[GitHub] [beam] TheNeuralBit commented on a change in pull request #10760: [BEAM-9545] Dataframe transforms

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TheNeuralBit commented on a change in pull request #10760: [BEAM-9545] Dataframe transforms
URL: https://github.com/apache/beam/pull/10760#discussion_r394602286
 
 

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 File path: sdks/python/apache_beam/dataframe/transforms.py
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+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import absolute_import
+
+import pandas as pd
+
+import apache_beam as beam
+from apache_beam import transforms
+from apache_beam.dataframe import expressions
+from apache_beam.dataframe import frame_base
+
+
+class DataframeTransform(transforms.PTransform):
+  """A PTransform for applying function that takes and returns dataframes
+  to one or more PCollections.
+
+  For example, if pcoll is a PCollection of dataframes, one could write::
+
+      pcoll | DataframeTransform(lambda df: df.group_by('key').sum())
 
 Review comment:
   Would this example work? It doesn't set the `proxy` argument.

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