piaso-tools 1.2.3

PIASO v1.2.3

on Python PyPI

pip install -U piaso-tools

Fixed

• piaso.tl.predictCellTypeByGDR discarded its own result. The function
  copies the query internally to avoid mutating .X, and the copy rebound the
  local name, so the prediction was written to the copy. It printed "All
  finished. The predicted cell types are saved as CellTypes_gdr in
  adata.obs" and the caller's AnnData came back without that column. The
  cytome path was unaffected — it writes through a separate handle, which is
  why this survived. If you called it on an AnnData and found no prediction,
  this was why.

• plot_embeddings_split(vmin_pct=…, vmax_pct=…) was accepted and ignored.
  The parameters arrived through **kwargs and were dropped, so a request for
  10/90 silently produced the full range. Nothing raised and the figure still
  rendered — only the contrast was wrong. Now implemented to match
  plotEmbedding, with explicit vmin/vmax still taking precedence.

Added

• piaso.pp.alignSpatialCoordinates. Sections are placed on their chips
  independently, so a split plot renders each panel at its own offset; this
  centres each sample on its own centroid, and with_std=True also equalises
  apparent section size. Works on AnnData, an open cytome, or a path, and
  takes groupby= or batch_key= for the same column.

  This was described in the v1.2.2 notes but did not make the 1.2.2 wheel.
  It ships here.

• palette= accepts a colormap name for a categorical column, sampled
  across the categories in their resolved order. On ordered categories —
  ages, timepoints, stages — that turns the legend into a ramp instead of a
  set of unrelated hues.