# Plotting Scatter Plots With Altair in Python

Filed Under: Python Modules

scatter plot (scatter graph, scatter chart, scattergram, or scatter diagram) is a type of plot which makes use of the Cartesian coordinates to display values typically `two variables` for a dataset. In this tutorial, we will understand how to plot scatter plots using the Altair library in Python.

Also read: Python Altair tutorial: Creating Interactive Visualizations

## Code Implementation of Altair Scatter Plots

`Altair` is a statistical visualization library in Python. It is declarative in nature and is based on `Vega and Vega-Lite` visualizations. We’ll use this library to plot our scatter plots now.

### Importing the Modules

We will start off by loading the `Pandas` and `NumPy` libraries. We will also import `Altair` and `vega_datasets` to get the dataset in the later sections.

```import pandas as pd
import numpy as np
import altair as alt
import matplotlib.pyplot as plt
from vega_datasets import data
```

In this tutorial, we will be making use of the vega_datasets which is a Python library that gives access to over `60 datasets` of varying sizes. We will be using the `weather data set` from Seattle using the code below.

```seattle_weather_data = data.seattle_weather()
```

### Create a simple Scatter Plot

In this tutorial, we want to build a scatter chart using the `mark_point` function. With the help of `encode` function, we can decide the variable we want to consider.

```alt.Chart(seattle_weather_data).mark_bar().encode(
alt.X("wind:Q",
bin=alt.BinParams()),
y='count(*):Q'
)
```

### Adding colors on the basis of a column

The next step in the visualization is adding colors to the plot on the basis of a certain column using the codes below. We will be plotting on the basis of two columns, `weather` and `precipitation`.

```alt.Chart(seattle_weather_data).mark_bar().encode(
alt.X("wind:Q",
bin=alt.BinParams()),
y='count(*):Q',
color='weather'
)
```
```alt.Chart(seattle_weather_data).mark_bar().encode(
alt.X("wind:Q",
bin=alt.BinParams()),
y='count(*):Q',
color='precipitation'
)
```

## Conclusion

I hope you are now clear with what Altair is and how to plot scatter plots using the same in the Python programming language. There are many more features of the library in terms of interactivity components.