Very Slick! Thanks for the example Josh. Used it to convert some numeric domains to text.
def Reclass(fld):
d = {
'0':'Unclassified',
'1':'Cemetery',
'2':'Dock',
'3':'Park',
'4':'Parkin Lot',
'5':'Sign',
'6':'Stormwater Treatment Area',
'7':'Telecom',
'8':'Utility-Water',
'9':'Utility-Electric',
'10':'Utility-Sewer',
'11':'Utility-Gas',
'12':'Vacant',
'13.1':'Apartment',
'13.01':'Single Family Unit',
'13.02':'Duplex',
'13.03':'Triplex'
'13.04':'Quadplex',
'13.05':'Mobile Home',
'13.06':'Townhouse',
'13.07':'Condominium',
'13.08':'Prefabricated Home',
'13.09':'Abandoned-Dilapidated',
'13.11':'Multi-Family',
'13.12':'Abandoned Mobile Home',
'14':'Commercial',
'15':'FSU',
'16':'TCC',
'17':'FAMU',
'18':'Elementary School',
'19':'Middle School',
'20':'High School',
'21':'Religious',
'22':'Airport',
'23':'Community Center',
'24':'Cultural',
'25':'General',
'26.01':'Govt-City',
'26.02':'Govt-County',
'26.03':'Govt-State',
'26.04':'Govt-Federal',
'27':'Hotel',
'28':'Industrial',
'29':'Medical',
'30':'Recreation',
'31':'Transportation',
'32':'Bar-Shed-Shop',
'33':'Delete',
'34':'New Building See Notes',
'35':'Garage Carport',
'36':'Mobile Home Storage',
'99':'Re-Review',
}
return d.get(fld.upper())