Additional arguments

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.

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Anleitung zur Übung

Calculate the mean of the input series.
Return the mean and its rank as a list.
Insert the output of rank() into new columns of scores.

Interaktive Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

def rank(series):
    # Calculate the mean of the input series
    mean = ____
    # Return the mean and its rank as a list
    if ____:
        return ____
    if ____:
        return ____
    return ____

# Insert the output of rank() into new columns of scores
cols = ['math score', 'reading score', 'writing score']
scores[['mean', 'rank']] = scores[cols].____
print(scores[['mean', 'rank']].head())

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