Thanks for the reply Davies I think replace, replaces a value with another value. But what I want to do is fill in the null value of a column.( I don't have a to_replace here )
Regards, Vishnu On Mon, Nov 23, 2015 at 1:37 PM, Davies Liu <dav...@databricks.com> wrote: > DataFrame.replace(to_replace, value, subset=None) > > > http://spark.apache.org/docs/latest/api/python/pyspark.sql.html#pyspark.sql.DataFrame.replace > > On Mon, Nov 23, 2015 at 11:05 AM, Vishnu Viswanath > <vishnu.viswanat...@gmail.com> wrote: > > Hi > > > > Can someone tell me if there is a way I can use the fill method in > > DataFrameNaFunctions based on some condition. > > > > e.g., df.na.fill("value1","column1","condition1") > > df.na.fill("value2","column1","condition2") > > > > i want to fill nulls in column1 with values - either value 1 or value 2, > > based on some condition. > > > > Thanks, > -- Thanks and Regards, Vishnu Viswanath +1 309 550 2311 *www.vishnuviswanath.com <http://www.vishnuviswanath.com>*
