{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How to create shapefiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import nes\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. From grids that have already been created"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Original path: /gpfs/scratch/bsc32/bsc32538/original_files/franco_interp.nc\n",
    "# Regular lat-lon grid from MONARCH\n",
    "grid_path = '/gpfs/projects/bsc32/models/NES_tutorial_data/franco_interp.nc'\n",
    "grid = nes.open_netcdf(path=grid_path, info=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The history saving thread hit an unexpected error (OperationalError('database is locked')).History will not be written to the database.\n",
      "Rank 000: Loading sconcno2 var (1/1)\n",
      "Rank 000: Loaded sconcno2 var ((25, 1, 115, 165))\n"
     ]
    }
   ],
   "source": [
    "grid.load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "grid.to_shapefile(path='regular_shp', \n",
    "                  time=datetime.datetime(2019, 1, 1, 10, 0), \n",
    "                  lev=0, var_list=['sconcno2'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>geometry</th>\n",
       "      <th>sconcno2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>POLYGON ((-11.85000 33.85000, -11.75000 33.850...</td>\n",
       "      <td>0.000288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>POLYGON ((-11.75000 33.85000, -11.65000 33.850...</td>\n",
       "      <td>0.000271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>POLYGON ((-11.65000 33.85000, -11.55000 33.850...</td>\n",
       "      <td>0.000258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>POLYGON ((-11.55000 33.85000, -11.45000 33.850...</td>\n",
       "      <td>0.000254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>POLYGON ((-11.45000 33.85000, -11.35000 33.850...</td>\n",
       "      <td>0.000262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18970</th>\n",
       "      <td>POLYGON ((4.15000 45.25000, 4.25000 45.25000, ...</td>\n",
       "      <td>0.003521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18971</th>\n",
       "      <td>POLYGON ((4.25000 45.25000, 4.35000 45.25000, ...</td>\n",
       "      <td>0.003924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18972</th>\n",
       "      <td>POLYGON ((4.35000 45.25000, 4.45000 45.25000, ...</td>\n",
       "      <td>0.004454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18973</th>\n",
       "      <td>POLYGON ((4.45000 45.25000, 4.55000 45.25000, ...</td>\n",
       "      <td>0.004619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18974</th>\n",
       "      <td>POLYGON ((4.55000 45.25000, 4.65000 45.25000, ...</td>\n",
       "      <td>0.004712</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18975 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                geometry  sconcno2\n",
       "FID                                                               \n",
       "0      POLYGON ((-11.85000 33.85000, -11.75000 33.850...  0.000288\n",
       "1      POLYGON ((-11.75000 33.85000, -11.65000 33.850...  0.000271\n",
       "2      POLYGON ((-11.65000 33.85000, -11.55000 33.850...  0.000258\n",
       "3      POLYGON ((-11.55000 33.85000, -11.45000 33.850...  0.000254\n",
       "4      POLYGON ((-11.45000 33.85000, -11.35000 33.850...  0.000262\n",
       "...                                                  ...       ...\n",
       "18970  POLYGON ((4.15000 45.25000, 4.25000 45.25000, ...  0.003521\n",
       "18971  POLYGON ((4.25000 45.25000, 4.35000 45.25000, ...  0.003924\n",
       "18972  POLYGON ((4.35000 45.25000, 4.45000 45.25000, ...  0.004454\n",
       "18973  POLYGON ((4.45000 45.25000, 4.55000 45.25000, ...  0.004619\n",
