feat: bump version to 0.4.2 and add pyarrow dependency

- Bump version from 0.4.0 to 0.4.2 for latest improvements
- Add pyarrow>=21.0.0 to main dependencies for enhanced data processing
- Add empty time_diffs validation in CGMS2DayByDay to prevent errors
- Update uv.lock with new dependency structure

This version includes:
- Full pandas 1.5.x compatibility for Databricks environments
- Critical DST transition bug fixes
- Enhanced test framework with rtol=0.001 precision
- Modern dependency management with optional groups
- Comprehensive timezone handling improvements

Ready for production deployment with improved reliability and compatibility.

Author: staskh

iglu_python/utils.py

@@ -213,6 +213,8 @@ def CGMS2DayByDay(  # noqa: C901
     if dt0 is None:
         # Use most common time difference (for pandas 1.5.x backward compatibility)
         time_diffs = pd.Series(data.index).diff().dropna()
+        if time_diffs.empty:
+            raise ValueError("Not enough data to calculate time step")
         # Pandas TimedeltaIndex does not have a .mode() method directly.
         # We'll convert to seconds and use pd.Series.mode()
         # Use .dt accessor for pandas 1.5.x compatibility

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "iglu_python"
-version = "0.4.0"
+version = "0.4.2"
 description = "Python implementation of the iglu package for continuous glucose monitoring data analysis"
 readme = "README.md"
 requires-python = ">=3.11"
@@ -29,6 +29,7 @@ dependencies = [
     "tzlocal",
     "openpyxl",
     "matplotlib",
+    "pyarrow>=21.0.0",
 ]
 
 [project.urls]