本文整理汇总了Python中osgeo.gdal.GDT_Int16方法的典型用法代码示例。如果您正苦于以下问题：Python gdal.GDT_Int16方法的具体用法？Python gdal.GDT_Int16怎么用？Python gdal.GDT_Int16使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类osgeo.gdal的用法示例。
在下文中一共展示了gdal.GDT_Int16方法的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: getNumpyType
# 需要导入模块: from osgeo import gdal [as 别名]
# 或者: from osgeo.gdal import GDT_Int16 [as 别名]
def getNumpyType(self, pixelType = gdal.GDT_Byte):
'''
Translates the gdal raster type to numpy type
pixelType: gdal raster type
'''
if pixelType == gdal.GDT_Byte:
return numpy.uint8
elif pixelType == gdal.GDT_UInt16:
return numpy.uint16
elif pixelType == gdal.GDT_Int16:
return numpy.int16
elif pixelType == gdal.GDT_UInt32:
return numpy.uint32
elif pixelType == gdal.GDT_Int32:
return numpy.int32
elif pixelType == gdal.GDT_Float32:
return numpy.float32
elif pixelType == gdal.GDT_Float64:
return numpy.float64 示例2: getNumpyType
# 需要导入模块: from osgeo import gdal [as 别名]
# 或者: from osgeo.gdal import GDT_Int16 [as 别名]
def getNumpyType(self, pixelType = gdal.GDT_Byte):
"""
Translates the gdal raster type to numpy type
pixelType: gdal raster type
"""
if pixelType == gdal.GDT_Byte:
return numpy.uint8
elif pixelType == gdal.GDT_UInt16:
return numpy.uint16
elif pixelType == gdal.GDT_Int16:
return numpy.int16
elif pixelType == gdal.GDT_UInt32:
return numpy.uint32
elif pixelType == gdal.GDT_Int32:
return numpy.int32
elif pixelType == gdal.GDT_Float32:
return numpy.float32
elif pixelType == gdal.GDT_Float64:
return numpy.float64 示例3: _str_of_gdt
# 需要导入模块: from osgeo import gdal [as 别名]
# 或者: from osgeo.gdal import GDT_Int16 [as 别名]
def _str_of_gdt(gdt):
return {
gdal.GDT_Byte: 'GDT_Byte',
gdal.GDT_Int16: 'GDT_Int16',
gdal.GDT_Int32: 'GDT_Int32',
gdal.GDT_UInt16: 'GDT_UInt16',
gdal.GDT_UInt32: 'GDT_UInt32',
gdal.GDT_Float32: 'GDT_Float32',
gdal.GDT_Float64: 'GDT_Float64',
gdal.GDT_CFloat32: 'GDT_CFloat32',
gdal.GDT_CFloat64: 'GDT_CFloat64',
gdal.GDT_CInt16: 'GDT_CInt16',
gdal.GDT_CInt32: 'GDT_CInt32',
}[gdt] 示例4: polygonize
# 需要导入模块: from osgeo import gdal [as 别名]
# 或者: from osgeo.gdal import GDT_Int16 [as 别名]
def polygonize(img,shp_path):
# mapping between gdal type and ogr field type
type_mapping = {gdal.GDT_Byte: ogr.OFTInteger,
gdal.GDT_UInt16: ogr.OFTInteger,
gdal.GDT_Int16: ogr.OFTInteger,
gdal.GDT_UInt32: ogr.OFTInteger,
gdal.GDT_Int32: ogr.OFTInteger,
gdal.GDT_Float32: ogr.OFTReal,
gdal.GDT_Float64: ogr.OFTReal,
gdal.GDT_CInt16: ogr.OFTInteger,
gdal.GDT_CInt32: ogr.OFTInteger,
gdal.GDT_CFloat32: ogr.OFTReal,
gdal.GDT_CFloat64: ogr.OFTReal}
ds = gdal.Open(img)
prj = ds.GetProjection()
srcband = ds.GetRasterBand(1)
dst_layername = "Shape"
drv = ogr.GetDriverByName("ESRI Shapefile")
dst_ds = drv.CreateDataSource(shp_path)
srs = osr.SpatialReference(wkt=prj)
dst_layer = dst_ds.CreateLayer(dst_layername, srs=srs)
raster_field = ogr.FieldDefn('id', type_mapping[srcband.DataType])
dst_layer.CreateField(raster_field)
gdal.Polygonize(srcband, srcband, dst_layer, 0, [], callback=None)
del img, ds, srcband, dst_ds, dst_layer
# convert images in a selected folder to shapefiles 示例5: polygonize
# 需要导入模块: from osgeo import gdal [as 别名]
# 或者: from osgeo.gdal import GDT_Int16 [as 别名]
def polygonize(img,shp_path):
# mapping between gdal type and ogr field type
type_mapping = {gdal.GDT_Byte: ogr.OFTInteger,
gdal.GDT_UInt16: ogr.OFTInteger,
gdal.GDT_Int16: ogr.OFTInteger,
gdal.GDT_UInt32: ogr.OFTInteger,
gdal.GDT_Int32: ogr.OFTInteger,
gdal.GDT_Float32: ogr.OFTReal,
gdal.GDT_Float64: ogr.OFTReal,
gdal.GDT_CInt16: ogr.OFTInteger,
gdal.GDT_CInt32: ogr.OFTInteger,
gdal.GDT_CFloat32: ogr.OFTReal,
gdal.GDT_CFloat64: ogr.OFTReal}
ds = gdal.Open(img)
prj = ds.GetProjection()
srcband = ds.GetRasterBand(1)
dst_layername = "Shape"
drv = ogr.GetDriverByName("ESRI Shapefile")
dst_ds = drv.CreateDataSource(shp_path)
srs = osr.SpatialReference(wkt=prj)
dst_layer = dst_ds.CreateLayer(dst_layername, srs=srs)
# raster_field = ogr.FieldDefn('id', type_mapping[srcband.DataType])
raster_field = ogr.FieldDefn('id', type_mapping[gdal.GDT_Int32])
dst_layer.CreateField(raster_field)
gdal.Polygonize(srcband, srcband, dst_layer, 0, [], callback=None)
del img, ds, srcband, dst_ds, dst_layer
# extract sinks from dem 示例6: gdal_dataset
# 需要导入模块: from osgeo import gdal [as 别名]
# 或者: from osgeo.gdal import GDT_Int16 [as 别名]
def gdal_dataset(out_fname, columns, rows, driver="GTiff", bands=1,
dtype='float32', metadata=None, crs=None,
geotransform=None, creation_opts=None):
"""
Initialises a py-GDAL dataset object for writing image data.
"""
if dtype == 'float32':
gdal_dtype = gdal.GDT_Float32
elif dtype == 'int16':
gdal_dtype = gdal.GDT_Int16
else:
# assume gdal.GDT val is passed to function
gdal_dtype = dtype
# create output dataset
driver = gdal.GetDriverByName(driver)
outds = driver.Create(out_fname, columns, rows, bands, gdal_dtype, options=creation_opts)
# geospatial info
outds.SetGeoTransform(geotransform)
outds.SetProjection(crs)
# add metadata
if metadata is not None:
for k, v in metadata.items():
outds.SetMetadataItem(k, str(v))
return outds