In a layer I have 100 features with a counter attribute of type Long. The values range from 3 to 10000. I'd like to create a graduated color symbology but I'm stuck with this error message.
This field does not contain quantitative data to generate symbology.
A temporary symbol class has been created.
What's happening ?
Add a new field of type 'double', call it something (eg 'New_class')
Calculate the new field using the values from the old field (eg 'Count_fld')
use the python parser, so that... !New_class! = float(!Count_fld!)
FYI, when a query use the view_extent parameter, the query must complete when the parameter is null, otherwise he query to discover the range of possible values fails which results in this error message.
Hi Dan, the query had indicators of type integer, bigint and double.
After handling the case when view_extent is null, the distribution of values appeared and graduated colors worked !