Data Analysis with Python Projects - Mean-Variance-Standard Deviation Calculator

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I made a list, converted it into a 3x3 matrix and calculated the mean as below
mean = [(np.mean(a, axis=0)), (np.mean(a, axis=1)), (np.mean(a))]
When I print mean, the values if they are whole numbers show up as 4. not 4.0 and I’m not sure how to change it.
I am coding on pycharm instead of on jupyter notebook

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Challenge: Data Analysis with Python Projects - Mean-Variance-Standard Deviation Calculator

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Kinda hard without seeing it in action, but doesn’t np.mean return a numpy array where the test is looking for a list?

Sorry for not providing enough information.
Yes currently it is coming out as an array and I am trying to change it to a list but not exactly sure how in the code above to convert it to a list. I’ve tried
mean = mean.tolist() but returns an error

I believe I used toList(), but not from np.mean(arr, ax), I did mine with arr.mean(ax).toList(). Not sure if that makes a difference.

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