{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# STAREPandas Multiprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:07:48.952773Z",
     "iopub.status.busy": "2022-09-15T05:07:48.952481Z",
     "iopub.status.idle": "2022-09-15T05:07:50.842904Z",
     "shell.execute_reply": "2022-09-15T05:07:50.842353Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import dask\n",
    "import numpy\n",
    "import starepandas\n",
    "import geopandas\n",
    "import pystare\n",
    "import pandas\n",
    "import matplotlib.pyplot as plt\n",
    "import datetime\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:07:50.845609Z",
     "iopub.status.busy": "2022-09-15T05:07:50.845343Z",
     "iopub.status.idle": "2022-09-15T05:07:52.562415Z",
     "shell.execute_reply": "2022-09-15T05:07:52.561832Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "56"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us = geopandas.read_file('../tests/data/tl_2017_us_state.gpkg')\n",
    "us = us.to_crs('EPSG:4326')\n",
    "len(us)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:07:52.564542Z",
     "iopub.status.busy": "2022-09-15T05:07:52.564307Z",
     "iopub.status.idle": "2022-09-15T05:07:52.570196Z",
     "shell.execute_reply": "2022-09-15T05:07:52.569734Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "us.head()\n",
    "us = us[0:6]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Parallel SID lookup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:07:52.572916Z",
     "iopub.status.busy": "2022-09-15T05:07:52.572581Z",
     "iopub.status.idle": "2022-09-15T05:07:52.577105Z",
     "shell.execute_reply": "2022-09-15T05:07:52.576684Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "def sids_from_geoseries(series, level, convex=False, force_ccw=True, n_workers=1):\n",
    "    sids = []\n",
    "    for geom in series:\n",
    "        sids_row = starepandas.sids_from_shapely(geom=geom, level=level, convex=convex, force_ccw=force_ccw)\n",
    "        sids.append(sids_row)\n",
    "    sids = numpy.array(sids, dtype='object')  # Has to be object to suppress VisibleDeprecationWarning\n",
    "    return sids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:07:52.579415Z",
     "iopub.status.busy": "2022-09-15T05:07:52.579202Z",
     "iopub.status.idle": "2022-09-15T05:07:59.387192Z",
     "shell.execute_reply": "2022-09-15T05:07:59.386641Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "n_workers = 2\n",
    "\n",
    "ddf = dask.dataframe.from_pandas(us.geometry, npartitions=n_workers)\n",
    "meta = {'sids': 'uint64'}\n",
    "\n",
    "res = ddf.map_partitions(lambda df: numpy.array(sids_from_geoseries(df, level=7, convex=False, force_ccw=False, n_workers=1), dtype='object'), \n",
    "                         meta=meta)\n",
    "\n",
    "sids = res.compute(scheduler='processes')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### High level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:07:59.390396Z",
     "iopub.status.busy": "2022-09-15T05:07:59.389965Z",
     "iopub.status.idle": "2022-09-15T05:08:06.398815Z",
     "shell.execute_reply": "2022-09-15T05:08:06.397967Z"
    },
    "scrolled": true,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "stare = starepandas.sids_from_geoseries(us.geometry, \n",
    "                                        level=7, \n",
    "                                        convex=False, \n",
    "                                        force_ccw=True, \n",
    "                                        n_partitions=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# Parallel Trixel lookup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Manual / low level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:06.403388Z",
     "iopub.status.busy": "2022-09-15T05:08:06.402917Z",
     "iopub.status.idle": "2022-09-15T05:08:08.579010Z",
     "shell.execute_reply": "2022-09-15T05:08:08.578417Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "n_cores = 4\n",
    "\n",
    "us['stare'] = stare\n",
    "ddf = dask.dataframe.from_pandas(us['stare'], npartitions=n_cores)\n",
    "meta = {'trixels': 'object'}\n",
    "\n",
    "res = ddf.map_partitions(lambda df: numpy.array(starepandas.trixels_from_stareseries(df)), meta=meta)\n",
    "trixels = res.compute(scheduler='processes')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## High level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:08.582433Z",
