Tools for making and managing subsurface data.
Project description
striplog
========
.. image:: https://img.shields.io/travis/agile-geoscience/striplog.svg
:target: https://travis-ci.org/agile-geoscience/striplog
:alt: Travis build status
.. image:: https://img.shields.io/pypi/status/striplog.svg
:target: https://pypi.python.org/pypi/striplog/
:alt: Development status
.. image:: https://img.shields.io/pypi/v/striplog.svg
:target: https://pypi.python.org/pypi/striplog/
:alt: Latest version
.. image:: https://img.shields.io/pypi/pyversions/striplog.svg
:target: https://pypi.python.org/pypi/striplog/
:alt: Python version
.. image:: https://coveralls.io/repos/agile-geoscience/striplog/badge.svg?branch=master&service=github
:target: https://coveralls.io/github/agile-geoscience/striplog?branch=master
:alt: Coveralls
.. image:: https://img.shields.io/codacy/ad9af103cba14d33abd5b327727ff644.svg
:target: https://www.codacy.com/app/matt/striplog/dashboard
:alt: Codacy code review
.. image:: https://img.shields.io/pypi/l/striplog.svg
:target: http://www.apache.org/licenses/LICENSE-2.0
:alt: License
Lithology and stratigraphic logs for wells and outcrop.
* `A blog post about striplog <http://www.agilegeoscience.com/blog/2015/4/15/striplog>`_
* `Another one, with a video <http://www.agilegeoscience.com/blog/2015/7/10/geophysics-at-scipy-2015>`_
Docs
----
* `Read The Docs <https://striplog.readthedocs.org/>`_
Dependencies
------------
These are best installed with Anaconda, see **Install**, below.
* `NumPy <http://www.numpy.org/>`_
* `matplotlib <http://matplotlib.org/>`_
Install
-------
* ``pip install striplog``
I recommend setting up a virtual environment:
* Install `Anaconda <http://docs.continuum.io/anaconda/install>`_ if you don't have it already
* Then do this to create an environment called ``myenv`` (or whatever you like), answering Yes to the confirmation question::
conda create -n myenv python=3.5 numpy matplotlib
source activate myenv
* Then you can do::
pip install striplog
Development: setting up for testing
-----------
There are other requirements for testing, as listed in ``setup.py``. They should install with::
python setup.py test
But I had better luck doing ``conda install pytest`` first.
The tests can be run with::
python run_tests.py
Development: running the bleeding edge
-----------
To run the latest version of the code, you should be on the `develop` branch:
git clone https://github.com/agile-geoscience/striplog.git
cd striplog
git checkout develop
You probably want to continue in your virtual environment (see above).
Then I use these commands, which you can join with `;` if you like, to keep the software up to date:
/usr/bin/yes | pip uninstall striplog # Of course you don't need this one if you didn't install it yet.
python setup.py sdist
pip install dist/striplog-0.6.1.tar.gz # Or whatever was the last version to build.
SciPy 2015
----------
`Here's a presentation about Striplog. <https://docs.google.com/presentation/d/16HJsJJQylb2_8D2NS1p2cjp1yzslqUl_51BN16J5Y2k/edit?usp=sharing>`_
========
.. image:: https://img.shields.io/travis/agile-geoscience/striplog.svg
:target: https://travis-ci.org/agile-geoscience/striplog
:alt: Travis build status
.. image:: https://img.shields.io/pypi/status/striplog.svg
:target: https://pypi.python.org/pypi/striplog/
:alt: Development status
.. image:: https://img.shields.io/pypi/v/striplog.svg
:target: https://pypi.python.org/pypi/striplog/
:alt: Latest version
.. image:: https://img.shields.io/pypi/pyversions/striplog.svg
:target: https://pypi.python.org/pypi/striplog/
:alt: Python version
.. image:: https://coveralls.io/repos/agile-geoscience/striplog/badge.svg?branch=master&service=github
:target: https://coveralls.io/github/agile-geoscience/striplog?branch=master
:alt: Coveralls
.. image:: https://img.shields.io/codacy/ad9af103cba14d33abd5b327727ff644.svg
:target: https://www.codacy.com/app/matt/striplog/dashboard
:alt: Codacy code review
.. image:: https://img.shields.io/pypi/l/striplog.svg
:target: http://www.apache.org/licenses/LICENSE-2.0
:alt: License
Lithology and stratigraphic logs for wells and outcrop.
* `A blog post about striplog <http://www.agilegeoscience.com/blog/2015/4/15/striplog>`_
* `Another one, with a video <http://www.agilegeoscience.com/blog/2015/7/10/geophysics-at-scipy-2015>`_
Docs
----
* `Read The Docs <https://striplog.readthedocs.org/>`_
Dependencies
------------
These are best installed with Anaconda, see **Install**, below.
* `NumPy <http://www.numpy.org/>`_
* `matplotlib <http://matplotlib.org/>`_
Install
-------
* ``pip install striplog``
I recommend setting up a virtual environment:
* Install `Anaconda <http://docs.continuum.io/anaconda/install>`_ if you don't have it already
* Then do this to create an environment called ``myenv`` (or whatever you like), answering Yes to the confirmation question::
conda create -n myenv python=3.5 numpy matplotlib
source activate myenv
* Then you can do::
pip install striplog
Development: setting up for testing
-----------
There are other requirements for testing, as listed in ``setup.py``. They should install with::
python setup.py test
But I had better luck doing ``conda install pytest`` first.
The tests can be run with::
python run_tests.py
Development: running the bleeding edge
-----------
To run the latest version of the code, you should be on the `develop` branch:
git clone https://github.com/agile-geoscience/striplog.git
cd striplog
git checkout develop
You probably want to continue in your virtual environment (see above).
Then I use these commands, which you can join with `;` if you like, to keep the software up to date:
/usr/bin/yes | pip uninstall striplog # Of course you don't need this one if you didn't install it yet.
python setup.py sdist
pip install dist/striplog-0.6.1.tar.gz # Or whatever was the last version to build.
SciPy 2015
----------
`Here's a presentation about Striplog. <https://docs.google.com/presentation/d/16HJsJJQylb2_8D2NS1p2cjp1yzslqUl_51BN16J5Y2k/edit?usp=sharing>`_
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