本文整理汇总了Python中molusce.algorithms.dataprovider.Raster.get_dtype方法的典型用法代码示例。如果您正苦于以下问题：Python Raster.get_dtype方法的具体用法？Python Raster.get_dtype怎么用？Python Raster.get_dtype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molusce.algorithms.dataprovider.Raster的用法示例。
在下文中一共展示了Raster.get_dtype方法的2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: test_save
# 需要导入模块: from molusce.algorithms.dataprovider import Raster [as 别名]
# 或者: from molusce.algorithms.dataprovider.Raster import get_dtype [as 别名]
def test_save(self):
try:
filename = 'temp.tiff'
self.r1.save(filename)
r2 = Raster(filename)
self.assertEqual(r2.get_dtype(), self.r1.get_dtype())
self.assertEqual(r2.getBandsCount(), self.r1.getBandsCount())
for i in range(r2.getBandsCount()):
assert_array_equal(r2.getBand(i+1), self.r1.getBand(i+1))
finally:
os.remove(filename)示例2: TestRaster
# 需要导入模块: from molusce.algorithms.dataprovider import Raster [as 别名]
# 或者: from molusce.algorithms.dataprovider.Raster import get_dtype [as 别名]
#.........这里部分代码省略.........
data2 = np.array(
[
[1,2,1],
[1,2,1],
[0,1,2]
])
mask = [
[False, False, False],
[False, False, False],
[False, False, False]
]
self.data1 = ma.array(data=data1, mask=mask)
self.data2 = ma.array(data=data2, mask=mask)
def test_RasterInit(self):
self.assertEqual(self.r1.getBandsCount(), 1)
band = self.r1.getBand(1)
shape = band.shape
x = self.r1.getXSize()
y = self.r1.getYSize()
self.assertEqual(shape, (x,y))
self.assertEqual(self.r2.getBandsCount(), 1)
band = self.r2.getBand(1)
assert_array_equal(band, self.data2)
self.assertTrue(self.r1.geoDataMatch(self.r2))
self.assertTrue(self.r1.isMetricProj())
def test_getBandStat(self):
stat = self.r1.getBandStat(1)
self.assertAlmostEqual(stat['mean'], 15.0/9)
self.assertAlmostEqual(stat['std'], np.sqrt(10.0/9))
def test_normalize(self):
multifact = [
[1,1,3],
[3,2,1],
[0,3,1],
]
# Normalize using std and mean
r1 = Raster('examples/multifact.tif')
r1.normalize()
r1.denormalize()
assert_array_equal(r1.getBand(1), multifact)
# Normalize using min and max
r1 = Raster('examples/multifact.tif')
r1.normalize(mode='maxmin')
r1.denormalize()
assert_array_equal(r1.getBand(1), multifact)
# Two normalization procedures
r1 = Raster('examples/multifact.tif')
r1.normalize()
r1.normalize(mode='maxmin')
r1.denormalize()
assert_array_equal(r1.getBand(1), multifact)
r1 = Raster('examples/multifact.tif')
r1.normalize(mode='maxmin')
r1.normalize()
r1.denormalize()
assert_array_equal(r1.getBand(1), multifact)
def test_getNeighbours(self):
neighbours = self.r2.getNeighbours(row=1,col=0, size=0)
self.assertEqual(neighbours, [[1]])
neighbours = self.r2.getNeighbours(row=1,col=1, size=1)
assert_array_equal(neighbours, [self.data2])
neighbours = self.r3.getNeighbours(row=1,col=1, size=1)
assert_array_equal(neighbours, [self.data2, self.data1])
# Check pixel on the raster bound and nonzero neighbour size
self.assertRaises(ProviderError, self.r2.getNeighbours, col=1, row=0, size=1)
self.assertRaises(ProviderError, self.r2.getNeighbours, col=1, row=1, size=2)
def test_geodata(self):
geodata = self.r1.getGeodata()
self.r1.setGeoData(geodata)
geodata['xSize'] = geodata['xSize'] + 10
self.assertRaises(ProviderError, self.r1.setGeoData, geodata=geodata)
def test_save(self):
try:
filename = 'temp.tiff'
self.r1.save(filename)
r2 = Raster(filename)
self.assertEqual(r2.get_dtype(), self.r1.get_dtype())
self.assertEqual(r2.getBandsCount(), self.r1.getBandsCount())
for i in range(r2.getBandsCount()):
assert_array_equal(r2.getBand(i+1), self.r1.getBand(i+1))
finally:
os.remove(filename)