{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 22 Creating Temperature Maps from GemPy Models\n",
    "\n",
    "Temperature maps are an important tool for Geologists to visualize the temperature distribution of layers at depth. A simple model (Example 1) is created of which temperature maps for the two existing layers are created. The temperature will be calculated as function of the thickness between a given topography and the distance to the layer at depth.\n",
    "\n",
    "<img src=\"../images/tutorial22_cover.png\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set File Paths and download Tutorial Data\n",
    "\n",
    "If you downloaded the latest `GemGIS` version from the Github repository, append the path so that the package can be imported successfully. Otherwise, it is recommended to install `GemGIS` via `pip install gemgis` and import `GemGIS` using `import gemgis as gg`. In addition, the file path to the folder where the data is being stored is set. The tutorial data is downloaded using Pooch (https://www.fatiando.org/pooch/latest/index.html) and stored in the specified folder. Use `pip install pooch` if Pooch is not installed on your system yet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-17T11:18:43.153701Z",
     "start_time": "2021-03-17T11:18:40.874769Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING (theano.configdefaults): g++ not available, if using conda: `conda install m2w64-toolchain`\n",
      "C:\\Users\\ale93371\\Anaconda3\\envs\\test_gempy\\lib\\site-packages\\theano\\configdefaults.py:560: UserWarning: DeprecationWarning: there is no c++ compiler.This is deprecated and with Theano 0.11 a c++ compiler will be mandatory\n",
      "  warnings.warn(\"DeprecationWarning: there is no c++ compiler.\"\n",
      "WARNING (theano.configdefaults): g++ not detected ! Theano will be unable to execute optimized C-implementations (for both CPU and GPU) and will default to Python implementations. Performance will be severely degraded. To remove this warning, set Theano flags cxx to an empty string.\n",
      "WARNING (theano.tensor.blas): Using NumPy C-API based implementation for BLAS functions.\n"
     ]
    }
   ],
   "source": [
    "import gemgis as gg\n",
    "\n",
    "file_path ='data/22_creating_temperature_maps_from_gempy_models/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-17T11:18:43.231240Z",
     "start_time": "2021-03-17T11:18:43.202196Z"
    }
   },
   "outputs": [],
   "source": [
    "gg.download_gemgis_data.download_tutorial_data(filename=\"22_creating_temperature_maps_from_gempy_models.zip\", dirpath=file_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:32:41.014097Z",
     "start_time": "2021-01-02T12:32:38.039273Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING (theano.configdefaults): g++ not available, if using conda: `conda install m2w64-toolchain`\n",
      "C:\\Users\\ale93371\\Anaconda3\\envs\\test_gempy\\lib\\site-packages\\theano\\configdefaults.py:560: UserWarning: DeprecationWarning: there is no c++ compiler.This is deprecated and with Theano 0.11 a c++ compiler will be mandatory\n",
      "  warnings.warn(\"DeprecationWarning: there is no c++ compiler.\"\n",
      "WARNING (theano.configdefaults): g++ not detected ! Theano will be unable to execute optimized C-implementations (for both CPU and GPU) and will default to Python implementations. Performance will be severely degraded. To remove this warning, set Theano flags cxx to an empty string.\n",
      "WARNING (theano.tensor.blas): Using NumPy C-API based implementation for BLAS functions.\n"
     ]
    }
   ],
   "source": [
    "import geopandas as gpd\n",
    "import rasterio\n",
    "\n",
    "interfaces = gpd.read_file(file_path + 'interfaces.shp')\n",
    "orientations = gpd.read_file(file_path + 'orientations.shp')\n",
    "extent = [0,972,0,1069, 300, 800]\n",
    "resolution = [50, 50, 50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:32:41.044789Z",
     "start_time": "2021-01-02T12:32:41.018104Z"
    }
   },
   "outputs": [
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    "interfaces.head()"
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     "end_time": "2021-01-02T12:32:41.060765Z",
     "start_time": "2021-01-02T12:32:41.046755Z"
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   "outputs": [
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       "      <td>1</td>\n",
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       "  formation   dip  azimuth      X      Y      Z                 geometry  \\\n",
       "0       Ton 30.50   180.00  96.47 451.56 477.73   POINT (96.471 451.564)   \n",
       "1       Ton 30.50   180.00 172.76 661.88 481.73  POINT (172.761 661.877)   \n",
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       "\n",
       "   polarity  \n",
       "0         1  \n",
       "1         1  \n",
       "2         1  \n",
       "3         1  \n",
       "4         1  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "orientations['polarity'] = 1\n",
    "orientations.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating the GemPy Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:32:41.076768Z",
