HyukjinKwon commented on a change in pull request #33907:
URL: https://github.com/apache/spark/pull/33907#discussion_r702591184
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File path: python/pyspark/pandas/namespace.py
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@@ -407,6 +410,20 @@ def read_csv(
index_spark_column_names = []
index_names = []
+ data_spark_columns = [scol_for(sdf, col) for col in column_labels.values()]
+ if thousands is not None:
+ if not isinstance(thousands, str) or len(thousands) != 1:
+ raise ValueError("Only length-1 comment characters supported")
+ new_data_spark_columns = list()
+ for scol in data_spark_columns:
+ scol_replaced = F.regexp_replace(scol, thousands, "")
+ cond = F.when(scol_replaced.isNull(),
np.nan).otherwise(scol_replaced.cast("float"))
+ if len(sdf.select(cond).filter(cond.isNull()).head(1)) == 0:
Review comment:
can we avoid launching jobs for every column?
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