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, a Chinese version of DASPy tutorial and a preprint of DASPy paper is available. If you have any questions, please contact me via hmz2018@mail.ustc.edu.cn.

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 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

2. Add DASPy into your Python path.

Getting started

from daspy import read
sec = read()  # load example waveform
sec.bandpass(1, 15)
sec.plot()

DASPy Coding Style Guide

see here