将字符串转换为数值

Question

This image shows the dataframe I am working with

I want to do a few things:

1. Convert player_positions to the count of unique values. So T. Barkhuizen, for instance, can play as a RM, RWB or ST and so would have a value of 3
2. Convert work_rate to numerical values, with Low=1, Medium=2 and High=3 and sum the two values. With Barkhuizen as an example again, his work_rate value would be equal to 5 because he has High (3) and Medium (2)
3. If player_traits contains 'Injury Prone', convert to -1, otherwise convert to 1 (or possibly 0?)

Thank you in advance

Answer 1

You can do something like:

df['player_positions'] = df['player_positions'].apply(lambda x: len(set(x)))

For your work rate you could define a function that converts the values and returns the sum (if I understand how your data works, anyway). Example:

def cnvWorkRate(rate):
    rates = rate.split('/')
    vals = {
        'High':3,
        'Medium':2,
        'Low':1
    }
    
    return sum([vals[r] for r in rates])