Changing a string column into several boolean columns using pandas

Question

I have a two columned data set that I would like to reshape.
Looking at this fake df:

df=pd.DataFrame([
    ['Alex', 'Apple'],['Bob', 'Banana'],['Clark', 'Citrus'], ['Diana', 'Banana'], [
'Elisa', 'Apple'], ['Frida', 'Citrus'], ['George', 'Citrus'], ['Hanna', 'Banana']
],columns=['Name', 'Fruit'])

I would like to have four columns; Name, Apple, Banana and Citrus where the three latter are booleans (true/false).
I've looked inte unstack but it's really not what I am looking for.

Answer 1

I think this should be a good use case for get_dummies:

df.set_index('Name')['Fruit'].str.get_dummies().astype(bool).reset_index()

     Name  Apple  Banana  Citrus
0    Alex   True   False   False
1     Bob  False    True   False
2   Clark  False   False    True
3   Diana  False    True   False
4   Elisa   True   False   False
5   Frida  False   False    True
6  George  False   False    True
7   Hanna  False    True   False

---

In similar vein, we have,

pd.concat([df['Name'], df['Fruit'].str.get_dummies().astype(bool)], axis=1)

     Name  Apple  Banana  Citrus
0    Alex   True   False   False
1     Bob  False    True   False
2   Clark  False   False    True
3   Diana  False    True   False
4   Elisa   True   False   False
5   Frida  False   False    True
6  George  False   False    True
7   Hanna  False    True   False

Answer 2

You can use the below:

df[['Name']].join(pd.get_dummies(df.Fruit).astype(bool))

     Name  Apple  Banana  Citrus
0    Alex   True   False   False
1     Bob  False    True   False
2   Clark  False   False    True
3   Diana  False    True   False
4   Elisa   True   False   False
5   Frida  False   False    True
6  George  False   False    True
7   Hanna  False    True   False