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Python - Assignment 2 #2

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ac263d5
added code to complete functions detect_problems() and patient_summary()
mchlleliu Mar 16, 2026
dd509c0
added output for code chunks
mchlleliu Mar 16, 2026
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202 changes: 189 additions & 13 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 @@
},
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"metadata": {
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"\n"
]
}
],
"source": [
"all_paths = [\n",
" \"../../05_src/data/assignment_2_data/inflammation_01.csv\",\n",
Expand All @@ -93,10 +220,13 @@
" \"../../05_src/data/assignment_2_data/inflammation_12.csv\"\n",
"]\n",
"\n",
"with open(all_paths[0], 'r') as f:\n",
"with open(all_paths[0], 'r') as f: # open the file at index 0 of all_paths\n",
" # YOUR CODE HERE: Use the readline() or readlines() method to read the .csv file into a variable\n",
" file_01 = f.readlines() # store the contents of the first .csv file into the variable file_01\n",
" \n",
" # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection"
" # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection\n",
" for row in file_01: # iterate over the rows\n",
" print(row) # print each row\n"
]
},
{
Expand Down Expand Up @@ -130,7 +260,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 28,
"metadata": {
"id": "82-bk4CBB1w4"
},
Expand All @@ -145,12 +275,15 @@
" # 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(axis=ax) # call .mean() function and store array in the return object\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(axis=ax) # call .max() function and store array in the return object\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(axis=ax) # call .min() function and store array in the return object\n",
"\n",
" else:\n",
" # If the operation is not one of the expected values, raise an error\n",
Expand All @@ -161,16 +294,27 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 29,
"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",
"data_min = patient_summary(all_paths[0], 'min')\n",
"print(len(data_min))"
"print(len(data_min))\n",
"\n",
"# (ran only to test the ValueError message)\n",
"# data_min = patient_summary(all_paths[0], 'median')\n"
]
},
{
Expand Down Expand Up @@ -228,7 +372,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 30,
"metadata": {
"id": "_svDiRkdIwiT"
},
Expand All @@ -251,7 +395,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 31,
"metadata": {
"id": "LEYPM5v4JT0i"
},
Expand All @@ -261,21 +405,53 @@
"\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",
" mean_inflammation = patient_summary(file_path, 'mean') # calculate the mean inflammation score for each patient\n",
"\n",
" return"
" return check_zeros(mean_inflammation) # return the boolean from running check_zeros using the array of patient means\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 32,
"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",
"print(detect_problems(all_paths[0]))"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ERROR: ../../05_src/data/assignment_2_data/inflammation_03.csv at least one patient exists with mean inflammation score of 0\n",
"ERROR: ../../05_src/data/assignment_2_data/inflammation_08.csv at least one patient exists with mean inflammation score of 0\n",
"ERROR: ../../05_src/data/assignment_2_data/inflammation_11.csv at least one patient exists with mean inflammation score of 0\n"
]
}
],
"source": [
"# Continue checking for all files listed in all_paths\n",
"for file in all_paths: # iterate over files in all_paths\n",
" if (detect_problems(file)): # print error message and name of file if a problem is detected\n",
" print(f'ERROR: {file} at least one patient exists with mean inflammation score of 0')\n",
" \n"
]
},
{
"cell_type": "markdown",
"metadata": {
Expand Down