Forum Discussion
Replace Errors values with Null values
Hi SHAKEDALROY ,
Created a table with a bad row..
It was text, but made it time, error showed.
Went to the Transform tab, clicked on Replace Values, entered NULL and it worked even as Time column.
Let me know if you have any questions.
If this solves your issues, please mark it as the solution, so that others can find it easily. Kudos 👍are nice too.
NathanielHello SHAKEDALROY
another approach is to not change the column type blindly but to make a Table.TransformColumns instead to check whether the data is a datetime or not. Here an M-code
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjDVMzTSMzJQMDSyMjBQitUBCllAhQwsYEJOOYlApBQbCwA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [DateTime = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"DateTime", type text}}), ChangeToDateTime = Table.TransformColumns(#"Changed Type",{{"DateTime", each try DateTime.From(_, "de-DE") otherwise null , type datetime}} ) in ChangeToDateTimeCopy paste this code to the advanced editor in a new blank query to see how the solution works.
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Have fun
Jimmy
Hi SHAKEDALROY ,
Created a table with a bad row.
.
It was text, but made it time, error showed.
Went to the Transform tab, clicked on Replace Values, entered NULL and it worked even as Time column.
Let me know if you have any questions.
If this solves your issues, please mark it as the solution, so that others can find it easily. Kudos 👍are nice too.
Nathaniel
I am having the same issue. Unfortunately the proposed solution to replace errors with "null" does not work. My idea was to first change the error value in my table (#) to blank and then use the fill function to get the data from row above. Still, it does not work as Power BI does not replace errors with null.
In another dataset I have created workaround so that I created conditional column and some rules to pick up the date from one row above. But I suppose there should easier solution to this.
I need to reply my own post as I still continued testing this. Solution I found was to use the replace function in query editor already in the beginning of applied steps before the editor converted values as dates. I could replace # with null and the use the fill funactionality to replace blanks with the value from above.
I hope this helps also if someone is struggling with similar problem.
- Hi Jarkko
Here’s another approach using try … otherwise that may be useful for you, and for anyone else who runs into the same issue.
let
Source = Source,
Type = Table.FillDown(
Table.TransformColumns(
Source,
{{"Times", each try Time.From(_) otherwise null}}
),
{"Times"}
)
in
TypeThis removes the need for a separate Changed Type step and keeps the conversion and error handling in the same query. It also preserves the option to fill down the Times column afterward.
Thanks,
