def __init__(self, obj, **kwargs):
if not checks.is_pandas(obj): # parent accessor
obj = obj._obj
checks.assert_dtype(obj, np.bool)
GenericAccessor.__init__(self, obj, **kwargs)
def __init__(self, obj: tp.SeriesFrame, **kwargs) -> None:
if not checks.is_pandas(obj): # parent accessor
obj = obj._obj
checks.assert_dtype(obj, np.bool_)
GenericAccessor.__init__(self, obj, **kwargs)
def __init__(self, obj, year_freq=None, **kwargs):
if not checks.is_pandas(obj): # parent accessor
obj = obj._obj
GenericAccessor.__init__(self, obj, **kwargs)
# Set year frequency
self._year_freq = year_freq
def __init__(self,
obj: tp.SeriesFrame,
year_freq: tp.Optional[tp.FrequencyLike] = None,
**kwargs) -> None:
if not checks.is_pandas(obj): # parent accessor
obj = obj._obj
GenericAccessor.__init__(self, obj, **kwargs)
# Set year frequency
self._year_freq = year_freq
def empty(cls, *args, fill_value=False, **kwargs):
"""`vectorbt.base.accessors.BaseAccessor.empty` with `fill_value=False`.
## Example
```python-repl
>>> pd.Series.vbt.signals.empty(5, index=sig.index, name=sig['a'].name)
2020-01-01 False
2020-01-02 False
2020-01-03 False
2020-01-04 False
2020-01-05 False
Name: a, dtype: bool
>>> pd.DataFrame.vbt.signals.empty((5, 3), index=sig.index, columns=sig.columns)
a b c
2020-01-01 False False False
2020-01-02 False False False
2020-01-03 False False False
2020-01-04 False False False
2020-01-05 False False False
```
"""
return GenericAccessor.empty(*args,
fill_value=fill_value,
dtype=bool,
**kwargs)
def empty_like(cls, *args, fill_value=False, **kwargs):
"""`vectorbt.base.accessors.BaseAccessor.empty_like` with `fill_value=False`.
## Example
```python-repl
>>> pd.Series.vbt.signals.empty_like(sig['a'])
2020-01-01 False
2020-01-02 False
2020-01-03 False
2020-01-04 False
2020-01-05 False
Name: a, dtype: bool
>>> pd.DataFrame.vbt.signals.empty_like(sig)
a b c
2020-01-01 False False False
2020-01-02 False False False
2020-01-03 False False False
2020-01-04 False False False
2020-01-05 False False False
```
"""
return GenericAccessor.empty_like(*args,
fill_value=fill_value,
dtype=bool,
**kwargs)
