Python Bokeh – Plotting Horizontal Bar Graphs

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 horizontal bar graphs. Plotting horizontal bar graphs can be done using the hbar() method of the plotting module.

plotting.figure.hbar()

Syntax : hbar(parameters)

Parameters :

y : y-coordinates of the center of the horizontal bars

height : thickness of the horizontal bars

right : x-coordinates of the right edges

left : x-coordinates of the left edges, default is 0

fill_alpha : fill alpha value of the horizontal bars

fill_color : fill color value of the horizontal bars

hatch_alpha : hatch alpha value of the horizontal bars, default is 1

hatch_color : hatch color value of the horizontal bars, default is black

hatch_extra : hatch extra value of the horizontal bars

hatch_pattern : hatch pattern value of the horizontal bars

hatch_scale : hatch scale value of the horizontal bars, default is 12

hatch_weight : hatch weight value of the horizontal bars, default is 1

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 the 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.

   # 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 Horizontal Bar Graph") 
  
# y-coordinates to be plotted 
y = [1, 2, 3, 4, 5] 
  
# x-coordinates of the right edges 
right = [1, 2, 3, 4, 5] 
  
# height / thickness of the bars  
height = 0.5
  
# plotting the graph 
graph.hbar(y, 
           right = right, 
           height = height) 
  
# displaying the model 
show(graph) 
 
  

Output :

Example 2 :In this example we will be plotting horizontal bars with different parameters.

   # 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 Horizontal Bar Graph") 
  
# name of the x-axis 
graph.xaxis.axis_label = "x-axis"
      
# name of the y-axis 
graph.yaxis.axis_label = "y-axis"
  
# y-coordinates to be plotted 
y = [1, 2, 3, 4, 5] 
  
# x-coordinates of the right edges 
right = [1, 2, 3, 4, 5] 
  
# height / thickness of the bars  
height = [0.5, 0.4, 0.3, 0.2, 0.1] 
  
# color values of the bars 
fill_color = ["yellow", "pink", "blue", "green", "purple"] 
  
# plotting the graph 
graph.hbar(y, 
           right = right, 
           height = height, 
           fill_color = fill_color) 
  
# displaying the model 
show(graph) 
 
  

Output :

Python Bokeh - Plotting Vertical Bar Graphs

Yash_R

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Python Bokeh – Plotting Horizontal Bar Graphs

plotting.figure.hbar()

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