       "18974  POLYGON ((4.55000 45.25000, 4.65000 45.25000, ...  0.004712\n",
       "\n",
       "[18975 rows x 2 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid.shapefile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3366e00e90>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "[encoded data, 5124 characters]",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid.shapefile.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3366dab750>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid.shapefile[:10].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. From grids created from scratch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Regular lat-lon grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "lat_orig = 41.1\n",
    "lon_orig = 1.8\n",
    "inc_lat = 0.1\n",
    "inc_lon = 0.1\n",
    "n_lat = 50\n",
    "n_lon = 100\n",
    "regular_grid = nes.create_nes(comm=None, info=False, projection='regular',\n",
    "                              lat_orig=lat_orig, lon_orig=lon_orig, inc_lat=inc_lat, inc_lon=inc_lon, \n",
    "                              n_lat=n_lat, n_lon=n_lon)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
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       "<p>5000 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               geometry\n",
       "FID                                                    \n",
       "0     POLYGON ((1.80000 41.10000, 1.90000 41.10000, ...\n",
       "1     POLYGON ((1.90000 41.10000, 2.00000 41.10000, ...\n",
       "2     POLYGON ((2.00000 41.10000, 2.10000 41.10000, ...\n",
       "3     POLYGON ((2.10000 41.10000, 2.20000 41.10000, ...\n",
       "4     POLYGON ((2.20000 41.10000, 2.30000 41.10000, ...\n",
       "...                                                 ...\n",
       "4995  POLYGON ((11.30000 46.00000, 11.40000 46.00000...\n",
       "4996  POLYGON ((11.40000 46.00000, 11.50000 46.00000...\n",
       "4997  POLYGON ((11.50000 46.00000, 11.60000 46.00000...\n",
       "4998  POLYGON ((11.60000 46.00000, 11.70000 46.00000...\n",
       "4999  POLYGON ((11.70000 46.00000, 11.80000 46.00000...\n",
       "\n",
       "[5000 rows x 1 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regular_grid.create_shapefile()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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       "      <th>4</th>\n",
       "      <td>POLYGON ((2.20000 41.10000, 2.30000 41.10000, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4995</th>\n",
       "      <td>POLYGON ((11.30000 46.00000, 11.40000 46.00000...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4996</th>\n",
       "      <td>POLYGON ((11.40000 46.00000, 11.50000 46.00000...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4997</th>\n",
       "      <td>POLYGON ((11.50000 46.00000, 11.60000 46.00000...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4998</th>\n",
       "      <td>POLYGON ((11.60000 46.00000, 11.70000 46.00000...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4999</th>\n",
       "      <td>POLYGON ((11.70000 46.00000, 11.80000 46.00000...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5000 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               geometry\n",
       "FID                                                    \n",
       "0     POLYGON ((1.80000 41.10000, 1.90000 41.10000, ...\n",
       "1     POLYGON ((1.90000 41.10000, 2.00000 41.10000, ...\n",
       "2     POLYGON ((2.00000 41.10000, 2.10000 41.10000, ...\n",
       "3     POLYGON ((2.10000 41.10000, 2.20000 41.10000, ...\n",
       "4     POLYGON ((2.20000 41.10000, 2.30000 41.10000, ...\n",
       "...                                                 ...\n",
