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from pandas import (DataFrame, Series, Period, PeriodIndex, date_range,
period_range)
class PeriodProperties(object):
params = (['M', 'min'],
['year', 'month', 'day', 'hour', 'minute', 'second',
'is_leap_year', 'quarter', 'qyear', 'week', 'daysinmonth',
'dayofweek', 'dayofyear', 'start_time', 'end_time'])
param_names = ['freq', 'attr']
def setup(self, freq, attr):
self.per = Period('2012-06-01', freq=freq)
def time_property(self, freq, attr):
getattr(self.per, attr)
class PeriodUnaryMethods(object):
params = ['M', 'min']
param_names = ['freq']
def setup(self, freq):
self.per = Period('2012-06-01', freq=freq)
def time_to_timestamp(self, freq):
self.per.to_timestamp()
def time_now(self, freq):
self.per.now(freq)
def time_asfreq(self, freq):
self.per.asfreq('A')
class PeriodIndexConstructor(object):
goal_time = 0.2
params = ['D']
param_names = ['freq']
def setup(self, freq):
self.rng = date_range('1985', periods=1000)
self.rng2 = date_range('1985', periods=1000).to_pydatetime()
def time_from_date_range(self, freq):
PeriodIndex(self.rng, freq=freq)
def time_from_pydatetime(self, freq):
PeriodIndex(self.rng2, freq=freq)
class DataFramePeriodColumn(object):
goal_time = 0.2
def setup(self):
self.rng = period_range(start='1/1/1990', freq='S', periods=20000)
self.df = DataFrame(index=range(len(self.rng)))
def time_setitem_period_column(self):
self.df['col'] = self.rng
class Algorithms(object):
goal_time = 0.2
params = ['index', 'series']
param_names = ['typ']
def setup(self, typ):
data = [Period('2011-01', freq='M'), Period('2011-02', freq='M'),
Period('2011-03', freq='M'), Period('2011-04', freq='M')]
if typ == 'index':
self.vector = PeriodIndex(data * 1000, freq='M')
elif typ == 'series':
self.vector = Series(data * 1000)
def time_drop_duplicates(self, typ):
self.vector.drop_duplicates()
def time_value_counts(self, typ):
self.vector.value_counts()
class Indexing(object):
goal_time = 0.2
def setup(self):
self.index = PeriodIndex(start='1985', periods=1000, freq='D')
self.series = Series(range(1000), index=self.index)
self.period = self.index[500]
def time_get_loc(self):
self.index.get_loc(self.period)
def time_shape(self):
self.index.shape
def time_shallow_copy(self):
self.index._shallow_copy()
def time_series_loc(self):
self.series.loc[self.period]
def time_align(self):
DataFrame({'a': self.series, 'b': self.series[:500]})
def time_intersection(self):
self.index[:750].intersection(self.index[250:])
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