Let's use additional arguments in the .apply() method!

Your task is to create two new columns in scores:

mean is the row-wise mean value of the math score, reading score and writing score
rank defines how high the mean score is:
- 'high' if the mean value \(> 90\)
- 'medium' if the mean value \(> 60\) but \(\leq\) 90
- 'low' if the mean value \(\leq 60\)

To accomplish this task, you'll need to define the function rank that, given a series, returns a list with two values: the mean of the series and a string defined by the aforementioned rule.

The module numpy is already imported for you as np.

How to use the .groupby() method on a DataFrame?

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