AusLAMP-SEA.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "cloudy-mouse",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pyvista as pv\n",
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "final-bachelor",
   "metadata": {},
   "outputs": [],
   "source": [
    "TISA = np.loadtxt(r\"C:\\Users\\rscott\\Downloads\\Gawler\\AUSLAMP\\149489_00_0\\AusLAMP_model_sgrid\\AusLAMP_3D_model__ascii@@\", skiprows = 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "introductory-sapphire",
   "metadata": {},
   "outputs": [],
   "source": [
    "names = ['X'               ,'Y'              ,'Z'                ,'Resistivity'        ,'I'        ,'J'        ,'K']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "great-mongolia",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfTISA = pd.DataFrame(TISA, columns=names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "atomic-damages",
   "metadata": {},
   "outputs": [
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       "               X             Y       Z  Resistivity    I    J    K\n",
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     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfTISA.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "historical-mortgage",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfTISA.to_csv(r'C:\\Users\\rscott\\Downloads\\Gawler\\AUSLAMP\\149489_00_0\\AusLAMP_model_sgrid\\149489.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "available-thunder",
   "metadata": {},
   "outputs": [
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       "                    X             Y         Z   Resistivity      I      J  \\\n",
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     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfTISA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "reserved-mountain",
   "metadata": {},
   "outputs": [
    {
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       "183"
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     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfTISA['X'].unique().size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b9988e67",
   "metadata": {},
   "outputs": [
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     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "dfTISA['X'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b9531f28",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = dfTISA.sort_values(['Z', 'Y', 'X'], ascending=[True, True, True])"
   ]
  },
  {
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   "execution_count": 13,
   "id": "6382dfe2",
   "metadata": {},
   "outputs": [
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       "(2481480, 3)"
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     "execution_count": 13,
     "metadata": {},
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   "source": [
    "np.asarray(df[['X','Y','Z']]).shape"
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  {
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   "id": "029f6be7",
   "metadata": {},
   "outputs": [
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     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "dfTISA['Y'].unique().size"
   ]
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  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "641bdb28",
   "metadata": {},
   "outputs": [
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     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "dfTISA['Z'].unique().size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "79d5698a",
   "metadata": {},
   "outputs": [
    {
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       "  N Cells:      2416050\n",
       "  N Points:     2481480\n",
       "  X Bounds:     -8.754e+05, 1.855e+06\n",
       "  Y Bounds:     5.067e+06, 8.442e+06\n",
       "  Z Bounds:     -2.869e+05, -4.260e+03\n",
       "  Dimensions:   183, 226, 60\n",
       "  N Arrays:     0"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid = pv.RectilinearGrid( df['X'].unique(),df['Y'].unique(),df['Z'].unique())\n",
    "grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "8d50392d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['logres'] = -9999\n",
    "df.loc[df.Resistivity >0,'logres'] = np.log(df['Resistivity'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "f70fabdb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "865157adf840443d90297fd30252c673",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Widget(value=\"<iframe src='http://localhost:63581/index.html?ui=P_0x239a5f879a0_7&reconnect=auto' style='width…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid['resistivity'] = df['Resistivity']\n",
    "#grid['logres'] = np.log(grid['resistivity'])\n",
    "grid['logres'] = df['logres']\n",
    "grid.plot(scalars='logres', clim=(0,10),cmap='seismic_r',show_grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "bc33b069",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pyvista_ndarray([-99999., -99999., -99999., ..., -99999., -99999.,\n",
       "                 -99999.])"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "grid['resistivity']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "7c2d2472",
   "metadata": {},
   "outputs": [],
   "source": [
    "grid.save(r'C:\\Users\\rscott\\Downloads\\Gawler\\AUSLAMP\\149489_00_0\\AusLAMP_model_sgrid\\AusLAMP_SEA.vtr')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "9cf36561",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b74cd5ab36c84ea9bd81f647516d3e77",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Widget(value=\"<iframe src='http://localhost:63581/index.html?ui=P_0x239bb0dcb20_10&reconnect=auto' style='widt…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds = xr.open_dataset(r'C:\\Users\\rscott\\Downloads\\Gawler\\AUSLAMP\\149489_00_0\\AusLAMP_model_sgrid\\AusLAMP_SEA.vtr', engine=\"pyvista\")\n",
    "ds[\"logres\"].pyvista.plot(x=\"x\", y=\"y\", z=\"z\",clim=[0,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "54d9e659",
   "metadata": {},
   "outputs": [],
   "source": [
    "def df_to_xarray(df, data):\n",
    "    data = np.asarray(df[data]).reshape(df.z.unique().size,df.y.unique().size,df.x.unique().size)\n",
    "    da = xr.DataArray(data=data,dims=[\"z\",\"y\",\"x\"],coords={\"z\":df.z.unique(),\"y\":df.y.unique(),\"x\":df.x.unique()})\n",
    "    #da.rio.write_crs('EPSG:4326',inplace=True)\n",
    "    return da\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "ee415c52",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.columns = ['x', 'y', 'z', 'Resistivity', 'I', 'J', 'K', 'logres']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "abafbc96",
   "metadata": {},
   "outputs": [],
   "source": [
    "da = df_to_xarray(df,'logres')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "07580b1f",
   "metadata": {},
   "outputs": [
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       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        [-1.20396949e+00, -1.20396949e+00, -1.20396949e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        [ 5.70659001e+00, -1.20396949e+00, -1.20396949e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        ...,\n",
       "        [ 5.70333997e+00,  5.70345995e+00,  5.70354003e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        [ 5.70332003e+00,  5.70343004e+00,  5.70350005e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        [-9.99900000e+03, -9.99900000e+03, -9.99900000e+03, ...,\n",
       "         -9.99900000e+03, -9.99900000e+03, -9.99900000e+03]]])\n",
       "Coordinates:\n",
       "  * z        (z) float64 -2.869e+05 -2.643e+05 ... -4.46e+03 -4.26e+03\n",
       "  * y        (y) float64 5.067e+06 5.082e+06 5.097e+06 ... 8.427e+06 8.442e+06\n",
       "  * x        (x) float64 -8.754e+05 -8.604e+05 -8.454e+05 ... 1.84e+06 1.855e+06</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'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>z</span>: 60</li><li><span class='xr-has-index'>y</span>: 226</li><li><span class='xr-has-index'>x</span>: 183</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c862df0f-a12a-44dd-baad-4852138d387d' class='xr-array-in' type='checkbox' checked><label for='section-c862df0f-a12a-44dd-baad-4852138d387d' 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>-9.999e+03 -9.999e+03 -9.999e+03 ... -9.999e+03 -9.999e+03 -9.999e+03</span></div><div class='xr-array-data'><pre>array([[[-9.99900000e+03, -9.99900000e+03, -9.99900000e+03, ...,\n",
