Fix: some unit tests failed when using Pandas 2.0

Issue #176

Author: JohanKJSchreurs

openeo_driver/ProcessGraphDeserializer.py

@@ -1081,17 +1081,17 @@ def _period_to_intervals(start, end, period) -> List[Tuple[pd.Timestamp, pd.Time
     # TODO: "hour" support?
     if "day" == period:
         offset = timedelta(days=1)
-        start_dates = pd.date_range(start - offset, end, freq='D', closed='left')
-        end_dates = pd.date_range(start, end + offset, freq='D', closed='left')
+        start_dates = pd.date_range(start - offset, end, freq="D", inclusive="left")
+        end_dates = pd.date_range(start, end + offset, freq="D", inclusive="left")
         intervals = zip(start_dates, end_dates)
     elif "week" == period:
         offset = timedelta(weeks=1)
-        start_dates = pd.date_range(start - offset, end, freq='W', closed='left')
-        end_dates = pd.date_range(start, end + offset, freq='W', closed='left')
+        start_dates = pd.date_range(start - offset, end, freq="W", inclusive="left")
+        end_dates = pd.date_range(start, end + offset, freq="W", inclusive="left")
         intervals = zip(start_dates, end_dates)
     elif "dekad" == period:
         offset = timedelta(days=10)
-        start_dates = pd.date_range(start - offset, end, freq='MS', closed='left')
+        start_dates = pd.date_range(start - offset, end, freq="MS", inclusive="left")
         ten_days = pd.Timedelta(days=10)
         first_dekad_month = [(date, date + ten_days) for date in start_dates]
         second_dekad_month = [(date + ten_days, date + ten_days + ten_days) for date in start_dates]
@@ -1114,8 +1114,12 @@ def _period_to_intervals(start, end, period) -> List[Tuple[pd.Timestamp, pd.Time
         intervals = [(p.to_timestamp(), month_shift(p.to_timestamp(), months=6)) for p in periods]
     elif "year" == period:
         offset = timedelta(weeks=52)
-        start_dates = pd.date_range(start - offset, end, freq='A-DEC', closed='left') + timedelta(days=1)
-        end_dates = pd.date_range(start, end + offset, freq='A-DEC', closed='left') + timedelta(days=1)
+        start_dates = pd.date_range(
+            start - offset, end, freq="A-DEC", inclusive="left"
+        ) + timedelta(days=1)
+        end_dates = pd.date_range(
+            start, end + offset, freq="A-DEC", inclusive="left"
+        ) + timedelta(days=1)
         intervals = zip(start_dates, end_dates)
     # TODO: "decade" support?
     # TODO: "decade-ad" support?

tests/test_save_result_netcdf.py

@@ -43,7 +43,9 @@ def test_aggregate_polygon_result_basic(tmp_path):
     timeseries_ds.red.sel(feature=1)
     timeseries_ds.red.sel( t='2019-10-16')
     print(timeseries_ds)
-    assert_array_equal( 4, timeseries_ds.red.sel(feature=1).sel( t="2019-10-15T08:15:45Z").data)
+    assert_array_equal(
+        4, timeseries_ds.red.sel(feature=1).sel(t="2019-10-15T08:15:45").data
+    )
 
 
 def test_aggregate_polygon_result_nan_values(tmp_path):
@@ -150,4 +152,4 @@ def test_aggregate_polygon_result_CSV(tmp_path):
 
     timeseries_ds.red.sel( t='2017-09-05')
 
-    assert_allclose( timeseries_ds.red.sel(feature=2).sel( t='2017-09-06').data,4645.719597)
+    assert_allclose( timeseries_ds.red.sel(feature=2).sel( t='2017-09-06').data,4645.719597)