Hyukjin Kwon created SPARK-21658:
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Summary: Adds the default None for value in na.replace in PySpark
to match
Key: SPARK-21658
URL: https://issues.apache.org/jira/browse/SPARK-21658
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 2.2.0
Reporter: Hyukjin Kwon
Priority: Minor
Looks {{na.replace}} missed the default value {{None}}.
Both docs says they are aliases
http://spark.apache.org/docs/2.2.0/api/python/pyspark.sql.html#pyspark.sql.DataFrame.replace
http://spark.apache.org/docs/2.2.0/api/python/pyspark.sql.html#pyspark.sql.DataFrameNaFunctions.replace
but the default values looks different, which ends up with:
{code}
>>> df = spark.createDataFrame([('Alice', 10, 80.0)])
>>> df.replace({"Alice": "a"}).first()
Row(_1=u'a', _2=10, _3=80.0)
>>> df.na.replace({"Alice": "a"}).first()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: replace() takes at least 3 arguments (2 given)
{code}
To take the advantage of SPARK-19454, sounds we should match them.
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