "orange", "red", "purple"] # line color values line_color = ["yellow", "blue", "pink", "green", "orange", "red", "purple"] # plotting the graph graph.hex_tile(r, q, fill_color = fill_color, line_color = line_color) # displaying the model show(graph) |
Output :
<!–
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