Releases · holoviz/datashader

A major release with significant new functionality and some small backwards-incompatible changes.

New features:

PR #124, census: New census notebook example, showing how to work with categorical data.
PR #79, tseries, trajectory: Added line glyph and .any() reduction, used in new time series and trajectory notebook examples.
PR #76, #77, #131, etc.: Updated all of the other notebooks in examples/, including nyc_taxi.
PR #100, #125: Improved dashboard example: added categorical data support, census and osm datasets, legend and hover support, better performance, out of core option, and more
PR #109, #111: Add full colormap support via a new cmap argument to interpolate and colorize; supports color ranges as lists, plus Bokeh palettes and matplotlib colormaps
PR #98: Added set_background to make it easier to work with images having a different background color than the default white notebooks
PR #119, #121: Added eq_hist option for how in interpolate, performing histogram equalization on the data to reveal structure at every intensity level
PR #80, #83, #128: Greatly improved InteractiveImage performance and responsiveness
PR #74, #123: Added operators for spreading pixels (to make individual datapoints visible, as circles, squares, or arbitrary mask shapes) and compositing (for simple and flexible composition of images)

Backwards compatibility:

The low and high color options to interpolate and colorize are now deprecated and will be removed in the next release; use cmap=[low,high] instead.
The transfer function merge has been removed to avoid confusion. stack and others can be used instead, depending on the use case.
The default how for interpolate and colorize is now eq_hist, to reveal the structure automatically regardless of distribution.
Pipeline now has a default dynspread step, to make isolated points visible when zooming in, and the default sizes have changed.

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