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I have a raster file containing some integer values.

I need to find all pixels whose values are not defined in list like this one:

l = [1,2,4,8,16,32,64,128].

Is there any easy way to solve that problem without converting raster to points and editing attribute table?

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up vote 7 down vote accepted

Extract by attributes using "VALUE NOT IN (1,2,4,8,16,32,64,128)" (Thanks to @afalciano) will give you a new raster with only the cells where the value is different from your list.

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...or using "VALUE NOT IN (1,2,4,8,16,32,64,128)" – afalciano Jan 20 '14 at 14:28
That would be more convenient of course.. Thanks, I'll update the answer – Martin Jan 20 '14 at 14:32

One option would be to use a SQL statement within a Con function. The following example performs the following actions:

  1. Generate a SQL expression from a list of values. Doing this in an automated fashion is important for long lists of values.
  2. Use Con to perform an if/else evaluation on a raster. In this case, all values in the list will be assigned "1" and all others "0".

import arcpy
from arcpy import env
from import *
arcpy.CheckOutExtension = "Spatial"

vals = [1,2,4,8,16,32,64,128]
inRaster = r'C:\temp\example.tif'
new = []

# Generate a SQL expression from the "vals" list
for i in vals:
    new.append("value " + "= " + str(i) + " OR ")
    expression = ''.join(new)[:-4]

# Use Con to convert all raster values from the "vals" list to 1 and all others to 0
outCon = Con(inRaster, 1, 0, expression)"C:/temp/revisedRaster.tif")
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