Map data columns to visual properties (e.g., .encode(x='column1', y='column2') ). Example: Simple Bar Chart
Altair works best with tidy data—long-form data where each row is an observation and each column is a variable. altair
Learn how to (e.g., lines and points)?
alt.Chart(data).mark_bar().encode( x=alt.X('a', title='Category'), y=alt.Y('b', title='Value'), color='a' # Color by category ).properties( title='My First Altair Chart', width=400, height=300 ) Use code with caution. Copied to clipboard 5. Interaction Map data columns to visual properties (e
# Create and activate a virtual environment python -m venv altair-venv source altair-venv/bin/activate # On Windows: altair-venv\Scripts\activate # Install Altair and dependencies python -m pip install altair pandas notebook Use code with caution. Copied to clipboard 2. Core Concepts: The Chart Object Every Altair chart follows three basic steps: Pass a pandas DataFrame to alt.Chart() . Copied to clipboard 2
If your data relies on a pandas index, use .reset_index() before passing it to Altair.