Release Notes

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

Unreleased

1.0.8 - 2026-06-22

Changed

• compute_consensus redesigned — spacetime member-support consensus on the native grid; requires min_consensus, temporal_tolerance, and spatial_tolerance. Replaces the old edge-vote method; results will differ. See tutorials/consensus.ipynb.

• Consensus companion field and plot API renamed: *_consistency → *_rate, consensus_consistency_map() → consensus_rate_map(), summary column mean_consistency → mean_consensus_rate.

• HealPix regridding now uses astropy-healpix instead of the healpix package.

• Clustering and transition times work with time-last dimension order (e.g. y, x, time).

Added

• SpaceTimeDBSCAN — built-in clusterer with separate spatial and temporal neighbourhood sizes (spatial_eps, temporal_eps).

• Consensus rate field ({consensus_var}_rate), stitch_meridian, cluster_occurrence_rate(), expanded summary/plots, and consensus tutorial + docs.

• TOAD(..., auto_clean=True) — optional CMIP-style cleanup on load (off by default).

• cluster_summary() on TOAD and Stats — per-cluster overview table (time span, size, footprint, centre; optional IQR, shift amplitudes, pooled transition times, and clustering metadata). Analogous to consensus_summary for standard cluster variables.

• TimeStats timing summaries — median_activity_time, pooled_median_transition_time, pooled_std_transition_time, and summary() DataFrame contrasting cluster temporal footprint vs per-cell peak-shift times (same field as compute_transition_time / time_of_max_shift_map).

Removed

• Old edge-vote consensus and regridder= on compute_consensus (HealPix remains for compute_clusters).

Fixed

• Dimension-order bugs in clustering and transition times; HealPix regridder out-of-bounds error.

• Explicit astropy dependency for HealPix lon/lat unit conversion (CI deptry).

• HDBSCAN allow_single_cluster=True by default when sklearn supports it.

1.0.7 - 2026-03-26

Fixed

• Timeseries subplots no longer force y-axis lower limit to zero (removed spurious axhline(0) call in subplot cleanup)

1.0.6 - 2026-03-11

Added

• Stats can now be accessed as a property (e.g. td.stats.time.start(cluster_id=0)) when using a single cluster variable

• Function for removing specific clusters by id (useful for filtering clusters of no interest)

• Function for sorting clusters (e.g. by magnitude, median shift time, or to reset indexing after removal)

• New time stats: value_at_start, value_at_end, value_change, value_at_iqr_90_start/value_at_iqr_90_end, value_change_iqr_90

• get_cluster_times() — returns flattened array of time values for every cell in a cluster

• Variable inference for get_base_var(), get_shifts(), and get_timeseries().

• trajectory_ids parameter in td.plot.timeseries() shows exact cell indices (instead of random sample)

• plot_shift_indicator in timeseries plots to mark detection timestep per cell on each trajectory

• DEFAULT_SHIFT_THRESHOLD constant in toad.utils for the default clustering threshold

Changed

• get_cluster_timeseries() deprecated in favour of get_timeseries(); deprecated alias logs a warning

• Timeseries plot: plot_shift_indicator now marks detection timesteps; duration shading renamed to plot_cluster_duration

• Replaced internal assert checks with proper error messages (validation now works when Python is run with optimisations)

Deprecated

• get_cluster_timeseries() — use get_timeseries() instead

Removed

• Synthetic shifts generator (development tool)

• Redundant core methods: get_active_clusters_count_per_timestep, apply_cluster_mask, apply_cluster_mask_spatial, apply_cluster_mask_temporal, get_cluster_density_temporal, get_cluster_density_spatial, get_cluster_mask_temporal, get_cluster_data — use stats API instead

Fixed

• More robust variable selection in consensus clustering (cluster variable is now specified directly instead of inferred from shifts)

• compute_transition_time now restricted to cluster period (previously used largest shift in each grid cell regardless of period)

• Z-order of contours in cluster maps (clusters now correctly layered)

• Enhanced error handling in asdetect for short time series (validates lmin < lmax with guiding error message for common defaults)

• Steepest gradient: fix handling of NaN values and time indexing

• Timeseries plot: keep_full_timeseries now correctly applied throughout; cluster duration shading hidden when showing only the cluster period

1.0.5 - 2026-02-12

Added

• Allow custom cluster methods to turn off temporal scaling by adding skip_time_scaling = True as a class variable to the method.

• Allow disabling the gradient legend in cluster maps (set other_legend=False in MapStyle)

• Added progress bar for cluster consensus computation (show_progress parameter)

• Added comprehensive tests for plotting and postprocessing functions

Changed

• Cluster output now distinguishes between grid cells classified as noise by the clustering algorithm (-1) and grid cells with no detected abrupt shifts (NaN). Previously both were labeled -1.

• Enhanced variable inference in TOAD methods

• Relaxed dependency version pins for numpy, scipy, and scikit-learn (removed upper bounds)

Fixed

• Fixed base variable inference in get_cluster_timeseries for scoring functions

• Fixed dependency configuration: added tqdm as direct dependency, corrected deptry module name mappings and ignore lists

1.0.4 - 2026-01-27

Changed

• Updated README.md installation instructions to include pip installation command.

1.0.3 - 2026-01-27

Fixed

• Fixed image paths in README.md to use absolute URLs for proper display on PyPI

1.0.2 - 2026-01-27

Changed

• Updated PyPI publishing workflow to use Trusted Publishers (OIDC) instead of API tokens for improved security

1.0.1 - 2026-01-27

Changed

• Updated README.md with improved installation and usage instructions

• Enhanced documentation structure and content

• Reorganized and updated existing tutorials

Added

• Added CITATION.cff for citation support

• Added CONTRIBUTING.md with contribution guidelines

• Added GitHub Actions workflow for publishing to PyPI — first PyPI release!

• Added Github Actions workflow for automatically creating draft release when tag with v* is pushed to main.

1.0.0 - 2026-01-22

Added

• First public release of the TOAD package