Toytree

Tree plotting with Toytree in Python

Welcome to toytree, a Python library for tree object data parsing, visualization, manipulation, and numerical and evolutionary analyses. If you are new to toytree, head to the User Guide to see examples and learn about its features.

The goal of toytree is to provide a light-weight Python equivalent to widely used tree analysis and plotting libraries in R, and in doing so, to promote further development of phylogenetic and evolutionary analysis methods in Python.

Toytree generates rich interactive figures (SVG+HTML+JS) that render in jupyter-notebooks or webpages, and can be exported as high quality SVG, PDF, or PNG figures for publications. The library is minimal dependencies, is easy to install, and can be easily incorporated into other projects.

Current release info

Name	Downloads	Version	Platforms

Installing toytree

Toytree can be installed using conda or pip (conda preferred):

conda install toytree -c conda-forge

It is possible to list all of the versions of toytree available on your platform with:

conda search toytree --channel conda-forge

Documentation

See the full documentation at http://eaton-lab.org/toytree.

Example code

# import toyplot and load a newick file from a public URL
import toytree
tre = toytree.tree("https://eaton-lab.org/data/Cyathophora.tre")

# root the tree using a wildcard string matching and draw a tree figure.
rtre = tre.root('~prz')
rtre.draw(width=400, tip_labels_align=True);

# or chain a few functions together
tre.root('~prz').drop_tips("~tham").ladderize().draw();

# extensive styling options are available
rtre.draw(
    tip_labels_colors='pink',
    node_labels='support',
    node_sizes=15,
    node_colors="cyan",
    edge_style={
        "stroke": "darkgrey", 
        "stroke-width": 3,
    },
)

Example plots