08 Custom Interactivity ¶
In a few places earlier in the tutorials, you may have noticed examples of the
container, which can be used like a HoloMap but dynamically rendering each plot when requested instead of precomputing them statically. In those examples, the arguments to the callable returning elements were supplied by HoloViews sliders. In this section, we will generalize the ways in which you can generate values to update a
, to support an extensive range of custom interactivity to help you explore and reveal your data.
import numpy as np import pandas as pd import holoviews as hv from holoviews import opts, dim hv.extension('bokeh', 'matplotlib')