Stacked Barplot using Matplotlib


As the groups and subgroups can be displayed in a grouped bar plot with a side by side bars, they can also be displayed in stacked bars. This post provides a reproducible code to plot a stacked barplot using matplotlib.

In a stacked barplot, subgroups are displayed on top of each other. The code is very similar with the previous post #11-grouped barplot. Instead of passing different x axis positions to the function, you will pass the same positions for each variable. Additionally, in order to draw bars on top of each other, you should use bottom parameter of the bar() function. This parameter will set the bottom value (bottom line) of the bar.

In the following post #13, you can see how to turn this graph into a stacked percent barplot easily.

# libraries
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import rc
import pandas as pd
 
# y-axis in bold
rc('font', weight='bold')
 
# Values of each group
bars1 = [12, 28, 1, 8, 22]
bars2 = [28, 7, 16, 4, 10]
bars3 = [25, 3, 23, 25, 17]
 
# Heights of bars1 + bars2
bars = np.add(bars1, bars2).tolist()
 
# The position of the bars on the x-axis
r = [0,1,2,3,4]
 
# Names of group and bar width
names = ['A','B','C','D','E']
barWidth = 1
 
# Create brown bars
plt.bar(r, bars1, color='#7f6d5f', edgecolor='white', width=barWidth)
# Create green bars (middle), on top of the first ones
plt.bar(r, bars2, bottom=bars1, color='#557f2d', edgecolor='white', width=barWidth)
# Create green bars (top)
plt.bar(r, bars3, bottom=bars, color='#2d7f5e', edgecolor='white', width=barWidth)
 
# Custom X axis
plt.xticks(r, names, fontweight='bold')
plt.xlabel("group")
 
# Show graphic
plt.show()

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👋 This document is a work by Yan Holtz. Any feedback is highly encouraged. You can fill an issue on Github, drop me a message onTwitter, or send an email pasting yan.holtz.data with gmail.com.

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