xrsignal

Name	xrsignal JSON
Version	0.0.2 JSON
	download
home_page	None
Summary	implementing signal processing routines in scipy.signal for distributed computing using xarray as dask
upload_time	2024-07-11 23:53:27
maintainer	None
docs_url	None
author	None
requires_python	>=3.9
license	None
keywords	dask distributed computing scipy signal processing xarray
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # xrsignal

[![Documentation Status](https://readthedocs.org/projects/xrsignal/badge/?version=latest)](https://xrsignal.readthedocs.io/en/latest/?badge=latest)
![unit test](https://github.com/John-Ragland/xrsignal/workflows/unit%20test/badge.svg)
<!-- SPHINX-START -->

- The goal here is to implement scipy.signal functions using map_blocks on an as needed basis
- In general, I'm going to default to implementing function only within dask blocks.
    - so for instance filtering would only be within a chunk, and the boundaries of the chunk would have innacurate values.
    - There are likely ways to address more rigoriously that might be explored in the future.

## Installation

- for now, while xrsignal is under development, xrsignal isn't available on pypi or conda
- to install, please clone the repository and add the directory that the package is installed to your python path

### In a conda environment:
```
cd /path/to/code/dir/
git clone https://github.com/John-Ragland/xrsignal.git

conda develop /path/to/code/dir/
```

            

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