from typing import Sequence
import pandas as pd
from pandas.api import types as pdt
from visions.relations import IdentityRelation, TypeRelation
from visions.types.type import VisionsBaseType
from visions.utils.series_utils import series_not_empty, series_not_sparse
def _get_relations(cls) -> Sequence[TypeRelation]:
from visions.types import Generic
relations = [IdentityRelation(cls, Generic)]
return relations
pandas_has_string_dtype_flag = hasattr(pdt, "is_string_dtype")
[docs]class Object(VisionsBaseType):
"""**Object** implementation of :class:`visions.types.type.VisionsBaseType`.
Examples:
>>> x = pd.Series(['a', 1, np.nan])
>>> x in visions.Object
True
"""
@classmethod
def get_relations(cls) -> Sequence[TypeRelation]:
return _get_relations(cls)
@classmethod
@series_not_sparse
@series_not_empty
def contains_op(cls, series: pd.Series, state: dict) -> bool:
is_object = pdt.is_object_dtype(series)
if is_object:
ret = True
elif pandas_has_string_dtype_flag:
ret = pdt.is_string_dtype(series) and not pdt.is_categorical_dtype(series)
else:
ret = False
return ret