zhengruifeng commented on PR #37232:
URL: https://github.com/apache/spark/pull/37232#issuecomment-1191260196

   @bzhaoopenstack  Thanks for reporting this!
   
   BTW, I can not reproduce the case 
https://issues.apache.org/jira/browse/SPARK-39821  with master branch: 
   
   ```
   Python 3.9.12 (main, Apr  5 2022, 01:52:34)
   Type 'copyright', 'credits' or 'license' for more information
   IPython 8.4.0 -- An enhanced Interactive Python. Type '?' for help.
   Setting default log level to "WARN".
   To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use 
setLogLevel(newLevel).
   22/07/21 17:26:32 WARN NativeCodeLoader: Unable to load native-hadoop 
library for your platform... using builtin-java classes where applicable
   Welcome to
         ____              __
        / __/__  ___ _____/ /__
       _\ \/ _ \/ _ `/ __/  '_/
      /__ / .__/\_,_/_/ /_/\_\   version 3.4.0-SNAPSHOT
         /_/
   
   Using Python version 3.9.12 (main, Apr  5 2022 01:52:34)
   Spark context Web UI available at http://10.0.0.13:4040
   Spark context available as 'sc' (master = local[*], app id = 
local-1658395592665).
   SparkSession available as 'spark'.
   
   In [1]: from pyspark import pandas as ps
   
   In [2]: a = ps.DatetimeIndex(['1970-01-01', '1970-01-01', '1970-01-01'])
   
   In [3]: a
   DatetimeIndex(['1970-01-01', '1970-01-01', '1970-01-01'], 
dtype='datetime64[ns]', freq=None)
   
   In [4]: a.__repr__()
   Out[4]: "DatetimeIndex(['1970-01-01', '1970-01-01', '1970-01-01'], 
dtype='datetime64[ns]', freq=None)"
   ```
   
   So should this fix target against 3.2.x?


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