       "4995  POLYGON ((11.30000 46.00000, 11.40000 46.00000...\n",
       "4996  POLYGON ((11.40000 46.00000, 11.50000 46.00000...\n",
       "4997  POLYGON ((11.50000 46.00000, 11.60000 46.00000...\n",
       "4998  POLYGON ((11.60000 46.00000, 11.70000 46.00000...\n",
       "4999  POLYGON ((11.70000 46.00000, 11.80000 46.00000...\n",
       "\n",
       "[5000 rows x 1 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regular_grid.shapefile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3366d94d90>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "[encoded data, 4440 characters]",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "regular_grid.shapefile.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3366d4a910>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "regular_grid.shapefile[:10].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Rotated grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "centre_lat = 51\n",
    "centre_lon = 10\n",
    "west_boundary = -35\n",
    "south_boundary = -27\n",
    "inc_rlat = 0.2\n",
    "inc_rlon = 0.2\n",
    "rotated_grid = nes.create_nes(comm=None, info=False, projection='rotated',\n",
    "                              centre_lat=centre_lat, centre_lon=centre_lon,\n",
    "                              west_boundary=west_boundary, south_boundary=south_boundary,\n",
    "                              inc_rlat=inc_rlat, inc_rlon=inc_rlon)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
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       "      <td>POLYGON ((87.43401 59.01025, 87.61561 58.85850...</td>\n",
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       "      <th>95118</th>\n",
       "      <td>POLYGON ((87.61561 58.85850, 87.79608 58.70663...</td>\n",
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       "    <tr>\n",
       "      <th>95119</th>\n",
       "      <td>POLYGON ((87.79608 58.70663, 87.97545 58.55466...</td>\n",
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       "    <tr>\n",
       "      <th>95120</th>\n",
       "      <td>POLYGON ((87.97545 58.55466, 88.15372 58.40259...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>95121 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                geometry\n",
       "FID                                                     \n",
       "0      POLYGON ((-22.21497 16.22040, -22.05071 16.303...\n",
       "1      POLYGON ((-22.05071 16.30307, -21.88618 16.385...\n",
       "2      POLYGON ((-21.88618 16.38536, -21.72137 16.467...\n",
       "3      POLYGON ((-21.72137 16.46727, -21.55629 16.548...\n",
       "4      POLYGON ((-21.55629 16.54881, -21.39094 16.629...\n",
       "...                                                  ...\n",
       "95116  POLYGON ((87.25127 59.16191, 87.43401 59.01025...\n",
       "95117  POLYGON ((87.43401 59.01025, 87.61561 58.85850...\n",
       "95118  POLYGON ((87.61561 58.85850, 87.79608 58.70663...\n",
       "95119  POLYGON ((87.79608 58.70663, 87.97545 58.55466...\n",
       "95120  POLYGON ((87.97545 58.55466, 88.15372 58.40259...\n",
       "\n",
       "[95121 rows x 1 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotated_grid.create_shapefile()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>95120</th>\n",
       "      <td>POLYGON ((87.97545 58.55466, 88.15372 58.40259...</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>95121 rows × 1 columns</p>\n",
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      ],
      "text/plain": [
       "                                                geometry\n",
       "FID                                                     \n",
       "0      POLYGON ((-22.21497 16.22040, -22.05071 16.303...\n",
       "1      POLYGON ((-22.05071 16.30307, -21.88618 16.385...\n",
