adapt changelog for v1.5.0

Author: schroedtert

docs/source/changelog.rst

@@ -2,27 +2,39 @@
 Changelog
 *********
 
-Version 1.5.0 (YYYY-MM-DD)
+Version 1.5.0 (2026-06-02)
 ==========================
 
+**New features:**
+
+- Add new preprocessing methods for cleaning trajectory data before analysis:
+    * Project trajectories into walkable area
+    * Added functions for outlier and anomaly detection
+- Add method to compute RSET maps
+
 **What's changed:**
 
+- Add support for Python 3.14
 - Improved Voronoi polygon computation with ~45% runtime improvement:
-    * Replaced manual scipy-based reconstruction with :code:`shapely.voronoi_polygons`
-    * Vectorized intersection and cutoff operations using shapely array operations
+    * Behavioral change: :func:`~compute_individual_voronoi_polygons` now computes Voronoi cells for frames with fewer than 4 pedestrians.
+    Previously, with :code:`use_blind_points=False`, such frames were skipped. The :code:`use_blind_points` parameter is now deprecated and has no effect.
+    If you need to replicate the old behavior, filter the results manually:
 
-**Migration guide:**
+    .. code-block:: python
 
-- **Behavioral change**: :func:`~compute_individual_voronoi_polygons` now computes Voronoi cells for frames with fewer than 4 pedestrians.
-Previously, with :code:`use_blind_points=False`, such frames were skipped. The :code:`use_blind_points` parameter is now deprecated and has no effect.
-If you need to replicate the old behavior, filter the results manually:
+       # Filter out frames with < 4 pedestrians (old behavior)
+       result = compute_individual_voronoi_polygons(traj_data, walkable_area)
+       peds_per_frame = traj_data.data.groupby('frame').size()
+       result = result[result['frame'].isin(peds_per_frame[peds_per_frame >= 4].index)]
 
-  .. code-block:: python
+- Improve profile computation memory efficiency
+- Unification of plot function options: All plotting functions now accept a unified set of keyword arguments, improving consistency and ease of use across different plot types.
+
+**Fixes:**
 
-     # Filter out frames with < 4 pedestrians (old behavior)
-     result = compute_individual_voronoi_polygons(traj_data, walkable_area)
-     peds_per_frame = traj_data.data.groupby('frame').size()
-     result = result[result['frame'].isin(peds_per_frame[peds_per_frame >= 4].index)]
+- Correctly plot Voronoi cells
+- Return Pandas DataFrame in all analysis functions as specified in the documentation
+- Minor plotting issues
 
 Version 1.4.0 (2025-09-08)
 ==========================