{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import panel as pn\n",
    "import holoviews as hv\n",
    "\n",
    "from earthsim.xmsmesh import GenerateMesh, ViewMesh\n",
    "\n",
    "hv.extension('bokeh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sample_poly1=dict(\n",
    "    Longitude = [-10114986, -10123906, -10130333, -10121522, -10129889, -10122959],\n",
    "    Latitude  = [  3806790,   3812413,   3807530,   3805407,   3798394,   3796693])\n",
    "sample_poly2=dict(\n",
    "    Longitude = [-10095762, -10101582, -10104906],\n",
    "    Latitude  = [  3804189,   3817180,   3799659])\n",
    "sample_points = pd.DataFrame({\n",
    "    'Longitude': [-10100750],\n",
    "    'Latitude':  [ 3807009.333],\n",
    "    'Size':      [   100]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# construct the stages of the pipeline\n",
    "stages = [\n",
    "    ('Generate Mesh', GenerateMesh(polys=[sample_poly1, sample_poly2], points=sample_points)),\n",
    "    ('View Mesh', ViewMesh)\n",
    "]\n",
    "\n",
    "# construct the pipeline\n",
    "pipeline = pn.pipeline.Pipeline(stages)\n",
    "\n",
    "pipeline.layout  # display in the cell below\n",
    "# pipeline.layout.show()  # launch in separate browser window"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}