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        "author": "Eloy Adonis Colell",
        "author_email": "gersolar.dev@gmail.com",
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            "Programming Language :: Python :: 3.4",
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            "Topic :: Scientific/Engineering :: Atmospheric Science",
            "Topic :: Scientific/Engineering :: Bio-Informatics",
            "Topic :: Scientific/Engineering :: GIS",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Scientific/Engineering :: Physics"
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        "description": "netcdf\n======\n\n[![Gitter](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/gersolar/netcdf?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)\n\n[![License](https://img.shields.io/pypi/l/netcdf.svg)](https://raw.githubusercontent.com/gersolar/netcdf/master/LICENSE) [![Downloads](https://img.shields.io/pypi/dm/netcdf.svg)](https://pypi.python.org/pypi/netcdf/) [![Build Status](https://travis-ci.org/gersolar/netcdf.svg?branch=master)](https://travis-ci.org/gersolar/netcdf) [![Coverage Status](https://coveralls.io/repos/gersolar/netcdf/badge.png)](https://coveralls.io/r/gersolar/netcdf) [![Code Health](https://landscape.io/github/gersolar/netcdf/master/landscape.png)](https://landscape.io/github/gersolar/netcdf/master) [![PyPI version](https://badge.fury.io/py/netcdf.svg)](http://badge.fury.io/py/netcdf)\n[![Stories in Ready](https://badge.waffle.io/gersolar/netcdf.png?label=ready&title=Ready)](https://waffle.io/gersolar/netcdf)\n\n\nA python library that allow to use one or multiple NetCDF files in a transparent way through polimorphic methods.\n\n\nRequirements\n------------\n\nIf you want to use this library on any GNU/Linux or OSX system you just need to execute:\n\n    $ pip install netcdf\n\nIf you want to improve this library, you should download the [github repository](https://github.com/gersolar/netcdf) and execute:\n\n    $ make deploy\n\nThis library is builded over two **C libraries** (named **libhdf5** and **libnetcdf** in *aptitude*). To provide a cross-platform installation, the [setup.py](https://github.com/gersolar/netcdf/blob/master/setup.py) is going to require the **sudo** password to automate the installation of these two libraries.\n\nOn Ubuntu Desktop there are some other libraries not installed by default (zlibc curl libssl0.9.8 libbz2-dev libxslt*-dev libxml*-dev) which may need to be installed to use these library. Use the next command to automate the installation of the additional C libraries:\n\n    $ make ubuntu deploy\n\n\nTesting\n-------\n\nTo test all the project you should use the command:\n\n    $ make test\n\nIf you want to help us or report an issue join to us through the [GitHub issue tracker](https://github.com/gersolar/netcdf/issues).\n\n\nExample\n--------\n\nIt can open one or multiple files with the same statement. You can use a **pattern**:\n\n```python\nfrom netcdf import netcdf as nc\nroot, is_new = nc.open('file_*.nc')\nprint root.files\n\ndata = nc.getvar(root, 'data')\nprint \"Matrix shape: \", data.shape\nprint \"Matrix values: \", data[:]\n\nnc.close(root)\n```\n\nOr you can open a **list of files**:\n\n```python\nfrom netcdf import netcdf as nc\nroot, is_new = nc.open(['file01.nc', 'file02.nc', 'file03.nc'])\nnc.close(root)\n```\n\nAlso, it is compatible with **numpy**:\n\n```python\nfrom netcdf import netcdf as nc\nimport numpy as np\nroot, is_new = nc.open('file_*.nc')\ndata = nc.getvar(root, 'data')\n\ndata[:] = data[:] + 3.\nprint \"Matrix values: \", data[:]\n# Bulk the data variable into the files.\nnc.sync(root)\n\n# Set to zero all the values of the matrix.\ndata[:] = np.zeros(data.shape)\nprint data[:]\n\nnc.close(root)\n```\nIt also can **join a variable distributed in multiple files** and save it in a single file:\n\n```python\nfrom netcdf import netcdf as nc\nroot, is_new = nc.open('file_*.nc')\nprint root.files\ndata = nc.getvar(root, 'data')\nprint \"Matrix shape: \", data.shape\n\njoined_root, is_new = nc.open('new_file.nc')\nprint joined_root.files\njoined_data = nc.getvar(joined_root, 'copied_data', source=data)\nprint \"Matrix shape: \", joined_data.shape\n\nnc.close(joined_root)\nnc.close(root)\n```\n\nAlso, it can use a **with** statement to reduce the code and guarantee the call to the close function to save changes:\n\n```python\nfrom netcdf import netcdf as nc\nimport numpy as np\nwith nc.loader('new_file.nc') as joined_root:\n    with nc.loader(['file01.nc', 'file02.nc', 'file03.nc']) as root:\n        data = nc.getvar(root, 'data')\n        joined_data = nc.getvar(joined_root, 'copied_data', source=data)\n        joined_data[:] = joined_data[:] ** 3 + np.cos(joined_data[:]) * 2\n```\n\nLast, it can use a tiled access to the data through:\n\n```python\nfrom netcdf import netcdf as nc\nimport numpy as np\ndims = {\n    'xc': [20,-20],\n    'yc': [10,50],\n    'time': [-30, None]\n}\n\nwith nc.loader('file0*.nc', dimensions=dims) as root:\n    data = nc.getvar(root, 'data')\n    print data.shape\n```\n\n\nAbout\n-----\n\nThis software is developed by [GERSolar](http://www.gersol.unlu.edu.ar/). You can contact us to [gersolar.dev@gmail.com](mailto:gersolar.dev@gmail.com).",
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