[ https://issues.apache.org/jira/browse/SPARK-38637?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Prakhar Sandhu updated SPARK-38637: ----------------------------------- Affects Version/s: 3.3.0 (was: 3.2.1) > pyspark.pandas.config.OptionError: "No such option: 'mode.chained_assignment' > ----------------------------------------------------------------------------- > > Key: SPARK-38637 > URL: https://issues.apache.org/jira/browse/SPARK-38637 > Project: Spark > Issue Type: Bug > Components: PySpark > Affects Versions: 3.3.0 > Reporter: Prakhar Sandhu > Priority: Major > > I replaced import pandas as pd to import pyspark.pandas as pd in my code. > {code:java} > pd.set_option("mode.chained_assignment", None) {code} > The above command was working with pandas but this option is not available in > pyspark.pandas . > {code:java} > pyspark.pandas.config.OptionError: "No such option: > 'mode.chained_assignment'. Available options are [display.max_rows, > compute.max_rows, compute.shortcut_limit, compute.ops_on_diff_frames, > compute.default_index_type, compute.ordered_head, > plotting.max_rows, plotting.sample_ratio, plotting.backend]" {code} > -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org