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Feroz Abdul-Kadar edited this page Sep 13, 2014 · 39 revisions

Python Raster Function

XXX. Class name defaults to module name unless specified in the Python Adapter function's property page.

.getParameterInfo()

This method returns information on each parameter to your function as a list of dictionaries.

def getParameterInfo(self):
    return [
        {
            'name': 'raster',
            'dataType': 'raster',
            'value': None,
            'required': True,
            'displayName': "Raster",
            'description': "The primary multi-band input raster containing red and infrared bands."
        },
        {
            'name': 'method',
            'dataType': 'string',
            'value': 'Colormap',
            'required': False,
            'domain': ('Raw', 'Grayscale', 'Colormap'),
            'displayName': "Output Image Type",
            'description': "The type of output expected from this function. Specify Raw for scientific analysis. Pick Grayscale or Colomap for visualization."
        },
    ]

.getConfiguration()

This method can manage how the output raster is pre-constructed gets. This method, if defined, controls aspects of parent dataset based on all scalar (non-raster) user inputs. It's invoked after .getParameterInfo() but before .updateRasterInfo().

It returns a dictionary describing the configuration. These are the recognized configuration attributes:

#####extractBands Optional Tuple(int) Default: None

A tuple containing indexes of bands of the input raster that need to be extracted. The first band has index 0. If unspecified, all bands of the input raster are available in .updatePixels()

#####compositeRasters Optional Boolean Default: False

A boolean indicating whether all input rasters are composited as a single multi-band raster. If set to True, a raster by the name 'compositeraster' is available in updateRasterInfo() and .updatePixels().

#####inheritProperties Optional Integer Default: 0xFF

Bitwise-OR'd integer that indicates the set of input raster properties that are inherited by the output raster. If unspecified, all properties are inherited. These are the recognized values:

Value Description
1 Pixel type
2 NoData
4 Dimensions (spatial reference, extent, and cell-size)
8 Resampling type

#####invalidateProperties Optional Integer Default: 0

A flag constructed as a bitwise-OR'd integer indicating the set of properties of the parent dataset that needs to be invalidated. If unspecified, no property gets invalidated. These are the recognized values:

Value Description
1 XForm stored by the function raster dataset
2 Statistics stored by the function raster dataset
4 Histogram stored by the function raster dataset
8 The key properties stored by the function raster dataset

#####padding Optional Integer Default: 0

The number of extra pixels needed on each side of input pixel blocks.

#####inputMask Optional Boolean Default: False

Boolean indicating whether NoData mask arrays associated with all input rasters are needed by this function for proper construction of output pixels and mask. If set to True, the input masks are made available in the pixelBlocks keyword argument in .updatePixels(). For improved performance, input masks are not made available if attribute is unspecified.

.updateRasterInfo()

This method, if defined, updates information that defines the output raster. It's invoked after .getConfiguration() and each time the dataset containing the python raster function is initialized.

def updateRasterInfo(self, **kwargs):
    kwargs['output_info']['bandCount'] = 1      # output is a single band raster
    kwargs['output_info']['statistics'] = ({'minimum': 0.0, 'maximum': 180}, )  # we know something about the stats of the outgoing HeatIndex raster. 
    kwargs['output_info']['histogram'] = ()     # we know nothing about the histogram of the outgoing raster.
    kwargs['output_info']['pixelType'] = 'f4'   # bit-depth of the outgoing HeatIndex raster based on user-specified parameters
    return kwargs

The keyword argument kwargs contains all user-specified scalar values and information associated with each input rasters. Use kwargs['x'] to obtain the user-specified value of the scalar whose name attribute is x in the .getParameterInfo().

If x represents a raster, kwargs['x_info'] will be a dictionary representing the the information associated with the raster. Access aspects of a particular raster's information like this: kwargs['<rasterName>_info']['<propertyName>'] where corresponds to a raster parameter where 'rasterName' is the value of the 'name' attribute of the parameter. and is an aspect of the raster information.

