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Ball Tree Xarray Index
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{
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"cell_type": "markdown",
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"source": [
"# Ball Tree Xarray Index"
]
},
{
"cell_type": "markdown",
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"source": [
"## Implementation\n",
"\n",
"The implementation below is compatible with n-d xarray coordinates and with n-d indexers (n-d = one or more dimensions).\n",
"\n",
"Constraints:\n",
"\n",
"- Indexers must be xarray objects! (point-wise indexing)\n",
"- The coordinates used to build the index must all have the same dimension(s) (same order).\n",
"- Indexers provided in `.balltree.sel()` must all have the same dimensions too.\n",
"- Indexers must be provided in `.balltree.sel()` for every coordinate used to build the index."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
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"import numbers\n",
"from typing import Any, Callable, Iterable, Hashable, List, Mapping, Union\n",
"\n",
"import numpy as np\n",
"import xarray as xr\n",
"from xarray.core.utils import either_dict_or_kwargs\n",
"from sklearn.neighbors import BallTree"
]
},
{
"cell_type": "code",
"execution_count": 2,
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"@xr.register_dataarray_accessor('balltree')\n",
"@xr.register_dataset_accessor('balltree')\n",
"class BallTreeAccessor:\n",
" \"\"\"A xarray Dataset or DataArray extension for indexing irregular,\n",
" n-dimensional data using a ball tree.\n",
" \n",
" \"\"\"\n",
" \n",
" def __init__(self, xarray_obj: Union[xr.Dataset, xr.DataArray]):\n",
" \n",
" self._xarray_obj = xarray_obj\n",
" \n",
" self._index = None\n",
" self._index_coords = None\n",
" self._index_coords_dims = None\n",
" self._index_coords_shape = None\n",
" \n",
" self._transform = None\n",
" \n",
" def _stack(self, coords: List[Any]):\n",
" \"\"\"Stack and maybe transform coordinate labels into a format\n",
" compliant with sklearn's BallTree, i.e., a 2-d array (npoints, nfeatures).\n",
" \n",
" \"\"\"\n",
" X = np.stack([np.ravel(arr) for arr in coords]).T\n",
" \n",
" if self._transform is not None:\n",
" return self._transform(X)\n",
" else:\n",
" return X\n",
" \n",
" def set_index(\n",
" self,\n",
" coords: Iterable[str],\n",
" transform: Callable = None,\n",
" **kwargs\n",
" ):\n",
" \"\"\"Create a ball tree index from a subset of coordinates of\n",
" the DataArray / Dataset.\n",
" \n",
" Parameters\n",
" ----------\n",
" coords : iterable\n",
" Coordinate names. Each given coordinate must have\n",
" the same dimension(s), in the same order.\n",
" transform : callable, optional\n",
" Any function used to convert coordinate labels. This is useful,\n",
" e.g., for converting degrees to radians when using the haversine metric.\n",
" This transform will also be applied each time before indexing (query). \n",
" **kwargs\n",
" Arguments passed to :class:`sklearn.neighbors.BallTree`\n",
" constructor.\n",
"\n",
" \"\"\"\n",
" if transform is not None:\n",
" self._transform = transform\n",
" \n",
" self._index_coords = tuple(coords)\n",
" \n",
" coord_objs = [self._xarray_obj.coords[cn] for cn in coords]\n",
" \n",
" if len(set([c.dims for c in coord_objs])) > 1:\n",
" raise ValueError(\n",
" \"Coordinates {coords} must all have the same dimensions in the same order\"\n",
" )\n",
" \n",
" self._index_coords_dims = coord_objs[0].dims\n",
" self._index_coords_shape = coord_objs[0].shape\n",
"\n",
" X = self._stack([self._xarray_obj[c] for c in coords])\n",
" \n",
" self._index = BallTree(X, **kwargs)\n",
" \n",
" @property\n",
" def index(self) -> BallTree:\n",
" \"\"\"Returns the underlying ball tree index.\"\"\"\n",
"\n",
" return self._index\n",
" \n",
" def _query(self, indexers, tolerance):\n",
" \"\"\"Query the ball tree and maybe reject selected points\n",
" based on tolerance (distance threshold).\n",
" \n",
" \"\"\"\n",
" X = self._stack([indexers[c] for c in self._index_coords])\n",
" \n",
" if tolerance is None:\n",
" return self._index.query(X, return_distance=False)\n",
" else:\n",
" dist, indices = self._index.query(X, return_distance=True)\n",
" return indices[dist <= tolerance]\n",
" \n",
" def _get_pos_indexers(self, indices, indexers):\n",
" \"\"\"Returns positional indexers based on the query results and the\n",
" original (label-based) indexers.\n",
" \n",
" 1. Unravel the (flattened) indices returned from the query\n",
" 2. Reshape the unraveled indices according to indexers shapes\n",
" 3. Wrap the indices in xarray.Variable objects.\n",
" \n",
" \"\"\"\n",
" pos_indexers = {}\n",
" \n",
" indexer_dims = [idx.dims for idx in indexers.values()]\n",
" indexer_shapes = [idx.shape for idx in indexers.values()]\n",
" \n",
" if len(set(indexer_dims)) > 1:\n",
" raise ValueError(\"All indexers must have the same dimensions.\")\n",
"\n",
" u_indices = np.unravel_index(indices.ravel(), self._index_coords_shape)\n",
" \n",
" for dim, ind in zip(*[self._index_coords_dims, u_indices]):\n",
" pos_indexers[dim] = xr.Variable(\n",
" indexer_dims[0], ind.reshape(indexer_shapes[0])\n",
" )\n",
" \n",
" return pos_indexers \n",
" \n",
" def sel(\n",
" self,\n",
" indexers: Mapping[Hashable, Any] = None,\n",
" tolerance: numbers.Number = None,\n",
" **indexers_kwargs: Any\n",
" ) -> Union[xr.Dataset, xr.DataArray]:\n",
" \"\"\"Selection based on a ball tree index.\n",
" \n",
" The index must have been already built using\n",
" `balltree.set_index()`.\n",
" \n",
" It behaves mostly like :meth:`xarray.Dataset.sel` and\n",
" :meth:`xarray.DataArray.sel` methods, with some limitations:\n",
" \n",
" - Orthogonal indexing is not supported\n",
" - For vectorized (point-wise) indexing, you need to supply xarray\n",
" objects\n",
" - Use it for nearest neighbor lookup only (it implicitly\n",
" assumes method=\"nearest\")\n",
" \n",
" \"\"\"\n",
" if self._index is None:\n",
" raise ValueError(\n",
" \"The ball tree index has not been built yet. \"\n",
" \"Call `.balltree.set_index()` first\"\n",
" )\n",
" \n",
" indexers = either_dict_or_kwargs(indexers, indexers_kwargs, \"balltree.sel\")\n",
" indices = self._query(indexers, tolerance)\n",
" pos_indexers = self._get_pos_indexers(indices, indexers)\n",
" \n",
" result = self._xarray_obj.isel(indexers=pos_indexers)\n",
" \n",
" return result\n"
]
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"cell_type": "code",
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Example 1\n",
"\n",
"2-d coordinates (e.g., NEMO), 1-d indexers (e.g., ship track)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
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"</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-274fe2dd-04d1-4052-9d6c-a93e8dbcea71' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-274fe2dd-04d1-4052-9d6c-a93e8dbcea71' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>x</span>: 100</li><li><span>y</span>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-72154b00-be01-4b54-8060-079c72e689b0' class='xr-section-summary-in' type='checkbox' checked><label for='section-72154b00-be01-4b54-8060-079c72e689b0' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-27.42 53.04 ... -50.26 -30.17</div><input id='attrs-7ae65d1c-aaff-48d6-8547-673e40095b8f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7ae65d1c-aaff-48d6-8547-673e40095b8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49dbb150-7f9b-470b-bce6-3e2e9c0a6495' class='xr-var-data-in' type='checkbox'><label for='data-49dbb150-7f9b-470b-bce6-3e2e9c0a6495' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([[-27.41740094, 53.04387206, -66.19611833, ..., 54.11195479,\n",
" -2.82284421, 50.5195033 ],\n",
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" -6.31222398, 11.90767985],\n",
" [-53.93980766, 37.32705772, 24.85854455, ..., -21.10176246,\n",
" -50.25579446, -30.167848 ]])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>48.65 -102.5 ... -107.5 -26.44</div><input id='attrs-33ae11b3-82dd-481c-9e69-8620602ac8d4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-33ae11b3-82dd-481c-9e69-8620602ac8d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-374102b9-481f-4fde-8165-a0f4f5ba524f' class='xr-var-data-in' type='checkbox'><label for='data-374102b9-481f-4fde-8165-a0f4f5ba524f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([[ 48.65265058, -102.45806188, -73.81074271, ..., 98.89624768,\n",
" 158.7526806 , -110.75676068],\n",
" [ -26.99190238, 2.21022643, -3.74752036, ..., -104.30386425,\n",
" -27.33610984, 170.6008717 ],\n",
" [ -32.03633658, -142.24408102, -5.25669141, ..., -123.1787387 ,\n",
" 127.90298168, 13.27590148],\n",
" ...,\n",
" [-137.92494884, 121.70795838, 174.10011903, ..., 61.37275877,\n",
" -80.75257591, -144.86849081],\n",
" [ -51.83279806, -53.71800252, -112.808548 , ..., 174.83037159,\n",
" 106.5253845 , -126.40161705],\n",
" [ -10.44027937, 49.15633713, -97.48605711, ..., -19.04468202,\n",
" -107.46203256, -26.43781873]])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-b5fa2f06-ec0a-44f2-8324-609f74e220e7' class='xr-section-summary-in' type='checkbox' checked><label for='section-b5fa2f06-ec0a-44f2-8324-609f74e220e7' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>field</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>21.24 -49.41 ... -157.7 -56.61</div><input id='attrs-58e7804a-8193-490b-87a9-d14592615b22' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58e7804a-8193-490b-87a9-d14592615b22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3476ea34-cab6-41d3-a839-b87406a1b597' class='xr-var-data-in' type='checkbox'><label for='data-3476ea34-cab6-41d3-a839-b87406a1b597' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([[ 21.23524963, -49.41418982, -140.00686104, ..., 153.00820247,\n",
" 155.92983639, -60.23725737],\n",
" [ -73.97357792, 58.1329467 , -73.04114399, ..., -23.52118694,\n",
" -74.5720761 , 160.72833635],\n",
" [ -19.83974173, -156.16913556, -16.87476359, ..., -39.15957949,\n",
" 176.9299442 , -0.47514502],\n",
" ...,\n",
" [ -48.13747774, 78.20812625, 161.89237652, ..., -19.99341098,\n",
" -123.02872123, -136.88082281],\n",
" [ -70.36818826, 8.67445642, -64.83630828, ..., 171.96984643,\n",
" 100.21316052, -114.4939372 ],\n",
" [ -64.38008703, 86.48339484, -72.62751256, ..., -40.14644448,\n",
" -157.71782702, -56.60566673]])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-9e661e87-6cd5-4e54-912f-19e101bf70d7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9e661e87-6cd5-4e54-912f-19e101bf70d7' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (x: 100, y: 100)\n",
"Coordinates:\n",
" lat (x, y) float64 -27.42 53.04 -66.2 -5.11 ... -21.1 -50.26 -30.17\n",
" lon (x, y) float64 48.65 -102.5 -73.81 -96.8 ... -19.04 -107.5 -26.44\n",
"Dimensions without coordinates: x, y\n",
"Data variables:\n",
" field (x, y) float64 21.24 -49.41 -140.0 -101.9 ... -40.15 -157.7 -56.61"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"shape = (100, 100)\n",
"lat = np.random.uniform(-90, 90, size=shape)\n",
"lon = np.random.uniform(-180, 180, size=shape)\n",
"\n",
"field = lat + lon\n",
"\n",
"\n",
"ds_2d = xr.Dataset(\n",
" coords={'lat': (('x', 'y'), lat), 'lon': (('x', 'y'), lon)},\n",
" data_vars={'field': (('x', 'y'), field)},\n",
")\n",
"\n",
"ds_2d"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"ds_2d.balltree.set_index(['lat', 'lon'], transform=np.deg2rad, metric='haversine')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
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"</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e2af1adc-e389-4eca-b7b5-847cd898a00a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e2af1adc-e389-4eca-b7b5-847cd898a00a' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>points</span>: 50</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f65bae5e-083d-4f11-b6bb-13dd4fd46929' class='xr-section-summary-in' type='checkbox' checked><label for='section-f65bae5e-083d-4f11-b6bb-13dd4fd46929' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-35.53 89.19 71.91 ... -57.51 79.92</div><input id='attrs-0df42fee-926a-4151-8528-ce075643945c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0df42fee-926a-4151-8528-ce075643945c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f43982ca-68ce-4914-a359-f46f91b9fce0' class='xr-var-data-in' type='checkbox'><label for='data-f43982ca-68ce-4914-a359-f46f91b9fce0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([-3.55276362e+01, 8.91895206e+01, 7.19135223e+01, -8.01425678e+01,\n",
" 3.12686261e+01, 2.89632738e+01, 8.80414634e+01, 7.64728563e+01,\n",
" 1.94412450e-01, -7.91361141e+01, -6.72304167e+01, 2.83226434e+01,\n",
" 3.92011344e+01, -2.88034745e+01, 5.36795049e+01, 4.70296676e+01,\n",
" -8.97740435e+00, 4.78177907e+01, 1.71813016e+00, -8.92817485e+00,\n",
" 9.84989477e+00, -5.90440005e+00, -6.28519652e+01, 9.61112541e+00,\n",
" 5.42691615e-01, -8.37802833e+01, -1.72533263e+01, 2.33713372e+01,\n",
" -8.69396879e+01, 8.13819314e+00, -7.37798244e+01, 1.36804398e+01,\n",
" 7.02490845e+01, 5.06041073e+01, 1.97898336e-02, -4.34506183e+01,\n",
" 1.39051335e+01, 1.42945037e+01, 4.48121309e+01, 5.95263767e+01,\n",
" -4.59681335e+00, -5.76221405e+01, -5.94381425e+01, -5.85618726e+01,\n",
" -4.99119386e+01, 5.27116364e+01, -1.70792862e-01, 7.45709769e+00,\n",
" -5.75060307e+01, 7.99178469e+01])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-71.44 -97.92 158.2 ... 64.35 103.1</div><input id='attrs-8b119a00-b37d-4431-b32a-951d1bb36fd8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8b119a00-b37d-4431-b32a-951d1bb36fd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43807090-bb3c-46d1-9d01-74c99436cf4f' class='xr-var-data-in' type='checkbox'><label for='data-43807090-bb3c-46d1-9d01-74c99436cf4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([ -71.44214949, -97.92050577, 158.18220894, -118.09192898,\n",