       "         -9.99900000e+03, -9.99900000e+03, -9.99900000e+03],\n",
       "        [-9.99900000e+03, -9.99900000e+03, -9.99900000e+03, ...,\n",
       "         -9.99900000e+03, -9.99900000e+03, -9.99900000e+03],\n",
       "        [-9.99900000e+03, -9.99900000e+03, -9.99900000e+03, ...,\n",
       "         -9.99900000e+03, -9.99900000e+03, -9.99900000e+03],\n",
       "        ...,\n",
       "        [-9.99900000e+03, -9.99900000e+03, -9.99900000e+03, ...,\n",
       "         -9.99900000e+03, -9.99900000e+03, -9.99900000e+03],\n",
       "        [-9.99900000e+03, -9.99900000e+03, -9.99900000e+03, ...,\n",
       "         -9.99900000e+03, -9.99900000e+03, -9.99900000e+03],\n",
       "        [-9.99900000e+03, -9.99900000e+03, -9.99900000e+03, ...,\n",
       "         -9.99900000e+03, -9.99900000e+03, -9.99900000e+03]],\n",
       "\n",
       "       [[ 5.70102997e+00,  5.70111004e+00,  5.70108995e+00, ...,\n",
       "          5.67408005e+00,  5.67370996e+00, -9.99900000e+03],\n",
       "        [ 5.70082002e+00,  5.70092000e+00,  5.70092000e+00, ...,\n",
       "          5.67460000e+00,  5.67424005e+00, -9.99900000e+03],\n",
       "        [ 5.70057002e+00,  5.70069003e+00,  5.70069003e+00, ...,\n",
       "          5.67406999e+00,  5.67372002e+00, -9.99900000e+03],\n",
       "...\n",
       "        [ 5.70330995e+00,  5.70344001e+00,  5.70351999e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        [ 5.70329000e+00,  5.70340999e+00,  5.70348000e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        [-9.99900000e+03, -9.99900000e+03, -9.99900000e+03, ...,\n",
       "         -9.99900000e+03, -9.99900000e+03, -9.99900000e+03]],\n",
       "\n",
       "       [[-1.20396949e+00, -1.20396949e+00, -1.20396949e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        [-1.20396949e+00, -1.20396949e+00, -1.20396949e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        [ 5.70659001e+00, -1.20396949e+00, -1.20396949e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        ...,\n",
       "        [ 5.70333997e+00,  5.70345995e+00,  5.70354003e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        [ 5.70332003e+00,  5.70343004e+00,  5.70350005e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        [-9.99900000e+03, -9.99900000e+03, -9.99900000e+03, ...,\n",
       "         -9.99900000e+03, -9.99900000e+03, -9.99900000e+03]]])</pre></div></div></li><li class='xr-section-item'><input id='section-c4abc2e2-cc1f-404d-ba95-5a2f8856717c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c4abc2e2-cc1f-404d-ba95-5a2f8856717c' 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'>-2.869e+05 -2.643e+05 ... -4.26e+03</div><input id='attrs-a5f41777-6d9d-483f-99c9-50435d3bf52b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a5f41777-6d9d-483f-99c9-50435d3bf52b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc1d784c-0e54-4265-92c4-64cdca3ebc48' class='xr-var-data-in' type='checkbox'><label for='data-bc1d784c-0e54-4265-92c4-64cdca3ebc48' 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([-286860., -264260., -243460., -224260., -206560., -190360., -175360.,\n",
       "       -161560., -148860., -137160., -126460., -116560., -107460.,  -99060.,\n",
       "        -91360.,  -84260.,  -77760.,  -71760.,  -66260.,  -61160.,  -56460.,\n",
       "        -52160.,  -48160.,  -44460.,  -41060.,  -37960.,  -35060.,  -32460.,\n",
       "        -30060.,  -27860.,  -25860.,  -23960.,  -22260.,  -20660.,  -19160.,\n",
       "        -17760.,  -16560.,  -15460.,  -14360.,  -13360.,  -12460.,  -11660.,\n",
       "        -10860.,  -10160.,   -9560.,   -8960.,   -8460.,   -7960.,   -7460.,\n",
       "         -7060.,   -6660.,   -6260.,   -5960.,   -5660.,   -5360.,   -5060.,\n",
       "         -4860.,   -4660.,   -4460.,   -4260.])</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'>5.067e+06 5.082e+06 ... 8.442e+06</div><input id='attrs-a54788f0-5579-415e-830d-1849903fb6ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a54788f0-5579-415e-830d-1849903fb6ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e17c3fbd-494f-4209-afe9-3dc4884da245' class='xr-var-data-in' type='checkbox'><label for='data-e17c3fbd-494f-4209-afe9-3dc4884da245' 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([5066983.965332, 5081983.964844, 5096983.964844, ..., 8411984.      ,\n",
       "       8426984.      , 8441984.      ])</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'>-8.754e+05 -8.604e+05 ... 1.855e+06</div><input id='attrs-9636bce5-3a6a-4f1b-b103-c1e40e6ee661' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9636bce5-3a6a-4f1b-b103-c1e40e6ee661' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baae6330-82b9-4d3a-a2f0-1ab22575ff27' class='xr-var-data-in' type='checkbox'><label for='data-baae6330-82b9-4d3a-a2f0-1ab22575ff27' 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([-875410.847168, -860410.847656, -845410.847656, -830410.847656,\n",
       "       -815410.847656, -800410.84375 , -785410.84375 , -770410.84375 ,\n",
       "       -755410.84375 , -740410.84375 , -725410.84375 , -710410.84375 ,\n",
       "       -695110.84375 , -680710.84375 , -665410.84375 , -650110.84375 ,\n",
       "       -635410.84375 , -620410.84375 , -605710.84375 , -590710.84375 ,\n",
       "       -575410.84375 , -560710.84375 , -545410.84375 , -530410.84375 ,\n",
       "       -515410.84375 , -499510.84375 , -485410.84375 , -470410.84375 ,\n",
       "       -455410.84375 , -440110.84375 , -425410.84375 , -410410.84375 ,\n",
       "       -395410.84375 , -380410.84375 , -365410.84375 , -350410.84375 ,\n",
       "       -335110.875   , -320410.875   , -305410.875   , -290710.875   ,\n",
       "       -275710.875   , -260410.875   , -245410.875   , -230410.875   ,\n",
       "       -215410.875   , -200410.875   , -185410.875   , -170110.875   ,\n",
       "       -155110.875   , -140110.875   , -125410.875   , -110110.875   ,\n",
       "        -95410.875   ,  -80110.875   ,  -65110.875   ,  -50410.875   ,\n",
       "        -35410.875   ,  -19810.875   ,   -5710.875   ,    9889.125   ,\n",
       "         24889.125   ,   39289.125   ,   54589.125   ,   69589.125   ,\n",
       "         84589.125   ,   99889.125   ,  114589.125   ,  129289.125   ,\n",
       "        144589.125   ,  159589.125   ,  174589.125   ,  189889.125   ,\n",
       "        204589.125   ,  219589.125   ,  234589.125   ,  250189.125   ,\n",
       "        264589.125   ,  279589.125   ,  294589.125   ,  309589.125   ,\n",
       "        324589.125   ,  339889.125   ,  354289.125   ,  369589.125   ,\n",
       "        384289.125   ,  399589.125   ,  414589.125   ,  429589.125   ,\n",
       "        444589.125   ,  459589.125   ,  474589.125   ,  489589.125   ,\n",
       "        504589.125   ,  519589.125   ,  534589.125   ,  549589.125   ,\n",
       "        564589.125   ,  579589.125   ,  594289.125   ,  609589.125   ,\n",
       "        624589.125   ,  640189.125   ,  654589.125   ,  669589.125   ,\n",
       "        684589.125   ,  699589.125   ,  714589.125   ,  729889.125   ,\n",
       "        744589.125   ,  759589.125   ,  774589.125   ,  789589.125   ,\n",
       "        804589.125   ,  819589.125   ,  834589.125   ,  849589.125   ,\n",
       "        864889.125   ,  879289.125   ,  894589.125   ,  909589.125   ,\n",
       "        924289.125   ,  939889.125   ,  954889.125   ,  970489.125   ,\n",
       "        984589.125   ,  999589.125   , 1014589.125   , 1029589.125   ,\n",
       "       1044589.125   , 1059289.125   , 1074889.125   , 1089589.125   ,\n",
       "       1104889.125   , 1119589.125   , 1134589.125   , 1149289.125   ,\n",
       "       1164589.125   , 1179589.125   , 1194589.125   , 1209589.125   ,\n",
       "       1224289.125   , 1239889.25    , 1254589.25    , 1269589.25    ,\n",
       "       1284589.25    , 1299589.25    , 1314589.25    , 1329589.25    ,\n",
