Forum Discussion
Table.FromList(List.Distinct(Table[ID]), null, {"ID"}) not working for data type that is number
Hi all,
I am using following query to extract a Unique data from a column of a table.
Table.FromList(List.Distinct(Table[ID]), null, {"ID"})
The above query works fine when the column that is being referred to is a text. However, it doesn't work work when the data type is a number. In above case, if the ID column above is of text data type then it works fine but if the data type of the ID is number(int.64), I get following error.
How do I apply the above query to the column that is int.64? Am i doing something wrong?
Thanks in advance
- Anonymous5 years ago
Sometimes M thinks that splitting stuff means that it must be text. Try using Table.FromColumns:
= Table.FromColumns({List.Distinct(Table[ID])}, {"ID"})
--Nate
Table.FromList(List.Distinct(Table[ID]), Splitter.SplitByNothing(), {"ID"})- Anonymous5 years ago
Hi shekhar_shres ,
What does your data look like?
The error message show that it can't convert 8 value, maybe you can check if there is an issue with your 8 value, or try to replace the 8 value with another default value to check if the error is resolved.
Best Regards,
Stephen Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
4 Replies
- AnonymousNot applicable
Sometimes M thinks that splitting stuff means that it must be text. Try using Table.FromColumns:
= Table.FromColumns({List.Distinct(Table[ID])}, {"ID"})
--Nate
- CNENFRNLCommunity Champion
Table.FromList(List.Distinct(Table[ID]), Splitter.SplitByNothing(), {"ID"}) - AnonymousNot applicable
Hi shekhar_shres ,
What does your data look like?
The error message show that it can't convert 8 value, maybe you can check if there is an issue with your 8 value, or try to replace the 8 value with another default value to check if the error is resolved.
Best Regards,
Stephen Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
- shekhar_shresAdvocate II
Thank you Both,
Both worked.