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https://issues.apache.org/jira/browse/BEAM-7926?focusedWorklogId=330176&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-330176
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ASF GitHub Bot logged work on BEAM-7926:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 17/Oct/19 22:43
            Start Date: 17/Oct/19 22:43
    Worklog Time Spent: 10m 
      Work Description: aaltay commented on pull request #9741: [BEAM-7926] 
Visualize PCollection
URL: https://github.com/apache/beam/pull/9741#discussion_r336258249
 
 

 ##########
 File path: sdks/python/setup.py
 ##########
 @@ -107,13 +107,17 @@ def get_version():
     'crcmod>=1.7,<2.0',
     # Dill doesn't guarantee comatibility between releases within minor 
version.
     'dill>=0.3.0,<0.3.1',
+    'facets-overview>=1.0.0,<2',
 
 Review comment:
   This change is significantly expanding the required Beam dependencies. These 
dependencies are by default not used by existing users and also would not be 
needed in execution environments.
   
   I suggest making another extras_require similar to gcp and group all 
interactive dependency requirements under that group.
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 330176)
    Time Spent: 2h 50m  (was: 2h 40m)

> Visualize PCollection with Interactive Beam
> -------------------------------------------
>
>                 Key: BEAM-7926
>                 URL: https://issues.apache.org/jira/browse/BEAM-7926
>             Project: Beam
>          Issue Type: New Feature
>          Components: runner-py-interactive
>            Reporter: Ning Kang
>            Assignee: Ning Kang
>            Priority: Major
>          Time Spent: 2h 50m
>  Remaining Estimate: 0h
>
> Support auto plotting / charting of materialized data of a given PCollection 
> with Interactive Beam.
> Say an Interactive Beam pipeline defined as
> p = create_pipeline()
> pcoll = p | 'Transform' >> transform()
> The use can call a single function and get auto-magical charting of the data 
> as materialized pcoll.
> e.g., visualize(pcoll)



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