     "iopub.status.busy": "2022-09-15T05:08:08.582017Z",
     "iopub.status.idle": "2022-09-15T05:08:10.428629Z",
     "shell.execute_reply": "2022-09-15T05:08:10.428021Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "stare = pandas.Series(stare)\n",
    "trixels = starepandas.trixels_from_stareseries(stare, n_partitions=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# Parallel instantiation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:10.431868Z",
     "iopub.status.busy": "2022-09-15T05:08:10.431476Z",
     "iopub.status.idle": "2022-09-15T05:08:18.600948Z",
     "shell.execute_reply": "2022-09-15T05:08:18.600298Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "us = starepandas.STAREDataFrame(us, \n",
    "                                add_sids=True, \n",
    "                                level=7, \n",
    "                                add_trixels=True, \n",
    "                                n_partitions=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:18.603505Z",
     "iopub.status.busy": "2022-09-15T05:08:18.603199Z",
     "iopub.status.idle": "2022-09-15T05:08:18.762743Z",
     "shell.execute_reply": "2022-09-15T05:08:18.762230Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(7,7), dpi=100)\n",
    "ax.grid(True)\n",
    "\n",
    "us.plot(ax=ax, trixels=True, column='NAME')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:18.766969Z",
     "iopub.status.busy": "2022-09-15T05:08:18.766340Z",
     "iopub.status.idle": "2022-09-15T05:08:19.318810Z",
     "shell.execute_reply": "2022-09-15T05:08:19.318311Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>REGION</th>\n",
       "      <th>DIVISION</th>\n",
       "      <th>STATEFP</th>\n",
       "      <th>STATENS</th>\n",
       "      <th>GEOID</th>\n",
       "      <th>STUSPS</th>\n",
       "      <th>NAME</th>\n",
       "      <th>LSAD</th>\n",
       "      <th>MTFCC</th>\n",
       "      <th>FUNCSTAT</th>\n",
       "      <th>ALAND</th>\n",
       "      <th>AWATER</th>\n",
       "      <th>INTPTLAT</th>\n",
       "      <th>INTPTLON</th>\n",
       "      <th>geometry</th>\n",
       "      <th>stare</th>\n",
       "      <th>sids</th>\n",
       "      <th>trixels</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>54</td>\n",
       "      <td>01779805</td>\n",
       "      <td>54</td>\n",
       "      <td>WV</td>\n",
       "      <td>West Virginia</td>\n",
       "      <td>00</td>\n",
       "      <td>G4000</td>\n",
       "      <td>A</td>\n",
       "      <td>62265662566</td>\n",
       "      <td>489840834</td>\n",
       "      <td>+38.6472854</td>\n",
       "      <td>-080.6183274</td>\n",
       "      <td>POLYGON ((-81.74725 39.09538, -81.74635 39.096...</td>\n",
       "      <td>[3137320090416971783, 3137355274789060615, 313...</td>\n",
       "      <td>[3137320090416971783, 3137355274789060615, 313...</td>\n",
       "      <td>MULTIPOLYGON (((-79.56820 39.46980, -79.99541 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>00294478</td>\n",
       "      <td>12</td>\n",
       "      <td>FL</td>\n",
       "      <td>Florida</td>\n",
       "      <td>00</td>\n",
       "      <td>G4000</td>\n",
       "      <td>A</td>\n",
       "      <td>138911437206</td>\n",
       "      <td>31398800291</td>\n",
       "      <td>+28.4574302</td>\n",
       "      <td>-082.4091478</td>\n",
       "      <td>MULTIPOLYGON (((-82.98748 24.62538, -82.98748 ...</td>\n",
       "      <td>[3119129770047045639, 3119446429395845126, 312...</td>\n",
       "      <td>[3119129770047045639, 3119446429395845126, 312...</td>\n",
       "      <td>MULTIPOLYGON (((-82.52250 24.32624, -82.98181 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>17</td>\n",
       "      <td>01779784</td>\n",
       "      <td>17</td>\n",
       "      <td>IL</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>00</td>\n",
       "      <td>G4000</td>\n",
       "      <td>A</td>\n",
       "      <td>143784114293</td>\n",
       "      <td>6211277447</td>\n",
       "      <td>+40.1028754</td>\n",
       "      <td>-089.1526108</td>\n",
       "      <td>POLYGON ((-91.18529 40.63780, -91.17510 40.643...</td>\n",
       "      <td>[3072299370796810246, 3072440108285165574, 307...</td>\n",
       "      <td>[3072299370796810246, 3072440108285165574, 307...</td>\n",
