Get record column1 that is not Null and output in Column2

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Dino111

• June 13, 2018 10:39

Hi, Dataverse experts,

I am new to Dataverse and Python and encounter some problems with a simple script. I have a list of missing records. I'm trying to fill the gaps with the value of the previous row.

Can someone take the time and help me out?

I'm looking for a way to get the record in column1 that is not Null and to output it in the second column to the point there is a value in column1. Column1 (row 1) to output to Column test row (1 to 5) and the record in Column1 (row 6) to output to Column test row (6 to 10). My code so far: 

if fields.Date is not Null:
  out1.test= fields.Column1
else:
  out1.test = 1 (this needs to be the value in column1) .

Thanks in advance Dino

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• 

  Adrian Williams

  • June 15, 2018 13:38

  You could use the following code in a Transform node (it assumes your input field and output field are both string data types as per your screenshot and defaults to using 1st January 1900 if the first record has a Null value):

   

  #### ConfigureFields property script

  out1 += in1
  out1.test = str

   

  #### ProcessRecords property script

  if node.firstExec:
    previousValue = '1900-01-01'

  if fields.Column1 is not Null:
    out1.test = fields.Column1
    previousValue = fields.Column1
  else:
    out1.test = previousValue

   

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  Dino111

  • June 15, 2018 17:24

  Hi Adrian, 

  thanks, I had already seen the firstExec node but could not get it to work (could not find enough information and the online documentation gives a timeout). 

  Thanks again

   

  Dino

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  Adrian Williams

  • June 18, 2018 08:19

  Hi Dino,

  The second sample code snippet in the ProcessRecords script of the Transform node includes an example of using the node.Exec() method.

  I believe there was an issue with the link to the online version of the desktop edition help for a short while that has been resolved. The online help documentation is for the server also covers the Python scripting topics and is available here.

  Regards,

  Adrian

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