https://issues.apache.org/jira/browse/SPARK-36722
https://github.com/apache/spark/pull/33968
On 2021/09/11 10:06:50, Bj��rn J��rgensen wrote:
> Hi I am using "from pyspark import pandas as ps" in a master build yesterday.
> I do have some columns that I need to join to one.
> In pandas I use update.
>
>
> 54 FD_OBJECT_SUPPLIES_SERVICES_OBJECT_SUPPLY_SERVICE_ADDITIONAL_INFORMATION
>
> 23 non-null object
> 55
> FD_OBJECT_SUPPLIES_SERVICES_OBJECT_SUPPLY_SERVICE_ADDITIONAL_INFORMATION.P
>
> 24348 non-null object
>
>
>
> pd1['FD_OBJECT_SUPPLIES_SERVICES_OBJECT_SUPPLY_SERVICE_ADDITIONAL_INFORMATION'].update(pd1['FD_OBJECT_SUPPLIES_SERVICES_OBJECT_SUPPLY_SERVICE_ADDITIONAL_INFORMATION.P'])
>
> ---
> AssertionErrorTraceback (most recent call last)
> /tmp/ipykernel_73/391781247.py in
> > 1
> pd1['FD_OBJECT_SUPPLIES_SERVICES_OBJECT_SUPPLY_SERVICE_ADDITIONAL_INFORMATION'].update(pd1['FD_OBJECT_SUPPLIES_SERVICES_OBJECT_SUPPLY_SERVICE_ADDITIONAL_INFORMATION.P'])
>
> /opt/spark/python/pyspark/pandas/series.py in update(self, other)
>4549 raise TypeError("'other' must be a Series")
>4550
> -> 4551 combined = combine_frames(self._psdf, other._psdf,
> how="leftouter")
>4552
>4553 this_scol =
> combined["this"]._internal.spark_column_for(self._column_label)
>
> /opt/spark/python/pyspark/pandas/utils.py in combine_frames(this, how,
> preserve_order_column, *args)
> 139 elif len(args) == 1 and isinstance(args[0], DataFrame):
> 140 assert isinstance(args[0], DataFrame)
> --> 141 assert not same_anchor(
> 142 this, args[0]
> 143 ), "We don't need to combine. `this` and `that` are same."
>
> AssertionError: We don't need to combine. `this` and `that` are same.
>
>
> pd1.info()
>
> 54 FD_OBJECT_SUPPLIES_SERVICES_OBJECT_SUPPLY_SERVICE_ADDITIONAL_INFORMATION
>
> 23 non-null object
> 55
> FD_OBJECT_SUPPLIES_SERVICES_OBJECT_SUPPLY_SERVICE_ADDITIONAL_INFORMATION.P
>
> 24348 non-null object
>
>
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