Batch reclassifying rasters in folder using ArcPy?

Question

I am very new to python. I am using ArcGIS 10.0. I am trying to batch reclassify rasters in a folder and put the outputs into the same folder but with a new name(trying to do this using outputPrefix). this is the script I made:

import arcpy
from arcpy import os
from arcpy.sa import *
inputDir = "E:\BLSK_HSI\practiceLC"
outputDir = "E:\BLSK_HSI\practiceLC"
outputPrefix = "Rec_"
rasList = arcpy.ListRasters()
for raster in rasList:
 reclassField = "VALUE"
 remap = RemapValue([[11,1], [21, 5], [22, 3], [23, 2], [24, 1], [31, 6], [41, 3], [52, 3], [71, 3], [82,3], [90,4], [95, 4]])
 outReclassify = Reclassify(raster, "VALUE",remap, "NODATA")
 outReclassify.save(outputDir)

and I get this error message:

Start Time: Wed May 13 12:06:07 2015
The input raster minimum (-3.1652371883392334) is out of range.
To ensure a correct reclassification, edit ranges or use a different precision settings in the Reclassification dialog box.
The input raster maximum (4.0050506591796875) is out of range.
To ensure a correct reclassification, edit ranges or use a different precision settings in the Reclassification dialog box.
ERROR 010414: Error in creating a Raster from a geodataset.
Failed to execute (Reclassify).
Failed at Wed May 13 12:06:07 2015 (Elapsed Time: 0.00 seconds)

I calculated statistics, built pyramids, etc. Is there something inherently wrong with my code?

Answer 1

When saving the raster, you're using outputDir which is a folder, not a valid raster path. Also keep in mind too that your input folder and output folder are the same, so you're also setting up a situation where you'll be overwriting your inputs with your outputs.

For the save, could do something like this:

outRasterName = '{}{}'.format(outputPrefix, raster)
r.save(os.path.join(outputDir, outRasterName))

I would also create a separate folder to distinguish between your inputs and outputs.

You may also want to consider using RemapRange and not RemapValue. Most of those warning messages are coming because you have raster values that don't exactly match with the values you are using in RemapValue.