If represents a parameter of type rasters (dataType='rasters'), then kwargs['<rasterName>_info'] is a tuple of raster-info dictionaries.

kwargs['output_info'] is always available and populated with values inherited from the first raster parameter and based on the attributes returned by .getConfiguration().

These are the properties associated with a raster information:

#####bandCount Integer

Representing the number of bands in the raster.

#####pixelType String

representation of pixel type of the raster. These are the allowed values: {t1, t2, t4, i1, i2, i4, u1, u2, u4, f4, f8} cf: http://docs.scipy.org/doc/numpy/reference/arrays.interface.html

#####noData ndarray(<bandCount> x <dtype>)

An array of one value per raster band representing NoData.

#####cellSize Tuple(2 x floats)

representing cell-size in the x- and y-direction.

#####nativeExtent Tuple(4 x floats)

representing XMin, YMin, XMax, YMax values of the native image coordinates.

#####nativeSpatialReference Int

representing the EPSG code of the native image coordinate system.

#####geodataXform String

representation of the associated XForm between native image and map coordinate systems.

#####extent Tuple(4 x floats)

representing XMin, YMin, XMax, YMax values of the map coordinates.

#####spatialReference Int

representing the EPSG code of the raster's map coordinate system.

#####colormap Tuple(ndarray(int32), 3 x ndarray(uint8))

A tuple of four arrays where the first array contains 32-bit integers corresponding to pixel values in the indexed raster. The subsequent three arrays contain unsigned 8-bit integers corresponding to the Red, Green, and Blue components of the mapped color. The sizes of all arrays must match and correspond to the number of colors in the RGB image.

#####rasterAttributeTable Tuple(String, Tuple(Strings))

A tuple of a string representing the path of the attribute table, and another tuple representing field names. Use the information in this tuple with arcpy.da.TableToNumPyArray() to access the values.

#####levelOfDetails Int

The number of level of details in the input raster.

#####origin Tuple(Floats)

Tuple of x- and y-coordinate of the origin.

#####resampling Boolean

#####bandSelection Boolean

#####histogram Tuple(numpy.ndarrays)

Tuple where each entry is an array of histogram values of a band.

#####statistics Tuple(dicts)

Tuple of statistics values. Each entry in the tuple is a dictionary containing the following attributes of band statistics:

Attribute Data Type Description
minimum Float Approximate lowest value.
maximum Float Approximate highest value.
mean Float Approximate average value.
standardDeviation Float Approximate measure of spread of values about the mean.
skipFactorX Int Number of horizontal pixels between samples when calculating statistics.
skipFactorY Int Number of vertical pixels between samples when calculating statistics.

Note:

  • The tuple in cellSize and maximumCellSize attributes can be used to construct an arcpy.Point object.
  • The tuple in extent, nativeExtent and origin attributes can be used to construct an arcpy.Extent object.
  • The EPSG code in nativeSpatialReference and spatialReference attributes can be used to construct an arcpy.SpatialReference object.

Returns

A dictionary containing output raster info. This method can update the values of the dictionary in kwargs['output_info'] depending on the kind of operation in .updatePixels()

.updatePixels()

This method can provide output pixels based on pixel blocks associated with all input rasters. A python raster function that doesn't actively modify output pixel values doesn't need to define this method.

Arguments

#####tlc Tuple(2 x floats)

representing the coordinates of the top-left corner of the pixel request.

#####shape Tuple(ints)

representing the shape of ndarray that defines the output pixel block. For a single-band pixel block, the tuple contains two ints (rows, columns). For multi-band output raster, the tuple defines a three-dimensional array (bands, rows, columns). The shape associated with the outgoing pixel block and mask must match this argument's value.

#####props

A dictionary containing properties that define the output raster from which a pixel block--of dimension and location is defined by the 'shape' and 'tlc' arguments--is being requested.

