def __init__(self,
obj: tp.Frame,
column_names: tp.Optional[tp.Dict[str, str]] = None,
**kwargs) -> None:
if not checks.is_pandas(obj): # parent accessor
obj = obj._obj
self._column_names = column_names
GenericDFAccessor.__init__(self, obj, **kwargs)
def __init__(self,
obj: tp.Frame,
year_freq: tp.Optional[tp.FrequencyLike] = None,
**kwargs) -> None:
if not checks.is_pandas(obj): # parent accessor
obj = obj._obj
GenericDFAccessor.__init__(self, obj, **kwargs)
ReturnsAccessor.__init__(self, obj, year_freq=year_freq, **kwargs)
def __init__(self, obj, **kwargs):
if not checks.is_pandas(obj): # parent accessor
obj = obj._obj
GenericDFAccessor.__init__(self, obj, **kwargs)
SignalsAccessor.__init__(self, obj, **kwargs)
def __init__(self, obj, column_names=None, **kwargs):
if not checks.is_pandas(obj): # parent accessor
obj = obj._obj
self._column_names = column_names
GenericDFAccessor.__init__(self, obj, **kwargs)
def __init__(self, obj, **kwargs):
self._obj = obj
DirNamesMixin.__init__(self)
GenericDFAccessor.__init__(self, obj, **kwargs)
def __init__(self, obj, year_freq=None, **kwargs):
if not checks.is_pandas(obj): # parent accessor
obj = obj._obj
GenericDFAccessor.__init__(self, obj, **kwargs)
ReturnsAccessor.__init__(self, obj, year_freq=year_freq, **kwargs)
def __init__(self, obj: tp.Frame, column_names: tp.KwargsLike = None, **kwargs) -> None:
self._column_names = column_names
GenericDFAccessor.__init__(self, obj, column_names=column_names, **kwargs)
def __init__(self, obj: tp.Frame, **kwargs) -> None:
self._obj = obj
DirNamesMixin.__init__(self)
GenericDFAccessor.__init__(self, obj, **kwargs)
