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binary_ops.py
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binary_ops.py
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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((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((1000, 1000)))
df2 = DataFrame(np.random.random_integers((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))