DASPy-toolbox 1.1.0

DASPy is an open-source project dedicated to provide a python package for DAS (Distributed Acoustic Sensing) data processing, which comprises classic seismic data processing techniques and Specialized algorithms for DAS applications.

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## DASPy

DASPy is an open-source project dedicated to provide a python package for DAS (Distributed Acoustic Sensing) data processing.

The goal of the DASPy project is to lower the bar of DAS data processing. DASPy includes: * Classic seismic data processing techniques, including preprocessing, filter, spectrum analysis, and visualization * Specialized algorithms for DAS applications, including denoising, waveform decomposition, channel attribute analysis, and strain-velocity conversion.

DASPy is licensed under the MIT License. [An English version of DASPy tutorial](https://daspy-tutorial.readthedocs.io/en/latest/), [a Chinese version of DASPy tutorial](https://daspy-tutorial-cn.readthedocs.io/zh-cn/latest/) and [the DASPy paper](document/srl-2024124.1.pdf) is available. If you have any questions, please contact me via <[e-mail]>.

## Installation DASPy is currently running on Linux, Windows and Mac OS. DASPy runs on Python 3.9 and up. We recommend you use the latest version of python 3 if possible.

### Pip (recommanded) ` pip install DASPy-toolbox `

Install the latest version from GitHub:

` pip install git+https://github.com/HMZ-03/DASPy.git `

### Conda ` conda install -c hmz-03 daspy `

If an error is reported, please try updating conda:

` conda update -n base -c conda-forge conda `

### Manual installation 1. Install dependent packages: numpy, scipy >=1.13, matplotlib, geographiclib, pyproj, h5py, segyio, nptdms, tqdm

2. Add DASPy into your Python path.

## Getting started ` from daspy import read sec = read() # load example waveform sec.bandpass(1, 15) sec.plot() ` <img src=”./website/waveform.png” height=”500” />

### Contributing

Please see details on how to contribute to the project [here](CONTRIBUTING.md) and [here](CodingStyleGuide.md).

### Reference

• Minzhe Hu and Zefeng Li (2024), [DASPy: A Python Toolbox for DAS Seismology](https://pubs.geoscienceworld.org/ssa/srl/article/95/5/3055/645865/DASPy-A-Python-Toolbox-for-DAS-Seismology), Seismological Research Letters, 95(5), 3055–3066, doi: https://doi.org/10.1785/0220240124.