How can I concatenate a Series onto a DataFrame with Pandas?

Question

If I have a DataFrame:

students = pd.DataFrame([
    ['Alex'],
    ['Lauren'],
])

How can I concatenate a Series and create a new DataFrame? For example, I'd like:

>>> marks = pd.Series([.8, .75])
>>> students.concat(marks).values
[['Alex', .8],
 ['Lauren', .75]]

I know that I could use:

students['marks'] = marks

But that would mutate students.

I've tried:

 >>> pd.concat([students, marks])
 …
 AttributeError: 'Series' object has no attribute '_data'

Answer 1

You can convert to DataFrame and concatenate afterwards:

>>> pd.concat([students, pd.DataFrame(marks)], axis=1)
        0     0
0    Alex  0.80
1  Lauren  0.75