/vb_suite/binary_ops.py

from vbench.benchmark import Benchmark
from datetime import datetime

common_setup = """from .pandas_vb_common import *
"""

SECTION = 'Binary ops'

#----------------------------------------------------------------------
# binary ops

#----------------------------------------------------------------------
# add

setup = common_setup + """
df  = DataFrame(np.random.randn(20000, 100))
df2 = DataFrame(np.random.randn(20000, 100))
"""
frame_add = \
    Benchmark("df + df2", setup, name='frame_add',
              start_date=datetime(2012, 1, 1))

setup = common_setup + """
import pandas.computation.expressions as expr
df  = DataFrame(np.random.randn(20000, 100))
df2 = DataFrame(np.random.randn(20000, 100))
expr.set_numexpr_threads(1)
"""

frame_add_st = \
    Benchmark("df + df2", setup, name='frame_add_st',cleanup="expr.set_numexpr_threads()",
              start_date=datetime(2013, 2, 26))

setup = common_setup + """
import pandas.computation.expressions as expr
df  = DataFrame(np.random.randn(20000, 100))
df2 = DataFrame(np.random.randn(20000, 100))
expr.set_use_numexpr(False)
"""
frame_add_no_ne = \
    Benchmark("df + df2", setup, name='frame_add_no_ne',cleanup="expr.set_use_numexpr(True)",
              start_date=datetime(2013, 2, 26))

#----------------------------------------------------------------------
# mult

setup = common_setup + """
df  = DataFrame(np.random.randn(20000, 100))
df2 = DataFrame(np.random.randn(20000, 100))
"""
frame_mult = \
    Benchmark("df * df2", setup, name='frame_mult',
              start_date=datetime(2012, 1, 1))

setup = common_setup + """
import pandas.computation.expressions as expr
df  = DataFrame(np.random.randn(20000, 100))
df2 = DataFrame(np.random.randn(20000, 100))
expr.set_numexpr_threads(1)
"""
frame_mult_st = \
    Benchmark("df * df2", setup, name='frame_mult_st',cleanup="expr.set_numexpr_threads()",
              start_date=datetime(2013, 2, 26))

setup = common_setup + """
import pandas.computation.expressions as expr
df  = DataFrame(np.random.randn(20000, 100))
df2 = DataFrame(np.random.randn(20000, 100))
expr.set_use_numexpr(False)
"""
frame_mult_no_ne = \
    Benchmark("df * df2", setup, name='frame_mult_no_ne',cleanup="expr.set_use_numexpr(True)",
              start_date=datetime(2013, 2, 26))

#----------------------------------------------------------------------
# division

setup = common_setup + """
df  = DataFrame(np.random.randn(1000, 1000))
"""
frame_float_div_by_zero = \
    Benchmark("df / 0", setup, name='frame_float_div_by_zero')

setup = common_setup + """
df  = DataFrame(np.random.randn(1000, 1000))
"""
frame_float_floor_by_zero = \
    Benchmark("df // 0", setup, name='frame_float_floor_by_zero')

setup = common_setup + """
df  = DataFrame(np.random.random_integers(np.iinfo(np.int16).min, np.iinfo(np.int16).max, size=(1000, 1000)))
"""
frame_int_div_by_zero = \
    Benchmark("df / 0", setup, name='frame_int_div_by_zero')

setup = common_setup + """
df  = DataFrame(np.random.randn(1000, 1000))
df2 = DataFrame(np.random.randn(1000, 1000))
"""
frame_float_div = \
    Benchmark("df // df2", setup, name='frame_float_div')

#----------------------------------------------------------------------
# modulo

setup = common_setup + """
df  = DataFrame(np.random.randn(1000, 1000))
df2 = DataFrame(np.random.randn(1000, 1000))
"""
frame_float_mod = \
    Benchmark("df / df2", setup, name='frame_float_mod')

setup = common_setup + """
df  = DataFrame(np.random.random_integers(np.iinfo(np.int16).min, np.iinfo(np.int16).max, size=(1000, 1000)))
df2 = DataFrame(np.random.random_integers(np.iinfo(np.int16).min, np.iinfo(np.int16).max, size=(1000, 1000)))
"""
frame_int_mod = \
    Benchmark("df / df2", setup, name='frame_int_mod')

#----------------------------------------------------------------------
# multi and

setup = common_setup + """
df  = DataFrame(np.random.randn(20000, 100))
df2 = DataFrame(np.random.randn(20000, 100))
"""
frame_multi_and = \
    Benchmark("df[(df>0) & (df2>0)]", setup, name='frame_multi_and',
              start_date=datetime(2012, 1, 1))

setup = common_setup + """
import pandas.computation.expressions as expr
df  = DataFrame(np.random.randn(20000, 100))
df2 = DataFrame(np.random.randn(20000, 100))
expr.set_numexpr_threads(1)
"""
frame_multi_and_st = \
    Benchmark("df[(df>0) & (df2>0)]", setup, name='frame_multi_and_st',cleanup="expr.set_numexpr_threads()",
              start_date=datetime(2013, 2, 26))

setup = common_setup + """
import pandas.computation.expressions as expr
df  = DataFrame(np.random.randn(20000, 100))
df2 = DataFrame(np.random.randn(20000, 100))
expr.set_use_numexpr(False)
"""
frame_multi_and_no_ne = \
    Benchmark("df[(df>0) & (df2>0)]", setup, name='frame_multi_and_no_ne',cleanup="expr.set_use_numexpr(True)",
              start_date=datetime(2013, 2, 26))

#----------------------------------------------------------------------
# timeseries

setup = common_setup + """
N = 1000000
halfway = N // 2 - 1
s = Series(date_range('20010101', periods=N, freq='T'))
ts = s[halfway]
"""

timestamp_series_compare = Benchmark("ts >= s", setup,
                                     start_date=datetime(2013, 9, 27))
series_timestamp_compare = Benchmark("s <= ts", setup,
                                     start_date=datetime(2012, 2, 21))

setup = common_setup + """
N = 1000000
s = Series(date_range('20010101', periods=N, freq='s'))
"""

timestamp_ops_diff1 = Benchmark("s.diff()", setup,
                                start_date=datetime(2013, 1, 1))
timestamp_ops_diff2 = Benchmark("s-s.shift()", setup,
                                start_date=datetime(2013, 1, 1))

#----------------------------------------------------------------------
# timeseries with tz

setup = common_setup + """
N = 10000
halfway = N // 2 - 1
s = Series(date_range('20010101', periods=N, freq='T', tz='US/Eastern'))
ts = s[halfway]
"""

timestamp_tz_series_compare = Benchmark("ts >= s", setup,
                                        start_date=datetime(2013, 9, 27))
series_timestamp_tz_compare = Benchmark("s <= ts", setup,
                                        start_date=datetime(2012, 2, 21))

setup = common_setup + """
N = 10000
s = Series(date_range('20010101', periods=N, freq='s', tz='US/Eastern'))
"""

timestamp_tz_ops_diff1 = Benchmark("s.diff()", setup,
                                   start_date=datetime(2013, 1, 1))
timestamp_tz_ops_diff2 = Benchmark("s-s.shift()", setup,
                                   start_date=datetime(2013, 1, 1))