def grid(self):
""" Returns a vtkInterface unstructured grid """
if 'vtkInterface' not in sys.modules:
raise Exception('Cannot create grid without vtkInterface.\n' +
'Please run:\npip install vtkInterface')
elif not hasattr(self, 'node'):
raise Exception('Run Tetrahedralize first')
if hasattr(self, '_grid') and not self._updated:
return self._grid
buf = np.empty((self.elem.shape[0], 1), np.int64)
cell_type = np.empty(self.elem.shape[0], dtype='uint8')
if self.elem.shape[1] == 4: # linear
buf[:] = 4
cell_type[:] = 10
elif self.elem.shape[1] == 10: # quadradic
buf[:] = 10
cell_type[:] = 24
else:
raise Exception('Invalid element array shape %s' %
str(self.elem.shape))
offset = np.cumsum(buf + 1) - (buf[0] + 1)
cells = np.hstack((buf, self.elem))
self._grid = vtki.UnstructuredGrid(offset, cells, cell_type, self.node)
self._updated = False
return self._grid
def AddCyclicProperties(self):
""" Adds cyclic properties to result object """
# ansys's duplicate sector contains nodes from the second half of the node
# numbering
#
# ansys node numbering for the duplicate sector is
# nnum.min() + nnum.max()
# where nnum is the node numbering for the master sector
# if not vtkloaded:
# raise Exception('Unable to add ')
# master sector max node number
num_master_max = self.nnum[int(self.nnum.size / 2) - 1]
# identify master and duplicate cyclic sectors
cells = np.arange(self.enum.size)
dup_cells = np.where(
np.any(
self.geometry['elem'] > num_master_max,
1))[0]
mas_cells = np.setdiff1d(cells, dup_cells)
self.sector = self.grid.ExtractSelectionCells(mas_cells)
dup_sector = self.grid.ExtractSelectionCells(dup_cells)
# Store the indices of the master and duplicate nodes
self.mas_ind = self.sector.GetPointScalars('vtkOriginalPointIds')
self.dup_ind = dup_sector.GetPointScalars('vtkOriginalPointIds')
# store cyclic node numbers
self.cyc_nnum = self.nnum[self.mas_ind]
# create full rotor
nSector = self.resultheader['nSector']
# Copy and translate mesh
vtkappend = vtk.vtkAppendFilter()
rang = 360.0 / nSector
for i in range(nSector):
# Transform mesh
sector = self.sector.Copy()
sector.RotateZ(rang * i)
vtkappend.AddInputData(sector)
# Combine meshes and add VTK_Utilities functions
# vtkappend.MergePointsOn()
vtkappend.Update()
self.rotor = vtkInterface.UnstructuredGrid(vtkappend.GetOutput())
def read_cell_data(self, fn_start):
"""Read cell data from ``vtk``
Args:
fn_start (:obj:`int`): the index of starting letter in
``ls -lrth`` corresponding to vtk filename
"""
