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https://issues.apache.org/jira/browse/BEAM-9547?focusedWorklogId=505847&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-505847
 ]

ASF GitHub Bot logged work on BEAM-9547:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 28/Oct/20 18:20
            Start Date: 28/Oct/20 18:20
    Worklog Time Spent: 10m 
      Work Description: robertwb commented on a change in pull request #13141:
URL: https://github.com/apache/beam/pull/13141#discussion_r513666115



##########
File path: sdks/python/apache_beam/dataframe/frames.py
##########
@@ -575,6 +575,8 @@ def __setitem__(self, key, value):
     else:
       raise NotImplementedError(key)
 
+  align = frame_base._elementwise_method('align')

Review comment:
       Good call. Done.

##########
File path: sdks/python/apache_beam/dataframe/frames.py
##########
@@ -771,6 +773,62 @@ def fill_matrix(*args):
               requires_partition_by=partitionings.Singleton(),
               proxy=proxy))
 
+  @frame_base.args_to_kwargs(pd.DataFrame)
+  @frame_base.populate_defaults(pd.DataFrame)
+  def corrwith(self, other, axis, **kwargs):
+    if axis not in (0, 'index'):
+      raise NotImplementedError('corrwith(axis=%r)' % axis)
+    if not isinstance(other, frame_base.DeferredFrame):
+      other = frame_base.DeferredFrame.wrap(
+          expressions.ConstantExpression(other))
+
+    if isinstance(other, DeferredSeries):
+      proxy = self._expr.proxy().corrwith(other._expr.proxy())
+      self, other = self.align(other, axis=0, join='inner')
+      corrs = [self[col].corr(other, **kwargs) for col in proxy.index]
+      def fill_dataframe(*args):
+        result = proxy.copy(deep=True)
+        for col, value in zip(proxy.index, args):
+          result[col] = value
+        return result
+      with expressions.allow_non_parallel_operations(True):
+        return frame_base.DeferredFrame.wrap(
+          expressions.ComputedExpression(
+            'fill_dataframe',
+            fill_dataframe,
+            [corr._expr for corr in corrs],
+            requires_partition_by=partitionings.Singleton(),
+            proxy=proxy))
+
+    elif isinstance(other, DeferredDataFrame):
+      proxy = self._expr.proxy().corrwith(other._expr.proxy())
+      self, other = self.align(other, axis=0, join='inner')
+      valid_cols = list(
+          set(self.columns)
+          .intersection(other.columns)
+          .intersection(proxy.index))
+      corrs = [self[col].corr(other[col], **kwargs) for col in valid_cols]
+      def fill_dataframe(*args):
+        result = proxy.copy(deep=True)
+        for col, value in zip(valid_cols, args):
+          result[col] = value
+        return result
+      with expressions.allow_non_parallel_operations(True):
+        return frame_base.DeferredFrame.wrap(
+          expressions.ComputedExpression(
+            'fill_dataframe',
+            fill_dataframe,
+            [corr._expr for corr in corrs],
+            requires_partition_by=partitionings.Singleton(),
+            proxy=proxy))

Review comment:
       I've consolidated them now.

##########
File path: sdks/python/apache_beam/dataframe/frames.py
##########
@@ -771,6 +773,62 @@ def fill_matrix(*args):
               requires_partition_by=partitionings.Singleton(),
               proxy=proxy))
 
+  @frame_base.args_to_kwargs(pd.DataFrame)
+  @frame_base.populate_defaults(pd.DataFrame)
+  def corrwith(self, other, axis, **kwargs):
+    if axis not in (0, 'index'):
+      raise NotImplementedError('corrwith(axis=%r)' % axis)
+    if not isinstance(other, frame_base.DeferredFrame):
+      other = frame_base.DeferredFrame.wrap(
+          expressions.ConstantExpression(other))
+
+    if isinstance(other, DeferredSeries):
+      proxy = self._expr.proxy().corrwith(other._expr.proxy())
+      self, other = self.align(other, axis=0, join='inner')
+      corrs = [self[col].corr(other, **kwargs) for col in proxy.index]

Review comment:
       Resolved. 




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Issue Time Tracking
-------------------

    Worklog Id:     (was: 505847)
    Time Spent: 29h  (was: 28h 50m)

> Implement all pandas operations (or raise WontImplementError)
> -------------------------------------------------------------
>
>                 Key: BEAM-9547
>                 URL: https://issues.apache.org/jira/browse/BEAM-9547
>             Project: Beam
>          Issue Type: Improvement
>          Components: sdk-py-core
>            Reporter: Brian Hulette
>            Assignee: Robert Bradshaw
>            Priority: P2
>          Time Spent: 29h
>  Remaining Estimate: 0h
>
> We should have an implementation for every DataFrame, Series, and GroupBy 
> method. Everything that's not actually implemented should get a default 
> implementation that raises WontImplementError
> SeeĀ https://github.com/apache/beam/pull/10757#discussion_r389132292
> Progress at the individual operation level is tracked in a 
> [spreadsheet|https://docs.google.com/spreadsheets/d/1hHAaJ0n0k2tw465ORs5tfdy4Lg0DnGWIQ53cLjAhel0/edit],
>  consider requesting edit access if you'd like to help out.



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