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130 changes: 120 additions & 10 deletions 02_activities/assignments/assignment_2.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -76,7 +76,81 @@
"metadata": {
"id": "n0m48JsS-nMC"
},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
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"[[0. 0. 1. ... 3. 0. 0.]\n",
" [0. 1. 2. ... 1. 0. 1.]\n",
" [0. 1. 1. ... 2. 1. 1.]\n",
" ...\n",
" [0. 1. 1. ... 1. 1. 1.]\n",
" [0. 0. 0. ... 0. 2. 0.]\n",
" [0. 0. 1. ... 1. 1. 0.]]\n"
]
}
],
"source": [
"all_paths = [\n",
" \"../../05_src/data/assignment_2_data/inflammation_01.csv\",\n",
Expand All @@ -94,9 +168,21 @@
"]\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"
" #Read all lines of the file.\n",
" lines = f.readlines()\n",
"\n",
" # Loop through each line and print it.\n",
" for line in lines:\n",
" print(line.strip())\n",
"\n",
" # Fisrt import Numpy and then use the loadtxt() function to read the .csv file into a variable called data\n",
" import numpy as np\n",
"\n",
" data = np.loadtxt(all_paths[0], delimiter=',')\n",
"print(data)\n",
"\n",
"\n"
]
},
{
Expand Down Expand Up @@ -145,18 +231,21 @@
" # 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)\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)\n",
"\n",
" elif operation == 'min':\n",
" # YOUR CODE HERE: Calculate the minimum number of flare-ups experienced by each patient\n",
" summary_values = np.min(data, axis=ax)\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",
"\n",
" return summary_values"
" \n",
" return summary_values\n"
]
},
{
Expand All @@ -165,7 +254,15 @@
"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 @@ -260,16 +357,29 @@
"# 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",
" # Step 1: Get mean inflammation for each patient\n",
" mean_values = patient_summary(file_path, 'mean')\n",
"\n",
" return"
" # Step 2: Check if any mean values are zero\n",
" has_zeros = check_zeros(mean_values)\n",
"\n",
" # Step 3: Return True if problem exists, else False\n",
" return has_zeros\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"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 @@ -327,7 +437,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.14.4"
}
},
"nbformat": 4,
Expand Down
1 change: 1 addition & 0 deletions python
Submodule python added at 9da828