From 08bc4bf52f53cb21e6fd02ca351f35a784dbf38b Mon Sep 17 00:00:00 2001
From: chude onyeibo <chude-onyeibo@users.noreply.github.com>
Date: Mon, 15 Dec 2025 00:48:51 +0100
Subject: [PATCH] Anthony assignment

---
 02_activities/assignments/assignment_2.ipynb | 28 ++++++++++----------
 1 file changed, 14 insertions(+), 14 deletions(-)

diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb
index aa14ce03..36ad96fa 100644
--- a/02_activities/assignments/assignment_2.ipynb
+++ b/02_activities/assignments/assignment_2.ipynb
@@ -133,7 +133,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {
     "id": "82-bk4CBB1w4"
    },
@@ -149,12 +149,15 @@
     "    if operation == 'mean':\n",
     "        # YOUR CODE HERE: Calculate the mean (average) number of flare-ups for each patient\n",
     "        summary_values = np.mean(data, axis=ax)\n",
+    "\n",
     "    elif operation == 'max':\n",
     "        # YOUR CODE HERE: Calculate the maximum number of flare-ups experienced by each patient\n",
     "        summary_values = np.max(data, axis=ax)\n",
+    "\n",
     "    elif operation == 'min':\n",
     "        # YOUR CODE HERE: Calculate the minimum number of flare-ups experienced by each patient\n",
     "        summary_values = np.min(data, axis=ax)\n",
+    "\n",
     "    else:\n",
     "        # If the operation is not one of the expected values, raise an error\n",
     "        raise ValueError(\"Invalid operation. Please choose 'mean', 'max', or 'min'.\")\n",
@@ -231,7 +234,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {
     "id": "_svDiRkdIwiT"
    },
@@ -254,7 +257,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {
     "id": "LEYPM5v4JT0i"
    },
@@ -264,23 +267,20 @@
     "\n",
     "def detect_problems(file_path):\n",
     "  #YOUR CODE HERE: Use patient_summary() to get the means and check_zeros() to check for zeros in the means\n",
+    "  # Get the mean inflammation scores for all patients\n",
+    "  means = patient_summary(file_path, 'mean')\n",
+    "    \n",
+    "  # Check if there are any zero values in the means\n",
+    "  has_zeros = check_zeros(means)\n",
     "\n",
-    "  return"
+    "  return has_zeros"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "None\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Test out your code here\n",
     "# Your output for the first file should be False\n",