Altair [ESSENTIAL]

One of Altair's strongest features is the ability to create interactivity (like panning, zooming, and tooltips) by linking chart components.

Altair allows you to transform data directly within the chart definition, such as calculating averages or sums, using mean , sum , count , etc..

Use chart.validate() to check for invalid specifications. altair

This guide focuses on the for data visualization. 1. Installation & Setup

# Create a bar chart with the average of column 'b' alt.Chart(data).mark_bar().encode( x='a', y='mean(b)' # Aggregation ) Use code with caution. Copied to clipboard 4. Customizing Your Visualization One of Altair's strongest features is the ability

Map data columns to visual properties (e.g., .encode(x='column1', y='column2') ). Example: Simple Bar Chart

Learn how to (e.g., lines and points)?

import altair as alt import pandas as pd # 1. Data data = pd.DataFrame({'a': ['A', 'B', 'C'], 'b': [28, 55, 43]}) # 2. & 3. Chart + Mark + Encoding chart = alt.Chart(data).mark_bar().encode( x='a', y='b' ) # Display (if in notebook) # chart.show() Use code with caution. Copied to clipboard 3. Data Transformation & Aggregation