       "      <td>MULTIPOLYGON (((-88.73033 38.14162, -88.05766 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>00662849</td>\n",
       "      <td>27</td>\n",
       "      <td>MN</td>\n",
       "      <td>Minnesota</td>\n",
       "      <td>00</td>\n",
       "      <td>G4000</td>\n",
       "      <td>A</td>\n",
       "      <td>206229176104</td>\n",
       "      <td>18944967530</td>\n",
       "      <td>+46.3158148</td>\n",
       "      <td>-094.1996628</td>\n",
       "      <td>POLYGON ((-96.78438 46.63050, -96.78434 46.630...</td>\n",
       "      <td>[3077084445400891397, 3077647395354312710, 307...</td>\n",
       "      <td>[3077084445400891397, 3077647395354312710, 307...</td>\n",
       "      <td>MULTIPOLYGON (((-92.56837 47.54242, -96.82683 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>24</td>\n",
       "      <td>01714934</td>\n",
       "      <td>24</td>\n",
       "      <td>MD</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>00</td>\n",
       "      <td>G4000</td>\n",
       "      <td>A</td>\n",
       "      <td>25150696145</td>\n",
       "      <td>6980371026</td>\n",
       "      <td>+38.9466584</td>\n",
       "      <td>-076.6744939</td>\n",
       "      <td>POLYGON ((-77.45881 39.22027, -77.45866 39.220...</td>\n",
       "      <td>[3137320090416971783, 3164341688181194759, 316...</td>\n",
       "      <td>[3137320090416971783, 3164341688181194759, 316...</td>\n",
       "      <td>MULTIPOLYGON (((-79.56820 39.46980, -79.99541 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>44</td>\n",
       "      <td>01219835</td>\n",
       "      <td>44</td>\n",
       "      <td>RI</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>00</td>\n",
       "      <td>G4000</td>\n",
       "      <td>A</td>\n",
       "      <td>2677997539</td>\n",
       "      <td>1323452846</td>\n",
       "      <td>+41.5974187</td>\n",
       "      <td>-071.5272723</td>\n",
       "      <td>MULTIPOLYGON (((-71.67881 41.15891, -71.67626 ...</td>\n",
       "      <td>[3163708369483595783, 3163391710134796295, 316...</td>\n",
       "      <td>[3163708369483595783, 3163391710134796295, 316...</td>\n",
       "      <td>MULTIPOLYGON (((-71.71678 40.71857, -71.16875 ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  REGION DIVISION STATEFP   STATENS GEOID STUSPS           NAME LSAD  MTFCC  \\\n",
       "0      3        5      54  01779805    54     WV  West Virginia   00  G4000   \n",
       "1      3        5      12  00294478    12     FL        Florida   00  G4000   \n",
       "2      2        3      17  01779784    17     IL       Illinois   00  G4000   \n",
       "3      2        4      27  00662849    27     MN      Minnesota   00  G4000   \n",
       "4      3        5      24  01714934    24     MD       Maryland   00  G4000   \n",
       "5      1        1      44  01219835    44     RI   Rhode Island   00  G4000   \n",
       "\n",
       "  FUNCSTAT         ALAND       AWATER     INTPTLAT      INTPTLON  \\\n",
       "0        A   62265662566    489840834  +38.6472854  -080.6183274   \n",
       "1        A  138911437206  31398800291  +28.4574302  -082.4091478   \n",
       "2        A  143784114293   6211277447  +40.1028754  -089.1526108   \n",
       "3        A  206229176104  18944967530  +46.3158148  -094.1996628   \n",
       "4        A   25150696145   6980371026  +38.9466584  -076.6744939   \n",
       "5        A    2677997539   1323452846  +41.5974187  -071.5272723   \n",
       "\n",
       "                                            geometry  \\\n",
       "0  POLYGON ((-81.74725 39.09538, -81.74635 39.096...   \n",
       "1  MULTIPOLYGON (((-82.98748 24.62538, -82.98748 ...   \n",
       "2  POLYGON ((-91.18529 40.63780, -91.17510 40.643...   \n",
       "3  POLYGON ((-96.78438 46.63050, -96.78434 46.630...   \n",
       "4  POLYGON ((-77.45881 39.22027, -77.45866 39.220...   \n",
       "5  MULTIPOLYGON (((-71.67881 41.15891, -71.67626 ...   \n",
       "\n",
       "                                               stare  \\\n",
       "0  [3137320090416971783, 3137355274789060615, 313...   \n",
       "1  [3119129770047045639, 3119446429395845126, 312...   \n",
       "2  [3072299370796810246, 3072440108285165574, 307...   \n",
       "3  [3077084445400891397, 3077647395354312710, 307...   \n",
       "4  [3137320090416971783, 3164341688181194759, 316...   \n",
       "5  [3163708369483595783, 3163391710134796295, 316...   \n",
