Exporting and Archiving

Most of the other user guides show you how to use HoloViews for interactive, exploratory visualization of your data, while the Applying Customizations user guide shows how to use HoloViews completely non-interactively, generating and rendering images directly to disk using hv.save. In this notebook, we show how HoloViews works together with the Jupyter Notebook to establish a fully interactive yet also fully reproducible scientific or engineering workflow for generating reports or publications. That is, as you interactively explore your data and build visualizations in the notebook, you can automatically generate and export them as figures that will feed directly into your papers or web pages, along with records of how those figures were generated and even storing the actual data involved so that it can be re-analyzed later.

In [1]:
import holoviews as hv
from holoviews import opts
from holoviews.operation import contours
hv.extension('matplotlib')