please refer to this version of the assigment

Author: ofirsivan

02_activities/assignments/assignment_2.ipynb

@@ -72,7 +72,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 48,
    "metadata": {
     "id": "n0m48JsS-nMC"
    },
@@ -224,15 +224,17 @@
     "with open(all_paths[0], 'r') as f:\n",
     "  \n",
     "    # YOUR CODE HERE: Use the readline() or readlines() method to read the .csv file into a variable\n",
-    "    print (f.readlines ()) \n",
-    "# I open the file 01.csv as a list\n",
+    "    print (f.readlines ())\n",
+    "    \n",
+    "    \n",
+    "# I opened the file 01.csv into a variabe [as a list]\n",
     "  \n",
     "  \n",
     "    # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection\n",
     "with open(all_paths[0], 'r') as f:\n",
     "  for i in range (60):\n",
     "    print(f. readline())\n",
-    "# I opened each line fo inspection "
+    "# I opened each line for inspection using a for loop"
    ]
   },
   {
@@ -266,7 +268,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 49,
    "metadata": {
     "id": "82-bk4CBB1w4"
    },
@@ -297,12 +299,14 @@
     "        # 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",
     "\n",
-    "    return summary_values\n"
+    "    return summary_values\n",
+    "# explanation: based on the structure you provided and the lectures I defined the variable \"summary_values\" as the outcome of using one of the methods \n",
+    "# (min, max, mean) on the array \"data\", while ax defined as 1 [row]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
@@ -322,7 +326,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [
     {
@@ -337,7 +341,7 @@
        "       6.725, 5.7  , 6.25 , 6.4  , 7.05 , 5.9  ])"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 51,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -349,7 +353,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [
     {
@@ -361,7 +365,7 @@
        "       0., 0., 0., 0., 0., 0., 0., 0., 0.])"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -372,7 +376,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 53,
    "metadata": {},
    "outputs": [
     {
@@ -385,7 +389,7 @@
        "       17., 15., 17., 16., 17., 19., 18., 18.])"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -396,7 +400,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 54,
    "metadata": {
     "id": "3TYo0-1SDLrd"
    },
@@ -421,14 +425,14 @@
        "       [17., 19., 18., 18.]])"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "patient_summary (all_paths[0], 'max').reshape (15,4)\n",
-    "# here I used a method of array data type to organize the max matrix\n"
+    "# here I used an array data type's method [reshape] to organize the max matrix\n"
    ]
   },
   {
@@ -486,7 +490,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 55,
    "metadata": {
     "id": "_svDiRkdIwiT"
    },
@@ -509,7 +513,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 56,
    "metadata": {
     "id": "LEYPM5v4JT0i"
    },
@@ -526,13 +530,13 @@
     "  else:\n",
     "    return False\n",
     "  \n",
-    "  # explanation: I defined x in the same way data_mean was defined. Then, based on your explanation tath the check_zeros\n",
-    "  # function  returns only boolean values, I defined the conditional."
+    "  # explanation: I defined x in the same way \"data_mean\" was defined above. Then, based on the explanation you provided on the check_zeros\n",
+    "  # function which returns only boolean values, I defined the conditional."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 57,
    "metadata": {},
    "outputs": [
     {
@@ -551,7 +555,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 58,
    "metadata": {},
    "outputs": [
     {
@@ -565,12 +569,12 @@
    "source": [
     "print(detect_problems(all_paths[1]))\n",
     "\n",
-    "## here I changed the all the values in row 60 in \"_02.csv\" to 0, and then test this file to chec my function"
+    "## here I changed all the values in row 60 in \"_02.csv\" to 0, and then test this file to check my function"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 59,
    "metadata": {},
    "outputs": [
     {