       "2      POLYGON ((-21.88618 16.38536, -21.72137 16.467...\n",
       "3      POLYGON ((-21.72137 16.46727, -21.55629 16.548...\n",
       "4      POLYGON ((-21.55629 16.54881, -21.39094 16.629...\n",
       "...                                                  ...\n",
       "95116  POLYGON ((87.25127 59.16191, 87.43401 59.01025...\n",
       "95117  POLYGON ((87.43401 59.01025, 87.61561 58.85850...\n",
       "95118  POLYGON ((87.61561 58.85850, 87.79608 58.70663...\n",
       "95119  POLYGON ((87.79608 58.70663, 87.97545 58.55466...\n",
       "95120  POLYGON ((87.97545 58.55466, 88.15372 58.40259...\n",
       "\n",
       "[95121 rows x 1 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotated_grid.shapefile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3366ca3ad0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "[encoded data, 70152 characters]",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rotated_grid.shapefile.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f336636b510>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "[encoded data, 15356 characters]",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rotated_grid.shapefile[:10].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### LCC grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "lat_1 = 37\n",
    "lat_2 = 43\n",
    "lon_0 = -3\n",
    "lat_0 = 40\n",
    "nx = 100\n",
    "ny = 200\n",
    "inc_x = 4000\n",
    "inc_y = 4000\n",
    "x_0 = -807847.688\n",
    "y_0 = -797137.125\n",
    "lcc_grid = nes.create_nes(comm=None, info=False, projection='lcc',\n",
    "                          lat_1=lat_1, lat_2=lat_2, lon_0=lon_0, lat_0=lat_0, \n",
    "                          nx=nx, ny=ny, inc_x=inc_x, inc_y=inc_y, x_0=x_0, y_0=y_0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>POLYGON ((-11.58393 32.47507, -11.54169 32.478...</td>\n",
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       "    <tr>\n",
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       "      <td>POLYGON ((-11.54169 32.47851, -11.49944 32.481...</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>POLYGON ((-11.49944 32.48192, -11.45719 32.485...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>POLYGON ((-11.45719 32.48533, -11.41494 32.488...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>POLYGON ((-11.41494 32.48871, -11.37268 32.492...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19995</th>\n",
       "      <td>POLYGON ((-8.03489 39.88059, -7.98792 39.88262...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19996</th>\n",
       "      <td>POLYGON ((-7.98792 39.88262, -7.94094 39.88464...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19997</th>\n",
       "      <td>POLYGON ((-7.94094 39.88464, -7.89397 39.88663...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19998</th>\n",
       "      <td>POLYGON ((-7.89397 39.88663, -7.84698 39.88860...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19999</th>\n",
       "      <td>POLYGON ((-7.84698 39.88860, -7.80000 39.89055...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20000 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                geometry\n",
       "FID                                                     \n",
       "0      POLYGON ((-11.58393 32.47507, -11.54169 32.478...\n",
       "1      POLYGON ((-11.54169 32.47851, -11.49944 32.481...\n",
       "2      POLYGON ((-11.49944 32.48192, -11.45719 32.485...\n",
       "3      POLYGON ((-11.45719 32.48533, -11.41494 32.488...\n",
       "4      POLYGON ((-11.41494 32.48871, -11.37268 32.492...\n",
       "...                                                  ...\n",
       "19995  POLYGON ((-8.03489 39.88059, -7.98792 39.88262...\n",
