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.
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)
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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)
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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)
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Output :
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