" -113.34757494, -18.92276926, -50.13713867, -82.29495157,\n",
" 148.24140524, 35.69007167, -125.69899806, -114.5795376 ,\n",
" -79.67150384, -120.10574965, 160.55031461, 38.27492604,\n",
" 159.11023685, -135.5341813 , -167.22402207, 92.34756729,\n",
" 133.83830602, -178.84242298, 128.34798276, -78.6020334 ,\n",
" 155.91864634, -110.94956338, -153.12582622, -136.38361295,\n",
" 169.62711318, -81.97265282, 17.08727664, -91.4570397 ,\n",
" 30.29771503, -147.50822126, 53.20951813, 174.38141455,\n",
" 1.03203768, 167.62715875, -176.49584241, -114.6705925 ,\n",
" 30.64568568, -59.29639483, 18.05887209, -31.31065857,\n",
" 93.55678191, -31.96312232, 172.75012026, 138.52926458,\n",
" 64.35296307, 103.12251363])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-c97ff02c-e681-4a03-a049-b1084ad5bc5c' class='xr-section-summary-in' type='checkbox' checked><label for='section-c97ff02c-e681-4a03-a049-b1084ad5bc5c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>field</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-107.0 -8.731 230.1 ... 6.847 183.0</div><input id='attrs-d62bcf03-3ff3-4ba4-a7fd-db1990f42284' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d62bcf03-3ff3-4ba4-a7fd-db1990f42284' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e658e4c-c228-42bd-a0be-b9da947e9088' class='xr-var-data-in' type='checkbox'><label for='data-9e658e4c-c228-42bd-a0be-b9da947e9088' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([-106.96978573, -8.73098517, 230.09573124, -198.23449676,\n",
" -82.07894885, 10.0405045 , 37.90432473, -5.82209531,\n",
" 148.43581769, -43.44604244, -192.92941472, -86.25689418,\n",
" -40.47036947, -148.90922419, 214.22981952, 85.30459363,\n",
" 150.13283249, -87.71639062, -165.50589191, 83.41939243,\n",
" 143.68820079, -184.74682304, 65.49601754, -68.99090798,\n",
" 156.46133796, -194.72984673, -170.37915249, -113.01227574,\n",
" 82.68742531, -73.83445968, -56.69254775, -77.77659992,\n",
" 100.54679948, -96.904114 , 53.22930796, 130.93079621,\n",
" 14.93717119, 181.92166247, -131.68371154, -55.14421583,\n",
" 26.04887233, -116.91853534, -41.37927044, -89.87253112,\n",
" 43.64484329, 20.74851405, 172.5793274 , 145.98636227,\n",
" 6.84693242, 183.0403605 ])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-fb526ad5-d654-4539-8b23-a43429f8af60' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fb526ad5-d654-4539-8b23-a43429f8af60' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (points: 50)\n",
"Coordinates:\n",
" lat (points) float64 -35.53 89.19 71.91 -80.14 ... 7.457 -57.51 79.92\n",
" lon (points) float64 -71.44 -97.92 158.2 -118.1 ... 138.5 64.35 103.1\n",
"Dimensions without coordinates: points\n",
"Data variables:\n",
" field (points) float64 -107.0 -8.731 230.1 -198.2 ... 146.0 6.847 183.0"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds_indexer_1d = xr.Dataset({\n",
" 'latitude': ('points', np.random.uniform(-90, 90, size=50)),\n",
" 'longitude': ('points', np.random.uniform(-180, 180, size=50))\n",
"})\n",
"\n",
"ds_sel = ds_2d.balltree.sel(\n",
" lat=ds_indexer_1d.latitude,\n",
" lon=ds_indexer_1d.longitude\n",
")\n",
"\n",
"ds_sel"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ds_indexer_1d.plot.scatter(x='longitude', y='latitude', c='k', alpha=0.7);\n",
"ds_sel.plot.scatter(x='lon', y='lat', hue='field', alpha=0.9);"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Example 2\n",
"\n",
"2-d coordinates (e.g., NEMO), 2-d indexers (e.g., another model grid?)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
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" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
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".xr-wrap {\n",
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".xr-header {\n",
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".xr-header > div,\n",
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"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: '►';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: '▼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt, dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2 {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c1078cb8-831d-4770-948e-cf2abd5fe591' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c1078cb8-831d-4770-948e-cf2abd5fe591' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>x1</span>: 20</li><li><span>y1</span>: 50</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7ec9bff0-2591-4a62-bbde-f047ddf9b849' class='xr-section-summary-in' type='checkbox' checked><label for='section-7ec9bff0-2591-4a62-bbde-f047ddf9b849' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(x1, y1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>29.1 -19.87 47.64 ... 89.89 15.25</div><input id='attrs-f2cc0ec8-93c8-4edd-8e8c-0b256805af65' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f2cc0ec8-93c8-4edd-8e8c-0b256805af65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dee47a7-06c4-46ea-9781-b35cf25620bc' class='xr-var-data-in' type='checkbox'><label for='data-6dee47a7-06c4-46ea-9781-b35cf25620bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([[ 2.91019883e+01, -1.98686641e+01, 4.76352036e+01,\n",
" -3.24248278e+01, -4.63439889e+01, 5.16739989e+01,\n",
" -5.37213309e+01, -7.95881586e+01, 2.84680528e+01,\n",
" 8.56059987e+01, 5.12078064e+01, 5.95892057e+01,\n",
" -8.84091883e+01, -3.83553464e+01, -4.18895562e+00,\n",
" 7.88110023e+01, 8.85291687e+01, -2.79448334e+01,\n",
" -4.76361334e+01, 1.52980125e+01, -8.97740435e+00,\n",
" -1.28045773e+01, -1.21440302e+01, -7.10672401e+01,\n",
" -6.24727539e+01, 3.16172576e+00, 3.91869186e+01,\n",
" 4.92913678e+00, 9.72900832e+00, 3.42395729e+01,\n",
" 6.66368020e+01, 1.36587012e+01, -4.09498700e+01,\n",
" -2.18326862e+01, -7.44650031e+01, -8.14819640e+01,\n",
" -8.48881187e+01, 3.48982853e+01, -1.17603253e+01,\n",
" -1.14836990e+01, -8.76575297e+01, -3.51455294e+01,\n",
" 7.13848804e+00, 6.15431233e+01, -7.50144305e+01,\n",
" 3.28529504e+01, -5.44338640e+01, 3.69850129e+01,\n",
" 1.88527127e+01, 8.30894991e+01],\n",
" [-7.31605496e+01, -1.69416865e+01, 2.35139508e+01,\n",
" 3.55042007e+01, -2.51496575e+01, 9.00056442e+00,\n",
" 6.44676611e+01, -5.20004513e+01, -6.17462171e+01,\n",
" 5.70939631e+01, 8.70475020e+01, -1.46873139e+01,\n",
" 3.65152167e+01, -7.54794319e+01, 3.45214047e+01,\n",
" -3.10772928e+01, 5.95193897e+01, -5.16130123e+00,\n",
" -6.86392648e+01, 3.77052369e+01, 1.62433940e+01,\n",
" -6.44966808e+01, -6.85630416e+01, -2.51496575e+01,\n",
" -7.92760199e+01, 6.85672643e+01, -2.77955753e+01,\n",
" 8.83441042e+01, -4.38073553e+01, 1.04997725e+01,\n",
" 8.24941432e+01, -5.92299619e+00, -5.04376528e+00,\n",
" 7.68789839e+01, 8.24666023e+01, -1.89373996e+00,\n",
" -5.96044398e+00, -6.60926005e+00, 8.01447342e+00,\n",
" 3.06548593e+01, 3.01780948e+00, -7.36986543e+01,\n",
" -1.07997565e+01, -9.22709985e+00, -5.94886249e+01,\n",
" -6.13999565e+00, -3.84190082e+01, 4.77317354e+01,\n",
" -3.99218488e+01, 7.53839224e+01],\n",
" [ 6.86070230e+01, -7.56300428e+01, 5.99081226e+01,\n",
" -4.08416027e+01, 7.96040452e+01, 3.86296131e+01,\n",
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" -7.32089913e+01, -2.64573813e+01, 4.06193498e+01,\n",
" -2.00454698e+01, 8.65362200e+01, 7.03035671e+01,\n",
" 6.77037761e+01, 2.89911336e+01, 2.44985521e+01,\n",
" -6.91140967e+01, 7.51658928e+01, -6.51507873e+01,\n",
" 2.09521393e+01, -4.20141920e+01, -8.91924334e+01,\n",
" -4.48496746e+01, 5.86395116e+01, 4.48900643e+01,\n",
" -1.45497861e+01, 8.80608441e+01, -2.39543320e+00,\n",
" 8.55675800e+00, -7.99543749e+01, 6.88332345e+01,\n",
" -1.25694840e+01, 4.50117320e+01, 7.25453630e+01,\n",
" 5.83957467e+01, -8.36793040e+01, -6.71333034e+01,\n",
" 4.27500888e+01, 6.93000367e+01, -1.59024718e+01,\n",
" 6.79200506e+01, 5.88103076e+01, 7.37888020e+01,\n",
" 7.97056672e+01, -8.93748382e+00, 3.36183745e+01,\n",
" 7.18555831e+01, 6.27046159e+01],\n",
" [-1.60719189e+01, -8.98539407e+01, -4.80568719e+01,\n",
" 1.82989498e-01, -3.98725277e+01, -7.74180629e+01,\n",
" 5.27116364e+01, -7.12000602e+01, -2.67991544e+01,\n",
" 4.48926433e+01, -2.60846318e+01, 6.51966650e+01,\n",
" -6.11644966e+01, 1.43631256e+01, -3.48486196e+01,\n",
" 6.91253924e+01, 2.69830141e+01, 8.32344440e+00,\n",
" 7.72549621e+01, 8.67973329e+01, -6.27630610e+00,\n",
" -8.14890195e+00, 8.98286580e+01, -3.14397285e+01,\n",
" 6.63529652e+01, 7.35652080e+01, -7.59620667e+01,\n",
" 4.57322305e+01, -3.74758807e+01, 8.54730129e+01,\n",
" 3.30494606e+00, 6.96529747e+01, 1.79565034e+01,\n",
" 4.38161346e+01, 4.53693439e+00, 5.04931932e+01,\n",
" -1.16350023e+01, -1.86906281e+01, 2.47974371e+01,\n",
" 7.36856687e+01, -8.78112259e+01, -2.42912310e+01,\n",
" 2.86467643e+01, -7.10344320e+01, -7.61553138e+01,\n",
" -6.11644966e+01, -8.33620046e+01, -2.02989482e+01,\n",
" -8.87253462e+01, -7.64909241e+00],\n",
" [-2.39723872e+01, -9.84397357e+00, -8.01592288e+00,\n",
" 5.02915155e+01, 8.28708289e+01, 2.60244274e+01,\n",
" 8.28848595e+01, 3.46321569e+01, -6.99120694e+01,\n",
" 4.19262812e+01, -4.42150292e+00, -7.75379691e+01,\n",
" -2.34377421e+01, 9.61980661e+00, -2.09581510e+01,\n",
" 5.61896982e+01, 1.94320411e+01, 4.74003516e+01,\n",
" -4.86179242e+01, 2.78328268e+01, -8.60198503e+01,\n",
" 7.54588289e-01, -3.36817622e+01, 5.27388345e+01,\n",
" 2.72534152e+01, 5.68157630e+01, 5.39842019e+01,\n",
" 4.33530198e+01, 3.44615556e+01, -4.42877427e+01,\n",
" 7.93751451e+01, 8.48769412e+01, 1.15657046e+01,\n",
" 6.37884894e+01, 7.43854656e+01, 1.23307226e+01,\n",
" 7.06672177e+01, -6.42572867e+01, -6.24665796e+01,\n",
" -7.59547204e+01, 7.70294413e+01, -7.66546811e+01,\n",
" 3.78946521e+01, -5.83619436e+01, -6.36780580e+01,\n",
" -8.28707100e+01, 2.54625031e+01, -8.53506729e+01,\n",
" 2.59867959e+01, 1.54117837e+01],\n",
" [-4.15825495e+01, -8.97187175e+01, -5.78900333e+01,\n",
" 8.61411729e+01, -1.53497555e+00, -2.50380866e+01,\n",
" 5.17428093e+01, 4.48121309e+01, -5.57579535e+01,\n",
" -1.44903269e+01, -7.38803106e+00, -2.97882270e+01,\n",
" -8.28479879e+01, 1.78701886e+01, 7.75635772e+01,\n",
" -6.00929084e+01, 5.49802125e+01, -1.14836990e+01,\n",
" -1.06779475e+01, -6.00744241e+01, 7.45709769e+00,\n",
" -2.31709565e+01, 8.29269099e+01, 3.74133480e+01,\n",
" -6.17621005e+01, 3.75616042e+01, 8.83441042e+01,\n",
" -4.29927234e+00, 7.21993787e+01, -4.48582873e+00,\n",
" 6.79602167e+01, -5.22537033e+01, -3.48298445e+01,\n",
" 8.48366080e+01, -8.44497338e+01, 6.58697972e+01,\n",
" -6.41347048e+01, 8.92594773e+01, -5.87303124e+01,\n",
" -3.11483807e+01, -6.31522194e+01, 3.00011813e+01,\n",
" -6.35150343e+01, -2.80087220e+01, 1.26140210e+01,\n",
" 4.72867393e+01, -4.34506183e+01, 1.68865984e+01,\n",
" -1.21545616e+01, 2.19151562e+01],\n",
" [ 5.08004215e+01, 2.69012273e+01, -5.85484416e+01,\n",
" 1.40597763e+00, 1.03360149e+01, 8.36882213e-01,\n",
" 4.81231999e+01, 8.61846519e+01, 5.56835634e+01,\n",
" -4.05767891e+00, -5.04435069e+01, 3.75581769e+00,\n",
" -5.00065812e+01, 3.33794457e+01, 7.83660242e+01,\n",
" -5.69301860e+00, -6.26001413e+00, -5.01128096e+01,\n",
" 4.19875143e+01, -5.20086996e+01, -8.40059594e+01,\n",
" 8.45584968e+01, 2.35709998e+00, 6.39134358e+01,\n",
" -6.59107539e+01, -8.33620046e+01, -1.65734877e+01,\n",
" 6.74793552e+01, 7.12814070e+01, 7.14140283e+01,\n",
" -3.77880456e+01, -2.14902857e+01, 7.61256013e+01,\n",
" -7.90022955e+01, 2.03520275e+00, 3.83692277e+01,\n",
" -1.60459918e+01, -2.27356159e+01, 1.11074664e+01,\n",
" -1.90359384e+01, -2.97490407e+01, -8.11514734e+01,\n",
" 4.73970965e+01, -2.95587430e+01, -2.45543301e+01,\n",
" -9.02424170e+00, 1.47297990e+01, 2.06797890e+01,\n",
" -3.83659048e+01, 8.87126988e+01],\n",
" [-1.41185087e+01, -3.17829243e+01, -5.61267969e+00,\n",
" 5.54572822e+01, 5.59326877e+00, 1.01046134e+01,\n",
" 6.39134358e+01, -8.00024808e+01, 4.93751594e+01,\n",
" -8.72703103e+01, 2.43244914e+01, -6.88262521e+01,\n",
" -5.38189249e+00, 2.65337306e+00, 7.39338777e+01,\n",
" 3.81238438e+01, -8.43176612e+01, -4.34503315e+01,\n",
" -1.58517250e+01, 5.65271806e+01, -6.72341718e+01,\n",
" -8.66455127e+01, -7.84300700e+01, -2.60846318e+01,\n",
" -1.77554719e+01, -7.69295431e+01, -5.32632649e+01,\n",
" 2.37689405e+01, 4.34498888e+01, -5.67780570e+01,\n",
" -5.11028403e+00, -5.24549571e+01, 3.18660677e+01,\n",
" -6.58379668e+00, -6.38344642e+01, -7.56561359e+01,\n",
" 4.23618168e+01, -7.77853285e+01, -4.47881895e+00,\n",
" 5.41238210e+01, 8.54997493e+01, 2.84725438e+01,\n",
" -4.49105945e+01, -8.49535098e+01, -7.01524203e+01,\n",
" 5.12268756e+01, 6.65908475e+01, 8.75182086e-01,\n",
" -1.60459918e+01, -5.88784392e+01],\n",
" [ 7.43854656e+01, -4.13222530e+01, -4.58536595e+01,\n",
" 4.35500212e+01, 7.55428276e+01, 6.08356711e+01,\n",
" -1.31298603e+01, 2.76662011e+01, 7.20713393e+01,\n",
" -5.02996205e+01, -2.12750361e+01, -2.39655887e+01,\n",
" 6.61904603e+00, -7.59622428e+00, 1.12066963e+01,\n",
" 1.34058891e+01, -6.69585489e+00, 7.57273676e+01,\n",
" -2.79789621e+01, 6.87151750e+01, -7.42867680e+01,\n",
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" 2.83975060e+01, 4.70481639e+01, -3.00026519e+01,\n",
" 7.48810259e+01, -8.11607107e+01, 2.16838787e-02,\n",
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" 8.29687299e+01, 6.32281313e+01, 5.67669652e+01,\n",
" 1.28149922e+01, 4.29441093e+01],\n",
" [-7.06133127e+01, -4.98101311e+01, -1.65640592e+01,\n",
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" 6.47140054e+01, 2.42466472e+01, -8.55761691e+01,\n",
" -5.95567806e+01, -5.47769383e+01, -3.62435244e+01,\n",
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" -7.71158132e+01, 7.78988439e+00, -4.73012988e+01,\n",
" 1.56313329e+01, 1.67071133e+01],\n",
" [-7.39037269e+01, -8.19142246e+01, 4.56584276e+01,\n",
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" 5.29426475e+01, 3.65344180e+01, 7.48529925e+00,\n",
" 1.95063006e+01, -6.73192945e+01, 8.98197452e+00,\n",
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" -4.81404801e-01, 2.92803347e+01, 1.78605267e+00,\n",
" 8.38016276e+01, 8.49576188e+01, 7.32485368e+01,\n",
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" -5.68409420e+01, -8.36499318e+01, -6.57902775e+01,\n",
" 2.36449321e+01, -7.03004314e+01],\n",
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" -4.65689401e+01, -5.94037511e+00, 7.02623025e+01,\n",
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" -3.56765982e+01, 3.67223287e+01, -5.88050013e+01,\n",
" 1.67607743e+00, -4.65010730e+01, -8.64513152e+01,\n",
" 2.26198988e+01, 1.48921537e+01, -6.64755290e+01,\n",
" 6.51401796e+01, -8.58273127e+01, -5.17412804e+01,\n",
" 1.25496796e+00, 8.02212523e+00, 1.36587012e+01,\n",
" 2.92301750e+01, 6.65345459e+01, 8.15342964e+01,\n",
" 1.47427136e+01, 5.88221870e+01, 5.09025535e+01,\n",
" -3.80382908e+01, -8.55331277e+01],\n",
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" -6.28031201e+01, -8.80072619e+01],\n",
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" 4.18915282e+01, 4.98751058e+01, -4.36642456e+01,\n",
" 8.12574382e+01, -8.89267006e+01, 7.82517558e+01,\n",
" -7.23128744e+00, 4.03825164e+01, 8.40909700e+01,\n",
" 3.24680939e+01, 7.43319468e+01, 2.39883260e+01,\n",
" -6.90431124e+01, 6.50606334e+01, -7.94239443e+01,\n",
" 8.34682339e+01, -1.12662353e+01, -4.88521695e+00,\n",
" -2.88498312e+01, 8.54190741e+01, 8.82310679e+01,\n",
" -1.68644674e+01, 6.59055325e+01, -8.75103859e+01,\n",
" 1.99829688e+01, -6.24665796e+01],\n",
" [ 4.32340215e+01, -6.88262521e+01, -7.45290874e+01,\n",
" 3.08419916e+00, -2.71855123e+01, -8.62545246e+00,\n",
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" 8.14428634e+00, 2.72065781e+01, 2.78480616e+01,\n",
" 8.51698912e+01, 2.73088525e+01, 9.15686903e+00,\n",
" 7.21686194e+00, 3.52472352e+01, 6.20154329e+01,\n",
" -1.85858788e+01, -3.62435244e+01, 2.76654763e+01,\n",
" 4.96343475e+01, -1.12660779e+00, -8.78112259e+01,\n",
" 7.95996206e+01, -5.24886679e+01, 6.69509530e+01,\n",
" -8.31067241e+01, -1.53933655e+01, 4.73723666e+01,\n",
" -5.83159720e+01, 3.17475069e+01, -8.42992821e+01,\n",
" -1.49481252e+01, 8.10341849e+01, 6.43526782e+01,\n",
" -1.11073173e+01, 1.62433940e+01, 8.94398274e+00,\n",
" -7.49047257e+01, 5.88221870e+01, -1.69416865e+01,\n",
" 8.27018642e+00, -5.58280313e+01, 8.33940477e+01,\n",
" 1.21592491e+01, 4.78245587e+01],\n",
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" 5.91242570e+01, -3.79749291e+01, 4.50117320e+01,\n",
" 8.99954665e+01, 1.88833186e+01, 4.16442597e+01,\n",
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" 4.04212403e+01, 8.33940477e+01, 6.42225752e+01,\n",
" 3.65775791e+01, -1.30380081e+01, -7.10814321e+01,\n",
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" 7.73296799e+01, 4.80273319e+01, 2.40666852e+01,\n",
" 1.06895890e+01, -1.09728823e+01, 7.47157558e+01,\n",
" -2.20149342e+01, 3.32729517e+01, -6.45555401e+01,\n",
" -3.43740749e+01, 4.30378975e+00, -1.14256801e+01,\n",
" 2.60621829e+01, 3.94193254e+01, 6.99209037e+01,\n",
" 4.53746662e+01, 4.79526325e+01, -2.84079607e+01,\n",
" 1.09753309e+01, 2.32681524e+01, 8.29933661e+01,\n",
" -7.64515973e+01, 5.20643317e+01, 5.63360091e+01,\n",
" -2.46134622e+01, -5.31349847e+01],\n",
" [ 5.91242570e+01, 1.57339097e+01, -2.67252358e+01,\n",
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" 2.38991145e+01, -1.99209600e+01, -5.04828149e+01,\n",
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" 2.94677540e+01, -3.24553577e+01, 2.88006027e+00,\n",
" 2.72909315e+01, -7.20070977e+01, -7.14790142e+01,\n",
" -1.75816658e+01, -6.53172499e+01, 5.64894144e+01,\n",
" 2.99407385e+01, -3.46553290e+01, 6.16793763e+01,\n",
" -1.74170389e+01, -2.34359366e+01, 6.21919410e+00,\n",
" 3.98727405e+01, -8.91924334e+01, -2.04933317e+01,\n",
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" 2.95474590e+01, 4.34018210e+01, -7.59547204e+01,\n",
" -8.55449717e+01, 3.17009045e+01, -5.36846897e+01,\n",
" -5.55279574e+00, -4.49105945e+01],\n",
" [-2.32011082e+01, 2.43593345e+01, -7.00281857e+01,\n",
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" -3.30681007e+01, -8.28637887e+01, -7.06796022e+01,\n",
" 8.59948872e+01, -7.74966192e+01, 2.65893775e+01,\n",
" 5.08168604e+01, 6.35774858e+01, -6.21536847e+01,\n",
" -2.34998120e+01, 1.94320411e+01, 6.92656032e+01,\n",
" 7.25462816e+01, 2.89632738e+01, 4.68752122e+01,\n",
" -7.79150709e+01, -7.23128744e+00, -1.30999882e+01,\n",
" -5.66718003e+01, 3.92011344e+01, -4.45393015e+01,\n",
" -4.76030765e+01, 2.01152748e+01, -7.39037269e+01,\n",
" -5.40719773e+01, -8.26751845e+01, 5.20457458e+01,\n",
" 4.48330135e+01, 5.04931932e+01, -3.47759682e+01,\n",
" 6.01009419e+01, -2.94612912e+01, -8.03399389e+01,\n",
" -6.98625090e+01, 3.73572666e+01, -5.53320110e+00,\n",
" 2.62695196e+01, 7.25403767e+01, -3.89556406e+01,\n",
" -7.27583722e+01, -1.95757185e+01, 6.04418401e+01,\n",
" -8.53366127e+01, 3.08930524e+00],\n",
" [-8.42462412e+01, 5.86395116e+01, 4.56127382e+01,\n",
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" 2.06678421e+01, -8.09233297e+01, 5.61909516e+01,\n",
" 8.23290770e+01, -1.28732849e+01, -6.69542778e+01,\n",
" -8.16790934e+01, -8.01129710e+01, -5.67780570e+01,\n",
" -2.07896526e+01, 6.64189611e+01, 6.21197901e+01,\n",
" -4.73955235e+01, 4.58996480e+01, 2.87100984e+01,\n",
" 4.46252788e+01, 1.29186512e+01, -1.75816658e+01,\n",
" 3.14381306e+00, -1.22304447e+01, -3.92594769e+01,\n",
" 8.06356792e+01, -2.38450231e+01, -6.77367570e+01,\n",
" -6.36056652e+01, -6.15096880e+01, -4.15910536e+01,\n",
" -6.84299248e+01, 2.45289335e+01, -2.04835045e+01,\n",
" 4.46104981e+01, -9.40653222e-01, -5.22532947e+01,\n",
" 8.92594773e+01, -7.15946557e+01, -6.18474454e+01,\n",
" -3.07942916e+01, 5.70018808e+01, -3.70093804e+01,\n",
" -3.67691239e+01, -3.24553577e+01, 2.14783670e+01,\n",
" -4.47761770e+01, -5.88050013e+01],\n",
" [ 6.01269726e+01, -8.11720060e+01, -2.34377421e+01,\n",
" -8.74530865e+01, 1.15657046e+01, -6.82669412e+01,\n",
" -5.31076248e+01, 6.11246015e+01, 1.05168654e+01,\n",
" 7.05105870e+01, -1.90628573e+01, -6.92936236e+01,\n",
" -6.05474351e+01, 5.04427621e+01, -4.19219872e+01,\n",
" 3.33590897e+01, -6.58911048e+01, -5.35106341e+01,\n",
" -8.48959901e+01, 5.81041814e+01, -8.61696165e+01,\n",
" -7.73919268e+01, -4.65010730e+01, -4.08078853e+01,\n",
" -6.76177534e+01, 2.55058999e+01, -7.18275409e+01,\n",
" 7.42869086e+01, 8.48951630e+01, 7.27031606e+00,\n",
" -8.08609295e+01, -4.34506183e+01, -6.20074306e+01,\n",
" 2.99484659e+01, 2.09352532e+01, -7.78475018e+01,\n",
" 4.33490710e+01, 7.82918602e+01, -2.27748947e+01,\n",
" -3.03960865e+01, -3.48013476e+01, 2.82455953e+01,\n",
" -2.62248449e+01, -5.78052275e+01, 8.87133498e+00,\n",
" 8.29933661e+01, -6.67979737e+01, -2.00450194e+01,\n",
" 8.98875029e+01, 1.52491777e+01]])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(x1, y1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-49.88 58.38 ... -47.29 -118.3</div><input id='attrs-552339ac-5194-4661-87b8-7e48d63197ca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-552339ac-5194-4661-87b8-7e48d63197ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86f0d209-4a8f-4c11-81ec-c0543d7098a3' class='xr-var-data-in' type='checkbox'><label for='data-86f0d209-4a8f-4c11-81ec-c0543d7098a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([[-4.98793700e+01, 5.83783718e+01, 1.26731931e+02,\n",
" -4.69232119e+01, 3.57092735e+01, 1.38666134e+01,\n",
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" 3.94883100e+01, -3.20896934e+00, 1.16389078e+02,\n",
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" 1.01848484e+02, 7.62235853e+01, -2.23943347e+01,\n",
" 4.71757081e+01, -1.06427427e+02, 1.25714413e+02,\n",
" 4.21094889e+01, -7.08595202e+01, 1.90137050e+01,\n",
" 1.05903225e+02, -3.77634751e+01, 5.61847251e+01,\n",
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" -8.76577407e+01, 1.08587071e+01, -1.22163355e+02,\n",
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" -4.79201166e+01, 1.57970474e+02, 1.74121220e+02,\n",
" -1.79351477e+02, 9.82925476e+01],\n",
" [-1.91385507e+01, 1.06970235e+02, 3.71145940e+01,\n",
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" -3.48055168e+01, -9.44451088e+00, -1.44335712e+02,\n",
" 2.89845833e+01, -1.41861245e+02, 1.20531783e+02,\n",
" 3.33163934e+01, -5.87683748e+01, -1.90249329e+01,\n",
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" -5.86236014e+01, 1.70301044e+02, -1.11102579e+02,\n",
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" 1.35190736e+02, 1.39054000e+01, -5.87675048e+01,\n",
" -1.71449920e+02, 1.00621876e+02, -1.45043285e+02,\n",
" -1.26328629e+02, 8.11857580e+01, 7.71142194e+01,\n",
" 1.60793171e+02, -1.29687370e+02, 1.03955365e+02,\n",
" 6.77580793e+01, -5.50477099e+01, -7.39966319e+01,\n",
" 2.37424374e+01, -1.55874220e+02, 9.43783827e+01,\n",
" -1.02357767e+02, 5.26067206e+01, 1.65769988e+02,\n",
" 1.46353363e+02, -4.45608368e+01, 1.35504250e+02,\n",
" 8.91645475e+01, -1.05244895e+02],\n",
" [ 1.88112834e+01, 4.53511271e+01, -9.05693278e+01,\n",
" -9.13089255e+01, 1.18659553e+02, -1.68262456e+02,\n",
" 1.25865424e+02, 1.33324559e+02, -1.09408883e+02,\n",
" -1.56329679e+02, 5.05448321e+01, -1.02615870e+02,\n",
" -3.91543647e+01, -1.13948680e+02, -1.78375143e+02,\n",
" -9.37566925e+01, 1.13279848e+02, -3.12995186e+01,\n",
" -8.45354937e+01, 1.53193153e+02, 9.98726038e+01,\n",
" -8.85170648e+01, 1.72649733e+02, -1.40954080e+01,\n",
" -1.70979675e+02, -1.46497738e+02, 1.09217501e+02,\n",
" 1.32227898e+02, -3.76062974e+01, 6.61209691e+01,\n",
" 3.06359259e+01, 2.74655245e+01, -7.37156172e+01,\n",
" 1.23979541e+02, -1.57014799e+01, 1.03195817e+02,\n",
" 7.36657242e+01, 1.35640863e+02, 7.19447848e+01,\n",
" 7.26956728e+01, -1.65880680e+02, -1.11426925e+02,\n",
" -1.62046994e+02, 2.18299555e+01, -3.90130689e+01,\n",
" -1.48176417e+02, 1.73336721e+02, -1.01293736e+02,\n",
" 1.95091119e+01, 1.56326258e+02],\n",
" [-6.51610156e+00, -1.68324493e+01, 6.24635780e+01,\n",
" -5.58935057e+01, 8.17650903e+01, -2.65192597e+00,\n",
" 4.52127059e+01, -1.12476484e+02, -1.59416409e+02,\n",
" -5.55221831e+01, 6.92867018e+01, 1.32219563e+01,\n",
" -1.11736842e+02, 3.01331251e+01, 1.77927863e+02,\n",
" 8.03606870e+01, -1.07175579e+02, 1.10312889e+02,\n",
" -1.49014110e+02, -1.89227693e+01, 1.78771395e+01,\n",
" -8.03457828e+01, 5.63914219e+01, -7.85874297e+01,\n",
" 2.60613956e+01, -7.96715038e+01, 1.65922007e+02,\n",
" 6.90212066e+01, 1.31696324e+01, 5.85751153e+00,\n",
" -6.66648184e+01, -5.64965096e+01, 3.43910358e+01,\n",
" 1.49680780e+02, 1.09623945e+02, -6.20265637e+01,\n",
" -1.67533849e+02, 1.09705833e+02, 3.81993695e+01,\n",
" -4.33812625e+01, -1.14130990e+02, -1.01741121e+02,\n",
" 1.31812311e+01, 2.79880524e+01, 9.45341638e+01,\n",
" 1.38970497e+02, 2.04445038e+01, 8.29272294e+01,\n",
" -1.70115627e+02, 2.11966259e+01],\n",
" [ 1.11514214e+02, 1.68744057e+01, -1.10622157e+01,\n",
" 1.48011556e+02, -5.66016186e+01, 7.30985031e+01,\n",
" 1.35937348e+02, -9.55616077e+01, 9.32285508e+01,\n",
" 1.79289449e+01, 1.77874036e+02, -1.11045032e+02,\n",
" 1.31956238e+02, -1.67118884e+02, -9.28646904e+01,\n",
" -1.12388953e+02, 1.46629202e+01, -2.81145395e+00,\n",
" -8.99207480e+01, 1.54287253e+02, 4.74741968e+01,\n",
" -8.02574401e+00, 1.99077993e+01, -1.70979675e+02,\n",
" -5.76285161e+01, -2.70205832e+01, 8.96815276e+01,\n",
" -4.47283788e+00, 5.48020896e+01, 1.56347082e+02,\n",
" 3.76506868e+01, 6.64871516e+01, 6.07016146e+01,\n",
" 9.46006558e+01, 1.48809650e+02, 3.62272549e+01,\n",
" -8.18344819e+01, -4.33212540e+01, 1.07293432e+02,\n",
" 9.43560281e+01, 1.54545516e+02, -1.02269149e+02,\n",
" -1.72885594e+02, 1.72794834e+02, -1.19233567e+02,\n",
" -3.78787703e+01, 1.53193153e+02, 4.33148389e+01,\n",
" -1.00383776e+02, 8.50187317e+00],\n",
" [-1.37128896e+02, 1.60803213e+02, -3.76166155e+01,\n",
" 1.31916899e+02, -1.18097267e+02, -1.05275224e+02,\n",
" -9.49414029e+01, 9.46288441e+01, 1.49613484e+02,\n",
" -9.47229728e+01, 3.10380780e+01, -3.74752036e+00,\n",
" 1.49123869e+01, -1.04814393e+02, -1.66099102e+02,\n",
" 1.18709887e+02, -1.67385271e+02, -3.22344100e+01,\n",
" -1.11990383e+02, -1.04055922e+02, -1.17999075e+02,\n",
" 5.96663323e+01, 4.21872167e+01, 1.21772431e+02,\n",
" -4.63212836e+01, -3.57422188e+01, 9.25606440e+01,\n",
" -2.56024361e+01, 9.28499146e+01, 6.88542389e+01,\n",
" -1.63514975e+02, 1.74381415e+02, 1.02325684e+02,\n",
" -4.08647722e+01, 5.47339548e+01, 9.64280479e+01,\n",
" 9.24489282e+01, -1.13458120e+02, -1.28548144e+02,\n",
" -9.45412455e+01, 1.11342021e+02, 1.05337570e+02,\n",
" -1.54901516e+02, 1.23142856e+02, -8.81757519e+01,\n",
" 1.65769988e+02, 1.03945910e+02, -1.64519634e+02,\n",
" -4.72934279e+01, -1.18280679e+02]])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-4a9c885b-5a02-44d2-8983-a498816c234b' class='xr-section-summary-in' type='checkbox' checked><label for='section-4a9c885b-5a02-44d2-8983-a498816c234b' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>field</span></div><div class='xr-var-dims'>(x1, y1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-20.78 38.51 174.4 ... 42.59 -103.0</div><input id='attrs-e0abe43b-05ec-420b-a997-06516fbc7ae4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e0abe43b-05ec-420b-a997-06516fbc7ae4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-144be4eb-4119-4413-94c4-bb264521edb9' class='xr-var-data-in' type='checkbox'><label for='data-144be4eb-4119-4413-94c4-bb264521edb9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([[ -20.77738172, 38.50970777, 174.36713428, -79.34803964,\n",
" -10.63471532, 65.54061228, -104.42871353, -216.83297049,\n",
" -14.6273423 , 119.39542382, 212.78835442, 9.66781609,\n",
" -132.65348907, 113.76807318, -11.43170243, 118.29931229,\n",
" 85.32019937, 88.44424468, 125.93862474, 30.60173416,\n",
" 150.13283249, 89.0439069 , 64.07955503, -93.46157484,\n",
" -15.29704581, -103.26570079, 164.90133181, 47.03862567,\n",
" -61.13051185, 53.25327784, 172.54002752, -24.10477389,\n",
" 15.23485512, -128.90183449, -182.15019741, -235.8583511 ,\n",
" -172.54585934, 45.7569924 , -133.92368034, -153.89879849,\n",
" -93.08208498, -66.46989114, 109.9035017 , 220.08636801,\n",
" -163.17429145, -15.06716626, 103.53661018, 211.1062332 ,\n",
" -160.49876448, 181.38204677],\n",
" [ -92.29910022, 90.02854819, 60.62854479, 28.46573563,\n",
" -106.13492752, -96.99385856, 29.66214427, -61.44496221,\n",
" -206.08192894, 86.07854642, -54.81374282, 105.84446865,\n",
" 69.83161009, -134.24780677, 15.4964718 , -163.14344595,\n",
" -3.57048537, -49.79534364, -127.26286627, 208.00628109,\n",
" -94.85918515, -29.54242929, -1.45354936, -106.13492752,\n",
" -13.7951581 , -96.28528941, -155.8558733 , -6.47984783,\n",
" 0.59167134, 135.39053631, 138.25877986, 127.87646902,\n",
" -138.47438483, 152.0974953 , -27.22026141, 174.38552211,\n",
" 104.74537274, -51.81129057, 82.00480457, -33.85444094,\n",
" 122.15560471, 69.11987801, 103.33097545, -177.56729607,\n",
" -16.44432129, 71.57999959, -85.63689069, -131.61042441,\n",
" -53.59138538, 119.17243021],\n",
" [ 215.52195585, 63.85224524, 191.02838921, -98.86695256,\n",
" 122.80822083, 132.51994484, 9.20116984, -105.78971156,\n",
" -7.36783864, 36.67924799, 74.68642174, 181.0519096 ,\n",
" 87.89532787, 28.43252274, -12.18773851, 239.96771084,\n",
" 47.92185086, -79.10913829, -155.41313854, 80.45994892,\n",
" -94.94640794, 190.47022601, 119.97078549, -104.89391328,\n",
" -30.16015632, 75.51391739, 178.90374255, -140.33446749,\n",
" 244.49558515, 53.04699328, 59.36412413, -100.93111479,\n",
" -45.69060831, -37.51814598, -50.24867752, 152.39091333,\n",
" 115.85095706, -98.15389667, -176.60325139, 42.73316191,\n",
" -88.71232652, -61.20934138, -0.53596586, 89.86332858,\n",
" -91.47731329, 93.04587621, 165.86203158, -13.56004597,\n",
" 176.88412606, -86.8694058 ],\n",
" [ -62.41275915, 71.35898569, -39.57339364, 79.76219261,\n",
" 27.41529911, -74.50352731, 20.74851405, -147.84340346,\n",
" 22.68049157, -3.47414591, 137.05396052, 138.81502846,\n",
" -116.61628319, -48.12008056, 137.5391394 , 79.69170227,\n",
" -98.92143972, 52.03307041, -39.45243088, -59.36577745,\n",
" 163.19007417, -65.73812484, 211.33940779, -168.75417053,\n",
" 189.99527399, 33.7908032 , -179.36237686, -39.76941031,\n",
" 57.48675423, -92.19034374, 120.77979921, -35.18046116,\n",
" -80.67780204, -32.14409607, -30.80255585, 160.11713798,\n",
" -180.54354154, -159.52119889, 182.33843453, 57.47652799,\n",
" -215.52844236, -72.09508528, -137.00801181, -16.73468116,\n",
" -146.16900411, -116.61628319, 13.00695017, -90.29721412,\n",
" -152.12484394, 73.31372463],\n",
" [ 111.76617382, 75.78337443, 142.71471957, 71.7671139 ,\n",
" 102.21848487, -76.16326113, 130.20547439, 209.41735709,\n",
" -67.05800111, -119.60156214, -85.90177974, -141.50646223,\n",
" -61.05435758, 106.93669026, -149.2780304 , 222.38174878,\n",
" -87.7435376 , 137.70716865, -86.25899776, -32.83317911,\n",
" -62.28078281, -23.48511248, -128.98392208, -72.07646526,\n",
" 118.11115067, -120.49404511, 56.18234478, 58.77819754,\n",
" -117.32623637, -12.35126291, 130.65907452, 244.06444112,\n",
" -106.53156257, 48.8075223 , -45.50706699, 169.02523793,\n",
" 167.68957799, -226.98469768, -179.76547134, -114.9677893 ,\n",
" 204.44691267, -246.77167836, -40.8890121 , -26.83192055,\n",
" -75.07483665, -18.64778872, 52.72776574, -254.66428212,\n",
" -53.5148768 , -131.39993981],\n",
" [ -69.33275798, -111.68205326, -233.02680065, 185.66896036,\n",
" -69.16077469, -3.52075628, 205.49557013, -131.68371154,\n",
" 80.30997135, 24.06101911, -26.59416273, 84.98279631,\n",
" 21.4211874 , -98.48880911, -83.25772337, -208.3984308 ,\n",
" 68.90521769, -153.89879849, 83.52534117, -167.41975889,\n",
" 145.98636227, -139.63147509, 166.56574553, -112.10559839,\n",
" 35.36936286, 27.61675387, -6.47984783, -111.02532315,\n",
" 200.48999112, 122.39790304, 233.26844393, -204.2137046 ,\n",
" 141.11395754, -54.9277131 , -26.83248621, 25.55139323,\n",
" -237.50172865, 183.61550544, 73.20430043, -187.99386947,\n",
" -36.4908114 , 73.23301458, -73.00845058, -34.33221731,\n",
" -68.75486189, 187.79394562, 130.93079621, -106.45253259,\n",
" 74.99450826, -76.76844153],\n",
" [ 60.0662462 , 197.01910849, 11.01510448, 62.42380435,\n",
" -30.55093346, -32.8881675 , 108.67801367, 248.35433737,\n",
" -75.19747539, 98.37082541, -117.66796869, 141.96926849,\n",
" -15.96073282, 120.5090358 , -72.06902659, -54.09477621,\n",
" 31.26883046, 37.13267446, -36.181626 , 79.95778209,\n",
" -255.35431642, 160.32095142, 170.11703329, 163.42044184,\n",
" 111.50699617, 13.00695017, -128.3019456 , -68.40987147,\n",
" 85.26603044, 206.03112264, -109.35741134, -11.36063982,\n",
" -38.83443009, 23.54084168, -135.68326136, -94.34878912,\n",
" 160.90380957, -3.47407247, 185.84159167, -167.37417174,\n",
" 45.66361708, -91.00610733, -78.33786028, 133.14969513,\n",
" 86.92861612, -172.62550441, -42.70281302, -158.17997228,\n",
" -37.21051046, 132.91347207],\n",
" [ -86.78059494, 147.81285665, 4.21761249, 115.68111078,\n",
" -5.46028901, 53.80827503, 163.42044184, -257.78433287,\n",
" 201.13013068, -155.44875621, -63.54643858, -62.72945197,\n",
" -23.16846587, 92.95442939, -104.39786035, -62.94979677,\n",
" -6.32627048, -31.51304478, 126.30565895, 11.26891198,\n",
" 48.97808053, -74.77586354, 99.872957 , 137.05396052,\n",
" -6.97716762, -155.08185167, -110.74426065, 52.65345072,\n",
" 103.92306795, -149.64274744, -101.91321607, 69.03047446,\n",
" 151.36198173, 45.30147638, -149.39155543, -90.91672076,\n",
" 123.76118665, -204.71570971, -15.29206573, -62.92739739,\n",
" 122.32422594, 155.28395958, 111.4156631 , -43.00645423,\n",
" -201.59644094, 37.06470508, -88.44331134, 110.98314074,\n",
" 160.90380957, 50.80398388],\n",
" [ -45.50706699, -72.43629351, 50.31147322, -7.67259369,\n",
" 64.31309535, 4.23405252, -173.70385792, 55.79210866,\n",
" -7.76715909, 97.26437386, 55.56575785, 113.43818398,\n",
" 152.08375926, -62.32220932, -67.22616369, -36.0991896 ,\n",
" -144.35352543, 142.22624626, 143.16427012, 227.26455529,\n",
" -232.85178363, -133.17860609, -83.31028422, 32.337915 ,\n",
" 30.21140512, 108.59802204, 127.00567014, -68.55859076,\n",
" -96.50976162, -53.59138538, -107.02239363, 154.21645043,\n",
" 23.84682524, 76.866576 , 165.67234648, -161.49522772,\n",
" -60.28806247, -26.83440589, 173.6817054 , 40.28897964,\n",
" 143.53648422, -71.35238412, -9.2415358 , 41.4612117 ,\n",
" -36.17717552, 15.18414481, 218.12838512, 49.29272518,\n",
" 65.22975438, -47.61440218],\n",
" [-196.53292002, -94.97382412, 151.70879327, 115.77417806,\n",
" 123.31365494, 119.97078549, 123.40595544, 182.06627706,\n",
" -228.77649994, 100.4306255 , -56.62090173, 30.61936481,\n",
" 133.25746787, 21.64311885, 59.89999559, 119.63689649,\n",
" 45.919211 , -88.350664 , -173.50727924, 51.34027566,\n",
" -0.51192443, 129.84108643, 23.9344325 , 95.68019999,\n",
" 64.79320585, -35.57929355, -74.88743602, 87.52677887,\n",
" 28.10750704, -15.27050878, -124.93733207, 217.32307676,\n",
" 198.73706154, -74.26193046, -20.39654211, 69.9949001 ,\n",
" 93.04587621, -129.73210842, -206.14821379, 154.83590745,\n",
" -130.16867734, -175.69752422, -18.86329695, -28.69427699,\n",
" 176.03104311, -209.30620391, 172.33997861, -87.90347919,\n",
" -45.41619473, 6.98057299],\n",
" [ -68.04621533, 22.98157272, -33.30035031, -26.64329073,\n",
" -117.21535402, 21.48447197, 211.48097608, -74.36397341,\n",
" 33.80890501, 84.36018445, -12.86746623, -15.96073282,\n",
" 21.32465405, -103.82133574, -31.82738931, 176.08458298,\n",
" 28.97378647, 174.08792406, 188.08966746, -6.92103903,\n",
" -13.55106157, -51.54945028, 76.85680609, 76.72205148,\n",
" -159.65051657, 172.02582477, 216.77414044, -204.2137046 ,\n",
" -186.96924566, -117.5921037 , -88.47703707, 3.03995987,\n",
" 147.86708949, -159.48935218, 105.31225956, 215.98632393,\n",
" -93.01081601, -40.5098137 , 127.8932995 , 78.66151364,\n",
" 209.27246579, 71.06180221, 53.14182434, -139.66529208,\n",
" -94.97382412, -226.80742655, -50.53804628, -132.570649 ,\n",
" 186.99164672, 48.32238994],\n",
" [ 130.41791839, -12.10551448, 202.68670922, 188.70400462,\n",
" -159.93726412, 79.84989742, -12.52612737, 160.92672728,\n",
" 135.93142501, 179.90022112, 89.86332858, -22.08653122,\n",
" -208.10595942, 149.06496394, 47.47233955, -59.29953681,\n",
" -7.92682745, 160.30569229, -139.63147509, -257.87027618,\n",
" 20.30519264, 9.13053748, -30.16015632, -114.15572775,\n",
" -64.02188066, -189.78842356, 21.31083291, -211.17861271,\n",
" 92.08897688, -50.30312817, -96.05385111, -4.31385628,\n",
" -119.00294065, 94.13692101, -92.48526607, 77.3316166 ,\n",
" 171.46060293, -74.4247227 , -92.86311129, -47.91300017,\n",
" 35.1573589 , -24.10477389, 82.28845625, 132.11279101,\n",
" 22.18138071, -16.55680499, 201.66647227, 199.78614092,\n",
" 140.75069072, -63.62719778],\n",
" [ 117.07835806, -126.77728655, 15.84621381, -174.9187707 ,\n",
" 103.80289983, -152.27876585, -177.19377616, 110.064606 ,\n",
" -60.23725737, 62.70385429, 78.70480226, 35.26732772,\n",
" -46.55117633, -91.14587113, 31.88506244, 33.95792206,\n",
" -68.66794023, -133.59277153, 118.10993424, -227.10383079,\n",
" -147.55210472, 69.99247925, 17.93976512, -3.87459922,\n",
" -159.23236102, 206.77224624, 25.54329117, 30.46533296,\n",
" -20.18057499, -152.40109498, -182.71661229, -187.58205415,\n",
" 75.04735062, -199.24599566, 11.64111282, 45.47386632,\n",
" -30.35566607, -34.21450131, -43.46852086, 118.76060065,\n",
" 21.47604389, -125.49086792, -21.15956888, -159.82150255,\n",
" 94.70018693, -130.97714305, 79.83755599, -44.89081436,\n",
" 69.03247453, -235.01678214],\n",
" [ 132.24497935, 54.88438773, 73.17743976, -60.8350508 ,\n",
" 92.655813 , 76.24893248, 69.6443907 , -9.5111189 ,\n",
" -196.54600795, -56.35748634, -197.30990259, 23.04766954,\n",
" -65.23543591, -73.26769381, 141.11395754, -52.93637311,\n",
" -41.14976737, -57.01795769, -201.59644094, 46.87785261,\n",
" -85.327412 , 56.09335483, 219.44726452, 159.5653317 ,\n",
" 129.45988218, 198.00203022, 54.35946766, -82.81282488,\n",
" -16.83896086, 154.83031335, 49.16013448, -41.22338524,\n",
" 60.30184214, 20.61837663, 26.63485026, -60.76638572,\n",
" -57.31871025, 131.91445142, 84.27872969, 74.78359509,\n",
" -42.32725544, 62.11831089, 77.41402898, 28.51702345,\n",
" -86.12437149, 82.47343932, 142.12392385, 5.96029428,\n",
" -17.03713238, -179.76547134],\n",
" [ 70.6396073 , -62.72945197, -196.15226231, -70.11432399,\n",
" 115.49236822, 156.59921113, -49.24193654, 183.18674366,\n",
" 106.23901889, -144.35352543, 8.35884287, -160.32829513,\n",
" 152.05245718, -42.42254989, 4.61688822, -40.05644313,\n",
" -77.98000813, -22.30960912, -7.93114908, -33.80176855,\n",
" -106.44310794, -83.47737081, 30.61936481, 162.374259 ,\n",
" -114.31691906, 155.60239044, -215.52844236, 103.05003388,\n",
" -17.82306707, 221.68728113, -104.80421089, -100.14943422,\n",
" -69.54418782, 46.88879516, 134.096289 , -14.55383405,\n",
" -179.95938914, 225.17279229, 60.76504642, 57.22397523,\n",
" -94.85918515, 28.68265066, -79.56938322, 201.66647227,\n",
" 90.02854819, 139.16891708, -13.61567423, -70.23957781,\n",
" -94.05097344, 226.66298731],\n",
" [ 176.9299442 , -204.16869156, 42.96394837, 77.93554036,\n",
" -134.80736463, -50.24867752, -63.92793169, 119.57271671,\n",
" 175.67826009, -40.86379575, -96.03863531, -40.62004101,\n",
" 76.54067345, 41.83444837, 133.65652989, -120.9360261 ,\n",
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" -249.2859446 , -47.39040935, 25.86460187, 107.06110554,\n",
" 212.52041625, 61.93273195, -34.70081956, -160.76033122,\n",
" 89.64899414, -70.32752914, -148.34356336, 114.45870965,\n",
" 12.55867928, 126.4190959 , -125.38358036, 92.52968489,\n",
" 93.82026224, -15.62838449, -4.07572818, 69.11710357,\n",
" -107.92158745, 65.97042195, -91.38243615, 75.87487301,\n",
" 248.76335442, 69.90176564, 7.50349491, 191.84025899,\n",
" 64.55108526, -158.37987966],\n",
" [ 77.93554036, 61.08503681, -117.29456356, -95.24906514,\n",
" 137.19539914, -238.44814357, 149.76453866, 113.40359884,\n",
" -159.8916974 , -173.39125408, 75.18287928, -73.01464801,\n",
" -28.96362314, -142.66336945, -221.58790754, -127.87182443,\n",
" 96.54349268, -16.55680499, -55.06773966, 120.73779573,\n",
" 102.75266406, -61.22613335, 100.64263563, -85.57442217,\n",
" -188.56134133, -211.81498786, 165.70691507, 162.16863617,\n",
" -72.26162643, 127.80034533, 13.21888699, 4.02958789,\n",
" -67.49642312, 163.85228123, -104.89391328, 82.70248508,\n",
" 84.85595961, 93.51964817, 76.03165419, 5.50445257,\n",
" -112.89944656, -39.58946667, -132.49953524, 65.2317765 ,\n",
" -114.9677893 , -233.7213892 , 205.0376254 , -154.97842578,\n",
" 13.95631612, 111.4156631 ],\n",
" [ -29.71720974, 7.52688517, -7.56460768, -73.85779639,\n",
" 108.39749579, -28.80875511, 12.14460522, -195.34027233,\n",
" -230.09601164, 30.47270404, -8.2099174 , 39.81133376,\n",
" -60.91998176, 93.71061087, 115.77417806, 56.86087495,\n",
" -87.7435376 , 179.57849228, -76.46782804, 10.0405045 ,\n",
" 64.75235171, -158.26085361, 49.16013448, -91.68741792,\n",
" -30.61040471, -40.47036947, 121.38270589, 21.41813008,\n",
" 33.28490718, -68.04621533, -120.73679574, -139.17169412,\n",
" 86.43678156, 194.51379323, 160.11713798, -96.8025319 ,\n",
" -107.43290671, 80.24454182, -42.14056943, -113.24377149,\n",
" -76.77372293, -107.27432248, 39.45075076, 100.52842903,\n",
" 55.57852323, 66.21212486, 0.86878528, 143.3690695 ,\n",
" -255.45223973, 24.28593113],\n",
" [ 27.26797308, 75.51391739, 34.5505225 , 81.61792694,\n",
" 4.23405252, 145.5347292 , 156.60519 , -176.48493742,\n",
" 149.41950244, 100.25802184, 165.00075131, -177.99931003,\n",
" 50.27714487, -247.23185496, -149.64274744, -133.17860609,\n",
" 81.08188131, 59.30833615, -137.31627143, 200.18690097,\n",
" 76.18429524, 36.59953474, 32.82645048, -188.56134133,\n",
" -54.48470308, -39.25102788, 50.42205062, 76.16284135,\n",
" 30.95706648, 88.6103248 , -25.95497844, 4.97746359,\n",
" 19.11056101, 26.170731 , 173.33858383, 15.7437503 ,\n",
" -37.22398389, -44.26190726, 55.04013714, 183.61550544,\n",
" 82.95086041, -164.11659415, -203.67988559, 229.79671441,\n",
" -156.24294746, -74.6478942 , 120.73779573, 64.79320585,\n",
" -145.15995347, -50.30312817],\n",
" [ -77.00192376, 79.63120743, -61.05435758, 44.46381224,\n",
" -106.53156257, -173.54216503, -148.04902764, 155.75344567,\n",
" 160.13034951, -24.21238582, 11.97522071, -73.04114399,\n",
" -45.63504822, -54.37163111, -208.02108898, 152.06897699,\n",
" -233.27637551, -85.7450441 , -196.88637356, -45.951741 ,\n",
" -204.16869156, -17.72559448, -4.31385628, 80.96454585,\n",
" -113.93903702, -10.2363189 , 20.73310306, 48.68447248,\n",
" 177.74507754, 76.12455492, -244.37590404, 130.93079621,\n",
" 40.31825325, -10.91630628, 75.66920797, 18.58054609,\n",
" 135.79799918, -35.16626026, -151.32303854, -124.93733207,\n",
" 76.54067345, 133.5831648 , -181.12636083, 65.33762798,\n",
" -79.30441688, 248.76335442, 37.14793593, -184.56465374,\n",
" 42.59407506, -103.03150147]])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-15ec9d83-5e80-47fb-9291-0fd94db2266e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-15ec9d83-5e80-47fb-9291-0fd94db2266e' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (x1: 20, y1: 50)\n",
"Coordinates:\n",
" lat (x1, y1) float64 29.1 -19.87 47.64 -32.42 ... -20.05 89.89 15.25\n",
" lon (x1, y1) float64 -49.88 58.38 126.7 -46.92 ... -164.5 -47.29 -118.3\n",
"Dimensions without coordinates: x1, y1\n",
"Data variables:\n",
" field (x1, y1) float64 -20.78 38.51 174.4 -79.35 ... -184.6 42.59 -103.0"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds_indexer_2d = xr.Dataset({\n",
" 'latitude': (('x1', 'y1'), np.random.uniform(-90, 90, size=(20, 50))),\n",
" 'longitude': (('x1', 'y1'), np.random.uniform(-180, 180, size=(20, 50)))\n",
"})\n",
"\n",
"ds_sel = ds_2d.balltree.sel(\n",
" lat=ds_indexer_2d.latitude,\n",
" lon=ds_indexer_2d.longitude\n",
")\n",
"\n",
"ds_sel"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ds_indexer_2d.plot.scatter(x='longitude', y='latitude', c='k', alpha=0.7);\n",
"ds_sel.plot.scatter(x='lon', y='lat', hue='field', alpha=0.9);"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Example 3\n",
"\n",
"1-d coordinates (e.g., FESOM2), 1-d indexers"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
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"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
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" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
".xr-wrap {\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
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"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
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"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
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".xr-sections {\n",
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"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
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".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
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"\n",
".xr-section-summary-in:disabled + label:before {\n",
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"\n",
".xr-section-summary-in:checked + label:before {\n",
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"\n",
".xr-section-summary-in:checked + label > span {\n",
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"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
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"\n",
".xr-section-inline-details {\n",
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"\n",
".xr-section-details {\n",
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".xr-section-summary-in:checked ~ .xr-section-details {\n",
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".xr-preview {\n",
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".xr-array-in:checked ~ .xr-array-data,\n",
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".xr-dim-list li {\n",
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".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
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".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
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"\n",
".xr-var-name {\n",
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"\n",
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".xr-var-dtype {\n",
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"\n",
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".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
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"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
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".xr-attrs dt:hover {\n",
" overflow: visible;\n",
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"\n",
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".xr-var-data {\n",
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" background-color: var(--xr-background-color) !important;\n",
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"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
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"\n",
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"\n",
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" font-weight: normal;\n",
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"\n",
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"</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0f6acdce-d6e8-4d7d-b355-7d40c6ed3de7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0f6acdce-d6e8-4d7d-b355-7d40c6ed3de7' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>nodes</span>: 10000</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-94f5f716-5574-4fa1-9381-358f9778c8ef' class='xr-section-summary-in' type='checkbox' checked><label for='section-94f5f716-5574-4fa1-9381-358f9778c8ef' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(nodes)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>71.95 -29.75 ... 19.42 -42.49</div><input id='attrs-24dda76f-41c2-405c-b683-fcdb11487729' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-24dda76f-41c2-405c-b683-fcdb11487729' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a36bfbb-e21c-4d5c-a99e-315bff4d4b7e' class='xr-var-data-in' type='checkbox'><label for='data-7a36bfbb-e21c-4d5c-a99e-315bff4d4b7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([ 71.94893778, -29.7496501 , -18.64873578, ..., 19.51671963,\n",
" 19.41794104, -42.49310296])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(nodes)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-75.75 91.83 ... -35.96 -141.1</div><input id='attrs-066b1ef7-b609-4c40-bcec-a599c8699ef2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-066b1ef7-b609-4c40-bcec-a599c8699ef2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-075c7044-a3ae-436d-b937-bbda5965a220' class='xr-var-data-in' type='checkbox'><label for='data-075c7044-a3ae-436d-b937-bbda5965a220' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([ -75.75225376, 91.82983531, 61.01004549, ..., 129.69144896,\n",
" -35.96454615, -141.08902961])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-4c3e07f1-2d6b-4cc1-acb2-59313d5e1d2f' class='xr-section-summary-in' type='checkbox' checked><label for='section-4c3e07f1-2d6b-4cc1-acb2-59313d5e1d2f' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>field</span></div><div class='xr-var-dims'>(nodes)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.803 62.08 ... -16.55 -183.6</div><input id='attrs-d977ad1d-c933-4c9a-99cd-e9a12c06f647' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d977ad1d-c933-4c9a-99cd-e9a12c06f647' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aefbcd99-da19-4620-aeb3-06a9acf5de8f' class='xr-var-data-in' type='checkbox'><label for='data-aefbcd99-da19-4620-aeb3-06a9acf5de8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([ -3.80331598, 62.08018521, 42.36130971, ..., 149.20816859,\n",
" -16.54660511, -183.58213257])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-c2e77a6f-fa7e-46b1-a379-b123be6a5c71' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c2e77a6f-fa7e-46b1-a379-b123be6a5c71' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (nodes: 10000)\n",
"Coordinates:\n",
" lat (nodes) float64 71.95 -29.75 -18.65 37.3 ... 19.52 19.42 -42.49\n",
" lon (nodes) float64 -75.75 91.83 61.01 -94.46 ... 129.7 -35.96 -141.1\n",
"Dimensions without coordinates: nodes\n",
"Data variables:\n",
" field (nodes) float64 -3.803 62.08 42.36 -57.16 ... 149.2 -16.55 -183.6"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lat = np.random.uniform(-90, 90, size=10000)\n",
"lon = np.random.uniform(-180, 180, size=10000)\n",
"\n",
"field = lat + lon\n",
"\n",
"\n",
"ds_1d = xr.Dataset(\n",
" coords={'lat': (('nodes'), lat), 'lon': (('nodes'), lon)},\n",
" data_vars={'field': (('nodes'), field)},\n",
")\n",
"\n",
"ds_1d"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"ds_1d.balltree.set_index(['lat', 'lon'], transform=np.deg2rad, metric='haversine')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
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".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt, dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2 {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-191e9c4e-fc71-4dde-8711-09467a496544' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-191e9c4e-fc71-4dde-8711-09467a496544' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>points</span>: 50</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-676b6063-a0da-4816-874c-9587c95e4ae1' class='xr-section-summary-in' type='checkbox' checked><label for='section-676b6063-a0da-4816-874c-9587c95e4ae1' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-34.39 89.3 73.13 ... -56.83 79.88</div><input id='attrs-19b6c459-55e4-43ef-afee-b026b403bf9c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-19b6c459-55e4-43ef-afee-b026b403bf9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0018ebcd-3068-4c7a-9835-82dca03681bd' class='xr-var-data-in' type='checkbox'><label for='data-0018ebcd-3068-4c7a-9835-82dca03681bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([-34.39166781, 89.29837564, 73.13400508, -80.03439437,\n",
" 30.78998531, 28.49496671, 87.23030721, 76.48984356,\n",
" 0.22492407, -79.23269614, -67.2689356 , 26.93645565,\n",
" 37.54079204, -25.73802093, 53.15432477, 46.28692837,\n",
" -9.89189183, 47.62695996, -0.91494006, -8.96931757,\n",
" 10.02911939, -6.04742189, -63.13128724, 9.16033281,\n",
" 2.42739438, -83.93099413, -15.07936263, 22.59327039,\n",
" -87.14867223, 5.93712265, -73.95983194, 11.23645903,\n",
" 70.05478051, 50.92910986, -0.36646988, -44.0035559 ,\n",
" 13.32423266, 13.93732253, 45.59646959, 59.22324737,\n",
" -5.27907904, -57.26091628, -60.51688535, -59.27904638,\n",
" -47.47701387, 53.26570505, 0.25691062, 8.98047209,\n",
" -56.83407311, 79.88069256])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-70.24 -90.26 155.6 ... 63.35 101.9</div><input id='attrs-997faa97-ea91-45b0-aac8-d63f783c298b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-997faa97-ea91-45b0-aac8-d63f783c298b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a90410ea-31d9-4758-8f10-3847d184a1fe' class='xr-var-data-in' type='checkbox'><label for='data-a90410ea-31d9-4758-8f10-3847d184a1fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([ -70.24039249, -90.26280298, 155.64089198, -114.56337976,\n",
" -113.56505811, -19.48660332, -50.97445182, -83.79566032,\n",
" 149.03646012, 38.47089506, -125.8225873 , -113.55630515,\n",
" -81.2004939 , -118.9777122 , 163.35196594, 38.10050439,\n",
" 161.17643342, -134.71980091, -165.68251999, 91.90363676,\n",
" 131.94896751, -179.76298842, 126.59581061, -76.6687014 ,\n",
" 155.16838667, -121.33047678, -153.11869132, -134.5749824 ,\n",
" 167.22361811, -80.28409565, 16.53891301, -94.82109003,\n",
" 28.70102422, -150.56314284, 52.9373033 , 176.15108066,\n",
" 3.16497199, 168.55676078, 179.91631087, -116.98134756,\n",
" 29.07418055, -62.45817122, 18.46527846, -32.37248347,\n",
" 91.15787438, -34.34115086, 172.5438132 , 138.83760447,\n",
" 63.35265097, 101.92331225])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-6ce16c94-aae7-4e24-b09b-a2d91fa0b842' class='xr-section-summary-in' type='checkbox' checked><label for='section-6ce16c94-aae7-4e24-b09b-a2d91fa0b842' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>field</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-104.6 -0.9644 ... 6.519 181.8</div><input id='attrs-e1c3f696-d973-4ec0-b5e6-3d6bc75186c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e1c3f696-d973-4ec0-b5e6-3d6bc75186c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6086a5d4-0b1d-43ab-8ada-2e4c52ca65e3' class='xr-var-data-in' type='checkbox'><label for='data-6086a5d4-0b1d-43ab-8ada-2e4c52ca65e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([-104.6320603 , -0.96442734, 228.77489705, -194.59777413,\n",
" -82.7750728 , 9.00836339, 36.25585539, -7.30581676,\n",
" 149.26138419, -40.76180108, -193.0915229 , -86.6198495 ,\n",
" -43.65970186, -144.71573313, 216.5062907 , 84.38743276,\n",
" 151.28454159, -87.09284095, -166.59746005, 82.93431919,\n",
" 141.9780869 , -185.81041031, 63.46452337, -67.50836859,\n",
" 157.59578105, -205.26147091, -168.19805395, -111.981712 ,\n",
" 80.07494588, -74.346973 , -57.42091893, -83.584631 ,\n",
" 98.75580473, -99.63403298, 52.57083342, 132.14752476,\n",
" 16.48920465, 182.49408331, 225.51278046, -57.75810019,\n",
" 23.7951015 , -119.7190875 , -42.05160689, -91.65152985,\n",
" 43.6808605 , 18.92455418, 172.80072382, 147.81807656,\n",
" 6.51857786, 181.80400481])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-5a56ae9b-9f07-4de5-9fa5-ef3dca8d5cdb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5a56ae9b-9f07-4de5-9fa5-ef3dca8d5cdb' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (points: 50)\n",
"Coordinates:\n",
" lat (points) float64 -34.39 89.3 73.13 -80.03 ... 8.98 -56.83 79.88\n",
" lon (points) float64 -70.24 -90.26 155.6 -114.6 ... 138.8 63.35 101.9\n",
"Dimensions without coordinates: points\n",
"Data variables:\n",
" field (points) float64 -104.6 -0.9644 228.8 -194.6 ... 147.8 6.519 181.8"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds_sel = ds_1d.balltree.sel(\n",
" lat=ds_indexer_1d.latitude,\n",
" lon=ds_indexer_1d.longitude\n",
")\n",
"\n",
"ds_sel"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ds_indexer_1d.plot.scatter(x='longitude', y='latitude', c='k', alpha=0.7);\n",
"ds_sel.plot.scatter(x='lon', y='lat', hue='field', alpha=0.9);"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Example 4\n",
"\n",
"1-d coordinates (e.g., FESOM2), 2-d indexers"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
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" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
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".xr-wrap {\n",
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".xr-header {\n",
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".xr-header > div,\n",
".xr-header > ul {\n",
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".xr-section-item input {\n",
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".xr-section-item input + label {\n",
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".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: '►';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: '▼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt, dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2 {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a44cbef7-5b1e-49a9-8771-45054fa0fe56' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a44cbef7-5b1e-49a9-8771-45054fa0fe56' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>x1</span>: 20</li><li><span>y1</span>: 50</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1080d00d-c6a0-444b-928d-daea2b1382b0' class='xr-section-summary-in' type='checkbox' checked><label for='section-1080d00d-c6a0-444b-928d-daea2b1382b0' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(x1, y1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>28.41 -19.42 46.71 ... 89.92 18.29</div><input id='attrs-08603550-0984-4fe0-ad9f-0f9a36ed1c17' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-08603550-0984-4fe0-ad9f-0f9a36ed1c17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06a4df2d-40e4-444a-97fd-07dbcea1ce65' class='xr-var-data-in' type='checkbox'><label for='data-06a4df2d-40e4-444a-97fd-07dbcea1ce65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([[ 28.4104008 , -19.41557683, 46.71122596, -31.15800135,\n",
" -46.55293387, 51.71519895, -53.78200599, -78.44025375,\n",
" 26.71719469, 86.16679119, 49.3217787 , 60.96956477,\n",
" -88.43075576, -37.32105 , -7.2456091 , 79.19285039,\n",
" 88.37748226, -27.09473644, -46.12812092, 17.2217182 ,\n",
" -11.84613311, -13.17543878, -13.81210692, -70.87673446,\n",
" -64.07769922, 2.39977775, 39.02135868, 6.36576997,\n",
" 9.83212907, 34.25411111, 65.90770988, 10.56486232,\n",
" -40.65600419, -22.18305524, -75.03119562, -81.60980232,\n",
" -85.61872715, 36.86419448, -11.01560496, -11.65182162,\n",
" -87.73584452, -35.74679097, 7.92066755, 60.72344702,\n",
" -75.52316295, 33.9542803 , -54.99898103, 39.97159476,\n",
" 18.31755313, 83.60767295],\n",
" [-71.98501693, -16.06091425, 22.98216887, 34.12995977,\n",
" -23.18333043, 10.62309931, 65.7827468 , -51.27838892,\n",
" -60.64005363, 57.6543629 , 87.13772359, -14.95913964,\n",
" 36.23105984, -75.48992388, 33.62149058, -31.6562629 ,\n",
" 60.22894723, -5.21553523, -68.08784757, 35.71114344,\n",
" 16.12715799, -65.78184283, -67.88965977, -24.3690172 ,\n",
" -80.09006025, 68.19547765, -27.86610937, 88.09812431,\n",
" -45.80587861, 9.42694319, 82.6556834 , -7.41340287,\n",
" -6.22088835, 76.96209747, 82.22144485, -2.71468085,\n",
" -6.81248651, -6.60433571, 4.85036602, 28.1001216 ,\n",
" 2.67757621, -73.99756249, -10.62209478, -9.48188059,\n",
" -60.85779129, -4.50856823, -38.37857386, 46.34100049,\n",
" -42.42806563, 75.7415379 ],\n",
" [ 68.97885244, -76.78666195, 58.46295458, -41.18221371,\n",
" 79.85785384, 36.40383529, -23.74785401, 34.42982486,\n",
" -12.80731246, -73.02612708, -27.40366506, 40.17005717,\n",
" -20.7329486 , 85.98171083, 70.09875591, 68.35026332,\n",
" 30.09130841, 24.07030284, -69.65368588, 75.41193041,\n",
" -63.97604665, 19.45541755, -45.17268368, -88.92369376,\n",
" -46.77532314, 59.1491052 , 46.00169008, -14.14912258,\n",
" 88.36916323, -5.32958274, 9.46306349, -80.53705505,\n",
" 69.06995094, -10.09670994, 46.09222928, 72.48754068,\n",
" 59.29218632, -84.00490731, -67.5643271 , 41.20329389,\n",
" 68.81977743, -13.5554107 , 70.62734426, 59.07637337,\n",
" 74.18748402, 79.62618671, -8.14132555, 35.00488868,\n",
" 71.32390682, 60.69058282],\n",
" [-16.08886141, -89.93335483, -46.27170392, 0.33897032,\n",
" -38.59260722, -75.98127459, 53.26570505, -71.29235331,\n",
" -27.96589712, 46.63203364, -25.45517811, 63.55075829,\n",
" -61.32483586, 14.59319432, -37.13507661, 69.35386282,\n",
" 28.2564924 , 8.08292815, 77.60024381, 86.75363138,\n",
" -7.21793958, -5.60764572, 89.87729177, -32.29505154,\n",
" 64.64066133, 73.33979467, -76.10844179, 43.42885555,\n",
" -37.19274265, 85.13192012, 3.67523063, 70.48906374,\n",
" 16.76634888, 42.90872872, 3.74912226, 52.15608724,\n",
" -11.82673393, -18.49188059, 25.41606463, 72.16676119,\n",
" -87.42374382, -24.87988062, 27.9499798 , -71.0759639 ,\n",
" -76.7575481 , -61.32483586, -82.96345637, -22.3841104 ,\n",
" -88.36424239, -6.655446 ],\n",
" [-23.46361671, -9.02802114, -7.18366297, 51.71519895,\n",
" 81.98281452, 27.0940284 , 82.6556834 , 35.51832337,\n",
" -70.96995663, 43.06235417, -5.84746594, -77.85431397,\n",
" -23.64108418, 11.20618458, -19.36440268, 55.10402761,\n",
" 18.67785716, 47.37398656, -49.06166591, 28.4769613 ,\n",
" -86.17309836, 1.49860592, -32.41623475, 49.65285518,\n",
" 27.87918691, 56.39089438, 54.20799475, 41.92141026,\n",
" 32.88257557, -45.82911701, 79.04678278, 85.14809777,\n",
" 10.30008309, 62.94406572, 73.42448443, 12.56586855,\n",
" 71.5169505 , -64.73997976, -62.31848552, -74.60199058,\n",
" 77.96396 , -76.69559341, 36.54108916, -57.42587113,\n",
" -64.42633392, -83.85435408, 28.58783488, -85.03031987,\n",
" 25.02087662, 14.90897293],\n",
" [-38.23707886, -89.64262971, -58.12085748, 86.1671459 ,\n",
" -0.38614928, -26.69677703, 52.19170427, 42.38078369,\n",
" -55.63053768, -14.5761734 , -9.05983318, -29.96677613,\n",
" -82.81616281, 18.44483452, 78.01416763, -60.38654864,\n",
" 55.97728318, -11.65182162, -10.23711747, -59.4483985 ,\n",
" 6.28793681, -23.4925379 , 81.59219723, 36.55807791,\n",
" -61.47927014, 37.90734967, 88.7739765 , -2.51504888,\n",
" 71.14314089, -3.01631423, 67.27791571, -52.70725147,\n",
" -34.58527955, 85.16697145, -85.29883602, 66.05191386,\n",
" -65.08135581, 89.27707852, -59.79211779, -31.11198254,\n",
" -62.82044685, 29.97287971, -63.20087599, -28.27445924,\n",
" 13.40871472, 47.81119827, -44.60383253, 15.84095416,\n",
" -11.55339739, 21.79144393],\n",
" [ 50.3905381 , 27.46980236, -58.70775175, 1.42514213,\n",
" 8.92819649, 2.19025878, 46.19251398, 86.6055846 ,\n",
" 54.14854587, -4.76541706, -51.73613855, 2.07726603,\n",
" -48.91298752, 31.86821873, 77.94693807, -6.60433571,\n",
" -7.20148507, -51.32882686, 42.53719401, -51.64274823,\n",
" -83.36047718, 85.61601773, 2.14317753, 64.32588185,\n",
" -66.54544839, -83.89601884, -15.72121958, 67.81663541,\n",
" 71.45130607, 71.94010253, -38.90194286, -22.68864138,\n",
" 75.73399687, -78.43338211, -0.18158617, 36.82556463,\n",
" -17.91844819, -22.92506745, 12.42049576, -19.46002799,\n",
" -29.14700962, -81.56980958, 49.51423577, -29.04798576,\n",
" -25.01029273, -10.35887429, 15.64376433, 21.33111168,\n",
" -37.91612883, 88.84910149],\n",
" [-14.13349015, -30.39087295, -4.37256411, 54.70464202,\n",
" 4.42104894, 12.95119022, 64.32588185, -78.8690984 ,\n",
" 49.04826808, -87.60398996, 23.69790194, -70.49662499,\n",
" -3.94932101, 2.04510682, 73.12773857, 39.25412952,\n",
" -84.78643244, -44.21048553, -16.49692331, 59.18121122,\n",
" -66.03400171, -87.03350736, -78.8690984 , -25.75187788,\n",
" -16.81998752, -77.05779202, -51.75803113, 21.94593283,\n",
" 45.03467295, -55.15082461, -2.46304465, -52.21704524,\n",
" 31.40171539, -5.8868574 , -63.95657387, -75.1395415 ,\n",
" 42.68309814, -77.91883113, -4.06628639, 53.65783412,\n",
" 86.16679119, 28.82254961, -43.45633295, -85.19393341,\n",
" -70.49682696, 53.25518526, 67.10019119, 1.443657 ,\n",
" -14.93370761, -58.13584834],\n",
" [ 73.42448443, -39.02104804, -45.94957905, 43.28205644,\n",
" 75.68133937, 59.07681745, -14.51358975, 28.58783488,\n",
" 72.06057104, -50.19588051, -22.13307089, -23.49730815,\n",
" 6.43074032, -6.22829521, 12.09005915, 13.68865347,\n",
" -5.97202271, 75.44605479, -29.18103236, 68.67467603,\n",
" -75.78185317, -19.09968304, 24.70021578, 51.24292426,\n",
" -4.71071665, 58.46437176, 72.32320184, -82.1301279 ,\n",
" 73.47922437, -37.72183695, -73.04926609, 42.71171785,\n",
" -41.6325608 , 28.40164528, 47.71343758, -28.22026846,\n",
" 74.88335558, -81.58000977, 1.22173275, -70.09885026,\n",
" 81.03767681, 47.11585475, -42.40639597, 64.80831086,\n",
" 85.94977861, 83.39561709, 62.85453739, 55.99516086,\n",
" 14.13238562, 43.40972216],\n",
" [-70.49682696, -49.99989587, -15.66388796, -63.6257772 ,\n",
" 0.76203134, -41.07615769, 65.14081228, 24.16161588,\n",
" -85.48146466, -59.18597559, -55.43525867, -38.59260722,\n",
" 30.50268472, -22.82363061, -82.90236326, -52.80421686,\n",
" 68.74737611, -51.96229594, -32.06559541, 11.45279037,\n",
" -39.14927105, 76.89194754, 28.24209986, 12.99341762,\n",
" 21.65141138, -33.27173376, 54.14854587, -82.38069726,\n",
" -55.5059457 , -6.35589794, -34.04217458, 55.10402761,\n",
" 37.50013737, -7.82958998, 80.35229417, 59.97999064,\n",
" 79.62618671, 0.97336567, -56.68909044, 89.78697824,\n",
" -22.28588682, -6.68588228, -10.93604676, -60.58178206,\n",
" 42.05469184, -76.95417533, 9.86586071, -49.99989587,\n",
" 15.05258892, 19.08361684],\n",
" [-74.33079912, -82.28742659, 47.06704614, -33.02365363,\n",
" 19.84713865, 32.95701171, 79.13272884, -72.45635437,\n",
" 17.2217182 , 82.64290814, 21.74871945, -50.08454499,\n",
" 53.26570505, 34.42982486, 7.57509562, 17.21070469,\n",
" -67.64710587, 10.02892438, 16.16397137, -9.42578991,\n",
" 22.94793689, -48.37004758, -58.47093499, 77.40130703,\n",
" -34.18890571, 39.21557559, 71.59678749, -52.48928294,\n",
" -71.60395787, 2.20532501, -71.31160445, 12.70302541,\n",
" -15.48526758, 17.1608094 , -17.87155824, 88.50667325,\n",
" -1.11024613, 28.47984777, 1.97394309, 84.85956869,\n",
" 84.82933247, 72.83056705, -4.65799073, -53.93147176,\n",
" -50.70619724, -56.79240801, -84.29342541, -65.71472582,\n",
" 23.91311309, -70.24607865],\n",
" [ 44.22119691, 82.92586554, 32.29914918, 74.04512963,\n",
" -30.11838254, 31.85660003, -47.92250338, -4.98177114,\n",
" 69.90146335, 62.35690272, 59.07637337, 56.9448378 ,\n",
" -64.52293369, 52.40115683, -40.43757268, 65.92290214,\n",
" -30.75685071, -18.12735077, -23.4925379 , -82.35334693,\n",
" 18.14648975, -72.86711179, -44.21048553, -82.31389049,\n",
" 13.22025231, -34.04894165, -82.33366479, -36.15992206,\n",
" 35.87833074, -58.82225195, 0.25055164, -46.97414599,\n",
" -86.45296704, 21.31757904, 14.98011337, -65.50978747,\n",
" 65.90770988, -85.95883748, -53.86363218, 0.48056773,\n",
" 10.83423114, 10.56486232, 31.92010309, 66.47910636,\n",
" 81.38567266, 15.55447561, 58.8994307 , 50.51922536,\n",
" -39.69563345, -85.86694469],\n",
" [ 5.22653592, -46.80077297, 19.13923228, -78.5380232 ,\n",
" -57.05397241, 9.13738127, -71.22928191, -3.67398905,\n",
" 50.35862197, -73.56966382, -11.42357531, 17.91190385,\n",
" 9.29507796, -25.52386103, 74.56918212, -81.32930998,\n",
" -38.23707886, -46.60708511, -28.71113329, -59.74243454,\n",
" 1.9220299 , 7.27207701, -4.12310967, -57.79046733,\n",
" 4.82501833, 56.85248611, -47.26894818, 82.40161687,\n",
" 45.39528815, -42.2705821 , -74.11992581, -40.96973245,\n",
" -38.27552096, -41.96930985, -47.14695505, -1.56093912,\n",
" -19.86257354, -27.19339107, -38.6124062 , 67.44595914,\n",
" -74.91460966, -37.28514945, 6.14514145, -0.13029699,\n",
" 35.22138622, -46.23235114, -70.1553112 , -75.84848539,\n",
" -63.11368364, -87.95072743],\n",
" [ 78.41550955, 44.28855894, 20.02469552, 42.80983187,\n",
" -70.26971083, 31.87741805, 65.43200565, -53.62249856,\n",
" -36.05789566, -49.46380304, -59.59477903, 42.13233031,\n",
" -25.6300876 , 21.79144393, -34.24140619, -82.94046419,\n",
" -74.67593906, 8.29255361, -70.37446647, 0.61071302,\n",
" 58.29056023, -22.94188115, 83.19479051, 50.36971921,\n",
" 42.8557208 , 50.51922536, -45.94957905, 81.51315627,\n",
" -88.63704144, 77.17219069, -4.66864126, 41.15507345,\n",
" 83.77903596, 31.26374293, 74.56918212, 23.88193343,\n",
" -69.59718428, 64.53433835, -80.15715297, 82.56326488,\n",
" -9.97544911, -5.82167929, -28.64923777, 84.89208273,\n",
" 88.48518326, -17.61933953, 66.96811605, -87.33152748,\n",
" 19.41794104, -62.31848552],\n",
" [ 42.52456468, -68.80767508, -75.13735452, 1.84619774,\n",
" -26.18673762, -8.04559318, -50.0735455 , 10.48481785,\n",
" 54.32066668, -5.49316271, -68.79916793, -18.49188059,\n",
" 9.64655229, 26.77660291, 28.33627279, 85.122207 ,\n",
" 26.70156001, 9.60320177, 7.0750584 , 34.48183802,\n",
" 63.51525505, -19.83900012, -35.88568498, 27.8440957 ,\n",
" 49.20451434, -2.80597301, -87.95072743, 79.38186501,\n",
" -52.44988453, 66.36283537, -82.87355791, -14.29643456,\n",
" 45.77773782, -58.13584834, 32.32189349, -84.03512526,\n",
" -12.87205556, 81.10911041, 64.75489383, -12.56077694,\n",
" 16.15246646, 10.24039947, -74.72671936, 59.41553295,\n",
" -18.45461572, 8.39043364, -56.05057777, 83.36806826,\n",
" 13.21617454, 46.34100049],\n",
" [ 50.13108923, -86.52150388, 1.38682184, 58.06705863,\n",
" -36.82108839, 46.13203137, 89.99675632, 21.18539735,\n",
" 41.64181346, -82.58189616, -55.03777907, 47.78596926,\n",
" -31.61559718, -68.83328472, 18.96414636, 38.95233693,\n",
" 83.21438276, 66.66564782, 37.04299847, -15.69243199,\n",
" -71.59126213, -20.86677376, -29.8711438 , 81.55511058,\n",
" 76.47950202, 48.16413028, 20.83298383, 10.49941723,\n",
" -10.71334439, 76.37156573, -21.90763338, 32.68085125,\n",
" -65.9724294 , -36.33120539, 4.64420766, -13.17543878,\n",
" 22.52644315, 38.60710426, 69.07836047, 45.71020108,\n",
" 50.27188757, -27.62817026, 13.21617454, 20.9721639 ,\n",
" 82.8386946 , -76.54671576, 52.37768694, 57.22517871,\n",
" -24.64192021, -53.20721758],\n",
" [ 58.22826839, 16.38938055, -27.72845367, -2.64249259,\n",
" 18.96414636, -70.9288681 , 24.11498761, -20.13361873,\n",
" -50.58713213, -17.36559643, 24.53201079, 28.82640877,\n",
" 10.56486232, -26.47531659, -44.29423554, -34.04217458,\n",
" -16.42537701, 15.55447561, 30.3653847 , -33.88079631,\n",
" 1.79153154, 28.81237523, -73.11716891, -71.90698198,\n",
" -19.23876074, -65.5961346 , 56.60979832, 31.54473728,\n",
" -33.1091925 , 60.96237299, -17.8585405 , -26.6524637 ,\n",
" 6.8629032 , 40.07242789, -88.92369376, -20.50019143,\n",
" 10.61348293, -42.33468025, 4.39440318, -67.24596663,\n",
" 53.5961381 , 72.3196461 , 30.2611582 , 43.61309307,\n",
" -76.53224153, -85.84200528, 33.51420068, -52.45850302,\n",
" -4.23878088, -43.45633295],\n",
" [-25.53933507, 24.98975868, -70.32424327, -15.81438398,\n",
" 24.37276075, -26.12017474, -33.99169125, -81.78261044,\n",
" -70.30584297, 85.30922392, -77.83533387, 27.3159317 ,\n",
" 51.57198746, 62.40764947, -63.6257772 , -23.34374074,\n",
" 18.67785716, 69.52140209, 73.32793398, 28.49496671,\n",
" 48.16413028, -78.29917744, -4.66864126, -13.68832489,\n",
" -55.85607383, 40.87435325, -45.17268368, -47.26692422,\n",
" 17.73908855, -75.51360911, -53.37667133, -82.54456053,\n",
" 51.39831306, 43.56246302, 50.19400165, -33.17732151,\n",
" 57.40984464, -28.53461849, -80.42844193, -68.70571847,\n",
" 37.46168826, -5.26046299, 24.84922138, 72.18676921,\n",
" -38.45182931, -72.99703479, -19.41812327, 59.69789946,\n",
" -85.30000128, 3.99067826],\n",
" [-83.58153599, 58.06705863, 46.32280281, -66.00425617,\n",
" 59.07681745, 72.48754068, 22.32456531, -81.04592478,\n",
" 57.33773652, 81.98281452, -14.02013891, -66.91130933,\n",
" -80.75969917, -80.10207577, -58.96044792, -23.4925379 ,\n",
" 66.35716154, 63.2067152 , -48.26864549, 44.63339665,\n",
" 28.40164528, 46.40255934, 11.43073943, -19.23876074,\n",
" 0.31699078, -9.97544911, -40.43757268, 80.27702273,\n",
" -24.18063528, -68.70212361, -64.19737982, -61.69835432,\n",
" -43.04389014, -68.57025715, 25.36426662, -20.20999079,\n",
" 46.63745853, -0.74205108, -49.83366255, 89.27707852,\n",
" -71.1463575 , -63.77432023, -30.72441123, 56.38569661,\n",
" -35.94455751, -37.0977063 , -31.34297294, 22.6170005 ,\n",
" -45.83698108, -58.82225195],\n",
" [ 60.6095376 , -81.27950517, -23.64108418, -86.97584608,\n",
" 12.55558494, -67.5643271 , -54.15069847, 63.00795231,\n",
" 9.56933966, 70.08771245, -18.76247292, -69.03226233,\n",
" -60.31272638, 50.09909535, -43.777648 , 33.57105278,\n",
" -67.06974135, -55.86593619, -84.78895512, 59.86030254,\n",
" -85.62509231, -78.22395315, -46.97414599, -40.12218071,\n",
" -67.94426551, 25.14347291, -73.40354842, 75.56486594,\n",
" 85.33059825, 7.16349242, -81.1925775 , -42.15457421,\n",
" -61.60594591, 31.17296266, 20.02469552, -78.43338211,\n",
" 41.6431251 , 77.63235198, -23.24135987, -34.04217458,\n",
" -35.15833355, 27.34386683, -28.93528248, -57.68761516,\n",
" 11.72049861, 82.8386946 , -65.0163445 , -19.47499078,\n",
" 89.92169774, 18.29479609]])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(x1, y1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-49.38 60.24 ... -122.3 -119.9</div><input id='attrs-7fd652c1-c1f4-4deb-aba5-d61db5a1d71f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7fd652c1-c1f4-4deb-aba5-d61db5a1d71f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-125c2a5c-b2cf-4d4b-a69f-385d04dd0363' class='xr-var-data-in' type='checkbox'><label for='data-125c2a5c-b2cf-4d4b-a69f-385d04dd0363' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([[-4.93777406e+01, 6.02359635e+01, 1.29042398e+02,\n",
" -4.60887999e+01, 3.71039044e+01, 1.69136170e+01,\n",
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" 3.62250345e+01, -2.61114932e+00, 1.16432641e+02,\n",
" 1.73745597e+02, 1.49452669e+01, 1.59555531e+02,\n",
" 1.03747791e+02, 7.61674395e+01, -2.48901462e+01,\n",
" 4.30132133e+01, -1.04946273e+02, 1.26188960e+02,\n",
" 4.13744511e+01, -7.37412148e+01, 1.72890250e+01,\n",
" 1.06250545e+02, -3.78345256e+01, 5.67972284e+01,\n",
" -1.06968451e+02, -1.09129336e+02, -1.57491653e+02,\n",
" -8.90194651e+01, 1.14892318e+01, -1.19509632e+02,\n",
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" 1.00215665e+02, 1.61627417e+02, -9.16805807e+01,\n",
" -4.90287378e+01, 1.57388890e+02, 1.75931096e+02,\n",
" -1.79794933e+02, 9.85800564e+01],\n",
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" 3.24654743e+01, -5.87656711e+01, -2.00105926e+01,\n",
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" -6.45119435e+01, 1.18514776e+02, 1.42815710e+02,\n",
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" -1.41600728e+01, 4.67637011e+01],\n",
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" 1.73297601e+02, 2.00226042e+01, -1.05633547e+02,\n",
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" 1.70594361e+02, 1.61678178e+02, -1.86080135e+01,\n",
" 1.12207386e+01, 1.78272504e+01, 1.37339498e+02,\n",
" -1.25334249e+02, 1.53710962e+02, 5.48486204e+01,\n",
" 5.22031472e+01, -1.95333934e+01, -1.12860675e+02,\n",
" -2.40132457e+01, -9.70082860e+01, 7.51046719e+01,\n",
" 5.69099410e+01, -1.90685526e+01, -1.06613339e+02,\n",
" 2.09847845e+00, -1.60849658e+02, -4.40451832e+01,\n",
" -6.37238367e+01, 3.08944259e+01, -1.59161469e+02,\n",
" 1.58706709e+01, 1.76077759e+02, -4.77461421e+01,\n",
" 1.07376628e+02, -1.51078361e+02],\n",
" [-4.63172218e+01, 1.61573689e+02, 5.45683180e+00,\n",
" 7.91815337e+01, 6.93179263e+01, 6.66790452e+00,\n",
" -3.43411509e+01, -7.54636178e+01, 5.20114792e+01,\n",
" -4.90567184e+01, 1.65673515e+02, 7.45386199e+01,\n",
" -5.75399937e+01, -6.44349246e+01, 1.71332039e+02,\n",
" 1.26205613e+01, -1.27260537e+02, 4.50207076e+01,\n",
" -1.12099074e+02, -1.50482059e+02, 1.68955965e+02,\n",
" -5.90876048e+01, 1.04253283e+02, -1.39318561e+02,\n",
" 1.20853663e+02, -3.75055174e+01, -1.03846532e+02,\n",
" -8.43115668e+01, 9.71995276e+01, 1.77870881e+02,\n",
" 1.16108095e+02, -1.05927064e+02, -1.02215060e+02,\n",
" -7.58893657e+01, -3.27830274e+01, 1.11031432e+02,\n",
" -1.69416917e+02, -1.40414775e+02, 1.57116884e+02,\n",
" -1.29013278e+01, -1.18511572e+02, -4.95606063e+01,\n",
" -1.67766994e+02, 5.56659076e+01, -6.99655105e+01,\n",
" -5.75399937e+01, 9.92860170e+01, -7.31337594e+01,\n",
" -7.56952491e+01, 8.14578381e+01],\n",
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" -1.49868838e+02, 1.77107195e+01, -1.40847083e+02,\n",
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" -1.13486733e+02, 8.13074993e+01, -1.47928118e+02,\n",
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" -1.08360125e+02, 1.24903883e+02, 1.24299934e+02,\n",
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" -1.37801725e+02, 5.95861369e+01, -4.01584429e+01,\n",
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" -1.37885857e+02, 1.01220287e+01, 1.35012746e+02,\n",
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" -1.59831818e+01, 9.06273840e+01, -1.79796886e+02,\n",
" -1.03526692e+02, 7.66239613e+01, 1.17105802e+01,\n",
" 1.43828814e+02, -4.30296929e+01, 1.17286854e+02,\n",
" 1.04274101e+01, -1.78014327e+02, 1.62268248e+02,\n",
" 8.96283869e+00, -7.57312278e+01, -5.95540604e+01,\n",
" 2.97106944e+01, 5.95584046e+01, -9.43581038e+01,\n",
" -9.50077906e+01, 1.20031693e+02, 1.20826676e+02,\n",
" 5.06442842e+01, -8.46034904e+01, -1.63624424e+01,\n",
" 8.18067354e+01, -1.27408104e+02, -1.14705595e+01,\n",
" -1.14638745e+02, 3.51356589e+01, 1.27202718e+02,\n",
" 1.56577470e+02, 4.45466721e+01, -1.27537817e+02,\n",
" -1.49386429e+01, -1.56078047e+02, 1.08882207e+02,\n",
" 1.77111274e+02, 1.06633924e+02],\n",
" [-1.16380119e+02, -3.17588518e+01, 9.75119025e+01,\n",
" -5.15580731e+01, -1.51178732e+01, -5.61806203e+01,\n",
" -1.62109802e+02, 2.67755087e+01, -7.99732468e+01,\n",
" 1.50137264e+02, 7.44396851e+01, 1.40947663e+02,\n",
" 1.45279015e+02, -5.54406171e+01, -7.75507607e+01,\n",
" -4.88930069e+01, -1.36351552e+02, 6.08716123e+01,\n",
" 1.70192200e+02, 1.58962733e+02, -1.57945771e+02,\n",
" -1.14799369e+02, -1.06695388e+02, -1.95987269e+01,\n",
" 3.33899816e+01, 5.49478654e+01, 5.40518059e+01,\n",
" 1.75620943e+01, -1.71764181e+02, -1.37169279e+01,\n",
" -3.46250013e+01, 1.08379493e+02, 6.47013239e+01,\n",
" 4.92281439e+01, 1.15724468e+02, -1.33187046e+02,\n",
" -1.34326005e+02, 5.93229244e+01, 1.72800118e+02,\n",
" 1.10760946e+02, 6.18607683e+01, -1.20346520e+02,\n",
" 2.95048882e+01, -2.20420588e+01, -1.18336842e+02,\n",
" -7.35432049e+01, 1.54854966e+02, -8.55969814e+00,\n",
" 5.09683776e+01, -9.07656065e+01],\n",
" [-1.27537817e+02, -4.36580837e+01, 1.69267814e+02,\n",
" 1.78934701e+02, 1.23667724e+02, 1.63276015e+02,\n",
" 5.78641273e+01, 1.61084850e+02, -1.36210876e+02,\n",
" 1.59037218e+02, -5.87957634e+00, 6.93179263e+01,\n",
" 1.08098129e+02, 4.54408093e+01, 1.38140080e+02,\n",
" 1.69452531e+02, -2.66607682e+01, -3.37465171e+01,\n",
" -1.41184571e+02, 4.02493817e+01, 4.17445695e+01,\n",
" 5.38868213e+01, -5.58267255e+00, 8.33817925e+01,\n",
" 4.11704865e+01, -2.56891079e+00, -1.30753605e+02,\n",
" 1.70880531e+02, 8.27374754e+01, -8.92610353e+00,\n",
" -9.23634407e+01, 1.64102271e+02, 1.60142337e+02,\n",
" -6.81045760e+01, -1.09992018e+02, 1.25514414e+01,\n",
" 1.58706709e+01, -1.30563352e+02, -1.48295998e+02,\n",
" 8.43674953e+01, -1.08816218e+02, -1.71175893e+02,\n",
" -8.72049378e+00, 3.12698738e+01, 1.32210236e+02,\n",
" -1.30703999e+02, 1.63809922e+02, -4.36580837e+01,\n",
" -6.17753029e+01, -8.31096303e+00],\n",
" [ 2.13245445e+00, 9.81182848e+01, -7.73085608e+01,\n",
" 7.77677009e+00, -1.36739191e+02, -1.20287163e+01,\n",
" 1.31460472e+02, -5.58760472e+00, 1.49452669e+01,\n",
" 1.23029997e+00, -3.42032830e+01, 3.58864036e+01,\n",
" -3.43411509e+01, -1.40407588e+02, -3.93968269e+01,\n",
" 1.55270643e+02, 9.70259975e+01, 1.66382425e+02,\n",
" 1.73598442e+02, 3.48890097e+00, -4.23984313e+01,\n",
" -4.76238544e+00, 1.34575792e+02, 3.79483199e+00,\n",
" -1.25187609e+02, 1.32307392e+02, 1.44071979e+02,\n",
" -1.52087622e+02, -1.20303230e+02, -1.18252029e+02,\n",
" -1.93654338e+01, -5.27767837e+00, 1.66325723e+02,\n",
" -1.76526031e+02, 1.22580184e+02, 1.16374345e+02,\n",
" -9.32147259e+01, -6.97909691e+01, 1.26021024e+02,\n",
" -2.65314684e+00, 1.22453921e+02, -1.78048558e-01,\n",
" 5.94966928e+01, -8.47254404e+01, -4.75686513e+01,\n",
" -1.66659949e+02, 4.32140742e+01, -7.04400748e+01,\n",
" 1.61362689e+02, 1.14603525e+02],\n",
" [ 8.68349176e+01, -9.30462043e+01, 1.69892660e+02,\n",
" 1.12049699e+02, -1.27323354e+02, 4.70009185e+01,\n",
" 3.54978346e+01, 1.66403946e+02, 6.15448540e+01,\n",
" 1.21317192e+02, 3.08944259e+01, -8.06144561e+01,\n",
" -1.41905842e+02, 1.01604926e+02, 8.92242595e+01,\n",
" -1.26902655e+02, 2.22895167e+01, 1.78696312e+02,\n",
" -1.13486733e+02, -1.76455869e+02, 2.01886530e+00,\n",
" 8.48531091e+01, 1.17105802e+01, -3.24395243e+01,\n",
" -7.74775467e+01, -1.55033728e+02, 1.06681300e+02,\n",
" -1.75743002e+02, 5.61709528e+01, 8.22607027e+00,\n",
" -9.86327831e+01, 4.32852579e+01, -3.88479201e+01,\n",
" 7.33697716e+01, -1.06261175e+02, 1.46321392e+02,\n",
" 1.06250545e+02, 1.14811484e+01, -4.08963318e+01,\n",
" -4.91957203e+01, 2.73481383e+01, -3.78345256e+01,\n",
" 5.09313192e+01, 6.83684155e+01, -5.74087259e+01,\n",
" -3.18986647e+01, 1.45856487e+02, 1.46159649e+02,\n",
" -1.77565647e+02, 1.72860388e+01],\n",
" [ 1.11378734e+02, -8.08721274e+01, -4.42234494e+00,\n",
" -1.00794538e+02, 1.62515620e+02, -1.61955883e+02,\n",
" -1.08362972e+02, 1.13174738e+02, -1.09783046e+02,\n",
" 1.35559522e+02, 8.95235923e+01, 2.03254753e+01,\n",
" -5.18772540e+01, -6.80856080e+01, -4.78372232e+01,\n",
" 1.11769098e+02, -2.74351417e+01, -8.67867819e+01,\n",
" 1.47700679e+02, -1.68240004e+02, -1.53595894e+02,\n",
" 6.27681072e+01, 2.25974207e+01, 5.65190652e+01,\n",
" -1.63695740e+02, 1.51784011e+02, 7.63245934e+01,\n",
" -5.76118112e+01, -6.36203542e+01, -1.11081487e+02,\n",
" -1.09226397e+02, -1.45753925e+02, 1.14230744e+02,\n",
" -1.57547336e+02, 6.12497286e+01, 4.88170981e+01,\n",
" -1.08682863e+01, -6.60132441e+00, -3.51532302e+00,\n",
" 5.32406231e+01, 9.20945956e+01, -8.60596158e+01,\n",
" -2.68859695e+01, -1.60084318e+02, 6.29483108e+01,\n",
" -8.25895896e+01, 1.45296118e+02, 2.83288261e+01,\n",
" 1.31776485e+02, -1.45620064e+02],\n",
" [ 5.63640699e+01, 1.13014909e+01, 5.64944577e+01,\n",
" -1.03345523e+02, 1.62749058e+02, 4.36851481e+01,\n",
" 1.98722953e+00, 4.46362112e+01, -1.62789487e+02,\n",
" -6.57031378e+00, -1.40065061e+02, -1.68073141e+01,\n",
" -4.36628100e+01, -9.61813797e+01, 1.77174634e+02,\n",
" 2.84956174e+01, 3.63449999e+01, -6.51386761e+01,\n",
" -1.35843992e+02, 4.85877867e+01, -1.45666684e+02,\n",
" 7.81784944e+01, 1.42340637e+02, 1.06075219e+02,\n",
" 8.81353284e+01, 1.46159649e+02, 9.75119025e+01,\n",
" -1.64929110e+02, 6.35540178e+01, 8.17905652e+01,\n",
" 5.66373024e+01, -8.10001826e+01, -1.84998130e+01,\n",
" -1.06188274e+01, -4.78372232e+01, -8.39157702e+01,\n",
" 1.23742793e+01, 6.28314086e+01, 1.67157879e+02,\n",
" -8.71335770e+00, -2.87563690e+01, 6.91350908e+01,\n",
" 1.05047243e+02, -5.13268419e+01, -1.76557057e+02,\n",
" 9.93605715e+01, 7.28569595e+01, 1.10015304e+02,\n",
" -3.59645461e+01, -1.21129930e+02],\n",
" [ 3.25230405e+01, 6.30462821e+00, -1.23107790e+02,\n",
" -7.32411752e+01, 1.45045102e+02, 1.65067762e+02,\n",
" 2.15170826e+00, 1.77778254e+02, 4.81796353e+01,\n",
" -1.38478852e+02, 7.52395077e+01, -1.40414775e+02,\n",
" 1.46055825e+02, -6.78485917e+01, -2.46693518e+01,\n",
" -1.22255454e+02, -1.06282072e+02, -2.96615697e+01,\n",
" -1.74190935e+01, -7.14015658e+01, -1.70937182e+02,\n",
" -6.28491620e+01, 6.80156884e+01, 1.36405557e+02,\n",
" -1.64628761e+02, 1.56594997e+02, -1.45620064e+02,\n",
" 2.01043618e+01, 3.51398701e+01, 1.57592578e+02,\n",
" -1.94815707e+01, -8.58409268e+01, -1.18247158e+02,\n",
" 1.06633924e+02, 1.02459633e+02, 7.23897535e+01,\n",
" -1.65067063e+02, 1.39310194e+02, -6.98311882e+00,\n",
" 6.70950314e+01, -1.09627695e+02, 1.90379955e+01,\n",
" -2.15025086e+00, 1.39847638e+02, 1.05082039e+02,\n",
" 1.29615818e+02, 4.27031458e+01, -1.55269741e+02,\n",
" -1.05694879e+02, -1.79745779e+02],\n",
" [ 1.28095602e+02, -1.09201049e+02, 4.20260731e+01,\n",
" 1.81032934e+01, -9.92234404e+01, -9.17673191e+01,\n",
" -4.02560340e+01, 9.99816939e+01, 1.34989338e+02,\n",
" 3.65073562e+01, -3.90473149e+01, -9.00189246e+01,\n",
" 1.11887217e+02, 1.12034790e+02, 1.14777315e+02,\n",
" -1.62171617e+02, -1.45265742e+02, -1.26587840e+01,\n",
" 7.87043003e+01, -1.74386512e+02, -1.72975200e+02,\n",
" -2.96097933e+01, 5.44816578e+01, 3.16409659e+01,\n",
" 1.37041800e+02, 1.65092169e+01, -5.77217704e+01,\n",
" -1.72665898e+02, 1.00501593e+02, -1.40536439e+02,\n",
" -1.24865879e+02, 8.03911367e+01, 7.53947039e+01,\n",
" 1.61638036e+02, -1.31050107e+02, 1.03747791e+02,\n",
" 6.91544898e+01, -5.53626100e+01, -7.80121533e+01,\n",
" 2.35798299e+01, -1.51240901e+02, 9.42133461e+01,\n",
" -1.05694879e+02, 5.17415791e+01, 1.65784057e+02,\n",
" 1.45640479e+02, -4.39511333e+01, 1.35489253e+02,\n",
" 8.96245288e+01, -1.04771974e+02],\n",
" [ 1.97996707e+01, 4.37283828e+01, -8.93185364e+01,\n",
" -9.08010659e+01, 1.14777315e+02, -1.68899119e+02,\n",
" 1.25353361e+02, 1.31353692e+02, -1.10428419e+02,\n",
" -1.54655929e+02, 5.17627280e+01, -1.05236763e+02,\n",
" -3.78345256e+01, -1.15703179e+02, 1.78378079e+02,\n",
" -9.23634407e+01, 1.11235096e+02, -3.18986647e+01,\n",
" -8.45535188e+01, 1.53586845e+02, 9.79465703e+01,\n",
" -8.83156391e+01, 1.74857486e+02, -1.56264950e+01,\n",
" -1.70160357e+02, -1.45355792e+02, 1.09075526e+02,\n",
" 1.32048309e+02, -3.51921574e+01, 6.66942739e+01,\n",
" 3.08771551e+01, 2.68125355e+01, -7.43302857e+01,\n",
" 1.24071123e+02, -1.86080135e+01, 1.01364985e+02,\n",
" 7.39282179e+01, 1.34461350e+02, 7.24880676e+01,\n",
" 7.47994945e+01, -1.62506480e+02, -1.09224748e+02,\n",
" -1.61680114e+02, 2.19796237e+01, -3.75015619e+01,\n",
" -1.49162335e+02, 1.73106475e+02, -1.00166407e+02,\n",
" 1.99245703e+01, 1.56577470e+02],\n",
" [-5.48229213e+00, -1.55812381e+01, 6.20271010e+01,\n",
" -5.53455564e+01, 8.36735468e+01, -3.29922395e+00,\n",
" 4.83446724e+01, -1.14171517e+02, -1.59142046e+02,\n",
" -4.37601513e+01, 6.88919681e+01, 1.22181596e+01,\n",
" -1.10803768e+02, 2.69962344e+01, 1.78934701e+02,\n",
" 8.15694482e+01, -1.09592994e+02, 1.07450540e+02,\n",
" -1.47016051e+02, -1.94866033e+01, 1.65092169e+01,\n",
" -8.40820049e+01, 5.66373024e+01, -7.85442202e+01,\n",
" 2.75839570e+01, -7.92054124e+01, 1.61678178e+02,\n",
" 6.64271920e+01, 1.10164351e+01, 6.40802413e+00,\n",
" -6.77130975e+01, -6.01022450e+01, 3.40794143e+01,\n",
" 1.47846475e+02, 1.11029718e+02, -6.21726922e+01,\n",
" -1.64357968e+02, 1.08284421e+02, 3.80767133e+01,\n",
" -4.45851217e+01, -1.12317878e+02, -9.99452106e+01,\n",
" 1.41224249e+01, 2.85986188e+01, 9.56909078e+01,\n",
" 1.39614217e+02, 2.08412624e+01, 8.55700230e+01,\n",
" -1.74095768e+02, 2.25086658e+01],\n",
" [ 1.15365427e+02, 1.81032934e+01, -9.95919892e+00,\n",
" 1.47473747e+02, -5.61806203e+01, 7.51046719e+01,\n",
" 1.34174878e+02, -9.83243960e+01, 9.29285141e+01,\n",
" 2.57585872e+01, 1.78852256e+02, -1.16253214e+02,\n",
" 1.30572463e+02, -1.68104080e+02, -9.17889893e+01,\n",
" -1.13486733e+02, 1.38760717e+01, -6.29008897e+00,\n",
" -9.00562683e+01, 1.54238048e+02, 4.92281439e+01,\n",
" -7.49575197e+00, 2.19937722e+01, -1.70160357e+02,\n",
" -5.86401434e+01, -2.87563690e+01, 8.92242595e+01,\n",
" -5.25631028e+00, 5.64010084e+01, 1.55269662e+02,\n",
" 4.25843608e+01, 6.94539340e+01, 6.05803448e+01,\n",
" 9.89810854e+01, 1.51553493e+02, 3.59830980e+01,\n",
" -7.90621184e+01, -4.27740531e+01, 1.07719291e+02,\n",
" 8.59067582e+01, 1.51253446e+02, -1.02197769e+02,\n",
" -1.71007029e+02, 1.72153654e+02, -1.20465562e+02,\n",
" -3.78676974e+01, 1.52793262e+02, 4.57388774e+01,\n",
" -1.02378072e+02, 8.22607027e+00],\n",
" [-1.34367031e+02, 1.65259622e+02, -3.94091885e+01,\n",
" 1.29795659e+02, -1.18519915e+02, -1.06613339e+02,\n",
" -9.39451948e+01, 9.28186316e+01, 1.47177531e+02,\n",
" -9.02307022e+01, 3.52222287e+01, -5.51850686e+00,\n",
" 1.51714232e+01, -1.08521405e+02, -1.63555524e+02,\n",
" 1.17226989e+02, -1.68957084e+02, -3.01527458e+01,\n",
" -1.07727401e+02, -1.01658902e+02, -1.13072412e+02,\n",
" 5.94318919e+01, 4.32852579e+01, 1.20646254e+02,\n",
" -4.44789908e+01, -3.81874365e+01, 9.33141906e+01,\n",
" -2.58885367e+01, 9.78176390e+01, 6.81043265e+01,\n",
" -1.66814416e+02, 1.72574337e+02, 9.97347761e+01,\n",
" -3.95855191e+01, 5.64944577e+01, 9.77969756e+01,\n",
" 9.08699820e+01, -1.11948529e+02, -1.30490000e+02,\n",
" -9.23634407e+01, 1.09968728e+02, 1.02036971e+02,\n",
" -1.52815700e+02, 1.21470760e+02, -8.72705187e+01,\n",
" 1.65784057e+02, 1.04809935e+02, -1.63734239e+02,\n",
" -1.22298616e+02, -1.19948796e+02]])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-2560ea9a-3044-4f7a-a102-063b07672151' class='xr-section-summary-in' type='checkbox' checked><label for='section-2560ea9a-3044-4f7a-a102-063b07672151' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>field</span></div><div class='xr-var-dims'>(x1, y1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-20.97 40.82 ... -32.38 -101.7</div><input id='attrs-b1a64295-8832-4807-8bc5-b5c1406470f1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b1a64295-8832-4807-8bc5-b5c1406470f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-129f3042-fa4f-4bf9-b0cb-3930652595c6' class='xr-var-data-in' type='checkbox'><label for='data-129f3042-fa4f-4bf9-b0cb-3930652595c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([[-2.09673398e+01, 4.08203866e+01, 1.75753624e+02,\n",
" -7.72468012e+01, -9.44902943e+00, 6.86288159e+01,\n",
" -1.03482297e+02, -2.15532584e+02, -1.66656032e+01,\n",
" 1.21302450e+02, 2.13861776e+02, 1.49938736e+01,\n",
" -1.34464014e+02, 1.15090953e+02, -1.43235596e+01,\n",
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" -3.71332467e+01, -7.95805125e+01, -2.00583679e+01,\n",
" -1.03440351e+01, -3.69197278e+01, -1.07421927e+02,\n",
" -8.26881622e+01, 3.21300034e+01, 1.64249652e+02,\n",
" -1.15424247e+02, 1.53789024e+02, -2.33570791e+02,\n",
" 9.94862269e+01, -1.73100144e+01, 2.23955413e+02,\n",
" -1.02355129e+02, -1.00137361e+02, -7.24694203e+01,\n",
" 4.84980754e+01, 1.34781526e+02, -1.16453717e+01,\n",
" -1.77939118e+02, 2.20419304e+02, 5.77717750e+01,\n",
" 5.45342544e+01, -9.34752287e+01, 2.92783949e+01,\n",
" -7.68769702e+01, 1.99263171e+02, 8.66274232e+01,\n",
" 1.38006251e+02, -1.33474319e+01, -7.19016731e+01,\n",
" -9.24787049e+01, -1.33404779e+02],\n",
" [ 1.78226691e+02, -1.95722553e+02, 4.34128949e+01,\n",
" 7.61703521e+01, -1.36044529e+02, -4.56352878e+01,\n",
" 4.97407223e+01, 1.21167091e+02, 1.76631152e+02,\n",
" -4.60745400e+01, -9.40850940e+01, -4.22329553e+01,\n",
" 8.02716194e+01, 4.32015053e+01, 1.33741461e+02,\n",
" -1.23219280e+02, -6.20513591e+01, 5.40068638e+01,\n",
" 1.15747299e+02, -1.90078944e+02, -2.44566463e+02,\n",
" -5.04765670e+01, 2.46105140e+01, 1.13196077e+02,\n",
" 2.13521302e+02, 6.46733472e+01, -3.68887866e+01,\n",
" -1.62166480e+02, 8.97882487e+01, -6.41648736e+01,\n",
" -1.46773513e+02, 1.13071988e+02, 9.42227447e+00,\n",
" 1.25306831e+02, -1.26405900e+02, 9.05723525e+01,\n",
" 9.16809329e+01, -1.67555057e+01, -8.93379287e+00,\n",
" 6.92900310e+01, -1.00969014e+02, 6.65851758e+01,\n",
" -9.24787049e+01, 7.27137430e+01, 2.48622752e+02,\n",
" 6.90937631e+01, 8.42655367e+00, 1.92714432e+02,\n",
" 6.49826086e+01, -1.57979192e+02],\n",
" [ 7.80279391e+01, 6.01177633e+01, -1.17046990e+02,\n",
" -9.34435585e+01, 1.33741461e+02, -2.39827987e+02,\n",
" 1.49468349e+02, 1.11220074e+02, -1.61015551e+02,\n",
" -1.72021525e+02, 7.62947388e+01, -7.64103542e+01,\n",
" -2.72696633e+01, -1.42178495e+02, 1.34083843e+02,\n",
" -1.26405615e+02, 9.48097187e+01, -1.63441891e+01,\n",
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" -5.95032638e+01, 1.01740317e+02, -8.75334770e+01,\n",
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" 1.63593046e+02, -6.83013499e+01, 1.27656647e+02,\n",
" 1.30186146e+01, 1.60071807e-01, -6.74673825e+01,\n",
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" -1.31418956e+02, 6.55927167e+01, -1.14033803e+02,\n",
" -2.35004341e+02, 2.06620675e+02, -1.52624910e+02,\n",
" 1.56857895e+01, 1.13121137e+02],\n",
" [-3.10216272e+01, 9.40852054e+00, -8.29714231e+00,\n",
" -7.11599404e+01, 1.08046308e+02, -2.94193987e+01,\n",
" 1.43529811e+01, -1.95954127e+02, -2.29447889e+02,\n",
" 4.15490726e+01, -8.94336578e+00, 3.95340913e+01,\n",
" -5.92317810e+01, 8.94038839e+01, 1.15308924e+02,\n",
" 5.82257075e+01, -9.09151364e+01, 1.76971942e+02,\n",
" -7.36881173e+01, 9.00836339e+00, 6.46733472e+01,\n",
" -1.62381182e+02, 5.19686612e+01, -9.22325451e+01,\n",
" -2.82721168e+01, -3.83310592e+01, 1.16505494e+02,\n",
" 1.91602678e+01, 2.87555236e+01, -6.91055850e+01,\n",
" -1.21089769e+02, -1.42646806e+02, 8.54777274e+01,\n",
" 1.91408938e+02, 1.61223720e+02, -9.53500137e+01,\n",
" -1.06948123e+02, 7.97498023e+01, -4.23517286e+01,\n",
" -1.13290840e+02, -7.48561896e+01, -1.05205674e+02,\n",
" 3.89716462e+01, 1.00785388e+02, 5.72390785e+01,\n",
" 6.66171824e+01, 1.42313917e+00, 1.45267922e+02,\n",
" -2.59395769e+02, 2.64993440e+01],\n",
" [ 3.17838909e+01, 7.61703521e+01, 3.63636039e+01,\n",
" 8.14694909e+01, 2.89619715e+00, 1.47592213e+02,\n",
" 1.56499444e+02, -1.79370321e+02, 1.50266251e+02,\n",
" 1.07741402e+02, 1.64832117e+02, -1.83164523e+02,\n",
" 4.98127637e+01, -2.48206155e+02, -1.50749437e+02,\n",
" -1.36979271e+02, 8.02332332e+01, 5.69166262e+01,\n",
" -1.38324914e+02, 1.98871444e+02, 7.76297892e+01,\n",
" 3.89068074e+01, 3.34245116e+01, -1.89399117e+02,\n",
" -5.83231527e+01, -3.87318181e+01, 4.87866868e+01,\n",
" 7.50207124e+01, 3.22203731e+01, 8.65675381e+01,\n",
" -2.16130191e+01, 7.75557966e+00, 1.75364547e+01,\n",
" 3.04108283e+01, 1.76917760e+02, 1.57731072e+01,\n",
" -3.24246598e+01, -4.35161042e+01, 5.78856286e+01,\n",
" 1.75183837e+02, 8.01070884e+01, -1.65972089e+02,\n",
" -2.01731440e+02, 2.28539350e+02, -1.56410119e+02,\n",
" -7.49654037e+01, 1.21450289e+02, 6.83558779e+01,\n",
" -1.48215054e+02, -5.05961817e+01],\n",
" [-7.37574937e+01, 8.39801170e+01, -6.30502726e+01,\n",
" 4.28198129e+01, -1.05964330e+02, -1.74177666e+02,\n",
" -1.48095893e+02, 1.55826584e+02, 1.56746870e+02,\n",
" -2.01429897e+01, 1.64597558e+01, -7.45507692e+01,\n",
" -4.51413031e+01, -5.84223101e+01, -2.07333172e+02,\n",
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" -1.92516356e+02, -4.17985993e+01, -1.98697504e+02,\n",
" -1.87920613e+01, -3.68888807e+00, 8.05240733e+01,\n",
" -1.12423256e+02, -1.30439636e+01, 1.99106422e+01,\n",
" 4.96763292e+01, 1.83148237e+02, 7.52678189e+01,\n",
" -2.48006993e+02, 1.30419763e+02, 3.81288301e+01,\n",
" -8.41255646e+00, 7.65191532e+01, 1.93635935e+01,\n",
" 1.32513107e+02, -3.43161766e+01, -1.53731359e+02,\n",
" -1.26405615e+02, 7.48103942e+01, 1.29380838e+02,\n",
" -1.81750983e+02, 6.37831452e+01, -7.55500201e+01,\n",
" 2.48622752e+02, 3.97935905e+01, -1.83209229e+02,\n",
" -3.23769184e+01, -1.01654000e+02]])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-02d758e9-8916-4ae3-8540-093a42c16204' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-02d758e9-8916-4ae3-8540-093a42c16204' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (x1: 20, y1: 50)\n",
"Coordinates:\n",
" lat (x1, y1) float64 28.41 -19.42 46.71 -31.16 ... -19.47 89.92 18.29\n",
" lon (x1, y1) float64 -49.38 60.24 129.0 -46.09 ... -163.7 -122.3 -119.9\n",
"Dimensions without coordinates: x1, y1\n",
"Data variables:\n",
" field (x1, y1) float64 -20.97 40.82 175.8 -77.25 ... -183.2 -32.38 -101.7"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds_sel = ds_1d.balltree.sel(\n",
" lat=ds_indexer_2d.latitude,\n",
" lon=ds_indexer_2d.longitude\n",
")\n",
"\n",
"ds_sel"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ds_indexer_2d.plot.scatter(x='longitude', y='latitude', c='k', alpha=0.7);\n",
"ds_sel.plot.scatter(x='lon', y='lat', hue='field', alpha=0.9);"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda env:esm-vfc]",
"language": "python",
"name": "conda-env-esm-vfc-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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