       "       1344589.25    , 1359589.25    , 1374589.25    , 1389589.25    ,\n",
       "       1404589.25    , 1419589.25    , 1434589.25    , 1449589.25    ,\n",
       "       1464589.25    , 1479589.25    , 1494589.25    , 1509589.25    ,\n",
       "       1524589.25    , 1539589.25    , 1554589.25    , 1569589.25    ,\n",
       "       1584589.25    , 1599589.25    , 1614289.25    , 1629589.25    ,\n",
       "       1644589.25    , 1659589.25    , 1674589.25    , 1689589.25    ,\n",
       "       1704589.25    , 1719589.25    , 1734589.25    , 1749589.25    ,\n",
       "       1764589.25    , 1779589.25    , 1794589.25    , 1809589.25    ,\n",
       "       1824589.25    , 1839589.25    , 1854589.25    ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a8cfc128-55c3-4419-b877-8c5f6fc7cba2' class='xr-section-summary-in' type='checkbox'  ><label for='section-a8cfc128-55c3-4419-b877-8c5f6fc7cba2' 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-defc0ca9-0dc2-451f-99f7-56458c8cf7d8' class='xr-index-data-in' type='checkbox'/><label for='index-defc0ca9-0dc2-451f-99f7-56458c8cf7d8' 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(Float64Index([-286860.0, -264260.0, -243460.0, -224260.0, -206560.0, -190360.0,\n",
       "              -175360.0, -161560.0, -148860.0, -137160.0, -126460.0, -116560.0,\n",
       "              -107460.0,  -99060.0,  -91360.0,  -84260.0,  -77760.0,  -71760.0,\n",
       "               -66260.0,  -61160.0,  -56460.0,  -52160.0,  -48160.0,  -44460.0,\n",
       "               -41060.0,  -37960.0,  -35060.0,  -32460.0,  -30060.0,  -27860.0,\n",
       "               -25860.0,  -23960.0,  -22260.0,  -20660.0,  -19160.0,  -17760.0,\n",
       "               -16560.0,  -15460.0,  -14360.0,  -13360.0,  -12460.0,  -11660.0,\n",
       "               -10860.0,  -10160.0,   -9560.0,   -8960.0,   -8460.0,   -7960.0,\n",
       "                -7460.0,   -7060.0,   -6660.0,   -6260.0,   -5960.0,   -5660.0,\n",
       "                -5360.0,   -5060.0,   -4860.0,   -4660.0,   -4460.0,\n",
       "                -4260.0],\n",
       "             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-0130181e-7f6a-4883-abd2-5d26967e95a9' class='xr-index-data-in' type='checkbox'/><label for='index-0130181e-7f6a-4883-abd2-5d26967e95a9' 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(Float64Index([5066983.965332031,  5081983.96484375,  5096983.96484375,\n",
       "               5111983.96484375,     5126983.96875,     5141983.96875,\n",
       "                  5156983.96875,     5171983.96875,     5186983.96875,\n",
       "                  5201983.96875,\n",
       "              ...\n",
       "                      8306984.0,         8321984.0,         8336984.0,\n",
       "                      8351984.0,         8366984.0,         8381984.0,\n",
       "                      8396984.0,         8411984.0,         8426984.0,\n",
       "                      8441984.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=226))</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-fa4d2c04-ed3f-4862-a51c-74d4d5ce61b1' class='xr-index-data-in' type='checkbox'/><label for='index-fa4d2c04-ed3f-4862-a51c-74d4d5ce61b1' 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(Float64Index([-875410.8471679688,   -860410.84765625,   -845410.84765625,\n",
       "                -830410.84765625,   -815410.84765625,      -800410.84375,\n",
       "                   -785410.84375,      -770410.84375,      -755410.84375,\n",
       "                   -740410.84375,\n",
       "              ...\n",
       "                      1719589.25,         1734589.25,         1749589.25,\n",
       "                      1764589.25,         1779589.25,         1794589.25,\n",
       "                      1809589.25,         1824589.25,         1839589.25,\n",
       "                      1854589.25],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=183))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1f7941e9-ebc9-4f07-831f-b818a58f9406' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1f7941e9-ebc9-4f07-831f-b818a58f9406' 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.DataArray (z: 60, y: 226, x: 183)>\n",
