{
    "info": {
        "author": "Ondrej Lexa",
        "author_email": "lexa.ondrej@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3"
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        "description": "# APSG - python package for structural geologists\n\n[![GitHub version](https://badge.fury.io/gh/ondrolexa%2Fapsg.svg)](https://badge.fury.io/gh/ondrolexa%2Fapsg)\n[![Build Status](https://travis-ci.org/ondrolexa/apsg.svg?branch=master)](https://travis-ci.org/ondrolexa/apsg)\n[![Documentation Status](https://readthedocs.org/projects/apsg/badge/?version=stable)](https://apsg.readthedocs.io/en/stable/?badge=stable)\n[![Anaconda-Server Badge](https://anaconda.org/ondrolexa/apsg/badges/version.svg)](https://anaconda.org/ondrolexa/apsg)\n[![DOI](https://zenodo.org/badge/24879346.svg)](https://zenodo.org/badge/latestdoi/24879346)\n\nAPSG defines several new python classes to easily manage, analyze and\nvisualize orientational structural geology data.\n\n## Installation\n\n### Using Conda\n\nFor Anaconda/Miniconda distributions you can install directly from my personal channel\n\n\tconda install -c ondrolexa apsg\n\n### Using pip\n\nYou can install APSG from PyPI\n\n\tpip install apsg\n\nAPSG requires dependencies which need to be installed (see [Installing Python Scientific Packages](https://packaging.python.org/science)).\n\n### Master version\n\nTo install most recent master version use\n\n    pip install https://github.com/ondrolexa/apsg/archive/master.zip\n\nTo upgrade to latest development version use\n\n    pip install --upgrade --upgrade-strategy only-if-needed \\\n      https://github.com/ondrolexa/apsg/archive/master.zip\n\n## Getting started\n\nYou can see APSG in action in accompanied Jupyter notebook [http://nbviewer.jupyter.org/github/ondrolexa/apsg/blob/master/examples/apsg_tutorial.ipynb](http://nbviewer.jupyter.org/github/ondrolexa/apsg/blob/master/examples/apsg_tutorial.ipynb)\n\nAnd for fun check how simply you can animate stereonets\n[http://nbviewer.jupyter.org/github/ondrolexa/apsg/blob/master/examples/animation_example.ipynb](http://nbviewer.jupyter.org/github/ondrolexa/apsg/blob/master/examples/animation_example.ipynb)\n\n## Documentation\n\nExplore the full features of APSG. You can find detailed documentation [here](https://apsg.readthedocs.org).\n\n## Contributing\n\nMost discussion happens on [Github](https://github.com/ondrolexa/apsg). Feel free to open [an issue](https://github.com/ondrolexa/apsg/issues/new) or comment on any open issue or pull request. Check ``CONTRIBUTING.md`` for more details.\n\n## Donate\n\nAPSG is an open-source project, available for you for free. It took a lot of time and resources to build this software. If you find this software useful and want to support its future development please consider donating me.\n\n[![Donate via PayPal](https://www.paypalobjects.com/en_US/i/btn/btn_donateCC_LG.gif)](https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=QTYZWVUNDUAH8&item_name=APSG+development+donation&currency_code=EUR&source=url)\n\n## License\n\nAPSG is free software: you can redistribute it and/or modify it under the terms of the MIT License. A copy of this license is provided in ``LICENSE`` file.\n\n\n\n# Changes\n\n## Master version\n\n* Stereogrid always use Euclidean norms as weights\n* DefGrad properties e1, e2, e3 (natural principal strains) added\n* DefGrad properties eoct, goct (octahedral strains) added\n* DefrGrad from_ratios class method added\n* DefGrad properties k, d, K, D (strain symmetries and intesities) added\n* New class Ellipsoid added to work with ellipsoids\n* FabricPLot renamed to VollmerPlot for consistency\n* RamsayPlot, FlinnPlot and HsuPlot implemented\n* All fabric plots have new path method accepting list of tensors\n\n## 0.6.0 (07 Nov 2018)\n\n* Stress always gives eigenvalues sorted\n* Stress I1, I2, I3 properties for invariants implemented\n* Stress mean_stress property implemented\n* Stress hydrostatic and deviatoric properties implemented\n* precision added to settings to control numerical comparisms\n* figsize added to settings to control figure size across APSG\n* Animation examples fixed\n* rand class method implemented for Fol, Lin, Vec3 and Pair to\n  generate random instance\n* Group to_csv and from_csv improved\n* SDB tags method works properly for multiple tags\n* SDB can modify database metadata\n* QGIS 3 plugin ReadSDB compatibility\n\n### 0.5.4 (19 Oct 2018)\n\n* StereoNet has cbpad keyword for colorbar padding\n* FabricPlot bug introduced in 0.5.2 fixed.