# We list all the files in ``vtk_folder``, then we extract the
# vtk filename without the affix and append with list.
# Then we sort it from small to large, since we need the vtk data
# to be sequential in time. Finally we put the vectorized data as
# `UV_concate_cell_array`.
vtk_file_list = []
file_list = os.listdir(self.vtk_folder)
for names in file_list:
if names.endswith(".vtk"):
vtk_file_list.append(names[fn_start:-4])
vtk_file_array = np.array(vtk_file_list, dtype=int)
vtk_file_array.sort()
uv_concate_cell_list = []
for vtk_file in vtk_file_array:
print 'current working on ', vtk_file
# Note: grid is the central object in VTK where every field is added on to grid
grid = vtki.UnstructuredGrid(self.vtk_folder + self.case_name + '_' + str(vtk_file) + \
'.vtk')
vel_cell = grid.cell_arrays['U'] # get the vector velocity
u_cell = vel_cell[:, 0] # get Ux
v_cell = vel_cell[:, 1] # get Uy
uv_concate_cell = np.hstack(
(u_cell, v_cell)) # concate U,V together
uv_concate_cell_list.append(
uv_concate_cell) # we append the snapshots of stacked state
# vector
self.UV_concate_cell_array = np.array(
uv_concate_cell_list) # we transform it into
def StoreGeometry(self):
""" Stores the geometry from the result file """
# read in the geometry from the result file
with open(self.filename, 'rb') as f:
f.seek((self.resultheader['ptrGEO'] + 2) * 4)
geotable = np.fromfile(f, self.resultheader['endian'] + 'i', 80)
geotable.tolist()
ptrLOC = geotable[26]
# Node information
nnod = self.resultheader['nnod']
nnum = np.empty(nnod, np.int32)
nloc = np.empty((nnod, 6), np.float)
_rstHelper.LoadNodes(self.filename, ptrLOC, nnod, nloc, nnum)
# Element Information
nelm = geotable[4]
ptrEID = geotable[28]
maxety = geotable[1]
# pointer to the element type index table
ptrETYP = geotable[20]
f.seek((ptrETYP + 2) * 4)
e_type_table = np.fromfile(
f, self.resultheader['endian'] + 'i', maxety)
# store information for each element type
# make these arrays large so you can reference a value via element
# type numbering
# number of nodes for this element type
nodelm = np.empty(10000, np.int32)
# number of nodes per element having nodal forces
nodfor = np.empty(10000, np.int32)
# number of nodes per element having nodal stresses
nodstr = np.empty(10000, np.int32)
etype_ID = np.empty(maxety, np.int32)
ekey = []
for i in range(maxety):
f.seek((ptrETYP + e_type_table[i] + 2) * 4)
einfo = np.fromfile(f, self.resultheader['endian'] + 'i', 2)
etype_ref = einfo[0]
etype_ID[i] = einfo[1]
ekey.append(einfo)
f.seek((ptrETYP + e_type_table[i] + 2 + 60) * 4)
nodelm[etype_ref] = np.fromfile(
f, self.resultheader['endian'] + 'i', 1)
f.seek((ptrETYP + e_type_table[i] + 2 + 62) * 4)
nodfor[etype_ref] = np.fromfile(
f, self.resultheader['endian'] + 'i', 1)
f.seek((ptrETYP + e_type_table[i] + 2 + 93) * 4)
nodstr[etype_ref] = np.fromfile(
f, self.resultheader['endian'] + 'i', 1)
# store element table data
self.element_table = {'nodelm': nodelm,
'nodfor': nodfor,
'nodstr': nodstr}
# get the element description table
f.seek((ptrEID + 2) * 4)
e_disp_table = np.empty(nelm, np.int32)
e_disp_table[:] = np.fromfile(
f, self.resultheader['endian'] + 'i8', nelm)
# get pointer to start of element table and adjust element pointers
ptr = ptrEID + e_disp_table[0]
e_disp_table -= e_disp_table[0]
# The following is stored for each element
# mat - material reference number
# type - element type number
# real - real constant reference number
# secnum - section number
# esys - element coordinate system
# death - death flat (1 live, 0 dead)
# solidm - solid model reference
# shape - coded shape key
# elnum - element number
# baseeid - base element number
# NODES - node numbers defining the element
# allocate memory for this (a maximum of 21 points per element)
etype = np.empty(nelm, np.int32)
