change comments in core/generic.py

Author: luke

pandas/core/generic.py

@@ -2858,8 +2858,12 @@ def to_sql(
 
         >>> df.to_sql('users', con=engine)
         3
-        >>> engine.execute("SELECT * FROM users").fetchall()
-        [(0, 'User 1'), (1, 'User 2'), (2, 'User 3')]
+        >>> pd.read_sql_query("SELECT * FROM users", con=engine)
+            index    name
+        0      0  User 1
+        1      1  User 2
+        2      2  User 3
+
 
         An `sqlalchemy.engine.Connection` can also be passed to `con`:
 
@@ -2874,18 +2878,25 @@ def to_sql(
         >>> df2 = pd.DataFrame({'name' : ['User 6', 'User 7']})
         >>> df2.to_sql('users', con=engine, if_exists='append')
         2
-        >>> engine.execute("SELECT * FROM users").fetchall()
-        [(0, 'User 1'), (1, 'User 2'), (2, 'User 3'),
-         (0, 'User 4'), (1, 'User 5'), (0, 'User 6'),
-         (1, 'User 7')]
+        >>> pd.read_sql_query("SELECT * FROM users", con=engine)
+            index    name
+        0      0  User 1
+        1      1  User 2
+        2      2  User 3
+        3      0  User 4
+        4      1  User 5
+        5      0  User 6
+        6      1  User 7
 
         Overwrite the table with just ``df2``.
 
         >>> df2.to_sql('users', con=engine, if_exists='replace',
         ...            index_label='id')
         2
-        >>> engine.execute("SELECT * FROM users").fetchall()
-        [(0, 'User 6'), (1, 'User 7')]
+        >>> pd.read_sql_query("SELECT * FROM users", con=engine)
+            index    name
+        0      0  User 6
+        1      1  User 7
 
         Specify the dtype (especially useful for integers with missing values).
         Notice that while pandas is forced to store the data as floating point,
@@ -2904,8 +2915,9 @@ def to_sql(
         ...           dtype={"A": Integer()})
         3
 
-        >>> engine.execute("SELECT * FROM integers").fetchall()
-        [(1,), (None,), (2,)]
+        >>> pd.read_sql("SELECT * FROM integers", con=engine)
+             A
+        0  1.0
         """  # noqa:E501
         from pandas.io import sql