`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.
`matmul`	Return the product of the inputs. Inputs can be vectors/tensors.
`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.matmul(a, b)#: Return the product of the inputs. Inputs can be vectors/tensors.

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)#

vtkmodules.numpy_interface.internal_algorithms#

Module Contents#

Functions#

API#

`vtkmodules.numpy_interface.internal_algorithms`#