docs/examples/10_mesh2d_global_grid.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Generating a global grid"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This tutorial will demonstrate the generation of a global grid in spherical coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import meshkernel\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "mk = meshkernel.MeshKernel(projection=meshkernel.ProjectionType.SPHERICAL)\n",
    "mk.mesh2d_make_global(num_longitude_nodes=192, num_latitude_nodes=100)\n",
    "mesh2d = mk.mesh2d_get()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.close('all')\n",
    "figsize = (20,10)\n",
    "mesh2d = mk.mesh2d_get()\n",
    "fig, ax = plt.subplots(figsize=figsize)\n",
    "mesh2d.plot_edges(ax,color='k')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}