Export values of rasters without attribute table

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11-28-2020 04:35 AM
CamiSunley
New Contributor II

Hello, everyone !

I have a file with multiple rasters (stretched - without attribute table - but with only one value e.g. min value = max value) and I am trying to export each raster's value in a table/xls file where the values from all the rasters will have been registered (in a column for example) using model builder or arcpy.

Any suggestion is welcomed, thank you !

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DavidPike
MVP Frequent Contributor

How many rasters have you got? You're saying each raster is made of cells entirely of one value?

Can you post a picture of this?

raster_object = arcpy.Raster(r'C:\MyStuff\Geo\Raster1.tif)
min_value = raster_object.minimum
max_value = raster_object.maximum

 

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DanPatterson
MVP Esteemed Contributor
import arcpy
import numpy as np

arcpy.env.workspace = "c:/data/DEMS"  # --- Set the current workspace
rasters = arcpy.ListRasters("*")
out = []
for raster in rasters:
    inRas = arcpy.Raster(raster)
    arr = arcpy.RasterToNumPyArray(inRas)
    ras_min = np.min(arr)
    out.append([raster, ras_min])
print(out)

# ---- for now, just print it or see
# NumPyArrayToTable

Now, if you have nodata values to account for, then the code will have to be edited, or if the rasters are all over the place, then good luck.

This should give you an idea... but I never tested it, just cobbled together from the help files

NumPyArrayToTable—ArcGIS Pro | Documentation


... sort of retired...

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DavidPike
MVP Frequent Contributor

How many rasters have you got? You're saying each raster is made of cells entirely of one value?

Can you post a picture of this?

raster_object = arcpy.Raster(r'C:\MyStuff\Geo\Raster1.tif)
min_value = raster_object.minimum
max_value = raster_object.maximum

 

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CamiSunley
New Contributor II

I have 1176 rasters. Yes, each raster is made of cells entirely of one value.

raster.JPG

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DavidPike
MVP Frequent Contributor

try the above script on one of the rasters.  If that works, it can easily be put into a for loop to iterate over the 1000.  Unsure if it's the fastest way if you're looking to do this regularly? Maybe @DanPatterson has a numpy method.

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CamiSunley
New Contributor II

Thank you, I' ll try it.. Should I add an 'export' expression after your script so as to save the value in a new table/array ?

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DavidPike
MVP Frequent Contributor

for the moment just use

print(min_value)

Amadeus111
Occasional Contributor II

You can read min values from the each raster and add to a list, then write into an excel file. You might need to download xlswriter library or write into .dbf file and convert to excel file. There are multiple ways writing from list to excel file

import arcpy
import os
import xlsxwriter

raster_list = os.listdir(path/to/rasterfolder)
value_list = []

for each_raster in raster_list:
result = arcpy.GetRasterProperties_management(each_raster, "MINIMUM")
min_value = result.getOutput(0)
value_list.add(min_value)

with xlsxwriter.Workbook('RasterValues.xlsx') as workbook:
worksheet = workbook.add_worksheet()

for row_num, data in enumerate(value_list):
worksheet.write_row(row_num, 0, data)  

 

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CamiSunley
New Contributor II

Thank you, I tried to install xlsxwrite with several ways but "invalid syntax" message is always appeared..

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DanPatterson
MVP Esteemed Contributor
import arcpy
import numpy as np

arcpy.env.workspace = "c:/data/DEMS"  # --- Set the current workspace
rasters = arcpy.ListRasters("*")
out = []
for raster in rasters:
    inRas = arcpy.Raster(raster)
    arr = arcpy.RasterToNumPyArray(inRas)
    ras_min = np.min(arr)
    out.append([raster, ras_min])
print(out)

# ---- for now, just print it or see
# NumPyArrayToTable

Now, if you have nodata values to account for, then the code will have to be edited, or if the rasters are all over the place, then good luck.

This should give you an idea... but I never tested it, just cobbled together from the help files

NumPyArrayToTable—ArcGIS Pro | Documentation


... sort of retired...
CamiSunley
New Contributor II

Thank you, I replaced 'min' with 'max' and it returned the right values, because when I run it for 'min' it returned numbers tending to zero.

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