\n\n### 0.5.3 (10 Oct 2018)\n\n* Bugfix release\n\n### 0.5.2 (10 Oct 2018)\n\n* Fischer distribution sampling added\n* transform method has norm kwarg to normalize tranformed vectors\n* axisangle property to calculate axis and angle from rotation matrix\n* StereoNet arc method added\n* Vec3 and Group upper and flip properties implemented\n* DefGrad, VelGrad and Stress rotate method accepts also rotation matrix\n* velgrad method added to DefGrad to calculate matrix logarithm\n* StereoGrid has new methods max, min, max_at, min_at\n\n### 0.5.1 (05 Dec 2017)\n\n* Kent distribution sampling added\n* Automatic kernel density estimate for contouring\n* UserWarnings fix\n\n## 0.5.0 (19 Nov 2017)\n\n* bux fix minor release\n\n### 0.4.4 (25 Mar 2017)\n\n* Group method centered improved\n* Group method halfspace added to reorient all vectors towards resultant\n  halfspace\n\n### 0.4.3 (25 Mar 2017)\n\n* Stress tensor with few basic methods implemented\n* StereoGrid keyword argument 'weighted' to control weighting\n* StereoNet kwargs are passed to underlying methods for immediate plots\n* StereoNet tensor method implemented (draw eigenlins or fols based on\n  fol_plot settings)\n* Group totvar property and dot and proj methods implemented\n* Fol and Lin dot method returns absolute value of dot product\n* Vec3 H method implemented\n* StereoNet.contourf method draw contour lines as well by default. Option\n  clines controls it.\n* centered bug fixed\n* StereoNet allows simple animations. Add `animate=True` kwarg to plotting\n  method and finally call StereoNet animate method.\n\n### 0.4.1-2 (04 Mar 2017)\n\n* bugfix\n\n## 0.4.0 (04 Mar 2017)\n\n* Density class renamed to StereoGrid\n* Fault sense under rotation fixed\n* FaultSet example provided\n* Angelier-Mechler dihedra method implemented for FaultSet\n* StereoNet accepts StereoGrid and Ortensor as quick plot arguments\n* StereoNet instance has axtitle method to put text below stereonet\n\n### 0.3.7 (05 Jan 2017)\n\n* conda build for all platforms\n* numpy, matplotlib and other helpres imported by default\n* ortensor is normed by default\n* ortensor MADp, MADo, MAD and kind properties added\n\n### 0.3.6 (03 Jan 2017)\n\n* shell script iapsg opens interactive console\n\n### 0.3.5 (12 Nov 2016)\n\n* Simple settings interface implemented in in apsg.core.seetings dictionary.\n  To change settings use:\n  ```\n  from apsg.core import settings\n  setting['name']=value\n  ```\n* `notation` setting with values `dd` or `rhr` control how azimuth argument of\n  Fol is represented.\n* `vec2dd` setting with values `True` or `False` control how `Vec3` is\n  represented.\n* Vec3 could be instantiated by one arument (vector like), 2 arguments\n  (azimuth, inclination) or 3 arguments (azimuth, inclination, magnitude).\n* Group and FaultSet can return array or list of user-defined attributes of\n  all elements\n\n### 0.3.4 (20 Jun 2016)\n\n* RTD fix\n\n### 0.3.3 (04 Jun 2016)\n\n* Added E1,E2,E3 properties and polar decomposition method to DefGrad object\n* StereoNet has vector method to mimics lower and upper hemisphere plotting\n  of Lin and Vec3 objects as used in paleomagnetic plots\n* StereoNet could be initialized with subplots\n* rake method of Fol added to return vector defined by rake\n* Density could be initialized without data for user-defined calculations\n  New method apply_func could be used to calculate density\n* Contour(f) methods accept Density object as argument\n* Added Group class methods to generate Spherical Fibonacci and Golden Section\n  based uniform distributions of Vec3, Lin and Fol\n\n### 0.3.2 (22 Feb 2016)\n\n* FabricPlot - triangular fabric plot added\n* .asvec3 property has .V alias\n* Resultant of Fol and Lin is calculated as vectorial in centered position\n* dv property of Fol added to return dip slip vector\n\n### 0.3.1 (20 Nov 2015)\n\n* SDB class improved. Support basic filtering including tags\n* StereoNet has close method to close figure and new method\n  to re-initialize figure when closed in interactive mode\n* iapsg shell script added to invoke apsg ipython shell\n\n## 0.3.0 (09 Nov 2015)\n\n* Group fancy indexing implemented. Group could be indexed by sequences\n  of indexes like list, tuple or array as well as sliced.\n* Cluster class with hierarchical clustering implemented\n* Group to_file and from_file methods implemented to store data in file\n* Group copy method for shallow copy implemented\n* StereoNet now accept Vec3 and Fault object as well for instant plotting.\n* Ortensor updated with new properties E1,E2,E3 and Vollmer(1989) indexes\n  P,G,R and C. Bug in Woodcocks's shape and strength values fixed.\n* uniform_lin and uniform_fol improved.\n* asvec3 method implemented for Fol and Lin\n* fol_plot property of StereoNet allows choose poles or great circles for\n  immediate plotting\n* bootstrap method of Group provide generator of random resampling with\n  replacements.\n* Group examples method provide few well-known datasets.\n* Matplotlib deprecation warnings are ignored by default\n\n### 0.2.3 (21 Oct 2015)\n\n* New Docstrings format\n* StereoNet.getfols method bug fixed.\n* Shell scripts to run interactive session improved.\n\n### 0.2.2 (17 Apr 2015)\n\n* FaultSet class added. 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