       "19996  POLYGON ((-7.98792 39.88262, -7.94094 39.88464...\n",
       "19997  POLYGON ((-7.94094 39.88464, -7.89397 39.88663...\n",
       "19998  POLYGON ((-7.89397 39.88663, -7.84698 39.88860...\n",
       "19999  POLYGON ((-7.84698 39.88860, -7.80000 39.89055...\n",
       "\n",
       "[20000 rows x 1 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lcc_grid.create_shapefile()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
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       "      <th>1</th>\n",
       "      <td>POLYGON ((-11.54169 32.47851, -11.49944 32.481...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>POLYGON ((-11.49944 32.48192, -11.45719 32.485...</td>\n",
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       "      <th>3</th>\n",
       "      <td>POLYGON ((-11.45719 32.48533, -11.41494 32.488...</td>\n",
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       "      <th>4</th>\n",
       "      <td>POLYGON ((-11.41494 32.48871, -11.37268 32.492...</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>19995</th>\n",
       "      <td>POLYGON ((-8.03489 39.88059, -7.98792 39.88262...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19996</th>\n",
       "      <td>POLYGON ((-7.98792 39.88262, -7.94094 39.88464...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19997</th>\n",
       "      <td>POLYGON ((-7.94094 39.88464, -7.89397 39.88663...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19998</th>\n",
       "      <td>POLYGON ((-7.89397 39.88663, -7.84698 39.88860...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19999</th>\n",
       "      <td>POLYGON ((-7.84698 39.88860, -7.80000 39.89055...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20000 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                geometry\n",
       "FID                                                     \n",
       "0      POLYGON ((-11.58393 32.47507, -11.54169 32.478...\n",
       "1      POLYGON ((-11.54169 32.47851, -11.49944 32.481...\n",
       "2      POLYGON ((-11.49944 32.48192, -11.45719 32.485...\n",
       "3      POLYGON ((-11.45719 32.48533, -11.41494 32.488...\n",
       "4      POLYGON ((-11.41494 32.48871, -11.37268 32.492...\n",
       "...                                                  ...\n",
       "19995  POLYGON ((-8.03489 39.88059, -7.98792 39.88262...\n",
       "19996  POLYGON ((-7.98792 39.88262, -7.94094 39.88464...\n",
       "19997  POLYGON ((-7.94094 39.88464, -7.89397 39.88663...\n",
       "19998  POLYGON ((-7.89397 39.88663, -7.84698 39.88860...\n",
       "19999  POLYGON ((-7.84698 39.88860, -7.80000 39.89055...\n",
       "\n",
       "[20000 rows x 1 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lcc_grid.shapefile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3366c16510>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "[encoded data, 39848 characters]",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lcc_grid.shapefile.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f335f495210>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "[encoded data, 7296 characters]",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lcc_grid.shapefile[:10].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mercator grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "lat_ts = -1.5\n",
    "lon_0 = -18.0\n",
    "nx = 100\n",
    "ny = 50\n",
    "inc_x = 50000\n",
    "inc_y = 50000\n",
    "x_0 = -126017.5\n",
    "y_0 = -5407460.0\n",
    "mercator_grid = nes.create_nes(comm=None, info=False, projection='mercator',\n",
    "                               lat_ts=lat_ts, lon_0=lon_0, nx=nx, ny=ny, \n",
    "                               inc_x=inc_x, inc_y=inc_y, x_0=x_0, y_0=y_0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>4995</th>\n",
