So you're on the right track, but just a couple of notes:

• In question 2, you don't have to do f.readlines again. data = np.loadtxt(fname=filepath, delimiter=',') is already loading in the content, so you can just refer to data.

• Somewhat related to that, instead of data_min = patient_summary('../05_data/assignment_2_data/inflammation_01.csv','min') , you can keep the filepath as all_paths[0]. Either way is fine, but just letting you know that all_paths[0] does the same thing (selects the first file), except much shorter.

• For question three, check_zeros(print(len(data_mean))) is incorrect. If you reason through what you're asking it to do at this point step by step, what youre asking is for it to pass the printed length of elements in data_mean through check_zeros. You're not actually passing any means through check_zeros for the function to actually check if there are any zeros. keep printing the length to the last step, this is just a test to see if you have the right amount of means calculated.

• Instead, think about what it is you need detect_problems to do. You already have a function that checks zeros built for you. In your last question, you developed a function that can calculate summary statistics. Think of a way to piece these togethers in detect_problems, which is a function that a) will calculate the summary statistics you want and b) check if there are any zeros within those summary statistics.