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Author: pre-commit-ci[bot]

pandas/core/arrays/boolean.py

@@ -41,59 +41,59 @@
 @register_extension_dtype
 class BooleanDtype(BaseMaskedDtype):
     """
-    Extension dtype for boolean data, with support for missing values.
+     Extension dtype for boolean data, with support for missing values.
+
+     BooleanDtype is used to represent boolean data (True/False), with the ability to
+     handle missing (NA) values through pandas' extension dtype system. This allows
+     for efficient storage, computation, and interoperability with nullable boolean
+     arrays in pandas objects.
+
+     .. warning::
+
+     BooleanDtype is considered experimental. The implementation and
+     parts of the API may change without warning.
+
+     Attributes
+     ----------
+     name : str
+         String identifying the dtype ('boolean').
+     kind : str
+         The kind of data ('b' for boolean).
+     numpy_dtype : numpy.dtype
+         The underlying NumPy dtype used ('bool').
+     type : type
+         The scalar type for elements of this dtype (np.bool_).
+
+
+     See Also
+     --------
+     BooleanArray : Extension array for boolean data with missing values.
+     StringDtype : Extension dtype for string data.
+     array : Create a pandas array with a specific dtype.
+     Series : One-dimensional ndarray with axis labels.
+     DataFrame : Two-dimensional, size-mutable, tabular data.
 
-    BooleanDtype is used to represent boolean data (True/False), with the ability to
-    handle missing (NA) values through pandas' extension dtype system. This allows
-    for efficient storage, computation, and interoperability with nullable boolean
-    arrays in pandas objects.
-
-    .. warning::
-
-    BooleanDtype is considered experimental. The implementation and
-    parts of the API may change without warning.
-
-    Attributes
-    ----------
-    name : str
-        String identifying the dtype ('boolean').
-    kind : str
-        The kind of data ('b' for boolean).
-    numpy_dtype : numpy.dtype
-        The underlying NumPy dtype used ('bool').
-    type : type
-        The scalar type for elements of this dtype (np.bool_).
-
-
-    See Also
-    --------
-    BooleanArray : Extension array for boolean data with missing values.
-    StringDtype : Extension dtype for string data.
-    array : Create a pandas array with a specific dtype.
-    Series : One-dimensional ndarray with axis labels.
-    DataFrame : Two-dimensional, size-mutable, tabular data.
-
-   Examples
-    --------
-    Create a Series with BooleanDtype:
+    Examples
+     --------
+     Create a Series with BooleanDtype:
 
-    >>> s = pd.Series([True, False, None], dtype='boolean')
-    >>> s
-    0     True
-    1    False
-    2     <NA>
-    dtype: boolean
+     >>> s = pd.Series([True, False, None], dtype="boolean")
+     >>> s
+     0     True
+     1    False
+     2     <NA>
+     dtype: boolean
 
-    You can construct BooleanDtype directly:
+     You can construct BooleanDtype directly:
 
-    >>> pd.BooleanDtype()
-    BooleanDtype
+     >>> pd.BooleanDtype()
+     BooleanDtype
 
-    Check that a Series has BooleanDtype:
+     Check that a Series has BooleanDtype:
 
-    >>> s.dtype
-    BooleanDtype
-"""
+     >>> s.dtype
+     BooleanDtype
+    """
 
     name: ClassVar[str] = "boolean"