hpos-web/device_5_result_csv_final.ipynb

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   "outputs": [],
   "source": [
    "import csv\n",
    "\n",
    "def copy_columns(source_file, destination_file, header_names):\n",
    "    with open(source_file, 'r', newline='') as source_csvfile, open(destination_file, 'w', newline='') as destination_csvfile:\n",
    "        reader = csv.DictReader(source_csvfile)\n",
    "        fieldnames = header_names\n",
    "        writer = csv.DictWriter(destination_csvfile, fieldnames=fieldnames)\n",
    "\n",
    "        writer.writeheader()\n",
    "\n",
    "        for row in reader:\n",
    "            selected_data = {key: row[key] for key in fieldnames if key in row}\n",
    "            writer.writerow(selected_data)\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    source_csv = \"path/to/source_file.csv\"  # Replace with the path to your source CSV file\n",
    "    destination_csv = \"path/to/destination_file.csv\"  # Replace with the path to your destination CSV file\n",
    "    header_names = [\"Name\", \"ABHA ID\", \"Age\", \"Gender\", \"Category\", \"Marital Status\", \"Care-of\", \"Address\", \"District\", \"State\", \"Pincode\", \"Mobile Number\", \"Blood group\", \"Test Result\"]  # Replace with the header names you want to copy\n",
    "\n",
    "    copy_columns(source_csv, destination_csv, header_names)\n",
    "\n",
    "    print(\"Data copied successfully.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c242e21e-48a9-462c-8e3f-453913f84564",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data copied successfully with new header.\n"
     ]
    }
   ],
   "source": [
    "import csv\n",
    "from datetime import datetime\n",
    "\n",
    "def calculate_age(birth_year):\n",
    "    current_year = datetime.now().year\n",
    "    return current_year - birth_year\n",
    "\n",
    "def copy_csv_with_new_header(source_file, destination_file, destination_header):\n",
    "    # Create a list to store the filtered data from the source CSV file\n",
    "    temp_data = []\n",
    "\n",
    "    # Create a mapping for the destination header names to the source header names\n",
    "    header_mapping = {\n",
    "        \"Name\": \"name\",\n",
    "        \"ABHA ID\": \"abhaId\",\n",
    "        \"Age\": \"birthYear\",\n",
    "        \"Gender\": \"gender\",\n",
    "        \"Category\": \"category\",\n",
    "        \"Marital Status\": \"maritalStatus\",\n",
    "        \"Care-of\": \"careOf\",\n",
    "        \"Address\": \"house\",\n",
    "        \"District\": \"district\",\n",
    "        \"State\": \"state\",\n",
    "        \"Pincode\": \"pinCode\",\n",
    "        \"Mobile Number\": \"phoneNumber\",\n",
    "        \"Blood Group\": \"bloodGroup\",\n",
    "        \"Test Result\": \"Class\"\n",
    "    }\n",
    "\n",
    "    with open(source_file, 'r', newline='') as source_csvfile:\n",
    "        reader = csv.DictReader(source_csvfile)\n",
    "\n",
    "        # Read the data from the source CSV file\n",
    "        for row in reader:\n",
    "            # Assuming the column \"birthYear\" exists in the CSV\n",
    "            birth_year = int(row.get(\"birthYear\", 0))\n",
    "            updated_age = calculate_age(birth_year)\n",
    "\n",
    "            # Filter out unwanted fields from the row based on the destination header\n",
    "            filtered_row = {key: row[header_mapping[key]] if key != \"Age\" else updated_age for key in destination_header}\n",
    "\n",
    "            # Add the filtered row to the temporary data list\n",
    "            temp_data.append(filtered_row)\n",
    "\n",
    "    with open(destination_file, 'w', newline='') as destination_csvfile:\n",
    "        writer = csv.DictWriter(destination_csvfile, fieldnames=destination_header)\n",
    "\n",
    "        # Write the new header to the destination CSV file\n",
    "        writer.writeheader()\n",
    "\n",
    "        # Write the updated data to the destination CSV file\n",
    "        writer.writerows(temp_data)\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    source_csv = r\"C:\\Users\\Durga\\Desktop\\from27.csv\"  # Replace with the path to your source CSV file\n",
    "\n",
    "    # Replace with the destination header names you want in the new CSV\n",
    "    destination_header = [\"Name\", \"ABHA ID\", \"Age\", \"Gender\", \"Category\", \"Marital Status\", \"Care-of\", \"Address\", \n",
    "                          \"District\", \"State\", \"Pincode\", \"Mobile Number\", \"Blood Group\", \"Test Result\"]\n",
    "\n",
    "    destination_csv = r\"C:\\Users\\Durga\\Desktop\\result tilljuly31.csv\"  # Replace with the path to your destination CSV file\n",
    "\n",
    "    copy_csv_with_new_header(source_csv, destination_csv, destination_header)\n",
    "\n",
    "    print(\"Data copied successfully with new header.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "965db908-c717-40a3-81cb-3da73b744ec5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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