Merge branch 'main' into to_timestamp

Author: saldanhad

ci/code_checks.sh

@@ -159,17 +159,14 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.errors.ValueLabelTypeMismatch SA01" \
         -i "pandas.infer_freq SA01" \
         -i "pandas.io.json.build_table_schema PR07,RT03,SA01" \
-        -i "pandas.io.stata.StataReader.data_label SA01" \
         -i "pandas.io.stata.StataReader.value_labels RT03,SA01" \
         -i "pandas.io.stata.StataReader.variable_labels RT03,SA01" \
         -i "pandas.io.stata.StataWriter.write_file SA01" \
         -i "pandas.json_normalize RT03,SA01" \
-        -i "pandas.period_range RT03,SA01" \
         -i "pandas.plotting.andrews_curves RT03,SA01" \
         -i "pandas.plotting.lag_plot RT03,SA01" \
         -i "pandas.plotting.scatter_matrix PR07,SA01" \
         -i "pandas.set_eng_float_format RT03,SA01" \
-        -i "pandas.testing.assert_extension_array_equal SA01" \
         -i "pandas.tseries.offsets.BDay PR02,SA01" \
         -i "pandas.tseries.offsets.BQuarterBegin.is_on_offset GL08" \
         -i "pandas.tseries.offsets.BQuarterBegin.n GL08" \

doc/source/whatsnew/v3.0.0.rst

@@ -702,6 +702,7 @@ Other
 - Bug in :func:`eval` on :class:`ExtensionArray` on including division ``/`` failed with a ``TypeError``. (:issue:`58748`)
 - Bug in :func:`eval` where the names of the :class:`Series` were not preserved when using ``engine="numexpr"``. (:issue:`10239`)
 - Bug in :func:`eval` with ``engine="numexpr"`` returning unexpected result for float division. (:issue:`59736`)
+- Bug in :func:`to_numeric` raising ``TypeError`` when ``arg`` is a :class:`Timedelta` or :class:`Timestamp` scalar. (:issue:`59944`)
 - Bug in :func:`unique` on :class:`Index` not always returning :class:`Index` (:issue:`57043`)
 - Bug in :meth:`DataFrame.apply` where passing ``engine="numba"`` ignored ``args`` passed to the applied function (:issue:`58712`)
 - Bug in :meth:`DataFrame.eval` and :meth:`DataFrame.query` which caused an exception when using NumPy attributes via ``@`` notation, e.g., ``df.eval("@np.floor(a)")``. (:issue:`58041`)

pandas/_testing/asserters.py

@@ -701,6 +701,10 @@ def assert_extension_array_equal(
     """
     Check that left and right ExtensionArrays are equal.
 
+    This method compares two ``ExtensionArray`` instances for equality,
+    including checks for missing values, the dtype of the arrays, and
+    the exactness of the comparison (or tolerance when comparing floats).
+
     Parameters
     ----------
     left, right : ExtensionArray
@@ -726,6 +730,12 @@ def assert_extension_array_equal(
 
         .. versionadded:: 2.0.0
 
+    See Also
+    --------
+    testing.assert_series_equal : Check that left and right ``Series`` are equal.
+    testing.assert_frame_equal : Check that left and right ``DataFrame`` are equal.
+    testing.assert_index_equal : Check that left and right ``Index`` are equal.
+
     Notes
     -----
     Missing values are checked separately from valid values.

pandas/core/indexes/period.py

@@ -563,6 +563,14 @@ def period_range(
     Returns
     -------
     PeriodIndex
+        A PeriodIndex of fixed frequency periods.
+
+    See Also
+    --------
+    date_range : Returns a fixed frequency DatetimeIndex.
+    Period : Represents a period of time.
+    PeriodIndex : Immutable ndarray holding ordinal values indicating regular periods
+        in time.
 
     Notes
     -----

pandas/core/tools/numeric.py

@@ -11,6 +11,10 @@
     lib,
     missing as libmissing,
 )
+from pandas._libs.tslibs import (
+    Timedelta,
+    Timestamp,
+)
 from pandas.util._validators import check_dtype_backend
 
 from pandas.core.dtypes.cast import maybe_downcast_numeric
@@ -189,6 +193,8 @@ def to_numeric(
             return float(arg)
         if is_number(arg):
             return arg
+        if isinstance(arg, (Timedelta, Timestamp)):
+            return arg._value
         is_scalars = True
         values = np.array([arg], dtype="O")
     elif getattr(arg, "ndim", 1) > 1:

pandas/io/stata.py

@@ -2004,6 +2004,16 @@ def data_label(self) -> str:
         """
         Return data label of Stata file.
 
+        The data label is a descriptive string associated with the dataset
+        stored in the Stata file. This property provides access to that
+        label, if one is present.
+
+        See Also
+        --------
+        io.stata.StataReader.variable_labels : Return a dict associating each variable
+            name with corresponding label.
+        DataFrame.to_stata : Export DataFrame object to Stata dta format.
+
         Examples
         --------
         >>> df = pd.DataFrame([(1,)], columns=["variable"])

pandas/tests/tools/test_to_numeric.py

@@ -384,6 +384,21 @@ def test_timedelta(transform_assert_equal):
     assert_equal(result, expected)
 
 
+@pytest.mark.parametrize(
+    "scalar",
+    [
+        pd.Timedelta(1, "D"),
+        pd.Timestamp("2017-01-01T12"),
+        pd.Timestamp("2017-01-01T12", tz="US/Pacific"),
+    ],
+)
+def test_timedelta_timestamp_scalar(scalar):
+    # GH#59944
+    result = to_numeric(scalar)
+    expected = to_numeric(Series(scalar))[0]
+    assert result == expected
+
+
 def test_period(request, transform_assert_equal):
     transform, assert_equal = transform_assert_equal