[SPARK-46551][PYTHON][DOCS] Refine docstring of flatten/sequence/shuffle
#44548
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LuciferYang
commented
Dec 31, 2023
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| >>> import pyspark.sql.functions as sf | ||
| >>> df = spark.createDataFrame([([1, 20, 3, 5],)], ['data']) | ||
| >>> df.select(sf.shuffle(df.data)).show() # doctest: +SKIP |
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Because the execution result of shuffle is non-deterministic, only examples are shown here without actual testing. Also, I personally think that the result of shuffle should not be sorted again. If there are any other opinions, please let me know.
HyukjinKwon
approved these changes
Jan 2, 2024
itholic
approved these changes
Jan 2, 2024
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Merged into master. Thanks @HyukjinKwon @itholic |
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What changes were proposed in this pull request?
This pr refine docstring of
flatten/sequence/shuffleand add some new examples.Why are the changes needed?
To improve PySpark documentation
Does this PR introduce any user-facing change?
No
How was this patch tested?
Pass Github Actions
Was this patch authored or co-authored using generative AI tooling?
No