       "      <td>POLYGON ((23.55209 -25.82217, 24.00140 -25.822...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4996</th>\n",
       "      <td>POLYGON ((24.00140 -25.82217, 24.45071 -25.822...</td>\n",
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       "    <tr>\n",
       "      <th>4997</th>\n",
       "      <td>POLYGON ((24.45071 -25.82217, 24.90002 -25.822...</td>\n",
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       "    <tr>\n",
       "      <th>4998</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>4999</th>\n",
       "      <td>POLYGON ((25.34933 -25.82217, 25.79864 -25.822...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5000 rows × 1 columns</p>\n",
       "</div>"
      ],
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       "                                               geometry\n",
       "FID                                                    \n",
       "0     POLYGON ((-19.13242 -43.82824, -18.68311 -43.8...\n",
       "1     POLYGON ((-18.68311 -43.82824, -18.23380 -43.8...\n",
       "2     POLYGON ((-18.23380 -43.82824, -17.78449 -43.8...\n",
       "3     POLYGON ((-17.78449 -43.82824, -17.33518 -43.8...\n",
       "4     POLYGON ((-17.33518 -43.82824, -16.88587 -43.8...\n",
       "...                                                 ...\n",
       "4995  POLYGON ((23.55209 -25.82217, 24.00140 -25.822...\n",
       "4996  POLYGON ((24.00140 -25.82217, 24.45071 -25.822...\n",
       "4997  POLYGON ((24.45071 -25.82217, 24.90002 -25.822...\n",
       "4998  POLYGON ((24.90002 -25.82217, 25.34933 -25.822...\n",
       "4999  POLYGON ((25.34933 -25.82217, 25.79864 -25.822...\n",
       "\n",
       "[5000 rows x 1 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mercator_grid.create_shapefile()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
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       "    <tr>\n",
       "      <th>4998</th>\n",
       "      <td>POLYGON ((24.90002 -25.82217, 25.34933 -25.822...</td>\n",
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       "    <tr>\n",
       "      <th>4999</th>\n",
       "      <td>POLYGON ((25.34933 -25.82217, 25.79864 -25.822...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5000 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               geometry\n",
       "FID                                                    \n",
       "0     POLYGON ((-19.13242 -43.82824, -18.68311 -43.8...\n",
       "1     POLYGON ((-18.68311 -43.82824, -18.23380 -43.8...\n",
       "2     POLYGON ((-18.23380 -43.82824, -17.78449 -43.8...\n",
       "3     POLYGON ((-17.78449 -43.82824, -17.33518 -43.8...\n",
       "4     POLYGON ((-17.33518 -43.82824, -16.88587 -43.8...\n",
       "...                                                 ...\n",
       "4995  POLYGON ((23.55209 -25.82217, 24.00140 -25.822...\n",
       "4996  POLYGON ((24.00140 -25.82217, 24.45071 -25.822...\n",
       "4997  POLYGON ((24.45071 -25.82217, 24.90002 -25.822...\n",
       "4998  POLYGON ((24.90002 -25.82217, 25.34933 -25.822...\n",
       "4999  POLYGON ((25.34933 -25.82217, 25.79864 -25.822...\n",
       "\n",
       "[5000 rows x 1 