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 Xs on a graph. Plotting Xs on a graph can be done using the x() method of the plotting module.
plotting.figure.x()
Syntax : x(parameters)
Parameters :
- x : x-coordinates of the center of the x markers
- y : y-coordinates of the center of the x 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 X Graph") # the points to be plotted x = 0y = 0 # plotting the graph graph.x(x, y, size = 30) # displaying the model show(graph) |
Output :
Example 2 : In this example we will be plotting multiple Xs with various other 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 X Graph") # name of the x-axis graph.xaxis.axis_label = "x-axis" # name of the y-axis graph.yaxis.axis_label = "y-axis" # points to be plotted x = [3, 3, 5] y = [3, 1, 3] size = [130, 100, 60] # color value of the Xs color = ["yellow", "red", "purple"] # fill alpha value of the Xs fill_alpha = [0.9, 0.7, 0.5] # line width of the Xs line_width = [10, 15, 5] # plotting the graph graph.x(x, y, size = size, color = color, fill_alpha = fill_alpha, line_width = line_width) # displaying the model show(graph) |
Output :
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