     "start_time": "2021-01-02T12:32:41.062757Z"
    }
   },
   "outputs": [],
   "source": [
    "import sys  \n",
    "sys.path.append('../../../../gempy-master')\n",
    "import gempy as gp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:32:41.267668Z",
     "start_time": "2021-01-02T12:32:41.078775Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Model1  2021-01-02 13:32"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_model = gp.create_model('Model1')\n",
    "geo_model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Initiating the Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:32:41.442868Z",
     "start_time": "2021-01-02T12:32:41.272678Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Active grids: ['regular']\n"
     ]
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       "                        <td id=\"T_9b306207_4cf6_11eb_8d4f_5048494f4e43row1_col1\" class=\"data row1 col1\" >Default series</td>\n",
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      "text/plain": [
       "  surface          series  order_surfaces    color  id\n",
       "0   Sand1  Default series               1  #015482   1\n",
       "1     Ton  Default series               2  #9f0052   2"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "gp.init_data(geo_model, extent, resolution,\n",
    "             surface_points_df = interfaces,\n",
    "             orientations_df = orientations,\n",
    "             default_values=True)\n",
    "geo_model.surfaces"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The vertices and edges are currently ``NaN`` values, so no model has been computed so far. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:32:41.458719Z",
     "start_time": "2021-01-02T12:32:41.444709Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>surface</th>\n",
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       "      <th>isBasement</th>\n",
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       "      <th>0</th>\n",
       "      <td>Sand1</td>\n",
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       "      <td>True</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>1</th>\n",
       "      <td>Ton</td>\n",
       "      <td>Default series</td>\n",
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       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>#9f0052</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
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       "  </tbody>\n",
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      ],
      "text/plain": [
       "  surface          series  order_surfaces  isBasement isFault  isActive  \\\n",
       "0   Sand1  Default series               1       False   False      True   \n",
       "1     Ton  Default series               2        True   False      True   \n",
       "\n",
       "   hasData    color vertices edges sfai  id  \n",
       "0     True  #015482      NaN   NaN  NaN   1  \n",
       "1     True  #9f0052      NaN   NaN  NaN   2  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_model.surfaces.df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mapping Stack to Surfaces"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:32:41.554492Z",
     "start_time": "2021-01-02T12:32:41.459721Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "#T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row0_col3{\n",
       "            background-color:  #015482;\n",
       "        }#T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row1_col3{\n",
       "            background-color:  #9f0052;\n",
       "        }#T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row2_col3{\n",
       "            background-color:  #ffbe00;\n",
       "        }</style><table id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >surface</th>        <th class=\"col_heading level0 col1\" >series</th>        <th class=\"col_heading level0 col2\" >order_surfaces</th>        <th class=\"col_heading level0 col3\" >color</th>        <th class=\"col_heading level0 col4\" >id</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row0_col0\" class=\"data row0 col0\" >Sand1</td>\n",
       "                        <td id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row0_col1\" class=\"data row0 col1\" >Strat_Series</td>\n",
       "                        <td id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row0_col2\" class=\"data row0 col2\" >1</td>\n",
       "                        <td id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row0_col3\" class=\"data row0 col3\" >#015482</td>\n",
       "                        <td id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row0_col4\" class=\"data row0 col4\" >1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row1_col0\" class=\"data row1 col0\" >Ton</td>\n",
       "                        <td id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row1_col1\" class=\"data row1 col1\" >Strat_Series</td>\n",
       "                        <td id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row1_col2\" class=\"data row1 col2\" >2</td>\n",
       "                        <td id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row1_col3\" class=\"data row1 col3\" >#9f0052</td>\n",
