All Projects → agile-geoscience → Striplog

agile-geoscience / Striplog

Licence: apache-2.0
Lithology and stratigraphic logs for wells or outcrop.

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Striplog

Msnoise
A Python Package for Monitoring Seismic Velocity Changes using Ambient Seismic Noise | http://www.msnoise.org
Stars: ✭ 94 (-29.32%)
Mutual labels:  data-mining
Bella
Bella is a pure python post-exploitation data mining tool & remote administration tool for macOS. 🍎💻
Stars: ✭ 112 (-15.79%)
Mutual labels:  data-mining
Raven
RAVEN is a flexible and multi-purpose probabilistic risk analysis, uncertainty quantification, parameter optimization and data knowledge-discovering framework.
Stars: ✭ 122 (-8.27%)
Mutual labels:  data-mining
Graph sampling
Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
Stars: ✭ 99 (-25.56%)
Mutual labels:  data-mining
2017 Jdd Global Data Explorer Competition
2017京东金融全球数据探索者大赛(3rd place)
Stars: ✭ 104 (-21.8%)
Mutual labels:  data-mining
Cogcomp Nlpy
CogComp's light-weight Python NLP annotators
Stars: ✭ 115 (-13.53%)
Mutual labels:  data-mining
Vvedenie Mashinnoe Obuchenie
📝 Подборка ресурсов по машинному обучению
Stars: ✭ 1,282 (+863.91%)
Mutual labels:  data-mining
Wekadeeplearning4j
Weka package for the Deeplearning4j java library
Stars: ✭ 127 (-4.51%)
Mutual labels:  data-mining
Webplotdigitizer
HTML5 based online tool to extract numerical data from plot images.
Stars: ✭ 1,605 (+1106.77%)
Mutual labels:  data-mining
Openhistorian
The Open Source Time-Series Data Historian
Stars: ✭ 120 (-9.77%)
Mutual labels:  data-mining
Vizuka
Explore high-dimensional datasets and how your algo handles specific regions.
Stars: ✭ 100 (-24.81%)
Mutual labels:  data-mining
Gspan
Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.
Stars: ✭ 103 (-22.56%)
Mutual labels:  data-mining
Ayakashi
⚡️ Ayakashi.io - The next generation web scraping framework
Stars: ✭ 117 (-12.03%)
Mutual labels:  data-mining
Papers Literature Ml Dl Rl Ai
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Stars: ✭ 1,341 (+908.27%)
Mutual labels:  data-mining
Rightmove webscraper.py
Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object
Stars: ✭ 125 (-6.02%)
Mutual labels:  data-mining
Daggy
Daggy - Data Aggregation Utility. Open source, free, cross-platform, server-less, useful utility for remote or local data aggregation and streaming
Stars: ✭ 91 (-31.58%)
Mutual labels:  data-mining
Lab Workshops
Materials for workshops on text mining, machine learning, and data visualization
Stars: ✭ 112 (-15.79%)
Mutual labels:  data-mining
Tipdm
TipDM建模平台,开源的数据挖掘工具。
Stars: ✭ 130 (-2.26%)
Mutual labels:  data-mining
Emotion Recognition From Speech
A machine learning application for emotion recognition from speech
Stars: ✭ 127 (-4.51%)
Mutual labels:  data-mining
Kddcup 2020
6th Solution for 2020-KDDCUP Debiasing Challenge
Stars: ✭ 118 (-11.28%)
Mutual labels:  data-mining

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://readthedocs.org/projects/striplog/badge/?version=latest :target: https://striplog.readthedocs.io/en/latest/?badge=latest :alt: Documentation 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://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>_

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].