import nose
import sys
import os
import pandas
from pandas import (Series, DataFrame, Panel, MultiIndex, bdate_range,
date_range, Index, DatetimeIndex, isnull)
from pandas.io.pytables import (HDFStore, get_store, Term, read_hdf,
PossibleDataLossError, ClosedFileError)
from pandas.io import pytables as pytables
import pandas.util.testing as tm
from pandas.util.testing import (assert_panel4d_equal,
assert_panel_equal,
assert_series_equal)
from pandas import concat, Timestamp
from pandas.compat import zip
from pandas.types.generic import ABCSeries, ABCIndex
from pandas.types.missing import isnull, notnull
from pandas.types.common import (is_bool_dtype,
is_categorical_dtype,
is_integer)
from pandas.core.common import _values_from_object
from pandas.core.algorithms import take_1d
import pandas.compat as compat
from pandas.core.base import AccessorProperty, NoNewAttributesMixin
from pandas.util.decorators import Appender
import re
import pandas.lib as lib
import warnings
import os
import sys
import datetime as dt
import pandas
import numpy as np
def load_data_frame_from_hdf5(fullname):
store = pandas.HDFStore(fullname, mode='r')
data=load_data_frame_from_hdf5(hdf5FileName)
cp=pandas.DataFrame(data.cp)
op=pandas.DataFrame(data.op)
adj_cp=pandas.DataFrame(data.adj_cp)
#load all other tickers
cp=pandas.merge(cp, pandas.DataFrame(data.cp), left_index=True, right_index=True, how='outer')
op=pandas.merge(op, pandas.DataFrame(data.op), left_index=True, right_index=True, how='outer')
import copy
import itertools
import re
import numpy as np
from pandas.core.base import PandasObject
from pandas.core.common import (_possibly_downcast_to_dtype, isnull,
_possibly_infer_to_datetimelike)
from pandas.core.index import Index, MultiIndex, _ensure_index
from pandas.core.indexing import (_maybe_convert_indices, _length_of_indexer)
import pandas.core.common as com
from pandas.sparse.array import _maybe_to_sparse, SparseArray
import pandas.lib as lib
import pandas.tslib as tslib
import pandas.computation.expressions as expressions
import datetime as dt
import pandas
import numpy as np
import os
import matplotlib.pyplot as plt
import sys
path="/backtest_data/1second/teams_data/team3/data/"
sent=pandas.load(path+"recorded_future.bin")
cp=pandas.load(path+"adj_close_px_all_from_09.bin") #need this to merge with the date index used in price files
#flatten out the sentiment data
w30=pandas.DataFrame(sent['w30'].ix[tickers[0]])
w24h=pandas.DataFrame(sent['w24h'].ix[tickers[0]])
count=pandas.DataFrame(sent['Count'].ix[tickers[0]])
import nose
from numpy import nan
import numpy as np
from pandas import Index, isnull, Timestamp
from pandas.util.testing import assert_almost_equal
import pandas.util.testing as tm
from pandas.compat import range, lrange, zip
import pandas.lib as lib
import pandas.algos as algos
def test_series_grouper():
from pandas import Series
def test_series_bin_grouper():
from pandas import Series
def test_generate_bins(self):
from pandas.core.groupby import generate_bins_generic
import os
import sys
import datetime as dt
import pandas
import numpy as np
def load_data_frame_from_hdf5(fullname):
store = pandas.HDFStore(fullname, mode='r')
cp=pandas.DataFrame(data['cp'].ix[start:end])
op=pandas.DataFrame(data['op'].ix[start:end])
vol=cp=pandas.DataFrame(data['vol'].ix[start:end])
cp=pandas.merge(cp, pandas.DataFrame(data['cp'].ix[start:end]), left_index=True, right_index=True, how='outer')
op=pandas.merge(op, pandas.DataFrame(data['op'].ix[start:end]), left_index=True, right_index=True, how='outer')
vol=pandas.merge(vol, pandas.DataFrame(data['vol'].ix[start:end]), left_index=True, right_index=True, how='outer')
import statsmodels.base.model as base
from statsmodels.base import data
import statsmodels.base.wrapper as wrap
from statsmodels.tsa.base import datetools
from numpy import arange, asarray
from pandas import Index
from pandas import datetools as pandas_datetools
import datetime
_freq_to_pandas = datetools._freq_to_pandas
dates : array-like of datetime, optional
An array-like object of datetime objects. If a pandas object is given
self._data.predict_end = dtend
# for pandas 0.7.x vs 0.8.x
import re
from datetime import datetime, timedelta
import numpy as np
import pandas.compat as compat
import pandas as pd
from pandas.compat import u, StringIO
from pandas.core.base import FrozenList, FrozenNDArray, DatetimeIndexOpsMixin
from pandas.util.testing import assertRaisesRegexp, assert_isinstance
from pandas import Series, Index, Int64Index, DatetimeIndex, PeriodIndex
from pandas import _np_version_under1p7
import pandas.tslib as tslib
import nose
import pandas.util.testing as tm
exp1 = """<class 'pandas.tseries.index.DatetimeIndex'>
Length: 0, Freq: D, Timezone: None"""
import numpy as np
import pandas.tslib as tslib
import pandas.lib as lib
import pandas._join as _join
import pandas.algos as _algos
import pandas.index as _index
from pandas.lib import Timestamp, Timedelta, is_datetime_array
from pandas.compat import range, u
from pandas.compat.numpy import function as nv
from pandas import compat
from pandas.types.generic import ABCSeries, ABCMultiIndex, ABCPeriodIndex
from pandas.types.missing import isnull, array_equivalent
import numpy as np
import pandas.lib as lib
from pandas.types.common import (is_number,
_ensure_object)
from pandas.types.cast import _possibly_downcast_to_dtype
import pandas as pd
from pandas.compat import reduce
from pandas.core.index import Index
from pandas.core import common as com
"""
Numpy version of itertools.product or pandas.compat.product.
