Stacked Bar chart in pygal

Pygal is a Python module that is mainly used to build SVG (Scalar Vector Graphics) graphs and charts. SVG is a vector-based graphics in the XML format that can be edited in any editor. Pygal can create graphs with minimal lines of code that can be easy to understand and write.

Stacked Bar Chart

This graph is similar to the bar chart but the only difference is that the values are stacked in it. It can be created using the StackedBar() method.

Syntax:

line_chart = pygal.StackedBar()

Example 1:

Python3

# importing pygal 

import pygal 

import numpy 

# creating the chart object 

bar_chart = pygal.StackedBar() 

# naming the title 

bar_chart.title = 'Stacked Bar Chart'        

# Random data 

bar_chart.add('A', numpy.random.rand(10)) 

bar_chart.add('B', numpy.random.rand(10)) 

bar_chart.add('C', numpy.random.rand(10)) 

bar_chart.add('D', numpy.random.rand(10)) 

bar_chart

Output:

Example 2:

Python3

# importing pygal 

import pygal 

# creating the chart object 

bar_chart = pygal.StackedBar() 

# naming the title 

bar_chart.title = 'Stacked Bar Chart'     

bar_chart.range = [0, 5000] 

# Random data 

bar_chart.add('A', 1000) 

bar_chart.add('B', 2000) 

bar_chart.add('C', 3500) 

bar_chart

Output:

Example 3: Using Iris dataset

Python3

# importing pygal 

import pygal 

import pandas 

# creating the chart object 

bar_chart = pygal.StackedBar() 

# naming the title 

bar_chart.title = 'Stacked Bar chart'

df = pandas.read_csv('Iris.csv') 

bar_chart.add("SepalLengthCm", df['SepalLengthCm']) 

bar_chart.add("PetalLengthCm", df['PetalLengthCm']) 
bar_chart

Output:

Article Tags :

Python

Data Visualization

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