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)
| File | Size | Uploaded | |
|---|---|---|---|
| cloud2cloud-0.2.2.tar.gz | 5.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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 |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
db01fb0834c7fd5ec993ae370d28c21ea136fbe865fc65b8dd064d5dec98489e
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.0
|
Release files / cloud2cloud-0.2.2-py3-none-any.whl
| Download URL | cloud2cloud-0.2.2-py3-none-any.whl |
|---|---|
| Size | 5.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b2ea365fc2161183f5d6b4247f6e536f38eb526eb60f9ca0911c9728262b068d
|
|
BLAKE2b-256 checksum How to use checksums |
ded4a573bd005e7a0c952da4c13b619d6cbac85568f2af4bfa064ca8e7490848
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.0
|