[jira] [Assigned] (SPARK-21100) describe should give quartiles similar to Pandas
[
https://issues.apache.org/jira/browse/SPARK-21100?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-21100:
Assignee: (was: Apache Spark)
> describe should give quartiles similar to Pandas
>
>
> Key: SPARK-21100
> URL: https://issues.apache.org/jira/browse/SPARK-21100
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 2.1.1
>Reporter: Andrew Ray
>Priority: Minor
>
> The DataFrame describe method should also include quartiles (25th, 50th, and
> 75th percentiles) like Pandas.
> Example pandas output:
> {code}
> In [4]: df.describe()
> Out[4]:
>Unnamed: 0 displ year cyl cty hwy
> count 234.00 234.00 234.00 234.00 234.00 234.00
> mean 117.503.471795 2003.505.89 16.858974 23.440171
> std 67.6941651.291959 4.5096461.6115344.2559465.954643
> min 1.001.60 1999.004.009.00 12.00
> 25% 59.252.40 1999.004.00 14.00 18.00
> 50%117.503.30 2003.506.00 17.00 24.00
> 75%175.754.60 2008.008.00 19.00 27.00
> max234.007.00 2008.008.00 35.00 44.00
> {code}
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[jira] [Assigned] (SPARK-21100) describe should give quartiles similar to Pandas
[
https://issues.apache.org/jira/browse/SPARK-21100?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-21100:
Assignee: Apache Spark
> describe should give quartiles similar to Pandas
>
>
> Key: SPARK-21100
> URL: https://issues.apache.org/jira/browse/SPARK-21100
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 2.1.1
>Reporter: Andrew Ray
>Assignee: Apache Spark
>Priority: Minor
>
> The DataFrame describe method should also include quartiles (25th, 50th, and
> 75th percentiles) like Pandas.
> Example pandas output:
> {code}
> In [4]: df.describe()
> Out[4]:
>Unnamed: 0 displ year cyl cty hwy
> count 234.00 234.00 234.00 234.00 234.00 234.00
> mean 117.503.471795 2003.505.89 16.858974 23.440171
> std 67.6941651.291959 4.5096461.6115344.2559465.954643
> min 1.001.60 1999.004.009.00 12.00
> 25% 59.252.40 1999.004.00 14.00 18.00
> 50%117.503.30 2003.506.00 17.00 24.00
> 75%175.754.60 2008.008.00 19.00 27.00
> max234.007.00 2008.008.00 35.00 44.00
> {code}
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