Altair -
If your data relies on a pandas index, use .reset_index() before passing it to Altair.
You can refine your plot by adding titles, changing colors, and adjusting axes using .properties() and alt.Axis() . altair
Learn how to (e.g., lines and points)?
You can save your chart as a JSON file (Vega-Lite spec) or render it as an image/HTML file. chart.save('chart.html') Use code with caution. Copied to clipboard If your data relies on a pandas index, use
# 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() . You can save your chart as a JSON
Create a specific (e.g., click a bar to filter data)?