In [1]:

    

%matplotlib inline


    

In [2]:

    

from __future__ import print_function
from ipywidgets import interact


    

In [3]:

    

import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns


    

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from collections import defaultdict
from proxenos.node import SocketAddress
from proxenos.rendezvous import select_node


    

In [5]:

    

cluster = set()
for i in range(10):
    cluster.add(SocketAddress('192.168.100.{}'.format(100 + i), 8000))


    

In [6]:

    

def plt_distribution(n=1000):
    dist = defaultdict(int)
    for i in xrange(n):
        node = select_node(cluster, str(i))
        dist[str(node.host)] += 1
    x, y = zip(*dist.items())
    ax = plt.subplot()
    ax.bar(range(len(x)), y)
    ax.set_xticklabels(x, rotation=90)
    ax.set_xticks(np.arange(len(x)))
    plt.show()


    

In [7]:

    

interact(plt_distribution, n=(100, 10000));