def transform(self, trans):
"""
Compute a transformation in place using a 4x4 transform.
Parameters
----------
trans : vtk.vtkMatrix4x4, vtk.vtkTransform, or np.ndarray
Accepts a vtk transformation object or a 4x4 transformation matrix.
"""
if isinstance(trans, vtk.vtkMatrix4x4):
t = pyvista.trans_from_matrix(trans)
elif isinstance(trans, vtk.vtkTransform):
t = pyvista.trans_from_matrix(trans.GetMatrix())
elif isinstance(trans, np.ndarray):
if trans.shape[0] != 4 or trans.shape[1] != 4:
raise Exception('Transformation array must be 4x4')
t = trans
else:
raise TypeError('Input transform must be either:\n' +
'\tvtk.vtkMatrix4x4\n' + '\tvtk.vtkTransform\n' +
'\t4x4 np.ndarray\n')
x = (self.points * t[0, :3]).sum(1) + t[0, -1]
y = (self.points * t[1, :3]).sum(1) + t[1, -1]
z = (self.points * t[2, :3]).sum(1) + t[2, -1]
# overwrite points
self.points[:, 0] = x
self.points[:, 1] = y
self.points[:, 2] = z
def __init__(self, cam_id, camera_pos):
self.cam_id = cam_id
p = pv.Plotter()
p.add_mesh(pv.Sphere())
p.camera_position = camera_pos
# Now grab the matrix
vmtx = p.camera.GetModelViewTransformMatrix()
mtx = pv.trans_from_matrix(vmtx)
self.camera_matrix = mtx[:-1, :-1]
def mvp(self):
"""
https://github.com/pyvista/pyvista-support/issues/85
TODO: try to project a 3D position onto the 2D screen plane
so can place text using the 2d only add_text
"""
vmtx = self.pl.camera.GetModelViewTransformMatrix()
mtx = pv.trans_from_matrix(mtx)
return mtx
def cs_4x4(self, cs_cord, as_vtk_matrix=False):
""" return a 4x4 transformation array for a given coordinate system """
# assemble 4 x 4 matrix
csys = self.geometry['coord systems'][cs_cord]
trans = np.hstack(
(csys['transformation matrix'], csys['origin'].reshape(-1, 1)))
matrix = trans_to_matrix(trans)
if as_vtk_matrix:
return matrix
else:
return pv.trans_from_matrix(matrix)
def test_tensor_rotation_z():
transform = vtk.vtkTransform()
transform.RotateZ(20)
transform.Update()
rot_matrix = transform.GetMatrix()
# rot_matrix.Invert() # <-- this should not be necessary
trans = pv.trans_from_matrix(rot_matrix)
s_test = stress.copy().reshape(1, -1)
_binary_reader.tensor_arbitrary(s_test, trans)
assert np.allclose(s_test, stress_rot_z)
def transform(self, trans):
"""Compute a transformation in place using a 4x4 transform.
Parameters
----------
trans : vtk.vtkMatrix4x4, vtk.vtkTransform, or np.ndarray
Accepts a vtk transformation object or a 4x4 transformation matrix.
"""
if isinstance(trans, vtk.vtkMatrix4x4):
t = pyvista.trans_from_matrix(trans)
elif isinstance(trans, vtk.vtkTransform):
t = pyvista.trans_from_matrix(trans.GetMatrix())
elif isinstance(trans, np.ndarray):
if trans.ndim != 2:
raise ValueError('Transformation array must be 4x4')
elif trans.shape[0] != 4 or trans.shape[1] != 4:
raise ValueError('Transformation array must be 4x4')
t = trans
else:
raise TypeError('Input transform must be either:\n'
'\tvtk.vtkMatrix4x4\n'
'\tvtk.vtkTransform\n'
'\t4x4 np.ndarray\n')
if t[3, 3] == 0:
raise ValueError(
"Transform element (3,3), the inverse scale term, is zero")
# Normalize the transformation to account for the scale
t /= t[3, 3]
x = (self.points * t[0, :3]).sum(1) + t[0, -1]
y = (self.points * t[1, :3]).sum(1) + t[1, -1]
z = (self.points * t[2, :3]).sum(1) + t[2, -1]
# overwrite points
self.points[:, 0] = x
self.points[:, 1] = y
self.points[:, 2] = z
def test_translate_should_match_vtk_transformation(rotate_amounts, translate_amounts, grid):
trans = vtk.vtkTransform()
trans.RotateWXYZ(0, *rotate_amounts)
trans.Translate(translate_amounts)
trans.Update()
grid_a = grid.copy()
grid_b = grid.copy()
grid_c = grid.copy()
grid_a.transform(trans)
grid_b.transform(trans.GetMatrix())
grid_c.transform(pyvista.trans_from_matrix(trans.GetMatrix()))
