DOC: fix EX03 errors in docstrings - pandas.Series.plot.line, pandas.Series.to_sql, pandas.read_json, pandas.DataFrame.to_sql

ci/code_checks.sh

@@ -65,16 +65,8 @@ fi
 ### DOCSTRINGS ###
 if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
 
-    MSG='Validate docstrings (EX01, EX04, GL01, GL02, GL03, GL04, GL05, GL06, GL07, GL09, GL10, PR03, PR04, PR05, PR06, PR08, PR09, PR10, RT01, RT02, RT04, RT05, SA02, SA03, SA04, SS01, SS02, SS03, SS04, SS05, SS06)' ; echo $MSG
-    $BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=EX01,EX04,GL01,GL02,GL03,GL04,GL05,GL06,GL07,GL09,GL10,PR03,PR04,PR05,PR06,PR08,PR09,PR10,RT01,RT02,RT04,RT05,SA02,SA03,SA04,SS01,SS02,SS03,SS04,SS05,SS06
-    RET=$(($RET + $?)) ; echo $MSG "DONE"
-
-    MSG='Partially validate docstrings (EX03)' ;  echo $MSG
-    $BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=EX03 --ignore_functions \
-        pandas.Series.plot.line \
-        pandas.Series.to_sql \
-        pandas.read_json \
-        pandas.DataFrame.to_sql # There should be no backslash in the final line, please keep this comment in the last ignored function
+    MSG='Validate docstrings (EX01, EX03, EX04, GL01, GL02, GL03, GL04, GL05, GL06, GL07, GL09, GL10, PR03, PR04, PR05, PR06, PR08, PR09, PR10, RT01, RT02, RT04, RT05, SA02, SA03, SA04, SS01, SS02, SS03, SS04, SS05, SS06)' ; echo $MSG
+    $BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=EX01,EX03,EX04,GL01,GL02,GL03,GL04,GL05,GL06,GL07,GL09,GL10,PR03,PR04,PR05,PR06,PR08,PR09,PR10,RT01,RT02,RT04,RT05,SA02,SA03,SA04,SS01,SS02,SS03,SS04,SS05,SS06
     RET=$(($RET + $?)) ; echo $MSG "DONE"
 
     MSG='Partially validate docstrings (PR02)' ;  echo $MSG

pandas/core/generic.py

@@ -2999,7 +2999,7 @@ def to_sql(
         3
         >>> from sqlalchemy import text
         >>> with engine.connect() as conn:
-        ...    conn.execute(text("SELECT * FROM users")).fetchall()
+        ...     conn.execute(text("SELECT * FROM users")).fetchall()
         [(0, 'User 1'), (1, 'User 2'), (2, 'User 3')]
 
         An `sqlalchemy.engine.Connection` can also be passed to `con`:
@@ -3016,7 +3016,7 @@ def to_sql(
         >>> df2.to_sql(name='users', con=engine, if_exists='append')
         2
         >>> with engine.connect() as conn:
-        ...    conn.execute(text("SELECT * FROM users")).fetchall()
+        ...     conn.execute(text("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')]
@@ -3027,7 +3027,7 @@ def to_sql(
         ...            index_label='id')
         2
         >>> with engine.connect() as conn:
-        ...    conn.execute(text("SELECT * FROM users")).fetchall()
+        ...     conn.execute(text("SELECT * FROM users")).fetchall()
         [(0, 'User 6'), (1, 'User 7')]
 
         Use ``method`` to define a callable insertion method to do nothing
@@ -3040,13 +3040,14 @@ def to_sql(
         ...     stmt = insert(table.table).values(data).on_conflict_do_nothing(index_elements=["a"])
         ...     result = conn.execute(stmt)
         ...     return result.rowcount
-        >>> df_conflict.to_sql(name="conflict_table", con=conn, if_exists="append", method=insert_on_conflict_nothing)  # doctest: +SKIP
+        >>> df_conflict.to_sql(name="conflict_table", con=conn, if_exists="append",  # noqa: F821
+        ...                    method=insert_on_conflict_nothing)  # doctest: +SKIP
         0
 
         For MySQL, a callable to update columns ``b`` and ``c`` if there's a conflict
         on a primary key.
 
-        >>> from sqlalchemy.dialects.mysql import insert
+        >>> from sqlalchemy.dialects.mysql import insert   # noqa: F811
         >>> def insert_on_conflict_update(table, conn, keys, data_iter):
         ...     # update columns "b" and "c" on primary key conflict
         ...     data = [dict(zip(keys, row)) for row in data_iter]
@@ -3057,7 +3058,8 @@ def to_sql(
         ...     stmt = stmt.on_duplicate_key_update(b=stmt.inserted.b, c=stmt.inserted.c)
         ...     result = conn.execute(stmt)
         ...     return result.rowcount
-        >>> df_conflict.to_sql(name="conflict_table", con=conn, if_exists="append", method=insert_on_conflict_update)  # doctest: +SKIP
+        >>> df_conflict.to_sql(name="conflict_table", con=conn, if_exists="append",  # noqa: F821
+        ...                    method=insert_on_conflict_update)  # doctest: +SKIP
         2
 
         Specify the dtype (especially useful for integers with missing values).
@@ -3078,7 +3080,7 @@ def to_sql(
         3
 
         >>> with engine.connect() as conn:
-        ...   conn.execute(text("SELECT * FROM integers")).fetchall()
+        ...     conn.execute(text("SELECT * FROM integers")).fetchall()
         [(1,), (None,), (2,)]
         """  # noqa: E501
         from pandas.io import sql

pandas/io/json/_json.py

@@ -717,7 +717,7 @@ def read_json(
 "data":[["a","b"],["c","d"]]\
 }}\
 '
-    >>> pd.read_json(StringIO(_), orient='split')
+    >>> pd.read_json(StringIO(_), orient='split')  # noqa: F821
           col 1 col 2
     row 1     a     b
     row 2     c     d
@@ -727,7 +727,7 @@ def read_json(
     >>> df.to_json(orient='index')
     '{{"row 1":{{"col 1":"a","col 2":"b"}},"row 2":{{"col 1":"c","col 2":"d"}}}}'
 
-    >>> pd.read_json(StringIO(_), orient='index')
+    >>> pd.read_json(StringIO(_), orient='index')  # noqa: F821
           col 1 col 2
     row 1     a     b
     row 2     c     d
@@ -737,7 +737,7 @@ def read_json(
 
     >>> df.to_json(orient='records')
     '[{{"col 1":"a","col 2":"b"}},{{"col 1":"c","col 2":"d"}}]'
-    >>> pd.read_json(StringIO(_), orient='records')
+    >>> pd.read_json(StringIO(_), orient='records')  # noqa: F821
       col 1 col 2
     0     a     b
     1     c     d