bounds = [-10000, 10000, -10000, 10000, 0, 5000]
area = bounds[:4]
axis = mpl.figure().gca()
mpl.axis('scaled')
model = [
mesher.PolygonalPrism(mpl.draw_polygon(area, axis, xy2ne=True), 0, 1000,
{'density': 500})
]
# Calculate the effect
shape = (100, 100)
xp, yp, zp = gridder.regular(area, shape, z=-500)
data = [
polyprism.gxx(xp, yp, zp, model),
polyprism.gxy(xp, yp, zp, model),
polyprism.gxz(xp, yp, zp, model),
polyprism.gyy(xp, yp, zp, model),
polyprism.gyz(xp, yp, zp, model),
polyprism.gzz(xp, yp, zp, model)
]
# and plot it
titles = ['gxx', 'gxy', 'gxz', 'gyy', 'gyz', 'gzz']
mpl.figure()
mpl.axis('scaled')
mpl.suptitle("Gravity tensor produced by prism model (Eotvos)")
for i in xrange(len(data)):
mpl.subplot(3, 2, i + 1)
mpl.title(titles[i])
mpl.contourf(yp, xp, data[i], shape, 20)
mpl.colorbar()
for p in model:
mpl.polygon(p, '.-k', xy2ne=True)
mpl.square(dataarea)
for p in model:
mpl.polygon(p, '.-k', xy2ne=True)
mpl.set_area(area)
model.append(
mesher.PolygonalPrism(
mpl.draw_polygon(area, fig.gca(), xy2ne=True),
0, depth, {'density':500}))
# Calculate the effect
shape = (100, 100)
xp, yp, zp = gridder.regular(dataarea, shape, z=-500)
data = [
polyprism.gxx(xp, yp, zp, model),
polyprism.gxy(xp, yp, zp, model),
polyprism.gxz(xp, yp, zp, model),
polyprism.gyy(xp, yp, zp, model),
polyprism.gyz(xp, yp, zp, model),
polyprism.gzz(xp, yp, zp, model)]
# Calculate the 3 invariants
invariants = tensor.invariants(data)
data = data + invariants
# and plot it
mpl.figure()
mpl.axis('scaled')
mpl.suptitle("Tensor and invariants produced by prism model (Eotvos)")
titles = ['gxx', 'gxy', 'gxz', 'gyy', 'gyz', 'gzz', 'I1', 'I2', 'I']
for i in xrange(len(data)):
mpl.subplot(3, 3, i + 1)
mpl.title(titles[i])
levels = 20
if i == 8:
def test_gyy():
"polyprism.gyy against prism"
resprism = prism.gyy(xp, yp, zp, prismmodel)
respoly = polyprism.gyy(xp, yp, zp, model)
diff = np.abs(resprism - respoly)
assert np.all(diff <= precision), 'max diff: %g' % (max(diff))
def test_gyy_numpy():
"polyprism.gyy cython vs numpy implementation"
cy = polyprism.gyy(xp, yp, zp, model)
py = _polyprism_numpy.gyy(xp, yp, zp, model)
diff = np.abs(py - cy)
assert np.all(diff <= precision), 'max diff: %g' % (max(diff))
def test_gyy():
"polyprism.gyy against prism"
resprism = prism.gyy(xp, yp, zp, prismmodel)
respoly = polyprism.gyy(xp, yp, zp, model)
diff = np.abs(resprism - respoly)
assert np.all(diff <= precision), 'max diff: %g' % (max(diff))
def test_gyy_numpy():
"polyprism.gyy cython vs numpy implementation"
cy = polyprism.gyy(xp, yp, zp, model)
py = _polyprism_numpy.gyy(xp, yp, zp, model)
diff = np.abs(py - cy)
assert np.all(diff <= precision), 'max diff: %g' % (max(diff))
