CLN: Simplify gathering of results in aggregate
- [ ] closes #xxxx
- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry

Reduces the number of paths when collecting results in `aggregation.aggregate`; one where we are gathering NDFrames using `concat` and the other where we are gathering scalars using `Series`.

The reason for the one test change is as follows. In one case, we previously gathered results using `DataFrame`. When this occurs and the indexes are not all equal, `DataFrame` will sort the index whereas `concat` will have the index in order of appearance. For example with

```
df = DataFrame(
    {
        'A': pd.Series([1, 2], index=['b', 'a']),
        'B': pd.Series([3, 4], index=['c', 'a'])
    }
)
```

gives 

```
     A    B
a  2.0  4.0
b  1.0  NaN
c  NaN  3.0
```

whereas using `concat` instead of `DataFrame` on the first line with `axis=1` gives:

```
     A    B
b  1.0  NaN
a  2.0  4.0
c  NaN  3.0
```

If in this example you replace the 2nd index with ['b', 'a'] (so that they are equal), then both `Dataframe` and `concat` will produce the same result with index `['b', 'a']`. If on the other hand you replace the 2nd index with `['a', 'b']`, then `DataFrame` will result in index `['a', 'b']` whereas concat will result in index `['b', 'a']`.