sharkdtu opened a new issue, #1735:
URL: https://github.com/apache/iceberg-python/issues/1735

   ### Feature Request / Improvement
   
   The human string of timestamp value is inconsistent with java api, which 
cause different partition paths.
   
   For example, let's say i have a table with following representation:
   ```
   table {
     1: hour: optional timestamptz
     2: id: optional long
     3: name: optional string
   },
   partition by: [hour],
   ...
   ```
   
   the writting data path of pyiceberg is:
   ```
   /path/to/namespace/table/data/hour=2025-02-27T00%3A00%3A00%2B00%3A00
   ```
   
   however, the writting data path of spark is:
   ```
   /path/to/namespace/table/data/hour=2025-02-27T00%3A00Z
   ```
   


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