Plotting a Line Graph

Python Bokeh – Plotting a Line 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 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.filter_none

# 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.filter_none

# 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.filter_none

# 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 :

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Reference : https://www.geeksforgeeks.org/python-bokeh-plotting-a-line-graph/

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