Is there any way to add a Matplotlib visualizaton to a notebook Dashboard?

[jirukulapati]

So I love that  databricks lets you display a dataframe, create a visualization of it, then add that visualization to notebook dashboard to present.  However, the visualizations lack some customization that I would like.  For example the heat map visualization from the notebook dashboard doesn't let you modify the min max values for the color bar.

I have a matplotlib heatmap that is much more customized.  Is there anyway to add this matplotlib visualization to a notebook dashboard? 

[Walter_C]

What you can do is run the visualization in the notebook, save it as image and display it in the dashboard, for example:

import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np

# Sample data
data = np.random.rand(10, 12)
heatmap = sns.heatmap(data, cmap='viridis')

plt.show()

heatmap.figure.savefig('/dbfs/tmp/heatmap.png')

displayHTML('<img src="/files/tmp/heatmap.png" alt="heatmap">')

[jirukulapati]

I see what you're saying but what if I  want a set up where a user can enter parameters into widgets and the corresponding heat map updates?  With the method you suggested, it will just be a static heat map until I rerun the notebook,correct?

[Walter_C]

This is correct, it seems the way you want to implement is not currently supported