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 :