Rotate (Data Management)—ArcGIS Pro

Summary

Turns a raster dataset around a specified pivot point.

Illustration

Usage

By default, the rotation is around the center point of the raster. The rotation point can be changed using the optional Pivot Point parameter.
Resampling is only done if the angle is not a multiple of 90.
Specify a rotation angle between 0 and 360 to rotate the raster clockwise. To rotate the raster in the counterclockwise direction, specify the angle as a negative value.
You can save the output to BIL, BIP, BMP, BSQ, DAT, Esri Grid, GIF, IMG, JPEG, JPEG 2000, PNG, TIFF, MRF, or CRF format, or any geodatabase raster dataset.
When storing a raster dataset to a JPEG format file, a JPEG 2000 format file, or a geodatabase, you can specify a Compression Type value and a Compression Quality value in the geoprocessing environments.
This tool supports multidimensional raster data. To run the tool on each slice in the multidimensional raster and generate a multidimensional raster output, be sure to save the output to CRF.
Supported input multidimensional dataset types include multidimensional raster layer, mosaic dataset, image service, and CRF.

Parameters

Label	Explanation	Data Type
Input Raster	The raster dataset to rotate.	Mosaic Layer; Raster Layer
Output Raster Dataset	The name, location, and format for the dataset you are creating. When storing a raster dataset in a geodatabase, do not add a file extension to the name of the raster dataset. When storing your raster dataset to a JPEG file, a JPEG 2000 file, a TIFF file, or a geodatabase, you can specify a compression type and compression quality. When storing the raster dataset in a file format, specify the file extension as follows: .bil—Esri BIL .bip—Esri BIP .bmp—BMP .bsq—Esri BSQ .dat—ENVI DAT .gif—GIF .img—ERDAS IMAGINE .jpg—JPEG .jp2—JPEG 2000 .png—PNG .tif—TIFF .mrf—MRF .crf—CRF No extension for Esri Grid	Raster Dataset
Angle	Specify a value between 0 and 360 degrees the raster will be rotated in the clockwise direction. To rotate the raster in the counterclockwise direction, specify the angle as a negative value. The angle can be specified as an integer or a floating-point value.	Double
Pivot Point (Optional)	The point the raster will rotate around. If left blank, the lower left corner of the input raster dataset will serve as the pivot.	Point
Resampling Technique (Optional)	Specifies the resampling technique that will be used. The default is Nearest. The Nearest and Majority options are used for categorical data, such as a land-use classification. The Nearest option is the default. It is the quickest and does not change the pixel values. Do not use either of these options for continuous data, such as elevation surfaces. The Bilinear and Cubic options are most appropriate for continuous data. It is recommended that you do not use either of these options with categorical data because the pixel values may be altered. Nearest neighbor— The nearest neighbor technique will be used. It minimizes changes to pixel values since no new values are created and is the fastest resampling technique. It is suitable for discrete data, such as land cover. Bilinear interpolation— The bilinear interpolation technique will be used. It calculates the value of each pixel by averaging (weighted for distance) the values of the surrounding four pixels. It is suitable for continuous data. Cubic convolution—The cubic convolution technique will be used. It calculates the value of each pixel by fitting a smooth curve based on the surrounding 16 pixels. This produces the smoothest image but can create values outside of the range found in the source data. It is suitable for continuous data. Majority resampling—The majority resampling technique will be used. It determines the value of each pixel based on the most popular value in a 4 by 4 window. It is suitable for discrete data.	String
Clipping Extent (Optional)	The processing extent of the raster dataset. The source data will be clipped to the specified extent before rotation. Default—The extent will be based on the maximum extent of all participating inputs. This is the default. Current Display Extent—The extent is equal to the data frame or visible display. The option is not available when there is no active map. As Specified Below—The extent will be based on the minimum and maximum extent values specified. Browse—The extent will be based on an existing dataset.	Extent

arcpy.management.Rotate(in_raster, out_raster, angle, {pivot_point}, {resampling_type}, {clipping_extent})

