FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be depreca

FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.
  temp_data = data[data['Sex'] == 'F'].groupby(['Sport'])['Age', 'Height', 'Weight'].mean().reset_index().dropna(

  explain ：FutureWarning: Index multiple keys ( Tuples implicitly converted to keys ) Will be abandoned , Use a list instead of .

The initial code ：

temp_data = data[data['Sex'] == 'F'].groupby(['Sport'])['Age', 'Height', 'Weight'].mean().reset_index().dropna(
    how='any')

solve ：

temp_data = data[data['Sex'] == 'F'].groupby(['Sport'])[['Age', 'Height', 'Weight']].mean().reset_index().dropna(
    how='any')

  Solutions ：

hold

['Age', 'Height', 'Weight']

Change to

  [['Age', 'Height', 'Weight']]

This warning is on pandas 1.0.0 Introduction in .groupby Method is followed by double brackets , Single brackets are used to output Pandas series , Double brackets are used for output Pandas DataFrame.