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timeseries.py
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timeseries.py
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from vbench.api import Benchmark
from datetime import datetime
common_setup = """from pandas_vb_common import *
from datetime import timedelta
N = 100000
try:
rng = date_range('1/1/2000', periods=N, freq='min')
except NameError:
rng = DateRange('1/1/2000', periods=N, offset=datetools.Minute())
def date_range(start=None, end=None, periods=None, freq=None):
return DateRange(start, end, periods=periods, offset=freq)
if hasattr(Series, 'convert'):
Series.resample = Series.convert
ts = Series(np.random.randn(N), index=rng)
"""
#----------------------------------------------------------------------
# Lookup value in large time series, hash map population
setup = common_setup + """
rng = date_range('1/1/2000', periods=1500000, freq='s')
ts = Series(1, index=rng)
"""
stmt = "ts[ts.index[len(ts) // 2]]; ts.index._cleanup()"
timeseries_large_lookup_value = Benchmark(stmt, setup,
start_date=datetime(2012, 1, 1))
#----------------------------------------------------------------------
# Test slice minutely series
timeseries_slice_minutely = Benchmark('ts[:10000]', common_setup)
#----------------------------------------------------------------------
# Test conversion
setup = common_setup + """
"""
timeseries_1min_5min_ohlc = Benchmark("ts[:10000].resample('5min', how='ohlc')",
common_setup,
start_date=datetime(2012, 5, 1))
timeseries_1min_5min_mean = Benchmark("ts[:10000].resample('5min', how='mean')",
common_setup,
start_date=datetime(2012, 5, 1))
#----------------------------------------------------------------------
# Irregular alignment
setup = common_setup + """
lindex = np.random.permutation(N)[:N // 2]
rindex = np.random.permutation(N)[:N // 2]
left = Series(ts.values.take(lindex), index=ts.index.take(lindex))
right = Series(ts.values.take(rindex), index=ts.index.take(rindex))
"""
timeseries_add_irregular = Benchmark('left + right', setup)
#----------------------------------------------------------------------
# Sort large irregular time series
setup = common_setup + """
N = 100000
rng = date_range('1/1/2000', periods=N, freq='s')
rng = rng.take(np.random.permutation(N))
ts = Series(np.random.randn(N), index=rng)
"""
timeseries_sort_index = Benchmark('ts.sort_index()', setup,
start_date=datetime(2012, 4, 1))
#----------------------------------------------------------------------
# Shifting, add offset
setup = common_setup + """
rng = date_range('1/1/2000', periods=10000, freq='T')
"""
datetimeindex_add_offset = Benchmark('rng + timedelta(minutes=2)', setup,
start_date=datetime(2012, 4, 1))
setup = common_setup + """
N = 10000
rng = date_range('1/1/1990', periods=N, freq='53s')
ts = Series(np.random.randn(N), index=rng)
dates = date_range('1/1/1990', periods=N * 10, freq='5s')
"""
timeseries_asof_single = Benchmark('ts.asof(dates[0])', setup,
start_date=datetime(2012, 4, 27))
timeseries_asof = Benchmark('ts.asof(dates)', setup,
start_date=datetime(2012, 4, 27))
setup = setup + 'ts[250:5000] = np.nan'
timeseries_asof_nan = Benchmark('ts.asof(dates)', setup,
start_date=datetime(2012, 4, 27))
#----------------------------------------------------------------------
# Time zone stuff
setup = common_setup + """
rng = date_range('1/1/2000', '3/1/2000', tz='US/Eastern')
"""
timeseries_timestamp_tzinfo_cons = \
Benchmark('rng[0]', setup, start_date=datetime(2012, 5, 5))
#----------------------------------------------------------------------
# Resampling period
setup = common_setup + """
rng = period_range('1/1/2000', '1/1/2001', freq='T')
ts = Series(np.random.randn(len(rng)), index=rng)
"""
timeseries_period_downsample_mean = \
Benchmark("ts.resample('D', how='mean')", setup,
start_date=datetime(2012, 4, 25))
setup = common_setup + """
rng = date_range('1/1/2000', '1/1/2001', freq='T')
ts = Series(np.random.randn(len(rng)), index=rng)
"""
timeseries_timestamp_downsample_mean = \
Benchmark("ts.resample('D', how='mean')", setup,
start_date=datetime(2012, 4, 25))