Add datetime filter for fred data

coal-price-forecast.ipynb

@@ -30,11 +30,16 @@
     "\n",
     "csv_path = \"../coal-price-data/fred/\"\n",
     "csv_date = \"DATE\"\n",
+    "csv_date_start = \"2011-11-01\"\n",
+    "csv_date_end = \"2023-12-01\"\n",
     "csv_list = os.listdir(csv_path)\n",
     "for csv_file in csv_list:\n",
     "    csv_file = csv_file.split(\".\")[0]\n",
     "    df[csv_file] = pd.read_csv(f\"../coal-price-data/fred/{csv_file}.csv\")\n",
-    "    df[csv_file][\"datetime\"] = pd.to_datetime(df[csv_file][csv_date], format=\"%Y-%m-%d\")"
+    "    df[csv_file][\"datetime\"] = pd.to_datetime(df[csv_file][csv_date], format=\"%Y-%m-%d\")\n",
+    "    df_m2_filtered = df[csv_file].loc[\n",
+    "        (df[csv_file][\"datetime\"] >= csv_date_start) & (df[csv_file][\"datetime\"] < csv_date_end)\n",
+    "    ]"
    ]
   },
   {
@@ -168,23 +173,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(df_coal.min())\n",
-    "print(df_coal.max())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "year                        2011\n",
+      "date                      Apr-12\n",
+      "newcastle                   48.8\n",
+      "HBA                        49.42\n",
+      "ICI_1                      52.93\n",
+      "datetime     2011-12-01 00:00:00\n",
+      "dtype: object\n",
+      "year                        2023\n",
+      "date                      Sep-23\n",
+      "newcastle                  433.7\n",
+      "HBA                       330.97\n",
+      "ICI_1                     277.62\n",
+      "datetime     2023-12-01 00:00:00\n",
+      "dtype: object\n",
+      "DATE                 1959-01-01\n",
+      "M2SL                      286.6\n",
+      "datetime    1959-01-01 00:00:00\n",
+      "dtype: object\n",
+      "DATE                 2023-12-01\n",
+      "M2SL                    21703.5\n",
+      "datetime    2023-12-01 00:00:00\n",
+      "dtype: object\n"
+     ]
+    }
+   ],
    "source": [
-    "df_m2_filtered = df_m2.loc[\n",
-    "    (df_m2[\"datetime\"] >= \"2011-11-01\") & (df_m2[\"datetime\"] < \"2023-12-01\")\n",
-    "]"
+    "print(df[\"coal_price_data\"].min())\n",
+    "print(df[\"coal_price_data\"].max())\n",
+    "print(df[\"M2SL\"].min())\n",
+    "print(df[\"M2SL\"].max())"
    ]
   },
   {