Bump pandas-stubs from 2.2.3.241126 to 2.3.2.250926

OTAnalytics/plugin_datastore/track_store.py

@@ -109,10 +109,12 @@ def input_file(self) -> str:
     def __eq__(self, other: Any) -> bool:
         if not isinstance(other, PandasDetection):
             return False
+        # Ensure a builtins.bool is returned (pandas .all() may return numpy.bool_)
+        data_equal: bool = bool((self._data == other._data).all())
         return (
-            self._track_id == other._track_id
-            and self._occurrence == other._occurrence
-            and (self._data == other._data).all()
+            (self._track_id == other._track_id)
+            and (self._occurrence == other._occurrence)
+            and data_equal
         )
 
     def __hash__(self) -> int:

OTAnalytics/plugin_ui/visualization/counts/counts_plotter.py

@@ -363,9 +363,10 @@ def _prepare_dataframe(self, count: Count) -> DataFrame:
         dataframe = dataframe.sort_values(LEVEL_START_TIME)
 
         # Build full combination index (flow x start time x classification)
-        all_flows = dataframe[LEVEL_FLOW].unique()
-        all_times = dataframe[LEVEL_START_TIME].unique()
-        all_classes = dataframe[LEVEL_CLASSIFICATION].unique()
+        # Convert numpy arrays from .unique() to plain Python lists for type checking
+        all_flows = dataframe[LEVEL_FLOW].unique().tolist()
+        all_times = dataframe[LEVEL_START_TIME].unique().tolist()
+        all_classes = dataframe[LEVEL_CLASSIFICATION].unique().tolist()
         multi_index = [LEVEL_FLOW, LEVEL_START_TIME, LEVEL_CLASSIFICATION]
         full_index = MultiIndex.from_product(
             [all_flows, all_times, all_classes],

pyproject.toml

@@ -54,7 +54,7 @@ dev = [
     "interrogate==1.7.0",
     "isort==6.0.1",
     "mypy==1.16.1",
-    "pandas-stubs==2.2.3.241126",
+    "pandas-stubs==2.3.2.250926",
     "pre-commit==4.1.0",
     "pytest==8.3.4",
     "pytest-asyncio==0.24.0",