content: # pylint: disable-msg=W0614,W0401,W0611,W0622
  
  
  __docformat__ = 'restructuredtext'
  
  try:
      from pandas import hashtable, tslib, lib
  except ImportError as e:  # pragma: no cover
      module = str(e).lstrip('cannot import name ')  # hack but overkill to use re
      raise ImportError("C extension: {0} not built. If you want to import "
                        "pandas from the source directory, you may need to run "
                        "'python setup.py build_ext --inplace' to build the C "
                        "extensions first.".format(module))
  
  from datetime import datetime
  import numpy as np
  
  
  # XXX: HACK for NumPy 1.5.1 to suppress warnings
  try:
      np.seterr(all='ignore')
  except Exception:  # pragma: no cover
      pass
  
  # numpy versioning
  from distutils.version import LooseVersion
  _np_version = np.version.short_version
  _np_version_under1p8 = LooseVersion(_np_version) < '1.8'
  _np_version_under1p9 = LooseVersion(_np_version) < '1.9'
  
  
  from pandas.info import __doc__
  
  
  if LooseVersion(_np_version) < '1.7.0':
      raise ImportError('pandas {0} is incompatible with numpy < 1.7.0, '
                        'your numpy version is {1}. Please upgrade numpy to'
                        ' >= 1.7.0 to use pandas version {0}'.format(__version__,
                                                                     _np_version))
  
  # let init-time option registration happen
  import pandas.core.config_init
  
  from pandas.core.api import *
  from pandas.sparse.api import *
  from pandas.stats.api import *
  from pandas.tseries.api import *
  from pandas.io.api import *
  from pandas.computation.api import *
  
  from pandas.tools.merge import merge, concat, ordered_merge
  from pandas.tools.pivot import pivot_table, crosstab
  from pandas.tools.plotting import scatter_matrix, plot_params
  from pandas.tools.tile import cut, qcut
  from pandas.tools.util import to_numeric
  from pandas.core.reshape import melt
  from pandas.util.print_versions import show_versions
  import pandas.util.testing
  
  # use the closest tagged version if possible
  from ._version import get_versions
  v = get_versions()
  __version__ = v.get('closest-tag',v['version'])
  del get_versions, v
  