[GitHub] [spark] pralabhkumar edited a comment on pull request #34401: [SPARK-30537][PYTHON], Fix toPandas wrong dtypes when applied on empty DF when Arrow enabled

[GitBox <gi...@apache.org>]

pralabhkumar edited a comment on pull request #34401:
URL: https://github.com/apache/spark/pull/34401#issuecomment-966244527


   @HyukjinKwon 
   
   There is another way to do the same using pyarrow  . Below is the code for the same . 
   tmp_schema = [pyarrow.field(tmp_column_names[i],to_arrow_type(
               TimestampNTZType() if isinstance(self.schema.fields[i].dataType, TimestampType)
               else self.schema.fields[i].dataType
           ),)
       for i in range(len(self.columns))
   ]
   
   pdf = (
       pyarrow.schema(tmp_schema)
       .empty_table()
       .to_pandas()
       .set_index([pd.Index([])])
   )
   pdf.columns = self.column
   
   
   


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