#!/usr/bin/env python
# coding: utf-8
# #### New to Plotly?
# Plotly's Python library is free and open source! [Get started](https://plotly.com/python/getting-started/) by downloading the client and [reading the primer](https://plotly.com/python/getting-started/).
# You can set up Plotly to work in [online](https://plotly.com/python/getting-started/#initialization-for-online-plotting) or [offline](https://plotly.com/python/getting-started/#initialization-for-offline-plotting) mode, or in [jupyter notebooks](https://plotly.com/python/getting-started/#start-plotting-online).
# We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started!
# #### Basic Tree-Plot in Plotly with [igraph](http://igraph.org/python/)
# In[3]:
import plotly.plotly as py
import plotly.graph_objs as go
import igraph
from igraph import *
igraph.__version__
# #### Set Up Tree with [igraph](http://igraph.org/python/)
# In[4]:
nr_vertices = 25
v_label = map(str, range(nr_vertices))
G = Graph.Tree(nr_vertices, 2) # 2 stands for children number
lay = G.layout('rt')
position = {k: lay[k] for k in range(nr_vertices)}
Y = [lay[k][1] for k in range(nr_vertices)]
M = max(Y)
es = EdgeSeq(G) # sequence of edges
E = [e.tuple for e in G.es] # list of edges
L = len(position)
Xn = [position[k][0] for k in range(L)]
Yn = [2*M-position[k][1] for k in range(L)]
Xe = []
Ye = []
for edge in E:
Xe+=[position[edge[0]][0],position[edge[1]][0], None]
Ye+=[2*M-position[edge[0]][1],2*M-position[edge[1]][1], None]
labels = v_label
# #### Create Plotly Traces
# In[5]:
lines = go.Scatter(x=Xe,
y=Ye,
mode='lines',
line=dict(color='rgb(210,210,210)', width=1),
hoverinfo='none'
)
dots = go.Scatter(x=Xn,
y=Yn,
mode='markers',
name='',
marker=dict(symbol='dot',
size=18,
color='#6175c1', #'#DB4551',
line=dict(color='rgb(50,50,50)', width=1)
),
text=labels,
hoverinfo='text',
opacity=0.8
)
# #### Create Text Inside the Circle via Annotations
# In[6]:
def make_annotations(pos, text, font_size=10, font_color='rgb(250,250,250)'):
L=len(pos)
if len(text)!=L:
raise ValueError('The lists pos and text must have the same len')
annotations = go.Annotations()
for k in range(L):
annotations.append(
go.Annotation(
text=labels[k], # or replace labels with a different list for the text within the circle
x=pos[k][0], y=2*M-position[k][1],
xref='x1', yref='y1',
font=dict(color=font_color, size=font_size),
showarrow=False)
)
return annotations
# #### Add Axis Specifications and Create the Layout
# In[7]:
axis = dict(showline=False, # hide axis line, grid, ticklabels and title
zeroline=False,
showgrid=False,
showticklabels=False,
)
layout = dict(title= 'Tree with Reingold-Tilford Layout',
annotations=make_annotations(position, v_label),
font=dict(size=12),
showlegend=False,
xaxis=go.XAxis(axis),
yaxis=go.YAxis(axis),
margin=dict(l=40, r=40, b=85, t=100),
hovermode='closest',
plot_bgcolor='rgb(248,248,248)'
)
# #### Plot!
# In[8]:
data=go.Data([lines, dots])
fig=dict(data=data, layout=layout)
fig['layout'].update(annotations=make_annotations(position, v_label))
py.iplot(fig, filename='Tree-Reingold-Tilf')
# #### Reference
# See https://plotly.com/python/reference/ for more information and chart attribute options and http://igraph.org/python/ for more information about the igraph package!
# In[1]:
from IPython.display import display, HTML
display(HTML(''))
display(HTML(''))
get_ipython().system(' pip install git+https://github.com/plotly/publisher.git --upgrade')
import publisher
publisher.publish(
'tree-plot.ipynb', 'python/tree-plots/', 'Python Tree-plots | plotly',
'How to make interactive tree-plot in Python with Plotly. '
'An examples of a tree-plot in Plotly.',
title = 'Python Tree-plots | plotly',
name = 'Tree-plots',
thumbnail='thumbnail/treeplot.jpg', language='python',
page_type='example_index', has_thumbnail='true', display_as='statistical', order=10.5,
ipynb= '~notebook_demo/28')
# In[ ]: