Pandas BUG: pandas.Categorical.__unicode__ does not respect console display width

Code Sample, a copy-pastable example if possible

ages = [20, 22, 25, 27, 21, 23, 37, 31, 61, 45, 41, 32]
bins = [18, 25, 35, 60, 100]
cats = pd.cut(ages, bins)
print(repr(cats))

Problem description

This outputs

[(18, 25], (18, 25], (18, 25], (25, 35], (18, 25], ..., (25, 35], (60, 100], (35, 60], (35, 60], (25, 35]]
Length: 12
Categories (4, object): [(18, 25] < (25, 35] < (35, 60] < (60, 100]]

The first line has 106 characters. This is a bad user experience for shell users with 80-character-wide terminals

Expected Output

in the first line

[(18, 25], (18, 25], (18, 25], (25, 35], (18, 25], ...,
 (25, 35], (60, 100], (35, 60], (35, 60], (25, 35]]

or

[(18, 25], (18, 25], (18, 25], ..., (35, 60], (35, 60], (25, 35]]

Output of pd.show_versions()

pandas 0.19.2

Comment From: wesm

The categories output spills over too

In [22]: data = np.random.randn(1000)

In [23]:  pd.qcut(data, [0, 0.1, 0.5, 0.9, 1.])
Out[23]: 
[(-1.245, 0.0321], (-1.245, 0.0321], (-1.245, 0.0321], (-1.245, 0.0321], (-1.245, 0.0321], ..., (0.0321, 1.286], (-1.245, 0.0321], (0.0321, 1.286], (0.0321, 1.286], (0.0321, 1.286]]
Length: 1000
Categories (4, object): [[-3.285, -1.245] < (-1.245, 0.0321] < (0.0321, 1.286] < (1.286, 3.117]]

Comment From: jreback

dupe of #12066

Comment From: wesm

Funny. Thanks