Resumen
Creates a raster object in which each pixel contains the value that occurs least often across multiple rasters.
Debate
The referenced raster dataset for the raster object is temporary. To make it permanent, you can call the raster object's save method.
Sintaxis
Minority (rasters, {extent_type}, {cellsize_type}, {ignore_nodata}, {process_as_multiband})
Parámetro | Explicación | Tipo de datos |
rasters [rasters,...] | The list of input rasters. | Raster |
extent_type | The method that will be used to compute the extent of the output when the input rasters have different extents.
(El valor predeterminado es FirstOf) | String |
cellsize_type | The method that will be used to compute the pixel size of the output when the input rasters have different pixel sizes.
(El valor predeterminado es FirstOf) | String |
ignore_nodata | Specifies whether NoData values will be ignored in the calculation.
(El valor predeterminado es False) | Boolean |
process_as_multiband | Specifies how the bands of the input rasters will be processed.
(El valor predeterminado es False) | Boolean |
Tipo de datos | Explicación |
Raster | The output raster. |
Muestra de código
Calculates the value that occurs least often across three multiband rasters.
from arcpy.ia import *
rc = RasterCollection([landsat_1, landsat_2, landsat_3])
minority_raster = Minority(rc, extent_type = "UnionOf", cellsize_type = "MinOf",
ignore_nodata = True, process_as_multiband = True)