Hyukjin Kwon created SPARK-21658: ------------------------------------ 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. -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org