DEPR: freq keyword in PeriodArray (#58022)

* DEPR: freq keyword in PeriodArray

* update docstring

Author: jbrockmendel

doc/source/whatsnew/v3.0.0.rst

@@ -206,6 +206,7 @@ Removal of prior version deprecations/changes
 - :meth:`SeriesGroupBy.agg` no longer pins the name of the group to the input passed to the provided ``func`` (:issue:`51703`)
 - All arguments except ``name`` in :meth:`Index.rename` are now keyword only (:issue:`56493`)
 - All arguments except the first ``path``-like argument in IO writers are now keyword only (:issue:`54229`)
+- Removed "freq" keyword from :class:`PeriodArray` constructor, use "dtype" instead (:issue:`52462`)
 - Removed the "closed" and "normalize" keywords in :meth:`DatetimeIndex.__new__` (:issue:`52628`)
 - Removed the "closed" and "unit" keywords in :meth:`TimedeltaIndex.__new__` (:issue:`52628`, :issue:`55499`)
 - All arguments in :meth:`Index.sort_values` are now keyword only (:issue:`56493`)

pandas/core/arrays/period.py

@@ -54,7 +54,6 @@
     cache_readonly,
     doc,
 )
-from pandas.util._exceptions import find_stack_level
 
 from pandas.core.dtypes.common import (
     ensure_object,
@@ -135,11 +134,6 @@ class PeriodArray(dtl.DatelikeOps, libperiod.PeriodMixin):  # type: ignore[misc]
     dtype : PeriodDtype, optional
         A PeriodDtype instance from which to extract a `freq`. If both
         `freq` and `dtype` are specified, then the frequencies must match.
-    freq : str or DateOffset
-        The `freq` to use for the array. Mostly applicable when `values`
-        is an ndarray of integers, when `freq` is required. When `values`
-        is a PeriodArray (or box around), it's checked that ``values.freq``
-        matches `freq`.
     copy : bool, default False
         Whether to copy the ordinals before storing.
 
@@ -224,20 +218,7 @@ def _scalar_type(self) -> type[Period]:
     # --------------------------------------------------------------------
     # Constructors
 
-    def __init__(
-        self, values, dtype: Dtype | None = None, freq=None, copy: bool = False
-    ) -> None:
-        if freq is not None:
-            # GH#52462
-            warnings.warn(
-                "The 'freq' keyword in the PeriodArray constructor is deprecated "
-                "and will be removed in a future version. Pass 'dtype' instead",
-                FutureWarning,
-                stacklevel=find_stack_level(),
-            )
-            freq = validate_dtype_freq(dtype, freq)
-            dtype = PeriodDtype(freq)
-
+    def __init__(self, values, dtype: Dtype | None = None, copy: bool = False) -> None:
         if dtype is not None:
             dtype = pandas_dtype(dtype)
             if not isinstance(dtype, PeriodDtype):

pandas/tests/arrays/period/test_constructors.py

@@ -135,17 +135,6 @@ def test_from_td64nat_sequence_raises():
         pd.DataFrame(arr, dtype=dtype)
 
 
-def test_freq_deprecated():
-    # GH#52462
-    data = np.arange(5).astype(np.int64)
-    msg = "The 'freq' keyword in the PeriodArray constructor is deprecated"
-    with tm.assert_produces_warning(FutureWarning, match=msg):
-        res = PeriodArray(data, freq="M")
-
-    expected = PeriodArray(data, dtype="period[M]")
-    tm.assert_equal(res, expected)
-
-
 def test_period_array_from_datetime64():
     arr = np.array(
         ["2020-01-01T00:00:00", "2020-02-02T00:00:00"], dtype="datetime64[ns]"