Treemap


A treemap displays hierarchical data as a set of nested rectangles. Each group is represented by a rectangle, which area is proportional to its value. In Python, the squarify library allows to compute the rectangle positions and plot it.

⏱ Quick start

# libraries
import matplotlib.pyplot as plt
import squarify    # pip install squarify (algorithm for treemap)
import pandas as pd

# Create a data frame with fake data
df = pd.DataFrame({'nb_people':[8,3,4,2], 'group':["group A", "group B", "group C", "group D"] })

# plot it
squarify.plot(sizes=df['nb_people'], label=df['group'], alpha=.8 )
plt.axis('off')
plt.show()

Matplotlib logoTreemap with Matplotlib and Squarify

Matplotlib is probably the most famous and flexible python library for data visualization. It is appropriate to build any kind of chart, including the lollipop plot thanks to its stem() function.

Contact


👋 This document is a work by Yan Holtz. You can contribute on github, send me a feedback on twitter or subscribe to the newsletter to know when new examples are published! 🔥