Name	Explanation	Data Type
in_raster	The raster dataset to rotate.	Mosaic Layer; Raster Layer
out_raster	The name, location, and format for the dataset you are creating. When storing a raster dataset in a geodatabase, do not add a file extension to the name of the raster dataset. When storing your raster dataset to a JPEG file, a JPEG 2000 file, a TIFF file, or a geodatabase, you can specify a compression type and compression quality. When storing the raster dataset in a file format, specify the file extension as follows: .bil—Esri BIL .bip—Esri BIP .bmp—BMP .bsq—Esri BSQ .dat—ENVI DAT .gif—GIF .img—ERDAS IMAGINE .jpg—JPEG .jp2—JPEG 2000 .png—PNG .tif—TIFF .mrf—MRF .crf—CRF No extension for Esri Grid	Raster Dataset
angle	Specify a value between 0 and 360 degrees the raster will be rotated in the clockwise direction. To rotate the raster in the counterclockwise direction, specify the angle as a negative value. The angle can be specified as an integer or a floating-point value.	Double
pivot_point (Optional)	The point the raster will rotate around. If left blank, the lower left corner of the input raster dataset will serve as the pivot.	Point
resampling_type (Optional)	Specifies the resampling technique that will be used. The default is Nearest. NEAREST— The nearest neighbor technique will be used. It minimizes changes to pixel values since no new values are created and is the fastest resampling technique. It is suitable for discrete data, such as land cover. BILINEAR— The bilinear interpolation technique will be used. It calculates the value of each pixel by averaging (weighted for distance) the values of the surrounding four pixels. It is suitable for continuous data. CUBIC—The cubic convolution technique will be used. It calculates the value of each pixel by fitting a smooth curve based on the surrounding 16 pixels. This produces the smoothest image but can create values outside of the range found in the source data. It is suitable for continuous data. MAJORITY—The majority resampling technique will be used. It determines the value of each pixel based on the most popular value in a 4 by 4 window. It is suitable for discrete data. The Nearest and Majority options are used for categorical data, such as a land-use classification. The Nearest option is the default. It is the quickest and does not change the pixel values. Do not use either of these options for continuous data, such as elevation surfaces. The Bilinear and Cubic options are most appropriate for continuous data. It is recommended that you do not use either of these options with categorical data because the pixel values may be altered.	String
clipping_extent (Optional)	The processing extent of the raster dataset. The source data will be clipped to the specified extent before rotation. MAXOF—The maximum extent of all inputs will be used. MINOF—The minimum area common to all inputs will be used. DISPLAY—The extent is equal to the visible display. Layer name—The extent of the specified layer will be used. Extent object—The extent of the specified object will be used. Space delimited string of coordinates—The extent of the specified string will be used. Coordinates are expressed in the order of x-min, y-min, x-max, y-max.	Extent

Code sample

Rotate example 1 (Python window)

This is a Python sample for the Rotate tool.

import arcpy
arcpy.Rotate_management("c:/data/image.tif", "c:/output/rotate.tif", "30",\
                        "1940000 304000", "BILINEAR")

Rotate example 2 (stand-alone script)

This is a Python script sample for the Rotate tool.

##====================================
##Rotate
##Usage: Rotate_management in_raster out_raster angle {pivot_point} {NEAREST | BILINEAR | CUBIC | MAJORITY}
    
import arcpy

arcpy.env.workspace = r"C:/Workspace"
pivot_point = "1942602 304176"

##Rescale a TIFF image by a factor of 4 in both directions
arcpy.Rotate_management("image.tif", "rotate.tif", "30", pivot_point, "BILINEAR")

Environments

Compression, Current Workspace, Extent, Geographic Transformations, NoData, Output CONFIG Keyword, Output Coordinate System, Parallel Processing Factor, Pyramid, Raster Statistics, Resampling Method, Scratch Workspace, Snap Raster, Tile Size

Licensing information

Basic: Yes
Standard: Yes
Advanced: Yes