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 multiple polygons on a graph. Plotting multiple polygons on a graph can be done using the multi_polygons() method of the plotting module.
plotting.figure.multi_polygons()
Syntax : multi_polygons(parameters)
Parameters :
- xs : x-coordinates of the polygons
- ys : y-coordinates of the polygons
- fill_alpha : fill alpha values of the polygons
- fill_color : fill color values of the polygons
- hatch_alpha : hatch alpha values of the polygons, default is 1
- hatch_color : hatch color values of the polygons, default is black
- hatch_extra : hatch extra values of the polygons
- hatch_pattern : hatch pattern values of the polygons
- hatch_scale : hatch scale values of the polygons, default is 12
- hatch_weight : hatch weight values of the polygons, default is 1
- 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
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.
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 Multiple Polygons Graph") # the points to be plottedxs = [[[[0, 0, 1, 1]]]]ys = [[[[3, 2, 2, 3]]]] # plotting the graph graph.multi_polygons(xs, ys) # displaying the model show(graph) |
Output :
Example 2 : In this example we will be plotting the multiple polygons with 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 Multiple Polygons 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 plottedxs = [[[[0, 0, 1, 1]]], [[[2, 2, 4, 4], [2.5, 2.5, 3.5, 3.5]]], [[[2, 0, 4]]]]ys = [[[[2.5, 0.5, 0.5, 2.5]]], [[[1, 0, 0, 1], [0.75, 0.25, 0.25, 0.75]]], [[[2, 0, 0]]]]# color values of the polygonscolor = ["red", "purple", "yellow"]# fill alpha values of the polygonsfill_alpha = 0.5# plotting the graph graph.multi_polygons(xs, ys, color = color, fill_alpha = fill_alpha) # displaying the model show(graph) |
Output :
