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PERF/CLN: infer Period in infer_dtype, later index inference is faster #3332

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Merged
merged 1 commit into from
Apr 12, 2013
Merged

PERF/CLN: infer Period in infer_dtype, later index inference is faster #3332

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4 changes: 2 additions & 2 deletions pandas/core/index.py
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Original file line number Diff line number Diff line change
Expand Up @@ -127,8 +127,8 @@ def __new__(cls, data, dtype=None, copy=False, name=None):
from pandas.tseries.index import DatetimeIndex
return DatetimeIndex(subarr, copy=copy, name=name)

if lib.is_period_array(subarr):
return PeriodIndex(subarr, name=name)
elif inferred == 'period':
return PeriodIndex(subarr, name=name)

subarr = subarr.view(cls)
subarr.name = name
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8 changes: 8 additions & 0 deletions pandas/src/inference.pyx
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Original file line number Diff line number Diff line change
Expand Up @@ -97,6 +97,10 @@ def infer_dtype(object _values):
if is_timedelta_or_timedelta64_array(values):
return 'timedelta'

elif is_period(val):
if is_period_array(values):
return 'period'

for i in range(n):
val = util.get_value_1d(values, i)
if util.is_integer_object(val):
Expand Down Expand Up @@ -321,6 +325,10 @@ def is_time_array(ndarray[object] values):
return False
return True

def is_period(object o):
from pandas import Period
return isinstance(o,Period)

def is_period_array(ndarray[object] values):
cdef int i, n = len(values)
from pandas import Period
Expand Down