Summary
Creates a raster object in which each pixel contains the specified percentile value across multiple rasters.
Discussion
The referenced raster dataset for the raster object is temporary. To make it permanent, you can call the raster object's save method.
Syntax
Percentile (rasters, {percentile_values}, {percentile_interpolation_type}, {extent_type}, {cellsize_type}, {ignore_nodata}, {process_as_multiband})
Parameter | Explanation | Data Type |
rasters [rasters,...] | The list of input rasters. | Raster |
percentile_values | The percentile value to calculate. (The default value is 90) | Double |
percentile_interpolation_type | The interpolation method used when the specified percentile value lies between two input cell values.
(The default value is 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.
(The default value is 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.
(The default value is FirstOf) | String |
ignore_nodata | Specifies whether NoData values will be ignored in the calculation.
(The default value is False) | Boolean |
process_as_multiband | Specifies how the bands of the input rasters will be processed.
(The default value is False) | Boolean |
Data Type | Explanation |
Raster | The output raster. |
Code sample
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)