numpy

Author: rayxtr

numpy.ipynb

@@ -159,9 +159,50 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "dfcd4b59",
    "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Array 1: [1, 3, 5, 7, 9]\n",
+      "Array 2: [2, 3, 5, 8, 10]\n",
+      "Union: [1, 2, 3, 5, 7, 8, 9, 10]\n",
+      "Mean: 5.625\n",
+      "Median: 6.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "# Step 1: Define two arrays\n",
+    "array1 = [1, 3, 5, 7, 9]\n",
+    "array2 = [2, 3, 5, 8, 10]\n",
+    "\n",
+    "# Step 2: Get the union (remove duplicates)\n",
+    "union_array = list(set(array1 + array2))\n",
+    "union_array.sort()\n",
+    "\n",
+    "# Step 3: Calculate mean and median\n",
+    "mean_val = np.mean(union_array)\n",
+    "median_val = np.median(union_array)\n",
+    "\n",
+    "# Step 4: Print results\n",
+    "print(\"Array 1:\", array1)\n",
+    "print(\"Array 2:\", array2)\n",
+    "print(\"Union:\", union_array)\n",
+    "print(\"Mean:\", mean_val)\n",
+    "print(\"Median:\", median_val)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ae81dca2",
+   "metadata": {},
    "outputs": [],
    "source": []
   }
@@ -182,7 +223,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.13.2"
   }
  },
  "nbformat": 4,