Function参数

Question

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I have problems with the following code

df = pd.read_csv('Fifa20.csv')    
selector = df[['Name', 'Overall', 'Skill', 'Dribbling', 'Curve']]

def get_player(player):
    selector.loc[selector['Name'] == player]

    return selector[['Overall', 'Skill', 'Dribbling', 'Curve']].sum(axis=1) / len(selector.columns)

I was working a bit with the fifa20 dataset from kaggle, and wanted to make a dynamic function, which take the players name and then give me a number based on their skillset. I cannot figure out how to connect the two parts in my functions, so if I call my function with "Lionel Messi" it will return the calculated number.

Could you guide me or give me a hint, to how I should think and connect the two? At this moment, I think I am overthinking it quite a bit.

Thank you!

Answer 1

You need to include the dataframe as well as a function parameter. This should work fine-

df = pd.read_csv('Fifa20.csv')    
selector = df[['Name', 'Overall', 'Skill', 'Dribbling', 'Curve']]
player = 'Lionel Messi'

def get_player(player, selector):
    # Subsets selector to contain specific player's information
    selector = selector.loc[selector['Name'] == player]
    return selector[['Overall', 'Skill', 'Dribbling', 'Curve']].sum(axis=1) / len(selector.columns)

This function takes the player name and dataframe as input and returns the desired value.

Answer 2

Try this:

Assuming you have loaded your dataset in selector dataframe. Then,

1. Select that row with the player name.

2. Apply sum on the skills feature and divide it by count of skills

   def get_player(player): global selector player_row = selector.loc[selector['Name'] == player] return player_row[['Overall', 'Skill', 'Dribbling', 'Curve']].sum(axis=1) / len(player_row.columns)