Assorted utilities for uncertainty quantification and scientific computing.
⚙️ Installation
pip install uqtils
If you are using pdm in your own project, then you can use:
pdm add uqtils
# Or in editable mode from a local clone...
pdm add -e ./uqtils --dev
📍 Quickstart
import numpy as np
import uqtils as uq
ndim, nsamples = 3, 1000
mu = np.random.rand(ndim)
cov = np.eye(ndim)
samples = uq.normal_sample(mu, cov, nsamples)
fig, ax = uq.ndscatter(samples)
🏗️ Contributing
See the contribution guidelines.
Made with the copier-numpy template.
1 maintainer
Release files for uqtils 0.4.2
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| uqtils-0.4.2.tar.gz | 32.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| uqtils-0.4.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 63.1 kB
Release files / uqtils-0.4.2.tar.gz
| Download URL | uqtils-0.4.2.tar.gz |
|---|---|
| Size | 32.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Size | 30.9 kB |
| Tags | Python 3 |
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Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
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