
如何将 color 列添加到以下数据帧,以便 color='green' 如果 set == 'z',否则 color='red' ?
Type Set 1 A Z 2 B Z 3 B X 4 C Y
正确答案
如果您只有两个选择,请使用 np.where:
df['color'] = np.where(df['set']=='z', 'green', 'red')
例如,
import pandas as pd
import numpy as np
df = pd.dataframe({'type':list('abbc'), 'set':list('zzxy')})
df['color'] = np.where(df['set']=='z', 'green', 'red')
print(df)
产量
set type color 0 z a green 1 z b green 2 x b red 3 y c red
如果您有两个以上的条件,请使用 np.select。例如,如果您希望 color 为
-
yellow当(df['set'] == 'z') & (df['type'] == 'a') - 否则
blue当(df['set'] == 'z') & (df['type'] == 'b') - 否则
purple当(df['type'] == 'b') - 否则
black,
然后使用
df = pd.dataframe({'type':list('abbc'), 'set':list('zzxy')})
conditions = [
(df['set'] == 'z') & (df['type'] == 'a'),
(df['set'] == 'z') & (df['type'] == 'b'),
(df['type'] == 'b')]
choices = ['yellow', 'blue', 'purple']
df['color'] = np.select(conditions, choices, default='black')
print(df)
产生
Set Type color 0 Z A yellow 1 Z B blue 2 X B purple 3 Y C black










