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 |
Python3
# import necessary librariesimport pandas as pd#import seaborn as snsimport matplotlib.pyplot as plt# create DataFramedf = 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 temperaturesdf.plot(kind='bar', stacked=True, color=['red', 'skyblue', 'green'])# labels for x & y axisplt.xlabel('Months')plt.ylabel('Temp ranges in Degree Celsius')# title of plotplt.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 |
Python3
# import necessary librariesimport pandas as pd#import seaborn as snsimport matplotlib.pyplot as plt# create DataFramestudents = pd.DataFrame({'Boys': [67, 78], 'Girls': [72, 80], }, index=['First Year', 'Second Year'])# create stacked bar chart for students DataFramestudents.plot(kind='bar', stacked=True, color=['red', 'pink'])# Add Title and Labelsplt.title('Intermediate Students Pass %')plt.xlabel('Year')plt.ylabel('Percentage Ranges') |
Output:
