• Many new stats, plotting, and helper functions. See PRs #24 and #73.


  • Two new functions to customize tick labels on any existing plot:

    • wrap_tick_labels: add text wrapping

    • add_sample_size_to_labels: add group sample sizes with a (n=N) suffix

  • Make writing PDF figures a deterministic process and make the PDF text editable.

  • Scatterplot improvements:

    • Adjust default marker shape and size to work better for most plots.

    • Adjust HueValueStyle so that an explicit marker size is not specified there, only a marker size scaling factor. The scatterplot itself is responsible for defining the base marker size, while the palette of HueValueStyles should be drawable at any marker size.

    • Change legends so that only one marker is drawn to indicate a group’s style.

0.5.0 (2022-01-10)#

  • Improve scatter plots and stacked bar plots.

  • Introduce HueValueStyle for granular styling of each hue.

0.4.0 (2020-07-22)#

  • Centered log ratio (CLR) normalization for Cite-seq protein data.

0.3.0 (2020-06-03)#

  • Pandas helpers for easier normalization

0.2.0 (2020-06-03)#

  • Far faster implementation of stats.coclustering

  • Introducing helpers.make_slurm_command

  • Global submodule import (no longer need to import submodules individually)

0.1.0 (2020-03-06)#

  • First release on PyPI.