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Assignment 2 #2

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6b0b149
complete
SilviaMargarian Mar 12, 2026
29ce758
Assignment2 complete
SilviaMargarian Mar 19, 2026
8386a77
Assignment2 actually complete
SilviaMargarian Mar 19, 2026
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4 changes: 2 additions & 2 deletions 02_activities/assignments/assignment_1.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -56,7 +56,7 @@
},
{
"cell_type": "code",
"execution_count": 23,
"execution_count": null,
"metadata": {},
"outputs": [
{
Expand All @@ -73,7 +73,7 @@
"source": [
"# For testing purposes, we will write our code in the function\n",
"def anagram_checker(word_a, word_b):\n",
" if sorted(word_a.lower()) == sorted(word_b.lower()): #First change all characters in both strings to lower case by using .lower() function and then sort the characters in alphabetical order with sorted() function. Check if the strings are the same.\n",
" if sorted(word_a.lower()) == sorted(word_b.lower()): # First change all characters in both strings to lower case by using .lower() function and then sort the characters in alphabetical order with sorted() function. Check if the strings are the same.\n",
" return True # If the strings are the same, then return True.\n",
" else:\n",
" return False # Otherwise, return False.\n",
Expand Down
194 changes: 171 additions & 23 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 +76,134 @@
"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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"0,0,1,1,1,5,1,5,2,2,4,10,4,8,14,6,15,6,12,15,15,13,7,17,4,5,11,4,8,7,9,4,5,3,2,5,4,3,2,1\n",
"\n",
"0,0,2,2,3,4,6,3,7,6,4,5,8,4,7,7,6,11,12,19,20,18,9,5,4,7,14,8,4,3,7,7,8,3,5,4,1,3,1,0\n",
"\n",
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"\n",
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"\n",
"0,1,2,2,2,3,6,6,6,7,6,3,11,12,13,15,15,10,14,11,11,8,6,12,10,5,12,7,7,11,5,8,5,2,5,5,2,0,2,1\n",
"\n",
"0,0,2,1,3,5,6,7,5,8,9,3,12,10,12,4,12,9,13,10,10,6,10,11,4,15,13,7,3,4,2,9,7,2,4,2,1,2,1,1\n",
"\n",
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"\n",
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"\n",
"0,1,2,2,2,5,5,1,4,6,3,6,5,9,6,7,4,7,16,7,16,13,9,16,12,6,7,9,10,3,6,4,5,4,6,3,4,3,2,1\n",
"\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",
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"\n",
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"\n",
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"\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",
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"\n",
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"\n",
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"\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",
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"\n",
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"\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",
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"\n",
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"\n",
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"\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",
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"\n"
]
}
],
"source": [
"all_paths = [\n",
" \"../../05_src/data/assignment_2_data/inflammation_01.csv\",\n",
Expand All @@ -94,9 +221,9 @@
"]\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"
" file = f.readlines() # Read the first file and assign it to a variable name \"file\".\n",
" for i in file: # Iterate through the file.\n",
" print(i) # Print each row."
]
},
{
Expand Down Expand Up @@ -136,36 +263,45 @@
},
"outputs": [],
"source": [
"\n",
"import numpy as np\n",
"\n",
"def patient_summary(file_path, operation):\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",
" 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 = data.mean(ax) # Calculate the mean in each row that represents a patient and assign it to summary_values.\n",
"\n",
" elif operation == 'max':\n",
" # YOUR CODE HERE: Calculate the maximum number of flare-ups experienced by each patient\n",
" summary_values = data.max(ax) # Calculate the max in each row and assign to summary_values.\n",
"\n",
" elif operation == 'min':\n",
" # YOUR CODE HERE: Calculate the minimum number of flare-ups experienced by each patient\n",
" summary_values = data.min(ax) # Calculate the min in each row and assign to summary_values.\n",
"\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"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 31,
"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 @@ -234,17 +370,17 @@
},
"outputs": [],
"source": [
"# Run this cell so you can use this helper function\n",
"# Run this cell so you can use this helper function.\n",
"\n",
"def check_zeros(x):\n",
" '''\n",
" Given an array, x, check whether any values in x equal 0.\n",
" Return True if any values found, else returns False.\n",
" '''\n",
" # np.where() checks every value in x against the condition (x == 0) and returns a tuple of indices where it was True (i.e. x was 0)\n",
" # np.where() checks every value in x against the condition (x == 0) and returns a tuple of indices where it was True (i.e. x was 0).\n",
" flag = np.where(x == 0)[0]\n",
"\n",
" # Checks if there are any objects in flag (i.e. not empty)\n",
" # Checks if there are any objects in flag (i.e. not empty).\n",
" # If not empty, it found at least one zero so flag is True, and vice-versa.\n",
" return len(flag) > 0"
]
Expand All @@ -257,19 +393,30 @@
},
"outputs": [],
"source": [
"# Define your function `detect_problems` here\n",
"# 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"
" x = patient_summary(file_path, 'mean') # Get the means using patient_summary() function and assign it to x, which will be passed as an argument in check_zeros() function. \n",
" if check_zeros(x): # Using the means (x), check for zeros. \n",
" return True # If there is a zero, return True. \n",
" \n",
" \n",
" return False # Otherwise, return False."
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 42,
"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 +461,8 @@
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"display_name": "python-env (3.11.1)",
"language": "python",
"name": "python3"
},
"language_info": {
Expand All @@ -327,7 +475,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.11.1"
}
},
"nbformat": 4,
Expand Down
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