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Using Python Altair for Data Storytelling

Combining Multiple Charts

Explore how to combine multiple charts in Altair, including layering, horizontal and vertical concatenation, and repeated charts. Understand how these techniques help create compound visualizations that enhance your data storytelling using Python Altair.

We'll cover the following...

Altair enables us to combine multiple charts into a single compound chart. Altair supports the following compound charts: layering, horizontal concatenation, vertical concatenation, and repeated charts.

We’ll use the sales dataset to illustrate how to combine multiple charts in Altair. We’ll produce two charts:

  1. A bar chart showing the total sales for each product category:

Python 3.8
import pandas as pd
import altair as alt
import os 
df = pd.read_csv('data/sales.csv')
chart1 = alt.Chart(df).mark_bar(color='lightgrey').encode(
    x = 'Product Category:N',
    y = 'sum(Sales):Q'
)
chart1.save('chart.html')
os.system('cat chart.html')
...