Python vtk.vtkDoubleArray方法代码示例

# 需要导入模块: import vtk [as 别名]
# 或者: from vtk import vtkDoubleArray [as 别名]
def add_field_data(self, grid):
        """An internal helper to add the recovered information as field data
        """
        # Add angle
        a = vtk.vtkDoubleArray()
        a.SetName('Recovered Angle (Deg.)')
        a.SetNumberOfValues(1)
        a.SetValue(0, np.rad2deg(self.__angle))
        grid.GetFieldData().AddArray(a)
        # Add cell sizes
        s = vtk.vtkDoubleArray()
        s.SetName('Recovered Cell Sizes')
        s.SetNumberOfComponents(3)
        s.InsertNextTuple3(self.__dx, self.__dy, self.__dz)
        grid.GetFieldData().AddArray(s)
        return grid 

# 需要导入模块: import vtk [as 别名]
# 或者: from vtk import vtkDoubleArray [as 别名]
def AddPoses(self, matrix_list):
        """"Add poses (4x4 NumPy arrays) to the object 
        """
        R_list = [p[:3, :3] for p in matrix_list]  # translation data
        t_list = [p[:3, 3] for p in matrix_list]  # rotation data

        self.points = vtk.vtkPoints()  # where t goes
        self.tensors = vtk.vtkDoubleArray()  # where R goes, column major
        self.tensors.SetNumberOfComponents(9)
        for i, R, t in zip(count(), R_list, t_list):
            self.points.InsertNextPoint(*tuple(t))
            self.tensors.InsertNextTypedTuple(tuple(R.ravel(order="F")))

        self.pose_pd = vtk.vtkPolyData()
        self.pose_pd.SetPoints(self.points)
        self.pose_pd.GetPointData().SetTensors(self.tensors) 

# 需要导入模块: import vtk [as 别名]
# 或者: from vtk import vtkDoubleArray [as 别名]
def clear_points(self):
        self.vtkPoints = vtk.vtkPoints()
        self.vtkCells = vtk.vtkCellArray()
        self.vtkDepth = vtk.vtkDoubleArray()
        self.vtkDepth.SetName('DepthArray')
        self.vtkPolyData.SetPoints(self.vtkPoints)
        self.vtkPolyData.SetVerts(self.vtkCells)
        self.vtkPolyData.GetPointData().SetScalars(self.vtkDepth)
        self.vtkPolyData.GetPointData().SetActiveScalars('DepthArray') 

# 需要导入模块: import vtk [as 别名]
# 或者: from vtk import vtkDoubleArray [as 别名]
def clearPoints(self):
        """
        Clear all points from the point cloud
        :return: None
        """
        self.vtkPoints = vtk.vtkPoints()
        self.vtkCells = vtk.vtkCellArray()
        self.vtkDepth = vtk.vtkDoubleArray()
        self.vtkDepth.SetName('DepthArray')
        self.vtkPolyData.SetPoints(self.vtkPoints)
        self.vtkPolyData.SetVerts(self.vtkCells)
        self.vtkPolyData.GetPointData().SetScalars(self.vtkDepth)
        self.vtkPolyData.GetPointData().SetActiveScalars('DepthArray') 

# 需要导入模块: import vtk [as 别名]
# 或者: from vtk import vtkDoubleArray [as 别名]
def get_array_values(dims, arr, component):
    data = vtk.vtkDoubleArray()
    arr.GetData(0,arr.GetNumberOfTuples()-1,component,component,data)
    values = np.empty(dims)
    data.ExportToVoidPointer(values)
    return values.ravel() 

# 需要导入模块: import vtk [as 别名]
# 或者: from vtk import vtkDoubleArray [as 别名]
def compute_implicit_distance(dataset, surface, inplace=False):
        """Compute the implicit distance from the points to a surface.

        This filter will comput the implicit distance from all of the nodes of
        this mesh to a given surface. This distance will be added as a point
        array called ``'implicit_distance'``.

