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Posted to issues@spark.apache.org by "Snoot.io (Jira)" <ji...@apache.org> on 2023/04/25 03:40:00 UTC
[jira] [Commented] (SPARK-43270) Implement __dir__() in pyspark.sql.dataframe.DataFrame to include columns
[ https://issues.apache.org/jira/browse/SPARK-43270?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17716072#comment-17716072 ]
Snoot.io commented on SPARK-43270:
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User 'alexanderwu-db' has created a pull request for this issue:
https://github.com/apache/spark/pull/40907
> Implement __dir__() in pyspark.sql.dataframe.DataFrame to include columns
> -------------------------------------------------------------------------
>
> Key: SPARK-43270
> URL: https://issues.apache.org/jira/browse/SPARK-43270
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.5.0
> Reporter: Beishao Cao
> Priority: Major
> Attachments: Screenshot 2023-04-23 at 6.48.46 PM.png
>
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> Currently, Given {{df.|}} , the databricks notebook will only suggest the method of dataframe(see attached Screenshot of databricks notebook),
> {{However, df.column_name}} is also legal and runnable
> Hence we should override the parent __{{{}dir__{}}}{{{}(){}}} method on Python {{DataFrame}} class to include column names. And the benefit of this is engine that uses {{dir()}} to generate autocomplete suggestions (e.g. IPython kernel, Databricks Notebooks) will suggest column names on the completion {{df.|}}
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