Python Bokeh - Plotting a Line Graph

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.

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)