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200 changes: 182 additions & 18 deletions 02_assignments/assignment_2.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -90,16 +90,160 @@
},
{
"cell_type": "code",
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"execution_count": 4,
"metadata": {
"id": "n0m48JsS-nMC"
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{
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"\n"
]
}
],
"source": [
"all_paths = [\n",
" \"../05_data/assignment_2_data/inflammation_01.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_02.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_03.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_04.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_05.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_06.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_07.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_08.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_09.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_10.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_11.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_12.csv\",\n",
"] # we define all_paths first\n",
"with open(all_paths[0], 'r') as f:\n",
" # YOUR CODE HERE: Use the readline() method to read the .csv file into 'contents'\n",
" \n",
" # YOUR CODE HERE: Iterate through 'contents' using a for loop and print each row for inspection"
" contents = f.readlines()\n",
"\n",
" # YOUR CODE HERE: Iterate through 'contents' using a for loop and print each row for inspection\n",
" for row in contents:\n",
" print(row)"
]
},
{
Expand Down Expand Up @@ -133,7 +277,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {
"id": "82-bk4CBB1w4"
},
Expand All @@ -149,13 +293,13 @@
" # 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",
" summary_values = np.mean(data,ax)\n",
" elif operation == 'max':\n",
" # YOUR CODE HERE: calculate the maximum number of flare-ups experienced by each patient\n",
"\n",
" summary_values = np.max(data,ax)\n",
" elif operation == 'min':\n",
" # YOUR CODE HERE: calculate the minimum number of flare-ups experienced by each patient\n",
"\n",
" summary_values = np.min(data,ax)\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",
Expand All @@ -165,11 +309,19 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"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 @@ -232,7 +384,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"metadata": {
"id": "_svDiRkdIwiT"
},
Expand All @@ -255,7 +407,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 8,
"metadata": {
"id": "LEYPM5v4JT0i"
},
Expand All @@ -264,19 +416,31 @@
"# 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"
" #YOUR CODE HERE: use patient_summary() to get the means and check_zeros() to check for zeros in the means\n",
" means = patient_summary(file_path, 'mean')\n",
" zeros = check_zeros(means)\n",
" \n",
" return zeros\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 9,
"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 True\n",
"\n",
"print(detect_problems(all_paths[0]))"
]
},
Expand Down Expand Up @@ -331,7 +495,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.9.15"
}
},
"nbformat": 4,
Expand Down