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 quadratic curves on a graph. Plotting quadratic curves on a graph can be done using the quadratic() method of the plotting module.
plotting.figure.quadratic()
Syntax : quadratic(parameters)
Parameters :
- x0 : x-coordinates of the starting points of the quadratic
- y0 : y-coordinates of the starting points of the quadratic
- x1 : x-coordinates of the ending points of the quadratic
- y1 : y-coordinates of the ending points of the quadratic
- cx : x-coordinates of the control points of the quadratic
- cy : y-coordinates of the control points of the quadratic
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 Quadratic Graph") # the points to be plotted x0 = 1y0 = 4x1 = 5y1 = 4cx = 2.5cy = 8 # plotting the graph graph.quadratic(x0, y0, x1, y1, cx, cy) # displaying the model show(graph) |
Output :
Example 2 : In this example we will be plotting multiple quadratic curves 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 Quadratic 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 x0 = [1, 0, 0] y0 = [4, 8, 5] x1 = [5, 4, 4] y1 = [4, 8, 7] cx = [2.5, 2, 4] cy = [8, 3, 4] # line color value of the quadratic line_color = ["yellow", "red", "purple"] # line width value of the quadratic line_width = [10, 5, 8] # plotting the graph graph.quadratic(x0, y0, x1, y1, cx, cy, line_color = line_color, line_width = line_width) # displaying the model show(graph) |
Output :
<!–
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