Python Bokeh – Plotting Multiple Lines 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 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 :

  • xs : x-coordinates of the lines
  • ys : y-coordinates of the lines
  • line_alpha : percentage value of line alpha, default is 1
  • line_cap : value of line cap for the line, default is butt
  • line_color : color of the line, default is black
  • line_dash : value of line dash such as : solid, dashed, dotted, dotdash, dashdot [default is solid ]
  • line_dash_offset : value of line dash offset, default is 0
  • line_join : value of line join, default in bevel
  • line_width : value of the width of the line, default is 1
  • name : user-supplied name for the model
  • tags : user-supplied values for the model

Other Parameters :



  • alpha : sets all alpha keyword arguments at once
  • color : sets all color keyword arguments at once
  • legend_field : name of a column in the data source that should be used
  • legend_group : name of a column in the data source that should be used
  • legend_label : labels the legend entry
  • muted : determines whether the glyph should be rendered as muted or not, default is False
  • name : optional user-supplied name to attach to the renderer
  • source : user-supplied data source
  • view : view for filtering the data source
  • visible : determines whether the glyph should be rendered or not, default is True
  • x_range_name : name of an extra range to use for mapping x-coordinates
  • y_range_name : name of an extra range to use for mapping y-coordinates
  • level : specifies the render level order for this glyph

Returns : an object of class GlyphRenderer

Example 1 : In this example we will be using the default values for plotting the graph.

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# 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)

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Output :

Example 2 : In this example we will be plotting the multiple lines with various other parameters

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# 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)

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Output :




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