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mercator_grid.shapefile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f336754b290>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXkAAADGCAYAAAA36PApAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAKzklEQVR4nO3dYajd913H8ffHRvNgIirJ7NrkejNMh62WTi/FBzociza62ahjEJ+suAch0IGi4ppFVtgIVAoqqEMCDvcgtRSiW1gptBnD7UnXpVvXtUujSbtutXXrVrYIk4y0Xx/cf91JPOm9N//be3O/5/2CS8/5/c/5/3/n1+Td//3fc25TVUiSevqR9Z6AJOn1Y+QlqTEjL0mNGXlJaszIS1JjRl6SGts05slJ7gZ+B/gBcAb4w6r6bpJ54CRwanjow1W1f6n9bdmypebn58dMSZJmzqOPPvrtqto6bduoyAMPAQeq6nySvwQOAB8Ytp2pqptWsrP5+XlOnDgxckqSNFuSPHupbaMu11TVg1V1frj7MLBtzP4kSatrNa/Jvw94YOL+jiRfSvJvSX5tFY8jSVqmJS/XJDkOXD1l08Gq+uTwmIPAeeDIsO0FYK6qvpPkl4FPJLmhqs5O2f8+YB/A3Nzc5b0KSdJUS0a+qna91vYktwHvAt5Rwy/CqapzwLnh9qNJzgDXAf/vgntVHQYOAywsLPiLdCRpFY26XJNkN4s/aL21qr4/Mb41yVXD7TcDO4GnxxxLkrRyY99d83fAZuChJPDDt0q+DfhwkvPAy8D+qnpp5LEkSSs0KvJV9XOXGD8KHB2z78sxf8f9a31ISVoVX7vrna/Lfv3EqyQ1ZuQlqTEjL0mNGXlJaszIS1JjRl6SGjPyktSYkZekxoy8JDVm5CWpMSMvSY0ZeUlqzMhLUmNGXpIaM/KS1JiRl6TGjLwkNWbkJakxIy9JjRl5SWrMyEtSY0Zekhoz8pLUmJGXpMaMvCQ1ZuQlqTEjL0mNGXlJaszIS1JjRl6SGjPyktSYkZekxoy8JDU2KvJJPpLk8SSPJXkwyTUT2w4kOZ3kVJJbxk9VkrRSY8/k766qG6vqJuBTwIcAklwP7AVuAHYDH01y1chjSZJWaFTkq+rsxN03ADXc3gPcW1XnquoZ4DRw85hjSZJWbtPYHSQ5BLwX+B7w9mH4WuDhiYc9N4xNe/4+YB/A3Nzc2OlIkiYseSaf5HiSJ6Z87QGoqoNVtR04Arz/1adN2VVNGaOqDlfVQlUtbN269XJfhyRpiiXP5Ktq1zL3dQ9wP3Ani2fu2ye2bQOeX/HsJEmjjH13zc6Ju7cCTw23jwF7k2xOsgPYCTwy5liSpJUbe03+riRvAV4BngX2A1TVk0nuA74KnAdur6qXRx5LkrRCoyJfVe9+jW2HgENj9i9JGsdPvEpSY0Zekhoz8pLUmJGXpMaMvCQ1ZuQlqTEjL0mNGXlJaszIS1JjRl6SGjPyktSYkZekxoy8JDVm5CWpMSMvSY0ZeUlqzMhLUmNGXpIaM/KS1JiRl6TGjLwkNWbkJakxIy9JjRl5SWrMyEtSY0Zekhoz8pLUmJGXpMaMvCQ1ZuQlqTEjL0mNGXlJamxU5JN8JMnjSR5L8mCSa4bx+ST/M4w/luQfVme6kqSVGHsmf3dV3VhVNwGfAj40se1MVd00fO0feRxJ0mUYFfmqOjtx9w1AjZuOJGk1bRq7gySHgPcC3wPePrFpR5IvAWeBv6iqz409liRpZZY8k09yPMkTU772AFTVwaraDhwB3j887QVgrqreCvwJcE+Sn7jE/vclOZHkxIsvvrg6r0qSBCzjTL6qdi1zX/cA9wN3VtU54Nzw/EeTnAGuA05M2f9h4DDAwsKCl3skaRWNfXfNzom7twJPDeNbk1w13H4zsBN4esyxJEkrN/aa/F1J3gK8AjwLvPoumrcBH05yHngZ2F9VL408liRphUZFvqrefYnxo8DRMfuWJI3nJ14lqTEjL0mNGXlJaszIS1JjRl6SGjPyktSYkZekxoy8JDVm5CWpMSMvSY0ZeUlqzMhLUmNGXpIaM/KS1JiRl6TGjLwkNWbkJakxIy9JjRl5SWrMyEtSY0Zekhoz8pLUmJGXpMaMvCQ1ZuQlqTEjL0mNGXlJaszIS1JjRl6SGjPyktSYkZekxoy8JDW2KpFP8mdJKsmWibEDSU4nOZXkltU4jiRpZTaN3UGS7cBvAF+fGLse2AvcAFwDHE9yXVW9PPZ4kqTlW40z+b8G/hyoibE9wL1Vda6qngFOAzevwrEkSSswKvJJbgX+s6q+fNGma4FvTNx/bhiTJK2hJS/XJDkOXD1l00Hgg8BvTnvalLGaMkaSfcA+gLm5uaWmI0lagSUjX1W7po0n+UVgB/DlJADbgC8muZnFM/ftEw/fBjx/if0fBg4DLCwsTP0PgSTp8lz25Zqq+kpVvbGq5qtqnsWw/1JV/RdwDNibZHOSHcBO4JFVmbEkadlGv7tmmqp6Msl9wFeB88DtvrNGktbeqkV+OJufvH8IOLRa+5ckrZyfeJWkxoy8JDVm5CWpMSMvSY0ZeUlqzMhLUmNGXpIaM/KS1JiRl6TGjLwkNWbkJakxIy9JjRl5SWrMyEtSY0Zekhoz8pLUmJGXpMaMvCQ1ZuQlqTEjL0mNGXlJaszIS1JjRl6SGjPyktSYkZekxoy8JDW2ab0nsJq+dtc713sKknRF8Uxekhoz8pLUmJGXpMaMvCQ1ZuQlqTEjL0mNGXlJaixVtd5z+D9JXgSeXcZDtwDffp2ns1G4FhdyPS7kelyo63r8bFVtnbbhior8ciU5UVUL6z2PK4FrcSHX40Kux4VmcT28XCNJjRl5SWpso0b+8HpP4AriWlzI9biQ63GhmVuPDXlNXpK0PBv1TF6StAwbJvJJ7k7yVJLHk/xrkp+c2HYgyekkp5Lcsp7zXCtJ3pPkySSvJFm4aNvMrQdAkt3Daz6d5I71ns9aS/KxJN9K8sTE2E8neSjJfwz//Kn1nONaSbI9yWeSnBz+nvzRMD5z67FhIg88BPxCVd0I/DtwACDJ9cBe4AZgN/DRJFet2yzXzhPA7wOfnRyc1fUYXuPfA78FXA/8wbAWs+SfWPx3PukO4NNVtRP49HB/FpwH/rSqfh74FeD24c/DzK3Hhol8VT1YVeeHuw8D24bbe4B7q+pcVT0DnAZuXo85rqWqOllVp6Zsmsn1YPE1nq6qp6vqB8C9LK7FzKiqzwIvXTS8B/j4cPvjwO+u6aTWSVW9UFVfHG7/N3ASuJYZXI8NE/mLvA94YLh9LfCNiW3PDWOzalbXY1Zf91J+pqpegMXwAW9c5/msuSTzwFuBzzOD63FF/e//khwHrp6y6WBVfXJ4zEEWvxU78urTpjy+xVuGlrMe0542ZazFeixhVl+3XkOSHweOAn9cVWeTaX9MeruiIl9Vu15re5LbgHcB76gfvvfzOWD7xMO2Ac+/PjNcW0utxyW0XY8lzOrrXso3k7ypql5I8ibgW+s9obWS5EdZDPyRqvqXYXjm1mPDXK5Jshv4AHBrVX1/YtMxYG+SzUl2ADuBR9ZjjleIWV2PLwA7k+xI8mMs/vD52DrP6UpwDLhtuH0bcKnvAFvJ4in7PwInq+qvJjbN3HpsmA9DJTkNbAa+Mww9XFX7h20HWbxOf57Fb8semL6XPpL8HvC3wFbgu8BjVXXLsG3m1gMgyW8DfwNcBXysqg6t85TWVJJ/Bn6dxd+0+E3gTuATwH3AHPB14D1VdfEPZ9tJ8qvA54CvAK8Mwx9k8br8TK3Hhom8JGnlNszlGknSyhl5SWrMyEtSY0Zekhoz8pLUmJGXpMaMvCQ1ZuQlqbH/BYN50AeobkGYAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mercator_grid.shapefile.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3365c65b10>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mercator_grid.shapefile[:10].plot()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  },
  "vscode": {
   "interpreter": {
    "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
