ARL Python Tools
Introduction
Packages such as numpy and scipy provide excellent mathematical tools for
scientists and engineers using Python. However, these packages are still young
and evolving, and understandably have some gaps, especially when it comes to
domain-specific requirements. The arlpy package aims to fill in some of the
gaps in the areas of underwater acoustics, signal processing, and communication.
Additionally, arlpy also includes some commonly needed utilities and plotting
routines based on bokeh.
General modules
The following modules are general and are likely to be of interest to researchers and developers working on signal processing, communication and underwater acoustics:
- Signal processing (
arlpy.signal) - Communications (
arlpy.comms) - Beamforming and array processing (
arlpy.bf) - Stable distributions (
arlpy.stable) - Geographical coordinates (
arlpy.geo) - Underwater acoustics (
arlpy.uwa) - Underwater acoustic propagation modeling (
arlpy.uwapm) - Plotting utilities (
arlpy.plot) - Common utilities (
arlpy.utils)
Special-purpose modules
The following modules are specific to tools available at the ARL and may not be of general interest to others:
- Digital Towed Array (
arlpy.dtla) - ROMANIS (
arlpy.romanis) - HiDAQ (
arlpy.hidaq) - UNET (
arlpy.unet)
Usage
Installation::
pip install arlpy
To import all general modules::
import arlpy
Notes
Png export of bokeh plots requires selenium, pillow and phantomjs. These are not
installed as automatic depdendencies, since they are optional and only required
for png export. These should be installed manually, if desired.
Citing
@software{arlpy,
author = {Mandar Chitre and others},
title = {{arlpy}: ARL Python Tools},
version = {1.9.1},
year = {2024},
url = {https://github.com/org-arl/arlpy/tree/v1.9.1}
}
Useful links
1 maintainer
Metadata
1 maintainer
Release files for arlpy 1.9.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| arlpy-1.9.3.tar.gz | 46.3 kB | Details |
Release files / arlpy-1.9.3.tar.gz
| Download URL | arlpy-1.9.3.tar.gz |
|---|---|
| Size | 46.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
01673a34267018af3d9ec56b96ef86582254b7593c14f32778d796a8c3d3e739
|
|
BLAKE2b-256 checksum How to use checksums |
8679147c0b8353931a03a00ab3b8b3a925542fb1dda5b8d4450baf792a800e84
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
|
