{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import geoviews as gv\n",
    "import cartopy.crs as ccrs\n",
    "\n",
    "gv.extension('bokeh')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sample_data(shape=(20, 30)):\n",
    "    \"\"\"\n",
    "    Return ``(x, y, u, v, crs)`` of some vector data\n",
    "    computed mathematically. The returned crs will be a rotated\n",
    "    pole CRS, meaning that the vectors will be unevenly spaced in\n",
    "    regular PlateCarree space.\n",
    "\n",
    "    \"\"\"\n",
    "    crs = ccrs.RotatedPole(pole_longitude=177.5, pole_latitude=37.5)\n",
    "\n",
    "    x = np.linspace(311.9, 391.1, shape[1])\n",
    "    y = np.linspace(-23.6, 24.8, shape[0])\n",
    "\n",
    "    x2d, y2d = np.meshgrid(x, y)\n",
    "    u = 10 * (2 * np.cos(2 * np.deg2rad(x2d) + 3 * np.deg2rad(y2d + 30)) ** 2)\n",
    "    v = 20 * np.cos(6 * np.deg2rad(x2d))\n",
    "\n",
    "    return x, y, u, v, crs\n",
    "\n",
    "xs, ys, U, V, crs = sample_data()\n",
    "mag = np.sqrt(U**2 + V**2)\n",
    "angle = np.pi / 2 - np.arctan2(-V, -U)\n",
    "tiles = gv.tile_sources.OSM\n",
    "vectorfield = gv.VectorField((xs, ys, angle, mag), crs=crs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tiles * vectorfield.opts(magnitude='Magnitude', width=600, height=500, padding=0.1)"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
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 "nbformat": 4,
 "nbformat_minor": 2
}