Percentile

Resumen

Creates a raster object in which each pixel contains the specified percentile value 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

Percentile (rasters, {percentile_values}, {percentile_interpolation_type}, {extent_type}, {cellsize_type}, {ignore_nodata}, {process_as_multiband})
ParámetroExplicaciónTipo de datos
rasters
[rasters,...]

The list of input rasters.

Raster
percentile_values

The percentile value to calculate.

(El valor predeterminado es 90)

Double
percentile_interpolation_type

The interpolation method used when the specified percentile value lies between two input cell values.

  • AUTO_DETECTIf the input raster collection is integer type, the NEAREST method is used. If the input raster collection is floating point type, the LINEAR method is used.
  • NEARESTThe nearest available value to the specified percentile is used. The output pixel type will match the input.
  • LINEARThe weighted average of the two surrounding percentile values is used. The output pixel type is floating point.

(El valor predeterminado es AUTO_DETECT)

String
extent_type

The method that will be used to compute the extent of the output when the input rasters have different extents.

  • FirstOfThe output extent will be defined using the extent of the first input raster.
  • LastOfThe output extent will be defined using the extent of the last input raster.
  • IntersectionOfThe output extent will be defined as the intersecting area of the input rasters.
  • UnionOfThe output extent will be defined as the total extent of the input rasters.

(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.

  • FirstOfThe output pixel size will be defined using the pixel size of the first input raster.
  • LastOfThe output pixel size will be defined using the pixel size of the last input raster.
  • MaxOfThe output pixel size will be defined using the maximum pixel size of the input rasters.
  • MeanOfThe output pixel size will be defined using the mean of both input rasters.
  • MinOfThe output pixel size will be defined using the minimum pixel size of the input rasters.

(El valor predeterminado es FirstOf)

String
ignore_nodata

Specifies whether NoData values will be ignored in the calculation.

  • True—The analysis will include all valid pixels in the input rasters and ignore any NoData pixels.
  • False—The analysis will result in NoData if there are any NoData values for the pixels in the input rasters.

(El valor predeterminado es False)

Boolean
process_as_multiband

Specifies how the bands of the input rasters will be processed.

  • True—Each multiband raster will be processed as a multiband raster. The operation will be performed for each band from one input using the corresponding band number from other inputs.
  • False—Each band from a multiband raster input will be processed separately as a single-band raster.

(El valor predeterminado es False)

Boolean
Valor de retorno
Tipo de datosExplicación
Raster

The output raster.

Muestra de código

Percentile example

Computes a raster object that contains the 90th percentile value across three multiband rasters.

from arcpy.ia import * 

rc = RasterCollection([landsat_1, landsat_2, landsat_3]) 

percentile_raster = Percentile(rc, percentile_value = 90, percentile_interpolation_type = "AUTO_DETECT", extent_type = "UnionOf", cellsize_type = "MinOf", 
		ignore_nodata = True, process_as_multiband = True)