[ https://issues.apache.org/jira/browse/SPARK-21658?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-21658: --------------------------------- Fix Version/s: (was: 2.3.0) > 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 > Assignee: Chin Han Yu > Priority: Minor > Labels: Starter > > 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. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org