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Initial submission of assignment 2 #2

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198 changes: 174 additions & 24 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 +72,138 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 82,
"metadata": {
"id": "n0m48JsS-nMC"
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"outputs": [],
"outputs": [
{
"name": "stdout",
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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"
]
}
],
"source": [
"all_paths = [\n",
" \"../../05_src/data/assignment_2_data/inflammation_01.csv\",\n",
Expand All @@ -94,9 +221,12 @@
"]\n",
"\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"
" # Use readlines() to read the .csv file into a variable\n",
" contents = (f.readlines())\n",
" # Iterate through the variable using a for loop and print each row for inspection\n",
" for row in contents:\n",
" print(row)\n",
" "
]
},
{
Expand Down Expand Up @@ -130,7 +260,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 74,
"metadata": {
"id": "82-bk4CBB1w4"
},
Expand All @@ -142,18 +272,21 @@
" data = np.loadtxt(fname=file_path, delimiter=',') # Load the data from the file\n",
" ax = 1 # This specifies that the operation should be done for each row (patient)\n",
"\n",
" #turn data into numpy array\n",
" arr1 = np.array(data)\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",
" #Calculate the mean (average) number of flare-ups for each patient\n",
" summary_values = arr1.mean(axis=1)\n",
" elif operation == 'max':\n",
" # YOUR CODE HERE: Calculate the maximum number of flare-ups experienced by each patient\n",
"\n",
" #Calculate the maximum number of flare-ups experienced by each patient\n",
" summary_values = arr1.max(axis=1)\n",
" elif operation == 'min':\n",
" # YOUR CODE HERE: Calculate the minimum number of flare-ups experienced by each patient\n",
"\n",
" #Calculate the minimum number of flare-ups experienced by each patient\n",
" summary_values = arr1.min(axis=1)\n",
" else:\n",
" # If the operation is not one of the expected values, raise an error\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",
"\n",
" return summary_values"
Expand All @@ -165,10 +298,17 @@
"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",
"# Test it out on the data file we read in and make sure the size is what we expect\n",
"data_min = patient_summary(all_paths[0], 'min')\n",
"print(len(data_min))"
]
Expand Down Expand Up @@ -234,7 +374,7 @@
},
"outputs": [],
"source": [
"# Run this cell so you can use this helper function\n",
"# Define function to check for patients in dataset with mean inflammation score of 0\n",
"\n",
"def check_zeros(x):\n",
" '''\n",
Expand All @@ -257,19 +397,28 @@
},
"outputs": [],
"source": [
"# Define your function `detect_problems` here\n",
"# Defines function `detect_problems` which calls check_zeros for a given filepath\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",
" #Use patient_summary() to get the means and check_zeros() to check for zeros in the means\n",
" data_mean = patient_summary(file_path, 'mean')\n",
"\n",
" return"
" return check_zeros(data_mean)"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 79,
"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 +463,8 @@
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"display_name": "python-env",
"language": "python",
"name": "python3"
},
"language_info": {
Expand All @@ -327,7 +477,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.11.15"
}
},
"nbformat": 4,
Expand Down