HyukjinKwon commented on a change in pull request #33882:
URL: https://github.com/apache/spark/pull/33882#discussion_r700776767
##########
File path: python/pyspark/pandas/namespace.py
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@@ -2747,13 +2747,20 @@ def merge(
@no_type_check
-def to_numeric(arg):
+def to_numeric(arg, errors="raise"):
"""
Convert argument to a numeric type.
Parameters
----------
arg : scalar, list, tuple, 1-d array, or Series
+ Argument to be converted.
+ errors : {'ignore', 'raise', 'coerce'}, default 'coerce'
+ Note that 'ignore' are not supported yet when the `arg` is Series.
+
+ * If 'coerce', then invalid parsing will be set as NaN.
+ * If 'ignore', then invalid parsing will return the input.
+ * If 'raise', then invalid parsing will raise an exception.
Review comment:
```suggestion
errors : {'raise', 'coerce'}, default 'coerce'
* If 'coerce', then invalid parsing will be set as NaN.
* If 'raise', then invalid parsing will raise an exception.
.. note:: pandas support 'ignore' but this is not implemented yet.
```
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