Python Spectral Proper Orthogonal Decomposition
Project description
PySPOD is a Python package that implements the Spectral Proper Orthogonal Decomposition (SPOD). SPOD is used to extract perfectly coherent spatio-temporal patterns in complex datasets. Original work on this technique dates back to (Lumley 1970), with recent development brought forward by (Towne et al. 2017), (Schmidt et al. 2018), (Schmidt et al. 2019).
PySPOD comes with a set of tutorials spanning weather and climate, seismic and fluidmechanics applicaitons, and it can be used for both canonical problems as well as large datasets.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file pyspod-0.1.tar.gz.
File metadata
- Download URL: pyspod-0.1.tar.gz
- Upload date:
- Size: 24.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 589004a1283bb50af58212c8b92183a75e69856868f38623171b0f869a271d4a |
|
| MD5 | 9b99d178c5f08c79d7c655f6f6419ad8 |
|
| BLAKE2b-256 | fa71f3a488b4c04b8a82e8616188507853369954f45130acee5a7b768833e00f |
File details
Details for the file pyspod-0.1-py3-none-any.whl.
File metadata
- Download URL: pyspod-0.1-py3-none-any.whl
- Upload date:
- Size: 25.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0678a136353d30f7d75ca6c0c230e3d6e8675d638fa1b9416aa466202ee8883e |
|
| MD5 | a6f10efcfd19a9f6bd062625ef6da843 |
|
| BLAKE2b-256 | 9bb1b908fbb9080c3e4c98029df8765fb4ea8854b71dfc7ba37311a5f3465aca |
