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 :
- 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.
from bokeh.plotting import figure, output_file, show
output_file( "gfg.html" )
graph = figure(title = "Bokeh Multi Line Graph" )
xs = [[ 1 , 2 , 3 , 4 , 5 ], [ - 4 , - 2 , 0 , 2 , 4 ]]
ys = [[ 5 , 3 , 8 , 0 ], [ 5 , - 4 , 10 , - 2 , 5 ]]
graph.multi_line(xs, ys)
show(graph)
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Output :
Example 2 : In this example we will be plotting the multiple lines with various other parameters
from bokeh.plotting import figure, output_file, show
from bokeh.palettes import magma
output_file( "gfg.html" )
graph = figure(title = "Bokeh Multiple Line Graph" )
graph.xaxis.axis_label = "x-axis"
graph.yaxis.axis_label = "y-axis"
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]
line_color = magma( 201 )
graph.multi_line(xs, ys,
line_color = line_color)
show(graph)
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Output :
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