[ https://issues.apache.org/jira/browse/SPARK-32686?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Bryan Cutler resolved SPARK-32686. ---------------------------------- Fix Version/s: 3.1.0 Resolution: Fixed Issue resolved by pull request 29510 [https://github.com/apache/spark/pull/29510] > Un-deprecate inferring DataFrame schema from list of dictionaries > ----------------------------------------------------------------- > > Key: SPARK-32686 > URL: https://issues.apache.org/jira/browse/SPARK-32686 > Project: Spark > Issue Type: Improvement > Components: PySpark, SQL > Affects Versions: 3.1.0 > Reporter: Nicholas Chammas > Assignee: Nicholas Chammas > Priority: Minor > Fix For: 3.1.0 > > > Inferring the schema of a DataFrame from a list of dictionaries feels natural > for PySpark users, and also mirrors [basic functionality in > Pandas|https://stackoverflow.com/a/20638258/877069]. > This is currently possible in PySpark but comes with a deprecation warning. > We should un-deprecate this behavior if there are no deeper reasons to > discourage users from this API, beyond wanting to push them to use {{Row}}. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org