How can I create a scatter plot using Seaborn?

How can I create a scatter plot using Seaborn?

To create a scatter plot in Seaborn, you can use the scatterplot() function. Here's a simple example:

import seaborn as sns
import matplotlib.pyplot as plt

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

# Create scatter plot
sns.scatterplot(data=iris, x='sepal_length', y='sepal_width', hue='species')
plt.show()

What if I want to customize the colors and markers?

You can customize colors and markers by using the palette and style parameters. For example:

sns.scatterplot(data=iris, x='sepal_length', y='sepal_width', hue='species', palette='deep', style='species')

Can I add a regression line to the scatter plot?

Yes! You can use the regplot() function for that. Here's how:

sns.regplot(data=iris, x='sepal_length', y='sepal_width', scatter_kws={'alpha':0.5})

How do I save the plot as an image?

You can save the plot using plt.savefig('filename.png') before calling plt.show(). For example:

plt.savefig('scatter_plot.png')
plt.show()