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https://issues.apache.org/jira/browse/SPARK-36504?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-36504.
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Fix Version/s: 3.3.0
Assignee: Haejoon Lee
Resolution: Done
> Improve test coverage for pandas API on Spark
> ---------------------------------------------
>
> Key: SPARK-36504
> URL: https://issues.apache.org/jira/browse/SPARK-36504
> Project: Spark
> Issue Type: Umbrella
> Components: PySpark
> Affects Versions: 3.3.0
> Reporter: Haejoon Lee
> Assignee: Haejoon Lee
> Priority: Major
> Fix For: 3.3.0
>
> Attachments: Screen Shot 2021-08-13 at 9.56.48 AM.png, Screen Shot
> 2021-08-13 at 9.59.23 AM.png
>
>
> There are many codes in pandas-on-Spark are not being tested, for example:
> * (Series|DataFrame).to_clipboard
> !Screen Shot 2021-08-13 at 9.56.48 AM.png|width=548,height=125!
>
> * `value` and `method` argument for Series.fillna
> !Screen Shot 2021-08-13 at 9.59.23 AM.png|width=551,height=34!
>
> The red line above screen capture means that "this line is not being tested".
> Now the test coverage of pandas-on-Spark is 89.93% for total, 93.43% for
> frame.py (which is including DataFrame API), 89.04% for indexes/*.py (which
> is including Index API) and 93.43% for series.py (which is including Series
> API).
> Not necessarily cover the 100% of codes, since some test such as
> `DataFrame.to_delta` is untestable for now, but we should cover the codes as
> much as possible for healthy of project.
> You can find more missing tests and percentage of coverage in [code cov
> report|https://app.codecov.io/gh/apache/spark].
>
>
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