vtk.numpy_interface.internal_algorithms Module

paraview.vtk.numpy_interface.internal_algorithms.abs(narray)[source]

Returns the absolute values of an array of scalars/vectors/tensors.

paraview.vtk.numpy_interface.internal_algorithms.all(narray, axis=None)[source]

Returns the min value of an array of scalars/vectors/tensors.

paraview.vtk.numpy_interface.internal_algorithms.area(dataset)[source]

Returns the surface area of each cell in a mesh.

paraview.vtk.numpy_interface.internal_algorithms.aspect(dataset)[source]

Returns the aspect ratio of each cell in a mesh.

paraview.vtk.numpy_interface.internal_algorithms.aspect_gamma(dataset)[source]

Returns the aspect ratio gamma of each cell in a mesh.

paraview.vtk.numpy_interface.internal_algorithms.condition(dataset)[source]

Returns the condition number of each cell in a mesh.

paraview.vtk.numpy_interface.internal_algorithms.cross(x, y)[source]

Return the cross product for two 3D vectors from two arrays of 3D vectors.

paraview.vtk.numpy_interface.internal_algorithms.curl(narray, dataset=None)[source]

Returns the curl of an array of 3D vectors.

paraview.vtk.numpy_interface.internal_algorithms.det(narray)[source]

Returns the determinant of an array of 2D square matrices.

paraview.vtk.numpy_interface.internal_algorithms.determinant(narray)[source]

Returns the determinant of an array of 2D square matrices.

paraview.vtk.numpy_interface.internal_algorithms.diagonal(dataset)[source]

Returns the diagonal length of each cell in a dataset.

paraview.vtk.numpy_interface.internal_algorithms.divergence(narray, dataset=None)[source]

Returns the divergence of an array of 3D vectors.

paraview.vtk.numpy_interface.internal_algorithms.dot(a1, a2)[source]

Returns the dot product of two scalars/vectors of two array of scalars/vectors.

paraview.vtk.numpy_interface.internal_algorithms.eigenvalue(narray)[source]

Returns the eigenvalue of an array of 2D square matrices.

paraview.vtk.numpy_interface.internal_algorithms.eigenvector(narray)[source]

Returns the eigenvector of an array of 2D square matrices.

paraview.vtk.numpy_interface.internal_algorithms.gradient(narray, dataset=None)[source]

Returns the gradient of an array of scalars/vectors.

paraview.vtk.numpy_interface.internal_algorithms.inv(narray)[source]

Returns the inverse an array of 2D square matrices.

paraview.vtk.numpy_interface.internal_algorithms.inverse(narray)[source]

Returns the inverse of an array of 2D square matrices.

paraview.vtk.numpy_interface.internal_algorithms.jacobian(dataset)[source]

Returns the jacobian of an array of 2D square matrices.

paraview.vtk.numpy_interface.internal_algorithms.laplacian(narray, dataset=None)[source]

Returns the jacobian of an array of scalars.

paraview.vtk.numpy_interface.internal_algorithms.ln(narray)[source]

Returns the natural logarithm of an array of scalars/vectors/tensors.

paraview.vtk.numpy_interface.internal_algorithms.log(narray)[source]

Returns the natural logarithm of an array of scalars/vectors/tensors.

paraview.vtk.numpy_interface.internal_algorithms.log10(narray)[source]

Returns the base 10 logarithm of an array of scalars/vectors/tensors.

paraview.vtk.numpy_interface.internal_algorithms.mag(a)[source]

Returns the magnigude of an array of scalars/vectors.

paraview.vtk.numpy_interface.internal_algorithms.make_vector(ax, ay, az=None)[source]
paraview.vtk.numpy_interface.internal_algorithms.max(narray, axis=None)[source]

Returns the maximum value of an array of scalars/vectors/tensors.

paraview.vtk.numpy_interface.internal_algorithms.max_angle(dataset)[source]

Returns the maximum angle of each cell in a dataset.

paraview.vtk.numpy_interface.internal_algorithms.mean(narray, axis=None)[source]

Returns the mean value of an array of scalars/vectors/tensors.

paraview.vtk.numpy_interface.internal_algorithms.min(narray, axis=None)[source]

Returns the min value of an array of scalars/vectors/tensors.

paraview.vtk.numpy_interface.internal_algorithms.min_angle(dataset)[source]

Returns the minimum angle of each cell in a dataset.

paraview.vtk.numpy_interface.internal_algorithms.norm(a)[source]

Returns the normalized values of an array of scalars/vectors.

paraview.vtk.numpy_interface.internal_algorithms.shear(dataset)[source]

Returns the shear of each cell in a dataset.

paraview.vtk.numpy_interface.internal_algorithms.skew(dataset)[source]

Returns the skew of each cell in a dataset.

paraview.vtk.numpy_interface.internal_algorithms.strain(narray, dataset=None)[source]

Returns the strain of an array of 3D vectors.

paraview.vtk.numpy_interface.internal_algorithms.sum(narray, axis=None)[source]

Returns the min value of an array of scalars/vectors/tensors.

paraview.vtk.numpy_interface.internal_algorithms.surface_normal(dataset)[source]

Returns the surface normal of each cell in a dataset.

paraview.vtk.numpy_interface.internal_algorithms.trace(narray)[source]

Returns the trace of an array of 2D square matrices.

paraview.vtk.numpy_interface.internal_algorithms.var(narray, axis=None)[source]

Returns the mean value of an array of scalars/vectors/tensors.

paraview.vtk.numpy_interface.internal_algorithms.vertex_normal(dataset)[source]

Returns the vertex normal of each point in a dataset.

paraview.vtk.numpy_interface.internal_algorithms.volume(dataset)[source]

Returns the volume normal of each cell in a dataset.

paraview.vtk.numpy_interface.internal_algorithms.vorticity(narray, dataset=None)[source]

Returns the vorticity/curl of an array of 3D vectors.