[jira] [Assigned] (SPARK-35806) Mapping the `mode` argument to pandas in DataFrame.to_csv

2021-07-19 Thread Hyukjin Kwon (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-35806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon reassigned SPARK-35806:


Assignee: Haejoon Lee

> Mapping the `mode` argument to pandas in DataFrame.to_csv
> -
>
> Key: SPARK-35806
> URL: https://issues.apache.org/jira/browse/SPARK-35806
> Project: Spark
>  Issue Type: Sub-task
>  Components: PySpark
>Affects Versions: 3.2.0
>Reporter: Haejoon Lee
>Assignee: Haejoon Lee
>Priority: Major
>
> pandas and pandas-on-Spark both have an argument named `mode` in the 
> [DataFrame.to_csv, 
> |https://koalas.readthedocs.io/en/latest/reference/api/databricks.koalas.DataFrame.to_csv.html]but
>  the acceptable strings are different.
> pandas can accept the "w", "w+", "a", "a+" where as pandas-on-Spark can 
> accept "append", "overwrite", "ignore", "error" or "errorifexists".
> We should map these acceptable strings to pandas.
> e.g. "w" will work as Spark's "overwrite". In addition, mode can take Spark's 
> "overwrite" too.



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[jira] [Assigned] (SPARK-35806) Mapping the `mode` argument to pandas in DataFrame.to_csv

2021-07-19 Thread Apache Spark (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-35806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-35806:


Assignee: Apache Spark

> Mapping the `mode` argument to pandas in DataFrame.to_csv
> -
>
> Key: SPARK-35806
> URL: https://issues.apache.org/jira/browse/SPARK-35806
> Project: Spark
>  Issue Type: Sub-task
>  Components: PySpark
>Affects Versions: 3.2.0
>Reporter: Haejoon Lee
>Assignee: Apache Spark
>Priority: Major
>
> pandas and pandas-on-Spark both have an argument named `mode` in the 
> [DataFrame.to_csv, 
> |https://koalas.readthedocs.io/en/latest/reference/api/databricks.koalas.DataFrame.to_csv.html]but
>  the acceptable strings are different.
> pandas can accept the "w", "w+", "a", "a+" where as pandas-on-Spark can 
> accept "append", "overwrite", "ignore", "error" or "errorifexists".
> We should map these acceptable strings to pandas.
> e.g. "w" will work as Spark's "overwrite". In addition, mode can take Spark's 
> "overwrite" too.



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[jira] [Assigned] (SPARK-35806) Mapping the `mode` argument to pandas in DataFrame.to_csv

2021-07-19 Thread Apache Spark (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-35806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-35806:


Assignee: (was: Apache Spark)

> Mapping the `mode` argument to pandas in DataFrame.to_csv
> -
>
> Key: SPARK-35806
> URL: https://issues.apache.org/jira/browse/SPARK-35806
> Project: Spark
>  Issue Type: Sub-task
>  Components: PySpark
>Affects Versions: 3.2.0
>Reporter: Haejoon Lee
>Priority: Major
>
> pandas and pandas-on-Spark both have an argument named `mode` in the 
> [DataFrame.to_csv, 
> |https://koalas.readthedocs.io/en/latest/reference/api/databricks.koalas.DataFrame.to_csv.html]but
>  the acceptable strings are different.
> pandas can accept the "w", "w+", "a", "a+" where as pandas-on-Spark can 
> accept "append", "overwrite", "ignore", "error" or "errorifexists".
> We should map these acceptable strings to pandas.
> e.g. "w" will work as Spark's "overwrite". In addition, mode can take Spark's 
> "overwrite" too.



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