Raster
Récapitulatif
Creates a raster object that can be used in Python scripting or in a Spatial Analyst Map Algebra expression. A raster object is a variable which references a raster dataset.
A raster object can be created in two ways, from any Spatial Analyst Map Agebra statement that results in a raster output or by supplying an existing raster on disk.
Discussion
Any Spatial Analyst Map Algebra tool or operator (see Working with operators) that produces an output raster to the left of the equal sign creates a raster object. For example, in the following expression, outRas is a raster object.
outRas = Slope("inelevation")
When a raster object is returned from a Map Algebra expression, by default the object (the variable and associated dataset) is temporary.
The temporary dataset associated with a raster object can become permanent:
- By calling the save method on the raster object.
- Call Make Permanent by right-clicking on the layer with an associated raster object in the TOC and specifying an output name.
- Saving the the map project (.MXD, 3DD, etc) that contains any layers with associated raster objects.
In case 3, the dataset referenced by the raster object will automatically be permanently saved to disk with a default name.
If the referenced raster is not made permanant by any of the three cases above, the variable and the referenced raster dataset will be deleted when the variable goes out of scope, such as when a stand-alone script is completed or ArcGIS is closed. When a raster object references permanant data on disk, the data is not deleted.
The raster object created from existing data can be used in subsequent Spatial Analyst Map Algebra expressions and will have all the associated properties and methods.
# outRas is a resultant raster object
outRas = Raster("C:/Data/inraster") Certain operators exist in both Spatial Analyst Map Algebra and in Python. If you want an operator to work on rasters (as opposed to scalars) the input rasters must be cast as a raster object by calling the Raster class constructor: Raster("inRaster").
# The Spatial Analyst plus operator is used on the input rasters creating
# an output raster object
outRas = Raster("input1") + Raster("input2")
# The Python plus operator is used on numbers creating a scalar variable
outVar = 4 + 7
# When there is a mix of rasters with numbers the Spatial Analyst
# operator is used creating an output raster object
outRas = Raster("input") + 10Certain properties associated with the raster object are only available if the referenced raster dataset is permanent. When the referenced raster dataset is temporary, these properties will be assigned None. The affected properties are catalogPath, compressionType, format, hasRAT, name, and path.
Once permanent, the referenced raster dataset cannot return to the temporary state.
Syntaxe
| Paramètre | Explication | Type de données |
inRaster |
The input raster dataset. | Raster |
Propriétés
| Propriété | Explication | Type de données |
| bandCount (Lecture seule) |
The number of bands in the referenced raster dataset. | Integer |
| catalogPath (Lecture seule) |
The full path and the name of the referenced raster dataset. | String |
| compressionType (Lecture seule) |
The compression type. The following are the available types:
| String |
| extent (Lecture seule) |
The extent of the referenced raster dataset. | Extent |
| format (Lecture seule) |
The raster format
| String |
| hasRAT (Lecture et écriture) |
Identifies if there is an associated attribute table: True if an attribute table exists or False if no attribute table exists. | Boolean |
| height (Lecture seule) |
The number of rows. | Integer |
| isInteger (Lecture seule) |
The integer state: True if the raster dataset has integer type. | Boolean |
| isTemporary (Lecture seule) |
The state of the referenced raster dataset: True if the raster dataset is temporary or False if permanent. | Boolean |
| maximum (Lecture seule) |
The maximum value in the referenced raster dataset. | Double |
| mean (Lecture seule) |
The mean value in the referenced raster dataset. | Double |
| meanCellHeight (Lecture seule) |
The cell size in the y direction. | Double |
| meanCellWidth (Lecture seule) |
The cell size in the x direction. | Double |
| minimum (Lecture seule) |
The minimum value in the referenced raster dataset. | Double |
| name (Lecture seule) |
The name of the referenced raster dataset. | String |
| noDataValue (Lecture seule) |
The NoData value of the referenced raster dataset. | Double |
| path (Lecture seule) |
The full path and name of the referenced raster dataset. | String |
| pixelType (Lecture seule) |
The pixel type of the referenced raster dataset. The types are
| String |
| spatialReference (Lecture seule) |
The spatial reference of the referenced raster dataset. | SpatialReference |
| standardDeviation (Lecture seule) |
The standard deviation of the values in the referenced raster dataset. | Double |
| uncompressedSize (Lecture seule) |
The size of the referenced raster dataset on disk. | Double |
| width (Lecture seule) |
The number of columns. | Integer |
Vue d'ensemble des méthodes
| Méthode | Explication |
| save ({name}) |
Permanently saves the dataset the raster object references. |
Méthodes
| Paramètre | Explication | Type de données |
name |
The name to assign to the raster dataset on disk. | String |
Exemple de code
Creates a Raster object from a raster dataset and gets properties for analysis.
import arcpy
myRaster = arcpy.Raster('elevation')
myMin = myRaster.minimum
myMax = myRaster.maximum
myArea = (myRaster.width * myRaster.height) * myRaster.meanCellWidth
Creates a Raster object, gets properties, creates a random error raster (+/- 3 feet), adds it to an elevation raster, and convert its units from feet to meters.
import arcpy
from arcpy.sa import *
elevRaster = Raster('C:/data/elevation')
myExtent = elevRaster.extent
myCellsize = (elevRaster.meanCellHeight + elevRaster.meanCellWidth) / 2
res01 = arcpy.CreateRandomRaster_management("","error3","UNIFORM 0.0 3.0",myExtent, myCellsize)
elev_meters = (elevRaster + Raster(res01)) * 0.3048
elev_meters.save("C:/output/fgdb.gdb/elevM_err")