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Reynold Xin updated SPARK-6119: ------------------------------- Description: Support dropping rows with null values (dropna). Similar to Pandas' dropna http://pandas.pydata.org/pandas-docs/dev/generated/pandas.DataFrame.dropna.html was: Real world data can be messy. An important feature of data frames is support for missing data. We should figure out what we want to do here. Some ideas: 1. Support replacing all null value for a column (or all columns) with a fixed value. 2. Support dropping rows with null values (dropna). 3. Support replacing a set of values with another set of values (i.e. map join) > DataFrame.dropna support > ------------------------ > > Key: SPARK-6119 > URL: https://issues.apache.org/jira/browse/SPARK-6119 > Project: Spark > Issue Type: Sub-task > Components: SQL > Reporter: Reynold Xin > Labels: DataFrame > > Support dropping rows with null values (dropna). Similar to Pandas' dropna > http://pandas.pydata.org/pandas-docs/dev/generated/pandas.DataFrame.dropna.html -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org