How to Create a Stacked Bar Plot

Last Updated : 05 Jul, 2024

In this article, we will discuss how to create a stacked bar plot in Seaborn in Python.

A stacked Bar plot is a kind of bar graph in which each bar is visually divided into sub bars to represent multiple column data at once. To plot the Stacked Bar plot we need to specify stacked=True in the plot method. We can also pass the list of colors as we needed to color each sub bar in a bar.

Syntax:

DataFrameName.plot( kind='bar', stacked=True, color=[.....])

Example: Stacked bar plot

The dataset in use:

	High Temp	Low Temp	Avg Temp
Jan	28	22	25
Feb	30	26	28
Mar	34	30	32
Apr	38	32	35
May	45	41	43
Jun	42	38	40
Jul	38	32	35
Aug	35	31	33
Sep	32	28	30
Oct	28	22	25
Nov	25	15	20
Dec	21	15	18

Python

# import necessary libraries
import pandas as pd
#import seaborn as sns
import matplotlib.pyplot as plt

# create DataFrame
df = pd.DataFrame({'High Temp': [28, 30, 34, 38, 45, 42,
                                 38, 35, 32, 28, 25, 21],
                   'Low Temp': [22, 26, 30, 32, 41, 38,
                                32, 31, 28, 22, 15, 15],
                   'Avg Temp': [25, 28, 32, 35, 43, 40, 
                                35, 33, 30, 25, 20, 18]},
                  index=['Jan', 'Feb', 'Mar', 'Apr', 'May',
                         'Jun', 'Jul', 'Aug', 'Sep', 'Oct',
                         'Nov', 'Dec'])


# create stacked bar chart for monthly temperatures
df.plot(kind='bar', stacked=True, color=['red', 'skyblue', 'green'])

# labels for x & y axis
plt.xlabel('Months')
plt.ylabel('Temp ranges in Degree Celsius')

# title of plot
plt.title('Monthly Temperatures in a year')

Output:

Example: Stacked bar plot

The dataset in use as follows:

	Boys	Girls
First Year	67	72
Second Year	78	80

Python

# import necessary libraries
import pandas as pd
#import seaborn as sns
import matplotlib.pyplot as plt

# create DataFrame
students = pd.DataFrame({'Boys': [67, 78],
                         'Girls': [72, 80], },
                        index=['First Year', 'Second Year'])


# create stacked bar chart for students DataFrame
students.plot(kind='bar', stacked=True, color=['red', 'pink'])

# Add Title and Labels
plt.title('Intermediate Students Pass %')
plt.xlabel('Year')
plt.ylabel('Percentage Ranges')