reading row and printing only text in new column? - pyspark

input and output requirements
I am totally beginner in Pyspark. I have tried with diff. regular column operations but how can I filter out every row?
thanks in advance.

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Splitting the pyspark array elements by newline character in the same dataframe cell

I have a requirement where I need to show the elements of an array in new lines but in the same dataframe cell.
I am using the collect_list function on grouped data to have the data elements stored in a list. - ['a','b','c']
However there is a requirement to show the data as one item per line but All items in same dataframe cell.
I have explained the AS IS and TO BE requirements pictorically in below image link (Sorry right now, I am not allowed to copy paste images directly here.)
https://i.stack.imgur.com/BbLgv.png
We can call it cell wraping functionality similar to excel, but does anybody know how to do it in pyspark?
Thanks

How to convert lines to columns with talend

I want to convert my input excel's data to columns with talend, like show the picture bellow. Any help please? I'm junior to this
Regards
enter image description here
There is custom component for this on the Talend Exchange for pivoting rows to columns. Check out this tutorial

How to find widths of a Flat File using read_fwf() in Pandas?

I have downloaded some data from the Mainframe (.DATA format) and I need to parse it to create a PySpark DataFrame and perform some operations on it. Before doing that, I created a sample file and read it using read_fwf() feature of Pandas.
I was able to read and create the DataFrame but I encountered some problems like
Padding of "0" in the first column of some of the Rows
Repeating Headers while reading the Data
These were some of the issues I can handle, however the key challenge I am facing is in identifying the widths of the columns. I currently have 65 columns but in order to create a PySpark DataFrame, I would require to know the widths of these columns. Can read_fwf() tell what is the widths it is using for each column ?
And is there a read_fwf() like function in PySpark ? Or we would have to write a MapRed code for it ?

How do I force tJavaFlex to generate multiple rows for a single row

How do I make tJavaFlex generate multiple output rows for a single input row? I don't want to use tSplitRow as I have to do other processing.
But for example, if I add a for loop inside my main code, and split my string into words the below happens, and I just get the last word in the sentence in my output flow:
tRowGenerator generating one sentence (1 row, one column):
tJavaFlex with loop in the Main section splitting the sentence into word tokens:
And this is what I get:
I had thought my loop would generate 10 rows in the output. Is there a way to make the tJavaFlex do this kind of multiplication of input rows?
In order to achieve your requirement, you need to use component tnormalize.
Below is just a sample job using tNormalize component and I have used the same string that you have used
I have provided item separator as "space"
I have got the below result for simple println statement
Hope this may help you out.

How to split value of a VARCHAR column for every 2 charactes in System i Navigator (AS/400)

First of all, hi everyone, I hope you're having a great day.
So here's my problem.
I have a column in my table that consist of values all append together like
1120304050607080
I need to get this value and then split it into many 2 digit values so i can use them in another query like
WHERE model in ('11,20,30,40,50,60,70,80') ...
Is this possible to do in a Db2 iSeries Navigator query ? If not, is there another way around ?
Thanks
Have a great day !
EDIT: Seems like the solution will be to do a function. I haven't done a function in iseries before so if anyone is willing to help, i'll take it !