dPCA
Install
pip install dynamicPCA
Visit the homepage for documentation and example usecases.
How to use
from dPCA.TEP import *
from dPCA.analysis import *
TEP = GetTEP()
analysis = Analysis(TEP,10)
analysis.show_plots()
1 maintainer
Metadata
1 maintainer
Release files for dynamicPCA 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dynamicPCA-0.0.3.tar.gz | 10.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dynamicPCA-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.3 kB
Release files / dynamicPCA-0.0.3.tar.gz
| Download URL | dynamicPCA-0.0.3.tar.gz |
|---|---|
| Size | 10.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.0
|
Release files / dynamicPCA-0.0.3-py3-none-any.whl
| Download URL | dynamicPCA-0.0.3-py3-none-any.whl |
|---|---|
| Size | 10.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.0
|
