issue.ipynb

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       "<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>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>DateTime(GMT)</th>\n",
       "      <th>Fcst Hour</th>\n",
       "      <th>Day of Week</th>\n",
       "      <th>Temp</th>\n",
       "      <th>DewPt</th>\n",
       "      <th>Precipitation Amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>36</td>\n",
       "      <td>-115</td>\n",
       "      <td>3/26/18 19:00</td>\n",
       "      <td>1</td>\n",
       "      <td>Monday</td>\n",
       "      <td>55</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>36</td>\n",
       "      <td>-115</td>\n",
       "      <td>3/26/18 20:00</td>\n",
       "      <td>2</td>\n",
       "      <td>Monday</td>\n",
       "      <td>57</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>36</td>\n",
       "      <td>-115</td>\n",
       "      <td>3/26/18 21:00</td>\n",
       "      <td>3</td>\n",
       "      <td>Monday</td>\n",
       "      <td>58</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>36</td>\n",
       "      <td>-115</td>\n",
       "      <td>3/26/18 22:00</td>\n",
       "      <td>4</td>\n",
       "      <td>Monday</td>\n",
       "      <td>59</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>36</td>\n",
       "      <td>-115</td>\n",
       "      <td>3/26/18 23:00</td>\n",
       "      <td>5</td>\n",
       "      <td>Monday</td>\n",
       "      <td>61</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Latitude  Longitude  DateTime(GMT)  Fcst Hour Day of Week  Temp  DewPt  \\\n",
       "0        36       -115  3/26/18 19:00          1      Monday    55     12   \n",
       "1        36       -115  3/26/18 20:00          2      Monday    57     12   \n",
       "2        36       -115  3/26/18 21:00          3      Monday    58     10   \n",
       "3        36       -115  3/26/18 22:00          4      Monday    59      9   \n",
       "4        36       -115  3/26/18 23:00          5      Monday    61      8   \n",
       "\n",
       "   Precipitation Amount  \n",
       "0                     0  \n",
       "1                     0  \n",
       "2                     0  \n",
       "3                     0  \n",
       "4                     0  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from arcgis.gis import *\n",
    "import pandas as pd\n",
    "\n",
    "gis = GIS()\n",
    "m = gis.map('Henderson, NV')\n",
    "\n",
    "in_csv = 'test-files/FODoutput_csv.csv'\n",
    "df = pd.read_csv(in_csv)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "model_id": "e81e67ffdb3f4c10872e3292a6540a64"
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     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pts = gis.content.import_data(df)\n",
    "m.add_layer(pts)\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
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