Grouped Barplot


A grouped barplot is used when you have several groups, and subgroups of these groups. The example in this post shows how to build a grouped barplor using the bar() function of matplotlib library.

You can plot a grouped barplot using the bar() function of matplotlib. The following example displays 5 different groups with their 3 variables. In order to do that, the values and positions of variables are passed to 3 bar() functions.

Note that if you want to turn the graph into a stacked area barplot, you can check the following post.

# libraries
import numpy as np
import matplotlib.pyplot as plt
 
# set width of bars
barWidth = 0.25
 
# set heights of bars
bars1 = [12, 30, 1, 8, 22]
bars2 = [28, 6, 16, 5, 10]
bars3 = [29, 3, 24, 25, 17]
 
# Set position of bar on X axis
r1 = np.arange(len(bars1))
r2 = [x + barWidth for x in r1]
r3 = [x + barWidth for x in r2]
 
# Make the plot
plt.bar(r1, bars1, color='#7f6d5f', width=barWidth, edgecolor='white', label='var1')
plt.bar(r2, bars2, color='#557f2d', width=barWidth, edgecolor='white', label='var2')
plt.bar(r3, bars3, color='#2d7f5e', width=barWidth, edgecolor='white', label='var3')
 
# Add xticks on the middle of the group bars
plt.xlabel('group', fontweight='bold')
plt.xticks([r + barWidth for r in range(len(bars1))], ['A', 'B', 'C', 'D', 'E'])
 
# Create legend & Show graphic
plt.legend()
plt.show()

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