content: 
  # pylint: disable=W0614,W0401,W0611
  # flake8: noqa
  
  import numpy as np
  
  from pandas.core.algorithms import factorize, unique, value_counts
  from pandas.core.dtypes.missing import isna, isnull, notna, notnull
  from pandas.core.categorical import Categorical
  from pandas.core.groupby import Grouper
  from pandas.io.formats.format import set_eng_float_format
  from pandas.core.index import (Index, CategoricalIndex, Int64Index,
                                 UInt64Index, RangeIndex, Float64Index,
                                 MultiIndex, IntervalIndex,
                                 TimedeltaIndex, DatetimeIndex,
                                 PeriodIndex, NaT)
  from pandas.core.indexes.period import Period, period_range, pnow
  from pandas.core.indexes.timedeltas import Timedelta, timedelta_range
  from pandas.core.indexes.datetimes import Timestamp, date_range, bdate_range
  from pandas.core.indexes.interval import Interval, interval_range
  
  from pandas.core.series import Series
  from pandas.core.frame import DataFrame
  from pandas.core.panel import Panel, WidePanel
  from pandas.core.panel4d import Panel4D
  
  # TODO: Remove import when statsmodels updates #18264
  from pandas.core.reshape.reshape import get_dummies
  
  from pandas.core.indexing import IndexSlice
  from pandas.core.tools.numeric import to_numeric
  from pandas.tseries.offsets import DateOffset
  from pandas.core.tools.datetimes import to_datetime
  from pandas.core.tools.timedeltas import to_timedelta
  
  # see gh-14094.
  from pandas.util._depr_module import _DeprecatedModule
  
  _removals = ['day', 'bday', 'businessDay', 'cday', 'customBusinessDay',
               'customBusinessMonthEnd', 'customBusinessMonthBegin',
               'monthEnd', 'yearEnd', 'yearBegin', 'bmonthEnd', 'bmonthBegin',
               'cbmonthEnd', 'cbmonthBegin', 'bquarterEnd', 'quarterEnd',
               'byearEnd', 'week']
  datetools = _DeprecatedModule(deprmod='pandas.core.datetools',
                                removals=_removals)
  
  from pandas.core.config import (get_option, set_option, reset_option,
                                  describe_option, option_context, options)
  
  
  # deprecation, xref #13790
  def match(*args, **kwargs):
  
      import warnings
      warnings.warn("pd.match() is deprecated and will be removed "
                    "in a future version",
                    FutureWarning, stacklevel=2)
      from pandas.core.algorithms import match
      return match(*args, **kwargs)
  
  
  def groupby(*args, **kwargs):
      import warnings
  
      warnings.warn("pd.groupby() is deprecated and will be removed; "
                    "Please use the Series.groupby() or "
                    "DataFrame.groupby() methods",
                    FutureWarning, stacklevel=2)
      return args[0].groupby(*args[1:], **kwargs)
  
  
  # Deprecation: xref gh-16747
  class TimeGrouper(object):
  
      def __new__(cls, *args, **kwargs):
          from pandas.core.resample import TimeGrouper
          import warnings
          warnings.warn("pd.TimeGrouper is deprecated and will be removed; "
                        "Please use pd.Grouper(freq=...)",
                        FutureWarning, stacklevel=2)
          return TimeGrouper(*args, **kwargs)
  