Matplotlib Create Stacked Histogram: A Beginner Guide – Matplotlib Tutorial

Stacked histogram is widely used in papers. In this tutorial, we will introduce how to create a stacked histogram using matplotlib in python.

Stacked histogram likes:

To create a stacked histogram above, you can refer to this example:

Create X, Y1 and Y2

import numpy as np
import matplotlib.pyplot as plt
plt.style.use('seaborn')

X = np.arange(5) + 1
Y1 = np.array([0.5, 0.27, 0.51, 0.56, 0.8])
Y2 = np.random.random(5)
print(Y2)

Here we use numpy to create 5 randomized float numbers.

[0.17119526 0.20921575 0.8304114  0.53602932 0.8907226 ]

Show stacked histogram

We can use code below to display a stacked histogram.

ax = plt.subplot()
ax.bar(X, Y1, tick_label=['I', 'II', 'III', 'IV', 'V'], label='Y1')
ax.bar(X, Y2, bottom=Y1, label='Y2')

plt.legend()
plt.show()

We should notice code: bottom=Y1, which means Y1 is at the bottom of Y2. We also can make Y1 be at the top of Y2.

ax.bar(X, Y1, bottom=Y2, tick_label=['I', 'II', 'III', 'IV', 'V'], label='Y1')
ax.bar(X, Y2, label='Y2')

plt.legend()
plt.show()

Run this code, you will get a stacked histogram below.