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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:23:16 UTC

[jira] [Updated] (SPARK-12782) reindex() columns in DataFrame

     [ https://issues.apache.org/jira/browse/SPARK-12782?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-12782:
---------------------------------
    Labels: bulk-closed feature pandas  (was: feature pandas)

> reindex() columns in DataFrame
> ------------------------------
>
>                 Key: SPARK-12782
>                 URL: https://issues.apache.org/jira/browse/SPARK-12782
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>            Reporter: Mahmoud Lababidi
>            Priority: Minor
>              Labels: bulk-closed, feature, pandas
>
> There is a nice feature in Pandas DataFrames that allows you to reindex columns. Example: a column has 2006-01-01, 2006-01-02, 2006-01-04. If you perform reindex() the missing 2006-01-03 will be filled in.
> This seems necessary to implement in Spark.
> http://pandas.pydata.org/pandas-docs/version/0.17.1/generated/pandas.DataFrame.reindex.html



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