How can I visualize a Pandas DataFrame using Seaborn?

How can I visualize a Pandas DataFrame using Seaborn?

You can use Seaborn to create various visualizations from a Pandas DataFrame. For example, you can use sns.scatterplot() for scatter plots or sns.barplot() for bar charts. Do you have a specific type of visualization in mind?

I want to create a scatter plot to show the relationship between two variables.

Great! You can use the sns.scatterplot() function. Here's a basic example:

import seaborn as sns
import pandas as pd

# Sample DataFrame
data = {'x': [1, 2, 3, 4, 5], 'y': [5, 4, 3, 2, 1]}
df = pd.DataFrame(data)

# Create scatter plot
sns.scatterplot(data=df, x='x', y='y')

This will plot 'x' on the horizontal axis and 'y' on the vertical axis. Would you like to customize it further?

Yes, I want to add titles and change the color of the points.

You can customize the plot by adding titles and changing colors like this:

sns.scatterplot(data=df, x='x', y='y', color='red')
plt.title('Scatter Plot of X vs Y')
plt.xlabel('X Axis')
plt.ylabel('Y Axis')
plt.show()

This will set the color of the points to red and add titles to the axes. Let me know if you need more help!