/DASPy

DASPy: A Python Toolbox for DAS (Distributed Acoustic Sensing) data processing.

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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, a Chinese version of DASPy tutorial and the 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

If you installed DASPy this way, you can upgrade DASPy with the following command:

pip install --upgrade 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()

Contributing

Please see details on how to contribute to the project here and here.

Reference