DEPR: deprecate unit parameters ’T’, 't', 'L', and 'l' (pandas-dev#53557

)

* BUG: add ’T’ to UnitChoices to fix incorrect unit validation in to_timedelta()

* deprecate units T, t, L, l and fix tests

* raise FutureWarning instead of ValueError

* correct the to_timedelta definition and add a test for the warning

---------

Co-authored-by: Marco Edward Gorelli <marcogorelli@protonmail.com>

doc/source/whatsnew/v2.1.0.rst

@@ -295,10 +295,10 @@ Deprecations
 - Deprecated option "mode.use_inf_as_na", convert inf entries to ``NaN`` before instead (:issue:`51684`)
 - Deprecated parameter ``obj`` in :meth:`GroupBy.get_group` (:issue:`53545`)
 - Deprecated positional indexing on :class:`Series` with :meth:`Series.__getitem__` and :meth:`Series.__setitem__`, in a future version ``ser[item]`` will *always* interpret ``item`` as a label, not a position (:issue:`50617`)
+- Deprecated strings ``T``, ``t``, ``L`` and ``l`` denoting units in :func:`to_timedelta` (:issue:`52536`)
 - Deprecated the "method" and "limit" keywords on :meth:`Series.fillna`, :meth:`DataFrame.fillna`, :meth:`SeriesGroupBy.fillna`, :meth:`DataFrameGroupBy.fillna`, and :meth:`Resampler.fillna`, use ``obj.bfill()`` or ``obj.ffill()`` instead (:issue:`53394`)
 - Deprecated the ``method`` and ``limit`` keywords in :meth:`DataFrame.replace` and :meth:`Series.replace` (:issue:`33302`)
 - Deprecated values "pad", "ffill", "bfill", "backfill" for :meth:`Series.interpolate` and :meth:`DataFrame.interpolate`, use ``obj.ffill()`` or ``obj.bfill()`` instead (:issue:`53581`)
--
 
 .. ---------------------------------------------------------------------------
 .. _whatsnew_210.performance:

pandas/_libs/tslibs/timedeltas.pyi

@@ -37,6 +37,7 @@ UnitChoices = Literal[
     "minute",
     "min",
     "minutes",
+    "T",
     "t",
     "s",
     "seconds",
@@ -47,6 +48,7 @@ UnitChoices = Literal[
     "millisecond",
     "milli",
     "millis",
+    "L",
     "l",
     "us",
     "microseconds",

pandas/core/tools/timedeltas.py

@@ -7,6 +7,7 @@
     TYPE_CHECKING,
     overload,
 )
+import warnings
 
 import numpy as np
 
@@ -19,6 +20,7 @@
     Timedelta,
     parse_timedelta_unit,
 )
+from pandas.util._exceptions import find_stack_level
 
 from pandas.core.dtypes.common import is_list_like
 from pandas.core.dtypes.generic import (
@@ -118,6 +120,9 @@ def to_timedelta(
 
         Must not be specified when `arg` context strings and ``errors="raise"``.
 
+        .. deprecated:: 2.1.0
+            Units 'T' and 'L' are deprecated and will be removed in a future version.
+
     errors : {'ignore', 'raise', 'coerce'}, default 'raise'
         - If 'raise', then invalid parsing will raise an exception.
         - If 'coerce', then invalid parsing will be set as NaT.
@@ -169,6 +174,13 @@ def to_timedelta(
     TimedeltaIndex(['0 days', '1 days', '2 days', '3 days', '4 days'],
                    dtype='timedelta64[ns]', freq=None)
     """
+    if unit in {"T", "t", "L", "l"}:
+        warnings.warn(
+            f"Unit '{unit}' is deprecated and will be removed in a future version.",
+            FutureWarning,
+            stacklevel=find_stack_level(),
+        )
+
     if unit is not None:
         unit = parse_timedelta_unit(unit)
 

pandas/tests/indexes/timedeltas/test_timedelta_range.py

@@ -38,10 +38,27 @@ def test_timedelta_range(self):
         result = timedelta_range("1 days, 00:00:02", periods=5, freq="2D")
         tm.assert_index_equal(result, expected)
 
-        expected = to_timedelta(np.arange(50), unit="T") * 30
-        result = timedelta_range("0 days", freq="30T", periods=50)
+        expected = to_timedelta(np.arange(50), unit="min") * 30
+        result = timedelta_range("0 days", freq="30min", periods=50)
         tm.assert_index_equal(result, expected)
 
+    @pytest.mark.parametrize(
+        "depr_unit, unit",
+        [
+            ("T", "minute"),
+            ("t", "minute"),
+            ("L", "millisecond"),
+            ("l", "millisecond"),
+        ],
+    )
+    def test_timedelta_units_T_L_deprecated(self, depr_unit, unit):
+        depr_msg = f"Unit '{depr_unit}' is deprecated."
+
+        expected = to_timedelta(np.arange(5), unit=unit)
+        with tm.assert_produces_warning(FutureWarning, match=depr_msg):
+            result = to_timedelta(np.arange(5), unit=depr_unit)
+            tm.assert_index_equal(result, expected)
+
     @pytest.mark.parametrize(
         "periods, freq", [(3, "2D"), (5, "D"), (6, "19H12T"), (7, "16H"), (9, "12H")]
     )

pandas/tests/resample/test_timedelta.py

@@ -48,17 +48,17 @@ def test_resample_as_freq_with_subperiod():
 def test_resample_with_timedeltas():
     expected = DataFrame({"A": np.arange(1480)})
     expected = expected.groupby(expected.index // 30).sum()
-    expected.index = timedelta_range("0 days", freq="30T", periods=50)
+    expected.index = timedelta_range("0 days", freq="30min", periods=50)
 
     df = DataFrame(
-        {"A": np.arange(1480)}, index=pd.to_timedelta(np.arange(1480), unit="T")
+        {"A": np.arange(1480)}, index=pd.to_timedelta(np.arange(1480), unit="min")
     )
-    result = df.resample("30T").sum()
+    result = df.resample("30min").sum()
 
     tm.assert_frame_equal(result, expected)
 
     s = df["A"]
-    result = s.resample("30T").sum()
+    result = s.resample("30min").sum()
     tm.assert_series_equal(result, expected["A"])
 
 

pandas/tests/scalar/timedelta/test_timedelta.py

@@ -492,11 +492,9 @@ def test_nat_converters(self):
                 "minute",
                 "min",
                 "minutes",
-                "t",
                 "Minute",
                 "Min",
                 "Minutes",
-                "T",
             ]
         ]
         + [
@@ -520,13 +518,11 @@ def test_nat_converters(self):
                 "millisecond",
                 "milli",
                 "millis",
-                "l",
                 "MS",
                 "Milliseconds",
                 "Millisecond",
                 "Milli",
                 "Millis",
-                "L",
             ]
         ]
         + [