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 rectangles on a graph. Plotting rectangles on a graph can be done using the rect() method of the plotting module.
plotting.figure.rect()
Syntax : rect(parameters)
Parameters :
- x : x-coordinates of the center of the rectangle
- y : y-coordinates of the center of the rectangle
- width : width of the rectangle
- width_units : unit of the width of the rectangle
- height : height of the rectangle
- height_units : unit of the height of the rectangle
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 Rectangle Graph", match_aspect = True) # the points to be plotted x = 0y = 0width = 10height = 5 # plotting the graph graph.rect(x, y, width, height) # displaying the model show(graph) |
Output :
Example 2 : In this example we will be plotting the multiple rectangles 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 Rectangle 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 = [0, 3, 5] y = [0, 3, 3] width = [2, 4, 6] height = [2, 3, 8] # color value of the rectangle color = ["yellow", "red", "blue"] # fill alpha value of the rectangle fill_alpha = [0.9, 0.7, 0.5] # plotting the graph graph.rect(x, y, width, height, color = color, fill_alpha = fill_alpha) # displaying the model show(graph) |
Output :
<!–
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