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Edited assignment_2 notebook as per instructions #2

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133 changes: 113 additions & 20 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 +76,74 @@
"metadata": {
"id": "n0m48JsS-nMC"
},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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]
}
],
"source": [
"all_paths = [\n",
" \"../../05_src/data/assignment_2_data/inflammation_01.csv\",\n",
Expand All @@ -94,9 +161,11 @@
"]\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"
" lines = f.readlines() # Using readlines() method to read the .csv file into a variable called 'lines'\n",
"\n",
"\n",
"for index, row in enumerate(lines, start=1): # Iterating through 'lines' with a for-loop\n",
" print(f\"Row {index:02d}: {row.strip()}\") # Printing each row with its corresponding row number, formatted to two digits"
]
},
{
Expand Down Expand Up @@ -130,7 +199,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 17,
"metadata": {
"id": "82-bk4CBB1w4"
},
Expand All @@ -139,18 +208,22 @@
"import numpy as np\n",
"\n",
"def patient_summary(file_path, operation):\n",
" '''\n",
" This function calculates summary statistics (mean, max, min) for each patient based on their flare-up data.\n",
" It takes in a file path to a CSV file and an operation string that specifies which statistic to calculate.\n",
" The function returns an array of summary values for each patient.\n",
" '''\n",
" 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",
" # 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) # Calculate the average number of flare-ups for each 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) # Calculate the max number of flare-ups for each patient\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) # Calculate the min number of flare-ups for each patient\n",
"\n",
" else:\n",
" # If the operation is not one of the expected values, raise an error\n",
Expand All @@ -161,11 +234,19 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"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 +309,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 8,
"metadata": {
"id": "_svDiRkdIwiT"
},
Expand All @@ -251,7 +332,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 16,
"metadata": {
"id": "LEYPM5v4JT0i"
},
Expand All @@ -260,16 +341,27 @@
"# 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"
" '''\n",
" Detects problems in patient data by checking for zero values in the mean summary.\n",
" If result is TRUE, there is at least one patient with a mean of 0 flare-ups, indicating a potential data issue.\n",
" If result is FALSE, all patients have mean flare-ups greater than 0.\n",
" '''\n",
" return check_zeros(patient_summary(file_path, 'mean')) # Getting the means and using check_zeros() to check for zeros in the means\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 15,
"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 +406,8 @@
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"display_name": "python-env",
"language": "python",
"name": "python3"
},
"language_info": {
Expand All @@ -327,7 +420,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.11.14"
}
},
"nbformat": 4,
Expand Down
1 change: 1 addition & 0 deletions python
Open in desktop
Submodule python added at d34ca7