In this article, we will learn how to Facet a Scatter Plot with Altair. Let’s recall some concepts :
- Altair is a statistical visualization library in Python. It is declarative in nature and is based on Vega and Vega-Lite visualization grammars. It is fast becoming the first choice of people looking for a quick and efficient way to visualize datasets. If you have used imperative visualization libraries like matplotlib, you will be able to rightly appreciate the capabilities of Altair.
- A scatter plot (also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram) is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data.
Here, we are making the scatter plot using Altair library. For this, we use Chart() function in Altair to load the data and then use the mark_point() function to make a scatter plot. We then use the aesthetics x and y-axis to encode() function. After making this scatter plot we will facet it with a grouped column values such as clusters.
- Import Libraries (Altair).
- Create/Load data.
- Use Chart() to load data for plot.
- Use mark_point() to scatter plot.
- Use encode() for x and y axes.
- (Optional)Use properties() for setting width and height.
- Use facet() over scatter plot with clusters.
Let’s understand the above-mentioned steps with the help of some examples :
In this example, we draw a simple facet Scatter plot with some dummy data. That is shown below:
Below is the implementation:
Example 2 : (Iris Data From Vega Dataset)
Example 3 : (Cars Data From Vega Dataset)
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