[GitHub] [beam] TheNeuralBit commented on a change in pull request #15078: [BEAM-9547] Add support for xs on DataFrame and Series

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

TheNeuralBit commented on a change in pull request #15078:
URL: https://github.com/apache/beam/pull/15078#discussion_r658985643



##########
File path: sdks/python/apache_beam/dataframe/frames.py
##########
@@ -869,6 +869,67 @@ def mask(self, cond, **kwargs):
     """mask is not parallelizable when ``errors="ignore"`` is specified."""
     return self.where(~cond, **kwargs)
 
+  @frame_base.with_docs_from(pd.DataFrame)
+  @frame_base.args_to_kwargs(pd.DataFrame)
+  @frame_base.populate_defaults(pd.DataFrame)
+  def xs(self, key, axis, level, **kwargs):
+    """Note that ``xs(axis='index')`` will raise a ``KeyError`` at execution
+    time if the key does not exist in the index."""
+
+    if axis in ('columns', 1):
+      return frame_base.DeferredFrame.wrap(
+          expressions.ComputedExpression(
+              'xs',
+              lambda df: df.xs(key, axis=axis, **kwargs), [self._expr],
+              requires_partition_by=partitionings.Arbitrary(),
+              preserves_partition_by=partitionings.Arbitrary()))
+    elif axis not in ('index', 0):
+      raise ValueError(

Review comment:
       Done




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