PixelBlock

サマリー

Defines a group or block of pixels to include for raster processing. The PixelBlockCollection object is made up of one or more PixelBlock objects.

ディスカッション

The PixelBlock object defines a block of pixels within a raster to use for processing. It is used in conjunction with the PixelBlockCollection object to iterate through one or more large rasters for processing.

構文

PixelBlock(data, extent)

名前	説明	データ タイプ
data	A NumPy array containing the pixel values for the pixel block. If the raster is not multidimensional, the shape of the array should be (rows, columns, bands). If the raster is multidimensional, the shape of the array should be (slices, rows, columns, bands).	NumPyArray
extent	The spatial extent of the pixel block.	Extent

プロパティ

名前	説明	データ タイプ
cell_size (読み取り専用)	The cell size of the pixels in the pixel block. This is a tuple containing the cell size in the x-direction and the y-direction (x-size, y-size).	tuple
tlc (読み取り専用)	The coordinates of the pixel block's upper left corner.	Point
spatial_reference (読み取り専用)	The spatial reference of the exported image. Supported options include the following: None SpatialReference data type ICS or ICS:<object_id>, where object_id selects the specific raster whose image coordinate system should be used. If a value is not specified, the spatial reference of the raster dataset is used.	SpatialReference

方法

getData()

Returns the NumPy array within the pixel block.

戻り値

データ タイプ	説明
NumPyArray	The NumPy array object from the pixel block.

コードのサンプル

PixelBlock example

Iterates through pixel blocks to calculate the total area of forest in a land cover raster.

import arcpy

# Specify the input raster
in_raster = arcpy.Raster("landcover.tif")

# Create a PixelBlockCollection

blockCollection = arcpy.ia.PixelBlockCollection(
    in_raster, pixel_block_size = (512, 512), nodata_to_values = -1)
forest_cell_count = 0

# Iterate through each PixelBlock

try:
    while True:
        pixelblock = next(blockCollection)
        np_array = pixelblock.getData()
        forest_cell_count += np.count_nonzero(np_array == 1) # value = 1 is forest class
except StopIteration:
    pass
print("total forest pixels : " + str(forest_cell_count))