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Assignment 2 for approval #2

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Assignment 2 for approval #2

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76 changes: 56 additions & 20 deletions 02_activities/assignments/assignment_2.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -79,24 +79,33 @@
"outputs": [],
"source": [
"all_paths = [\n",
" \"../../05_src/data/assignment_2_data/inflammation_01.csv\",\n",
" \"../../05_src/data/assignment_2_data/inflammation_02.csv\",\n",
" \"../../05_src/data/assignment_2_data/inflammation_03.csv\",\n",
" \"../../05_src/data/assignment_2_data/inflammation_04.csv\",\n",
" \"../../05_src/data/assignment_2_data/inflammation_05.csv\",\n",
" \"../../05_src/data/assignment_2_data/inflammation_06.csv\",\n",
" \"../../05_src/data/assignment_2_data/inflammation_07.csv\",\n",
" \"../../05_src/data/assignment_2_data/inflammation_08.csv\",\n",
" \"../../05_src/data/assignment_2_data/inflammation_09.csv\",\n",
" \"../../05_src/data/assignment_2_data/inflammation_10.csv\",\n",
" \"../../05_src/data/assignment_2_data/inflammation_11.csv\",\n",
" \"../../05_src/data/assignment_2_data/inflammation_12.csv\"\n",
" \"C:/Users/lungy/Desktop/python/05_src/data/assignment_2_data/inflammation_01.csv\",\n",
" \"C:/Users/lungy/Desktop/python/05_src/data/assignment_2_data/inflammation_02.csv\",\n",
" \"C:/Users/lungy/Desktop/python/05_src/data/assignment_2_data/inflammation_03.csv\",\n",
" \"C:/Users/lungy/Desktop/python/05_src/data/assignment_2_data/inflammation_04.csv\",\n",
" \"C:/Users/lungy/Desktop/python/05_src/data/assignment_2_data/inflammation_05.csv\",\n",
" \"C:/Users/lungy/Desktop/python/05_src/data/assignment_2_data/inflammation_06.csv\",\n",
" \"C:/Users/lungy/Desktop/python/05_src/data/assignment_2_data/inflammation_07.csv\",\n",
" \"C:/Users/lungy/Desktop/python/05_src/data/assignment_2_data/inflammation_08.csv\",\n",
" \"C:/Users/lungy/Desktop/python/05_src/data/assignment_2_data/inflammation_09.csv\",\n",
" \"C:/Users/lungy/Desktop/python/05_src/data/assignment_2_data/inflammation_10.csv\",\n",
" \"C:/Users/lungy/Desktop/python/05_src/data/assignment_2_data/inflammation_11.csv\",\n",
" \"C:/Users/lungy/Desktop/python/05_src/data/assignment_2_data/inflammation_12.csv\"\n",
"]\n",
"\n",
"with open(all_paths[0], 'r') as f:\n",
"\n",
" # YOUR CODE HERE: Use the readline() or readlines() method to read the .csv file into a variable\n",
" # READ THE .CSV FILES USING READLINES()\n",
"\n",
" #Read the first data filel and assigne a name called 'patients'\n",
" patients = f.readlines()\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",
"\n",
" # Print out the first data file by rows \n",
"for patient in patients:\n",
" print (patient.strip())\n"
]
},
{
Expand Down Expand Up @@ -142,15 +151,20 @@
" 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",
"# Define each operational function: mean, max, min\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 = 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",
"\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 = 1)\n",
"\n",
" else:\n",
" # If the operation is not one of the expected values, raise an error\n",
Expand All @@ -161,11 +175,19 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 23,
"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 +250,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 24,
"metadata": {
"id": "_svDiRkdIwiT"
},
Expand Down Expand Up @@ -261,18 +283,31 @@
"\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",
" # Integrate patient_summary function into the check_zeros function\n",
" result=check_zeros(patient_summary(file_path, 'mean'))\n",
"\n",
" return"
" return result"
]
},
{
"cell_type": "code",
"execution_count": null,
"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",
"\n",
"# Print out the results from the detect_problem\n",
"print(detect_problems(all_paths[0]))"
]
},
Expand Down Expand Up @@ -314,7 +349,8 @@
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"display_name": "python-env",
"language": "python",
"name": "python3"
},
"language_info": {
Expand All @@ -327,7 +363,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.11.13"
}
},
"nbformat": 4,
Expand Down