fix(datatypes): return pd.Timestamp or pd.Series[datetime64] for date.to_pandas()

docs/contribute/02_workflow.qmd

@@ -274,3 +274,11 @@ you are going only up).
 ```bash
 $ colima delete
 ```
+
+### `x86_64` or `amd64` based containers
+
+While starting the containers based on `x86_64` / `amd64`, the architecture flag needs to be set in two places:
+1. Add `platform: linux/amd64` for the service in `compose.yaml`.
+2. Set the `--arch` flag while starting the VM `colima start --arch x86_64`
+
+For instance, this step is necessary for the `oracle` service in `compose.yaml`. Otherwise, the container will fail shortly after getting started.

ibis/backends/oracle/converter.py

@@ -1,19 +1,19 @@
 from __future__ import annotations
 
-import datetime
+import pandas as pd
 
 from ibis.formats.pandas import PandasData
 
 
 class OraclePandasData(PandasData):
     @classmethod
     def convert_Timestamp_element(cls, dtype):
-        return datetime.datetime.fromisoformat
+        return pd.Timestamp.fromisoformat
 
     @classmethod
     def convert_Date_element(cls, dtype):
-        return datetime.date.fromisoformat
+        return pd.Timestamp.fromisoformat
 
     @classmethod
     def convert_Time_element(cls, dtype):
-        return datetime.time.fromisoformat
+        return pd.Timestamp.fromisoformat

ibis/backends/snowflake/converter.py

@@ -1,9 +1,9 @@
 from __future__ import annotations
 
-import datetime
 import json
 from typing import TYPE_CHECKING
 
+import pandas as pd
 import pyarrow as pa
 
 from ibis.formats.pandas import PandasData
@@ -52,15 +52,15 @@ def __arrow_ext_scalar_class__(self):
 class SnowflakePandasData(PandasData):
     @classmethod
     def convert_Timestamp_element(cls, dtype):
-        return datetime.datetime.fromisoformat
+        return pd.Timestamp.fromisoformat
 
     @classmethod
     def convert_Date_element(cls, dtype):
-        return datetime.date.fromisoformat
+        return pd.Timestamp.fromisoformat
 
     @classmethod
     def convert_Time_element(cls, dtype):
-        return datetime.time.fromisoformat
+        return pd.Timestamp.fromisoformat
 
     @classmethod
     def convert_JSON(cls, s, dtype, pandas_type):

ibis/backends/sqlite/tests/test_types.py

@@ -92,6 +92,8 @@ def test_type_map(db):
     sol = pd.DataFrame(
         {"str_col": ["a"], "date_col": pd.Series([date(2022, 1, 1)], dtype="object")}
     )
+    sol["date_col"] = sol["date_col"].astype(res["date_col"].dtype)
+
     assert res.equals(sol)
 
 

ibis/backends/tests/test_aggregation.py

@@ -1253,7 +1253,7 @@ def test_string_quantile(alltypes, func):
 )
 def test_date_quantile(alltypes):
     expr = alltypes.timestamp_col.date().quantile(0.5)
-    result = expr.execute()
+    result = expr.execute().to_pydatetime().date()
     assert result == date(2009, 12, 31)
 
 

ibis/backends/tests/test_temporal.py

@@ -646,9 +646,7 @@ def convert_to_offset(x):
             "ignore", category=(UserWarning, pd.errors.PerformanceWarning)
         )
         expected = (
-            pd.to_datetime(df.date_string_col)
-            .add(offset)
-            .map(lambda ts: ts.normalize().date(), na_action="ignore")
+            pd.to_datetime(df.date_string_col).add(offset).astype("datetime64[s]")
         )
 
     expected = backend.default_series_rename(expected)
@@ -723,12 +721,7 @@ def convert_to_offset(x):
         ),
         param(
             lambda t, _: t.timestamp_col.date() + ibis.interval(days=4),
-            lambda t, _: (
-                t.timestamp_col.dt.floor("d")
-                .add(pd.Timedelta(days=4))
-                .dt.normalize()
-                .dt.date
-            ),
+            lambda t, _: t.timestamp_col.dt.floor("d").add(pd.Timedelta(days=4)),
             id="date-add-interval",
             marks=[
                 pytest.mark.notimpl(
@@ -739,12 +732,7 @@ def convert_to_offset(x):
         ),
         param(
             lambda t, _: t.timestamp_col.date() - ibis.interval(days=14),
-            lambda t, _: (
-                t.timestamp_col.dt.floor("d")
-                .sub(pd.Timedelta(days=14))
-                .dt.normalize()
-                .dt.date
-            ),
+            lambda t, _: t.timestamp_col.dt.floor("d").sub(pd.Timedelta(days=14)),
             id="date-subtract-interval",
             marks=[
                 pytest.mark.notimpl(
@@ -999,14 +987,15 @@ def test_interval_add_cast_column(backend, alltypes, df):
     delta = alltypes.bigint_col.cast("interval('D')")
     expr = alltypes.select("id", (timestamp_date + delta).name("tmp"))
     result = expr.execute().sort_values("id").reset_index().tmp
+
     df = df.sort_values("id").reset_index(drop=True)
     expected = (
         df["timestamp_col"]
         .dt.normalize()
         .add(df.bigint_col.astype("timedelta64[D]"))
         .rename("tmp")
-        .dt.date
     )
+
     backend.assert_series_equal(result, expected.astype(result.dtype))
 
 
@@ -2239,21 +2228,21 @@ def test_time_literal_sql(dialect, snapshot, micros):
 )
 def test_date_scalar(con, value, func):
     expr = ibis.date(func(value)).name("tmp")
-
     result = con.execute(expr)
 
-    assert not isinstance(result, datetime.datetime)
-    assert isinstance(result, datetime.date)
-
-    assert result == datetime.date.fromisoformat(value)
+    assert isinstance(result, pd.Timestamp)
+    assert result == pd.Timestamp.fromisoformat(value)
 
 
 @pytest.mark.notyet(
     ["datafusion", "druid", "exasol"], raises=com.OperationNotDefinedError
 )
 def test_simple_unix_date_offset(con):
-    d = ibis.date("2023-04-07")
+    s = "2023-04-07"
+    d = ibis.date(s)
     expr = d.epoch_days()
     result = con.execute(expr)
     delta = datetime.date(2023, 4, 7) - datetime.date(1970, 1, 1)
     assert result == delta.days
+    assert isinstance(result, pd.Timestamp)
+    assert result == pd.Timestamp.fromisoformat(s)

ibis/formats/pandas.py

@@ -222,17 +222,20 @@ def convert_Timestamp(cls, s, dtype, pandas_type):
     def convert_Date(cls, s, dtype, pandas_type):
         if isinstance(s.dtype, pd.DatetimeTZDtype):
             s = s.dt.tz_convert("UTC").dt.tz_localize(None)
+
         try:
-            return s.astype(pandas_type).dt.date
+            return s.astype(pandas_type)
         except (ValueError, TypeError, pd._libs.tslibs.OutOfBoundsDatetime):
 
             def try_date(v):
-                if isinstance(v, datetime.datetime):
-                    return v.date()
+                if isinstance(v, datetime.date):
+                    return pd.Timestamp(v)
                 elif isinstance(v, str):
                     if v.endswith("Z"):
-                        return datetime.datetime.fromisoformat(v[:-1]).date()
-                    return datetime.date.fromisoformat(v)
+                        datetime_obj = datetime.datetime.fromisoformat(v[:-1])
+                    else:
+                        datetime_obj = datetime.datetime.fromisoformat(v)
+                    return pd.Timestamp(datetime_obj)
                 else:
                     return v