DOC: shift() of boolean series gives drawdown by an order of magnitude with default filling np.NaN comparing with filling by bool like False (pandas-dev#58588)

Documentation fix in `generic.py`
line 11715:  For numeric data, ``np.nan`` is used. ->For Boolean and numeric NumPy data types, ``np.nan`` is used.

Author: SongYeongEng

pandas/core/generic.py

@@ -10052,7 +10052,7 @@ def shift(
         fill_value : object, optional
             The scalar value to use for newly introduced missing values.
             the default depends on the dtype of `self`.
-            For numeric data, ``np.nan`` is used.
+            For Boolean and numeric NumPy data types, ``np.nan`` is used.
             For datetime, timedelta, or period data, etc. :attr:`NaT` is used.
             For extension dtypes, ``self.dtype.na_value`` is used.
         suffix : str, optional