ó
 ,µ[c           @   sß  d  Z  d d l j Z d d l Z e j ƒ  Z e j d d d d ƒe j d d d d ƒe j d d	 d d
 ƒe j d d d d ƒe j d d d d ƒe j d d	 d d ƒg  e j	 d e
 ƒ D]+ \ Z Z Z e d d k rÄ e e f ^ qÄ Z g  e j	 d e
 ƒ D]+ \ Z Z Z e d d k re e f ^ qZ e j e ƒ Z e j e e d d ƒe j e e d e d d ƒe j e e d e d d d d d d d d ƒe j e e d d d d ƒe j d ƒ e j ƒ  d S(    s]   
==============
Weighted Graph
==============

An example using Graph as a weighted network.
iÿÿÿÿNt   at   bt   weightg333333ã?t   cgš™™™™™É?t   dgš™™™™™¹?t   egffffffæ?t   fgÍÌÌÌÌÌì?g333333Ó?t   datag      à?t	   node_sizei¼  t   edgelistt   widthi   t   alphat
   edge_colort   stylet   dashedt	   font_sizei   t   font_familys
   sans-serift   off(   t   __doc__t   matplotlib.pyplott   pyplott   pltt   networkxt   nxt   Grapht   Gt   add_edget   edgest   Truet   ut   vR   t   elarget   esmallt   spring_layoutt   post   draw_networkx_nodest   draw_networkx_edgest   draw_networkx_labelst   axist   show(    (    (    s>   share/doc/networkx-2.2/examples/drawing/plot_weighted_graph.pyt   <module>   s(   DD