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:
