{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dfs3 - Basic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import mikeio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<mikeio.Dataset>\n",
       "dims: (time:1, z:17, y:112, x:91)\n",
       "time: 2001-12-28 00:00:00 (time-invariant)\n",
       "geometry: Grid3D(nz=17, ny=112, nx=91)\n",
       "items:\n",
       "  0:  Diss. oxygen (mg/l) <Concentration 3> (mg per liter)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = mikeio.read(\"../tests/testdata/dissolved_oxygen.dfs3\")\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<mikeio.Grid3D>\n",
       "x: [0, 150, ..., 1.35e+04] (nx=91, dx=150)\n",
       "y: [0, 150, ..., 1.665e+04] (ny=112, dy=150)\n",
       "z: [0, 1, ..., 16] (nz=17, dz=1)\n",
       "origin: (5.864e+05, 6.143e+06), orientation: 17.000\n",
       "projection: PROJCS[\"UTM-32\",GEOGCS[\"Unused\",DATUM[\"UTM Projections\",SPHEROID[\"WGS 1984\",6378137,298.257223563]],PRIMEM[\"Greenwich\",0],UNIT[\"Degree\",0.0174532925199433]],PROJECTION[\"Transverse_Mercator\"],PARAMETER[\"False_Easting\",500000],PARAMETER[\"False_Northing\",0],PARAMETER[\"Central_Meridian\",9],PARAMETER[\"Scale_Factor\",0.9996],PARAMETER[\"Latitude_Of_Origin\",0],UNIT[\"Meter\",1]]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.geometry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<mikeio.DataArray>\n",
       "name: Diss. oxygen (mg/l)\n",
       "dims: (time:1, z:17, y:112, x:91)\n",
       "time: 2001-12-28 00:00:00 (time-invariant)\n",
       "geometry: Grid3D(nz=17, ny=112, nx=91)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "do  = ds[0]\n",
    "do"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "do.isel(z=-1).plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "dst = mikeio.read(\"../tests/testdata/dissolved_oxygen.dfs3\", layers=\"top\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<mikeio.Dataset>\n",
       "dims: (time:1, y:112, x:91)\n",
       "time: 2001-12-28 00:00:00 (time-invariant)\n",
       "geometry: Grid2D (ny=112, nx=91)\n",
       "items:\n",
       "  0:  Diss. oxygen (mg/l) <Concentration 3> (mg per liter)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dst[0].plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<mikeio.Dataset>\n",
       "dims: (time:1, y:112, x:91)\n",
       "time: 2001-12-28 00:00:00 (time-invariant)\n",
       "geometry: Grid2D (ny=112, nx=91)\n",
       "items:\n",
       "  0:  Diss. oxygen (mg/l) <Concentration 3> (mg per liter)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dsb = mikeio.read(\"../tests/testdata/dissolved_oxygen.dfs3\",layers=\"bottom\")\n",
    "dsb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dsb[0].plot(figsize=(10,10))\n",
    "plt.title(\"Bottom oxygen\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11.07656"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dsb[0].to_numpy()[0,110,56]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12.409002"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dst[0].to_numpy()[0,110,56]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.05738005"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dsb[0].to_numpy()[0,58,52]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Local coordinates\n",
    "\n",
    "Local coordinates (*\"NON-UTM\"*) have a different convention. The origin is at the bottom-left corner instead of the element center. This applies to x and y coordinates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<mikeio.DataArray>\n",
       "name: NoName\n",
       "dims: (z:2, y:2, x:3)\n",
       "time: 2018-01-01 00:00:00 (time-invariant)\n",
       "geometry: Grid3D(nz=2, ny=2, nx=3)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "data = np.array([[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]])\n",
    "da = mikeio.DataArray(data,\n",
    "    geometry=mikeio.Grid3D(\n",
    "            nx=3, ny=2, nz=2, dy=0.5, dz=1, dx=0.5, projection=\"NON-UTM\"\n",
    "    ),\n",
    ")\n",
    "da"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<mikeio.Grid3D>\n",
       "x: [0.25, 0.75, 1.25] (nx=3, dx=0.5)\n",
       "y: [0.25, 0.75] (ny=2, dy=0.5)\n",
       "z: [0, 1] (nz=2, dz=1)\n",
       "origin: (0, 0), orientation: 0.000\n",
       "projection: NON-UTM"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "da.geometry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "da.isel(z=0).plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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",
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       "<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",
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       "</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[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 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-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.DataArray &#x27;NoName&#x27; (z: 2, y: 2, x: 3)&gt;\n",
       "array([[[ 1,  2,  3],\n",
       "        [ 4,  5,  6]],\n",
       "\n",
       "       [[ 7,  8,  9],\n",
       "        [10, 11, 12]]])\n",
       "Coordinates:\n",
       "  * z        (z) float64 0.0 1.0\n",
       "  * y        (y) float64 0.25 0.75\n",
       "  * x        (x) float64 0.25 0.75 1.25\n",
       "Attributes:\n",
       "    name:     NoName\n",
       "    units:    undefined\n",
       "    eumType:  EUMType.Undefined\n",
       "    eumUnit:  EUMUnit.undefined</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'NoName'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>z</span>: 2</li><li><span class='xr-has-index'>y</span>: 2</li><li><span class='xr-has-index'>x</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9ae0efcd-5e1a-4d8e-aa52-728a20463c65' class='xr-array-in' type='checkbox' checked><label for='section-9ae0efcd-5e1a-4d8e-aa52-728a20463c65' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 2 3 4 5 6 7 8 9 10 11 12</span></div><div class='xr-array-data'><pre>array([[[ 1,  2,  3],\n",
       "        [ 4,  5,  6]],\n",
       "\n",
       "       [[ 7,  8,  9],\n",
       "        [10, 11, 12]]])</pre></div></div></li><li class='xr-section-item'><input id='section-64aea159-bb52-45fa-928d-7369ce95f387' class='xr-section-summary-in' type='checkbox'  checked><label for='section-64aea159-bb52-45fa-928d-7369ce95f387' class='xr-section-summary' >Coordinates: <span>(3)</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'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0</div><input id='attrs-af6d42a5-bd5f-4e06-b247-fa8917453cef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af6d42a5-bd5f-4e06-b247-fa8917453cef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50f73b6b-59a0-4c9f-b53d-fadc819f4d93' class='xr-var-data-in' type='checkbox'><label for='data-50f73b6b-59a0-4c9f-b53d-fadc819f4d93' 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.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.25 0.75</div><input id='attrs-6b9f4d72-cfa0-47a0-8da5-27368a06b0f7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b9f4d72-cfa0-47a0-8da5-27368a06b0f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b5159b6-aaa0-45fd-9792-c9ea8f8ce828' class='xr-var-data-in' type='checkbox'><label for='data-7b5159b6-aaa0-45fd-9792-c9ea8f8ce828' 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([0.25, 0.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.25 0.75 1.25</div><input id='attrs-ec7f25ed-81d9-4c6b-9849-5279bf849c0b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ec7f25ed-81d9-4c6b-9849-5279bf849c0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5876cc47-52c4-4342-803a-e1a3c0c614b0' class='xr-var-data-in' type='checkbox'><label for='data-5876cc47-52c4-4342-803a-e1a3c0c614b0' 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([0.25, 0.75, 1.25])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2deb1d5b-873b-4062-aa91-45028f065323' class='xr-section-summary-in' type='checkbox'  ><label for='section-2deb1d5b-873b-4062-aa91-45028f065323' class='xr-section-summary' >Indexes: <span>(3)</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>z</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1e31230c-164d-4860-aa3d-365b1d8441cc' class='xr-index-data-in' type='checkbox'/><label for='index-1e31230c-164d-4860-aa3d-365b1d8441cc' 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([0.0, 1.0], dtype=&#x27;float64&#x27;, name=&#x27;z&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ff88dc4c-210c-4e69-b5a8-4531048525a7' class='xr-index-data-in' type='checkbox'/><label for='index-ff88dc4c-210c-4e69-b5a8-4531048525a7' 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([0.25, 0.75], dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-40330a4b-9f98-48c9-95dc-7b21b9fbd6e6' class='xr-index-data-in' type='checkbox'/><label for='index-40330a4b-9f98-48c9-95dc-7b21b9fbd6e6' 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([0.25, 0.75, 1.25], dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-998e2d99-7ee9-486c-82fc-a15d61f51436' class='xr-section-summary-in' type='checkbox'  checked><label for='section-998e2d99-7ee9-486c-82fc-a15d61f51436' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>NoName</dd><dt><span>units :</span></dt><dd>undefined</dd><dt><span>eumType :</span></dt><dd>EUMType.Undefined</dd><dt><span>eumUnit :</span></dt><dd>EUMUnit.undefined</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'NoName' (z: 2, y: 2, x: 3)>\n",
       "array([[[ 1,  2,  3],\n",
       "        [ 4,  5,  6]],\n",
       "\n",
       "       [[ 7,  8,  9],\n",
       "        [10, 11, 12]]])\n",
       "Coordinates:\n",
       "  * z        (z) float64 0.0 1.0\n",
       "  * y        (y) float64 0.25 0.75\n",
       "  * x        (x) float64 0.25 0.75 1.25\n",
       "Attributes:\n",
       "    name:     NoName\n",
       "    units:    undefined\n",
       "    eumType:  EUMType.Undefined\n",
       "    eumUnit:  EUMUnit.undefined"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "da.to_xarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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