Fill DataFrame Column depends on condition

Aragorn64 0
Viewed 19

I have the following DataFrame:

Fruit Color
Apple
Orange
Pear
Peach

How can I fill the second column that depends on the 'Fruit' column value?

For instance, if the fruit is 'Apple', then the second column should be 'Red', if the fruit is Orange, then the color should be 'Orange' and so on.

I have tried to use If statment, but it doesnt work.

import pandas as pd

d = {'Fruit': ['Apple', 'Orange', 'Pear', 'Peach'], 'Color': ['','','','']}
df = pd.DataFrame(data=d)
df
pandas numpy python
3 Answers
(pd.DataFrame()
 .assign(fruit=['Apple', 'Orange', 'Pear', 'Peach'])
 .assign(color=lambda x: np.select([x.fruit == 'Apple',
                                    x.fruit == 'Orange',
                                    x.fruit == 'Pear',
                                    x.fruit == 'Peach'],
                                   ['Green',
                                    'Orange',
                                    'Dark green',
                                    'Pink'],
                                    default='blue')
        )                                                           
)
William Rosenbaum0

you could use apply and a map

import pandas as pd

d = {'Fruit': ['Apple', 'Orange', 'Pear', 'Peach'], 'Color': ['','','','']}
df = pd.DataFrame(data=d)

mapa = {'Apple':'red', 'Orange':'orange', 'Pear':'green', 'Peach':'light-orange'}
df.Color = df.Fruit.apply(lambda x: mapa[x])
df
Lucas M. Uriarte0

You can simply use pandas.Series.map :

dico = {'Apple': 'Red', 'Orange': 'Orange', 'Pear': 'Green', 'Peach': 'Rose'}

df['Color'] = df['Fruit'].map(dico)
# Output :
print(df)

    Fruit   Color
0   Apple     Red
1  Orange  Orange
2    Pear   Green
3   Peach    Rose
abokey0
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