DOC: Fixing EX01 - Added examples

ci/code_checks.sh

@@ -64,7 +64,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
     MSG='Partially validate docstrings (EX01)' ;  echo $MSG
     $BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=EX01 --ignore_functions \
         pandas.errors.IncompatibilityWarning \
-        pandas.errors.NoBufferPresent \
         pandas.errors.OptionError \
         pandas.errors.PerformanceWarning \
         pandas.errors.PyperclipException \
@@ -78,13 +77,14 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.io.stata.StataWriter.write_file \
         pandas.plotting.deregister_matplotlib_converters \
         pandas.plotting.register_matplotlib_converters \
+        pandas.api.indexers.BaseIndexer \
+        pandas.api.indexers.VariableOffsetWindowIndexer \
         pandas.util.hash_array \
         pandas.util.hash_pandas_object \
         pandas_object \
         pandas.api.extensions.ExtensionDtype \
         pandas.api.extensions.ExtensionArray \
         pandas.arrays.NumpyExtensionArray \
-        pandas.api.extensions.ExtensionArray._concat_same_type \
         pandas.api.extensions.ExtensionArray._formatter \
         pandas.api.extensions.ExtensionArray._from_factorized \
         pandas.api.extensions.ExtensionArray._from_sequence \
@@ -93,7 +93,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.api.extensions.ExtensionArray._reduce \
         pandas.api.extensions.ExtensionArray._values_for_factorize \
         pandas.api.extensions.ExtensionArray.interpolate \
-        pandas.api.extensions.ExtensionArray.ravel \
     RET=$(($RET + $?)) ; echo $MSG "DONE"
 
 fi

pandas/core/arrays/base.py

@@ -1565,6 +1565,13 @@ def ravel(self, order: Literal["C", "F", "A", "K"] | None = "C") -> ExtensionArr
         -----
         - Because ExtensionArrays are 1D-only, this is a no-op.
         - The "order" argument is ignored, is for compatibility with NumPy.
+
+        Examples
+        --------
+        >>> pd.array([1, 2, 3]).ravel()
+        <IntegerArray>
+        [1, 2, 3]
+        Length: 3, dtype: Int64
         """
         return self
 
@@ -1580,6 +1587,15 @@ def _concat_same_type(cls, to_concat: Sequence[Self]) -> Self:
         Returns
         -------
         ExtensionArray
+
+        Examples
+        --------
+        >>> arr1 = pd.array([1, 2, 3])
+        >>> arr2 = pd.array([4, 5, 6])
+        >>> pd.arrays.IntegerArray._concat_same_type([arr1, arr2])
+        <IntegerArray>
+        [1, 2, 3, 4, 5, 6]
+        Length: 6, dtype: Int64
         """
         # Implementer note: this method will only be called with a sequence of
         # ExtensionArrays of this class and with the same dtype as self. This

pandas/core/util/hashing.py

@@ -106,6 +106,14 @@ def hash_pandas_object(
     Returns
     -------
     Series of uint64, same length as the object
+
+    Examples
+    --------
+    >>> pd.util.hash_pandas_object(pd.Series([1, 2, 3]))
+    0    14639053686158035780
+    1     3869563279212530728
+    2      393322362522515241
+    dtype: uint64
     """
     from pandas import Series
 
@@ -246,6 +254,12 @@ def hash_array(
     -------
     ndarray[np.uint64, ndim=1]
         Hashed values, same length as the vals.
+
+    Examples
+    --------
+    >>> pd.util.hash_array(np.array([1, 2, 3]))
+    array([ 6238072747940578789, 15839785061582574730,  2185194620014831856],
+      dtype=uint64)
     """
     if not hasattr(vals, "dtype"):
         raise TypeError("must pass a ndarray-like")

scripts/validate_docstrings.py

@@ -51,6 +51,7 @@
     "Styler.loader",
     "errors.InvalidComparison",
     "errors.LossySetitemError",
+    "errors.NoBufferPresent",
 }
 PRIVATE_CLASSES = ["NDFrame", "IndexOpsMixin"]
 ERROR_MSGS = {