diff --git a/python/pyspark/sql/connect/column.py b/python/pyspark/sql/connect/column.py
index d26283571cc9..d2c334ae67f7 100644
--- a/python/pyspark/sql/connect/column.py
+++ b/python/pyspark/sql/connect/column.py
@@ -439,9 +439,6 @@ def _test() -> None:
             .getOrCreate()
         )
 
-        # Spark Connect has a different string representation for Column.
-        del pyspark.sql.connect.column.Column.getItem.__doc__
-
         # TODO(SPARK-41772): Enable pyspark.sql.connect.column.Column.withField doctest
         del pyspark.sql.connect.column.Column.withField.__doc__
 
diff --git a/python/pyspark/sql/connect/readwriter.py b/python/pyspark/sql/connect/readwriter.py
index 8e8f4476799a..4643da317d07 100644
--- a/python/pyspark/sql/connect/readwriter.py
+++ b/python/pyspark/sql/connect/readwriter.py
@@ -616,12 +616,8 @@ def _test() -> None:
         globs = pyspark.sql.connect.readwriter.__dict__.copy()
 
         # TODO(SPARK-41817): Support reading with schema
-        del pyspark.sql.connect.readwriter.DataFrameReader.load.__doc__
         del pyspark.sql.connect.readwriter.DataFrameReader.option.__doc__
-        del pyspark.sql.connect.readwriter.DataFrameReader.text.__doc__
-        del pyspark.sql.connect.readwriter.DataFrameWriter.csv.__doc__
         del pyspark.sql.connect.readwriter.DataFrameWriter.option.__doc__
-        del pyspark.sql.connect.readwriter.DataFrameWriter.text.__doc__
         del pyspark.sql.connect.readwriter.DataFrameWriter.bucketBy.__doc__
         del pyspark.sql.connect.readwriter.DataFrameWriter.sortBy.__doc__
 
diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py
index 09a5e9d0b07d..f45b0d70e996 100644
--- a/python/pyspark/sql/dataframe.py
+++ b/python/pyspark/sql/dataframe.py
@@ -506,7 +506,7 @@ def write(self) -> DataFrameWriter:
         --------
         >>> df = spark.createDataFrame([(2, "Alice"), (5, "Bob")], schema=["age", "name"])
         >>> type(df.write)
-        <class 'pyspark.sql.readwriter.DataFrameWriter'>
+        <class '...readwriter.DataFrameWriter'>
 
         Write the DataFrame as a table.
 
diff --git a/python/pyspark/sql/tests/connect/test_parity_datasources.py b/python/pyspark/sql/tests/connect/test_parity_datasources.py
index db1bba8de10e..9d4ab151542b 100644
--- a/python/pyspark/sql/tests/connect/test_parity_datasources.py
+++ b/python/pyspark/sql/tests/connect/test_parity_datasources.py
@@ -22,12 +22,6 @@
 
 
 class DataSourcesParityTests(DataSourcesTestsMixin, ReusedConnectTestCase):
-
-    # TODO(SPARK-42011): Implement DataFrameReader.csv
-    @unittest.skip("Fails in Spark Connect, should enable.")
-    def test_checking_csv_header(self):
-        super().test_checking_csv_header()
-
     @unittest.skip("Spark Connect does not support RDD but the tests depend on them.")
     def test_csv_sampling_ratio(self):
         super().test_csv_sampling_ratio()
@@ -36,16 +30,6 @@ def test_csv_sampling_ratio(self):
     def test_json_sampling_ratio(self):
         super().test_json_sampling_ratio()
 
-    # TODO(SPARK-42011): Implement DataFrameReader.csv
-    @unittest.skip("Fails in Spark Connect, should enable.")
-    def test_multiline_csv(self):
-        super().test_multiline_csv()
-
-    # TODO(SPARK-42012): Implement DataFrameReader.orc
-    @unittest.skip("Fails in Spark Connect, should enable.")
-    def test_read_multiple_orc_file(self):
-        super().test_read_multiple_orc_file()
-
 
 if __name__ == "__main__":
     import unittest