       "                        <td id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row1_col4\" class=\"data row1 col4\" >2</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row2_col0\" class=\"data row2 col0\" >basement</td>\n",
       "                        <td id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row2_col1\" class=\"data row2 col1\" >Strat_Series</td>\n",
       "                        <td id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row2_col2\" class=\"data row2 col2\" >3</td>\n",
       "                        <td id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row2_col3\" class=\"data row2 col3\" >#ffbe00</td>\n",
       "                        <td id=\"T_9b425aeb_4cf6_11eb_8cd8_5048494f4e43row2_col4\" class=\"data row2 col4\" >3</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "    surface        series  order_surfaces    color  id\n",
       "0     Sand1  Strat_Series               1  #015482   1\n",
       "1       Ton  Strat_Series               2  #9f0052   2\n",
       "2  basement  Strat_Series               3  #ffbe00   3"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gp.map_stack_to_surfaces(geo_model,\n",
    "                         {\"Strat_Series\": ('Sand1', 'Ton')},\n",
    "                         remove_unused_series=True)\n",
    "geo_model.add_surfaces('basement')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Loading Topography"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:32:41.824074Z",
     "start_time": "2021-01-02T12:32:41.555499Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cropped raster to geo_model.grid.extent.\n",
      "depending on the size of the raster, this can take a while...\n",
      "storing converted file...\n",
      "Active grids: ['regular' 'topography']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Grid Object. Values: \n",
       "array([[   9.72      ,   10.69      ,  305.        ],\n",
       "       [   9.72      ,   10.69      ,  315.        ],\n",
       "       [   9.72      ,   10.69      ,  325.        ],\n",
       "       ...,\n",
       "       [ 970.056     , 1059.28181818,  622.0892334 ],\n",
       "       [ 970.056     , 1063.16909091,  622.06713867],\n",
       "       [ 970.056     , 1067.05636364,  622.05786133]])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_model.set_topography(\n",
    "    source='gdal', filepath='../../../../gemgis_data/data/22_creating_temperature_maps_from_gempy_models/raster.tif')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Setting Interpolator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:32:44.352963Z",
     "start_time": "2021-01-02T12:32:41.826064Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Compiling theano function...\n",
      "Level of Optimization:  fast_compile\n",
      "Device:  cpu\n",
      "Precision:  float64\n",
      "Number of faults:  0\n",
      "Compilation Done!\n",
      "Kriging values: \n",
      "                   values\n",
      "range            1528.90\n",
      "$C_o$           55655.83\n",
      "drift equations      [3]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<gempy.core.interpolator.InterpolatorModel at 0x201ed3abfa0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gp.set_interpolator(geo_model,\n",
    "                    compile_theano=True,\n",
    "                    theano_optimizer='fast_compile',\n",
    "                    verbose=[],\n",
    "                    update_kriging = False\n",
    "                    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Computing Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:32:54.362032Z",
     "start_time": "2021-01-02T12:32:44.354970Z"
    }
   },
   "outputs": [],
   "source": [
    "sol = gp.compute_model(geo_model, compute_mesh=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The surfaces DataFrame now contains values for vertices and edges."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:32:54.473738Z",
     "start_time": "2021-01-02T12:32:54.364042Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>surface</th>\n",
       "      <th>series</th>\n",
       "      <th>order_surfaces</th>\n",
       "      <th>isBasement</th>\n",
       "      <th>isFault</th>\n",
       "      <th>isActive</th>\n",
       "      <th>hasData</th>\n",
       "      <th>color</th>\n",
       "      <th>vertices</th>\n",
       "      <th>edges</th>\n",
       "      <th>sfai</th>\n",
       "      <th>id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sand1</td>\n",
       "      <td>Strat_Series</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>#015482</td>\n",
       "      <td>[[29.160000000000004, 194.27877317428587, 305....</td>\n",
       "      <td>[[2, 1, 0], [2, 0, 3], [3, 4, 2], [2, 4, 5], [...</td>\n",
       "      <td>0.26</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ton</td>\n",
       "      <td>Strat_Series</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>#9f0052</td>\n",
       "      <td>[[29.160000000000004, 365.78652999877926, 305....</td>\n",
       "      <td>[[2, 1, 0], [2, 0, 3], [3, 4, 2], [2, 4, 5], [...</td>\n",
