熊猫使用条件创建系列

Question

I'm using the titanic dataset and have a created a series Famsize. I'd like to create a second series that outputs 'single' if famsize =1, 'small' if 1 < famsize < 5 and 'large' if famsize >=5.

   Famsize FamsizeDisc
     1         single
     2         small
     5         large

I've tried using np.where but as I have three outputs I haven't been able to find a solution.

Any suggestions?

Answer 1

Its called binning so use pd.cut ie

df['new'] = pd.cut(df['Famsize'],bins=[0,1,4,np.inf],labels=['single','small','large'])

Output:

Famsize FamsizeDisc     new
0        1      single  single
1        2       small   small
2        5       large   large

Answer 2

Either you could create a function which does the mapping:

def get_sizeDisc(x):
    if x == 1:
        return 'single'
    elif x < 5:
        return 'small'
    elif x >= 5:
        return 'large'

df['FamsizeDisc'] = df.Famsize.apply(get_sizeDisc)

Or you could use .loc

df.loc[df.Famsize==1, 'FamsizeDisc'] = 'single'
df.loc[df.Famsize.between(1,5, inclusive = False), 'FamsizeDisc'] = 'small'
df.loc[df.Famsize>=5, 'FamsizeDisc'] = 'large'