extremes-dt/extremes-dt-earthkit-example-fe-trajectory.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "089adc3f-943e-4b49-bc45-9e11c737b579",
   "metadata": {},
   "source": [
    "## Polytope Extremes-DT Feature Extraction Trajectory example notebook\n",
    "\n",
    "This notebook shows how to use earthkit-data and earthkit-plots to pull destination-earth data from LUMI and plot it using earthkit-plots.\n",
    "\n",
    "\n",
    "Before running the notebook you need to set up your credentials. See the main readme of this repository for different ways to do this or use the following cells to authenticate.\n",
    "\n",
    "You will need to generate your credentials using the desp-authentication.py script.\n",
    "\n",
    "This can be run as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "690284b8-914f-4615-9f10-d64bc0a41dfe",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture cap\n",
    "%run ../desp-authentication.py"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ac38420-9c94-464f-990a-bf8166004218",
   "metadata": {},
   "source": [
    "This will generate a token that can then be used by earthkit and polytope."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "26249986",
   "metadata": {},
   "outputs": [],
   "source": [
    "output_1 = cap.stdout.split('}\\n')\n",
    "access_token = output_1[-1][0:-1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a44eafad-eb93-475f-9824-521473c00bb7",
   "metadata": {},
   "source": [
    "# Requirements\n",
    "To run this notebook install the following:\n",
    "* pip install earthkit-data\n",
    "* pip install earthkit-plots\n",
    "* pip install cf-units         (Optional for unit conversion in maps)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b2827834-1bcf-4958-83b4-c3a6b9a70275",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "n = 1000\n",
    "lons = np.linspace(0, 5*360, n)\n",
    "lats = np.linspace(-85, 85, n)\n",
    "linspace = np.stack([lats, lons], axis=1)\n",
    "pts = linspace.tolist()\n",
    "\n",
    "import earthkit.data\n",
    "import earthkit.regrid\n",
    "\n",
    "request = {\n",
    "    \"dataset\": \"extremes-dt\",\n",
    "    \"class\": \"d1\",\n",
    "    \"stream\": \"oper\",\n",
    "    \"type\": \"fc\",\n",
    "    \"date\": -1,\n",
    "    \"time\": \"0000\",\n",
    "    \"levtype\": \"sfc\",\n",
    "    \"expver\": \"0001\",\n",
    "    \"param\": \"167\",\n",
    "    \"step\": \"0\",\n",
    "    \"feature\" :{ \n",
    "        \"type\" : \"trajectory\", \n",
    "        \"points\" : pts, \n",
    "        \"inflation\" : 0.1, \n",
    "        \"inflate\" : \"round\",\n",
    "        \"axes\" :[\"latitude\", \"longitude\"], \n",
    "    },\n",
    "}\n",
    "\n",
    "#data is an earthkit streaming object but with stream=False will download data immediately \n",
    "ds = earthkit.data.from_source(\"polytope\", \"destination-earth\", request, stream=False, address='polytope.lumi.apps.dte.destination-earth.eu')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "15045c6d-5244-4ce8-b921-31cb243e0f12",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds._json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0c76470c-e897-4747-a56d-c7c786676b52",
   "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",
       "html[data-theme=dark],\n",
       "body[data-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 !important;\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 0 20px 0 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\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:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0);\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-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\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",
       ".xr-index-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",
       ".xr-index-data-in:checked ~ .xr-index-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-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-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",
       ".xr-no-icon {\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; Size: 8MB\n",
       "Dimensions:    (datetimes: 1, number: 1, steps: 1, points: 159672)\n",
       "Coordinates:\n",
       "  * datetimes  (datetimes) &lt;U20 80B &#x27;2025-01-19T00:00:00Z&#x27;\n",
       "  * number     (number) int64 8B 0\n",
       "  * steps      (steps) int64 8B 0\n",
       "  * points     (points) int64 1MB 0 1 2 3 4 ... 159668 159669 159670 159671\n",
       "    x          (points) float64 1MB -85.09 -85.05 -85.02 ... 85.02 85.05 85.09\n",
       "    y          (points) float64 1MB 0.0 0.0 0.0 0.6164 0.0 ... 0.0 359.4 0.0 0.0\n",
       "    z          (points) float64 1MB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    time       (points) int64 1MB 0 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 0 0\n",
       "Data variables:\n",
       "    2t         (datetimes, number, steps, points) float64 1MB 251.3 ... 243.3\n",
       "Attributes:\n",
       "    class:          d1\n",
       "    dataset:        extremes-dt\n",
       "    Forecast date:  2025-01-19T00:00:00Z\n",
       "    expver:         0001\n",
       "    levtype:        sfc\n",
       "    step:           0\n",
       "    stream:         oper\n",
       "    type:           fc\n",
