10000 Assignment 2 by Surbhim21 · Pull Request #210 · UofT-DSI/python · GitHub
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Assignment 2 #210

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62c6653
Completed Anagram Checker Assignment 1
May 3, 2025
c6bc49b
Merge pull request #1 from Surbhim21/assignment-1
Surbhim21 May 3, 2025
c2358c4
Revert "Completed Anagram Checker Assignment 1"
Surbhim21 May 9, 2025
1affc85
Merge pull request #2 from Surbhim21/revert-1-assignment-1
Surbhim21 May 9, 2025
b401f07
Completed assignment
May 10, 2025
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235 changes: 210 additions & 25 deletions 02_activities/assignments/assignment_2.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -72,31 +72,161 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 17,
"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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"\n",
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"\n",
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"\n",
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"\n",
"\n"
]
}
],
"source": [
"all_paths = [\n",
" \"python/05_src/data/assignment_2_data/inflammation_01.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_02.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_03.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_04.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_05.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_06.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_07.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_08.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_09.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_10.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_11.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_12.csv\"\n",
" r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_01.csv\",\n",
" r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_02.csv\",\n",
" r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_03.csv\",\n",
" r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_04.csv\",\n",
" r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_05.csv\",\n",
" r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_06.csv\",\n",
" r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_07.csv\",\n",
" r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_08.csv\",\n",
" r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_09.csv\",\n",
" r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_10.csv\",\n",
" r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_11.csv\",\n",
" r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_12.csv\"\n",
"]\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"
" print(f.readline())\n",
" # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection\n",
" for i in range(60):\n",
" print(f.readline())\n"
]
},
{
Expand Down Expand Up @@ -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 = np.mean (data, axis = ax)\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)\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)\n",
"\n",
" else:\n",
" # If the operation is not one of the expected values, raise an error\n",
Expand All @@ -161,11 +294,19 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 41,
"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 +369,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 42,
"metadata": {
"id": "_svDiRkdIwiT"
},
Expand All @@ -251,7 +392,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 85,
"metadata": {
"id": "LEYPM5v4JT0i"
},
Expand All @@ -261,15 +402,24 @@
"\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",
" data_mean = patient_summary(file_path, 'mean')\n",
"\n",
" return"
" return check_zeros(data_mean)"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 84,
"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 @@ -307,14 +457,49 @@
"### Data Sources\n",
"- Software Carpentry. _Python Novice Inflammation Data_. http://swcarpentry.github.io/python-novice-inflammation/data/python-novice-inflammation-data.zip\n"
]
},
{
"cell_type": "code",
"execution_count": 83,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_01.csv → Problem Detected: False\n",
"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_02.csv → Problem Detected: False\n",
"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_03.csv → Problem Detected: True\n",
"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_04.csv → Problem Detected: False\n",
"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_05.csv → Problem Detected: False\n",
"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_06.csv → Problem Detected: False\n",
"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_07.csv → Problem Detected: False\n",
"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_08.csv → Problem Detected: True\n",
"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_09.csv → Problem Detected: False\n",
"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_10.csv → Problem Detected: False\n",
"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_11.csv → Problem Detected: True\n",
"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_12.csv → Problem Detected: False\n"
]
}
],
"source": [
"for path in all_paths:\n",
" print(f\"{path} → Problem Detected: {detect_problems(path)}\")\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
}
],
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"display_name": "dsi_participant",
"language": "python",
"name": "python3"
},
"language_info": {
Expand All @@ -327,7 +512,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.9.15"
}
},
"nbformat": 4,
Expand Down
0