from typing import Sequence
import pandas as pd
from pandas.api import types as pdt
from visions.relations import IdentityRelation, InferenceRelation, TypeRelation
from visions.types.float import string_is_float
from visions.types.type import VisionsBaseType
from visions.utils.coercion import test_utils
def test_imaginary_in_string(
series: pd.Series, imaginary_indicator: tuple = ("j", "i")
):
return any(any(v in s for v in imaginary_indicator) for s in series)
def string_is_complex(series, state: dict) -> bool:
def f(s):
return s.apply(complex)
coerced_series = test_utils.option_coercion_evaluator(f)(series)
return (
coerced_series is not None
and not string_is_float(series, state)
and test_imaginary_in_string(series)
)
def to_complex(series: pd.Series, state: dict) -> bool:
return series.apply(complex)
def _get_relations(cls) -> Sequence[TypeRelation]:
from visions.types import Generic, String
relations = [
IdentityRelation(cls, Generic),
InferenceRelation(
cls, String, relationship=string_is_complex, transformer=to_complex
),
]
return relations
[docs]class Complex(VisionsBaseType):
"""**Complex** implementation of :class:`visions.types.type.VisionsBaseType`.
Examples:
>>> import numpy as np
>>> x = pd.Series([np.complex(0, 0), np.complex(1, 2), np.complex(3, -1), np.nan])
>>> x in visions.Complex
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_complex_dtype(series)