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ENH: Series.resample performance with datetime64[ns] #7754 #10057

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May 12, 2015
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2 changes: 2 additions & 0 deletions doc/source/whatsnew/v0.17.0.txt
Original file line number Diff line number Diff line change
Expand Up @@ -53,6 +53,8 @@ Removal of prior version deprecations/changes
Performance Improvements
~~~~~~~~~~~~~~~~~~~~~~~~

- Improved ``Series.resample`` performance with dtype=datetime64[ns] (:issue:`7754`)

.. _whatsnew_0170.bug_fixes:

Bug Fixes
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2 changes: 2 additions & 0 deletions pandas/core/groupby.py
Original file line number Diff line number Diff line change
Expand Up @@ -1496,6 +1496,8 @@ def aggregate(self, values, how, axis=0):

if is_datetime_or_timedelta_dtype(values.dtype):
values = values.view('int64')
# GH 7754
is_numeric = True
elif is_bool_dtype(values.dtype):
values = _algos.ensure_float64(values)
elif com.is_integer_dtype(values):
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10 changes: 10 additions & 0 deletions vb_suite/timeseries.py
Original file line number Diff line number Diff line change
Expand Up @@ -135,6 +135,16 @@ def date_range(start=None, end=None, periods=None, freq=None):
Benchmark("ts.resample('D', how='mean')", setup,
start_date=datetime(2012, 4, 25))

# GH 7754
setup = common_setup + """
rng = date_range(start='2000-01-01 00:00:00',
end='2000-01-01 10:00:00', freq='555000U')
int_ts = Series(5, rng, dtype='int64')
ts = int_ts.astype('datetime64[ns]')
"""

timeseries_resample_datetime64 = Benchmark("ts.resample('1S', how='last')", setup)

#----------------------------------------------------------------------
# to_datetime

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