Created
March 21, 2017 10:13
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#!/usr/bin/env python | |
"""Script to plot trees with ASR using ete3.""" | |
import argparse | |
import sys | |
import pandas | |
import ete3 | |
def main(args): | |
"""Run the CLI.""" | |
parser = argparse.ArgumentParser( | |
description="Squish covarion ancestral state reconstructions") | |
parser.add_argument( | |
"tree", | |
nargs="?", | |
type=argparse.FileType("r"), | |
default=sys.stdin, | |
help="The tree file with covarion ancestral states.") | |
parser.add_argument( | |
"--plot", | |
action='append', | |
default=[], | |
help="Which feature(s) to plot") | |
parser.add_argument( | |
"--component-string", | |
default="recon_lexicon{feature:}_component{component:}", | |
help="""Python format string to translate the feature name and component | |
number into a compontent string.""") | |
parser.add_argument( | |
"--data", | |
type=argparse.FileType("r"), | |
help="Original data file for highlighting tips as “given”") | |
parser.add_argument( | |
"--strip", | |
default=",:()[] ", | |
help="Strip these characters from feature names for the tree") | |
args = parser.parse_args(args) | |
if args.data: | |
data = pandas.read_csv( | |
args.data, | |
sep="\t") | |
data = {feature: set(values["Language_ID"]) | |
for feature, values in data.groupby("Feature_ID")} | |
else: | |
data = {} | |
tree = ete3.Tree(args.tree.read()) | |
def formatter(feature, component, strip=args.strip): | |
for s in args.strip: | |
feature = feature.replace(s, "") | |
return args.component_string.format(feature=feature, | |
component=component) | |
for meaning in args.plot: | |
plot_asr( | |
meaning, tree.copy(), | |
data.get(meaning, []), | |
formatter) | |
colors = ['#a6cee3', '#1f78b4', '#b2df8a', '#33a02c', '#fb9a99', | |
'#e31a1c', '#fdbf6f', '#ff7f00', '#cab2d6', '#6a3d9a', | |
'#ffff99', '#b15928', '#000000', '#dddddd', '#ff2222', | |
'#22ff22', '#2222ff', '#444444', '#888888', "#ff0000", | |
"#ffff00", "#00ff00", "#00ffff", "#0000ff", "#ff00ff", | |
"#770000", "#777700", "#007700", "#007777", "#000077", | |
"#770077",] | |
def plot_face(sequence, scale=10, colors=colors, line=False): | |
"""Generate a StackedBarFace for the binarized features.""" | |
x = sum(sequence) | |
return ete3.StackedBarFace( | |
[s*100/x for s in sequence], | |
scale*x, | |
scale, | |
colors=colors, | |
line_color="#000000" if line else None) | |
def plot_asr(item, tree, | |
sure_tips=[], | |
formatter="recon_lexicon{feature:}_component{component:}", | |
colors=colors): | |
"""Plot the ancestral state reconstruction of item according to tree.""" | |
ts = ete3.TreeStyle() | |
ts.title.add_face(ete3.TextFace(item, fsize=20), column=0) | |
c_max = 0 | |
for node in tree.traverse('preorder'): | |
if c_max == 0: | |
frequencies = [] | |
# Obtain the size of the feature | |
while hasattr(node, formatter( | |
feature=item, component=c_max)): | |
frequencies.append(float(getattr(node, formatter( | |
feature=item, component=c_max)))) | |
c_max += 1 | |
else: | |
try: | |
frequencies = [ | |
float(getattr(node, formatter( | |
feature=item, component=c))) | |
for c in range(c_max)] | |
except AttributeError: | |
node.set_style(ete3.NodeStyle(size=0)) | |
continue | |
if node.is_leaf() and node.name in sure_tips: | |
node.add_face( | |
plot_face(frequencies, colors=colors, line=True), | |
column=0, position='float') | |
else: | |
node.add_face( | |
plot_face(frequencies, colors=colors), | |
column=0, position='float') | |
node.set_style(ete3.NodeStyle(size=0)) | |
ts.title.add_face(plot_face([1 for _ in frequencies], scale=20), column=0) | |
tree.render("tree_{:}.pdf".format(item.format("")), tree_style=ts) | |
if __name__ == "__main__": | |
main(sys.argv[1:]) |
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