Apache Spark commented on SPARK-24215:

User 'xuanyuanking' has created a pull request for this issue:

> Implement __repr__ and _repr_html_ for dataframes in PySpark
> ------------------------------------------------------------
>                 Key: SPARK-24215
>                 URL: https://issues.apache.org/jira/browse/SPARK-24215
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark, Spark Core, SQL
>    Affects Versions: 2.3.0
>            Reporter: Ryan Blue
>            Assignee: Li Yuanjian
>            Priority: Major
>             Fix For: 2.4.0
> To help people that are new to Spark get feedback more easily, we should 
> implement the repr methods for Jupyter python kernels. That way, when users 
> run pyspark in jupyter console or notebooks, they get good feedback about the 
> queries they've defined.
> This should include an option for eager evaluation, (maybe 
> spark.jupyter.eager-eval?). When set, the formatting methods would run 
> dataframes and produce output like {{show}}. This is a good balance between 
> not hiding Spark's action behavior and getting feedback to users that don't 
> know to call actions.
> Here's the dev list thread for context: 
> http://apache-spark-developers-list.1001551.n3.nabble.com/eager-execution-and-debuggability-td23928.html

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