Update Q2

Author: barunip

02_activities/assignments/assignment_2.ipynb

@@ -72,7 +72,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "metadata": {
     "id": "n0m48JsS-nMC"
    },
@@ -260,16 +260,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 8,
    "metadata": {
     "id": "82-bk4CBB1w4"
    },
    "outputs": [],
    "source": [
     "import numpy as np\n",
     "\n",
-    "def patient_summary(file_path, operation):\n",
-    "    data = np.loadtxt(fname=file_path, delimiter=',') # Load the data from the file\n",
+    "def patient_summary(all_paths, operation) -> np.ndarray:\n",
+    "    data = np.loadtxt(fname=all_paths, delimiter=',') # Load the data from the file\n",
     "    axis = 1  # This specifies that the operation should be done for each row (patient)\n",
     "\n",
     "    # Implement the specific operation based on the 'operation' argument\n",
@@ -293,16 +293,12 @@
     "            f\"from data with shape {data.shape}.\"\n",
     "        )\n",
     "    return summary_values\n",
-    " \n",
-    "\n",
-    "\n",
-    "  \n",
     "\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 10,
    "metadata": {
     "id": "3TYo0-1SDLrd"
    },
@@ -311,24 +307,32 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "60\n",
-      "60\n",
-      "60\n"
+      "[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
+      " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
+      " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
+      "[5.45  5.425 6.1   5.9   5.55  6.225 5.975 6.65  6.625 6.525 6.775 5.8\n",
+      " 6.225 5.75  5.225 6.3   6.55  5.7   5.85  6.55  5.775 5.825 6.175 6.1\n",
+      " 5.8   6.425 6.05  6.025 6.175 6.55  6.175 6.35  6.725 6.125 7.075 5.725\n",
+      " 5.925 6.15  6.075 5.75  5.975 5.725 6.3   5.9   6.75  5.925 7.225 6.15\n",
+      " 5.95  6.275 5.7   6.1   6.825 5.975 6.725 5.7   6.25  6.4   7.05  5.9  ]\n",
+      "[18. 18. 19. 17. 17. 18. 17. 20. 17. 18. 18. 18. 17. 16. 17. 18. 19. 19.\n",
+      " 17. 19. 19. 16. 17. 15. 17. 17. 18. 17. 20. 17. 16. 19. 15. 15. 19. 17.\n",
+      " 16. 17. 19. 16. 18. 19. 16. 19. 18. 16. 19. 15. 16. 18. 14. 20. 17. 15.\n",
+      " 17. 16. 17. 19. 18. 18.]\n"
      ]
     }
    ],
    "source": [
     "# Test it out on the data file we read in and make sure the size is what we expect i.e., 60\n",
     "# Your output for the first file should be 60\n",
     "data_min = patient_summary(all_paths[0], 'min')\n",
-    "print(len(data_min))\n",
+    "print(data_min)\n",
     "\n",
     "data_mean = patient_summary(all_paths[0], 'mean')\n",
-    "print(len(data_mean))\n",
+    "print(data_mean)\n",
     "\n",
     "data_max = patient_summary(all_paths[0], 'max')\n",
-    "print(len(data_max))\n",
-    "\n"
+    "print(data_max)\n"
    ]
   },
   {