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Submission of Python assignment 2 #2

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Submission of Python assignment 2 #2

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216 changes: 195 additions & 21 deletions 02_assignments/assignment_2.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -39,10 +39,10 @@
" * Open a private window in your browser. Copy and paste the link to your pull request into the address bar. Make sure you can see your pull request properly. This helps the technical facilitator and learning support staff review your submission easily.\n",
"\n",
"Checklist:\n",
"- [ ] Created a branch with the correct naming convention.\n",
"- [ ] Ensured that the repository is public.\n",
"- [ ] Reviewed the PR description guidelines and adhered to them.\n",
"- [ ] Verify that the link is accessible in a private browser window.\n",
"- [Y] Created a branch with the correct naming convention.\n",
"- [Y] Ensured that the repository is public.\n",
"- [Y] Reviewed the PR description guidelines and adhered to them.\n",
"- [Y] Verify that the link is accessible in a private browser window.\n",
"\n",
"If you encounter any difficulties or have questions, please don't hesitate to reach out to our team via our Slack at `#cohort-3-help`. Our Technical Facilitators and Learning Support staff are here to help you navigate any challenges."
]
Expand Down Expand Up @@ -90,16 +90,161 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {
"id": "n0m48JsS-nMC"
},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
"0,1,1,3,1,4,4,1,8,2,2,3,12,12,10,15,13,6,5,5,18,19,9,6,11,12,7,6,3,6,3,2,4,3,1,5,4,2,2,0\n",
"\n",
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"\n",
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"\n",
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"\n",
"0,1,1,1,2,3,5,3,6,3,7,10,3,8,12,4,12,9,15,5,17,16,5,10,10,15,7,5,3,11,5,5,6,1,1,1,1,0,2,1\n",
"\n",
"0,0,2,1,3,3,2,7,4,4,3,8,12,9,12,9,5,16,8,17,7,11,14,7,13,11,7,12,12,7,8,5,7,2,2,4,1,1,1,0\n",
"\n",
"0,0,1,2,4,2,2,3,5,7,10,5,5,12,3,13,4,13,7,15,9,12,18,14,16,12,3,11,3,2,7,4,8,2,2,1,3,0,1,1\n",
"\n",
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"\n",
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"\n",
"0,0,0,1,4,4,6,3,8,6,4,10,12,3,3,6,8,7,17,16,14,15,17,4,14,13,4,4,12,11,6,9,5,5,2,5,2,1,0,1\n",
"\n",
"0,1,1,0,3,2,4,6,8,6,2,3,11,3,14,14,12,8,8,16,13,7,6,9,15,7,6,4,10,8,10,4,2,6,5,5,2,3,2,1\n",
"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
"0,1,1,2,3,1,5,1,2,2,5,7,6,6,5,10,6,7,17,13,15,16,17,14,4,4,10,10,10,11,9,9,5,4,4,2,1,0,1,0\n",
"\n",
"0,1,0,3,2,4,1,1,5,9,10,7,12,10,9,15,12,13,13,6,19,9,10,6,13,5,13,6,7,2,5,5,2,1,1,1,1,3,0,1\n",
"\n",
"0,1,1,3,1,1,5,5,3,7,2,2,3,12,4,6,8,15,16,16,15,4,14,5,13,10,7,10,6,3,2,3,6,3,3,5,4,3,2,1\n",
"\n",
"0,0,0,2,2,1,3,4,5,5,6,5,5,12,13,5,7,5,11,15,18,7,9,10,14,12,11,9,10,3,2,9,6,2,2,5,3,0,0,1\n",
"\n",
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"\n",
"0,1,1,3,4,5,2,1,3,7,9,6,10,5,8,15,11,12,15,6,12,16,6,4,14,3,12,9,6,11,5,8,5,5,6,1,2,1,2,0\n",
"\n",
"0,0,1,3,1,4,3,6,7,8,5,7,11,3,6,11,6,10,6,19,18,14,6,10,7,9,8,5,8,3,10,2,5,1,5,4,2,1,0,1\n",
"\n",
"0,1,1,3,3,4,4,6,3,4,9,9,7,6,8,15,12,15,6,11,6,18,5,14,15,12,9,8,3,6,10,6,8,7,2,5,4,3,1,1\n",
"\n",
"0,1,2,2,4,3,1,4,8,9,5,10,10,3,4,6,7,11,16,6,14,9,11,10,10,7,10,8,8,4,5,8,4,4,5,2,4,1,1,0\n",
"\n",
"0,0,2,3,4,5,4,6,2,9,7,4,9,10,8,11,16,12,15,17,19,10,18,13,15,11,8,4,7,11,6,7,6,5,1,3,1,0,0,0\n",
"\n",
"0,1,1,3,1,4,6,2,8,2,10,3,11,9,13,15,5,15,6,10,10,5,14,15,12,7,4,5,11,4,6,9,5,6,1,1,2,1,2,1\n",
"\n",
"0,0,1,3,2,5,1,2,7,6,6,3,12,9,4,14,4,6,12,9,12,7,11,7,16,8,13,6,7,6,10,7,6,3,1,5,4,3,0,0\n",
"\n",
"0,0,1,2,3,4,5,7,5,4,10,5,12,12,5,4,7,9,18,16,16,10,15,15,10,4,3,7,5,9,4,6,2,4,1,4,2,2,2,1\n",
"\n",
"0,1,2,1,1,3,5,3,6,3,10,10,11,10,13,10,13,6,6,14,5,4,5,5,9,4,12,7,7,4,7,9,3,3,6,3,4,1,2,0\n",
"\n",
"0,1,2,2,3,5,2,4,5,6,8,3,5,4,3,15,15,12,16,7,20,15,12,8,9,6,12,5,8,3,8,5,4,1,3,2,1,3,1,0\n",
"\n",
"0,0,0,2,4,4,5,3,3,3,10,4,4,4,14,11,15,13,10,14,11,17,9,11,11,7,10,12,10,10,10,8,7,5,2,2,4,1,2,1\n",
"\n",
"0,0,2,1,1,4,4,7,2,9,4,10,12,7,6,6,11,12,9,15,15,6,6,13,5,12,9,6,4,7,7,6,5,4,1,4,2,2,2,1\n",
"\n",
"0,1,2,1,1,4,5,4,4,5,9,7,10,3,13,13,8,9,17,16,16,15,12,13,5,12,10,9,11,9,4,5,5,2,2,5,1,0,0,1\n",
"\n",
