本文整理汇总了Python中statsmodels.tools.data._is_structured_ndarray函数的典型用法代码示例。如果您正苦于以下问题：Python _is_structured_ndarray函数的具体用法？Python _is_structured_ndarray怎么用？Python _is_structured_ndarray使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了_is_structured_ndarray函数的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
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)示例2: __init__
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)示例3: _get_yarr
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()示例4: _get_xarr
def _get_xarr(self, exog):
if data_util._is_structured_ndarray(exog):
exog = data_util.struct_to_ndarray(exog)
return np.asarray(exog)示例5: _get_yarr
def _get_yarr(self, endog):
if data_util._is_structured_ndarray(endog):
endog = data_util.struct_to_ndarray(endog)
return np.asarray(endog).squeeze()