DAMASK_EICMD/python/damask/_vtk.py

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import os
import multiprocessing as mp
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from pathlib import Path
import pandas as pd
import numpy as np
import vtk
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from vtk.util.numpy_support import numpy_to_vtk as np_to_vtk
from vtk.util.numpy_support import numpy_to_vtkIdTypeArray as np_to_vtkIdTypeArray
from vtk.util.numpy_support import vtk_to_numpy as vtk_to_np
from . import util
from . import environment
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from . import Table
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class VTK:
"""
Spatial visualization (and potentially manipulation).
High-level interface to VTK.
"""
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def __init__(self,vtk_data):
"""
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Initialize from vtk dataset.
Parameters
----------
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vtk_data : subclass of vtk.vtkDataSet
Description of geometry and topology, optionally with attached data.
Valid types are vtk.vtkRectilinearGrid, vtk.vtkUnstructuredGrid,
or vtk.vtkPolyData.
"""
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self.vtk_data = vtk_data
@staticmethod
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def from_rectilinear_grid(grid,size,origin=np.zeros(3)):
"""
Create VTK of type vtk.vtkRectilinearGrid.
This is the common type for grid solver results.
Parameters
----------
grid : iterable of int, len (3)
Number of cells along each dimension.
size : iterable of float, len (3)
Physical lengths along each dimension.
origin : iterable of float, len (3), optional
Spatial origin coordinates.
"""
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vtk_data = vtk.vtkRectilinearGrid()
vtk_data.SetDimensions(*(np.array(grid)+1))
coord = [np_to_vtk(np.linspace(origin[i],origin[i]+size[i],grid[i]+1),deep=True) for i in [0,1,2]]
[coord[i].SetName(n) for i,n in enumerate(['x','y','z'])]
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vtk_data.SetXCoordinates(coord[0])
vtk_data.SetYCoordinates(coord[1])
vtk_data.SetZCoordinates(coord[2])
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return VTK(vtk_data)
@staticmethod
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def from_unstructured_grid(nodes,connectivity,cell_type):
"""
Create VTK of type vtk.vtkUnstructuredGrid.
This is the common type for FEM solver results.
Parameters
----------
nodes : numpy.ndarray of shape (:,3)
Spatial position of the nodes.
connectivity : numpy.ndarray of np.dtype = int
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Cell connectivity (0-based), first dimension determines #Cells,
second dimension determines #Nodes/Cell.
cell_type : str
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Name of the vtk.vtkCell subclass. Tested for TRIANGLE, QUAD, TETRA, and HEXAHEDRON.
"""
vtk_nodes = vtk.vtkPoints()
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vtk_nodes.SetData(np_to_vtk(nodes))
cells = vtk.vtkCellArray()
cells.SetNumberOfCells(connectivity.shape[0])
T = np.concatenate((np.ones((connectivity.shape[0],1),dtype=np.int64)*connectivity.shape[1],
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connectivity),axis=1).ravel()
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cells.SetCells(connectivity.shape[0],np_to_vtkIdTypeArray(T,deep=True))
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vtk_data = vtk.vtkUnstructuredGrid()
vtk_data.SetPoints(vtk_nodes)
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cell_types = {'TRIANGLE':vtk.VTK_TRIANGLE, 'QUAD':vtk.VTK_QUAD,
'TETRA' :vtk.VTK_TETRA, 'HEXAHEDRON':vtk.VTK_HEXAHEDRON}
vtk_data.SetCells(cell_types[cell_type.split("_",1)[-1].upper()],cells)
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return VTK(vtk_data)
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@staticmethod
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def from_poly_data(points):
"""
Create VTK of type vtk.polyData.
This is the common type for point-wise data.
Parameters
----------
points : numpy.ndarray of shape (:,3)
Spatial position of the points.
"""
N = points.shape[0]
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vtk_points = vtk.vtkPoints()
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vtk_points.SetData(np_to_vtk(points))
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vtk_cells = vtk.vtkCellArray()
vtk_cells.SetNumberOfCells(N)
vtk_cells.SetCells(N,np_to_vtkIdTypeArray(np.stack((np.ones (N,dtype=np.int64),
np.arange(N,dtype=np.int64)),axis=1).ravel(),deep=True))
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vtk_data = vtk.vtkPolyData()
vtk_data.SetPoints(vtk_points)
vtk_data.SetVerts(vtk_cells)
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return VTK(vtk_data)
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@staticmethod
def load(fname,dataset_type=None):
"""
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Load from VTK file.
Parameters
----------
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fname : str or pathlib.Path
Filename for reading. Valid extensions are .vtr, .vtu, .vtp, and .vtk.
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dataset_type : str, optional
Name of the vtk.vtkDataSet subclass when opening a .vtk file. Valid types are vtkRectilinearGrid,
vtkUnstructuredGrid, and vtkPolyData.
"""
if not os.path.isfile(fname): # vtk has a strange error handling
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raise FileNotFoundError(f'no such file: {fname}')
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ext = Path(fname).suffix
if ext == '.vtk' or dataset_type is not None:
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reader = vtk.vtkGenericDataObjectReader()
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reader.SetFileName(str(fname))
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if dataset_type is None:
raise TypeError('Dataset type for *.vtk file not given.')
elif dataset_type.lower().endswith('rectilineargrid'):
reader.Update()
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vtk_data = reader.GetRectilinearGridOutput()
elif dataset_type.lower().endswith('unstructuredgrid'):
reader.Update()
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vtk_data = reader.GetUnstructuredGridOutput()
elif dataset_type.lower().endswith('polydata'):
reader.Update()
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vtk_data = reader.GetPolyDataOutput()
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else:
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raise TypeError(f'Unknown dataset type {dataset_type} for vtk file')
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else:
if ext == '.vtr':
reader = vtk.vtkXMLRectilinearGridReader()
elif ext == '.vtu':
reader = vtk.vtkXMLUnstructuredGridReader()
elif ext == '.vtp':
reader = vtk.vtkXMLPolyDataReader()
else:
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raise TypeError(f'Unknown file extension {ext}')
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reader.SetFileName(str(fname))
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reader.Update()
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vtk_data = reader.GetOutput()
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return VTK(vtk_data)
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@staticmethod
def _write(writer):
"""Wrapper for parallel writing."""
writer.Write()
def save(self,fname,parallel=True,compress=True):
"""
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Save as VTK file.
