WeichenXu123 commented on code in PR #37734:
URL: https://github.com/apache/spark/pull/37734#discussion_r1013946849
##########
python/pyspark/ml/functions.py:
##########
@@ -106,6 +117,542 @@ def array_to_vector(col: Column) -> Column:
return
Column(sc._jvm.org.apache.spark.ml.functions.array_to_vector(_to_java_column(col)))
+def _batched(
+ data: pd.Series | pd.DataFrame | Tuple[pd.Series], batch_size: int
+) -> Iterator[pd.DataFrame]:
+ """Generator that splits a pandas dataframe/series into batches."""
+ if isinstance(data, pd.DataFrame):
+ index = 0
+ data_size = len(data)
+ while index < data_size:
+ yield data.iloc[index : index + batch_size]
+ index += batch_size
Review Comment:
The code snippet occurs in 2 places, let's make it as a function
`_convert_pandas_df_to_batch_iter`
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