       "      <td>0.21</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>basement</td>\n",
       "      <td>Strat_Series</td>\n",
       "      <td>3</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>#ffbe00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    surface        series  order_surfaces  isBasement isFault  isActive  \\\n",
       "0     Sand1  Strat_Series               1       False   False      True   \n",
       "1       Ton  Strat_Series               2       False   False      True   \n",
       "2  basement  Strat_Series               3        True   False      True   \n",
       "\n",
       "   hasData    color                                           vertices  \\\n",
       "0     True  #015482  [[29.160000000000004, 194.27877317428587, 305....   \n",
       "1     True  #9f0052  [[29.160000000000004, 365.78652999877926, 305....   \n",
       "2     True  #ffbe00                                                NaN   \n",
       "\n",
       "                                               edges sfai  id  \n",
       "0  [[2, 1, 0], [2, 0, 3], [3, 4, 2], [2, 4, 5], [... 0.26   1  \n",
       "1  [[2, 1, 0], [2, 0, 3], [3, 4, 2], [2, 4, 5], [... 0.21   2  \n",
       "2                                                NaN  NaN   3  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_model.surfaces.df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-13T08:30:15.525172Z",
     "start_time": "2020-12-13T08:30:15.511170Z"
    }
   },
   "source": [
    "### Plotting the 3D Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:32:56.381606Z",
     "start_time": "2021-01-02T12:32:54.475721Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=1024x768 at 0x201EF735FA0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gpv = gp.plot_3d(geo_model, image=False, show_topography=True,\n",
    "                 plotter_type='basic', notebook=True, show_lith=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating Temperature Maps\n",
    "\n",
    "Temperature Maps in GemGIS can be created by passing the Digital Elevation Model as a Rasterio Object and the surface in the subsurface for which the temperature is supposed to be calculated. \n",
    "\n",
    "\n",
    "### Creating Depth Maps\n",
    "By providing a list of surfaces, a dict containing the data for different surfaces is created. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:33:32.437345Z",
     "start_time": "2021-01-02T12:33:32.414232Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Sand1': [PolyData (0x201ee61f640)\n",
       "    N Cells:\t4174\n",
       "    N Points:\t2303\n",
       "    X Bounds:\t9.720e+00, 9.623e+02\n",
       "    Y Bounds:\t1.881e+02, 9.491e+02\n",
       "    Z Bounds:\t3.050e+02, 7.250e+02\n",
       "    N Arrays:\t1,\n",
       "  '#015482'],\n",
       " 'Ton': [PolyData (0x201fb4bf9a0)\n",
       "    N Cells:\t5111\n",
       "    N Points:\t2739\n",
       "    X Bounds:\t9.720e+00, 9.623e+02\n",
       "    Y Bounds:\t3.578e+02, 1.058e+03\n",
       "    Z Bounds:\t3.050e+02, 7.265e+02\n",
       "    N Arrays:\t1,\n",
       "  '#9f0052']}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict_all = gg.visualization.create_depth_maps_from_gempy(geo_model=geo_model,\n",
    "                                                         surfaces=['Sand1', 'Ton'])\n",
    "\n",
    "dict_all"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The temperature for the Sand Surface is now being calculated."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:35:35.279178Z",
     "start_time": "2021-01-02T12:35:35.266103Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<table>\n",
       "<tr><th>PolyData</th><th>Information</th></tr>\n",
       "<tr><td>N Cells</td><td>4174</td></tr>\n",
       "<tr><td>N Points</td><td>2303</td></tr>\n",
       "<tr><td>X Bounds</td><td>9.720e+00, 9.623e+02</td></tr>\n",
       "<tr><td>Y Bounds</td><td>1.881e+02, 9.491e+02</td></tr>\n",
       "<tr><td>Z Bounds</td><td>3.050e+02, 7.250e+02</td></tr>\n",
       "<tr><td>N Arrays</td><td>0</td></tr>\n",
       "</table>\n",
       "\n"
      ],
      "text/plain": [
       "PolyData (0x201ee61f640)\n",
       "  N Cells:\t4174\n",
       "  N Points:\t2303\n",
       "  X Bounds:\t9.720e+00, 9.623e+02\n",
       "  Y Bounds:\t1.881e+02, 9.491e+02\n",
       "  Z Bounds:\t3.050e+02, 7.250e+02\n",
       "  N Arrays:\t0"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mesh = dict_all['Sand1'][0]\n",
    "mesh.clear_arrays()\n",
    "mesh"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Coordinates of the vertices."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:35:35.719507Z",
     "start_time": "2021-01-02T12:35:35.710377Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pyvista_ndarray([[ 29.16      , 194.27877317, 305.        ],\n",
       "                 [  9.72      , 188.12027063, 305.        ],\n",
       "                 [  9.72      , 203.11      , 314.39133763],\n",
       "                 ...,\n",
       "                 [958.49513855, 545.19      , 495.        ],\n",
       "                 [962.28      , 546.6037711 , 495.        ],\n",
