[GitHub] [beam] TheNeuralBit commented on a change in pull request #15073: [BEAM-12529] Allow converting arbitrary pandas dtypes back to Python types by shunting typehint to Any

[GitBox <gi...@apache.org>]

TheNeuralBit commented on a change in pull request #15073:
URL: https://github.com/apache/beam/pull/15073#discussion_r660723890



##########
File path: sdks/python/apache_beam/dataframe/schemas_test.py
##########
@@ -290,6 +290,29 @@ def test_unbatch_include_index_column_conflict_raises(self):
       with self.assertRaisesRegex(ValueError, 'foo'):
         _ = pc | schemas.UnbatchPandas(proxy, include_indexes=True)
 
+  def test_unbatch_datetime(self):
+
+    s = pd.Series(
+        pd.date_range(
+            '1/1/2000', periods=100, freq='m', tz='America/Los_Angeles'))
+    proxy = s[:0]
+
+    with TestPipeline() as p:
+      res = (
+          p | beam.Create([s[::2], s[1::2]])
+          | schemas.UnbatchPandas(proxy, include_indexes=True))
+
+      assert_that(
+          res,
+          equal_to(
+              list(

Review comment:
       Good point, done




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