{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "flex_subtitle = \"built using jupyter-flex\"\n",
    "flex_external_link = \"https://github.com/danielfrg/jupyter-flex/blob/master/examples/widgets/ipyleaflet.ipynb\"\n",
    "\n",
    "flex_show_source = True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "source"
    ]
   },
   "outputs": [],
   "source": [
    "from ipyleaflet import Map, Marker"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "body"
    ]
   },
   "outputs": [],
   "source": [
    "center = (52.204793, 360.121558)\n",
    "\n",
    "Map(center=center, zoom=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ant Paths"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ant paths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "source"
    ]
   },
   "outputs": [],
   "source": [
    "from ipyleaflet import Map, AntPath"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "source"
    ]
   },
   "outputs": [],
   "source": [
    "m = Map(center=(52, 10), zoom=8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "source"
    ]
   },
   "outputs": [],
   "source": [
    "ant_paths = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "source"
    ]
   },
   "outputs": [],
   "source": [
    "ant_paths.append(AntPath(\n",
    "    locations=[[51.5, 8], [52.5, 12.1]],\n",
    "    use = 'polyline'\n",
    "))\n",
    "m += ant_paths[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "source"
    ]
   },
   "outputs": [],
   "source": [
    "ant_paths.append(AntPath(\n",
    "    locations=[[52, 8], [52.5, 8], [52.3, 9]],\n",
    "    use='polygon',\n",
    "    dash_array=[50, 100],\n",
    "    weight=10,\n",
    "    color='red'\n",
    "))\n",
    "m += ant_paths[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "source"
    ]
   },
   "outputs": [],
   "source": [
    "ant_paths.append(AntPath(\n",
    "    locations=[[51.5, 11], [52, 12]],\n",
    "    use='rectangle',\n",
    "    dash_array=[10, 20],\n",
    "    weight=5,\n",
    "    color='white',\n",
    "    pulse_color='green'\n",
    "))\n",
    "m += ant_paths[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "source"
    ]
   },
   "outputs": [],
   "source": [
    "ant_paths.append(AntPath(\n",
    "    locations=[51.5, 10],\n",
    "    radius=15000,\n",
    "    use='circle',\n",
    "    dash_array=[5, 10],\n",
    "    weight=5,\n",
    "    color=\"magenta\"\n",
    "))\n",
    "m += ant_paths[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "body"
    ]
   },
   "outputs": [],
   "source": [
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}