Python - Projecting different shapefiles in the same folder

Question

I have a few shapefiles in one folder with different coordinate systems but would like to use one of them as a template dataset. Is there a way to use python to filter out the shapefiles already in the required projection in the same folder?

I have been looking at the ListFeatureClasses and somehow using a wildcard, but not sure if that's the right way to go.

• PolyGeo: This is a near duplicate of gis.stackexchange.com/questions/141351/… - the only difference seems to be the use of a file geodatabase instead of a folder of shapefiles.
• John H: Oh sorry, thanks for pointing out PolyGeo, I will try.
• John H: Is there a way to filter out the shapefiles already in the required projection in the same folder?
• PolyGeo: You should probably research/ask that as a new question but the way I would try is to use arcpy.Describe().

Answer 1

You can use the Describe function to get information about your spatial references. Then simply use logic to screen out the spatial reference you do not want.

import arcpy
arcpy.env.workspace = r'C:\path\to\your\fgdb.gdb'
fcs = arcpy.ListFeatureClasses()
for fc in fcs:
 sr = arcpy.Describe(fc).spatialReference.name
 # Note that you can add multiple spatial references in a list ["sr1", "sr2"...]
 if sr not in ["NAD_1983_UTM_Zone_15N"]:
 # Do something
 print sr