assert np.allclose(grid_a.points, grid_b.points, equal_nan=True)
assert np.allclose(grid_a.points, grid_c.points, equal_nan=True)
def test_transform():
trans = vtk.vtkTransform()
trans.RotateX(30)
trans.RotateY(30)
trans.RotateZ(30)
trans.Translate(1, 1, 2)
trans.Update()
grid_a = grid.copy()
grid_b = grid.copy()
grid_c = grid.copy()
grid_a.transform(trans)
grid_b.transform(trans.GetMatrix())
grid_c.transform(pyvista.trans_from_matrix(trans.GetMatrix()))
assert np.allclose(grid_a.points, grid_b.points)
assert np.allclose(grid_a.points, grid_c.points)
def expand_cyclic_static(self, result, tensor=False):
""" expands cyclic static results """
cs_cord = self.resultheader['csCord']
if cs_cord > 1:
matrix = self.cs_4x4(cs_cord, as_vtk_matrix=True)
i_matrix = self.cs_4x4(cs_cord, as_vtk_matrix=True)
i_matrix.Invert()
else:
matrix = vtk.vtkMatrix4x4()
i_matrix = vtk.vtkMatrix4x4()
shp = (self.n_sector, result.shape[0], result.shape[1])
full_result = np.empty(shp)
full_result[:] = result
rang = 360.0 / self.n_sector
for i in range(self.n_sector):
# transform to standard position, rotate about Z axis,
# transform back
transform = vtk.vtkTransform()
transform.RotateZ(rang * i)
transform.Update()
rot_matrix = transform.GetMatrix()
if cs_cord > 1:
temp_matrix = vtk.vtkMatrix4x4()
rot_matrix.Multiply4x4(i_matrix, rot_matrix, temp_matrix)
rot_matrix.Multiply4x4(temp_matrix, matrix, rot_matrix)
trans = pv.trans_from_matrix(rot_matrix)
if tensor:
_binary_reader.tensor_arbitrary(full_result[i], trans)
else:
_binary_reader.affline_transform_double(full_result[i], trans)
return full_result
def expand_cyclic_modal_stress(self,
result,
result_r,
hindex,
phase,
as_complex,
full_rotor,
scale=True):
""" Combines repeated results from ANSYS """
if as_complex or full_rotor:
result_combined = result + result_r * 1j
if phase:
result_combined *= 1 * np.cos(phase) - 1j * np.sin(phase)
else: # convert to real
result_combined = result * np.cos(phase) - result_r * np.sin(phase)
# just return single sector
if not full_rotor:
return result_combined
# Generate full rotor solution
result_expanded = np.empty(
(self.n_sector, result.shape[0], result.shape[1]), np.complex128)
result_expanded[:] = result_combined
# scale
# if scale:
# if hindex == 0 or hindex == self.n_sector/2:
# result_expanded /= self.n_sector**0.5
# else:
# result_expanded /= (self.n_sector/2)**0.5
f_arr = np.zeros(self.n_sector)
f_arr[hindex] = 1
jang = np.fft.ifft(f_arr)[:self.n_sector] * self.n_sector
cjang = jang * (np.cos(phase) - np.sin(phase) * 1j)
full_result = np.real(result_expanded * cjang.reshape(-1, 1, 1))
# # rotate cyclic result inplace
# angles = np.linspace(0, 2*np.pi, self.n_sector + 1)[:-1] + phase
# for i, angle in enumerate(angles):
# isnan = _binary_reader.tensor_rotate_z(result_expanded[i], angle)
# result_expanded[i, isnan] = np.nan
cs_cord = self.resultheader['csCord']
if cs_cord > 1:
matrix = self.cs_4x4(cs_cord, as_vtk_matrix=True)
i_matrix = self.cs_4x4(cs_cord, as_vtk_matrix=True)
i_matrix.Invert()
else:
matrix = vtk.vtkMatrix4x4()
i_matrix = vtk.vtkMatrix4x4()
shp = (self.n_sector, result.shape[0], result.shape[1])
full_result = np.empty(shp)
full_result[:] = result
rang = 360.0 / self.n_sector
for i in range(self.n_sector):
# transform to standard position, rotate about Z axis,
# transform back
transform = vtk.vtkTransform()
transform.RotateZ(rang * i)
transform.Update()
rot_matrix = transform.GetMatrix()
if cs_cord > 1:
temp_matrix = vtk.vtkMatrix4x4()
rot_matrix.Multiply4x4(i_matrix, rot_matrix, temp_matrix)
rot_matrix.Multiply4x4(temp_matrix, matrix, rot_matrix)
trans = pv.trans_from_matrix(rot_matrix)
_binary_reader.tensor_arbitrary(full_result[i], trans)
return full_result