       "\n",
       "                                                sids  \\\n",
       "0  [3137320090416971783, 3137355274789060615, 313...   \n",
       "1  [3119129770047045639, 3119446429395845126, 312...   \n",
       "2  [3072299370796810246, 3072440108285165574, 307...   \n",
       "3  [3077084445400891397, 3077647395354312710, 307...   \n",
       "4  [3137320090416971783, 3164341688181194759, 316...   \n",
       "5  [3163708369483595783, 3163391710134796295, 316...   \n",
       "\n",
       "                                             trixels  \n",
       "0  MULTIPOLYGON (((-79.56820 39.46980, -79.99541 ...  \n",
       "1  MULTIPOLYGON (((-82.52250 24.32624, -82.98181 ...  \n",
       "2  MULTIPOLYGON (((-88.73033 38.14162, -88.05766 ...  \n",
       "3  MULTIPOLYGON (((-92.56837 47.54242, -96.82683 ...  \n",
       "4  MULTIPOLYGON (((-79.56820 39.46980, -79.99541 ...  \n",
       "5  MULTIPOLYGON (((-71.71678 40.71857, -71.16875 ...  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:19.321537Z",
     "iopub.status.busy": "2022-09-15T05:08:19.321262Z",
     "iopub.status.idle": "2022-09-15T05:08:19.565948Z",
     "shell.execute_reply": "2022-09-15T05:08:19.565423Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>REGION</th>\n",
       "      <th>DIVISION</th>\n",
       "      <th>STATEFP</th>\n",
       "      <th>STATENS</th>\n",
       "      <th>GEOID</th>\n",
       "      <th>STUSPS</th>\n",
       "      <th>NAME</th>\n",
       "      <th>LSAD</th>\n",
       "      <th>MTFCC</th>\n",
       "      <th>FUNCSTAT</th>\n",
       "      <th>ALAND</th>\n",
       "      <th>AWATER</th>\n",
       "      <th>INTPTLAT</th>\n",
       "      <th>INTPTLON</th>\n",
       "      <th>geometry</th>\n",
       "      <th>stare</th>\n",
       "      <th>sids</th>\n",
       "      <th>trixels</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>24</td>\n",
       "      <td>01714934</td>\n",
       "      <td>24</td>\n",
       "      <td>MD</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>00</td>\n",
       "      <td>G4000</td>\n",
       "      <td>A</td>\n",
       "      <td>25150696145</td>\n",
       "      <td>6980371026</td>\n",
       "      <td>+38.9466584</td>\n",
       "      <td>-076.6744939</td>\n",
       "      <td>POLYGON ((-77.45881 39.22027, -77.45866 39.220...</td>\n",
       "      <td>[3137320090416971783, 3164341688181194759, 316...</td>\n",
       "      <td>[3137320090416971783, 3164341688181194759, 316...</td>\n",
       "      <td>MULTIPOLYGON (((-79.56820 39.46980, -79.99541 ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  REGION DIVISION STATEFP   STATENS GEOID STUSPS      NAME LSAD  MTFCC  \\\n",
       "4      3        5      24  01714934    24     MD  Maryland   00  G4000   \n",
       "\n",
       "  FUNCSTAT        ALAND      AWATER     INTPTLAT      INTPTLON  \\\n",
       "4        A  25150696145  6980371026  +38.9466584  -076.6744939   \n",
       "\n",
       "                                            geometry  \\\n",
       "4  POLYGON ((-77.45881 39.22027, -77.45866 39.220...   \n",
       "\n",
       "                                               stare  \\\n",
       "4  [3137320090416971783, 3164341688181194759, 316...   \n",
       "\n",
       "                                                sids  \\\n",
       "4  [3137320090416971783, 3164341688181194759, 316...   \n",
       "\n",
       "                                             trixels  \n",
       "4  MULTIPOLYGON (((-79.56820 39.46980, -79.99541 ...  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(7,7), dpi=100)\n",
    "ax.grid(True)\n",
    "\n",
    "hawaii = us[us['NAME']=='Maryland']\n",
    "hawaii.plot(ax=ax, trixels=True)\n",
    "hawaii"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# Parallel dissolve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:19.568068Z",
     "iopub.status.busy": "2022-09-15T05:08:19.567880Z",
     "iopub.status.idle": "2022-09-15T05:08:23.528204Z",
     "shell.execute_reply": "2022-09-15T05:08:23.527479Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "us_regions = us.stare_dissolve(by='REGION', aggfunc='sum', num_workers=4, geom=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:23.531197Z",
     "iopub.status.busy": "2022-09-15T05:08:23.530757Z",
     "iopub.status.idle": "2022-09-15T05:08:25.208109Z",
