DOC: Fix Numpy Docstring errors in pandas.api.extensions.ExtensionArray (#59605)

* fix duplicated

* fix fillna

* fix insert

* fix isin

* fix tolist

* fix unique

* fix view

---------

Co-authored-by: Abhinav Thimma <athimma2@illinois.edu>

Author: abhinav-thimma

ci/code_checks.sh

@@ -173,14 +173,7 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Timestamp.tzinfo GL08" \
         -i "pandas.Timestamp.value GL08" \
         -i "pandas.Timestamp.year GL08" \
-        -i "pandas.api.extensions.ExtensionArray.duplicated RT03,SA01" \
-        -i "pandas.api.extensions.ExtensionArray.fillna SA01" \
-        -i "pandas.api.extensions.ExtensionArray.insert PR07,RT03,SA01" \
         -i "pandas.api.extensions.ExtensionArray.interpolate PR01,SA01" \
-        -i "pandas.api.extensions.ExtensionArray.isin PR07,RT03,SA01" \
-        -i "pandas.api.extensions.ExtensionArray.tolist RT03,SA01" \
-        -i "pandas.api.extensions.ExtensionArray.unique RT03,SA01" \
-        -i "pandas.api.extensions.ExtensionArray.view SA01" \
         -i "pandas.api.interchange.from_dataframe RT03,SA01" \
         -i "pandas.api.types.is_bool PR01,SA01" \
         -i "pandas.api.types.is_categorical_dtype SA01" \

pandas/core/arrays/base.py

@@ -1137,6 +1137,13 @@ def fillna(
         ExtensionArray
             With NA/NaN filled.
 
+        See Also
+        --------
+        api.extensions.ExtensionArray.dropna : Return ExtensionArray without
+            NA values.
+        api.extensions.ExtensionArray.isna : A 1-D array indicating if
+            each value is missing.
+
         Examples
         --------
         >>> arr = pd.array([np.nan, np.nan, 2, 3, np.nan, np.nan])
@@ -1220,6 +1227,15 @@ def duplicated(
         Returns
         -------
         ndarray[bool]
+            With true in indices where elements are duplicated and false otherwise.
+
+        See Also
+        --------
+        DataFrame.duplicated : Return boolean Series denoting
+            duplicate rows.
+        Series.duplicated : Indicate duplicate Series values.
+        api.extensions.ExtensionArray.unique : Compute the ExtensionArray
+            of unique values.
 
         Examples
         --------
@@ -1303,6 +1319,13 @@ def unique(self) -> Self:
         Returns
         -------
         pandas.api.extensions.ExtensionArray
+            With unique values from the input array.
+
+        See Also
+        --------
+        Index.unique: Return unique values in the index.
+        Series.unique: Return unique values of Series object.
+        unique: Return unique values based on a hash table.
 
         Examples
         --------
@@ -1436,10 +1459,18 @@ def isin(self, values: ArrayLike) -> npt.NDArray[np.bool_]:
         Parameters
         ----------
         values : np.ndarray or ExtensionArray
+            Values to compare every element in the array against.
 
         Returns
         -------
         np.ndarray[bool]
+            With true at indices where value is in `values`.
+
+        See Also
+        --------
+        DataFrame.isin: Whether each element in the DataFrame is contained in values.
+        Index.isin: Return a boolean array where the index values are in values.
+        Series.isin: Whether elements in Series are contained in values.
 
         Examples
         --------
@@ -1743,6 +1774,12 @@ def view(self, dtype: Dtype | None = None) -> ArrayLike:
         ExtensionArray or np.ndarray
             A view on the :class:`ExtensionArray`'s data.
 
+        See Also
+        --------
+        api.extensions.ExtensionArray.ravel: Return a flattened view on input array.
+        Index.view: Equivalent function for Index.
+        ndarray.view: New view of array with the same data.
+
         Examples
         --------
         This gives view on the underlying data of an ``ExtensionArray`` and is not a
@@ -2201,6 +2238,12 @@ def tolist(self) -> list:
         Returns
         -------
         list
+            Python list of values in array.
+
+        See Also
+        --------
+        Index.to_list: Return a list of the values in the Index.
+        Series.to_list: Return a list of the values in the Series.
 
         Examples
         --------
@@ -2223,11 +2266,18 @@ def insert(self, loc: int, item) -> Self:
         Parameters
         ----------
         loc : int
+            Index where the `item` needs to be inserted.
         item : scalar-like
+            Value to be inserted.
 
         Returns
         -------
-        same type as self
+        ExtensionArray
+            With `item` inserted at `loc`.
+
+        See Also
+        --------
+        Index.insert: Make new Index inserting new item at location.
 
         Notes
         -----