def __init__(self, data, lags, intercept=True): self._data = DataFrame(_combine_rhs(data)) self._p = lags self._columns = self._data.columns self._index = self._data.index self._intercept = intercept
def __init__(self, data, p=1, intercept=True): import scikits.statsmodels.tsa.var as sm_var self._data = DataFrame(_combine_rhs(data)) self._p = p self._columns = self._data.columns self._index = self._data.index self._intercept = intercept
def __init__(self, data, p=1, intercept=True): import warnings warnings.warn("The pandas.stats.var module is deprecated and will be " "removed in a future version. We refer to external packages " "like statsmodels, see some examples here: http://statsmodels.sourceforge.net/stable/vector_ar.html#var", FutureWarning, stacklevel=4) try: import statsmodels.tsa.vector_ar.api as sm_var except ImportError: import scikits.statsmodels.tsa.var as sm_var self._data = DataFrame(_combine_rhs(data)) self._p = p self._columns = self._data.columns self._index = self._data.index self._intercept = intercept
def __init__(self, data, p=1, intercept=True): import warnings warnings.warn( "The pandas.stats.var module is deprecated and will be " "removed in a future version. We refer to external packages " "like statsmodels, see some examples here: http://statsmodels.sourceforge.net/stable/vector_ar.html#var", FutureWarning, stacklevel=4) try: import statsmodels.tsa.vector_ar.api as sm_var except ImportError: import scikits.statsmodels.tsa.var as sm_var self._data = DataFrame(_combine_rhs(data)) self._p = p self._columns = self._data.columns self._index = self._data.index self._intercept = intercept