Signal processing for field and experimental data for earthquake engineering
Project description
.. image:: https://travis-ci.org/eng-tools/eqsig.svg?branch=master
:target: https://travis-ci.org/eng-tools/eqsig
:alt: Testing Status
.. image:: https://img.shields.io/pypi/v/eqsig.svg
:target: https://pypi.python.org/pypi/eqsig
:alt: PyPi version
.. image:: https://coveralls.io/repos/github/eng-tools/eqsig/badge.svg
:target: https://coveralls.io/github/eng-tools/eqsig
.. image:: https://img.shields.io/badge/license-MIT-blue.svg
:target: https://github.com/eng-tools/eqsig/blob/master/LICENSE
:alt: License
*****
eqsig
*****
A Python package for seismic signal processing.
How to Use
==========
Examples
--------
Generate response spectra
.. code-block:: python
import numpy as np
import matplotlib.pyplot as plt
import eqsig.single
bf, sub_fig = plt.subplots()
a = np.loadtxt("<path-to-acceleration-time-series>")
dt = 0.005 # time step of acceleration time series
periods = np.linspace(0.2, 5, 100) # compute the response for 100 periods between T=0.2s and 5.0s
record = eqsig.AccSignal(a * 9.8, dt)
record.generate_response_spectrum(response_times=periods)
times = record.response_times
sub_fig.plot(times, record.s_a, label="eqsig")
plt.show()
Useful material
===============
*
Contributing
============
How do I get set up?
--------------------
1. Run ``pip install -r requirements.txt``
Testing
-------
Tests are run with pytest
* Locally run: ``pytest`` on the command line.
* Tests are run on every push using travis, see the ``.travis.yml`` file
Deployment
----------
To deploy the package to pypi.com you need to:
1. Push to the *pypi* branch. This executes the tests on circleci.com
2. Create a git tag and push to github, run: ``trigger_deploy.py`` or manually:
.. code:: bash
git tag 0.5.2 -m "version 0.5.2"
git push --tags origin pypi
Documentation
-------------
Built via Sphinx following: https://codeandchaos.wordpress.com/2012/07/30/sphinx-autodoc-tutorial-for-dummies/
:target: https://travis-ci.org/eng-tools/eqsig
:alt: Testing Status
.. image:: https://img.shields.io/pypi/v/eqsig.svg
:target: https://pypi.python.org/pypi/eqsig
:alt: PyPi version
.. image:: https://coveralls.io/repos/github/eng-tools/eqsig/badge.svg
:target: https://coveralls.io/github/eng-tools/eqsig
.. image:: https://img.shields.io/badge/license-MIT-blue.svg
:target: https://github.com/eng-tools/eqsig/blob/master/LICENSE
:alt: License
*****
eqsig
*****
A Python package for seismic signal processing.
How to Use
==========
Examples
--------
Generate response spectra
.. code-block:: python
import numpy as np
import matplotlib.pyplot as plt
import eqsig.single
bf, sub_fig = plt.subplots()
a = np.loadtxt("<path-to-acceleration-time-series>")
dt = 0.005 # time step of acceleration time series
periods = np.linspace(0.2, 5, 100) # compute the response for 100 periods between T=0.2s and 5.0s
record = eqsig.AccSignal(a * 9.8, dt)
record.generate_response_spectrum(response_times=periods)
times = record.response_times
sub_fig.plot(times, record.s_a, label="eqsig")
plt.show()
Useful material
===============
*
Contributing
============
How do I get set up?
--------------------
1. Run ``pip install -r requirements.txt``
Testing
-------
Tests are run with pytest
* Locally run: ``pytest`` on the command line.
* Tests are run on every push using travis, see the ``.travis.yml`` file
Deployment
----------
To deploy the package to pypi.com you need to:
1. Push to the *pypi* branch. This executes the tests on circleci.com
2. Create a git tag and push to github, run: ``trigger_deploy.py`` or manually:
.. code:: bash
git tag 0.5.2 -m "version 0.5.2"
git push --tags origin pypi
Documentation
-------------
Built via Sphinx following: https://codeandchaos.wordpress.com/2012/07/30/sphinx-autodoc-tutorial-for-dummies/
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