implementing signal processing routines in scipy.signal for distributed computing using xarray as dask
Project description
xrsignal
- 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/
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
xrsignal-0.0.2.tar.gz
(10.3 kB
view hashes)