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binary_ops.py
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from .pandas_vb_common import *
import pandas.computation.expressions as expr
class frame_add(object):
goal_time = 0.2
def setup(self):
self.df = DataFrame(np.random.randn(20000, 100))
self.df2 = DataFrame(np.random.randn(20000, 100))
def time_frame_add(self):
(self.df + self.df2)
class frame_add_no_ne(object):
goal_time = 0.2
def setup(self):
self.df = DataFrame(np.random.randn(20000, 100))
self.df2 = DataFrame(np.random.randn(20000, 100))
expr.set_use_numexpr(False)
def time_frame_add_no_ne(self):
(self.df + self.df2)
def teardown(self):
expr.set_use_numexpr(True)
class frame_add_st(object):
goal_time = 0.2
def setup(self):
self.df = DataFrame(np.random.randn(20000, 100))
self.df2 = DataFrame(np.random.randn(20000, 100))
expr.set_numexpr_threads(1)
def time_frame_add_st(self):
(self.df + self.df2)
def teardown(self):
expr.set_numexpr_threads()
class frame_float_div(object):
goal_time = 0.2
def setup(self):
self.df = DataFrame(np.random.randn(1000, 1000))
self.df2 = DataFrame(np.random.randn(1000, 1000))
def time_frame_float_div(self):
(self.df // self.df2)
class frame_float_div_by_zero(object):
goal_time = 0.2
def setup(self):
self.df = DataFrame(np.random.randn(1000, 1000))
def time_frame_float_div_by_zero(self):
(self.df / 0)
class frame_float_floor_by_zero(object):
goal_time = 0.2
def setup(self):
self.df = DataFrame(np.random.randn(1000, 1000))
def time_frame_float_floor_by_zero(self):
(self.df // 0)
class frame_float_mod(object):
goal_time = 0.2
def setup(self):
self.df = DataFrame(np.random.randn(1000, 1000))
self.df2 = DataFrame(np.random.randn(1000, 1000))
def time_frame_float_mod(self):
(self.df / self.df2)
class frame_int_div_by_zero(object):
goal_time = 0.2
def setup(self):
self.df = DataFrame(np.random.random_integers(np.iinfo(np.int16).min, np.iinfo(np.int16).max, size=(1000, 1000)))
def time_frame_int_div_by_zero(self):
(self.df / 0)
class frame_int_mod(object):
goal_time = 0.2
def setup(self):
self.df = DataFrame(np.random.random_integers(np.iinfo(np.int16).min, np.iinfo(np.int16).max, size=(1000, 1000)))
self.df2 = DataFrame(np.random.random_integers(np.iinfo(np.int16).min, np.iinfo(np.int16).max, size=(1000, 1000)))
def time_frame_int_mod(self):
(self.df / self.df2)
class frame_mult(object):
goal_time = 0.2
def setup(self):
self.df = DataFrame(np.random.randn(20000, 100))
self.df2 = DataFrame(np.random.randn(20000, 100))
def time_frame_mult(self):
(self.df * self.df2)
class frame_mult_no_ne(object):
goal_time = 0.2
def setup(self):
self.df = DataFrame(np.random.randn(20000, 100))
self.df2 = DataFrame(np.random.randn(20000, 100))
expr.set_use_numexpr(False)
def time_frame_mult_no_ne(self):
(self.df * self.df2)
def teardown(self):
expr.set_use_numexpr(True)
class frame_mult_st(object):
goal_time = 0.2
def setup(self):
self.df = DataFrame(np.random.randn(20000, 100))
self.df2 = DataFrame(np.random.randn(20000, 100))
expr.set_numexpr_threads(1)
def time_frame_mult_st(self):
(self.df * self.df2)
def teardown(self):
expr.set_numexpr_threads()
class frame_multi_and(object):
goal_time = 0.2
def setup(self):
self.df = DataFrame(np.random.randn(20000, 100))
self.df2 = DataFrame(np.random.randn(20000, 100))
def time_frame_multi_and(self):
self.df[((self.df > 0) & (self.df2 > 0))]
class frame_multi_and_no_ne(object):
goal_time = 0.2
def setup(self):
self.df = DataFrame(np.random.randn(20000, 100))
self.df2 = DataFrame(np.random.randn(20000, 100))
expr.set_use_numexpr(False)
def time_frame_multi_and_no_ne(self):
self.df[((self.df > 0) & (self.df2 > 0))]
def teardown(self):
expr.set_use_numexpr(True)
class frame_multi_and_st(object):
goal_time = 0.2
def setup(self):
self.df = DataFrame(np.random.randn(20000, 100))
self.df2 = DataFrame(np.random.randn(20000, 100))
expr.set_numexpr_threads(1)
def time_frame_multi_and_st(self):
self.df[((self.df > 0) & (self.df2 > 0))]
def teardown(self):
expr.set_numexpr_threads()
class series_timestamp_compare(object):
goal_time = 0.2
def setup(self):
self.N = 1000000
self.halfway = ((self.N // 2) - 1)
self.s = Series(date_range('20010101', periods=self.N, freq='T'))
self.ts = self.s[self.halfway]
def time_series_timestamp_compare(self):
(self.s <= self.ts)
class timestamp_ops_diff1(object):
goal_time = 0.2
N = 1000000
def setup(self):
self.s = self.create()
def create(self):
return Series(date_range('20010101', periods=self.N, freq='s'))
def time_timestamp_ops_diff1(self):
self.s.diff()
class timestamp_tz_ops_diff1(timestamp_ops_diff1):
N = 10000
def create(self):
return Series(date_range('20010101', periods=self.N, freq='s', tz='US/Eastern'))
class timestamp_ops_diff2(object):
goal_time = 0.2
N = 1000000
def setup(self):
self.s = self.create()
def create(self):
return Series(date_range('20010101', periods=self.N, freq='s'))
def time_timestamp_ops_diff2(self):
(self.s - self.s.shift())
class timestamp_tz_ops_diff2(timestamp_ops_diff2):
N = 10000
def create(self):
return Series(date_range('20010101', periods=self.N, freq='s', tz='US/Eastern'))
class timestamp_series_compare(object):
goal_time = 0.2
N = 1000000
def setup(self):
self.halfway = ((self.N // 2) - 1)
self.s = self.create()
self.ts = self.s[self.halfway]
def create(self):
return Series(date_range('20010101', periods=self.N, freq='T'))
def time_timestamp_series_compare(self):
(self.ts >= self.s)
class timestamp_tz_series_compare(timestamp_series_compare):
N = 10000
def create(self):
return Series(date_range('20010101', periods=self.N, freq='T', tz='US/Eastern'))