Drop the original column and rename the new column
See df.drop & df.withcolimnrenamed
Eran
On Wed, 30 Dec 2015 at 19:08 raja kbv <raja...@yahoo.com> wrote:
> Solutions from Eran & Yanbo are working well. Thank you.
>
> @Eran,
>
> Your solution worked with a small change.
> DF.withColumn("upper-code",upper(df("countrycode"))).
>
> This creates a new column "upper-code". Is there a way to update the
> column or create a new df with update column?
>
> Thanks,
> Raja
>
> On Thursday, 24 December 2015 6:17 PM, Eran Witkon <eranwit...@gmail.com>
> wrote:
>
>
> Use DF.withColumn("upper-code",df("countrycode).toUpper))
> or just run a map function that does the same
>
> On Thu, Dec 24, 2015 at 2:05 PM Bharathi Raja <raja...@yahoo.com.invalid>
> wrote:
>
> Hi,
> Values in a dataframe column named countrycode are in different cases. Eg:
> (US, us). groupBy & count gives two rows but the requirement is to ignore
> case for this operation.
> 1) Is there a way to ignore case in groupBy? Or
> 2) Is there a way to update the dataframe column countrycode to uppercase?
>
> Thanks in advance.
>
> Regards,
> Raja
>
>
>
>
