Marc de Lignie created SPARK-33952:
--------------------------------------
Summary: Python-friendly dtypes for pyspark dataframes
Key: SPARK-33952
URL: https://issues.apache.org/jira/browse/SPARK-33952
Project: Spark
Issue Type: Task
Components: PySpark
Affects Versions: 3.0.1
Reporter: Marc de Lignie
The pyspark.sql.DataFrame.dtypes attribute contains string representations of
the column datatypes in terms of JVM datatypes. However, for a python user it
is a significant mental step to translate these to the corresponding python
types encountered in UDF's and collected dataframes. This holds in particular
for nested composite datatypes (array, map and struct). It is proposed to
provide python-friendly dtypes in pyspark (as an addition, not a replacement)
in which array<>, map<> and struct<> are translated to [], {} and Row().
Sample code, including tests, is available as [gist on
github|https://gist.github.com/vtslab/81ded1a7af006100e00bf2a4a70a8147]. More
explanation is provided at:
[https://yaaics.blogspot.com/2020/12/python-friendly-dtypes-for-pyspark.html]
If this proposal finds sufficient support, I can provide a PR.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
