fix ERROR: Unexpected indentation

Author: cloudboat

pandas/core/indexes/datetimelike.py

@@ -182,23 +182,30 @@ def asi8(self) -> npt.NDArray[np.int64]:
     def freqstr(self) -> str:
         """
         Return the frequency object as a string if it's set, otherwise None.
+
         See Also
         --------
         DatetimeIndex.inferred_freq : Returns a string representing a frequency
             generated by infer_freq.
+
         Examples
         --------
         For DatetimeIndex:
+
         >>> idx = pd.DatetimeIndex(["1/1/2020 10:00:00+00:00"], freq="D")
         >>> idx.freqstr
         'D'
+
         The frequency can be inferred if there are more than 2 points:
+
         >>> idx = pd.DatetimeIndex(
         ...     ["2018-01-01", "2018-01-03", "2018-01-05"], freq="infer"
         ... )
         >>> idx.freqstr
         '2D'
+
         For PeriodIndex:
+
         >>> idx = pd.PeriodIndex(["2023-1", "2023-2", "2023-3"], freq="M")
         >>> idx.freqstr
         'M'
@@ -269,22 +276,27 @@ def equals(self, other: Any) -> bool:
     def __contains__(self, key: Any) -> bool:
         """
         Return a boolean indicating whether the provided key is in the index.
+
         Parameters
         ----------
         key : label
             The key to check if it is present in the index.
+
         Returns
         -------
         bool
             Whether the key search is in the index.
+
         Raises
         ------
         TypeError
             If the key is not hashable.
+
         See Also
         --------
         Index.isin : Returns an ndarray of boolean dtype indicating whether the
             list-like key is in the index.
+
         Examples
         --------
         >>> idx = pd.Index([1, 2, 3, 4])
@@ -340,10 +352,12 @@ def _format_attrs(self):
     def _summary(self, name=None) -> str:
         """
         Return a summarized representation.
+
         Parameters
         ----------
         name : str
             name to use in the summary representation
+
         Returns
         -------
         String with a summarized representation of the index
@@ -607,6 +621,7 @@ def shift(self, periods: int = 1, freq=None) -> Self:
         Shift index by desired number of time frequency increments.
         This method is for shifting the values of datetime-like indexes
         by a specified time increment a given number of times.
+
         Parameters
         ----------
         periods : int, default 1
@@ -616,10 +631,12 @@ def shift(self, periods: int = 1, freq=None) -> Self:
             Frequency increment to shift by.
             If None, the index is shifted by its own `freq` attribute.
             Offset aliases are valid strings, e.g., 'D', 'W', 'M' etc.
+
         Returns
         -------
         pandas.DatetimeIndex
             Shifted index.
+
         See Also
         --------
         Index.shift : Shift values of Index.
@@ -654,10 +671,12 @@ def inferred_freq(self) -> str | None:
         """
         Tries to return a string representing a frequency generated by infer_freq.
         Returns None if it can't autodetect the frequency.
+
         See Also
         --------
         DatetimeIndex.freqstr : Return the frequency object as a string if it's set,
             otherwise None.
+
         Examples
         --------
         For DatetimeIndex: