[jira] [Updated] (SPARK-32562) Pyspark drop duplicate columns

2020-08-11 Thread Hyukjin Kwon (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-32562?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon updated SPARK-32562:
-
Target Version/s:   (was: 3.0.0)

> Pyspark drop duplicate columns
> --
>
> Key: SPARK-32562
> URL: https://issues.apache.org/jira/browse/SPARK-32562
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark
>Affects Versions: 3.0.0
>Reporter: abhijeet dada mote
>Priority: Major
>  Labels: newbie, starter
>   Original Estimate: 1h
>  Remaining Estimate: 1h
>
> Hi All,
> This is one suggestion can we have a feature in pyspark to remove duplicate 
> columns? 
> I have come up with small code for that 
> {code:python}
> def drop_duplicate_columns(_rdd_df):
> column_names = _rdd_df.columns
> duplicate_columns = set([x for x in column_names if column_names.count(x) 
> > 1])
> _rdd_df = _rdd_df.drop(*duplicate_columns)
> return _rdd_df
> {code}
> Your suggestions are appreciatd and can work on this PR, this would be my 
> first contribution(PR) to Pyspark if you guys agree with it



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[jira] [Updated] (SPARK-32562) Pyspark drop duplicate columns

2020-08-07 Thread Rohit Mishra (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-32562?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Rohit Mishra updated SPARK-32562:
-
Fix Version/s: (was: 3.0.0)

> Pyspark drop duplicate columns
> --
>
> Key: SPARK-32562
> URL: https://issues.apache.org/jira/browse/SPARK-32562
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark
>Affects Versions: 3.0.0
>Reporter: abhijeet dada mote
>Priority: Major
>  Labels: newbie, starter
>   Original Estimate: 1h
>  Remaining Estimate: 1h
>
> Hi All,
> This is one suggestion can we have a feature in pyspark to remove duplicate 
> columns? 
> I have come up with small code for that 
> {code:python}
> def drop_duplicate_columns(_rdd_df):
> column_names = _rdd_df.columns
> duplicate_columns = set([x for x in column_names if column_names.count(x) 
> > 1])
> _rdd_df = _rdd_df.drop(*duplicate_columns)
> return _rdd_df
> {code}
> Your suggestions are appreciatd and can work on this PR, this would be my 
> first contribution(PR) to Pyspark if you guys agree with it



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[jira] [Updated] (SPARK-32562) Pyspark drop duplicate columns

2020-08-06 Thread abhijeet dada mote (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-32562?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

abhijeet dada mote updated SPARK-32562:
---
Description: 

Hi All,

This is one suggestion can we have a feature in pyspark to remove duplicate 
columns? 

I have come up with small code for that 

{code:python}
def drop_duplicate_columns(_rdd_df):
column_names = _rdd_df.columns
duplicate_columns = set([x for x in column_names if column_names.count(x) > 
1])
_rdd_df = _rdd_df.drop(*duplicate_columns)
return _rdd_df

{code}

Your suggestions are appreciatd and can work on this PR, this would be my first 
contribution(PR) to Pyspark if you guys agree with it

  was:
Hi All,

This is one suggestion can we have a feature in pyspark to remove duplicate 
columns? 

I have come up with small code for that 



def drop_duplicate_columns(_rdd_df):
column_names = _rdd_df.columns
duplicate_columns = set([x for x in column_names if column_names.count(x) > 
1])
_rdd_df = _rdd_df.drop(*duplicate_columns)
return _rdd_df



Your suggestions are appreciatd and can work on this PR, this would be my first 
contribution(PR) to Pyspark if you guys agree with it


> Pyspark drop duplicate columns
> --
>
> Key: SPARK-32562
> URL: https://issues.apache.org/jira/browse/SPARK-32562
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark
>Affects Versions: 3.0.0
>Reporter: abhijeet dada mote
>Priority: Major
>  Labels: newbie, starter
> Fix For: 3.0.0
>
>   Original Estimate: 1h
>  Remaining Estimate: 1h
>
> Hi All,
> This is one suggestion can we have a feature in pyspark to remove duplicate 
> columns? 
> I have come up with small code for that 
> {code:python}
> def drop_duplicate_columns(_rdd_df):
> column_names = _rdd_df.columns
> duplicate_columns = set([x for x in column_names if column_names.count(x) 
> > 1])
> _rdd_df = _rdd_df.drop(*duplicate_columns)
> return _rdd_df
> {code}
> Your suggestions are appreciatd and can work on this PR, this would be my 
> first contribution(PR) to Pyspark if you guys agree with it



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