本文整理匯總了Python中django.contrib.gis.gdal.raster.const.GDAL_RESAMPLE_ALGORITHMS屬性的典型用法代碼示例。如果您正苦於以下問題：Python const.GDAL_RESAMPLE_ALGORITHMS屬性的具體用法？Python const.GDAL_RESAMPLE_ALGORITHMS怎麽用？Python const.GDAL_RESAMPLE_ALGORITHMS使用的例子？那麽, 這裏精選的屬性代碼示例或許可以為您提供幫助。您也可以進一步了解該屬性所在類django.contrib.gis.gdal.raster.const的用法示例。
在下文中一共展示了const.GDAL_RESAMPLE_ALGORITHMS屬性的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: transform
# 需要導入模塊: from django.contrib.gis.gdal.raster import const [as 別名]
# 或者: from django.contrib.gis.gdal.raster.const import GDAL_RESAMPLE_ALGORITHMS [as 別名]
def transform(self, srid, driver=None, name=None, resampling='NearestNeighbour',
max_error=0.0):
"""
Returns a copy of this raster reprojected into the given SRID.
"""
# Convert the resampling algorithm name into an algorithm id
algorithm = GDAL_RESAMPLE_ALGORITHMS[resampling]
# Instantiate target spatial reference system
target_srs = SpatialReference(srid)
# Create warped virtual dataset in the target reference system
target = capi.auto_create_warped_vrt(
self._ptr, self.srs.wkt.encode(), target_srs.wkt.encode(),
algorithm, max_error, c_void_p()
)
target = GDALRaster(target)
# Construct the target warp dictionary from the virtual raster
data = {
'srid': srid,
'width': target.width,
'height': target.height,
'origin': [target.origin.x, target.origin.y],
'scale': [target.scale.x, target.scale.y],
'skew': [target.skew.x, target.skew.y],
}
# Set the driver and filepath if provided
if driver:
data['driver'] = driver
if name:
data['name'] = name
# Warp the raster into new srid
return self.warp(data, resampling=resampling, max_error=max_error)