       "    number:         0</pre><div class='xr-wrap' style='display:none'><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-4114073b-7315-49b2-b3c6-986741a9b9bf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4114073b-7315-49b2-b3c6-986741a9b9bf' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>datetimes</span>: 1</li><li><span class='xr-has-index'>number</span>: 1</li><li><span class='xr-has-index'>steps</span>: 1</li><li><span class='xr-has-index'>points</span>: 159672</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9fb01d2d-1e18-4135-a7ea-0c394b4b7bf7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9fb01d2d-1e18-4135-a7ea-0c394b4b7bf7' class='xr-section-summary' >Coordinates: <span>(8)</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 class='xr-has-index'>datetimes</span></div><div class='xr-var-dims'>(datetimes)</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;2025-01-19T00:00:00Z&#x27;</div><input id='attrs-91dacf15-0644-4b64-84e2-488450b9e6c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-91dacf15-0644-4b64-84e2-488450b9e6c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17014991-770f-4d4f-bc8a-b8e94cdb4436' class='xr-var-data-in' type='checkbox'><label for='data-17014991-770f-4d4f-bc8a-b8e94cdb4436' 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><div class='xr-var-data'><pre>array([&#x27;2025-01-19T00:00:00Z&#x27;], dtype=&#x27;&lt;U20&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>number</span></div><div class='xr-var-dims'>(number)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-552d37f2-7242-459b-aefc-2d207b73389f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-552d37f2-7242-459b-aefc-2d207b73389f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c8c9ca3-01e4-47a1-9ca2-cb7a37600276' class='xr-var-data-in' type='checkbox'><label for='data-9c8c9ca3-01e4-47a1-9ca2-cb7a37600276' 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><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>steps</span></div><div class='xr-var-dims'>(steps)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-105042e8-6f6c-42c7-a5f4-64214d5724c0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-105042e8-6f6c-42c7-a5f4-64214d5724c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9940d8e9-9540-41fb-8e1d-522076fe1cb0' class='xr-var-data-in' type='checkbox'><label for='data-9940d8e9-9540-41fb-8e1d-522076fe1cb0' 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><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>points</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 ... 159669 159670 159671</div><input id='attrs-abdea4ca-22da-4dde-9412-51b210464363' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-abdea4ca-22da-4dde-9412-51b210464363' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5c16abf-2465-4e85-a3b2-e934fcc28125' class='xr-var-data-in' type='checkbox'><label for='data-b5c16abf-2465-4e85-a3b2-e934fcc28125' 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><div class='xr-var-data'><pre>array([     0,      1,      2, ..., 159669, 159670, 159671])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.09 -85.05 ... 85.05 85.09</div><input id='attrs-8d0276af-2bdb-47a7-ac79-4192f23eb158' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d0276af-2bdb-47a7-ac79-4192f23eb158' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff92f242-1f9e-451c-9ab1-a148a5b40142' class='xr-var-data-in' type='checkbox'><label for='data-ff92f242-1f9e-451c-9ab1-a148a5b40142' 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><div class='xr-var-data'><pre>array([-85.08739063, -85.05223784, -85.01708504, ...,  85.01708504,\n",
       "        85.05223784,  85.08739063])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 359.4 0.0 0.0</div><input id='attrs-ea53965e-d20c-4009-8b0d-0204d9837d12' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ea53965e-d20c-4009-8b0d-0204d9837d12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb07248c-0c2c-43d3-8d79-ae78df9cd28d' class='xr-var-data-in' type='checkbox'><label for='data-cb07248c-0c2c-43d3-8d79-ae78df9cd28d' 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><div class='xr-var-data'><pre>array([  0.        ,   0.        ,   0.        , ..., 359.38356164,\n",
       "         0.        ,   0.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-ec30090a-f497-4068-9153-f5cb41a7bcbf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ec30090a-f497-4068-9153-f5cb41a7bcbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad6ae256-188f-4b46-9231-df69a9c85004' class='xr-var-data-in' type='checkbox'><label for='data-ad6ae256-188f-4b46-9231-df69a9c85004' 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><div class='xr-var-data'><pre>array([0., 0., 0., ..., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-93184fbb-0190-4c80-965a-31b2bd1d67be' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-93184fbb-0190-4c80-965a-31b2bd1d67be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-294db21b-ff05-4f24-964c-9ef6bff5b5c8' class='xr-var-data-in' type='checkbox'><label for='data-294db21b-ff05-4f24-964c-9ef6bff5b5c8' 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><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-15d4d91f-423f-4a25-9b63-adece55f936d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-15d4d91f-423f-4a25-9b63-adece55f936d' 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>2t</span></div><div class='xr-var-dims'>(datetimes, number, steps, points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>251.3 251.3 251.6 ... 