holoviz/datashader 0.6.5

on GitHub

Major release with extensive support for triangular meshes and changes to the raster API.

New features:

• Trimesh support: Rendering of irregular triangular meshes using Canvas.trimesh() (see user guide) (#525,#552)
• Added a new website at datashader.org, with new Getting Started pages and an extensive User Guide, with about 50% new material not previously in example notebooks. Built entirely from Jupyter notebooks, which can be run in the examples/ directory. Website is now complete except for sections on points (see the nyc_taxi example in the meantime).
• Canvas.raster() now accepts xarray Dataset types, not just DataArrays, with the specific DataArray selectable from the Dataset using the column= argument of a supplied aggregation function.
• tf.Images() now displays anything with an HTML representation, to allow laying out Pandas dataframes alongside datashader output.

Bugfixes and compatibility:

• Changed Raster API to match other glyph types:
  • Now accepts a reduction function via an agg= argument like Canvas.line(), Canvas.points(), etc. The previous downsample_method is still accepted for this release, but is now deprecated.
  • upsample_method is now interpolate, accepting linear=True or linear=False; the previous spelling is now deprecated.
  • The layer= argument previously accepted a 1-based integer index, which was confusing given the standard Python 0-based indexing elsewhere. Changed to accept an xarray coordinate, which can be a 1-based index if that's what is defined on the array, but also works with arbitrary floating-point coordinates (e.g. for a depth parameter in an image stack).
  • Now auto-ranges in x and y when not given explicit ranges, instead of raising an error.
• Fixed various bugs, including one generating incorrect output in Canvas.raster(agg='mode')