     "shell.execute_reply": "2022-09-15T05:08:25.207604Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "trixels = us_regions.make_trixels(n_partitions=4)\n",
    "us_regions.set_trixels(trixels, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:25.210363Z",
     "iopub.status.busy": "2022-09-15T05:08:25.210045Z",
     "iopub.status.idle": "2022-09-15T05:08:25.359680Z",
     "shell.execute_reply": "2022-09-15T05:08:25.359162Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(7,7), dpi=100)\n",
    "ax.grid(True)\n",
    "\n",
    "ax.set_xlim(-170, -50)\n",
    "ax.set_ylim(0, 80)\n",
    "\n",
    "us_regions.reset_index().plot(ax=ax, trixels=True, column='REGION')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# Parallel Intersects"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Cover"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:25.362759Z",
     "iopub.status.busy": "2022-09-15T05:08:25.362357Z",
     "iopub.status.idle": "2022-09-15T05:08:31.818525Z",
     "shell.execute_reply": "2022-09-15T05:08:31.818012Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "us = starepandas.STAREDataFrame(us, add_sids=True, \n",
    "                                level=6, add_trixels=True, n_partitions=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:31.822144Z",
     "iopub.status.busy": "2022-09-15T05:08:31.821778Z",
     "iopub.status.idle": "2022-09-15T05:08:33.376347Z",
     "shell.execute_reply": "2022-09-15T05:08:33.375842Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "filepath = '../tests/data/granules/VNP03DNB.A2020219.0742.001.2020219124651.nc'\n",
    "vnp03 = starepandas.io.granules.VNP03DNB(filepath)\n",
    "vnp03.read_sidecar_cover()\n",
    "vnp03_cover = vnp03.stare_cover\n",
    "vnp03_cover_df = starepandas.STAREDataFrame({'stare': vnp03.stare_cover}, sids='stare', add_trixels=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:33.378793Z",
     "iopub.status.busy": "2022-09-15T05:08:33.378597Z",
     "iopub.status.idle": "2022-09-15T05:08:34.872058Z",
     "shell.execute_reply": "2022-09-15T05:08:34.871585Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(7,7), dpi=100)\n",
    "ax.grid(True)\n",
    "\n",
    "ax.set_xlim(-130, -60)\n",
    "ax.set_ylim(15, 50)\n",
    "\n",
    "us.plot(ax=ax, column='NAME', trixels=True, linewidth=0.5)\n",
    "vnp03_cover_df.plot(ax=ax, trixels=True, color='k', linewidth=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:34.875026Z",
     "iopub.status.busy": "2022-09-15T05:08:34.874755Z",
     "iopub.status.idle": "2022-09-15T05:08:34.880101Z",
     "shell.execute_reply": "2022-09-15T05:08:34.879743Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "def series_intersects(other, series, method=1, n_workers=1):\n",
    "    \"\"\" \n",
    "    Returns a bool series of length len(series).\n",
    "    True for every row in which row intersects other.    \n",
    "    \"\"\"\n",
    "    other = numpy.array([other]).flatten()\n",
    "    \n",
    "    if n_workers > len(series):\n",
    "        # Cannot have more partitions than rows        \n",
    "        n_workers = len(series) \n",
    "        \n",
    "    if n_workers == 1:        \n",
    "        if series.dtype in [numpy.dtype('uint64'), numpy.dtype('int64'), pandas.UInt64Dtype(), pandas.Int64Dtype()]:               \n",
    "            # We have a series of sids; don't need to iterate. Can send the whole array to pystare/\n",
    "            intersects = pystare.intersects(other, series, method)\n",
    "        else:\n",
    "            intersects = []   \n",
    "            for sids in series:        \n",
    "                if len(list(sids)) < len(other):\n",
    "                    # If we do method 1, larger item first is faster\n",
    "                    intersects.append(pystare.intersects(other, sids, method).any())\n",
    "                else:\n",
    "                    intersects.append(pystare.intersects(sids, other, method).any())\n",
    "            intersects = numpy.array(intersects)\n",
    "    else:\n",
    "        ddf = dask.dataframe.from_pandas(series, npartitions=n_workers)\n",
    "        meta = {'intersects': 'bool'}\n",
    "        res = ddf.map_partitions(lambda df: series_intersects(other, df, method, 1), meta=meta)\n",
    "        intersects = res.compute(scheduler='processes')    \n",
    "    return intersects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:34.881803Z",
