def __init__(self, fname, data, convert_dates=None, encoding="latin-1",
                 byteorder=None):

        self._convert_dates = convert_dates
        # attach nobs, nvars, data, varlist, typlist
        if data_util._is_using_pandas(data, None):
            self._prepare_pandas(data)

        elif data_util._is_array_like(data, None):
            data = np.asarray(data)
            if data_util._is_structured_ndarray(data):
                self._prepare_structured_array(data)
            else:
                if convert_dates is not None:
                    raise ValueError("Not able to convert dates in a plain"
                                     " ndarray.")
                self._prepare_ndarray(data)

        else: # pragma : no cover
            raise ValueError("Type %s for data not understood" % type(data))


        if byteorder is None:
            byteorder = sys.byteorder
        self._byteorder = _set_endianness(byteorder)
        self._encoding = encoding
        self._file = _open_file_binary_write(fname, encoding)

    def __init__(self, fname, data, convert_dates=None, encoding="latin-1",
                 byteorder=None):
        warnings.warn(
            "StataWriter is deprecated as of 0.10.0 and will be removed in a "
            "future version.  Use pandas.DataFrame.to_stata or "
            "pandas.io.stata.StatWriter instead.",
            FutureWarning)

        self._convert_dates = convert_dates
        # attach nobs, nvars, data, varlist, typlist
        if data_util._is_using_pandas(data, None):
            self._prepare_pandas(data)

        elif data_util._is_array_like(data, None):
            data = np.asarray(data)
            if data_util._is_structured_ndarray(data):
                self._prepare_structured_array(data)
            else:
                if convert_dates is not None:
                    raise ValueError("Not able to convert dates in a plain"
                                     " ndarray.")
                self._prepare_ndarray(data)

        else: # pragma : no cover
            raise ValueError("Type %s for data not understood" % type(data))


        if byteorder is None:
            byteorder = sys.byteorder
        self._byteorder = _set_endianness(byteorder)
        self._encoding = encoding
        self._file = get_file_obj(fname, 'wb', encoding)

    def _get_yarr(self, endog):
        if data_util._is_structured_ndarray(endog):
            endog = data_util.struct_to_ndarray(endog)
        endog = np.asarray(endog)
        if len(endog) == 1:  # never squeeze to a scalar
            if endog.ndim == 1:
                return endog
            elif endog.ndim > 1:
                return np.asarray([endog.squeeze()])

        return endog.squeeze()

 def _get_xarr(self, exog):
     if data_util._is_structured_ndarray(exog):
         exog = data_util.struct_to_ndarray(exog)
     return np.asarray(exog)

 def _get_yarr(self, endog):
     if data_util._is_structured_ndarray(endog):
         endog = data_util.struct_to_ndarray(endog)
     return np.asarray(endog).squeeze()