more misc changes

Author: jorisvandenbossche

pandas/core/groupby/groupby.py

@@ -4628,13 +4628,13 @@ def ngroup(self, ascending: bool = True):
         --------
         >>> df = pd.DataFrame({"color": ["red", None, "red", "blue", "blue", "red"]})
         >>> df
-           color
-        0    red
-        1   None
-        2    red
-        3   blue
-        4   blue
-        5    red
+          color
+        0   red
+        1   NaN
+        2   red
+        3  blue
+        4  blue
+        5   red
         >>> df.groupby("color").ngroup()
         0    1.0
         1    NaN

pandas/core/indexes/base.py

@@ -7599,7 +7599,7 @@ def ensure_index(index_like: Axes, copy: bool = False) -> Index:
     Examples
     --------
     >>> ensure_index(["a", "b"])
-    Index(['a', 'b'], dtype='object')
+    Index(['a', 'b'], dtype='str')
 
     >>> ensure_index([("a", "a"), ("b", "c")])
     Index([('a', 'a'), ('b', 'c')], dtype='object')

pandas/core/interchange/from_dataframe.py

@@ -77,7 +77,7 @@ def from_dataframe(df, allow_copy: bool = True) -> pd.DataFrame:
     >>> df_not_necessarily_pandas = pd.DataFrame({"A": [1, 2], "B": [3, 4]})
     >>> interchange_object = df_not_necessarily_pandas.__dataframe__()
     >>> interchange_object.column_names()
-    Index(['A', 'B'], dtype='object')
+    Index(['A', 'B'], dtype='str')
     >>> df_pandas = pd.api.interchange.from_dataframe(
     ...     interchange_object.select_columns_by_name(["A"])
     ... )