elem = np.empty((nelm, 20), np.int32)
elem[:] = -1
# load elements
_rstHelper.LoadElements(self.filename, ptr, nelm, e_disp_table, elem,
etype)
enum = self.resultheader['eeqv']
# store geometry dictionary
self.geometry = {'nnum': nnum,
'nodes': nloc,
'etype': etype,
'elem': elem,
'enum': enum,
'ekey': np.asarray(ekey, ctypes.c_long),
'e_rcon': np.ones_like(enum)}
# store the reference array
cell_type = ['45', '95', '185', '186', '92', '187', '154']
result = _parser.Parse(self.geometry, True, cell_type) # force_linear
cells, offset, cell_type, self.numref, _, _, _ = result
# Create vtk object if vtk installed
if vtkloaded:
nodes = nloc[:, :3]
self.grid = vtkInterface.UnstructuredGrid(offset, cells,
cell_type, nodes)
# get edge nodes
nedge = nodstr[etype].sum()
self.edge_idx = np.empty(nedge, np.int32)
_rstHelper.AssembleEdges(
nelm, etype, elem, self.numref.astype(
np.int32), self.edge_idx, nodstr)
# store edge node numbers and indices to the node array
self.edge_node_num_idx = np.unique(self.edge_idx)
def test_merge():
from vtkInterface import examples
beamA = vtki.UnstructuredGrid(examples.hexbeamfile)
beamB = beamA.Copy()
beamB.points[:, 1] += 1
beamA.Merge(beamB)
def BeamExample():
# Load module and example file
hexfile = hexbeamfile
# Load Grid
grid = vtkInterface.UnstructuredGrid(hexfile)
# Create fiticious displacements as a function of Z location
pts = grid.GetNumpyPoints(deep=True)
d = np.zeros_like(pts)
d[:, 1] = pts[:, 2]**3/250
# Displace original grid
grid.SetNumpyPoints(pts + d)
# Camera position
cpos = [(11.915126303095157, 6.11392754955802, 3.6124956735471914),
(0.0, 0.375, 2.0),
(-0.42546442225230097, 0.9024244135964158, -0.06789847673314177)]
try:
import matplotlib
colormap = 'bwr'
except ImportError:
colormap = None
# plot this displaced beam
plobj = vtkInterface.PlotClass()
plobj.AddMesh(grid, scalars=d[:, 1], stitle='Y Displacement',
rng=[-d.max(), d.max()], colormap=colormap)
plobj.SetCameraPosition(cpos)
plobj.AddText('Static Beam Example')
cpos = plobj.Plot(autoclose=False) # store camera position
# plobj.TakeScreenShot('beam.png')
plobj.Close()
# Animate plot
plobj = vtkInterface.PlotClass()
plobj.AddMesh(grid, scalars=d[:, 1], stitle='Y Displacement', showedges=True,
rng=[-d.max(), d.max()], interpolatebeforemap=True,
colormap=colormap)
plobj.SetCameraPosition(cpos)
plobj.AddText('Beam Animation Example')
plobj.Plot(interactive=False, autoclose=False, window_size=[800, 600])
#plobj.OpenMovie('beam.mp4')
# plobj.OpenGif('beam.gif')
for phase in np.linspace(0, 4*np.pi, 100):
plobj.UpdateCoordinates(pts + d*np.cos(phase), render=False)
plobj.UpdateScalars(d[:, 1]*np.cos(phase), render=False)
plobj.Render()
# plobj.WriteFrame()
time.sleep(0.01)
plobj.Close()
# Animate plot as a wireframe
plobj = vtkInterface.PlotClass()
plobj.AddMesh(grid, scalars=d[:, 1], stitle='Y Displacement',
showedges=True, rng=[-d.max(), d.max()], colormap=colormap,
interpolatebeforemap=True, style='wireframe')
plobj.SetCameraPosition(cpos)
plobj.AddText('Beam Animation Example 2')
plobj.Plot(interactive=False, autoclose=False, window_size=[800, 600])
# plobj.OpenMovie('beam.mp4')
# plobj.OpenGif('beam_wireframe.gif')
for phase in np.linspace(0, 4*np.pi, 100):
plobj.UpdateCoordinates(pts + d*np.cos(phase), render=False)
plobj.UpdateScalars(d[:, 1]*np.cos(phase), render=False)
plobj.Render()
# plobj.WriteFrame()
time.sleep(0.01)
plobj.Close()
def ParseVTK(self, force_linear=False, allowable_types=None,
null_unallowed=False):
"""
Parses raw data from cdb file to VTK format.
