Python Bokeh Plotting a Line Graph (original) (raw)

Last Updated : 03 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 a line graph. Plotting a line graph can be done using the line() method of the plotting module.

plotting.figure.line()

Syntax : line(parameters)

Parameters :

• x : x-coordinates of the points to be plotted
• y : y-coordinates of the points to be plotted
• 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 this 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 Line Graph" )

x = [ 1 , 2 , 3 , 4 , 5 ]

y = [ 1 , 6 , 8 , 2 , 3 ]

graph.line(x, y)

show(graph)

Output :

**Example 2 :**In this example we will be plotting a line graph with dotted lines alongside other parameters.

from bokeh.plotting import figure, output_file, show

output_file( "gfg.html" )

graph = figure(title = "Bokeh Line Graph" )

graph.xaxis.axis_label = "x-axis"

graph.yaxis.axis_label = "y-axis"

x = [ 1 , 2 , 3 , 4 , 5 ]

y = [ 5 , 2 , 1 , 7 , 1 ]

line_color = "red"

line_dash = "dotted"

line_dash_offset = 1

legend_label = "Sample Line"

graph.line(x, y,

`` line_color = line_color,

`` line_dash = line_dash,

`` line_dash_offset = line_dash_offset,

`` legend_label = legend_label)

show(graph)

Output :

**Example 3 :**Now we will see how to plot multiple lines in the same graph. We will generate the points using the random() function.

from bokeh.plotting import figure, output_file, show

import random

output_file( "gfg.html" )

graph = figure(title = "Bokeh Line Graph" )

graph.xaxis.axis_label = "x-axis"

graph.yaxis.axis_label = "y-axis"

x = []

y = []

for i in range ( 100 ):

`` x.append(i)

for i in range ( 100 ):

`` y.append( 1 + random.random())

line_color = "red"

line_dash = "solid"

legend_label = "Line 1"

graph.line(x, y,

`` line_color = line_color,

`` line_dash = line_dash,

`` legend_label = legend_label)

x = []

y = []

for i in range ( 100 ):

`` x.append(i)

for i in range ( 100 ):

`` y.append(random.random())

line_color = "green"

line_dash = "dotdash"

line_dash_offset = 1

legend_label = "Line 2"

graph.line(x, y,

`` line_color = line_color,

`` line_dash = line_dash,

`` line_dash_offset = line_dash_offset,

`` legend_label = legend_label)

show(graph)

Output :