Build Multidimensional Transpose (Data Management)

Summary

Transposes a multidimensional raster dataset, which divides the multidimensional data along each dimension to optimize performance when accessing pixel values across all slices.

Legacy:

This is a deprecated tool. The Build Multidimensional Transpose tool has been moved to the Multidimensional toolbox.

Usage

  • The input multidimensional raster must be in Cloud Raster Format (CRF). Currently, no other formats are supported.

  • The Build Multidimensional Transpose tool enhances performance when accessing pixel values across all slices in a large multidimensional dataset, for example when you create a temporal profile chart for daily sea surface temperature values across 10 years.

Parameters

LabelExplanationData Type
Input Multidimensional Raster

The input CRF multidimensional raster dataset.

Raster Layer

Derived Output

LabelExplanationData Type
Output Multidimensional Raster

The updated CRF multidimensional raster dataset.

Raster Dataset

arcpy.management.BuildMultidimensionalTranspose(in_multidimensional_raster)
NameExplanationData Type
in_multidimensional_raster

The input CRF multidimensional raster dataset.

Raster Layer

Derived Output

NameExplanationData Type
updated_multidimensional_raster

The updated CRF multidimensional raster dataset.

Raster Dataset

Code sample

BuildMultidimensionalTranspose example 1 (Python window)

This is a Python sample for the BuildMultidimensionalTranspose tool.

import arcpy
## Build the transpose for a sea surface temperature CRF dataset
arcpy.management.BuildMultidimensionalTranspose(
	"C:/Multidimensional/SST_1992_2018")
BuildMultidimensionalTranspose example 2 (stand-alone script)

This is a Python script sample for the BuildMultidimensionalTranspose tool.

## import arcpy and set workspace

import arcpy
arcpy.env.workspace = "C:/Workspace/data"

## Build the transpose for a CRF of temperature data

arcpy.management.BuildMultidimensionalTranspose(
	"Temperature_CRF")

Licensing information

  • Basic: Yes
  • Standard: Yes
  • Advanced: Yes

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