What are some examples of using Seaborn in Google Colab?

What are some examples of using Seaborn in Google Colab?

Seaborn is a powerful visualization library in Python. In Google Colab, you can easily create plots. Would you like to see a specific type of plot?

Yes, can you show me an example of a scatter plot?

Sure! Here's a simple example:

import seaborn as sns
import matplotlib.pyplot as plt

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

# Create a scatter plot
sns.scatterplot(data=iris, x='sepal_length', y='sepal_width', hue='species')
plt.title('Iris Sepal Length vs Width')
plt.show()

This code will create a scatter plot of sepal length versus width for different iris species.

That looks great! Can you show me a heatmap example?

Absolutely! Here's how you can create a heatmap:

# Load a correlation matrix
correlation = iris.corr()

# Create a heatmap
sns.heatmap(correlation, annot=True, cmap='coolwarm')
plt.title('Iris Feature Correlation Heatmap')
plt.show()

This will display a heatmap showing the correlation between different features of the iris dataset.