HyukjinKwon commented on a change in pull request #33882:
URL: https://github.com/apache/spark/pull/33882#discussion_r699819419
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File path: python/pyspark/pandas/namespace.py
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@@ -2814,9 +2824,18 @@ def to_numeric(arg):
1.0
"""
if isinstance(arg, Series):
- return arg._with_new_scol(arg.spark.column.cast("float"))
+ if errors == "coerce":
+ return arg._with_new_scol(arg.spark.column.cast("int"))
+ elif errors == "ignore":
+ scol = arg.spark.column
+ casted_scol = scol.cast("int")
+ return arg._with_new_scol(F.when(casted_scol.isNull(),
scol).otherwise(casted_scol))
+ elif errors == "raise":
+ raise NotImplementedError("'raise' is not implemented yet, when
the `arg` is Series.")
Review comment:
Let's implement this case by using `assert_true` expression. e.g.)
`assert_true(casted_col.isNotNull())`
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