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Python Bokeh - Plotting Multiple Lines on a Graph

Python Bokeh - Plotting Multiple Lines on a Graph

Last Updated : 10 Jul, 2020

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 multiple lines on a graph. Plotting multiple lines on a graph can be done using the

multi_line()

method of the

plotting

module.

plotting.figure.multi_line()
Syntax : multi_line(parameters) Parameters : Other Parameters : Returns : an object of class GlyphRenderer
Example 1 :

In this example we will be using the default values for plotting the graph.

Python3
# 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 Multi Line Graph") 
   
# the points to be plotted 
xs = [[1, 2, 3, 4, 5], [-4, -2, 0, 2, 4]] 
ys = [[5, 3, 8, 0], [5, -4, 10, -2, 5]] 
  
# plotting the graph 
graph.multi_line(xs, ys) 
   
# displaying the model 
show(graph)
Output : Example 2 :

In this example we will be plotting the multiple lines with various other parameters

Python3
# importing the modules 
from bokeh.plotting import figure, output_file, show 
from bokeh.palettes import magma

# file to save the model 
output_file("gfg.html") 
     
# instantiating the figure object 
graph = figure(title = "Bokeh Multiple Line 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 = [n for n in range(-100, 101)]
x.reverse()
xs = [[n, 0] for n in x]
y1 = [n for n in range(1, 101)]
y1.reverse()
y = [n for n in range(1, 101)] + [0] + y1
ys = [[0, n] for n in y] 

# color of the lines
line_color = magma(201)
    
# plotting the graph 
graph.multi_line(xs, ys,
                 line_color = line_color) 
     
# displaying the model 
show(graph)
Output :

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