diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 2eb5b73d68964..75ce6b179b966 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -90,7 +90,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.TimedeltaIndex.round\
         pandas.TimedeltaIndex.floor\
         pandas.TimedeltaIndex.ceil\
-        pandas.PeriodIndex\
         pandas.PeriodIndex.strftime\
         pandas.Series.rename_axis\
         pandas.Series.dt.to_period\
diff --git a/pandas/core/indexes/period.py b/pandas/core/indexes/period.py
index b2f1933800fd3..ab499665b13ed 100644
--- a/pandas/core/indexes/period.py
+++ b/pandas/core/indexes/period.py
@@ -94,39 +94,24 @@ class PeriodIndex(DatetimeIndexOpsMixin):
     ----------
     data : array-like (1d int np.ndarray or PeriodArray), optional
         Optional period-like data to construct index with.
-    copy : bool
-        Make a copy of input ndarray.
-    freq : str or period object, optional
-        One of pandas period strings or corresponding objects.
-    year : int, array, or Series, default None
-
-        .. deprecated:: 2.2.0
-           Use PeriodIndex.from_fields instead.
-    month : int, array, or Series, default None
-
-        .. deprecated:: 2.2.0
-           Use PeriodIndex.from_fields instead.
-    quarter : int, array, or Series, default None
+    ordinal : array-like of int, optional
+        The period offsets from the proleptic Gregorian epoch.
 
         .. deprecated:: 2.2.0
-           Use PeriodIndex.from_fields instead.
-    day : int, array, or Series, default None
-
-        .. deprecated:: 2.2.0
-           Use PeriodIndex.from_fields instead.
-    hour : int, array, or Series, default None
-
-        .. deprecated:: 2.2.0
-           Use PeriodIndex.from_fields instead.
-    minute : int, array, or Series, default None
-
-        .. deprecated:: 2.2.0
-           Use PeriodIndex.from_fields instead.
-    second : int, array, or Series, default None
+           Use PeriodIndex.from_ordinals instead.
+    freq : str or period object, optional
+        One of pandas period strings or corresponding objects.
+    dtype : str or PeriodDtype, default None
+        A dtype from which to extract a freq.
+    copy : bool
+        Make a copy of input ndarray.
+    name : str, default None
+        Name of the resulting PeriodIndex.
+    **fields : optional
+        Date fields such as year, month, etc.
 
         .. deprecated:: 2.2.0
            Use PeriodIndex.from_fields instead.
-    dtype : str or PeriodDtype, default None
 
     Attributes
     ----------
@@ -171,7 +156,7 @@ class PeriodIndex(DatetimeIndexOpsMixin):
 
     Examples
     --------
-    >>> idx = pd.PeriodIndex.from_fields(year=[2000, 2002], quarter=[1, 3])
+    >>> idx = pd.PeriodIndex(data=['2000Q1', '2002Q3'], freq='Q')
     >>> idx
     PeriodIndex(['2000Q1', '2002Q3'], dtype='period[Q-DEC]')
     """
@@ -331,6 +316,31 @@ def from_fields(
         second=None,
         freq=None,
     ) -> Self:
+        """
+        Construct a PeriodIndex from fields (year, month, day, etc.).
+
+        Parameters
+        ----------
+        year : int, array, or Series, default None
+        quarter : int, array, or Series, default None
+        month : int, array, or Series, default None
+        day : int, array, or Series, default None
+        hour : int, array, or Series, default None
+        minute : int, array, or Series, default None
+        second : int, array, or Series, default None
+        freq : str or period object, optional
+            One of pandas period strings or corresponding objects.
+
+        Returns
+        -------
+        PeriodIndex
+
+        Examples
+        --------
+        >>> idx = pd.PeriodIndex.from_fields(year=[2000, 2002], quarter=[1, 3])
+        >>> idx
+        PeriodIndex(['2000Q1', '2002Q3'], dtype='period[Q-DEC]')
+        """
         fields = {
             "year": year,
             "quarter": quarter,
@@ -346,6 +356,28 @@ def from_fields(
 
     @classmethod
     def from_ordinals(cls, ordinals, *, freq, name=None) -> Self:
+        """
+        Construct a PeriodIndex from ordinals.
+
+        Parameters
+        ----------
+        ordinals : array-like of int
+            The period offsets from the proleptic Gregorian epoch.
+        freq : str or period object
+            One of pandas period strings or corresponding objects.
+        name : str, default None
+            Name of the resulting PeriodIndex.
+
+        Returns
+        -------
+        PeriodIndex
+
+        Examples
+        --------
+        >>> idx = pd.PeriodIndex.from_ordinals([-1, 0, 1], freq='Q')
+        >>> idx
+        PeriodIndex(['1969Q4', '1970Q1', '1970Q2'], dtype='period[Q-DEC]')
+        """
         ordinals = np.asarray(ordinals, dtype=np.int64)
         dtype = PeriodDtype(freq)
         data = PeriodArray._simple_new(ordinals, dtype=dtype)