How do I create a boxplot using Seaborn in Jupyter Notebook?

How do I create a boxplot using Seaborn in Jupyter Notebook?

To create a boxplot using Seaborn in Jupyter Notebook, you first need to import the necessary libraries. You can use the following code:

import seaborn as sns
import matplotlib.pyplot as plt

Then, load your dataset and use the sns.boxplot() function to create the plot.

What dataset should I use for the boxplot?

You can use any dataset that contains numerical data. A common example is the Iris dataset, which you can load using:

iris = sns.load_dataset('iris')

Can you show me the complete code to create a boxplot?

Sure! Here’s a complete example:

import seaborn as sns
import matplotlib.pyplot as plt

# Load the dataset
iris = sns.load_dataset('iris')

# Create the boxplot
sns.boxplot(x='species', y='sepal_length', data=iris)

# Show the plot
plt.show()

What if I want to customize the boxplot?

You can customize the boxplot by adding parameters like palette, hue, and width. For example:

sns.boxplot(x='species', y='sepal_length', data=iris, palette='Set2', width=0.5)