# pylint: disable-msg=W0614,W0401,W0611,W0622 # flake8: noqa __docformat__ = 'restructuredtext' # Let users know if they're missing any of our hard dependencies hard_dependencies = ("numpy", "pytz", "dateutil") missing_dependencies = [] for dependency in hard_dependencies: try: __import__(dependency) except ImportError as e: missing_dependencies.append(dependency) if missing_dependencies: raise ImportError("Missing required dependencies {0}".format(missing_dependencies)) # numpy compat from pandas.compat.numpy import * 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 from pandas.info import __doc__ # 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 # define the testing framework import pandas.util.testing from pandas.util.nosetester import NoseTester test = NoseTester().test del NoseTester # 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