Merging a dask dataframe with a pandas series fails
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评估
调研方向
Reproduce df.merge(df.name.head()) from the issue, then inspect the merge entry point in dask_expr/_collection.py around line 4783. Done means merging the Dask dataframe with the pandas Series no longer raises AttributeError and produces behavior consistent with the shown pandas result.
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描述
In [1]: import dask
In [2]: import dask_expr as dd
...: df = dd.datasets.timeseries()
In [3]: df.head()
Out[3]:
name id x y
timestamp
2000-01-01 00:00:00 Michael 1006 0.927520 -0.442859
2000-01-01 00:00:01 Kevin 1018 -0.411144 -0.037667
2000-01-01 00:00:02 Yvonne 974 -0.648850 -0.515754
2000-01-01 00:00:03 Yvonne 994 0.463103 0.560937
2000-01-01 00:00:04 Yvonne 1002 -0.511311 -0.308211
In [4]: df.merge(df.name.head())
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-4-254398e6f615> in ?()
----> 1 df.merge(df.name.head())
~/workspace/dask-expr/dask_expr/_collection.py in ?(self, right, how, on, left_on, right_on, left_index, right_index, suffixes, indicator, shuffle_method, npartitions, broadcast)
2572 an internal ``shuffle``, because shuffling places all rows that have the same
2573 index in the same partition. To avoid this error, make sure all rows with the
2574 same ``on``-column value can fit on a single partition.
2575 """
-> 2576 return merge(
2577 self,
2578 right,
2579 how,
~/workspace/dask-expr/dask_expr/_collection.py in ?(left, right, how, on, left_on, right_on, left_index, right_index, suffixes, indicator, shuffle_method, npartitions, broadcast)
4779 for o in [on, left_on, right_on]:
4780 if isinstance(o, FrameBase):
4781 raise NotImplementedError()
4782 if not on and not left_on and not right_on and not left_index and not right_index:
-> 4783 on = [c for c in left.columns if c in right.columns]
4784 if not on:
4785 left_index = right_index = True
4786
~/workspace/dask-expr/dask_expr/_collection.py in ?(.0)
-> 4783 def merge(
4784 left,
4785 right,
4786 how="inner",
~/mambaforge/envs/etl-tpch/lib/python3.11/site-packages/pandas/core/generic.py in ?(self, name)
6289 and name not in self._accessors
6290 and self._info_axis._can_hold_identifiers_and_holds_name(name)
6291 ):
6292 return self[name]
-> 6293 return object.__getattribute__(self, name)
AttributeError: 'Series' object has no attribute 'columns'
In [5]: df.head().merge(df.name.head())
Out[5]:
name id x y
0 Michael 1006 0.927520 -0.442859
1 Kevin 1018 -0.411144 -0.037667
2 Yvonne 974 -0.648850 -0.515754
3 Yvonne 974 -0.648850 -0.515754
4 Yvonne 974 -0.648850 -0.515754
5 Yvonne 994 0.463103 0.560937
6 Yvonne 994 0.463103 0.560937
7 Yvonne 994 0.463103 0.560937
8 Yvonne 1002 -0.511311 -0.308211
9 Yvonne 1002 -0.511311 -0.308211
10 Yvonne 1002 -0.511311 -0.308211
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