Add files via upload (#52)

NOTEBOOKS/04_API_LAYER_ETL/01_API.ipynb

@@ -410,8 +410,22 @@
     "df_dividend = pd.read_csv(dividend_gold_file_path)\n",
     "print(f\"Proccessing Data : {dividend_gold_file_path}\")\n",
     "\n",
-    "# Convert 'date' to datetime and extract year\n",
-    "df_dividend[\"year\"] = pd.to_datetime(df_dividend[\"date\"]).dt.year\n",
+    "# Convert 'date' column to datetime if not already in datetime format\n",
+    "df_dividend['date1'] = pd.to_datetime(df_dividend['date'])\n",
+    "\n",
+    "# Function to calculate financial year\n",
+    "def get_financial_year(date):\n",
+    "    year = date.year\n",
+    "    if date.month < 4:  # If month is before April, it belongs to the previous financial year\n",
+    "        start_year = year - 1\n",
+    "        end_year = year\n",
+    "    else:\n",
+    "        start_year = year\n",
+    "        end_year = year + 1\n",
+    "    return f\"{start_year}-{str(end_year)[-2:]}\"  # Format as 'YYYY-YY'\n",
+    "\n",
+    "# Apply the function to create the 'financial_year' column\n",
+    "df_dividend['year'] = df_dividend['date1'].apply(get_financial_year)\n",
     "\n",
     "stock_wise_dividend_data = [\n",
     "    {\n",
@@ -531,7 +545,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.11.6"
   }
  },
  "nbformat": 4,