ytree.data_structures.detection.SelectionDetector

class ytree.data_structures.detection.SelectionDetector(arbor)

A TreeNode-like object to test select_halos criteria.

__init__(arbor)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(arbor)	Initialize self.
clear()
copy()
fromkeys	Create a new dictionary with keys from iterable and values set to value.
get	Return the value for key if key is in the dictionary, else default.
items()
keys()
pop(k[,d])	If key is not found, d is returned if given, otherwise KeyError is raised
popitem	Remove and return a (key, value) pair as a 2-tuple.
setdefault	Insert key with a value of default if key is not in the dictionary.
update([E, ]**F)	If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
values()

Attributes

default_factory

Factory for default value called by __missing__().