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https://issues.apache.org/jira/browse/BEAM-12246?focusedWorklogId=596373&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-596373
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ASF GitHub Bot logged work on BEAM-12246:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 13/May/21 21:07
Start Date: 13/May/21 21:07
Worklog Time Spent: 10m
Work Description: rohdesamuel commented on a change in pull request
#14778:
URL: https://github.com/apache/beam/pull/14778#discussion_r632104879
##########
File path: sdks/python/apache_beam/runners/interactive/interactive_beam.py
##########
@@ -529,6 +534,11 @@ def collect(pcoll, n='inf', duration='inf',
include_window_info=False):
n: (optional) max number of elements to visualize. Default 'inf'.
duration: (optional) max duration of elements to read in integer seconds or
a string duration. Default 'inf'.
+ include_window_info: (optional) if True, appends the windowing information
+ to each row. Default False.
+ reset_unnamed_indexes: (optional) If True, resets unnamed indices. This is
+ useful because the Beam DataFrame model has non-deterministic index
+ values for DataFrames with unnamed indexes. Default True.
Review comment:
I talked to Robert, it seems there's no guarantee for indexes in
dataframes made from beam.Create(). Removing the reset_unnamed_indexes stuff.
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Issue Time Tracking
-------------------
Worklog Id: (was: 596373)
Time Spent: 5h 20m (was: 5h 10m)
> ib.collect doesn't preserve the index from DeferredDataFrame instances
> ----------------------------------------------------------------------
>
> Key: BEAM-12246
> URL: https://issues.apache.org/jira/browse/BEAM-12246
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
> Affects Versions: 2.29.0
> Reporter: Brian Hulette
> Assignee: Sam Rohde
> Priority: P2
> Labels: dataframe-api
> Time Spent: 5h 20m
> Remaining Estimate: 0h
>
> This happens because it use {{to_pcollection(yield='schemas',
> include_indexes=False)}} (the default values for those arguments). To fix
> this we should avoid converting to beam schemas and collect the raw
> dataframes with {{to_pcollectiion(yield='pandas')}}.
> See https://github.com/apache/beam/pull/14356#discussion_r620647659
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