Fix: Correct mismatched datetime resolution with pd.date_range (#243)

* replace pandas date_range with polars datetime_range for compatible default dt resolution

* udpate changelog

* Revert "udpate changelog"

This reverts commit 267d272.

* Revert "replace pandas date_range with polars datetime_range for compatible default dt resolution"

This reverts commit 9a05dba.

* udpate changelog

* replace pandas date_range with polars datetime_range for compatible default dt resolution

* update changelog

* bump version

Author: RHammond2

CHANGELOG.md

@@ -1,5 +1,10 @@
 # CHANGELOG
 
+## v0.13.4 - 14 July 2026
+
+- Replaces the use of `pandas.date_range` with `polars.datetime_range` in
+  `tests/unit/test_environment.py` to account for Pandas updated default time resolution of us to ns.
+
 ## v0.13.3. - 8 April 2026
 
 - Enable Pandas v3.

tests/unit/test_environment.py

@@ -6,7 +6,6 @@
 from pathlib import Path
 
 import numpy as np
-import pandas as pd
 import polars as pl
 import pytest
 import numpy.testing as npt
@@ -372,11 +371,12 @@ def test_weather_forecast():
 
     # Test for the next 5 hours, but at the top of the hour
     # Starts with hour 0, and ends with the 5th hour following
-    correct_index = pl.from_pandas(
-        pd.date_range(
-            "1/1/2002 00:00:00", "1/1/2002 04:00:00", freq="1h", name="datetime"
-        )
-    )
+    correct_index = pl.datetime_range(
+        datetime.datetime(2002, 1, 1),
+        datetime.datetime(2002, 1, 1, 4),
+        interval="1h",
+        eager=True,
+    ).alias("datetime")
     correct_hour = np.array([0, 1, 2, 3, 4], dtype=float)
     correct_wind = np.array(
         [11.75561096, 10.41321252, 8.959270788, 9.10014808, 9.945059601]
@@ -395,11 +395,12 @@ def test_weather_forecast():
     # Test for 5 hours at an uneven start time increment
     # Starts at hour 1, and ends with the 5th hour following
     env.run(until=0.1)
-    correct_index = pl.from_pandas(
-        pd.date_range(
-            "1/1/2002 00:00:00", "1/1/2002 05:00:00", freq="1h", name="datetime"
-        )
-    )
+    correct_index = pl.datetime_range(
+        datetime.datetime(2002, 1, 1),
+        datetime.datetime(2002, 1, 1, 5),
+        interval="1h",
+        eager=True,
+    ).alias("datetime")
     correct_hour = np.arange(6, dtype=float)
     correct_wind = np.array(
         [11.75561096, 10.41321252, 8.959270788, 9.10014808, 9.945059601, 11.50807971]
@@ -418,11 +419,12 @@ def test_weather_forecast():
     # Test for 5.5 hours at an uneven start time increment
     # Starts at hour 1, and ends at the 7th hour following
     env.run(until=1.2)
-    correct_index = pl.from_pandas(
-        pd.date_range(
-            "1/1/2002 01:00:00", "1/1/2002 07:00:00", freq="1h", name="datetime"
-        )
-    )
+    correct_index = pl.datetime_range(
+        datetime.datetime(2002, 1, 1, 1),
+        datetime.datetime(2002, 1, 1, 7),
+        interval="1h",
+        eager=True,
+    ).alias("datetime")
     correct_hour = np.arange(1, 8, dtype=float)
     correct_wind = np.array(
         [

wombat/__init__.py

@@ -4,4 +4,4 @@
 from wombat.core.library import create_library_structure, load_yaml
 
 
-__version__ = "0.13.3"
+__version__ = "0.13.4"