        Parameters
        ----------
        surface : pyvista.Common
            The surface used to compute the distance

        inplace : bool
            If True, a new scalar array will be added to the ``point_arrays``
            of this mesh. Otherwise a copy of this mesh is returned with that
            scalar field.
        """
        function = vtk.vtkImplicitPolyDataDistance()
        function.SetInput(surface)
        points = pyvista.convert_array(dataset.points)
        dists = vtk.vtkDoubleArray()
        function.FunctionValue(points, dists)
        if inplace:
            dataset.point_arrays['implicit_distance'] = pyvista.convert_array(dists)
            return
        result = dataset.copy()
        result.point_arrays['implicit_distance'] = pyvista.convert_array(dists)
        return result 

# 需要导入模块: import vtk [as 别名]
# 或者: from vtk import vtkDoubleArray [as 别名]
def clip_surface(dataset, surface, invert=True, value=0.0,
                     compute_distance=False):
        """Clip any mesh type using a :class:`pyvista.PolyData` surface mesh.

        This will return a :class:`pyvista.UnstructuredGrid` of the clipped
        mesh. Geometry of the input dataset will be preserved where possible -
        geometries near the clip intersection will be triangulated/tessellated.

        Parameters
        ----------
        surface : pyvista.PolyData
            The PolyData surface mesh to use as a clipping function. If this
            mesh is not PolyData, the external surface will be extracted.

        invert : bool
            Flag on whether to flip/invert the clip

        value : float:
            Set the clipping value of the implicit function (if clipping with
            implicit function) or scalar value (if clipping with scalars).
            The default value is 0.0.

        compute_distance : bool, optional
            Compute the implicit distance from the mesh onto the input dataset.
            A new array called ``'implicit_distance'`` will be added to the
            output clipped mesh.

        """
        if not isinstance(surface, vtk.vtkPolyData):
            surface = DataSetFilters.extract_geometry(surface)
        function = vtk.vtkImplicitPolyDataDistance()
        function.SetInput(surface)
        if compute_distance:
            points = pyvista.convert_array(dataset.points)
            dists = vtk.vtkDoubleArray()
            function.FunctionValue(points, dists)
            dataset['implicit_distance'] = pyvista.convert_array(dists)
        # run the clip
        result = DataSetFilters._clip_with_function(dataset, function,
                                                    invert=invert, value=value)
        return result 

# 需要导入模块: import vtk [as 别名]
# 或者: from vtk import vtkDoubleArray [as 别名]
def RequestData(self, request, inInfo, outInfo):
        """Used by pipeline to get data for current timestep and populate the
        output data object.
        """
        # Set points using parent
        DelimitedPointsReaderBase.RequestData(self, request, inInfo, outInfo)
        # Add field data to ouptput
        output = self.GetOutputData(outInfo, 0)

        # Add inducing magnetic field
        x, y, z = self.convert_vector(self.__incl, self.__decl, mag=self.__geomag)
        ind = vtk.vtkDoubleArray()
        ind.SetName('Inducing Magnetic Field')
        ind.SetNumberOfComponents(3)
        ind.InsertNextTuple3(x, y, z)
        output.GetFieldData().AddArray(ind)

        # Add Inclination and declination of the anomaly projection
        x, y, z = self.convert_vector(self.__ainc, self.__adec)
        anom = vtk.vtkDoubleArray()
        anom.SetName('Anomaly Projection')
        anom.SetNumberOfComponents(3)
        anom.InsertNextTuple3(x, y, z)
        output.GetFieldData().AddArray(anom)

        return 1



############################################################################### 

# 需要导入模块: import vtk [as 别名]
# 或者: from vtk import vtkDoubleArray [as 别名]
def clearPoints(self):
        self.vtkPoints = vtk.vtkPoints()
        self.vtkCells = vtk.vtkCellArray()
        self.vtkDepth = vtk.vtkDoubleArray()
        self.vtkDepth.SetName('DepthArray')
        self.vtkPolyData.SetPoints(self.vtkPoints)
        self.vtkPolyData.SetVerts(self.vtkCells)
        self.vtkPolyData.GetPointData().SetScalars(self.vtkDepth)
        self.vtkPolyData.GetPointData().SetActiveScalars('DepthArray')

        self.Colors = vtk.vtkUnsignedCharArray()
        self.Colors.SetNumberOfComponents(3) 
        self.Colors.SetName("Colors") 

# 需要导入模块: import vtk [as 别名]
# 或者: from vtk import vtkDoubleArray [as 别名]
def draw_grid():
    xArray = vtk.vtkDoubleArray()
    yArray = vtk.vtkDoubleArray()
    zArray = vtk.vtkDoubleArray()

    for x in range(-60, 61):
        xArray.InsertNextValue(x)
    # for y in range(-10, 10):
    #     yArray.InsertNextValue(y)
    for y in range(0, 1):
        yArray.InsertNextValue(y)
    for z in range(-80, 80):
        zArray.InsertNextValue(z)

    grid = vtk.vtkRectilinearGrid()
    grid.SetDimensions(121, 1, 161)
    grid.SetXCoordinates(xArray)
    grid.SetYCoordinates(yArray)
    grid.SetZCoordinates(zArray)

    # print(grid.GetPoint(0))

    gridMapper = vtk.vtkDataSetMapper()
    gridMapper.SetInputData(grid)

    gridActor = vtk.vtkActor()
    gridActor.SetMapper(gridMapper)
    gridActor.GetProperty().SetColor(0.75, 0.75, 0)
    gridActor.GetProperty().SetOpacity(0.1)
    # import pdb; pdb.set_trace()
    return gridActor 

# 需要导入模块: import vtk [as 别名]
# 或者: from vtk import vtkDoubleArray [as 别名]
def add_image_data(vtk_dataset, tecplot_dataset):
    assert(vtk_dataset.GetDataObjectType() == vtk.VTK_IMAGE_DATA)

    dims = vtk_dataset.GetDimensions()
    pd = vtk_dataset.GetPointData()
    
    var_names = ['x', 'y', 'z']
    for i in range(pd.GetNumberOfArrays()):
        arr = pd.GetArray(i)
        var_names.append(arr.GetName())

    zone_name = "NO ZONE NAME"
    # Add the XYZ variables - a dataset needs one variable before you can add a zone
    tecplot_dataset.add_variable(var_names[0], dtypes = [FieldDataType.Float])
    tecplot_dataset.add_variable(var_names[1], dtypes = [FieldDataType.Float])
    tecplot_dataset.add_variable(var_names[2], dtypes = [FieldDataType.Float])
    zone = tecplot_dataset.add_ordered_zone(zone_name, dims)
    
    # Write XYZ values
    spacing = vtk_dataset.GetSpacing()
    origin = vtk_dataset.GetOrigin()
    xvals = np.linspace(origin[0] - spacing[0]*dims[0]/2, origin[0] + spacing[0]*dims[0]/2, dims[0])
    yvals = np.linspace(origin[1] - spacing[1]*dims[1]/2, origin[1] + spacing[1]*dims[1]/2, dims[1])
    zvals = np.linspace(origin[2] - spacing[2]*dims[2]/2, origin[2] + spacing[2]*dims[2]/2, dims[2])
    xx,yy,zz = np.meshgrid(xvals,yvals,zvals,indexing='ij')
    zone.values(0)[:] = xx.ravel()
    zone.values(1)[:] = yy.ravel()
    zone.values(2)[:] = zz.ravel()
    
    # Write the Point Data
    var_num = 3
    for i in range(pd.GetNumberOfArrays()):
        arr = pd.GetArray(i)
        type = arr.GetDataType()
        data = vtk.vtkDoubleArray()
        arr.GetData(0,arr.GetNumberOfTuples()-1,0,0,data)
        values = np.zeros(dims)
        data.ExportToVoidPointer(values)
        # VTI point data is not in the same IJK order as Tecplot, so we must
        # "roll" the values to reorder them.
        values = np.rollaxis(np.rollaxis(values,1), -1).ravel()
        fd_type = field_data_type(type)
        tecplot_dataset.add_variable(var_names[var_num], dtypes = [fd_type])
        if fd_type == FieldDataType.Float or fd_type == FieldDataType.Double:
            zone.values(var_num)[:] = values
        elif fd_type == FieldDataType.Byte or fd_type == FieldDataType.Int16:
            zone.values(var_num)[:] = values.astype(int)
        var_num += 1
    
    return zone 

# 需要导入模块: import vtk [as 别名]
# 或者: from vtk import vtkDoubleArray [as 别名]
def convert_vti_file(src,dst):
    reader = vtk.vtkXMLImageDataReader()
    reader.SetFileName(src)
    reader.Update()
    output = reader.GetOutput()
    
    dims = output.GetDimensions()
    fd = output.GetFieldData()
    cd = output.GetCellData()
    pd = output.GetPointData()
    
    var_names = ['x', 'y', 'z']
    for i in range(pd.GetNumberOfArrays()):
        arr = pd.GetArray(i)
        var_names.append(arr.GetName())

    use_double = False
    tecio.open_file(dst, src, var_names, use_double)
    solution_time = 0
    strand = 0
    tecio.create_ordered_zone(src, dims, solution_time, strand)

    # Write XYZ values
    spacing = output.GetSpacing()
    origin = output.GetOrigin()
    xvals = np.linspace(origin[0] - spacing[0]*dims[0]/2, origin[0] + spacing[0]*dims[0]/2, dims[0])
    yvals = np.linspace(origin[1] - spacing[1]*dims[1]/2, origin[1] + spacing[1]*dims[1]/2, dims[1])
    zvals = np.linspace(origin[2] - spacing[2]*dims[2]/2, origin[2] + spacing[2]*dims[2]/2, dims[2])
    xx,yy,zz = np.meshgrid(xvals,yvals,zvals,indexing='ij')
    tecio.zone_write_values(xx.ravel())
    tecio.zone_write_values(yy.ravel())
    tecio.zone_write_values(zz.ravel())
    
    # Write the Point Data
    for i in range(pd.GetNumberOfArrays()):
        arr = pd.GetArray(i)
        print("Writing: ", arr.GetName())

        # Get the data values from the array
        data = vtk.vtkDoubleArray()
        arr.GetData(0,arr.GetNumberOfTuples()-1,0,0,data)
        values = np.zeros(dims)
        data.ExportToVoidPointer(values)
        # VTI point data is not in the same IJK order as Tecplot, so we must
        # "roll" the values to reorder them.
        values = np.rollaxis(np.rollaxis(values,1), -1).ravel()
        tecio.zone_write_values(values)
    tecio.close_file() 

# 需要导入模块: import vtk [as 别名]
# 或者: from vtk import vtkDoubleArray [as 别名]
def create_dataset(filename):
    reader = vtk.vtkXMLImageDataReader()
    reader.SetFileName(filename)
    reader.Update()
    output = reader.GetOutput()
    
    dims = output.GetDimensions()
    fd = output.GetFieldData()
    cd = output.GetCellData()
    pd = output.GetPointData()
    
    var_names = ['x', 'y', 'z']
    for i in range(pd.GetNumberOfArrays()):
        arr = pd.GetArray(i)
        var_names.append(arr.GetName())

    tp.new_layout()
    ds = tp.active_frame().create_dataset(filename)
    # Add the XYZ variables - a dataset needs one variable before you can add a zone
    ds.add_variable(var_names[0], dtypes = [FieldDataType.Float])
    ds.add_variable(var_names[1], dtypes = [FieldDataType.Float])
    ds.add_variable(var_names[2], dtypes = [FieldDataType.Float])
    solution_time = float(filename.split('_')[-1].split('.')[0])
    strand = 1
    zone = ds.add_ordered_zone(filename, dims)
    zone.solution_time = solution_time
    zone.strand = strand

    # Write XYZ values
    spacing = output.GetSpacing()
    origin = output.GetOrigin()
    xvals = np.linspace(origin[0] - spacing[0]*dims[0]/2, origin[0] + spacing[0]*dims[0]/2, dims[0])
    yvals = np.linspace(origin[1] - spacing[1]*dims[1]/2, origin[1] + spacing[1]*dims[1]/2, dims[1])
    zvals = np.linspace(origin[2] - spacing[2]*dims[2]/2, origin[2] + spacing[2]*dims[2]/2, dims[2])
    xx,yy,zz = np.meshgrid(xvals,yvals,zvals,indexing='ij')
    zone.values(0)[:] = xx.ravel()
    zone.values(1)[:] = yy.ravel()
    zone.values(2)[:] = zz.ravel()
    
    # Write the Point Data
    var_num = 3
    for i in range(pd.GetNumberOfArrays()):
        arr = pd.GetArray(i)
        type = arr.GetDataType()
        print("Writing: ", arr.GetName())
        data = vtk.vtkDoubleArray()
        arr.GetData(0,arr.GetNumberOfTuples()-1,0,0,data)
        values = np.zeros(dims)
        data.ExportToVoidPointer(values)
        # VTI point data is not in the same IJK order as Tecplot, so we must
        # "roll" the values to reorder them.
        values = np.rollaxis(np.rollaxis(values,1), -1).ravel()
        fd_type = field_data_type(type)
        ds.add_variable(var_names[var_num], dtypes = [fd_type])
        if fd_type == FieldDataType.Float or fd_type == FieldDataType.Double:
            zone.values(var_num)[:] = values
        elif fd_type == FieldDataType.Byte or fd_type == FieldDataType.Int16:
            zone.values(var_num)[:] = values.astype(int)
        var_num += 1
    return ds