bamboost/Index/_filtering

bamboost.index._filtering

Source: https://gitlab.com/cmbm-ethz/bamboost/-/blob/next/bamboost/index/_filtering.py

Attributes

Operand=typing.Union['_Key', 'Operator', str, float, int]

Functions

add_operators(cls)

Arguments:

cls

Classes

_SupportsOperators

_SupportsOperators.__truediv__(self, other) -> 'Operator'

Arguments:

other:Operand

_SupportsOperators.__mul__(self, other) -> 'Operator'

Arguments:

other:Operand

_SupportsOperators.__sub__(self, other) -> 'Operator'

Arguments:

other:Operand

_SupportsOperators.__add__(self, other) -> 'Operator'

Arguments:

other:Operand

_SupportsOperators.__ge__(self, other) -> 'Operator'

Arguments:

other:Operand

_SupportsOperators.__gt__(self, other) -> 'Operator'

Arguments:

other:Operand

_SupportsOperators.__ne__(self, other) -> 'Operator'

Arguments:

other:Operand

_SupportsOperators.__eq__(self, other) -> 'Operator'

Arguments:

other:Operand

_SupportsOperators.__le__(self, other) -> 'Operator'

Arguments:

other:Operand

_SupportsOperators.__lt__(self, other) -> 'Operator'

Arguments:

other:Operand

Operator

Operator(self, op, a, b=None)

Arguments:

op
a
b=None

Attributes:

_op=bamboost.index._filtering.Operator(op)
_a=bamboost.index._filtering.Operator(a)
_b=bamboost.index._filtering.Operator(b)

Bases

_SupportsOperators10

Operator.__repr__(self) -> str

Operator.evaluate(self, item) -> bool

Arguments:

item:dict

_Key

_Key(self, key) -> None

Arguments:

key:str

Attributes:

_value=bamboost.index._filtering._Key(key)

Bases

_SupportsOperators10

_Key.__repr__(self) -> str

Filter

Filter(self, *operators) -> None

Filter applied to a collection.

Arguments:

operators:Operator=()

Attributes:

_ops:typing.Sequence[Operator]=bamboost.index._filtering.Filter(operators)

Filter.__repr__(self) -> str

Filter.__and__(self, other) -> Filter

Arguments:

other:Filter | None

Filter.apply(self, df) -> DataFrame | Series | Any

Arguments:

df:pandas.DataFrame

xdmf

Previous Page

base

Indexing of bamboost collections and their simulations/parameters. SQLAlchemy is used to interact with the SQLite database.