These are the available attributes in this dictionary:

  • extent: Tuple(4 x floats) representing XMin, YMin, XMax, YMax values of the output raster's map coordinates.

  • pixelType: String representation of pixel type of the raster. These are the allowed values: {t1, t2, t4, i1, i2, i4, u1, u2, u4, f4, f8} as described here

  • spatialReference: Int representing the EPSG code of the output raster's map coordinate system.

  • cellSize: Tuple(2 x floats) representing cell-size in the x- and y-direction.

  • width: Integer representing number of columns of pixels in the output raster.

  • height: Integer representing number of rows of pixels in the output raster.

  • noData: Tuple(numeric) TODO

#####pixelBlocks

Keyword argument containing pixels and mask associated with each input raster.

For a raster parameter with dataType='raster' and name='x', pixelBlocks['x_pixels'] and pixelBlocks['x_mask'] are numpy.ndarrays of pixel and mask values for that input raster. For a parameter of type rasters (dataType='rasters'), these are tuples of ndarrays--one entry per raster.

The arrays are three-dimensional for multi-band rasters.

Note

  • The pixelBlocks dictionary does not contain any scalars parameters.

Returns

A dictionary with a numpy array containing pixel values in the output_pixels key and, optionally, an array representing the mask in the output_mask key. The shape of both arrays must match the shape argument.

.updateKeyMetadata()

This method can update dataset-level or band-level key metadata. When a request for a dataset's key metadata is made, this method (if present) allows the python raster function to invalidate or overwrite specific requests.

Arguments

#####names

A tuple containing names of the properties being requested. An empty tuple indicates that all properties are being requested.

#####bandIndex

A zero-based integer representing the raster band for which key metadata is being requested. bandIndex == -1 indicates that the request is for dataset-level key properties.

#####keyMetadata

Keyword argument containing all currently known metadata (or a subset as defined by the names tuple).

####Returns The updated keyMetadata dictionary.

.isLicensed()

This method, if defined, indicates whether this python raster function is licensed to execute. This method is invoked soon after the function object is constructed. It enables the python raster function to halt execution--given information about the parent product and the context of execution. It also allows the function to, optionally, indicate the expected product-level and the extension that must be available before execution can proceed.

Arguments

The productInfo keyword argument describes the current execution environment. It contains the following attributes:

  • productName: String representing the name of the product {Desktop, Server, Engine, ...}.
  • version: String representing the version associated with the product.
  • path: String containing the installation path of the product.
  • major: Integer representing the major version number of the product.
  • minor: Float representing the minor version number of the product.
  • build: Integer representing the build number associated with the product.
  • spNumber: Integer representing the service pack number, if applicable.
  • spBuild: Integer representing the service pack build, if applicable.

Returns

A dictionary containing an attribute that indicates whether licensing checks specific to this python raster function has passed. The dictionary may contain additional attributes that control additional licensing checks enforced by the Python Adapter:

  • okToRun: Required Boolean indicating whether it's OK to proceed with the use of this raster function object. This attribute must be present and, specifically, set to False for execution to halt. Otherwise, it's assumed to be True (and, that it's OK to proceed).

#####message Optional String

Representing the message to be displayed to the user or logged when okToRun is False.

#####productLevel Optional String

representing the product license-level expected from the parent application. Allowed values include {Basic, Standard, Advanced}.

#####extension Optional String

representing the name of the extension that must be available before the Python Adapter is allowed to use this raster function. The set of recognized extension names are enumerated here.

def isLicensed(self, **productInfo): 
    major = productInfo.get('major', 0) 
    minor = productInfo.get('minor', 0.0) 
    build = productInfo.get('build', 0)

    return {
        'okToRun': major >= 10 and minor >= 3.0 and build >= 4276,
        'message': "The python raster function is only compatible with ArcGIS 10.3 build 4276",
        'productLevel': 'Standard', 
        'extension': 'Image'
    }
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