[
https://issues.apache.org/jira/browse/BEAM-12945?focusedWorklogId=655022&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-655022
]
ASF GitHub Bot logged work on BEAM-12945:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 24/Sep/21 16:32
Start Date: 24/Sep/21 16:32
Worklog Time Spent: 10m
Work Description: TheNeuralBit commented on pull request #15573:
URL: https://github.com/apache/beam/pull/15573#issuecomment-926766432
R: @ibzib
CC: @robertwb
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Issue Time Tracking
-------------------
Worklog Id: (was: 655022)
Time Spent: 40m (was: 0.5h)
> DataFrame API fails to import with pandas 1.0.x
> -----------------------------------------------
>
> Key: BEAM-12945
> URL: https://issues.apache.org/jira/browse/BEAM-12945
> Project: Beam
> Issue Type: Bug
> Components: dsl-dataframe
> Affects Versions: 2.32.0
> Reporter: Brian Hulette
> Assignee: Brian Hulette
> Priority: P2
> Time Spent: 40m
> Remaining Estimate: 0h
>
> The DataFrame API expects pandas.DataFrame to have the attributes "backfill",
> "bfill", so it fails to import when pandas 1.0.x is installed:
> {code}
> In [1]: import pandas as pd
>
> [11/1919]
>
>
> In [2]: pd.__version__
> Out[2]: '1.0.5'
>
>
> In [3]: from apache_beam.dataframe.convert import to_dataframe
>
> ---------------------------------------------------------------------------
>
> AttributeError Traceback (most recent call last)
>
> <ipython-input-3-26ab6682f699> in <module>
> ----> 1 from apache_beam.dataframe.convert import to_dataframe
>
>
> ~/working_dir/beam/sdks/python/apache_beam/dataframe/convert.py in <module>
>
> 30 from apache_beam.dataframe import frame_base
> 31 from apache_beam.dataframe import schemas
> ---> 32 from apache_beam.dataframe import transforms
> 33
> 34 if TYPE_CHECKING:
> ~/working_dir/beam/sdks/python/apache_beam/dataframe/transforms.py in
> <module>
> 30 from apache_beam import transforms
> 31 from apache_beam.dataframe import expressions
> ---> 32 from apache_beam.dataframe import frames # pylint:
> disable=unused-import
> 33 from apache_beam.dataframe import partitionings
> 34 from apache_beam.utils import windowed_value
> ~/working_dir/beam/sdks/python/apache_beam/dataframe/frames.py in <module>
>
> 148
> 149
> --> 150 class DeferredDataFrameOrSeries(frame_base.DeferredFrame):
>
> 151 def _render_indexes(self):
> 152 if self.index.nlevels == 1:
> ~/working_dir/beam/sdks/python/apache_beam/dataframe/frames.py in
> DeferredDataFrameOrSeries()
> 297 ffill = _fillna_alias('ffill')
> 298 bfill = _fillna_alias('bfill')
> --> 299 backfill = _fillna_alias('backfill')
> 300 pad = _fillna_alias('pad')
> 301
> ~/working_dir/beam/sdks/python/apache_beam/dataframe/frames.py in
> _fillna_alias(method)
> 94 return frame_base.with_docs_from(pd.DataFrame)(
>
> 95 frame_base.args_to_kwargs(pd.DataFrame)(
> ---> 96 frame_base.populate_defaults(pd.DataFrame)(wrapper)))
>
> 97
> 98
> ~/working_dir/beam/sdks/python/apache_beam/dataframe/frame_base.py in
> wrap(func)
> 559 For internal use only. No backwards compatibility guarantees."""
>
> 560 def wrap(func):
> --> 561 base_argspec = getfullargspec(unwrap(getattr(base_type,
> func.__name__)))
> 562 if not base_argspec.defaults:
> 563 return func
> AttributeError: type object 'DataFrame' has no attribute 'backfill'
> {code}
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