Unify explode implementations.

python/cudf/cudf/core/dataframe.py

@@ -5925,7 +5925,7 @@ def explode(self, column, ignore_index=False):
 
         Parameters
         ----------
-        column : str or tuple
+        column : str
             Column to explode.
         ignore_index : bool, default False
             If True, the resulting index will be labeled 0, 1, …, n - 1.
@@ -5960,11 +5960,6 @@ def explode(self, column, ignore_index=False):
         if column not in self._column_names:
             raise KeyError(column)
 
-        if not is_list_dtype(self._data[column].dtype):
-            data = self._data.copy(deep=True)
-            idx = None if ignore_index else self._index.copy(deep=True)
-            return self.__class__._from_data(data, index=idx)
-
         return super()._explode(column, ignore_index)
 
     def pct_change(

python/cudf/cudf/core/frame.py

@@ -589,30 +589,6 @@ def equals(self, other, **kwargs):
         else:
             return self._index.equals(other._index)
 
-    @annotate("FRAME_EXPLODE", color="green", domain="cudf_python")
-    def _explode(self, explode_column: Any, ignore_index: bool):
-        """Helper function for `explode` in `Series` and `Dataframe`, explodes
-        a specified nested column. Other columns' corresponding rows are
-        duplicated. If ignore_index is set, the original index is not exploded
-        and will be replaced with a `RangeIndex`.
-        """
-        explode_column_num = self._column_names.index(explode_column)
-        if not ignore_index and self._index is not None:
-            explode_column_num += self._index.nlevels
-
-        res = self.__class__._from_data(  # type: ignore
-            *libcudf.lists.explode_outer(
-                self, explode_column_num, ignore_index
-            )
-        )
-
-        res._data.multiindex = self._data.multiindex
-        res._data._level_names = self._data._level_names
-
-        if not ignore_index and self._index is not None:
-            res.index.names = self._index.names
-        return res
-
     @annotate(
         "FRAME_GET_COLUMNS_BY_LABEL", color="green", domain="cudf_python"
     )

python/cudf/cudf/core/indexed_frame.py

@@ -24,6 +24,7 @@
     is_bool_dtype,
     is_categorical_dtype,
     is_integer_dtype,
+    is_list_dtype,
     is_list_like,
 )
 from cudf.core.column import ColumnBase
@@ -2163,6 +2164,37 @@ def drop(
         if not inplace:
             return out
 
+    @annotate("INDEXED_FRAME_EXPLODE", color="green", domain="cudf_python")
+    def _explode(self, explode_column: Any, ignore_index: bool):
+        # Helper function for `explode` in `Series` and `Dataframe`, explodes a
+        # specified nested column. Other columns' corresponding rows are
+        # duplicated. If ignore_index is set, the original index is not
+        # exploded and will be replaced with a `RangeIndex`.
+        if not is_list_dtype(self._data[explode_column].dtype):
+            data = self._data.copy(deep=True)
+            idx = None if ignore_index else self._index.copy(deep=True)
+            return self.__class__._from_data(data, index=idx)
+
+        explode_column_num = self._column_names.index(explode_column)
+        if not ignore_index and self._index is not None:
+            explode_column_num += self._index.nlevels
+
+        data, index = libcudf.lists.explode_outer(
+            self, explode_column_num, ignore_index
+        )
+        res = self.__class__._from_data(
+            ColumnAccessor(
+                data,
+                multiindex=self._data.multiindex,
+                level_names=self._data._level_names,
+            ),
+            index=index,
+        )
+
+        if not ignore_index and self._index is not None:
+            res.index.names = self._index.names
+        return res
+
 
 def _check_duplicate_level_names(specified, level_names):
     """Raise if any of `specified` has duplicates in `level_names`."""

python/cudf/cudf/core/series.py

@@ -3150,7 +3150,7 @@ def explode(self, ignore_index=False):
 
         Returns
         -------
-        DataFrame
+        Series
 
         Examples
         --------
@@ -3172,12 +3172,7 @@ def explode(self, ignore_index=False):
         3       5
         dtype: int64
         """
-        if not is_list_dtype(self._column.dtype):
-            data = self._data.copy(deep=True)
-            idx = None if ignore_index else self._index.copy(deep=True)
-            return self.__class__._from_data(data, index=idx)
-
-        return super()._explode(self._column_names[0], ignore_index)
+        return super()._explode(self.name, ignore_index)
 
     def pct_change(
         self, periods=1, fill_method="ffill", limit=None, freq=None