cloud-fan commented on a change in pull request #27109: 
[SPARK-30434][PYTHON][SQL] Move pandas related functionalities into 'pandas' 
sub-package
URL: https://github.com/apache/spark/pull/27109#discussion_r363594444
 
 

 ##########
 File path: python/pyspark/sql/dataframe.py
 ##########
 @@ -31,23 +31,23 @@
 
 from pyspark import copy_func, since, _NoValue
 from pyspark.rdd import RDD, _load_from_socket, _local_iterator_from_socket, \
-    ignore_unicode_prefix, PythonEvalType
-from pyspark.serializers import ArrowCollectSerializer, BatchedSerializer, 
PickleSerializer, \
+    ignore_unicode_prefix
+from pyspark.serializers import BatchedSerializer, PickleSerializer, \
     UTF8Deserializer
 from pyspark.storagelevel import StorageLevel
 from pyspark.traceback_utils import SCCallSiteSync
 from pyspark.sql.types import _parse_datatype_json_string
 from pyspark.sql.column import Column, _to_seq, _to_list, _to_java_column
 from pyspark.sql.readwriter import DataFrameWriter
 from pyspark.sql.streaming import DataStreamWriter
-from pyspark.sql.types import IntegralType
 from pyspark.sql.types import *
-from pyspark.util import _exception_message
+from pyspark.sql.pandas.conversion import PandasConversionMixin
+from pyspark.sql.pandas.map_ops import PandasMapOpsMixin
 
 __all__ = ["DataFrame", "DataFrameNaFunctions", "DataFrameStatFunctions"]
 
 
-class DataFrame(object):
+class DataFrame(PandasMapOpsMixin, PandasConversionMixin):
 
 Review comment:
   I think both are fine. It's internal so we can change it later. To save the 
effort, let's keep what it is in this PR, i.e. the second option.

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