Python Altair Scatter Plot (original) (raw)

Last Updated : 31 Jul, 2021

In this article, we will learn a Simple Scatter plot with Altair using python. Altair is one of the latest interactive data visualizations library in python. Altair is based on vega and _vegalite_- A grammar of interactive graphics. Here we will import the Altair library for using it. And then we will load the Seattle weather data from vega_dataset.

Step-by-step Approach:

• Import modules. Python3 `

import required modules

import altair as alt from vega_datasets import data

`

• Assign dataset and convert it into a data frame. Python3 `

assign dataset

seattle_weather = data.seattle_weather()

`

• Display dataset. Python3 `

display dataset

seattle_weather.head(5)

`

Output:

• Now let us make 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. Hence, we get the simple scatter plot of two variable as shown below: Python3 `

depict scatter plot

alt.Chart(seattle_weather).mark_point().encode( x='temp_max', y='temp_min' )

`

Output:

Below is the complete program based on the above approach:

Python3 `

import required modules

import altair as alt from vega_datasets import data

assign dataset

seattle_weather = data.seattle_weather()

display dataset

seattle_weather.head(5)

depict scatter plot

alt.Chart(seattle_weather).mark_point().encode( x='temp_max', y='temp_min' )

`

Output: