UofT-DSI | python - Assignment 2

[akorade]

Added code to read and print data from the first inflammation file with error handling for missing files. Implemented the patient_summary function to compute mean, max, and min using numpy, and updated detect_problems to warn if any patient has a mean inflammation of 0. Updated notebook metadata to reflect the current Python environment.

What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

I implemented three main functions for analyzing arthritis drug efficacy data:

• Question 1: Read and display CSV file contents using file handling (readlines())
• Question 2: Created patient_summary() function to calculate mean, max, or min inflammation statistics for 60 patients across 40 days using NumPy
• Question 3: Developed detect_problems() function to identify data irregularities by detecting patients with mean inflammation scores of 0

What did you learn from the changes you have made?

• How to use Python's file handling with open(), with statements, and readlines() method
• How to leverage NumPy for efficient array operations (np.loadtxt(), np.mean(), np.max(), np.min())
• The importance of specifying the correct axis (axis=1) when performing operations on 2D arrays to operate row-wise (per patient)
• How to chain functions together (patient_summary() → check_zeros()) to build more complex data validation logic
• Error handling with try-except blocks for robust file operations

Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?

For Question 1, I could have used the csv module instead of readlines():

Were there any challenges? If so, what issue(s) did you face? How did you overcome it?

NA

How were these changes tested?

I tested all changes locally using Jupyter Notebook in Visual Studio Code

A reference to a related issue in your repository (if applicable)

NA

Checklist

• I can confirm that my changes are working as intended

[efantinatti]

Hi @akorade Q1 is OK. Q2 you may consider running max and mean. Q3 you may also consider testing all the files and see which of them you get the True values.

Best,
E. Fantinatti

[akorade]

Quote reply

@efantinatti Added the test scenarios

[efantinatti]

Hi @akorade I can't see the aforementioned changes in this commit 42ba07d

@efantinatti

[akorade]

@efantinatti Could you please reconfirm?

[efantinatti]

Thanks @akorade I can see your changes now. All good. You can merge it to main.

Best
@efantinatti