Parameters
----------
force_linear : bool, optional
This parser creates quadradic elements if available. Set this to
True to always create linear elements. Defaults to False.
allowable_types : list, optional
Allowable element types. Defaults to:
['45', '95', '185', '186', '92', '187']
See help(pyansys.elements) for available element types.
null_unallowed : bool, optional
Elements types not matching element types will be stored as empty
(null) elements. Useful for debug or tracking element numbers.
Default False.
Returns
-------
uGrid : vtk.vtkUnstructuredGrid
VTK unstructured grid from archive file.
"""
if not vtk_loaded:
raise Exception(
'Unable to load VTK module. Cannot parse raw cdb data')
if self.CheckRaw():
raise Exception(
'Missing key data. Cannot parse into unstructured grid')
# Convert to vtk style arrays
if allowable_types is None:
allowable_types = ['45', '95', '185', '186', '92', '187']
else:
assert isinstance(allowable_types, list), \
'allowable_types must be a list'
for eletype in allowable_types:
if eletype not in valid_types:
raise Exception('Element type "%s" ' % eletype +
'cannot be parsed in pyansys')
result = _parser.Parse(self.raw, force_linear, allowable_types,
null_unallowed)
cells, offset, cell_type, numref, enum, etype, rcon = result
# catch bug
cells[cells > numref.max()] = -1
# Check for missing midside nodes
if force_linear or np.all(cells != -1):
nodes = self.raw['nodes'][:, :3].copy()
nnum = self.raw['nnum']
else:
mask = cells == -1
nextra = mask.sum()
maxnum = numref.max() + 1
cells[mask] = np.arange(maxnum, maxnum + nextra)
nnodes = self.raw['nodes'].shape[0]
nodes = np.zeros((nnodes + nextra, 3))
nodes[:nnodes] = self.raw['nodes'][:, :3]
# Set new midside nodes directly between their edge nodes
temp_nodes = nodes.copy()
_relaxmidside.ResetMidside(cells, temp_nodes)
nodes[nnodes:] = temp_nodes[nnodes:]
# merge nodes
new_nodes = temp_nodes[nnodes:]
unique_nodes, idxA, idxB = UniqueRows(new_nodes,
return_index=True,
return_inverse=True)
# rewrite node numbers
cells[mask] = idxB + maxnum
nextra = idxA.shape[0]
nodes = np.zeros((nnodes + nextra, 3))
nodes[:nnodes] = self.raw['nodes'][:, :3]
nodes[nnodes:] = unique_nodes
# Add extra node numbers
nnum = np.hstack((self.raw['nnum'],
np.ones(nextra, np.int32) * -1))
# Create unstructured grid
grid = vtkInterface.UnstructuredGrid(offset, cells, cell_type, nodes)
# Store original ANSYS numbering
grid.AddPointScalars(nnum, 'ANSYSnodenum')
grid.AddCellScalars(enum, 'ANSYS_elem_num')
grid.AddCellScalars(etype, 'ANSYS_elem_typenum')
grid.AddCellScalars(rcon, 'ANSYS_real_constant')
# Add element components to unstructured grid
# ibool = np.empty(grid.GetNumberOfCells(), dtype=np.int8)
for comp in self.raw['elem_comps']:
mask = np.in1d(enum, self.raw['elem_comps'][comp], assume_unique=True)
grid.AddCellScalars(mask, comp.strip())
# Add node components to unstructured grid
ibool = np.empty(grid.GetNumberOfPoints(), dtype=np.int8)
for comp in self.raw['node_comps']:
ibool[:] = 0 # reset component array
# Convert to new node numbering
nodenum = numref[self.raw['node_comps'][comp]]
ibool[nodenum] = 1
grid.AddPointScalars(ibool, comp.strip())
grid.AddPointScalars(np.arange(grid.points.shape[0]), 'origid')
# Add tracker for original node numbering
npoints = grid.GetNumberOfPoints()
grid.AddPointScalars(np.arange(npoints), 'VTKorigID')
self.vtkuGrid = grid
return grid
def pps_paraview_cylinder(
self,
cylinder_folder="./50d_cylinder_flow_pod_case",
pod_path="/media/shaowu/shaowu_main_hard/shaowu/OpenFOAM/shaowu-6/run/vortex_shedding/c6_re100_whole_POD.npz"
):
"""postprocessing for cylinder case with paraview.
