API.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "from arcgis.gis import GIS\n",
    "from arcgis.geocoding import geocode\n",
    "from IPython.display import display\n",
    "import pandas as pd\n",
    "import os\n",
    "import shutil"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1d1f4a9dfd0c47568960a4ca0a151a6d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "MapView(layout=Layout(height='400px', width='100%'))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div class=\"map-static-img-preview-52e58be8-cbc3-4f90-8d26-29241c9c9eac\"><img src=\"\"></img></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#gis = GIS()\n",
    "gis = GIS(url='https://www.arcgis.com', username='sp21_cfp286', password='LoveData123')\n",
    "#gis = GIS(url='https://pythonapi.playground.esri.com/portal', username='sp21_cfp286', password='LoveData123')\n",
    "map1 = gis.map('USA')\n",
    "map1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Item 'out.csv' already exists.\n"
     ]
    },
    {
     "ename": "RuntimeError",
     "evalue": "Item 'out.csv' already exists.\n(Error Code: 409)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-63-70efc9a2ede4>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      8\u001b[0m \u001b[0mitem_prop\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;34m'title'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;34m'AK Voters'\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      9\u001b[0m \u001b[1;31m#print(my_csv)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 10\u001b[1;33m \u001b[0mcsv_item\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgis\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcontent\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mitem_properties\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mitem_prop\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcsv_file\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     11\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcsv_item\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     12\u001b[0m \u001b[1;31m#vals_shp = csv_item.publish()\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\arcgis\\gis\\__init__.py\u001b[0m in \u001b[0;36madd\u001b[1;34m(self, item_properties, data, thumbnail, metadata, owner, folder)\u001b[0m\n\u001b[0;32m   3433\u001b[0m             itemid = self._portal.add_item(item_properties, data,\n\u001b[0;32m   3434\u001b[0m                                            \u001b[0mthumbnail\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3435\u001b[1;33m                                            owner_name, folder)\n\u001b[0m\u001b[0;32m   3436\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3437\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mitemid\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\arcgis\\_impl\\portalpy.py\u001b[0m in \u001b[0;36madd_item\u001b[1;34m(self, item_properties, data, thumbnail, metadata, owner, folder)\u001b[0m\n\u001b[0;32m    320\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    321\u001b[0m         \u001b[0mpath\u001b[0m \u001b[1;33m+=\u001b[0m \u001b[1;34m'/addItem'\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 322\u001b[1;33m         \u001b[0mresp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcon\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpost\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpostdata\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfiles\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    323\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mresp\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mresp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'success'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    324\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mresp\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'id'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\arcgis\\_impl\\connection.py\u001b[0m in \u001b[0;36mpost\u001b[1;34m(self, path, postdata, files, ssl, compress, is_retry, use_ordered_dict, add_token, verify_cert, token, try_json, out_folder, file_name, force_bytes, add_headers)\u001b[0m\n\u001b[0;32m   1180\u001b[0m                                          verify_cert=verify_cert, is_retry=True)\n\u001b[0;32m   1181\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1182\u001b[1;33m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_handle_json_error\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresp_json\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'error'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merrorcode\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1183\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1184\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\arcgis\\_impl\\connection.py\u001b[0m in \u001b[0;36m_handle_json_error\u001b[1;34m(self, error, errorcode)\u001b[0m\n\u001b[0;32m   1201\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1202\u001b[0m         \u001b[0merrormessage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0merrormessage\u001b[0m \u001b[1;33m+\u001b[0m \u001b[1;34m\"\\n(Error Code: \"\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0merrorcode\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m+\u001b[0m\u001b[1;34m\")\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1203\u001b[1;33m         \u001b[1;32mraise\u001b[0m \u001b[0mRuntimeError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0merrormessage\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1204\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1205\u001b[0m \u001b[1;32mclass\u001b[0m \u001b[0m_StrictURLopener\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mFancyURLopener\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mRuntimeError\u001b[0m: Item 'out.csv' already exists.\n(Error Code: 409)"
     ]
    }
   ],
   "source": [
    "#copy original file for adding to portal\n",
    "data_path = os.path.join('/Users\\Cezar-PC\\Documents\\GitHub\\political-data-builder\\data', 'updating_gis_content')\n",
    "csv_file = 'out.csv'\n",
    "my_csv = shutil.copy2(os.path.join(data_path, csv_file),\n",
    "                   os.path.join(data_path, csv_file.split('.')[0] + '_'  + '.csv'))\n",
    "\n",
    "item_prop = {'title':'AK Voters'}\n",
    "#print(my_csv)\n",
    "csv_item = gis.content.add(item_properties=item_prop, data=csv_file)\n",
    "print(type(csv_item))\n",
    "#vals_shp = csv_item.publish()\n",
    "#map1.add_layer(csv_item)\n",
    "vals\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "item_prop = {'title':'AK Voters'}\n",
    "csv_item = gis.content.add(item_properties=item_prop, data=sedf)\n",
    "vals_shp = csv_item.publish()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('out.csv')\n",
    "#sdf = SpatialDataFrame.from_xy(df['Residence_Addresses_Latitude'], df['Residence_Addresses_Longitude'])\n",
    "sdf = gis.content.import_data(df[['Residence_Addresses_Latitude','Residence_Addresses_Longitude']].dropna())\n",
    "map1.add_layer(sdf)\n",
    "#broken_insulators\n",
    "#df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "model_id": "7553320e8bd841608b695e0241b7709f",
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      "text/plain": [
       "MapView(heading=359.9999987925817, jupyter_target='notebook', layout=Layout(height='400px', width='100%'), rea…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div class=\"map-static-img-preview-d15102ca-b3c8-47bf-9625-ec1e840a85d2\"><img src=\"\"></img></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "map1\n"
   ]
  }
 ],
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