Area Chart with Altair in Python

Area Chart with Altair in Python

Creating an area chart using Altair in Python is a straightforward process. Altair is a declarative statistical visualization library for Python, and it's well-suited for creating a wide range of visualizations, including area charts.

First, ensure you have Altair installed. If it's not installed, you can install it via pip:

pip install altair vega_datasets

Here's an example of how to create a basic area chart using Altair:

import altair as alt from vega_datasets import data # Sample data source = data.stocks() # Area chart chart = alt.Chart(source).mark_area().encode( x='date:T', y='price:Q' ).transform_filter( alt.datum.symbol == 'GOOG' ) chart.show()

In this example:

  • We import Altair and use a sample dataset stocks from vega_datasets.
  • We create an area chart using mark_area().
  • The encode method is used to define the x and y axes. Here, 'date:T' and 'price:Q' indicate that date is a temporal field and price is a quantitative field.
  • The transform_filter method filters the data to include only rows where the symbol is 'GOOG' (Google's stock).

You can adapt this code to your specific dataset by modifying the source variable and the encoding channels (x and y in encode method).

To plot an area chart for your own data, you'll need to replace data.stocks() with your DataFrame and adjust the x and y channels in the encode function to match the columns of your data.

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