Prakhar Sandhu created SPARK-38637: -------------------------------------- Summary: 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: 3.2.1 Reporter: Prakhar Sandhu
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 (v8.20.1#820001) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org