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        "author": "MetOcean Solutions",
        "author_email": "r.guedes@metocean.co.nz",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering",
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        "description": "wavespectra\n===========\nPython library for ocean wave spectra.\n\nMain contents:\n--------------\n- SpecArray_: extends xarray's `DataArray`_ with methods to manipulate wave spectra and calculate spectral statistics.\n- SpecDataset_: wrapper around `SpecArray`_ with methods for saving spectra in different formats.\n\nDocumentation:\n--------------\nThe documentation is hosted on ReadTheDocs at https://wavespectra.readthedocs.io/en/docs/.\n\nInstall:\n--------\nWhere to get it\n~~~~~~~~~~~~~~~\nThe source code is currently hosted on GitHub at: https://github.com/metocean/wavespectra\n\nBinary installers for the latest released version are available at the `Python package index`_.\n\nInstall from pypi\n~~~~~~~~~~~~~~~~~\n.. code:: bash\n\n   # Default install, miss some dependencies and functionality\n   pip install wavespectra\n\n   # Complete install\n   pip install wavespectra[extra]\n\nInstall from sources\n~~~~~~~~~~~~~~~~~~~~\nInstall requirements. Navigate to the base root of wavespectra_ and execute:\n\n.. code:: bash\n\n   # Default install, miss some dependencies and functionality\n   pip install -r requirements/default.txt\n\n   # Also, for complete install\n   pip install -r requirements/extra.txt\n\n   # Also, for testing requirements\n   pip install -r requirements/test.txt\n\nThen install wavespectra:\n\n.. code:: bash\n\n   python setup.py install\n\n   # Run pytest integration\n   python setup.py test\n\nAlternatively, to install in `development mode`_:\n\n.. code:: bash\n\n   pip install -e .\n\nCode structure:\n---------------\nThe two main classes SpecArray_ and SpecDataset_ are defined as `xarray accessors`_. The accessors are registered on xarray's DataArray_ and Dataset_ respectively as a new namespace called `spec`.\n\nTo use methods in the accessor classes simply import the classes into your code and they will be available to your xarray.Dataset or xarray.DataArray instances through the `spec` attribute, e.g.\n\n.. code:: python\n\n   import datetime\n   import numpy as np\n   import xarray as xr\n\n   from wavespectra.specarray import SpecArray\n   from wavespectra.specdataset import SpecDataset\n\n   coords = {'time': [datetime.datetime(2017,01,n+1) for n in range(2)],\n             'freq': [0.05,0.1],\n             'dir': np.arange(0,360,120)}\n   efth = xr.DataArray(data=np.random.rand(2,2,3),\n                       coords=coords,\n                       dims=('time','freq', 'dir'),\n                       name='efth')\n\n   In [1]: efth\n   Out[1]:\n   <xarray.DataArray (time: 2, freq: 2, dir: 3)>\n   array([[[ 0.100607,  0.328229,  0.332708],\n           [ 0.532   ,  0.665938,  0.177731]],\n\n          [[ 0.469371,  0.002963,  0.627179],\n           [ 0.004523,  0.682717,  0.09766 ]]])\n   Coordinates:\n     * freq     (freq) float64 0.05 0.1\n     * dir      (dir) int64 0 120 240\n     * time     (time) datetime64[ns] 2017-01-01 2017-01-02\n\n   In [2]: efth.spec\n   Out[2]:\n   <SpecArray (time: 2, freq: 2, dir: 3)>\n   array([[[ 0.100607,  0.328229,  0.332708],\n           [ 0.532   ,  0.665938,  0.177731]],\n\n          [[ 0.469371,  0.002963,  0.627179],\n           [ 0.004523,  0.682717,  0.09766 ]]])\n   Coordinates:\n     * freq     (freq) float64 0.05 0.1\n     * dir      (dir) int64 0 120 240\n     * time     (time) datetime64[ns] 2017-01-01 2017-01-02\n\n   In [3]: efth.spec.hs()\n   Out[3]:\n   <xarray.DataArray 'hs' (time: 2)>\n   array([ 10.128485,   9.510618])\n   Coordinates:\n     * time     (time) datetime64[ns] 2017-01-01 2017-01-02\n   Attributes:\n       standard_name: sea_surface_wave_significant_height\n       units: m\n\nSpecDataset provides a wrapper around the methods in SpecArray. For instance, these produce same result:\n\n.. code:: python\n\n   In [4]: dset = efth.to_dataset(name='efth')\n\n   In [5]: tm01 = dset.spec.tm01()\n\n   In [6]: tm01.identical(dset.efth.spec.tm01())\n   Out[6]: True\n\nData requirements:\n------------------\nSpecArray_ methods require DataArray_ to have the following attributes:\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n- wave frequency coordinate in :math:`Hz` named as `freq` (required).\n- wave direction coordinate in :math:`degree` (coming from) named as `dir` (optional for 1D, required for 2D spectra).\n- wave energy density data in :math:`m2/Hz/degree` (2D) or :math:`m2/Hz` (1D) named as `efth`\n\nSpecDataset_ methods require xarray's Dataset_ to have the following attributes:\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n- spectra DataArray named as `efth`, complying with the above specifications\n\nExamples:\n---------\n\nDefine and plot spectra history from example SWAN_ spectra file:\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n   from wavespectra import read_swan\n\n   dset = read_swan('/source/wavespectra/tests/manus.spec')\n   spec_hist = dset.isel(lat=0, lon=0).sel(freq=slice(0.05,0.2)).spec.oned().T\n   spec_hist.plot.contourf(levels=10)\n\n.. _SpecArray: https://github.com/metocean/wavespectra/blob/master/wavespectra/specarray.py\n.. _SpecDataset: https://github.com/metocean/wavespectra/blob/master/wavespectra/specdataset.py\n.. _DataArray: http://xarray.pydata.org/en/stable/generated/xarray.DataArray.html\n.. _Dataset: http://xarray.pydata.org/en/stable/generated/xarray.Dataset.html\n.. _readspec: https://github.com/metocean/wavespectra/blob/master/wavespectra/readspec.py\n.. _xarray accessors: http://xarray.pydata.org/en/stable/internals.html?highlight=accessor\n.. _SWAN: http://swanmodel.sourceforge.net/online_doc/swanuse/node50.html\n.. _Python package index: https://pypi.python.org/pypi/wavespectra\n.. _wavespectra: https://github.com/metocean/wavespectra\n.. _development mode: https://pip.pypa.io/en/latest/reference/pip_install/#editable-installs",
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