Python Bokeh – Plotting Xs on a Graph

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 frombokeh.plotting importfigure, 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  frombokeh.plotting importfigure, 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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