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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2022/03/10 06:15:30 UTC
[GitHub] [spark] xinrong-databricks commented on a change in pull request #35794: [SPARK-38491][PYTHON] Support `ignore_index` of `Series.sort_values`
xinrong-databricks commented on a change in pull request #35794:
URL: https://github.com/apache/spark/pull/35794#discussion_r823379193
##########
File path: python/pyspark/pandas/frame.py
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@@ -6901,6 +6904,16 @@ def sort_values(
3 D 7 2
2 None 8 4
+ Ignore index for the resulting axis
+
+ >>> df.sort_values(by=['col1'], ignore_index=True)
+ col1 col2 col3
+ 0 A 2 0
+ 1 B 9 9
+ 2 C 4 3
+ 3 D 7 2
+ 4 None 8 4
Review comment:
Thanks @itholic . The resulting index order is different considering different `ignore_index` input.
```py
Sort by col1
>>> df.sort_values(by=['col1'])
col1 col2 col3
0 A 2 0
1 B 9 9
4 C 4 3
3 D 7 2
2 None 8 4
Ignore index for the resulting axis
>>> df.sort_values(by=['col1'], ignore_index=True)
col1 col2 col3
0 A 2 0
1 B 9 9
2 C 4 3
3 D 7 2
4 None 8 4
```
I may modify it if you still think it confusing though.
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