py-lpsd

Python implementation of the pylpsd algorithm for computing power spectral density with logarithmically spaced points.

Installation

This package can be installed via pip:

pip install pylpsd

In case you want to edit this, clone this repository and install it in editable mode:

git clone https://github.com/bleykauf/py-lpsd
cd py-lpsd
pip install -e .

See the Jupyter notebook in the examples folder and the docstring.

Matlab: py-lpsd is based on this implementation.

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for pylpsd 0.1.4
File	Size	Uploaded
pylpsd-0.1.4.tar.gz	22.8 kB	Dec 17, 2021	Details

Table of built distributions (wheels) for pylpsd 0.1.4
File	Interpreter	ABI	Platform	Reset
pylpsd-0.1.4-py3-none-any.whl 6.1 kB Dec 17, 2021	Python 3	none	any	Details

Total release size: 28.8 kB

Download URL	pylpsd-0.1.4.tar.gz
Size	22.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`7af3cbf6f17be52f004e4170cd08e1e292c8fda5c65d6c28ca909bdb89d700df`
BLAKE2b-256 checksum How to use checksums	`6044f41ab2d62ce5635a6470b0ecfaa5536f1114fc4e61df9e62a25d8bd1f98f`
Upload date	Dec 17, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.7.1 importlib_metadata/4.9.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1`

Download URL	pylpsd-0.1.4-py3-none-any.whl
Size	6.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`b208f93fd4fa4af870421decff3417321aa603ec94982d646df10c0e974d8b24`
BLAKE2b-256 checksum How to use checksums	`48fb6961e9f8026f3b832ea5ef95f24efda99d76af657494dbd0a5c0f9f42995`
Upload date	Dec 17, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.7.1 importlib_metadata/4.9.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1`