Created
February 23, 2021 05:15
-
-
Save fivejjs/52133c79fe06bcaf6fdbbc2666ce8eb3 to your computer and use it in GitHub Desktop.
sample-ipynb
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "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", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<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": { | |
| "text/html": [ | |
| "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n", | |
| "<defs>\n", | |
| "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n", | |
| "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n", | |
| "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", | |
| "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", | |
| "</symbol>\n", | |
| "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n", | |
| "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n", | |
| "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", | |
| "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", | |
| "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", | |
| "</symbol>\n", | |
| "</defs>\n", | |
| "</svg>\n", | |
| "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n", | |
| " *\n", | |
| " */\n", | |
| "\n", | |
| ":root {\n", | |
| " --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n", | |
| " --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n", | |
| " --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n", | |
| " --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", | |
| "html[theme=dark],\n", | |
| "body.vscode-dark {\n", | |
| " --xr-font-color0: rgba(255, 255, 255, 1);\n", | |
| " --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'><xarray.Dataset>\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 | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment