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 pluses on a graph. Plotting pluses on a graph can be done using the plus()
method of the plotting
module.
plotting.figure.plus()
Syntax : plus(parameters)
Parameters :
- x : x-axis coordinates of the center the plus markers
- y : y-axis coordinates of the plus markers
Returns : an object of class
GlyphRenderer
Example 1 : In this example we will be using the default values for plotting the graph.
# 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 Plus 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.plus(x, y, size = 20 ) # displaying the model show(graph) |
Output :
Example 2 : In this example we will be plotting the pluses with dotted lines alongside other parameters and the size of the hexagons are in proportion to their values.
# 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 Plus 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 hexagons size = [i * 2 for i in y] # angle of the hexagons angle = 10 # fill color value fill_color = None # color of the line line_color = "red" # type of line line_dash = "dotted" # offset of line dash line_dash_offset = 1 # width of the dashes line_width = 10 # name of the legend legend_label = "Sample Pluses" # plotting the graph graph.plus(x, y, size = size, angle = angle, fill_color = fill_color, line_color = line_color, line_dash = line_dash, line_dash_offset = line_dash_offset, line_width = line_width, legend_label = legend_label) # displaying the model show(graph) |
Output :
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