Getting-Started

Getting Started with Colight

Colight is a powerful data visualization library that combines the expressiveness of Python with the interactivity of JavaScript. This guide will walk you through creating your first interactive visualizations.

Your First Plot

Let's start with a simple line plot. In Colight, we use the Observable Plot API through Python:

Create a line plot

Plot.line({"x": x, "y": y}, {"stroke": "steelblue", "strokeWidth": 2})

Adding Interactivity

One of Colight's strengths is its ability to create interactive visualizations. Let's add a slider to control the amplitude:

Now we can use this slider value in our plot:

interactive_plot | slider

Composing Multiple Visualizations

Colight makes it easy to compose multiple plots. You can arrange them horizontally with | or vertically with &:

Create two different wave forms

Display them side by side

sine_wave | cosine_wave

Working with Real Data

Let's create a more realistic example using random data to simulate stock prices:

Create a stock price chart with area fill

stock_chart