       "                 [962.28      , 545.19      , 494.12916183]])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mesh.points"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Opening the Digital Elevation Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:35:36.083358Z",
     "start_time": "2021-01-02T12:35:36.066988Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[482.82904, 485.51953, 488.159  , ..., 618.8612 , 620.4424 ,\n",
       "        622.05786],\n",
       "       [481.6521 , 484.32193, 486.93958, ..., 618.8579 , 620.44556,\n",
       "        622.06714],\n",
       "       [480.52563, 483.18893, 485.80444, ..., 618.8688 , 620.4622 ,\n",
       "        622.08923],\n",
       "       ...,\n",
       "       [325.49225, 327.21985, 328.94498, ..., 353.6889 , 360.03125,\n",
       "        366.3984 ],\n",
       "       [325.0538 , 326.78473, 328.51276, ..., 351.80603, 357.84106,\n",
       "        363.96167],\n",
       "       [324.61444, 326.34845, 328.0794 , ..., 350.09247, 355.87598,\n",
       "        361.78635]], dtype=float32)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dem = rasterio.open(file_path + 'raster.tif')\n",
    "dem.read(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating the mesh containing the temperature data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:35:36.541854Z",
     "start_time": "2021-01-02T12:35:36.406324Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table><tr><th>Header</th><th>Data Arrays</th></tr><tr><td>\n",
       "<table>\n",
       "<tr><th>UnstructuredGrid</th><th>Information</th></tr>\n",
       "<tr><td>N Cells</td><td>3946</td></tr>\n",
       "<tr><td>N Points</td><td>2130</td></tr>\n",
       "<tr><td>X Bounds</td><td>9.720e+00, 9.623e+02</td></tr>\n",
       "<tr><td>Y Bounds</td><td>1.881e+02, 9.491e+02</td></tr>\n",
       "<tr><td>Z Bounds</td><td>3.050e+02, 7.250e+02</td></tr>\n",
       "<tr><td>N Arrays</td><td>2</td></tr>\n",
       "</table>\n",
       "\n",
       "</td><td>\n",
       "<table>\n",
       "<tr><th>Name</th><th>Field</th><th>Type</th><th>N Comp</th><th>Min</th><th>Max</th></tr>\n",
       "<tr><td><b>Thickness [m]</b></td><td>Points</td><td>float64</td><td>1</td><td>9.321e-02</td><td>2.020e+02</td></tr>\n",
       "<tr><td>Temperature [°C]</td><td>Points</td><td>float64</td><td>1</td><td>1.000e+01</td><td>1.606e+01</td></tr>\n",
       "</table>\n",
       "\n",
       "</td></tr> </table>"
      ],
      "text/plain": [
       "UnstructuredGrid (0x20201e84fa0)\n",
       "  N Cells:\t3946\n",
       "  N Points:\t2130\n",
       "  X Bounds:\t9.720e+00, 9.623e+02\n",
       "  Y Bounds:\t1.881e+02, 9.491e+02\n",
       "  Z Bounds:\t3.050e+02, 7.250e+02\n",
       "  N Arrays:\t2"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mesh = gg.visualization.create_temperature_map(dem=dem, \n",
    "                                               mesh=mesh, \n",
    "                                               name= 'Thickness [m]', \n",
    "                                               apply_threshold=True, \n",
    "                                               tsurface=10,\n",
    "                                               gradient=0.03)\n",
    "mesh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:35:36.653901Z",
     "start_time": "2021-01-02T12:35:36.639899Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([34.28413844, 41.96035767, 50.86764526, ...,  0.58549309,\n",
       "        0.42822266,  0.42822266])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mesh['Thickness [m]']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:35:36.797385Z",
     "start_time": "2021-01-02T12:35:36.787390Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([11.02852415, 11.25881073, 11.52602936, ..., 10.01756479,\n",
       "       10.01284668, 10.01284668])"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mesh['Temperature [°C]']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:35:37.053343Z",
     "start_time": "2021-01-02T12:35:37.041448Z"
    }
   },
   "outputs": [],
   "source": [
    "import pyvista as pv\n",
    "surf = pv.PolyData(geo_model._grid.topography.values)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plotting the temperature map and the topography. It can be seen that the temperatures at the edges are equal to 10 degrees C. These are the areas where the layer is outcropping at the surface. The temperatures are higher at the center of the surface where the layer has a higher thickness."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-02T12:35:55.805794Z",
     "start_time": "2021-01-02T12:35:55.500928Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=1024x768 at 0x2020202F610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sargs = dict(fmt=\"%.0f\", color='black')\n",
    "\n",
    "\n",
    "p = pv.Plotter(notebook=True)\n",
    "p.add_mesh(mesh=mesh, scalars='Temperature [°C]', cmap='coolwarm', scalar_bar_args=sargs)\n",
    "p.add_mesh(surf, opacity=0.025)\n",
    "\n",
    "p.set_background('white')\n",
    "p.show_grid(color='black')\n",
    "p.show()"
   ]
  }
 ],
 "metadata": {
  "hide_input": false,
  "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": "3.10.8"
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}