plexgis.components.core.utils

cycle_unwrapped_optional(objs: Optional[Iterable[Union[plexgis.components.core.types.T, plexgis.components.core.types.Wrapped[plexgis.components.core.types.T]]]]) → Iterator[Optional[plexgis.components.core.types.T]]

Like cycle_unwrapped, but accepts None as an argument and cycles with None

maybe_unwrap(obj: Union[plexgis.components.core.types.T, plexgis.components.core.types.Wrapped[plexgis.components.core.types.T]]) → plexgis.components.core.types.T

Return the unwrapped representation of an object. If it is already unwrapped, it will simply be returned.

multi_cycle(*objss: Iterable[Union[plexgis.components.core.types.T, plexgis.components.core.types.Wrapped[plexgis.components.core.types.T]]], dominant_index: Optional[int] = None) → Iterator[Tuple[plexgis.components.core.types.T, ...]]

This gets a list of object lists and will return an iterator with each element cycled as needed.

Example:

Input a = [1, 2, 3]; b = [4]; c = [5, 6]

Ouput:

(1, 4, 5) (2, 4, 6) (3, 4, 5)

multi_cycle_unwrapped(*objss: Iterable[Union[plexgis.components.core.types.T, plexgis.components.core.types.Wrapped[plexgis.components.core.types.T]]], dominant_index: Optional[int] = None) → Iterator[Tuple[plexgis.components.core.types.T, ...]]

Like multi_cycle, but returns each element unwrapped

objects_to_series(values)

convert objects to a pandas series

single(objs: Iterable[Union[plexgis.components.core.types.T, plexgis.components.core.types.Wrapped[plexgis.components.core.types.T]]]) → Optional[Union[plexgis.components.core.types.T, plexgis.components.core.types.Wrapped[plexgis.components.core.types.T]]]

Return the first object or None if list is empty

single_or_raise(objs: Iterable[Union[plexgis.components.core.types.T, plexgis.components.core.types.Wrapped[plexgis.components.core.types.T]]]) → Union[plexgis.components.core.types.T, plexgis.components.core.types.Wrapped[plexgis.components.core.types.T]]

Return the first object or raise a ValueError if list is empty