roger-mike commented on a change in pull request #16256:
URL: https://github.com/apache/beam/pull/16256#discussion_r779168377
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File path: sdks/python/apache_beam/dataframe/frames_test.py
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@@ -1245,6 +1245,39 @@ def test_idxmax(self):
self._run_test(lambda s2: s2.idxmax(), s2)
self._run_test(lambda s2: s2.idxmax(skipna=False), s2)
+ def test_pipe(self):
+ def df_times(df, column, times):
+ df[column] = df[column] * times
+ return df
+
+ def df_times_shuffled(column, times, df):
+ return df_times(df, column, times)
+
+ def s_times(s, times):
+ return s * times
+
+ def s_times_shuffled(times, s):
+ return s_times(s, times)
+
+ df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}, index=[0, 1, 2])
+ s = pd.Series([1, 2, 3, 4, 5], index=[0, 1, 2, 3, 4])
+ # s2 = pd.Series([6, 7], index=[5, 6])
+
+ func_1 = df_times
+ func_2 = s_times
+ # func_3 = frames.DeferredSeries.append #pd.Series.append
+ func_4 = df_times_shuffled
+ func_5 = s_times_shuffled
+
+ self._run_inplace_test(lambda df: df.pipe(func_1, 'A', 2), df)
+ self._run_inplace_test(lambda df: df.pipe((func_4, 'df'), 'A', 2), df)
+
+ self._run_test(lambda s: s.pipe(func_2, 2), s)
+ self._run_test(lambda s: s.pipe((func_5, 's'), 2), s)
+
+ # self._run_test(lambda s, s2: s.append(s2).pipe(func_2, 2), s, s2)
+ # self._run_test(lambda s, s2: s.pipe(func_3, s2).pipe(func_2, 2), s, s2)
Review comment:
Not sure if it's the expected behavior but this test doesn't work when
using either `frames.DeferredSeries.append` or `pd.Series.append` as `func_3`.
When using the first one it says that only accepts `DeferredSeries`
instances, and when using the latter it says only accepts `Series` instances.
Is this test relevant or should it be skippped?
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