Hi @sdaza,

You can use the display command to display objects such as a matplotlib figure or Spark data frames, but not a pandas data frame. Below is code to do this using matplotlib. Within Databricks, you can also import your own visualization library and display images using native library commands (like bokeh or ggplots displays, for example). See an example here: https://docs.databricks.com/user-guide/visualizations/bokeh.html

y_data = np.array([[5, 1], [3, 3], [1, 2], [3, 1], [4, 2], [7, 1], [7, 1]])

import matplotlib.pyplot as plt

x = my_data[:,0] y = my_data[:,1]

ig, ax = plt.subplots() ax.plot(x, y)

isplay(fig)