[SPARK-45611][PYTHON][DOCS] Typo fixed yyy to yyyy at date_format function #43442
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Mind taking a look at https://github.com/apache/spark/pull/43442/checks?check_run_id=17836826969? Let's also file a JIRA, see also https://spark.apache.org/contributing.html |
HyukjinKwon
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HyukjinKwon
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It should be fine now. I will open a Jira issue later on today. |
Issue (https://issues.apache.org/jira/browse/SPARK-45611) created and also attaching it to the PR. |
metecanakar
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metecanakar
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Merged to master. |
| @@ -6784,7 +6784,7 @@ def date_format(date: "ColumnOrName", format: str) -> Column: | |||
| Examples | |||
| -------- | |||
| >>> df = spark.createDataFrame([('2015-04-08',)], ['dt']) | |||
| >>> df.select(date_format('dt', 'MM/dd/yyy').alias('date')).collect() | |||
| >>> df.select(date_format('dt', 'MM/dd/yyyy').alias('date')).collect() | |||
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This might be a typo but not a bug because 3-y means minimum number not exact number.
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We should run all examples, and as you can see the output is correct.
Based on the issue https://issues.apache.org/jira/browse/SPARK-45611
What changes were proposed in this pull request?
In the
date_formatmethod's doctest, there is a typo in the year format. Instead of 'MM/dd/yyy', it should be'MM/dd/yyyy'as the expected output[Row(date='04/08/2015')]indicates the following format"MM/dd/yyyy"Was this patch authored or co-authored using generative AI tooling?
No