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cloud2cloud

This is a simple tool to interpolate N-dimensional data between two M-dimensional meshes as fast as possible. At any point of the target mesh the data is computed from K nearest neighbours in the source mesh.

cloud2cloud interface

For structured meshes.

result = cloud2cloud(source, values, target)

source # ndarray(*shape_sce, dim_msh)
target # ndarray(*shape_tgt, dim_msh)
values # ndarray(*shape_sce, *shape_val)
result # ndarray(*shape_tgt, *shape_val)

Raw interface

The underlying method used to interpolate.

base = CloudInterpolator(source, target)
result = base.interp(values)

source # ndarray(dim_msh, points_sce) or tuple(ndarray(points_sce),...)
target # ndarray(dim_msh, points_tgt) or tuple(ndarray(points_tgt),...)
values # ndarray(points_sce, *shape_val)
result # ndarray(points_tgt, *shape_val)

Metadata

Release files for cloud2cloud 0.2.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for cloud2cloud 0.2.2
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cloud2cloud-0.2.2.tar.gz 5.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for cloud2cloud 0.2.2
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cloud2cloud-0.2.2-py3-none-any.whl Python 3 none any Details

Total release size: 10.2 kB

Release files / cloud2cloud-0.2.2.tar.gz

Download URL cloud2cloud-0.2.2.tar.gz
Size 5.2 kB
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Release files / cloud2cloud-0.2.2-py3-none-any.whl

Download URL cloud2cloud-0.2.2-py3-none-any.whl
Size 5.0 kB
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Uploaded via twine/6.1.0 CPython/3.13.0

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0.2.2 This release

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0.2.0

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0.1.1

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