@@ -49,9 +49,8 @@ class BooleanDtype(BaseMaskedDtype):
4949 arrays in pandas objects.
5050
5151 .. warning::
52-
53- BooleanDtype is considered experimental. The implementation and
54- parts of the API may change without warning.
52+ BooleanDtype is considered experimental. The implementation and
53+ parts of the API may change without warning.
5554
5655 Attributes
5756 ----------
@@ -76,6 +75,33 @@ class BooleanDtype(BaseMaskedDtype):
7675 Examples
7776 --------
7877 Create a Series with BooleanDtype:
78+ =======
79+ BooleanDtype is considered experimental. The implementation and
80+ parts of the API may change without warning.
81+
82+ Attributes
83+ ----------
84+ name : str
85+ String identifying the dtype ('boolean').
86+ kind : str
87+ The kind of data ('b' for boolean).
88+ numpy_dtype : numpy.dtype
89+ The underlying NumPy dtype used ('bool').
90+ type : type
91+ The scalar type for elements of this dtype (np.bool_).
92+
93+
94+ See Also
95+ --------
96+ BooleanArray : Extension array for boolean data with missing values.
97+ StringDtype : Extension dtype for string data.
98+ array : Create a pandas array with a specific dtype.
99+ Series : One-dimensional ndarray with axis labels.
100+ DataFrame : Two-dimensional, size-mutable, tabular data.
101+
102+ Examples
103+ --------
104+ Create a Series with BooleanDtype:
79105
80106 >>> s = pd.Series([True, False, None], dtype="boolean")
81107 >>> s
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