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I answered the questions and updated the assignment_2.ipynb file #2

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2 changes: 1 addition & 1 deletion 02_assignments/assignment_1.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -144,7 +144,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.9.19"
}
},
"nbformat": 4,
Expand Down
154 changes: 138 additions & 16 deletions 02_assignments/assignment_2.ipynb
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -75,6 +75,35 @@
"```"
]
},
{
"cell_type": "code",
"execution_count": 134,
"metadata": {},
"outputs": [],
"source": [
"import csv"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"all_paths = [ \"../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"
]
},
{
"cell_type": "markdown",
"metadata": {
Expand All @@ -90,16 +119,90 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 167,
"metadata": {
"id": "n0m48JsS-nMC"
},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
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"53 ['0', '0', '2', '1', '1', '4', '4', '7', '2', '9', '4', '10', '12', '7', '6', '6', '11', '12', '9', '15', '15', '6', '6', '13', '5', '12', '9', '6', '4', '7', '7', '6', '5', '4', '1', '4', '2', '2', '2', '1']\n",
"54 ['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",
"55 ['0', '0', '1', '3', '2', '3', '6', '4', '5', '7', '2', '4', '11', '11', '3', '8', '8', '16', '5', '13', '16', '5', '8', '8', '6', '9', '10', '10', '9', '3', '3', '5', '3', '5', '4', '5', '3', '3', '0', '1']\n",
"56 ['0', '1', '1', '2', '2', '5', '1', '7', '4', '2', '5', '5', '4', '6', '6', '4', '16', '11', '14', '16', '14', '14', '8', '17', '4', '14', '13', '7', '6', '3', '7', '7', '5', '6', '3', '4', '2', '2', '1', '1']\n",
"57 ['0', '1', '1', '1', '4', '1', '6', '4', '6', '3', '6', '5', '6', '4', '14', '13', '13', '9', '12', '19', '9', '10', '15', '10', '9', '10', '10', '7', '5', '6', '8', '6', '6', '4', '3', '5', '2', '1', '1', '1']\n",
"58 ['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",
"59 ['0', '0', '1', '0', '3', '2', '5', '4', '8', '2', '9', '3', '3', '10', '12', '9', '14', '11', '13', '8', '6', '18', '11', '9', '13', '11', '8', '5', '5', '2', '8', '5', '3', '5', '4', '1', '3', '1', '1', '0']\n"
]
}
],
"source": [
"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"
" reader = csv.reader(f)\n",
" contents = list(reader)\n",
" print(contents[0])\n",
" \n",
" \n",
" # YOUR CODE HERE: Iterate through 'contents' using a for loop and print each row for inspection\n",
"for idx, row in enumerate(contents):\n",
" print(idx, row)"
]
},
{
Expand Down Expand Up @@ -133,13 +236,13 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 199,
"metadata": {
"id": "82-bk4CBB1w4"
},
"outputs": [],
"source": [
"import numpy as np\n",
"import numpy as np \n",
"\n",
"def patient_summary(file_path, operation):\n",
" # load the data from the file\n",
Expand All @@ -149,13 +252,15 @@
" # 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 = np.mean(data, axis=1)\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=1)\n",
"\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, axis=1)\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 +270,19 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 182,
"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 +345,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 198,
"metadata": {
"id": "_svDiRkdIwiT"
},
Expand All @@ -255,7 +368,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 203,
"metadata": {
"id": "LEYPM5v4JT0i"
},
Expand All @@ -265,18 +378,27 @@
"\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_inflammations = patient_summary(file_path, 'mean')\n",
"\n",
" return"
" return check_zeros(mean_inflammations)"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 204,
"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",
"# Your output for the first file should be False\n",
"print(detect_problems(all_paths[0]))"
]
},
Expand Down Expand Up @@ -331,7 +453,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.9.19"
}
},
"nbformat": 4,
Expand Down