       "array([[[-9.99900000e+03, -9.99900000e+03, -9.99900000e+03, ...,\n",
       "         -9.99900000e+03, -9.99900000e+03, -9.99900000e+03],\n",
       "        [-9.99900000e+03, -9.99900000e+03, -9.99900000e+03, ...,\n",
       "         -9.99900000e+03, -9.99900000e+03, -9.99900000e+03],\n",
       "        [-9.99900000e+03, -9.99900000e+03, -9.99900000e+03, ...,\n",
       "         -9.99900000e+03, -9.99900000e+03, -9.99900000e+03],\n",
       "        ...,\n",
       "        [-9.99900000e+03, -9.99900000e+03, -9.99900000e+03, ...,\n",
       "         -9.99900000e+03, -9.99900000e+03, -9.99900000e+03],\n",
       "        [-9.99900000e+03, -9.99900000e+03, -9.99900000e+03, ...,\n",
       "         -9.99900000e+03, -9.99900000e+03, -9.99900000e+03],\n",
       "        [-9.99900000e+03, -9.99900000e+03, -9.99900000e+03, ...,\n",
       "         -9.99900000e+03, -9.99900000e+03, -9.99900000e+03]],\n",
       "\n",
       "       [[ 5.70102997e+00,  5.70111004e+00,  5.70108995e+00, ...,\n",
       "          5.67408005e+00,  5.67370996e+00, -9.99900000e+03],\n",
       "        [ 5.70082002e+00,  5.70092000e+00,  5.70092000e+00, ...,\n",
       "          5.67460000e+00,  5.67424005e+00, -9.99900000e+03],\n",
       "        [ 5.70057002e+00,  5.70069003e+00,  5.70069003e+00, ...,\n",
       "          5.67406999e+00,  5.67372002e+00, -9.99900000e+03],\n",
       "...\n",
       "        [ 5.70330995e+00,  5.70344001e+00,  5.70351999e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        [ 5.70329000e+00,  5.70340999e+00,  5.70348000e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        [-9.99900000e+03, -9.99900000e+03, -9.99900000e+03, ...,\n",
       "         -9.99900000e+03, -9.99900000e+03, -9.99900000e+03]],\n",
       "\n",
       "       [[-1.20396949e+00, -1.20396949e+00, -1.20396949e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        [-1.20396949e+00, -1.20396949e+00, -1.20396949e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        [ 5.70659001e+00, -1.20396949e+00, -1.20396949e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        ...,\n",
       "        [ 5.70333997e+00,  5.70345995e+00,  5.70354003e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        [ 5.70332003e+00,  5.70343004e+00,  5.70350005e+00, ...,\n",
       "         -1.20396949e+00, -1.20396949e+00, -9.99900000e+03],\n",
       "        [-9.99900000e+03, -9.99900000e+03, -9.99900000e+03, ...,\n",
       "         -9.99900000e+03, -9.99900000e+03, -9.99900000e+03]]])\n",
       "Coordinates:\n",
       "  * z        (z) float64 -2.869e+05 -2.643e+05 ... -4.46e+03 -4.26e+03\n",
       "  * y        (y) float64 5.067e+06 5.082e+06 5.097e+06 ... 8.427e+06 8.442e+06\n",
       "  * x        (x) float64 -8.754e+05 -8.604e+05 -8.454e+05 ... 1.84e+06 1.855e+06"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "da"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "e1f90c09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x23a055d4040>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "da.sel(z=-77760).plot(vmin=0,cmap='seismic_r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "c5dea068",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.backends.zarr.ZarrStore at 0x23a144d7f20>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "da.to_dataset(name='logres').to_zarr(r'C:\\Users\\rscott\\Downloads\\Gawler\\AUSLAMP\\149489_00_0\\AusLAMP_model_sgrid\\AUSLAMP_SEA.zarr')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "4d7af98f",
   "metadata": {},
   "outputs": [],
   "source": [
    "da7776 = da.sel(z=-77760)\n",
    "da7776 = da7776.rio.write_nodata(-9999.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "3170a96e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x23a147316a0>"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "da7776.where(da7776 >=0,other=np.nan).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5592a38c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}