BUG: Misc fixes for SparseSeries indexing with MI

[sinhrks]

• closes SparseSeries throws a ValueError exception when printing large arrays #13144
• tests added / passed
• passes git diff upstream/master | flake8 --diff
• whatsnew entry

Fixed following bugs. These makes MultiIndex repr work.

orig = pd.Series([1, np.nan, np.nan, 3, np.nan], index=idx)
sparse = orig.to_sparse()
sparse['A']    
# IndexError: Out of bounds access

# the result must have MultiIndex
sparse.loc['A':]
# (A, 0)    1.0
# (A, 1)    NaN
# (B, 0)    NaN
# (C, 0)    3.0
# (C, 1)    NaN
# dtype: float64
# BlockIndex
# Block locations: array([0, 3], dtype=int32)
# Block lengths: array([1, 1], dtype=int32)

[codecov-io]

Current coverage is 84.12%

Merging #13163 into master will decrease coverage by -<.01%

@@             master     #13163   diff @@
==========================================
  Files           138        138          
  Lines         50380      50380          
  Methods           0          0          
  Messages          0          0          
  Branches          0          0          
==========================================
- Hits          42380      42378     -2   
- Misses         8000       8002     +2   
  Partials          0          0          

1. File ...das/sparse/series.py was modified. more
   • Misses +1
   • Partials 0
   • Hits -1

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[jreback]

thanks @sinhrks