"0,0,1,3,2,3,6,4,5,7,2,4,11,11,3,8,8,16,5,13,16,5,8,8,6,9,10,10,9,3,3,5,3,5,4,5,3,3,0,1\n",
"\n",
"0,1,1,2,2,5,1,7,4,2,5,5,4,6,6,4,16,11,14,16,14,14,8,17,4,14,13,7,6,3,7,7,5,6,3,4,2,2,1,1\n",
"\n",
"0,1,1,1,4,1,6,4,6,3,6,5,6,4,14,13,13,9,12,19,9,10,15,10,9,10,10,7,5,6,8,6,6,4,3,5,2,1,1,1\n",
"\n",
"0,0,0,1,4,5,6,3,8,7,9,10,8,6,5,12,15,5,10,5,8,13,18,17,14,9,13,4,10,11,10,8,8,6,5,5,2,0,2,0\n",
"\n",
"0,0,1,0,3,2,5,4,8,2,9,3,3,10,12,9,14,11,13,8,6,18,11,9,13,11,8,5,5,2,8,5,3,5,4,1,3,1,1,0\n",
"\n"
]
}
],
"source": [
"# Creating the 'all_paths' list in Python\n",
"all_paths = [\n",
" \"../05_data/assignment_2_data/inflammation_01.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_02.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_03.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_04.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_05.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_06.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_07.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_08.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_09.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_10.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_11.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_12.csv\"\n",
"]\n",
"# reading the file, applying the readlines method to read the content of the file and displaying the contents by row using for loop\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 'contents'\n",
" \n",
" # YOUR CODE HERE: Iterate through 'contents' using a for loop and print each row for inspection"
" contents=f.readlines()\n",
" # YOUR CODE HERE: Iterate through 'contents' using a for loop and print each row for inspection\n",
" for row in contents:\n",
" print(row)"
]
},
{
Expand Down Expand Up @@ -133,7 +278,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"metadata": {
"id": "82-bk4CBB1w4"
},
Expand All @@ -142,20 +287,25 @@
"import numpy as np\n",
"\n",
"def patient_summary(file_path, operation):\n",
" '''\n",
" Given an file path to a csv file with patients' sessions information (each row is data for unique patient and columns record\n",
" inflamatory flare-ups records), and an operation (either mean, max or min), returns an array of means, max or min in which is element\n",
" is the specified operation for each patient's Inflamatory flare-ups data.\n",
" '''\n",
" # load the data from the file\n",
" data = np.loadtxt(fname=file_path, delimiter=',')\n",
" ax = 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",
" if operation == 'mean':\n",
" # YOUR CODE HERE: calculate the mean (average) number of flare-ups for each patient\n",
"\n",
" summary_values=np.mean(data,ax)\n",
" elif operation == 'max':\n",
" # YOUR CODE HERE: calculate the maximum number of flare-ups experienced by each patient\n",
"\n",
" summary_values=np.max(data,ax)\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,ax)\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 @@ -165,11 +315,19 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"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 @@ -232,7 +390,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 4,
"metadata": {
"id": "_svDiRkdIwiT"
},
Expand All @@ -255,7 +413,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {
"id": "LEYPM5v4JT0i"
},
Expand All @@ -264,16 +422,32 @@
"# Define your function `detect_problems` here\n",
"\n",
"def detect_problems(file_path):\n",
" '''\n",
" Given an file path to a csv file with patients' sessions information \n",
" (each row is data for unique patient and columns record inflamatory flare-ups records), \n",
" identifies irregularities in the patient data, specifically focusing on detecting \n",
" patients with a mean inflammation score of 0.\n",
" IMPORTANT: Function uses the patient_summary() and check_zeros() functions so these must\n",
" be defined before using detect_problems()\n",
" '''\n",
" #YOUR CODE HERE: use patient_summary() to get the means and check_zeros() to check for zeros in the means\n",
"\n",
" return"
" means_array=patient_summary(file_path, 'mean')\n",
" return check_zeros(means_array)"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"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 @@ -331,7 +505,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.9.15"
}
},
"nbformat": 4,
Expand Down