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PERF: Performance improvement for MultiIndexes with a DatetimeIndex levels #8544

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Merged
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Oct 13, 2014
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PERF: Performance improvement for MultiIndexes with a DatetimeIndex levels #8544

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1 change: 1 addition & 0 deletions doc/source/v0.15.0.txt
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Expand Up @@ -932,6 +932,7 @@ Performance
- Performance improvement in writing to sql (``to_sql``) of up to 50% (:issue:`8208`).
- Performance benchmarking of groupby for large value of ngroups (:issue:`6787`)
- Performance improvement in ``CustomBusinessDay``, ``CustomBusinessMonth`` (:issue:`8236`)
- Performance improvement for ``MultiIndex.values`` for multi-level indexes containing datetimes (:issue:`8543`)



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5 changes: 3 additions & 2 deletions pandas/core/index.py
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Expand Up @@ -2937,10 +2937,11 @@ def values(self):

values = []
for lev, lab in zip(self.levels, self.labels):
taken = com.take_1d(lev.values, lab)
lev_values = lev.values
# Need to box timestamps, etc.
if hasattr(lev, '_box_values'):
taken = lev._box_values(taken)
lev_values = lev._box_values(lev_values)
taken = com.take_1d(lev_values, lab)
values.append(taken)

self._tuples = lib.fast_zip(values)
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13 changes: 13 additions & 0 deletions vb_suite/index_object.py
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Expand Up @@ -117,3 +117,16 @@
multiindex_from_product = Benchmark('MultiIndex.from_product(iterables)',
setup, name='multiindex_from_product',
start_date=datetime(2014, 6, 30))

#----------------------------------------------------------------------
# MultiIndex with DatetimeIndex level

setup = common_setup + """
level1 = range(1000)
level2 = date_range(start='1/1/2012', periods=10)
"""

multiindex_with_datetime_level = \
Benchmark("MultiIndex.from_product([level1, level2]).values", setup,
name='multiindex_with_datetime_level',
start_date=datetime(2014, 10, 11))