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The script needs to work for all the parcels owed by an individual landowner. Each landowner may have multiple properties (called tracts—each tract has a unique ID number ), and each tract has multiple fields (numbered 1, 2, 3,… etc). The parcel data for each landowner is stored in a single feature class. It is important to be able to sort the final output by tract and field

Problem: it’s slow! I was able to figure out how to accomplish my intended goal, but the script runs very slowly. I think it is because of my reliance on cursors and multiple if then loops. Is there a more efficient or elegant way to do this? It takes 15 to 20 min to work through some of our mid-sized landowners and I haven’t dared to try it on our largest ones.

The script needs to work for all the parcels owned by an individual landowner. Each landowner may have multiple properties (called tracts—each tract has a unique ID number ), and each tract has multiple fields (numbered 1, 2, 3,… etc). The parcel data for each landowner is stored in a single feature class. It is important to be able to sort the final output by tract and field

Problem: The current script is slow! I was able to figure out how to accomplish my intended goal, but the script runs very slowly. I think it is because of my reliance on cursors and multiple if then loops. Is there a more efficient or elegant way to do this? It takes 15 to 20 min to work through some of our mid-sized landowners and I haven’t dared to try it on our largest ones.

I am running Arc 10.0 and Pythonwin 2.6.5

I am running Arc 10.0 and Pythonwin 2.6.5, so I cannot use DA cursors. The main area of trouble is in the portion of code that builds the dictionaries (following "# loop through by tract"). I timed the script on a mid-sized (for this application) dataset that had 682 rows (9 tracts) and it took 00:14:16 to complete, 00:13:02 of which was in this portion of code.

I am running Arc 10.0 and Pythonwin 2.6.5