allan_variance
Simple Python package to compute Allan variance and estimate noise parameters from it. It also provides a power-law spectrum noise generator for simulation purposes. The application in mind was analysis of random noise in inertial sensors.
Installation
Installing from pypi
pip install allan-variance
Installing from source
To perform a regular install, execute in the cloned repository directory:
pip install .
To perform an editable (inplace) install:
pip install -e .
Dependencies
Runtime dependencies include (versions in parentheses were used for the latest development):
- numpy (1.25.2)
- scipy (1.11.3)
- pandas (2.1.1)
Examples
An example included in the repository demonstrates usage.
1 maintainer
Metadata
1 maintainer
Release files for allan-variance 1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| allan-variance-1.0.tar.gz | 6.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| allan_variance-1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.4 kB
Release files / allan-variance-1.0.tar.gz
| Download URL | allan-variance-1.0.tar.gz |
|---|---|
| Size | 6.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a180665eaf8220bf7277a9f442ede6b9338f5e346f544721ea04473a2d268253
|
|
BLAKE2b-256 checksum How to use checksums |
e984ee39e837099dcd57e71296396bcc3a6c1fa02f0777a7ca118f73ac0d10fc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.13
|
Release files / allan_variance-1.0-py3-none-any.whl
| Download URL | allan_variance-1.0-py3-none-any.whl |
|---|---|
| Size | 8.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
32ca617f976c76f31b036260e801551d8eb52cb58a099612967d3d2b36bf0127
|
|
BLAKE2b-256 checksum How to use checksums |
741a2e4d0627fa1d31ee6ed85d37a2d9b41a1add5622b026e969dfb8a35dab0e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.13
|