This is a very problem specific method. It will use the POD weights and it will use eval trajectory
to get the full field projected and saved into vtk files. It is a good example for extending to other cases.
Args:
cylinder_folder (:obj:`str`): path to the full POD data.
"""
# 1. read POD data from POD path
pod_data = np.load(pod_path)
vh = pod_data['vh']
# s = pod_data['s']
# u = pod_data['u']
# 2. read eval file
eval_file_name = 'save_trj_comparison_whole.npz'
eval_file_data = np.load(self.eval_dir + '/' +
self.params['model_name'] + '/' +
eval_file_name)
true_trajectory = eval_file_data['ttrj']
pred_trajectory = eval_file_data['ptrj']
# compute the mean and std
print('')
print('pred trajectory shape = ')
print(pred_trajectory.shape)
print('')
pred_trajectory_mean = np.mean(pred_trajectory, axis=0)
pred_trajectory_std = np.std(pred_trajectory, axis=0)
print('pred_trajectory_std shape = ', pred_trajectory_std.shape)
# 3. generate VTK files
self.vtk_folder = self.pps_dir + '/VTK'
# make directory for vtk
mkdir(self.vtk_folder)
# 3.1 generate true flowfield VTK
true_data_UV_array = np.matmul(true_trajectory,
vh[:true_trajectory.shape[1], :])
true_data_U = true_data_UV_array[:, :int(true_data_UV_array.shape[1] /
2)]
true_data_V = true_data_UV_array[:,
int(true_data_UV_array.shape[1] / 2):]
true_data_W = np.zeros(true_data_U.shape)
# get 3d true velo
true_data_vel = np.stack((true_data_U, true_data_V, true_data_W),
axis=2)
# 3.2 generate pred flowfield VTK -- mean
pred_data_UV_array = np.matmul(pred_trajectory_mean,
vh[:pred_trajectory_mean.shape[1], :])
pred_data_U = pred_data_UV_array[:, :int(pred_data_UV_array.shape[1] /
2)]
pred_data_V = pred_data_UV_array[:,
int(pred_data_UV_array.shape[1] / 2):]
pred_data_W = np.zeros(pred_data_U.shape)
# get 3d pred velo
pred_data_vel_mean = np.stack((pred_data_U, pred_data_V, pred_data_W),
axis=2)
# 3.2 -- std
pred_data_UV_array_std = np.matmul(
pred_trajectory_std, vh[:pred_trajectory_std.shape[1], :])
pred_data_U_std = pred_data_UV_array_std[:, :int(pred_data_UV_array_std
.shape[1] / 2)]
pred_data_V_std = pred_data_UV_array_std[:,
int(pred_data_UV_array_std.
