How can I create interactive heatmaps using Seaborn?

How can I create interactive heatmaps using Seaborn?

You can create interactive heatmaps in Seaborn by using the sns.heatmap() function along with Plotly or Bokeh for interactivity.

Can you show me a simple example of how to do that?

Sure! First, install Plotly with pip install plotly. Then, you can use the following code:

import seaborn as sns
import plotly.express as px
import pandas as pd

# Sample data
data = pd.DataFrame({
    'A': [1, 2, 3],
    'B': [4, 5, 6],
    'C': [7, 8, 9]
})

# Create a heatmap
fig = px.imshow(data)
fig.show()

What if I want to customize the color palette?

You can customize the color palette by using the color_continuous_scale parameter in Plotly. For example:

fig = px.imshow(data, color_continuous_scale='Viridis')

Is it possible to add annotations to the heatmap?

Yes, you can add annotations by using the text parameter in px.imshow(). For example:

fig = px.imshow(data, text=data.values)