UofT-DSI | Python - Assignment 2

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

I have added python scripts, using numpy to open and read patient data files. I have also created functions to compute summary statistics for these data files and to detect data anomalies.

What did you learn from the changes you have made?

I have learned to open and read data files with numpy. I have also learned how to use numpy scripts to compute max, min and mean values for patient data contained in .csv files.

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

I did not consider other approaches because the assignment hints directed me towards numpy.

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

The earliest iteration of the patient_summary function returned strange float values starting with "np.float64". I realized that this came about because I did not specify a row-wise operation. Given that ax=1 (provided by assignment), I resolved the issue by setting axes = ax

How were these changes tested?

I manually checked question 1 of the assignment by comparing the output against the data file. I checked question 2 by calling the function using different parameters. I checked question 3 by manually identifying files with and without data anomalies (zeroes) and checking the result of the function.

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

Checklist

• I can confirm that my changes are working as intended