[GitHub] [spark] HyukjinKwon commented on a change in pull request #28928: [SPARK-32098][PYTHON] Use iloc for positional slicing instead of direct slicing in createDataFrame with Arrow

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

HyukjinKwon commented on a change in pull request #28928:
URL: https://github.com/apache/spark/pull/28928#discussion_r445977049



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File path: python/pyspark/sql/pandas/conversion.py
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@@ -413,7 +413,7 @@ def _create_from_pandas_with_arrow(self, pdf, schema, timezone):
 
         # Slice the DataFrame to be batched
         step = -(-len(pdf) // self.sparkContext.defaultParallelism)  # round int up
-        pdf_slices = (pdf[start:start + step] for start in xrange(0, len(pdf), step))
+        pdf_slices = (pdf.iloc[start:start + step] for start in xrange(0, len(pdf), step))

Review comment:
       As far as I can tell, yes.




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