Parameters
----------
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fname : str or pathlib.Path
Filename for writing.
parallel : boolean, optional
Write data in parallel background process. Defaults to True.
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compress : bool, optional
Compress with zlib algorithm. Defaults to True.
"""
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if isinstance(self.vtk_data,vtk.vtkRectilinearGrid):
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writer = vtk.vtkXMLRectilinearGridWriter()
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elif isinstance(self.vtk_data,vtk.vtkUnstructuredGrid):
writer = vtk.vtkXMLUnstructuredGridWriter()
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elif isinstance(self.vtk_data,vtk.vtkPolyData):
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writer = vtk.vtkXMLPolyDataWriter()
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default_ext = '.'+writer.GetDefaultFileExtension()
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ext = Path(fname).suffix
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writer.SetFileName(str(fname)+(default_ext if default_ext != ext else ''))
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if compress:
writer.SetCompressorTypeToZLib()
else:
writer.SetCompressorTypeToNone()
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writer.SetDataModeToBinary()
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writer.SetInputData(self.vtk_data)
if parallel:
try:
mp_writer = mp.Process(target=self._write,args=(writer,))
mp_writer.start()
except TypeError:
writer.Write()
else:
writer.Write()
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# Check https://blog.kitware.com/ghost-and-blanking-visibility-changes/ for missing data
# Needs support for pd.DataFrame and/or table
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def add(self,data,label=None):
"""
Add data to either cells or points.
Parameters
----------
data : numpy.ndarray
Data to add. First dimension needs to match either
number of cells or number of points.
label : str
Data label.
"""
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N_points = self.vtk_data.GetNumberOfPoints()
N_cells = self.vtk_data.GetNumberOfCells()
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if isinstance(data,np.ndarray):
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if label is None:
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raise ValueError('No label defined for numpy.ndarray')
N_data = data.shape[0]
d = np_to_vtk((data.astype(np.float32) if data.dtype in [np.float64, np.float128]
else data).reshape(N_data,-1),deep=True) # avoid large files
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d.SetName(label)
if N_data == N_points:
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self.vtk_data.GetPointData().AddArray(d)
elif N_data == N_cells:
self.vtk_data.GetCellData().AddArray(d)
else:
raise ValueError(f'Cell / point count ({N_cells} / {N_points}) differs from data ({N_data}).')
elif isinstance(data,pd.DataFrame):
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raise NotImplementedError('pd.DataFrame')
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elif isinstance(data,Table):
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raise NotImplementedError('damask.Table')
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else:
raise TypeError
def get(self,label):
"""
Get either cell or point data.
Cell data takes precedence over point data, i.e. this
function assumes that labels are unique among cell and
point data.
Parameters
----------
label : str
Data label.
"""
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cell_data = self.vtk_data.GetCellData()
for a in range(cell_data.GetNumberOfArrays()):
if cell_data.GetArrayName(a) == label:
return vtk_to_np(cell_data.GetArray(a))
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point_data = self.vtk_data.GetPointData()
for a in range(point_data.GetNumberOfArrays()):
if point_data.GetArrayName(a) == label:
return vtk_to_np(point_data.GetArray(a))
raise ValueError(f'Array "{label}" not found.')
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def get_comments(self):
"""Return the comments."""
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fielddata = self.vtk_data.GetFieldData()
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for a in range(fielddata.GetNumberOfArrays()):
if fielddata.GetArrayName(a) == 'comments':
comments = fielddata.GetAbstractArray(a)
return [comments.GetValue(i) for i in range(comments.GetNumberOfValues())]
return []
def set_comments(self,comments):
"""
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Set comments.
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Parameters
----------
comments : str or list of str
Comments.
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"""
s = vtk.vtkStringArray()
s.SetName('comments')
for c in [comments] if isinstance(comments,str) else comments:
s.InsertNextValue(c)
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self.vtk_data.GetFieldData().AddArray(s)
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def add_comments(self,comments):
"""
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Add comments.
Parameters
----------
comments : str or list of str
Comments to add.
"""
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self.set_comments(self.get_comments() + ([comments] if isinstance(comments,str) else comments))
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def __repr__(self):
"""ASCII representation of the VTK data."""
writer = vtk.vtkDataSetWriter()
writer.SetHeader(f'# {util.execution_stamp("VTK")}')
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writer.WriteToOutputStringOn()
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writer.SetInputData(self.vtk_data)
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writer.Write()
return writer.GetOutputString()
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def show(self):
"""
Render.
See http://compilatrix.com/article/vtk-1 for further ideas.
"""
mapper = vtk.vtkDataSetMapper()
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mapper.SetInputData(self.vtk_data)
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actor = vtk.vtkActor()
actor.SetMapper(mapper)
ren = vtk.vtkRenderer()
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window = vtk.vtkRenderWindow()
window.AddRenderer(ren)
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ren.AddActor(actor)
ren.SetBackground(0.2,0.2,0.2)
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window.SetSize(environment.screen_size[0],environment.screen_size[1])
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iren = vtk.vtkRenderWindowInteractor()
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iren.SetRenderWindow(window)
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iren.Initialize()
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window.Render()
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iren.Start()