vtkmodules.numpy_interface.internal_algorithms

Module Contents

Functions

_cell_derivatives
_cell_quality
_matrix_math_filter
abs	Returns the absolute values of an array of scalars/vectors/tensors.
all	Returns the min value of an array of scalars/vectors/tensors.
area	Returns the surface area of each cell in a mesh.
aspect	Returns the aspect ratio of each cell in a mesh.
aspect_gamma	Returns the aspect ratio gamma of each cell in a mesh.
condition	Returns the condition number of each cell in a mesh.
cross	Return the cross product for two 3D vectors from two arrays of 3D vectors.
curl	Returns the curl of an array of 3D vectors.
divergence	Returns the divergence of an array of 3D vectors.
det	Returns the determinant of an array of 2D square matrices.
determinant	Returns the determinant of an array of 2D square matrices.
diagonal	Returns the diagonal length of each cell in a dataset.
dot	Returns the dot product of two scalars/vectors of two array of scalars/vectors.
eigenvalue	Returns the eigenvalue of an array of 2D square matrices.
eigenvector	Returns the eigenvector of an array of 2D square matrices.
gradient	Returns the gradient of an array of scalars/vectors.
inv	Returns the inverse an array of 2D square matrices.
inverse	Returns the inverse of an array of 2D square matrices.
jacobian	Returns the jacobian of an array of 2D square matrices.
laplacian	Returns the jacobian of an array of scalars.
ln	Returns the natural logarithm of an array of scalars/vectors/tensors.
log	Returns the natural logarithm of an array of scalars/vectors/tensors.
log10	Returns the base 10 logarithm of an array of scalars/vectors/tensors.
max	Returns the maximum value of an array of scalars/vectors/tensors.
max_angle	Returns the maximum angle of each cell in a dataset.
mag	Returns the magnigude of an array of scalars/vectors.
mean	Returns the mean value of an array of scalars/vectors/tensors.
min	Returns the min value of an array of scalars/vectors/tensors.
min_angle	Returns the minimum angle of each cell in a dataset.
norm	Returns the normalized values of an array of scalars/vectors.
shear	Returns the shear of each cell in a dataset.
skew	Returns the skew of each cell in a dataset.
strain	Returns the strain of an array of 3D vectors.
sum	Returns the min value of an array of scalars/vectors/tensors.
surface_normal	Returns the surface normal of each cell in a dataset.
trace	Returns the trace of an array of 2D square matrices.
var	Returns the mean value of an array of scalars/vectors/tensors.
volume	Returns the volume of each cell in a dataset.
vorticity	Returns the vorticity/curl of an array of 3D vectors.
vertex_normal	Returns the vertex normal of each point in a dataset.
make_vector

API

vtkmodules.numpy_interface.internal_algorithms._cell_derivatives(narray, dataset, attribute_type, filter)

vtkmodules.numpy_interface.internal_algorithms._cell_quality(dataset, quality)

vtkmodules.numpy_interface.internal_algorithms._matrix_math_filter(narray, operation)

vtkmodules.numpy_interface.internal_algorithms.abs(narray)

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

vtkmodules.numpy_interface.internal_algorithms.all(narray, axis=None)

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

vtkmodules.numpy_interface.internal_algorithms.area(dataset)

Returns the surface area of each cell in a mesh.

vtkmodules.numpy_interface.internal_algorithms.aspect(dataset)

Returns the aspect ratio of each cell in a mesh.

vtkmodules.numpy_interface.internal_algorithms.aspect_gamma(dataset)

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

vtkmodules.numpy_interface.internal_algorithms.condition(dataset)

Returns the condition number of each cell in a mesh.

vtkmodules.numpy_interface.internal_algorithms.cross(x, y)

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

vtkmodules.numpy_interface.internal_algorithms.curl(narray, dataset=None)

Returns the curl of an array of 3D vectors.

vtkmodules.numpy_interface.internal_algorithms.divergence(narray, dataset=None)

Returns the divergence of an array of 3D vectors.

vtkmodules.numpy_interface.internal_algorithms.det(narray)

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

vtkmodules.numpy_interface.internal_algorithms.determinant(narray)

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

vtkmodules.numpy_interface.internal_algorithms.diagonal(dataset)

Returns the diagonal length of each cell in a dataset.

vtkmodules.numpy_interface.internal_algorithms.dot(a1, a2)

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

vtkmodules.numpy_interface.internal_algorithms.eigenvalue(narray)

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

vtkmodules.numpy_interface.internal_algorithms.eigenvector(narray)

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

vtkmodules.numpy_interface.internal_algorithms.gradient(narray, dataset=None)

Returns the gradient of an array of scalars/vectors.

vtkmodules.numpy_interface.internal_algorithms.inv(narray)

Returns the inverse an array of 2D square matrices.

vtkmodules.numpy_interface.internal_algorithms.inverse(narray)

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

vtkmodules.numpy_interface.internal_algorithms.jacobian(dataset)

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

vtkmodules.numpy_interface.internal_algorithms.laplacian(narray, dataset=None)

Returns the jacobian of an array of scalars.

vtkmodules.numpy_interface.internal_algorithms.ln(narray)

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

vtkmodules.numpy_interface.internal_algorithms.log(narray)

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

vtkmodules.numpy_interface.internal_algorithms.log10(narray)

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

vtkmodules.numpy_interface.internal_algorithms.max(narray, axis=None)

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

vtkmodules.numpy_interface.internal_algorithms.max_angle(dataset)

Returns the maximum angle of each cell in a dataset.

vtkmodules.numpy_interface.internal_algorithms.mag(a)

Returns the magnigude of an array of scalars/vectors.

vtkmodules.numpy_interface.internal_algorithms.mean(narray, axis=None)

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

vtkmodules.numpy_interface.internal_algorithms.min(narray, axis=None)

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

vtkmodules.numpy_interface.internal_algorithms.min_angle(dataset)

Returns the minimum angle of each cell in a dataset.

vtkmodules.numpy_interface.internal_algorithms.norm(a)

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

vtkmodules.numpy_interface.internal_algorithms.shear(dataset)

Returns the shear of each cell in a dataset.

vtkmodules.numpy_interface.internal_algorithms.skew(dataset)

Returns the skew of each cell in a dataset.

vtkmodules.numpy_interface.internal_algorithms.strain(narray, dataset=None)

Returns the strain of an array of 3D vectors.

vtkmodules.numpy_interface.internal_algorithms.sum(narray, axis=None)

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

vtkmodules.numpy_interface.internal_algorithms.surface_normal(dataset)

Returns the surface normal of each cell in a dataset.

vtkmodules.numpy_interface.internal_algorithms.trace(narray)

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

vtkmodules.numpy_interface.internal_algorithms.var(narray, axis=None)

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

vtkmodules.numpy_interface.internal_algorithms.volume(dataset)

Returns the volume of each cell in a dataset.

vtkmodules.numpy_interface.internal_algorithms.vorticity(narray, dataset=None)

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

vtkmodules.numpy_interface.internal_algorithms.vertex_normal(dataset)

Returns the vertex normal of each point in a dataset.

vtkmodules.numpy_interface.internal_algorithms.make_vector(ax, ay, az=None)