as_float_array dimensions vary for python2 vs python3

[vyasr]

The following code snippet yields slightly different answers depending on whether it is run in python2 or python3:

>>> import quaternion as q
>>> p = q.quaternion(1, 2, 3, 4)
>>> print(q.as_float_array(p))

In python2:

[ 1.  2.  3.  4.]

In python3:

[[ 1.  2.  3.  4.]]

I imagine that the second behavior is preferable, but either way should be fine as long as it's consistent.

[moble]

The behavior was changed in issue #44, to go from what you list for python3 to what you list for python2. You evidently installed the updated package for python2, but still have the older version for python3. If you print(quaternion.__version__) it should be 2017.04.05.14.49.15.dev261789573, which is only built for conda with python 2.7 and 3.6. You can still install the package yourself in other versions, but not with a simple conda install command.