Rotate (Data Management)

Summary

Turns a raster dataset around a specified pivot point.

Illustration

Rotate 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 your output to BIL, BIP, BMP, BSQ, DAT, Esri Grid , GIF, IMG, JPEG, JPEG 2000, PNG, TIFF, MRF, CRF, or any geodatabase raster dataset.

  • When storing your raster dataset to a JPEG file, a JPEG 2000 file, or a geodatabase, you can specify a Compression Type and Compression Quality in the 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

LabelExplanationData 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, you need to specify the file extension:

  • .bilEsri BIL
  • .bipEsri BIP
  • .bmp—BMP
  • .bsqEsri 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)

The resampling algorithm to be used. The default is Nearest.

  • Nearest neighbor — Nearest neighbor is the fastest resampling method; it minimizes changes to pixel values since no new values are created. It is suitable for discrete data, such as land cover.
  • Bilinear interpolation — Bilinear interpolation 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 — Cubic convolution 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 — Majority resampling determines the value of each pixel based on the most popular value in a 3 by 3 window. 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})
NameExplanationData 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, you need to specify the file extension:

  • .bilEsri BIL
  • .bipEsri BIP
  • .bmp—BMP
  • .bsqEsri 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)

The resampling algorithm to be used. The default is Nearest.

  • NEAREST Nearest neighbor is the fastest resampling method; it minimizes changes to pixel values since no new values are created. It is suitable for discrete data, such as land cover.
  • BILINEAR Bilinear interpolation 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 Cubic convolution 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.
  • MAJORITYMajority resampling determines the value of each pixel based on the most popular value in a 3 by 3 window. 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 since it is the quickest and also because it will not change the cell values. Do not use either of these for continuous data, such as elevation surfaces.

The Bilinear option and the Cubic option are most appropriate for continuous data. It is recommended that neither of these be used with categorical data because the cell 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")

Licensing information

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

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