ó
 ,µ[c           @   sÂ   d  Z  d d l j Z d d l Z d d l Z d Z d Z	 e j
 e e	  Z e j e  Z e j j e j  Z d e e  f GHd e e  f GHe j e d d e j d	 d
  e j   d S(   sa   
===========
Eigenvalues
===========

Create an G{n,m} random graph and compute the eigenvalues.
i˙˙˙˙Niè  i  s   Largest eigenvalue:s   Smallest eigenvalue:t   binsid   i    i   (   t   __doc__t   matplotlib.pyplott   pyplott   pltt   networkxt   nxt   numpy.linalgt   numpyt   nt   mt   gnm_random_grapht   Gt   normalized_laplacian_matrixt   Lt   linalgt   eigvalst   At   et   maxt   mint   histt   xlimt   show(    (    (    s<   share/doc/networkx-2.2/examples/advanced/plot_eigenvalues.pyt   <module>   s   