Pandas and numpy

Author: rayxtr

Greater20

@@ -74,13 +74,6 @@
     "\n",
     "\n"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

Greater20.xlsx

@@ -20,29 +20,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "07e0d62b",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "      Album  Year\n",
-      "0  Believer  2018\n",
-      "1     Masti  2020\n",
-      "2  Fade way  2009\n",
-      "      Album\n",
-      "0  Believer\n",
-      "1     Masti\n",
-      "2  Fade way\n",
-      "P-00089\n",
-      "MARMUL FALCON TRADE & Co\n",
-      "Believer\n",
-      "LIFTEX TRADING GP L.L.C-FZ\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import pandas as pd;\n",
     "\n",
@@ -70,10 +51,46 @@
     "print(df.iloc[4,3])"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "83438a76",
+   "metadata": {},
+   "source": [
+    "## Pandas : Woking With and Saving Data|||\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "6f49e93f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "44.839011583111116 - 9.002 - 0    1.872072\n",
+      "Name: Price, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "fs = pd.read_excel('file3.xlsx');\n",
+    "value = fs[fs['Price']>20];   # Giving a specific conditons to get specific range values.\n",
+    "\n",
+    "value.to_excel('Greater20.xlsx')\n",
+    "value.to_csv('Greater20')\n",
+    "pmean = fs['Price'].mean();\n",
+    "pmedian = fs['Price'].median();\n",
+    "pmode = fs['Price'].mode();\n",
+    "print(pmean, '-' , pmedian, '-' ,pmode)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "83438a76",
+   "id": "4607143c",
    "metadata": {},
    "outputs": [],
    "source": []