Fix docstrings for pandas.Period.month indentation

Author: uditbaliyan

pandas/_libs/tslibs/period.pyx

@@ -2011,60 +2011,60 @@ cdef class _Period(PeriodMixin):
 
     @property
     def month(self) -> int:
-    """
-    Return the month this Period falls on.
+        """
+        Return the month this Period falls on.
 
-    Parameters
-    ----------
-    None
+        Parameters
+        ----------
+        None
 
-    Returns
-    -------
-    int : The month number of the Period.
+        Returns
+        -------
+        int : The month number of the Period.
 
-    See Also
-    --------
-    period.week : Get the week of the year on the given Period.
-    Period.year : Return the year this Period falls on.
-    Period.day : Return the day of the month this Period falls on.
+        See Also
+        --------
+        period.week : Get the week of the year on the given Period.
+        Period.year : Return the year this Period falls on.
+        Period.day : Return the day of the month this Period falls on.
 
 
-    Examples
-    --------
-    Create a Period object for January 2022 and get the month:
+        Examples
+        --------
+        Create a Period object for January 2022 and get the month:
 
-    >>> period = pd.Period('2022-01', 'M')
-    >>> period.month
-    1
+        >>> period = pd.Period('2022-01', 'M')
+        >>> period.month
+        1
 
-    Create a Period object with no specified frequency, resulting in a default frequency:
+        Create a Period object with no specified frequency, resulting in a default frequency:
 
-    >>> period = pd.Period('2022', 'Y')
-    >>> period.month
-    12
+        >>> period = pd.Period('2022', 'Y')
+        >>> period.month
+        12
 
-    Create a Period object with a specified frequency but an incomplete date string:
+        Create a Period object with a specified frequency but an incomplete date string:
 
-    >>> period = pd.Period('2022', 'M')
-    >>> period.month
-    1
+        >>> period = pd.Period('2022', 'M')
+        >>> period.month
+        1
 
-    Handle a case where the Period object is invalid or empty, which results in `NaN`:
+        Handle a case where the Period object is invalid or empty, which results in `NaN`:
 
-    >>> period = pd.Period('nan', 'M')
-    >>> period.month
-    nan
+        >>> period = pd.Period('nan', 'M')
+        >>> period.month
+        nan
 
-    Handle a case where the Period object is invalid or empty, which results in `NaN`:
+        Handle a case where the Period object is invalid or empty, which results in `NaN`:
 
-    >>> period = pd.Period('nan', 'M')
-    >>> period.month
-    nan
+        >>> period = pd.Period('nan', 'M')
+        >>> period.month
+        nan
 
-    Notes
-    -----
-    The month is determined based on the `ordinal` and `base` attributes of the Period.
-    """
+        Notes
+        -----
+        The month is determined based on the `ordinal` and `base` attributes of the Period.
+        """
 
         base = self._dtype._dtype_code
         return pmonth(self.ordinal, base)