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    {
      "cell_type": "code",
      "execution_count": null,
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      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Cartopy: Test regional projections\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import pygeode as pyg, numpy as np, pylab as pyl\nfrom cartopy import crs as ccrs\nimport cartopy\n\nlat = pyg.gausslat(40)\nlon = pyg.regularlon(80, origin=-180)\n\nx = pyg.sin(2*np.pi * lon / 180.) * pyg.exp(-(lat - 30)**2 / (2*10**2))\ny = pyg.sin(2*np.pi * lon / 180.) * pyg.exp(-(lat + 40)**2 / (2*10**2))\n\npyl.ioff()\n\nprj_grid = ['PlateCarree', 'Mercator', 'Miller', 'TransverseMercator']\nprj_reg  = ['AlbersEqualArea', 'EquidistantConic', 'LambertConformal', \\\n            'LambertCylindrical', 'RotatedPole']\nprj_glob = ['AzimuthalEquidistant', 'Mollweide', 'Orthographic',  \\\n            'Stereographic', 'Robinson', 'Sinusoidal', \\\n            'Geostationary', 'LambertAzimuthalEqualArea', 'EckertIII']\n        \nprj = dict(central_longitude=60.)\ngridlines = dict(draw_labels = False, xlocs = range(0, 361, 30), ylocs = range(-80, 81, 20)),\nmap = dict(gridline = gridlines)\n\ni = 0\naxr = []\n\nfor p in prj_reg[:]:\n    if i == 5:\n        axg.append(axr)\n        axr = []\n        i = 0\n\n    ax = pyg.plot.CartopyAxes(projection = p)#, prj_args = prj)\n\n    pyg.vquiver(x, y, axes = ax, map = map)\n    ax.size = [4., 3.1]\n    ax.setp(title = p)\n    ax.set_extent([10, 70, -60, 20], crs = ccrs.PlateCarree())\n    axr.append(ax)\n    i += 1\n\nax = pyg.plot.grid([axr])\n\npyl.ion()\nax.render(2)"
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