243.2 243.3</div><input id='attrs-eaecab16-1ff1-49be-9e4a-fba18720e524' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eaecab16-1ff1-49be-9e4a-fba18720e524' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f35a519-c642-4aa7-8a84-c63b64e159f1' class='xr-var-data-in' type='checkbox'><label for='data-2f35a519-c642-4aa7-8a84-c63b64e159f1' 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'><dt><span>type :</span></dt><dd>Parameter</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2t</dd></dl></div><div class='xr-var-data'><pre>array([[[[251.26750183, 251.32603455, 251.55931091, ..., 243.28182983,\n",
       "          243.23699951, 243.25111389]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-16d23e7a-cae0-40e0-a61e-1c94df39b564' class='xr-section-summary-in' type='checkbox'  ><label for='section-16d23e7a-cae0-40e0-a61e-1c94df39b564' class='xr-section-summary' >Indexes: <span>(4)</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-index-name'><div>datetimes</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c2d51e11-302e-4ffd-b99c-b4ec4ae51fe3' class='xr-index-data-in' type='checkbox'/><label for='index-c2d51e11-302e-4ffd-b99c-b4ec4ae51fe3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;2025-01-19T00:00:00Z&#x27;], dtype=&#x27;object&#x27;, name=&#x27;datetimes&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>number</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-61e5b32d-865e-447b-abf8-cb6cfdbd7ca2' class='xr-index-data-in' type='checkbox'/><label for='index-61e5b32d-865e-447b-abf8-cb6cfdbd7ca2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;number&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>steps</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-411b61ca-9e7c-4200-a2eb-bdfd7f85226e' class='xr-index-data-in' type='checkbox'/><label for='index-411b61ca-9e7c-4200-a2eb-bdfd7f85226e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;steps&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>points</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-557562d0-a3b2-4839-a7c1-f5165737c60a' class='xr-index-data-in' type='checkbox'/><label for='index-557562d0-a3b2-4839-a7c1-f5165737c60a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([     0,      1,      2,      3,      4,      5,      6,      7,      8,\n",
       "            9,\n",
       "       ...\n",
       "       159662, 159663, 159664, 159665, 159666, 159667, 159668, 159669, 159670,\n",
       "       159671],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;points&#x27;, length=159672))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c9b4ab73-c285-4a7a-abbd-e32fd67119b9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c9b4ab73-c285-4a7a-abbd-e32fd67119b9' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>class :</span></dt><dd>d1</dd><dt><span>dataset :</span></dt><dd>extremes-dt</dd><dt><span>Forecast date :</span></dt><dd>2025-01-19T00:00:00Z</dd><dt><span>expver :</span></dt><dd>0001</dd><dt><span>levtype :</span></dt><dd>sfc</dd><dt><span>step :</span></dt><dd>0</dd><dt><span>stream :</span></dt><dd>oper</dd><dt><span>type :</span></dt><dd>fc</dd><dt><span>number :</span></dt><dd>0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 8MB\n",
       "Dimensions:    (datetimes: 1, number: 1, steps: 1, points: 159672)\n",
       "Coordinates:\n",
       "  * datetimes  (datetimes) <U20 80B '2025-01-19T00:00:00Z'\n",
       "  * number     (number) int64 8B 0\n",
       "  * steps      (steps) int64 8B 0\n",
       "  * points     (points) int64 1MB 0 1 2 3 4 ... 159668 159669 159670 159671\n",
       "    x          (points) float64 1MB -85.09 -85.05 -85.02 ... 85.02 85.05 85.09\n",
       "    y          (points) float64 1MB 0.0 0.0 0.0 0.6164 0.0 ... 0.0 359.4 0.0 0.0\n",
       "    z          (points) float64 1MB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    time       (points) int64 1MB 0 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 0 0\n",
       "Data variables:\n",
       "    2t         (datetimes, number, steps, points) float64 1MB 251.3 ... 243.3\n",
       "Attributes:\n",
       "    class:          d1\n",
       "    dataset:        extremes-dt\n",
       "    Forecast date:  2025-01-19T00:00:00Z\n",
       "    expver:         0001\n",
       "    levtype:        sfc\n",
       "    step:           0\n",
       "    stream:         oper\n",
       "    type:           fc\n",
       "    number:         0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert data to xarray\n",
    "da = ds.to_xarray()\n",
    "da"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1980070f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 700x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import earthkit.plots\n",
    "\n",
    "\n",
    "chart = earthkit.plots.Map()\n",
    "chart.point_cloud(da['2t'], x=\"y\", y=\"x\")\n",
    "chart.coastlines()\n",
    "chart.borders()\n",
    "chart.title(\"{variable_name}\")\n",
    "chart.legend()\n",
    "chart.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6a578f47",
   "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": "3.11.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}