pralabhkumar commented 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 . I am ok with any of the approach.
Please review the PR and suggest. If u are ok , I will resolve the merge
conflicts.
tmp_schema = [StructField(tmp_column_names[i],
TimestampNTZType() if
isinstance(self.schema.fields[i].dataType, TimestampType)
else self.schema.fields[i].dataType) for i in
range(len(self.columns))]
table = pyarrow.Table.from_arrays(arrays = [pyarrow.array([])] *
len(self.schema.fields),
schema =
to_arrow_schema(StructType(tmp_schema)))
pdf = table.to_pandas().set_index([pd.Index([])])
pdf.columns = self.columns
return pdf
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