根据特定条件指定新列

你可以使用 cut

pd.cut(df.Points,bins=[0,20,80,150,999],labels=['very low','low','medium','High'])
Out[64]: 
0    very low
1    very low
2         low
3         low
4      medium
5      medium
6        High
Name: Points, dtype: category
#df['new']=pd.cut(df.Points,bins=[0,20,80,150,999],labels=['very low','low','medium','High'])

np.select

import numpy as np

conds = [df.Points < 20, df.Points < 80, df.Points <=150]

choices = ['very low', 'low', 'medium']

df['new'] = np.select(conds, choices, default = 'high')

>>> df
   Points       new
0      10  very low
1       8  very low
2      25       low
3      40       low
4      90    medium
5     150    medium
6     350      high

numpy ,您可以使用 pd.np

df['new'] = pd.np.select(conds, choices, default = 'high')