In [1]:

    

from harness import Harness
from toolz.curried import *
import pandas, requests


    

In [2]:

    

get_ = memoize(requests.get)


    

In [3]:

    

df = pandas.io.json.json_normalize(
    get_('https://api.github.com/orgs/jupyter/events').json()
)


    

In [4]:

    

pulls = df[df['type']=='PullRequestEvent'].dropna(axis=1)


    

In [5]:

    

source = 'payload.pull_request.html_url'
target = 'payload.pull_request._links.issue.href'
pulls = pulls[[source, target, 'payload.pull_request.url']]


    

In [6]:

    

pulls = pulls.apply(lambda s: s.str.split('jupyter',1).apply(second), axis=1)


    

In [7]:

    

extensions = [
    'harness.python.ext.base.JinjaExtension',
    'harness.python.ext.SciKit.SciKitExtension', 
    'harness.python.ext.Bokeh.BokehModelsExtension',     
    'harness.python.ext.Bokeh.BokehPlottingExtension',
    'harness.python.ext.Bokeh.BokehChartsExtension',
    'harness.python.tests.NetworkX.NetworkXExtension'
]


    

In [8]:

    

pulls = pulls.pipe(
    Harness, extensions=extensions
).to_graph(source=source, target=target, edge_attr=True)


    

In [9]:

    

%matplotlib inline
pos=pulls.circular_layout()
pulls.draw_networkx_nodes(pos=pos)
pulls.draw_networkx_edges(pos=pos)
pulls.draw_networkx_labels(pos=pos);