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dummy-indexing.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# crop-mask datacube indexing trials\n",
"\n",
"## pre-requirements\n",
"- optional depends on pystac\n",
"\n",
"## required\n",
"- datacube package installed and setup the local db config \".datacube.conf\"\n",
"- and postgresql db initialized"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pystac"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import os"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"\n",
"with open('crop-mask-json-template-good-looking.json') as fh:\n",
" meta_dat = json.load(fh)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['type', 'stac_version', 'id', 'properties', 'geometry', 'links', 'assets', 'bbox', 'stac_extensions'])"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"meta_dat.keys()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"with open('crop-mask-json-template.json') as fhin:\n",
" meta_tmpl = json.load(fhin)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['type', 'stac_version', 'id', 'properties', 'geometry', 'links', 'assets', 'bbox', 'stac_extensions'])"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"meta_tmpl.keys()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"with open('original_crop_mask_sample.json', 'w') as fhout:\n",
" json.dump(meta_tmpl, fhout, indent=2)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"from pystac import Catalog"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"from odc.index.stac import stac_transform"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"\n",
"with open('crop-mask-json-template-good-looking.json') as fh:\n",
" data = json.load(fh)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"results = stac_transform(data)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'$schema': 'https://schemas.opendatacube.org/dataset',\n",
" 'crs': 'epsg:6933',\n",
" 'geometry': {'coordinates': (((4608000.0, 1056000.0),\n",
" (4608000.0, 960000.0),\n",
" (4704000.0, 960000.0),\n",
" (4704000.0, 1056000.0),\n",
" (4608000.0, 1056000.0)),),\n",
" 'type': 'Polygon'},\n",
" 'grids': {'default': {'shape': [4800, 4800],\n",
" 'transform': [20.0,\n",
" 0.0,\n",
" 4608000.0,\n",
" 0.0,\n",
" -20.0,\n",
" 1056000.0,\n",
" 0.0,\n",
" 0.0,\n",
" 1.0]}},\n",
" 'id': 'f8944fb1-826a-5fd0-b1bb-92a3ced000a7',\n",
" 'label': 'f8944fb1-826a-5fd0-b1bb-92a3ced000a7',\n",
" 'lineage': {'inputs': []},\n",
" 'measurements': {'crop_mask': {'path': 'ga_s2_gm_x+048y+010_2019-07--P6M_B02.tif'},\n",
" 'crop_prob': {'path': 'ga_s2_gm_x+048y+010_2019-07--P6M_B03.tif'}},\n",
" 'product': {'name': 'crop_mask(to validate)'},\n",
" 'properties': {'datetime': '2019-07-01T00:00:00Z',\n",
" 'dtr:end_datetime': '2019-12-31T23:59:59.999999Z',\n",
" 'dtr:start_datetime': '2019-07-01T00:00:00.000000Z',\n",
" 'eo:platform': 'sentinel-2',\n",
" 'odc:file_format': 'GeoTIFF',\n",
" 'odc:processing_datetime': '2021-02-14T07:29:22Z',\n",
" 'odc:producer': 'Digital Earth Africa(TBD)',\n",
" 'odc:product': 'crop_mask(to validate)',\n",
" 'odc:product_family': 'statistics(TBD)',\n",
" 'odc:region_code': 'x+048y+010',\n",
" 'proj:epsg': 6933}}\n"
]
}
],
"source": [
"import pprint\n",
"\n",
"pprint.pprint(results)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### prepare the db insert hack"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"from datacube import Datacube\n",
"\n",
"dc = Datacube(app='__name__')"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"from datacube.model import DatasetType, MetadataType, Dataset"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"_EXAMPLE_METADATA_TYPE = MetadataType(\n",
" {\n",
" 'name': 'eo3',\n",
" 'dataset': dict(\n",
" id=['id'],\n",
" label=['ga_label'],\n",
" creation_time=['creation_dt'],\n",
" measurements=['image', 'bands'],\n",
" sources=['lineage', 'source_datasets']\n",
" )\n",
" },\n",
" dataset_search_fields={},\n",
" id_=1 # hacking by reading postgresql db\n",
"\n",
")\n",
"\n",
"_EXAMPLE_DATASET_TYPE = DatasetType(\n",
" _EXAMPLE_METADATA_TYPE,\n",
" {\n",
" 'name': 'eo3',\n",
" 'description': \"\",\n",
" 'metadata_type': 'eo3',\n",
" 'metadata': {}\n",
" },\n",
" id_=2\n",
")\n"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"dataset = Dataset(_EXAMPLE_DATASET_TYPE, results)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(DatasetType(name='eo3', id_=2), MetadataType(name='eo3', id_=1))"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dataset.type, dataset.metadata_type"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Dataset <id=f8944fb1-826a-5fd0-b1bb-92a3ced000a7 product=eo3 location=not available>"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dc.index.datasets.add(dataset)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## pgadmin select to check results\n",
"```sql\n",
"select * from agdc.dataset \n",
"where added >= '2021-01-23'\n",
"limit 10;\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
"inserted_json = {\n",
" \"id\": \"f8944fb1-826a-5fd0-b1bb-92a3ced000a7\",\n",
" \"crs\": \"epsg:6933\",\n",
" \"grids\": {\n",
" \"default\": {\n",
" \"shape\": [\n",
" 4800,\n",
" 4800\n",
" ],\n",
" \"transform\": [\n",
" 20,\n",
" 0,\n",
" 4608000,\n",
" 0,\n",
" -20,\n",
" 1056000,\n",
" 0,\n",
" 0,\n",
" 1\n",
" ]\n",
" }\n",
" },\n",
" \"label\": \"f8944fb1-826a-5fd0-b1bb-92a3ced000a7\",\n",
" \"$schema\": \"https://schemas.opendatacube.org/dataset\",\n",
" \"lineage\": {\n",
" \"inputs\": []\n",
" },\n",
" \"product\": {\n",
" \"name\": \"crop_mask(to validate)\"\n",
" },\n",
" \"geometry\": {\n",
" \"type\": \"Polygon\",\n",
" \"coordinates\": [\n",
" [\n",
" [\n",
" 4608000,\n",
" 1056000\n",
" ],\n",
" [\n",
" 4608000,\n",
" 960000\n",
" ],\n",
" [\n",
" 4704000,\n",
" 960000\n",
" ],\n",
" [\n",
" 4704000,\n",
" 1056000\n",
" ],\n",
" [\n",
" 4608000,\n",
" 1056000\n",
" ]\n",
" ]\n",
" ]\n",
" },\n",
" \"properties\": {\n",
" \"datetime\": \"2019-07-01T00:00:00Z\",\n",
" \"proj:epsg\": 6933,\n",
" \"eo:platform\": \"sentinel-2\",\n",
" \"odc:product\": \"crop_mask(to validate)\",\n",
" \"odc:producer\": \"Digital Earth Africa(TBD)\",\n",
" \"odc:file_format\": \"GeoTIFF\",\n",
" \"odc:region_code\": \"x+048y+010\",\n",
" \"dtr:end_datetime\": \"2019-12-31T23:59:59.999999Z\",\n",
" \"dtr:start_datetime\": \"2019-07-01T00:00:00.000000Z\",\n",
" \"odc:product_family\": \"statistics(TBD)\",\n",
" \"odc:processing_datetime\": \"2021-02-14T07:29:22Z\"\n",
" },\n",
" \"measurements\": {\n",
" \"crop_mask\": {\n",
" \"path\": \"ga_s2_gm_x+048y+010_2019-07--P6M_B02.tif\"\n",
" },\n",
" \"crop_prob\": {\n",
" \"path\": \"ga_s2_gm_x+048y+010_2019-07--P6M_B03.tif\"\n",
" }\n",
" }\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'$schema': 'https://schemas.opendatacube.org/dataset',\n",
" 'id': 'f8944fb1-826a-5fd0-b1bb-92a3ced000a7',\n",
" 'crs': 'epsg:6933',\n",
" 'grids': {'default': {'shape': [4800, 4800],\n",
" 'transform': [20.0, 0.0, 4608000.0, 0.0, -20.0, 1056000.0, 0.0, 0.0, 1.0]}},\n",
" 'product': {'name': 'crop_mask(to validate)'},\n",
" 'label': 'f8944fb1-826a-5fd0-b1bb-92a3ced000a7',\n",
" 'properties': {'odc:file_format': 'GeoTIFF',\n",
" 'odc:producer': 'Digital Earth Africa(TBD)',\n",
" 'odc:product_family': 'statistics(TBD)',\n",
" 'eo:platform': 'sentinel-2',\n",
" 'dtr:start_datetime': '2019-07-01T00:00:00.000000Z',\n",
" 'dtr:end_datetime': '2019-12-31T23:59:59.999999Z',\n",
" 'odc:processing_datetime': '2021-02-14T07:29:22Z',\n",
" 'odc:region_code': 'x+048y+010',\n",
" 'odc:product': 'crop_mask(to validate)',\n",
" 'proj:epsg': 6933,\n",
" 'datetime': '2019-07-01T00:00:00Z'},\n",
" 'measurements': {'crop_mask': {'path': 'ga_s2_gm_x+048y+010_2019-07--P6M_B02.tif'},\n",
" 'crop_prob': {'path': 'ga_s2_gm_x+048y+010_2019-07--P6M_B03.tif'}},\n",
" 'lineage': {'inputs': []},\n",
" 'geometry': {'type': 'Polygon',\n",
" 'coordinates': (((4608000.0, 1056000.0),\n",
" (4608000.0, 960000.0),\n",
" (4704000.0, 960000.0),\n",
" (4704000.0, 1056000.0),\n",
" (4608000.0, 1056000.0)),)}}"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"results"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>description</th>\n",
" <th>creation_time</th>\n",
" <th>lat</th>\n",
" <th>region_code</th>\n",
" <th>label</th>\n",
" <th>time</th>\n",
" <th>instrument</th>\n",
" <th>product_family</th>\n",
" <th>platform</th>\n",
" <th>dataset_maturity</th>\n",
" <th>lon</th>\n",
" <th>format</th>\n",
" <th>crs</th>\n",
" <th>resolution</th>\n",
" <th>tile_size</th>\n",
" <th>spatial_dimensions</th>\n",
" </tr>\n",
" <tr>\n",
" <th>id</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>crop_mask</td>\n",
" <td>prediction based s2 l2a gm_tmad, NDVI, LAI, MN...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>s2_l2a</td>\n",
" <td>Sentinel-2a and Sentinel-2b imagery, processed...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name description \\\n",
"id \n",
"3 crop_mask prediction based s2 l2a gm_tmad, NDVI, LAI, MN... \n",
"2 s2_l2a Sentinel-2a and Sentinel-2b imagery, processed... \n",
"\n",
" creation_time lat region_code label time instrument product_family \\\n",
"id \n",
"3 None None None None None None None \n",
"2 None None None None None None None \n",
"\n",
" platform dataset_maturity lon format crs resolution tile_size \\\n",
"id \n",
"3 None None None None NaN NaN NaN \n",
"2 None None None None NaN NaN NaN \n",
"\n",
" spatial_dimensions \n",
"id \n",
"3 NaN \n",
"2 NaN "
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dc.list_products()"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [],
"source": [
"from datacube.utils.geometry import Geometry"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
"geojson = {\n",
" \"type\": \"Polygon\",\n",
" \"coordinates\": [\n",
" [\n",
" [\n",
" 4608000,\n",
" 1056000\n",
" ],\n",
" [\n",
" 4608000,\n",
" 960000\n",
" ],\n",
" [\n",
" 4704000,\n",
" 960000\n",
" ],\n",
" [\n",
" 4704000,\n",
" 1056000\n",
" ],\n",
" [\n",
" 4608000,\n",
" 1056000\n",
" ]\n",
" ]\n",
" ]\n",
" }"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [],
"source": [
"geom = Geometry(geojson, crs='epsg:6933')"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"new_results = dc.load('crop_mask', \n",
" geopolygon=geom, \n",
" measurements=['crop_mask', 'crop_prob'])"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
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" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\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",
"}\n",
"\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",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\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",
"\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,\n",
".xr-attrs 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><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: ()\n",
"Data variables:\n",
" *empty*</pre><div class='xr-wrap' hidden><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-fe348dbb-2842-4ac9-b3c0-9c273338fc99' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fe348dbb-2842-4ac9-b3c0-9c273338fc99' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a696fd85-712e-4cb7-ade8-e526279e4566' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a696fd85-712e-4cb7-ade8-e526279e4566' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e939872c-16d2-44e5-9d92-f32b6b229f8d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e939872c-16d2-44e5-9d92-f32b6b229f8d' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d591184b-abbc-494f-8313-6f01ce66bfb8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d591184b-abbc-494f-8313-6f01ce66bfb8' 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: ()\n",
"Data variables:\n",
" *empty*"
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"new_results"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.12"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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