>>> import pandas as pd
import os
import nose
import numpy as np
from pandas.compat import zip
from pandas import DataFrame, Series, unique
import pandas.util.testing as tm
from pandas.util.testing import assertRaisesRegexp
import pandas.core.common as com
from pandas.core.algorithms import quantile
from pandas.tools.tile import cut, qcut
import pandas.tools.tile as tmod
import nose
from datetime import datetime
from numpy.random import randn
import numpy as np
from pandas.core.api import Series, DataFrame, date_range
from pandas.util.testing import assert_almost_equal
import pandas.core.datetools as datetools
import pandas.stats.moments as mom
import pandas.util.testing as tm
import pandas.stats.math as pmath
import pandas.tests.test_series as ts
from pandas import ols
from dateutil.relativedelta import relativedelta
from pandas.compat import range, iteritems
from pandas import compat
import nose
from pandas.compat.numpy import np_datetime64_compat
from pandas.core.datetools import (bday, BDay, CDay, BQuarterEnd, BMonthEnd,
BusinessHour, CustomBusinessHour,
from pandas.core.series import Series
from pandas.tseries.frequencies import (_offset_map, get_freq_code,
_get_freq_str, _INVALID_FREQ_ERROR)
from pandas.tseries.index import _to_m8, DatetimeIndex, _daterange_cache
from pandas.tseries.tools import parse_time_string, DateParseError
import pandas.tseries.offsets as offsets
import sys
import numpy as np
from pandas import *
import pandas.core.sparse as spm
import pandas.compat as compat
reload(spm)
from pandas.core.sparse import *
if 'linux' in sys.platform:
pth = '/home/wesm/code/pandas/example'
else:
# import hotshot, hotshot.stats
import pandas.stats.plm as plm
import pandas.stats.interface as face
reload(plm)
import numpy as np
import pandas.index as _index
from pandas import compat
from pandas.compat.numpy import function as nv
from pandas.types.generic import ABCCategorical, ABCSeries
from pandas.types.common import (is_categorical_dtype,
_ensure_platform_int,
is_scalar)
from pandas.types.missing import array_equivalent
from pandas.util.decorators import (Appender, cache_readonly,
deprecate_kwarg)
from pandas.core.config import get_option
from pandas.indexes.base import Index, _index_shared_docs
from pandas import compat
from pandas.compat import u
from pandas import (Series, DataFrame, Panel, MultiIndex, bdate_range,
date_range, period_range, Index, SparseSeries, SparseDataFrame,
SparsePanel)
import pandas.util.testing as tm
from pandas.util.testing import ensure_clean
from pandas.tests.test_series import assert_series_equal
from pandas.tests.test_frame import assert_frame_equal
from pandas.tests.test_panel import assert_panel_equal
import pandas
from pandas.sparse.tests.test_sparse import assert_sp_series_equal, assert_sp_frame_equal
from pandas import Timestamp, tslib
import nose
import unittest
from pandas.core.daterange import DateRange
from pandas.core.index import Index, MultiIndex
from pandas.core.common import rands, groupby
from pandas.core.frame import DataFrame
from pandas.core.groupby import GroupByError
from pandas.core.series import Series
from pandas.util.testing import (assert_panel_equal, assert_frame_equal,
assert_series_equal, assert_almost_equal)
from pandas.core.panel import Panel
from collections import defaultdict
import pandas._tseries as lib
import pandas.core.datetools as dt
import numpy as np
from pandas import tslib, lib
import pandas._period as period
import datetime
import pandas as pd
from pandas.core.api import (Timestamp, Index, Series, Timedelta, Period,
to_datetime)
from pandas.tslib import get_timezone
from pandas._period import period_asfreq, period_ordinal
from pandas.tseries.index import date_range, DatetimeIndex
from pandas.tseries.frequencies import (
get_freq,
)
import pandas.tseries.tools as tools
import pandas.tseries.offsets as offsets