Python Seaborn - How to Create Swarm Plot in Python

In this post, we take a look at How to Create Swarm Plot in Python using Seaborn. Previously we looked at how to create strip plot in python using seaborn. And I also explained some of the configuration for that chart. So here I want to show you how to create the swarm plot in Python.

Swarm plot is a good plot for visualizing limited set of the data points and one of the variable in a categorical order. It is more or less complementary plot for the violin and the box plot. Which you can easily check and also learn how to make use of as well.

I am using the jupyter notebook to compile these plots and show you the output in the web browser. You can also make use of the other options available be it on cloud or any other desktop options. Which would make you draw the plots and get the output of your choice.

And I have created a video to give you an overview on How to Create Swarm Plot in Python using Seaborn. You should give this below video a look.

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First thing to check is that you have Python installed. And then you can verify the python version using the command below.

python --version

next thing make sure to setup the following libraries.

pip install numpy pandas jupyter seaborn matplotlib

Now we make sure to open the jupyter notebook in the browser and for that command would be something like below.

jupyter notebook

and now we have to take a look at the code.

First thing we would be doing is making sure to import the necessary libraries.

import seaborn as sns
import matplotlib.pyplot as plt

next thing you should do is make sure to import the tips database. This database is good for those who want to make simple chart of the swarm. So we make use of this.

tips = sns.load_dataset("tips")

Next thing we make use of the swarmplot function to draw the swarm plot and then get the output plotted on the screen.

sns.swarmplot(x="day", y="total_bill", data=tips)
plt.show()

Now let's take a look at the entire code.

import seaborn as sns
import matplotlib.pyplot as plt
tips = sns.load_dataset("tips")
sns.swarmplot(x="day", y="total_bill", data=tips)
plt.show()

And now we can make use of the reference image for the code just for those who want to keep it.

Now once you run the above code in the jupyter notebook you would have the output that looks like the below image. It should allow you to make the swarm plot.

That's it. You now have the swarm plot. Now just don't settle for this there are more things you can do with it. You can make sure to change the theme of the plot. And also make sure to change the size variable and that also changes the output. A lot of interesting things you can do from this point onwards. You would love plotting swarm plot from this point onwards if you do it right.

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