Fix deprecated usage in pandas 3.0

pyproject.toml

@@ -47,7 +47,7 @@ dependencies = [
   "matplotlib >=3.6.0",
   "numpy >=1.25.0",
   "owslib >=0.29.1",
-  "pandas >=2.2.0,<3.0",
+  "pandas >=2.2.0",
   "pint >=0.24.4",
   "pydantic >=2.11",
   "pydap >=3.5.6",

src/ravenpy/config/utils.py

@@ -1,5 +1,7 @@
+import datetime as dt
 import os
 import typing
+import warnings
 from collections.abc import Sequence
 from pathlib import Path
 from typing import Optional, Union
@@ -126,6 +128,13 @@ def nc_specs(
                 if ds["station_id"].shape and len(ds["station_id"]) > i:
                     attrs["name"] = ds["station_id"].values[i]
 
+        # Extract start and end datetime as private attributes
+        try:
+            attrs["_start_date"] = np.datetime64(ds.cf["time"][0].values, "us").astype(dt.datetime)
+            attrs["_end_date"] = np.datetime64(ds.cf["time"][-1].values, "us").astype(dt.datetime)
+        except:
+            warnings.info("Could not extract start and end dates from dataset.")
+
     return attrs
 
 

src/ravenpy/extractors/routing_product.py

@@ -405,7 +405,7 @@ def extract(self) -> dict:
         # Read routing data
 
         # WGS 84 / North Pole LAEA Canada
-        self._routing_data = self._routing_data.to_crs(epsg=GridWeightExtractor.CRS_CAEA)
+        df = self._routing_data.to_crs(epsg=GridWeightExtractor.CRS_CAEA)
 
         def keep_only_valid_downsubid_and_obs_nm(g):
             """
@@ -436,13 +436,7 @@ def keep_only_valid_downsubid_and_obs_nm(g):
             return row
 
         # Remove duplicate HRU_IDs while making sure that we keep relevant DowSubId and Obs_NM values
-        # FIXME: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns.
-        #  This behavior is deprecated, and in a future version of pandas the grouping columns will be
-        #  excluded from the operation. Either pass `include_groups=False` to exclude the groupings or
-        #  explicitly select the grouping columns after groupby to silence this warning.
-        self._routing_data = self._routing_data.groupby(self._routing_id_field, group_keys=False).apply(
-            keep_only_valid_downsubid_and_obs_nm, include_groups=True
-        )
+        self._routing_data = df.groupby(self._routing_id_field, group_keys=False)[df.columns.to_list()].apply(keep_only_valid_downsubid_and_obs_nm)
 
         # Make sure those are ints
         self._routing_data.SubId = self._routing_data.SubId.astype(int)