shape[1] / 2):]
pred_data_W_std = np.zeros(pred_data_U_std.shape)
# get 3d pred velo -- std
pred_data_vel_std = np.stack(
(pred_data_U_std, pred_data_V_std, pred_data_W_std), axis=2)
# 3.5 read blank VTK files for cylinder to write new things on: loop over time
for time_step in range(true_data_U.shape[0]):
true_data = vtki.UnstructuredGrid(cylinder_folder + '/base.vtk')
pred_data = vtki.UnstructuredGrid(cylinder_folder + '/base.vtk')
# 3.2 add fields in
true_data.AddCellScalars(true_data_vel[time_step, :, :], 'U')
pred_data.AddCellScalars(pred_data_vel_mean[time_step, :, :],
'U_mean')
pred_data.AddCellScalars(pred_data_vel_std[time_step, :, :],
'U_std')
# save
true_data.Write(self.vtk_folder + '/true_flowfield_' +
str(time_step) + '.vtk')
pred_data.Write(self.vtk_folder + '/pred_flowfield_' +
str(time_step) + '.vtk')
del (true_data)
del (pred_data)
def ParseVTK(self, force_linear=False, allowable_types=None):
"""
Parses raw data from cdb file to VTK format.
Parameters
----------
force_linear : bool, optional
This parser creates quadradic elements if available. Set this to
True to always create linear elements. Defaults to False.
allowable_types : list, optional
Allowable element types. Defaults to:
['45', '95', '185', '186', '92', '187']
Can include:
['45', '95', '185', '186', '92', '187', '154']
Returns
-------
uGrid : vtk.vtkUnstructuredGrid
VTK unstructured grid from archive file.
"""
if not vtk_loaded:
raise Exception(
'Unable to load VTK module. Cannot parse raw cdb data')
if self.CheckRaw():
raise Exception(
'Missing key data. Cannot parse into unstructured grid')
# Convert to vtk style arrays
if allowable_types is None:
allowable_types = ['45', '95', '185', '186', '92', '187']
else:
assert isinstance(allowable_types, list), \
'allowable_types must be a list'
result = _parser.Parse(self.raw, force_linear, allowable_types)
cells, offset, cell_type, numref, enum, etype, rcon = result
# catch bug
cells[cells > numref.max()] = -1
# Check for missing midside nodes
possible_merged = False
if force_linear or np.all(cells != -1):
nodes = self.raw['nodes'][:, :3].copy()
nnum = self.raw['nnum']
else:
mask = cells == -1
nextra = mask.sum()
maxnum = numref.max() + 1
cells[mask] = np.arange(maxnum, maxnum + nextra)
nnodes = self.raw['nodes'].shape[0]
nodes = np.zeros((nnodes + nextra, 3))
nodes[:nnodes] = self.raw['nodes'][:, :3]
# Add extra node numbers
nnum = np.hstack((self.raw['nnum'],
np.ones(nextra, np.int32) * -1))
# Set new midside nodes directly between their edge nodes
temp_nodes = nodes.copy()
_relaxmidside.ResetMidside(cells, temp_nodes)
nodes[nnodes:] = temp_nodes[nnodes:]
possible_merged = True
# Create unstructured grid
grid = vtkInterface.UnstructuredGrid(offset, cells, cell_type, nodes)
# Store original ANSYS numbering
grid.AddPointScalars(nnum, 'ANSYSnodenum')
grid.AddCellScalars(enum, 'ANSYS_elem_num')
grid.AddCellScalars(etype, 'ANSYS_elem_typenum')
grid.AddCellScalars(rcon, 'ANSYS_real_constant')
# Add node components to unstructured grid
ibool = np.empty(grid.GetNumberOfPoints(), dtype=np.int8)
for comp in self.raw['node_comps']:
ibool[:] = 0 # reset component array
# Convert to new node numbering
nodenum = numref[self.raw['node_comps'][comp]]
ibool[nodenum] = 1
grid.AddPointScalars(ibool, comp.strip())
# merge duplicate points
if possible_merged:
vtkappend = vtk.vtkAppendFilter()
vtkappend.AddInputData(grid)
vtkappend.MergePointsOn()
vtkappend.Update()
grid = vtkInterface.UnstructuredGrid(vtkappend.GetOutput())
# Add tracker for original node numbering
npoints = grid.GetNumberOfPoints()
grid.AddPointScalars(np.arange(npoints), 'VTKorigID')
self.vtkuGrid = grid
return grid
