BUG:Pandas 1.0.3 → 1.1.1 behavior change on DataFrame.apply() whith raw option and func returning string
- [x] I have checked that this issue has not already been reported.

- [x] I have confirmed this bug exists on the latest version of pandas.

- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.

---

```python
df_1 = pd.DataFrame({'A': ["aa","bbb"]})
df_2 = pd.DataFrame({'A': ["bbb","aa"]})

def get_value(array):
        return array[0]

r_1 = df_1.apply(get_value, axis=1, raw=True)
r_2 = df_2.apply(get_value, axis=1, raw=True)

print(r_1)
print(r_2)
```

#### Output
0    aa
1    bb
dtype: object
0    bbb
1     aa
dtype: object

#### Problem description
The results are truncated when the smallest strings is first.  However, when the result (eg. array[0]) is printed before the return of the func, it's displays the correct value.  
(This issue occurred when using apply with the raw option for a function using several columns)

#### Expected Output
0    aa
1    bbb
dtype: object
0    bbb
1     aa
dtype: object


#### Output of ``pd.show_versions()``

<details>

Pandas 1.1.1
Numpy 1.19.1

</details>
