python - How to assign values based on multiple columns in pandas? -

is there elegant way assign values based on multiple columns in dataframe in pandas? let's have dataframe 2 columns: fruittype , color.

import pandas pd df = pd.dataframe({'fruittype':['apple', 'banana','kiwi','orange','loquat'], 'color':['red_black','yellow','greenish_yellow', 'orangered','orangeyellow']}) 

i assign value of third column, 'isyellowseedless', based on both 'fruittype' , 'color' columns.

i have list of fruits consider seedless, , check color column see if contains str "yellow".

seedless = ['banana', 'loquat'] 

how string elegantly?

this attempt didn't work:

df[(df['fruittype'].isin(seedless)) & (culture_table['color'].str.contains("yellow"))]['isyellowseedless'] = true 

or can try

df['isyellowseedless']=df.loc[df.fruittype.isin(seedless),'color'].str.contains('yellow') df out[546]:               color fruittype isyellowseedless 0        red_black     apple              nan 1           yellow    banana             true 2  greenish_yellow      kiwi              nan 3        orangered    orange              nan 4     orangeyellow    loquat             true