     "iopub.status.busy": "2022-09-15T05:08:34.881610Z",
     "iopub.status.idle": "2022-09-15T05:08:34.883831Z",
     "shell.execute_reply": "2022-09-15T05:08:34.883507Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "a = numpy.array(vnp03_cover)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:34.885870Z",
     "iopub.status.busy": "2022-09-15T05:08:34.885601Z",
     "iopub.status.idle": "2022-09-15T05:08:34.890546Z",
     "shell.execute_reply": "2022-09-15T05:08:34.890157Z"
    },
    "scrolled": true,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0:00:00.001699\n"
     ]
    }
   ],
   "source": [
    "start = datetime.datetime.now()\n",
    "intersects = series_intersects(a, us['stare'] , 1, 1)\n",
    "print(datetime.datetime.now() - start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:34.892826Z",
     "iopub.status.busy": "2022-09-15T05:08:34.892596Z",
     "iopub.status.idle": "2022-09-15T05:08:35.595240Z",
     "shell.execute_reply": "2022-09-15T05:08:35.594680Z"
    },
    "scrolled": true,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0:00:00.699152\n"
     ]
    }
   ],
   "source": [
    "start = datetime.datetime.now()\n",
    "intersects = series_intersects(a, us['stare'], 1, 5)\n",
    "print(datetime.datetime.now() - start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:35.597361Z",
     "iopub.status.busy": "2022-09-15T05:08:35.597150Z",
     "iopub.status.idle": "2022-09-15T05:08:35.600677Z",
     "shell.execute_reply": "2022-09-15T05:08:35.600179Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ True,  True,  True, False,  True, False])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "intersects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:35.602630Z",
     "iopub.status.busy": "2022-09-15T05:08:35.602390Z",
     "iopub.status.idle": "2022-09-15T05:08:35.606694Z",
     "shell.execute_reply": "2022-09-15T05:08:35.606123Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['West Virginia', 'Florida', 'Illinois', 'Maryland']\n"
     ]
    }
   ],
   "source": [
    "print(list(us[intersects]['NAME']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## iFOVs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:35.609643Z",
     "iopub.status.busy": "2022-09-15T05:08:35.609438Z",
     "iopub.status.idle": "2022-09-15T05:08:39.482949Z",
     "shell.execute_reply": "2022-09-15T05:08:39.482389Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import copy\n",
    "filepath = '../tests/data/granules/VNP03DNB.A2020219.0742.001.2020219124651.nc'\n",
    "vnp03 = starepandas.read_granule(filepath, sidecar=True, xy=True)\n",
    "vnp03 = copy.copy(vnp03[vnp03.y>1500])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:39.485333Z",
     "iopub.status.busy": "2022-09-15T05:08:39.485135Z",
     "iopub.status.idle": "2022-09-15T05:08:39.489299Z",
     "shell.execute_reply": "2022-09-15T05:08:39.488843Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "state_sids = us[us['NAME']=='Florida']['stare'].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:39.491185Z",
     "iopub.status.busy": "2022-09-15T05:08:39.490972Z",
     "iopub.status.idle": "2022-09-15T05:08:48.746428Z",
     "shell.execute_reply": "2022-09-15T05:08:48.745651Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0:00:09.251401\n"
     ]
    }
   ],
   "source": [
    "start = datetime.datetime.now()\n",
    "intersects = series_intersects(state_sids, vnp03['sids'])\n",
    "print(datetime.datetime.now() - start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:48.749555Z",
     "iopub.status.busy": "2022-09-15T05:08:48.749312Z",
     "iopub.status.idle": "2022-09-15T05:08:55.361230Z",
     "shell.execute_reply": "2022-09-15T05:08:55.360743Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0:00:06.608146\n"
     ]
    }
   ],
   "source": [
    "start = datetime.datetime.now()\n",
    "intersects = series_intersects(state_sids, vnp03['sids'], 1, 60)\n",
    "print(datetime.datetime.now() - start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:55.363196Z",
     "iopub.status.busy": "2022-09-15T05:08:55.362952Z",
     "iopub.status.idle": "2022-09-15T05:08:55.373665Z",
     "shell.execute_reply": "2022-09-15T05:08:55.372943Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.04182729704280899"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "intersects.sum()/vnp03.index.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:55.376748Z",
