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from vbench.api import Benchmark
from datetime import datetime
common_setup = """from pandas_vb_common import *
from datetime import timedelta
import pandas._tseries as lib
N = 1000000
try:
rng = date_range('1/1/2000', periods=N, freq='min')
except NameError:
rng = DateRange('1/1/2000', periods=N, offset=datetools.Minute())
date_range = DateRange
ts = Series(np.random.randn(N), index=rng)
def replace_slow(ser, old, new):
lib.slow_replace(ser.values, old, new)
return ser
"""
replace_fillna = Benchmark('ts.fillna(0., inplace=True)', common_setup,
start_date=datetime(2012, 4, 4))
replace_replacena = Benchmark('ts.replace(np.nan, 0., inplace=True)',
common_setup,
start_date=datetime(2012, 5, 15))
replace_putmask = Benchmark('replace_slow(ts, np.nan, 0.)', common_setup,
start_date=datetime(2012, 5, 15))
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