def test_center(self):
gm = GoogleCenterMap(center_ll=(10.762660, 46.794221),
zoom=13,
size_x=500,
size_y=500,
use_cache=False)
gm.set_roi(shape=get_demo_file('Hintereisferner.shp'))
gm.set_subset(toroi=True, margin=10)
img = gm.get_vardata()
img[np.nonzero(gm.roi == 0)] /= 2.
# from scipy.misc import toimage
# toimage(img).save(get_demo_file('hef_google_roi.png'))
ref = mpl.image.imread(get_demo_file('hef_google_roi.png'))
rmsd = np.sqrt(np.mean((ref - img)**2))
self.assertTrue(rmsd < 0.1)
# assert_allclose(ref, img, atol=2e-2)
gm = GoogleCenterMap(center_ll=(10.762660, 46.794221),
zoom=13,
size_x=500,
size_y=500)
gm.set_roi(shape=get_demo_file('Hintereisferner.shp'))
gm.set_subset(toroi=True, margin=10)
img = gm.get_vardata()
img[np.nonzero(gm.roi == 0)] /= 2.
rmsd = np.sqrt(np.mean((ref - img)**2))
self.assertTrue(rmsd < 0.1)
def test_center(self):
import matplotlib as mpl
gm = GoogleCenterMap(center_ll=(10.762660, 46.794221),
zoom=13,
size_x=500,
size_y=500,
use_cache=False)
gm.set_roi(shape=get_demo_file('Hintereisferner.shp'))
gm.set_subset(toroi=True, margin=10)
img = gm.get_vardata()[..., :3]
img[np.nonzero(gm.roi == 0)] /= 2.
# from PIL import Image
# Image.fromarray((img * 255).astype(np.uint8)).save(
# get_demo_file('hef_google_roi.png'))
ref = mpl.image.imread(get_demo_file('hef_google_roi.png'))
rmsd = np.sqrt(np.mean((ref - img)**2))
self.assertTrue(rmsd < 0.2)
# assert_allclose(ref, img, atol=2e-2)
gm = GoogleCenterMap(center_ll=(10.762660, 46.794221),
zoom=13,
size_x=500,
size_y=500)
gm.set_roi(shape=get_demo_file('Hintereisferner.shp'))
gm.set_subset(toroi=True, margin=10)
img = gm.get_vardata()[..., :3]
img[np.nonzero(gm.roi == 0)] /= 2.
rmsd = np.sqrt(np.mean((ref - img)**2))
self.assertTrue(rmsd < 0.2)
gm = GoogleCenterMap(center_ll=(10.762660, 46.794221),
zoom=13,
size_x=500,
size_y=500)
gm2 = GoogleCenterMap(center_ll=(10.762660, 46.794221),
zoom=13,
size_x=500,
size_y=500,
scale=2)
assert (gm.grid.nx * 2) == gm2.grid.nx
assert gm.grid.extent == gm2.grid.extent