Skip to main content

An interval tree data structure

Project description

itree

itree is an interval tree data structure based on a self-balancing AVL binary search tree tree. Suitable for use with sequence features in bioinformatics.

Getting Started

  • Construction

Creating an interval tree object:

>>> import itree
>>> t = itree.ITree()
  • Insertion

Any item inserted into an interval tree must contain "start" and "end" attributes as integers.

>>> import collections
>>> i = collections.namedtuple('MyInterval', ['start','end'])
>>> t.insert(i(1,15))
>>> t.insert(i(3,20))
>>> t.insert(i(4,20))
>>> t.insert(i(5,15))
>>> t.insert(i(6,7))
  • Search

Search for all intervals overlapping a given interval

>>> t.search(i(1,4)) 
[MyInterval(start=3, end=20), MyInterval(start=4, end=20), MyInterval(start=1, end=15)]
  • Removal

Remove an interval exactly matching the given interval by its start and end attributes (but not necessarily the same object).

>>> t.pstring()
      ┌–(1,15)
(3,20)
            ┌–(4,20)
      └–(5,15)
            └–(6,7)

>>> t.remove(i(1,15))
>>> t.pstring()
      ┌–(3,20)
            └–(4,20)
(5,15)
      └–(6,7)

The pstring method is mostly for debugging, but here we illustrate the rebalancing of the tree.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

itree-0.0.3.tar.gz (6.5 kB view hashes)

Uploaded Source

Built Distribution

itree-0.0.3-py3-none-any.whl (8.0 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page