     "iopub.status.busy": "2022-09-15T05:08:55.376156Z",
     "iopub.status.idle": "2022-09-15T05:08:55.417027Z",
     "shell.execute_reply": "2022-09-15T05:08:55.416398Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sids</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>moon_illumination_fraction</th>\n",
       "      <th>land_water_mask</th>\n",
       "      <th>quality_flag</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>6102337</th>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>3425</td>\n",
       "      <td>2228</td>\n",
       "      <td>92.879997</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>9058018</th>\n",
       "      <td>3118997831926651342</td>\n",
       "      <td>3426</td>\n",
       "      <td>2228</td>\n",
       "      <td>92.879997</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>3427</td>\n",
       "      <td>2228</td>\n",
       "      <td>92.879997</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>294246 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        sids     x     y  moon_illumination_fraction  \\\n",
       "6102337  3397086378837675182  2273  1501                   92.849998   \n",
       "6102338  3397086381026421070  2274  1501                   92.849998   \n",
       "6102339  3397086404710208846  2275  1501                   92.849998   \n",
       "6102340  3397086415242594286  2276  1501                   92.849998   \n",
       "6102341  3397086441098915054  2277  1501                   92.849998   \n",
       "...                      ...   ...   ...                         ...   \n",
       "9058015  3118997947546240654  3423  2228                   92.879997   \n",
       "9058016  3118997851493397806  3424  2228                   92.879997   \n",
       "9058017  3118997861386527694  3425  2228                   92.879997   \n",
       "9058018  3118997831926651342  3426  2228                   92.879997   \n",
       "9058019  3118901074887783182  3427  2228                   92.879997   \n",
       "\n",
       "         land_water_mask  quality_flag  \n",
       "6102337                0             0  \n",
       "6102338                0             0  \n",
       "6102339                0             0  \n",
       "6102340                0             0  \n",
       "6102341                0             0  \n",
       "...                  ...           ...  \n",
       "9058015                7             0  \n",
       "9058016                7             0  \n",
       "9058017                7             0  \n",
       "9058018                7             0  \n",
       "9058019                7             0  \n",
       "\n",
       "[294246 rows x 6 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vnp03[intersects]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## High level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:08:55.421081Z",
     "iopub.status.busy": "2022-09-15T05:08:55.420614Z",
     "iopub.status.idle": "2022-09-15T05:09:09.027056Z",
     "shell.execute_reply": "2022-09-15T05:09:09.026498Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "intersects = vnp03.stare_intersects(other=state_sids, method=1, n_partitions=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-15T05:09:09.029820Z",
     "iopub.status.busy": "2022-09-15T05:09:09.029560Z",
     "iopub.status.idle": "2022-09-15T05:09:09.037188Z",
     "shell.execute_reply": "2022-09-15T05:09:09.036780Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'starepandas.staredataframe.STAREDataFrame'>\n",
      "Int64Index: 7034784 entries, 6100064 to 13134847\n",
      "Data columns (total 6 columns):\n",
      " #   Column                      Dtype  \n",
      "---  ------                      -----  \n",
      " 0   sids                        Int64  \n",
      " 1   x                           uint16 \n",
      " 2   y                           uint16 \n",
      " 3   moon_illumination_fraction  float32\n",
      " 4   land_water_mask             UInt8  \n",
      " 5   quality_flag                UInt8  \n",
      "dtypes: Int64(1), UInt8(2), float32(1), uint16(2)\n",
      "memory usage: 194.6 MB\n"
     ]
    }
   ],
   "source": [
    "vnp03.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": []
  }
 ],
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    "name": "ipython",
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