DOC: Explicitly include "private" ExtensionArray methods in API docs

doc/source/reference/extensions.rst

@@ -18,10 +18,44 @@ objects.
    api.extensions.register_series_accessor
    api.extensions.register_index_accessor
    api.extensions.ExtensionDtype
-   api.extensions.ExtensionArray
 
 .. autosummary::
    :toctree: api/
    :template: autosummary/class_without_autosummary.rst
 
+   api.extensions.ExtensionArray
    arrays.PandasArray
+
+.. We need this autosummary so that methods and attributes are generated.
+.. Separate block, since they aren't classes.
+
+   .. autosummary::
+      :toctree: api/
+
+      api.extensions.ExtensionArray._concat_same_type
+      api.extensions.ExtensionArray._formatter
+      api.extensions.ExtensionArray._formatting_values
+      api.extensions.ExtensionArray._from_factorized
+      api.extensions.ExtensionArray._from_sequence
+      api.extensions.ExtensionArray._from_sequence_of_strings
+      api.extensions.ExtensionArray._ndarray_values
+      api.extensions.ExtensionArray._reduce
+      api.extensions.ExtensionArray._values_for_argsort
+      api.extensions.ExtensionArray._values_for_factorize
+      api.extensions.ExtensionArray.argsort
+      api.extensions.ExtensionArray.astype
+      api.extensions.ExtensionArray.copy
+      api.extensions.ExtensionArray.dropna
+      api.extensions.ExtensionArray.factorize
+      api.extensions.ExtensionArray.fillna
+      api.extensions.ExtensionArray.isna
+      api.extensions.ExtensionArray.ravel
+      api.extensions.ExtensionArray.repeat
+      api.extensions.ExtensionArray.searchsorted
+      api.extensions.ExtensionArray.shift
+      api.extensions.ExtensionArray.take
+      api.extensions.ExtensionArray.unique
+      api.extensions.ExtensionArray.dtype
+      api.extensions.ExtensionArray.nbytes
+      api.extensions.ExtensionArray.ndim
+      api.extensions.ExtensionArray.shape

pandas/core/arrays/base.py

@@ -39,6 +39,39 @@ class ExtensionArray:
 
     .. versionadded:: 0.23.0
 
+    Attributes
+    ----------
+    dtype
+    nbytes
+    ndim
+    shape
+
+    Methods
+    -------
+    argsort
+    astype
+    copy
+    dropna
+    factorize
+    fillna
+    isna
+    ravel
+    repeat
+    searchsorted
+    shift
+    take
+    unique
+    _concat_same_type
+    _formatter
+    _formatting_values
+    _from_factorized
+    _from_sequence
+    _from_sequence_of_strings
+    _ndarray_values
+    _reduce
+    _values_for_argsort
+    _values_for_factorize
+
     Notes
     -----
     The interface includes the following abstract methods that must be
@@ -170,7 +203,6 @@ def _from_sequence_of_strings(cls, strings, dtype=None, copy=False):
         Returns
         -------
         ExtensionArray
-
         """
         raise AbstractMethodError(cls)
 
@@ -188,7 +220,7 @@ def _from_factorized(cls, values, original):
 
         See Also
         --------
-        pandas.factorize
+        factorize
         ExtensionArray.factorize
         """
         raise AbstractMethodError(cls)
@@ -654,7 +686,7 @@ def factorize(self, na_sentinel: int = -1) -> Tuple[np.ndarray, ABCExtensionArra
 
         See Also
         --------
-        pandas.factorize : Top-level factorize method that dispatches here.
+        factorize : Top-level factorize method that dispatches here.
 
         Notes
         -----
@@ -778,18 +810,18 @@ def take(
             When `indices` contains negative values other than ``-1``
             and `allow_fill` is True.
 
+        See Also
+        --------
+        numpy.take
+        api.extensions.take
+
         Notes
         -----
         ExtensionArray.take is called by ``Series.__getitem__``, ``.loc``,
         ``iloc``, when `indices` is a sequence of values. Additionally,
         it's called by :meth:`Series.reindex`, or any other method
         that causes realignment, with a `fill_value`.
 
-        See Also
-        --------
-        numpy.take
-        pandas.api.extensions.take
-
         Examples
         --------
         Here's an example implementation, which relies on casting the
@@ -862,7 +894,7 @@ def _formatter(self, boxed: bool = False) -> Callable[[Any], Optional[str]]:
 
         Parameters
         ----------
-        boxed: bool, default False
+        boxed : bool, default False
             An indicated for whether or not your array is being printed
             within a Series, DataFrame, or Index (True), or just by
             itself (False). This may be useful if you want scalar values
@@ -889,6 +921,10 @@ def _formatting_values(self) -> np.ndarray:
         .. deprecated:: 0.24.0
 
            Use :meth:`ExtensionArray._formatter` instead.
+
+        Returns
+        -------
+        array : ndarray
         """
         return np.array(self)
 
@@ -904,6 +940,10 @@ def ravel(self, order="C") -> ABCExtensionArray:
         ----------
         order : {None, 'C', 'F', 'A', 'K'}, default 'C'
 
+        Returns
+        -------
+        ExtensionArray
+
         Notes
         -----
         - Because ExtensionArrays are 1D-only, this is a no-op.
@@ -944,6 +984,10 @@ def _ndarray_values(self) -> np.ndarray:
 
         The expectation is that this is cheap to compute, and is primarily
         used for interacting with our indexers.
+
+        Returns
+        -------
+        array : ndarray
         """
         return np.array(self)
 

pandas/core/indexes/category.py

@@ -306,12 +306,12 @@ def _is_dtype_compat(self, other):
 
     def equals(self, other):
         """
-        Determine if two CategorialIndex objects contain the same elements.
+        Determine if two CategoricalIndex objects contain the same elements.
 
         Returns
         -------
         bool
-            If two CategorialIndex objects have equal elements True,
+            If two CategoricalIndex objects have equal elements True,
             otherwise False.
         """
         if self.is_(other):