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            "License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)",
            "Natural Language :: English",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3.8",
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            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Physics",
            "Topic :: Software Development :: Libraries",
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        "description": "![XTGeo](https://github.com/equinor/xtgeo/blob/master/docs/images/xtgeo-logo-wide.png)\n![builds](https://github.com/equinor/xtgeo/workflows/builds/badge.svg)\n![linting](https://github.com/equinor/xtgeo/workflows/linting/badge.svg)\n[![Codacy Badge](https://api.codacy.com/project/badge/Grade/c209aeed6a2a40b08ea859aeadf31cb0)](https://www.codacy.com/app/jcrivenaes/xtgeo?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=equinor/xtgeo&amp;utm_campaign=Badge_Grade)\n[![codecov](https://codecov.io/gh/equinor/xtgeo/branch/master/graph/badge.svg)](https://codecov.io/gh/equinor/xtgeo)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)\n[![PyPI version](https://badge.fury.io/py/xtgeo.svg)](https://badge.fury.io/py/xtgeo)\n[![Documentation Status](https://readthedocs.org/projects/xtgeo/badge/?version=latest)](https://xtgeo.readthedocs.io/en/latest/?badge=latest)\n![PyPI - Python Version](https://img.shields.io/pypi/pyversions/xtgeo.svg)\n![PyPI - License](https://img.shields.io/pypi/l/xtgeo.svg)\n\n## Introduction ##\n\nXTGeo is a LGPL licensed Python library with C backend to support\nmanipulation of (oil industry) subsurface reservoir modelling. Typical\nusers are geoscientist and reservoir engineers working with\nreservoir modelling, in relation with RMS. XTGeo is developed in Equinor.\n\nDetailed documentation for [XTGeo at Read *the* Docs](https://xtgeo.readthedocs.io)\n\n## Feature summary ##\n\n   * Python 3.6+ support (earlier versions with 2.7+ and 3.5+ support)\n   * Focus on high speed, using numpy and pandas with C backend\n   * Regular surfaces, i.e. 2D maps with regular sampling and rotation\n   * 3D grids (corner-point), supporting several formats such as\n     RMS and Eclipse\n   * Support of seismic cubes, using\n     [segyio](https://github.com/equinor/segyio) as backend for SEGY format\n   * Support of well data, line and polygons (still somewhat immature)\n   * Operations between the data types listed above; e.g. slice a surface\n     with a seismic cube\n   * Optional integration with ROXAR API python for several data types\n     (see note later)\n   * Linux is main development platform, but Windows and MacOS (64 bit) are supported\n     and PYPI wheels for all three platforms are provided.\n\n## Installation ##\n\nFor Linux, Windows and MacOS 64bit, PYPI installation is enabled:\n\n```\npip install xtgeo\n```\nFor detailed installation instructions (implies C compiling), see\nthe documentation.\n\n## Getting started ##\n\n```python\nfrom xtgeo.surface import RegularSurface\n\n# create an instance of a surface, read from file\nmysurf = RegularSurface(\"myfile.gri\")  # Irap binary as default\n\nprint(\"Mean is {}\".format(mysurf.values.mean()))\n\n# change date so all values less than 2000 becomes 2000\n# The values attribute gives the Numpy array\n\nmysurface.values[mysurface.values < 2000] = 2000\n\n# export the modified surface:\nmysurface.to_file(\"newfile.gri\")\n```\n\n## Note on RMS Roxar API integration ##\n\nThe following applies to the part of the XTGeo API that is\nconnected to Roxar API (RMS):\n\n> RMS is neither an open source software nor a free software and\n> any use of it needs a software license agreement in place.\n\n\nSee HISTORY.md\n\n",
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