CSV manipulation

CSV manipulation provided for continents on csv

ContinentsPHS.ipynb

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+{
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+   "id": "31c78300-b0ea-4e03-979f-b8f12a55a4df",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "# Load your CSV\n",
+    "df = pd.read_csv(\"FilteredPHSbySES.csv\")\n",
+    "\n",
+    "# Define full mapping\n",
+    "country_to_continent = {\n",
+    "    'POL': 'Europe', 'NZL': 'Oceania', 'FRA': 'Europe', 'USA': 'North America', 'CAN': 'North America',\n",
+    "    'AUS': 'Oceania', 'JPN': 'Asia', 'KOR': 'Asia', 'MEX': 'North America', 'CHL': 'South America',\n",
+    "    'DEU': 'Europe', 'ITA': 'Europe', 'ESP': 'Europe', 'SWE': 'Europe', 'NOR': 'Europe', 'DNK': 'Europe',\n",
+    "    'FIN': 'Europe', 'NLD': 'Europe', 'BEL': 'Europe', 'CHE': 'Europe', 'GBR': 'Europe', 'IRL': 'Europe',\n",
+    "    'AUT': 'Europe', 'COL': 'South America', 'SVK': 'Europe', 'GRC': 'Europe', 'TUR': 'Europe',\n",
+    "    'HUN': 'Europe', 'LTU': 'Europe', 'CZE': 'Europe', 'EST': 'Europe', 'HRV': 'Europe', 'SVN': 'Europe',\n",
+    "    'BGR': 'Europe', 'PRT': 'Europe', 'LVA': 'Europe', 'ISR': 'Asia', 'LUX': 'Europe', 'ROU': 'Europe',\n",
+    "    'ISL': 'Europe'\n",
+    "}\n",
+    "\n",
+    "# Update the ACTION column with continent mapping, then rename to CONTINENT\n",
+    "if 'ACTION' in df.columns:\n",
+    "    df['ACTION'] = df['REF_AREA'].map(country_to_continent)\n",
+    "    df.rename(columns={'ACTION': 'CONTINENT'}, inplace=True)\n",
+    "else:\n",
+    "    df['CONTINENT'] = df['REF_AREA'].map(country_to_continent)\n",
+    "\n",
+    "# Save the updated file if needed\n",
+    "df.to_csv(\"PHSwithContinent.csv\", index=False)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c29ebc0a-0d73-4541-b860-fec52aef9561",
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