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Assignment 2 #2

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a53eeeb
Upload Assignment 1
May 4, 2025
bb9174e
Add assignment_2.ipynb
May 11, 2025
adba66d
Remove assignment_1.ipynb from the pull request
May 11, 2025
3059d23
Revert assignment_1.ipynb to original version from the main branch
May 13, 2025
5b36d75
update assignment 2
May 19, 2025
b56ca91
add A2
May 19, 2025
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67 changes: 53 additions & 14 deletions 02_activities/assignments/assignment_2.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -76,7 +76,20 @@
"metadata": {
"id": "n0m48JsS-nMC"
},
"outputs": [],
"outputs": [
{
"ename": "FileNotFoundError",
"evalue": "[Errno 2] No such file or directory: 'python/05_src/data/assignment_2_data/inflammation_01.csv'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[21], line 16\u001b[0m\n\u001b[1;32m 1\u001b[0m all_paths \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m 2\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpython/05_src/data/assignment_2_data/inflammation_01.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 3\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpython/05_src/data/assignment_2_data/inflammation_02.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpython/05_src/data/assignment_2_data/inflammation_12.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 14\u001b[0m ]\n\u001b[0;32m---> 16\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mall_paths\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mr\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[1;32m 17\u001b[0m lines \u001b[38;5;241m=\u001b[39m f\u001b[38;5;241m.\u001b[39mreadlines()\n\u001b[1;32m 18\u001b[0m \u001b[38;5;66;03m# YOUR CODE HERE: Use the readline() or readlines() method to read the .csv file into a variable\u001b[39;00m\n\u001b[1;32m 19\u001b[0m \n\u001b[1;32m 20\u001b[0m \u001b[38;5;66;03m# YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection\u001b[39;00m\n",
"File \u001b[0;32m/opt/miniconda3/envs/dsi_participant/lib/python3.9/site-packages/IPython/core/interactiveshell.py:310\u001b[0m, in \u001b[0;36m_modified_open\u001b[0;34m(file, *args, **kwargs)\u001b[0m\n\u001b[1;32m 303\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m}:\n\u001b[1;32m 304\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 305\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIPython won\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt let you open fd=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m by default \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 306\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mas it is likely to crash IPython. If you know what you are doing, \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 307\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myou can use builtins\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m open.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 308\u001b[0m )\n\u001b[0;32m--> 310\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mio_open\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'python/05_src/data/assignment_2_data/inflammation_01.csv'"
]
}
],
"source": [
"all_paths = [\n",
" \"python/05_src/data/assignment_2_data/inflammation_01.csv\",\n",
Expand All @@ -94,9 +107,12 @@
"]\n",
"\n",
"with open(all_paths[0], 'r') as f:\n",
" lines = f.readlines()\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"
" # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection\n",
"for line in lines:\n",
" print(line.strip())"
]
},
{
Expand Down Expand Up @@ -130,7 +146,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 15,
"metadata": {
"id": "82-bk4CBB1w4"
},
Expand All @@ -144,12 +160,15 @@
"\n",
" # Implement the specific operation based on the 'operation' argument\n",
" if operation == 'mean':\n",
" summary_values = np.mean(data, axis=ax)\n",
" # YOUR CODE HERE: Calculate the mean (average) number of flare-ups for each patient\n",
"\n",
" elif operation == 'max':\n",
" summary_values = np.max(data, axis=ax) \n",
" # YOUR CODE HERE: Calculate the maximum number of flare-ups experienced by each patient\n",
"\n",
" elif operation == 'min':\n",
" summary_values = np.min(data, axis=ax)\n",
" # YOUR CODE HERE: Calculate the minimum number of flare-ups experienced by each patient\n",
"\n",
" else:\n",
Expand All @@ -161,11 +180,19 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 16,
"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 +255,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 17,
"metadata": {
"id": "_svDiRkdIwiT"
},
Expand All @@ -251,7 +278,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 19,
"metadata": {
"id": "LEYPM5v4JT0i"
},
Expand All @@ -260,16 +287,27 @@
"# Define your function `detect_problems` here\n",
"\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",
"\n",
" return"
" mean_inflammation = patient_summary(file_path, 'mean')\n",
" if check_zeros(mean_inflammation):\n",
" return True\n",
" else:\n",
" return False\n",
" #YOUR CODE HERE: Use patient_summary() to get the means and check_zeros() to check for zeros in the means\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 20,
"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 +352,8 @@
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"display_name": "dsi_participant",
"language": "python",
"name": "python3"
},
"language_info": {
Expand All @@ -327,7 +366,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.9.21"
}
},
"nbformat": 4,
Expand Down