{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import folium\n",
    "import matplotlib\n",
    "from matplotlib.pyplot import imread\n",
    "from folium import raster_layers\n",
    "from scipy.ndimage import imread"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# m = folium.Map([-17.1725, -47.3288], zoom_start=13)\n",
    "m = folium.Map([-16.47, -47.43], zoom_start=12, control_scale=True)\n",
    "# boundsdata = r'map.geojson'\n",
    "# folium.GeoJson(boundsdata).add_to(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# read in png file to numpy array\n",
    "# image = '/notebooks/resources/T22KHG_20190425T132241_TCI.tif'\n",
    "# image = '/notebooks/resources/T22KHG_20190425T132241_TCI_quarter.tif'\n",
    "image = '/notebooks/resources/T22KHG_20190425T132241_TCI_smaller.tif'\n",
    "data = matplotlib.pyplot.imread(image)\n",
    "\n",
    "# boundary of the image on the map\n",
    "# -47.72086687985285,-47.18137037025522,-16.627150415017045,-16.329425174039407 [EPSG:4326]\n",
    "# -47.72,-47.18,-16.62,-16.32\n",
    "# min_lon = -47.3566\n",
    "# max_lon = -47.1719\n",
    "# min_lat = -16.4769\n",
    "# max_lat = -16.6105\n",
    "min_lon = -47.72086687985285\n",
    "max_lon = -47.18137037025522\n",
    "min_lat = -16.627150415017045\n",
    "max_lat = -16.329425174039407\n",
    "\n",
    "# Overlay the image\n",
    "m.add_child(raster_layers.ImageOverlay(data,\n",
    "#                                          opacity = 0.8,\n",
    "                                         bounds = [[min_lat, min_lon], [max_lat, max_lon]]))\n",
    "\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import h5py\n",
    "hdf5 = '/notebooks/resources/3B-MO.MS.MRG.3IMERG.20190101-S000000-E235959.01.V06A.HDF5'\n",
    "dataset = h5py.File(hdf5,'r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "precip = dataset['Grid/precipitation'][:]\n",
    "precip = np.transpose(precip[0])\n",
    "\n",
    "theLats = dataset['Grid/lat'][:]\n",
    "theLons = dataset['Grid/lon'][:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "precip[728,1326]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "theLats[728]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "theLons[1326]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "language": "python",
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  "language_info": {
   "codemirror_mode": {
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