# Check out the ArcGIS Spatial Analyst extension license Or am I just doing something dumb with the Python syntax. Reclassify merupakan salah satu tool di ArcGIS yang digunakan untuk membuat klasifikasi ulang agar sesuai dengan kelas yang digunakan sebagai parameter pengolahan data. So the row.BIOME_X variable is definitely storing the 1 or 0 value. This tool has a precision control that manages how decimal places are treated. Select the unique or classification options to generate a new reclassification. Select and delete the remap entries and manually add the new values. import arcpy from arcpy import env from arcpy.sa import import os 1 Check out the ArcGIS Spatial Analyst extension license arcpy. The cursor has all of the values from the SQL Server Express table based on the select query, and I can access the data through the cursor object's row parameter. Edit or select a field for the reclass field to invoke a new default reclassification. Reclassify ESRI raster using variables from a SQL Server table (connecting with pyodbc) Ask Question Asked 9 years, 4 months ago. Unfortunately, I keep getting the following error: TypeError: list indices must be integers, not tuple
Then I want to assign each column value to the output raster value in the remap statement (see code attached). In PythonWin, I'm using pyodbc to connect to the SQL Server Express database table, then executing a select query statement to collect the values for a species record (row) into the pyodbc cursor. The vegetation raster will then be reclassified to two values, "1" or "0", based on the values associated with the species record (this will be slightly different for each species). Each vegetation type is coded as either "1" if it is suitable habitat for that species, or "0" if it's unsuitable.
I have a set of ~400 species records in the table, with each row representing a different species, and a column for each vegetation type.
I am trying to reclass a raster file (representing vegetation and land cover types) using values stored in a SQL Server Express table.