DNA13_percent.ipynb

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     "output_type": "stream",
     "text": [
      "/home/mturk/conda-py3/lib/python3.6/site-packages/ipykernel_launcher.py:12: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  if sys.path[0] == '':\n"
     ]
    }
   ],
   "source": [
    "from netCDF4 import Dataset\n",
    "import numpy as np\n",
    "import yt\n",
    "\n",
    "data_filename = \"/home/mturk/Downloads/DNA13_percent.nc\"\n",
    "\n",
    "nc_dataset = Dataset(data_filename)\n",
    "latitude = nc_dataset.variables[\"latitude\"][:]\n",
    "longitude = nc_dataset.variables[\"longitude\"][:]\n",
    "depth = 6371 - nc_dataset.variables[\"depth\"][:][::-1]\n",
    "\n",
    "data = {v: nc_dataset.variables[v][::-1,::-1,:] for v in ('vp', 'vsh', 'vsv', 'vsvj')}\n",
    "\n",
    "bbox = np.array([[depth[0], depth[-1]],\n",
    "                [latitude[0], latitude[-1]],\n",
    "                [longitude[0],longitude[-1]]])\n",
    "\n",
    "ds = yt.load_uniform_grid(data, domain_dimensions = (depth.shape[0], latitude.shape[0], longitude.shape[0]),\n",
    "                          bbox = bbox, length_unit=yt.units.km,\n",
    "                          geometry = (\"internal_geographic\",(\"depth\", \"latitude\", \"longitude\")),\n",
    ")\n",
    "\n",
    "ds.outer_radius = yt.units.km * 6371"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(YTArray([5091.,   25.,  234.]) code_length,\n",
       " YTArray([6371.,   52.,  288.]) code_length)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.domain_left_edge, ds.domain_right_edge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "yt : [WARNING  ] 2018-11-13 14:11:51,997 Plot image for field ('stream', 'vsvj') has both positive and negative values. Min = -1.937000, Max = 9999.000000.\n",
      "yt : [WARNING  ] 2018-11-13 14:11:51,998 Switching to symlog colorbar scaling unless linear scaling is specified later\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-57.29557217 -57.29557201 -57.10031841] [        inf         inf 57.10031841]\n"
     ]
    }
   ],
   "source": [
    "yt.SlicePlot(ds, \"depth\", \"vsvj\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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