from typing import List, Sequence
import numpy as np
import pandas as pd
from pandas.api import types as pdt
from visions.relations import IdentityRelation, InferenceRelation, TypeRelation
from visions.types.type import VisionsBaseType
from visions.utils import func_nullable_series_contains
def to_int(series: pd.Series, state: dict) -> pd.Series:
dtype = "Int64" if series.hasnans else np.int64
return series.astype(dtype)
@func_nullable_series_contains
def float_is_int(series: pd.Series, state: dict) -> bool:
def check_equality(series):
try:
if not np.isfinite(series).all():
return False
return series.eq(series.astype(int)).all()
except:
return False
return check_equality(series)
def _get_relations(cls) -> List[TypeRelation]:
from visions.types import Float, Generic
relations = [
IdentityRelation(cls, Generic),
InferenceRelation(cls, Float, relationship=float_is_int, transformer=to_int),
]
return relations
[docs]class Integer(VisionsBaseType):
"""**Integer** implementation of :class:`visions.types.type.VisionsBaseType`.
Examples:
>>> x = pd.Series([1, 2, 3])
>>> x in visions.Integer
True
"""
@classmethod
def get_relations(cls) -> Sequence[TypeRelation]:
return _get_relations(cls)
@classmethod
def contains_op(cls, series: pd.Series, state: dict) -> bool:
return pdt.is_integer_dtype(series)