How to do a scatter plot with Pandas using Python

1 min

Scatter plots are extremely useful when you want to compare multiple features.

Especially when you want to check whether there is some kind of correlation between those variables.

Here is a super simple example of a scatter plot, using the Pandas library.

import pandas as pd

# We read a sample dataset from the web.
df = pd.read_csv(''\

df.plot(kind="scatter", x="sepal_width", y="sepal_length")
An example of a scatter plot using the Pandas library

As we can see we are using the DataFrame.plot() method and passing a kind="scatter" argument.

In this example, we are plotting the sepal_width versus the sepal_length column.

Here is the result.

Here is how to do a scatter plot with Pandas

Here you are! You now know how to do a scatter plot with Pandas using Python.

More on plots

If you want to know more about how to add labels, plot different types of plots, etc... check out the other articles I wrote on the topic, just here :

Matplotlib - The Python You Need
We gathered the only Python essentials that you will probably ever need.