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Merged
serrayil merged 1 commit into from
Nov 14, 2025
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Assignment_2 #2

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129 changes: 114 additions & 15 deletions 02_activities/assignments/assignment_2.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -72,11 +72,78 @@
},
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]
}
],
"source": [
"all_paths = [\n",
" \"../../05_src/data/assignment_2_data/inflammation_01.csv\",\n",
Expand All @@ -95,8 +162,13 @@
"\n",
"with open(all_paths[0], 'r') as f:\n",
" # YOUR CODE HERE: Use the readline() or readlines() method to read the .csv file into a variable\n",
" \n",
" # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection"
" #reading lines into a list\n",
" lines_list = f.readlines()\n",
"\n",
" # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection\n",
" # iterates and prints each row, stripped to remove extra \\n characters\n",
" for i, row in enumerate(lines_list):\n",
" print(f\"Row {i+1}: {row.strip()}\")\n"
]
},
{
Expand Down Expand Up @@ -130,7 +202,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {
"id": "82-bk4CBB1w4"
},
Expand All @@ -145,13 +217,16 @@
" # Implement the specific operation based on the 'operation' argument\n",
" 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) # mean of the flare-ups per patient\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) # max flare-ups per patient\n",
"\n",
" elif operation == 'min':\n",
" # YOUR CODE HERE: Calculate the minimum number of flare-ups experienced by each patient\n",
"\n",
" summary_values = np.min(data, axis=ax) # min flare-ups per patient\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",
Expand All @@ -161,11 +236,19 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"metadata": {
"id": "3TYo0-1SDLrd"
},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"60\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",
Expand Down Expand Up @@ -228,7 +311,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"metadata": {
"id": "_svDiRkdIwiT"
},
Expand All @@ -251,7 +334,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 8,
"metadata": {
"id": "LEYPM5v4JT0i"
},
Expand All @@ -262,14 +345,29 @@
"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",
"\n",
" return"
" # calling patient_summary to get the mean inflammation scores for patients\n",
" means = patient_summary(file_path, 'mean')\n",
"\n",
" #checking zeros with check_zero() to see if any mean value is zero, it will return True if any mean is zero\n",
" mean_zeros = check_zeros(means)\n",
"\n",
" #return True if any zero was found in the means, if not, return False\n",
" return mean_zeros"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 9,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"False\n"
]
}
],
"source": [
"# Test out your code here\n",
"# Your output for the first file should be False\n",
Expand Down Expand Up @@ -314,7 +412,8 @@
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"display_name": "python-env",
"language": "python",
"name": "python3"
},
"language_info": {
Expand All @@ -327,7 +426,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.11.13"
}
},
"nbformat": 4,
Expand Down