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

Last Updated : 3 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.

Python3 1== `

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 Line Graph")

the points to be plotted

x = [1, 2, 3, 4, 5] y = [1, 6, 8, 2, 3]

plotting the line graph

graph.line(x, y)

displaying the model

show(graph)

`

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

Python3 1== `

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 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 = [1, 2, 3, 4, 5] y = [5, 2, 1, 7, 1]

color of the line

line_color = "red"

type of line

line_dash = "dotted"

offset of line dash

line_dash_offset = 1

name of the legend

legend_label = "Sample Line"

plotting the line graph for AAPL

graph.line(x, y, line_color = line_color, line_dash = line_dash, line_dash_offset = line_dash_offset, legend_label = legend_label)

displaying the model

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.

Python3 1== `

importing the modules

from bokeh.plotting import figure, output_file, show import random

file to save the model

output_file("gfg.html")

instantiating the figure object

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

name of the x-axis

graph.xaxis.axis_label = "x-axis"

name of the y-axis

graph.yaxis.axis_label = "y-axis"

plotting line 1

generating the points to be plotted

x = [] y = [] for i in range(100): x.append(i) for i in range(100): y.append(1 + random.random())

parameters of line 1

line_color = "red" line_dash = "solid" legend_label = "Line 1"

plotting the line

graph.line(x, y, line_color = line_color, line_dash = line_dash, legend_label = legend_label)

plotting line 2

generating the points to be plotted

x = [] y = [] for i in range(100): x.append(i) for i in range(100): y.append(random.random())

parameters of line 2

line_color = "green" line_dash = "dotdash" line_dash_offset = 1 legend_label = "Line 2"

plotting the line

graph.line(x, y, line_color = line_color, line_dash = line_dash, line_dash_offset = line_dash_offset, legend_label = legend_label)

displaying the model

show(graph)

`

Output :