clean up notebook

Urban-Analytics-Technology-Platform · Feb 15, 2024 · 1785547 · 1785547
1 parent 520176f
commit 1785547
Showing 1 changed file with 2 additions and 135 deletions.
diff --git a/notebooks/synthpop.ipynb b/notebooks/synthpop.ipynb
@@ -138,21 +138,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
-      "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
-      "\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
-      "\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "# Subset of (non-time-use) features to include and unnest\n",
@@ -200,127 +188,6 @@
     "# save the output\n",
     "spc_people_tu.write_parquet('../data/spc_output/' + region + '_people_tu.parquet')"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['id',\n",
-       " 'household',\n",
-       " 'bmi',\n",
-       " 'has_cardiovascular_disease',\n",
-       " 'has_diabetes',\n",
-       " 'has_high_blood_pressure',\n",
-       " 'self_assessed_health',\n",
-       " 'life_satisfaction',\n",
-       " 'age_years',\n",
-       " 'sex',\n",
-       " 'nssec8',\n",
-       " 'pwkstat',\n",
-       " 'salary_yearly',\n",
-       " 'weekday_diaries',\n",
-       " 'uid',\n",
-       " 'weekday',\n",
-       " 'day_type',\n",
-       " 'month',\n",
-       " 'pworkhome',\n",
-       " 'phomeother',\n",
-       " 'pwork',\n",
-       " 'pschool',\n",
-       " 'pshop',\n",
-       " 'pservices',\n",
-       " 'pleisure',\n",
-       " 'pescort',\n",
-       " 'ptransport',\n",
-       " 'phome_total',\n",
-       " 'pnothome_total',\n",
-       " 'punknown_total',\n",
-       " 'pmwalk',\n",
-       " 'pmcycle',\n",
-       " 'pmprivate',\n",
-       " 'pmpublic',\n",
-       " 'pmunknown',\n",
-       " 'age35g']"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "spc_people_tu.columns\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (2_339_931,)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>health</th></tr><tr><td>struct[7]</td></tr></thead><tbody><tr><td>{24.879356,false,false,false,null,3,2}</td></tr><tr><td>{27.491207,false,false,true,null,3,null}</td></tr><tr><td>{17.310829,false,true,true,null,2,4}</td></tr><tr><td>{20.852091,false,false,false,null,2,1}</td></tr><tr><td>{20.032526,false,false,false,1,2,3}</td></tr><tr><td>{29.106817,false,false,true,null,1,3}</td></tr><tr><td>{25.621599,false,false,false,3,3,3}</td></tr><tr><td>{33.893459,true,false,true,3,1,3}</td></tr><tr><td>{null,false,false,false,null,1,null}</td></tr><tr><td>{24.492905,false,false,false,null,4,2}</td></tr><tr><td>{31.561234,true,false,true,4,2,4}</td></tr><tr><td>{28.171663,false,true,true,null,3,3}</td></tr><tr><td>&hellip;</td></tr><tr><td>{22.046501,false,false,false,2,1,3}</td></tr><tr><td>{14.627893,false,false,false,1,1,1}</td></tr><tr><td>{25.986469,false,false,false,0,1,null}</td></tr><tr><td>{23.44569,false,false,false,1,3,1}</td></tr><tr><td>{26.506229,false,false,true,null,3,3}</td></tr><tr><td>{25.481789,false,false,false,null,3,2}</td></tr><tr><td>{14.997225,false,false,false,2,3,2}</td></tr><tr><td>{22.199043,false,false,false,0,2,2}</td></tr><tr><td>{23.534786,false,false,false,null,3,2}</td></tr><tr><td>{18.523956,true,false,true,7,4,4}</td></tr><tr><td>{28.988529,false,false,false,null,1,3}</td></tr><tr><td>{18.38345,false,false,false,1,1,3}</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (2_339_931,)\n",
-       "Series: 'health' [struct[7]]\n",
-       "[\n",
-       "\t{24.879356,false,false,false,null,3,2}\n",
-       "\t{27.491207,false,false,true,null,3,null}\n",
-       "\t{17.310829,false,true,true,null,2,4}\n",
-       "\t{20.852091,false,false,false,null,2,1}\n",
-       "\t{20.032526,false,false,false,1,2,3}\n",
-       "\t{29.106817,false,false,true,null,1,3}\n",
-       "\t{25.621599,false,false,false,3,3,3}\n",
-       "\t{33.893459,true,false,true,3,1,3}\n",
-       "\t{null,false,false,false,null,1,null}\n",
-       "\t{24.492905,false,false,false,null,4,2}\n",
-       "\t{31.561234,true,false,true,4,2,4}\n",
-       "\t{28.171663,false,true,true,null,3,3}\n",
-       "\t…\n",
-       "\t{27.222017,false,false,false,null,2,4}\n",
-       "\t{22.046501,false,false,false,2,1,3}\n",
-       "\t{14.627893,false,false,false,1,1,1}\n",
-       "\t{25.986469,false,false,false,0,1,null}\n",
-       "\t{23.44569,false,false,false,1,3,1}\n",
-       "\t{26.506229,false,false,true,null,3,3}\n",
-       "\t{25.481789,false,false,false,null,3,2}\n",
-       "\t{14.997225,false,false,false,2,3,2}\n",
-       "\t{22.199043,false,false,false,0,2,2}\n",
-       "\t{23.534786,false,false,false,null,3,2}\n",
-       "\t{18.523956,true,false,true,7,4,4}\n",
-       "\t{28.988529,false,false,false,null,1,3}\n",
-       "\t{18.38345,false,false,false,1,1,3}\n",
-       "]"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "spc_people_hh['health']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {