[ https://issues.apache.org/jira/browse/SPARK-19454?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-19454: ------------------------------------ Assignee: Apache Spark > Improve DataFrame.replace API > ----------------------------- > > Key: SPARK-19454 > URL: https://issues.apache.org/jira/browse/SPARK-19454 > Project: Spark > Issue Type: Improvement > Components: PySpark, SQL > Affects Versions: 1.5.0, 1.6.0, 2.0.0, 2.1.0, 2.2.0 > Reporter: Maciej Szymkiewicz > Assignee: Apache Spark > > Current implementation suffers from following issues: > - It is possible to use {{dict}} as {{to_replace}}, but we cannot skip or use > {{None}} as the value {{value}} (although it is ignored). This requires > passing "magic" values: > {code} > df = sc.parallelize([("Alice", 1, 3.0)]).toDF() > df.replace({"Alice": "Bob"}, 1) > {code} > - Code doesn't check if provided types are correct. This can lead to > exception in Py4j (harder to diagnose): > {code} > df.replace({"Alice": 1}, 1) > {code} > or silent failures (with bundled Py4j version): > {code} > df.replace({1: 2, 3.0: 4.1, "a": "b"}, 1) > {code} -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org