Hello,
I am curating a geospatial dataset that was poorly organized before I came along. In it, the unique ID for unique people changes between seasons, e.g. Malcolm Little in season 1 is given UID A1006, in season 2 he is given unique ID A2006, in season 3 he is given unique ID A3006, etc...
I'm attempting to consolidate the point feature classes for each unique person into their own unique feature dataset. The current arrangement is like this (one feature class per each day of observations):
Essentially, I'm looking for a method that would comb through a geodatabase, and copy all feature classes pertaining to the same person into a new feature dataset. E.g. all A1006, A2006, A3006 point feature classes copied into a feature dataset called "Ax006_completeObs".
The trick, I believe, may lie in utilizing a wildcard for the second character, since the structure remains consistent for every person in the geodatabase.