{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import geoviews as gv\n",
    "\n",
    "gv.extension('matplotlib')\n",
    "\n",
    "gv.output(fig='svg', size=200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "lat = np.arange(60, 37.5, -2.5)\n",
    "lon = np.arange(270, 292.5, 2.5)\n",
    "uwnd = np.array(\n",
    "    [\n",
    "        [2, 0, -2, -2, -3, -3, -3, -2, -1],\n",
    "        [2, 0, -2, -2, -2, -2, -2, -1, 1],\n",
    "        [2, -1, -2, -2, -2, -1, 0, 1, 3],\n",
    "        [3, 0, -3, -5, -5, -4, -4, -2, 0],\n",
    "        [8, 4, 0, -3, -5, -6, -6, -6, -5],\n",
    "        [12, 10, 8, 5, 3, 0, -2, -2, -2],\n",
    "        [13, 14, 16, 16, 14, 12, 10, 9, 10],\n",
    "        [13, 18, 22, 24, 25, 24, 23, 22, 23],\n",
    "        [20, 25, 29, 32, 33, 32, 32, 33, 34],\n",
    "    ]\n",
    ")\n",
    "vwwnd = np.array(\n",
    "    [\n",
    "        [3, 1, 0, -1, -1, 0, 1, 3, 4],\n",
    "        [-2, -3, -3, -2, 0, 2, 4, 6, 8],\n",
    "        [-6, -6, -4, -1, 2, 5, 7, 10, 12],\n",
    "        [-12, -10, -6, -1, 4, 7, 10, 12, 14],\n",
    "        [-17, -15, -10, -4, 2, 6, 9, 12, 16],\n",
    "        [-20, -18, -14, -8, -2, 2, 5, 10, 16],\n",
    "        [-17, -16, -13, -9, -6, -3, 1, 7, 15],\n",
    "        [-11, -10, -8, -6, -6, -5, -2, 6, 15],\n",
    "        [-5, -3, -2, -2, -4, -5, -2, 6, 15],\n",
    "    ]\n",
    ")\n",
    "\n",
    "wind_barbs = gv.WindBarbs.from_uv((lon, lat, uwnd, vwwnd)).opts(\n",
    "    fig_size=250, length=6.5, padding=1\n",
    ")\n",
    "coastline = gv.feature.coastline()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "wind_barbs * coastline"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}