Altair -

If your data relies on a pandas index, use .reset_index() before passing it to Altair.

Install Altair using pip . It is highly recommended to work within a Jupyter notebook environment (JupyterLab, VS Code, Colab) for automatic rendering. altair

# 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() . If your data relies on a pandas index, use

Map data columns to visual properties (e.g., .encode(x='column1', y='column2') ). Example: Simple Bar Chart # Create and activate a virtual environment python

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