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. A preprint of DASPy paper and a Chinese version of DASPy tutorial is available.

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

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

Install dependent packages: numpy, scipy >=1.13, matplotlib, geographiclib, pyproj, h5py, segyio, nptdms
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

Tengfei0311/DASPy