def repeat(self, n, keys=None):
"""See `vectorbt.base.reshape_fns.repeat`.
Use `keys` as the outermost level."""
repeated = reshape_fns.repeat(self._obj, n, axis=1)
if keys is not None:
new_columns = index_fns.combine_indexes(self.columns, keys)
return self.wrap(repeated.values, columns=new_columns)
return repeated
def repeat(self, n, keys=None, axis=1):
"""See `vectorbt.base.reshape_fns.repeat`.
Set `axis` to 1 for columns and 0 for index.
Use `keys` as the outermost level."""
repeated = reshape_fns.repeat(self._obj, n, axis=axis)
if keys is not None:
if axis == 1:
new_columns = index_fns.combine_indexes(self.wrapper.columns, keys)
return repeated.vbt.wrapper.wrap(repeated.values, columns=new_columns)
else:
new_index = index_fns.combine_indexes(self.wrapper.index, keys)
return repeated.vbt.wrapper.wrap(repeated.values, index=new_index)
return repeated
def repeat(self, n: int, keys: tp.Optional[tp.IndexLike] = None, axis: int = 1,
wrap_kwargs: tp.KwargsLike = None) -> tp.SeriesFrame:
"""See `vectorbt.base.reshape_fns.repeat`.
Set `axis` to 1 for columns and 0 for index.
Use `keys` as the outermost level."""
repeated = reshape_fns.repeat(self.obj, n, axis=axis)
if keys is not None:
if axis == 1:
new_columns = index_fns.combine_indexes([self.wrapper.columns, keys])
return ArrayWrapper.from_obj(repeated).wrap(
repeated.values, **merge_dicts(dict(columns=new_columns), wrap_kwargs))
else:
new_index = index_fns.combine_indexes([self.wrapper.index, keys])
return ArrayWrapper.from_obj(repeated).wrap(
repeated.values, **merge_dicts(dict(index=new_index), wrap_kwargs))
return repeated
