Retrieving partial keys 'key for key in part...' - Networkx

Question

I'm attempting this tutorial: "Networks on Maps (with Python)"。在原作者的帮助下，我已经完成了大部分工作。它最初是在Python 2.7中创建的，我使用的是3.5。更改包括graphml格式的数据（不是pickle），插入缺少的参数，以及指定G = nx.Graph（）。

我现在陷入了错误：

NameError: name 'part' is not defined.

我有点不确定是否存在2.7-3.5的冲突，如果缺少一个功能？

以下是代码：

import matplotlib.pyplot as plt
import networkx as nx
from mpl_toolkits.basemap import Basemap
import difflib

m = Basemap(projection='robin',lon_0=0,resolution='l')

m.drawcountries(linewidth = 0.5)
m.fillcontinents(color='white',lake_color='white')
m.drawcoastlines(linewidth=0.5)

# load geographic coordinate system for countries
import csv
country = [row[0].strip() for row in csv.reader(open('LonLat.csv'), delimiter=';')]    # clear spaces
lat = [float(row[1]) for row in csv.reader(open('LonLat.csv'), delimiter=';')]
lon = [float(row[2]) for row in csv.reader(open('LonLat.csv'), delimiter=';')]

G=nx.Graph()

# define position in basemap
    position = {}
    for i in range(0, len(country)):
        position[country[i]] = m(lon[i], lat[i])

    def similar(landstring, country):
        l = difflib.get_close_matches(landstring, country, 1)
        return l[0]

    pos = dict((land, position[similar(land, country)]) for land in G.nodes())

    nx.draw_networkx_nodes(G, pos, nodelist = [**key for key in part if part[key] == 0**],
         node_size = [deg_weight[s]*10 for s in part if part[s] == 0],
         node_color = 'red', node_shape='^', alpha=0.8)
         nx.draw_networkx_nodes(G, pos, nodelist = [key for key in part if part[key] == 1],
         node_size = [deg_weight[s]*20 for s in part if part[s] == 1],
         node_color = 'black', node_shape='d')
         nx.draw_networkx_nodes(G, pos, nodelist = [key for key in part if part[key] == 2],
         node_size = [deg_weight[s]*10 for s in part if part[s] == 2],
         node_color = 'green', node_shape='o')
         nx.draw_networkx_nodes(G, pos, nodelist = [key for key in part if part[key] == 3],
         node_size = [deg_weight[s]*10 for s in part if part[s] == 3],
         node_color = 'blue', alpha=0.8)
         nx.draw_networkx_edges(G, pos, color='grey', width = 0.75, alpha=0.2)
         plt.show()

感觉就像这个答案（How to retrieve or iterate over edge keys in python networkx MultiDiGraph），这个答案（Python Tulpe Key For Dict Partial Lookup），这个答案（How to access keys in nodes and edges in NetworkX MultiDiGraph）正指向正确的方向，但我做得不够一个链接。

非常感谢任何输入。我很乐意让它充分发挥作用。

Answer 1

以下代码几乎完全有效。还有一些小问题，例如：地图显示在边缘和节点“上方”，“deg_weight”未定义，但它主要起作用。如果我完全修复，将发布。在这里发帖给任何有兴趣的人。感谢Raphael Heiberger博士的慷慨援助。

#import sys
#sys.version
#'3.5.1 |Anaconda 4.0.0 (64-bit)...

# import modules
import matplotlib.pyplot as plt
import networkx as nx
from mpl_toolkits.basemap import Basemap
import csv
import difflib
import community # https://bitbucket.org/taynaud/python-louvain

# define map
m = Basemap(projection='robin',lon_0=0,resolution='l')
m.drawcountries(linewidth = 0.5)
m.fillcontinents(color='white',lake_color='white')
m.drawcoastlines(linewidth=0.5)

# load geographic coordinates for countries
country = [row[0].strip() for row in csv.reader(open('LonLat.csv'), delimiter=';')]    # clear spaces
lat = [float(row[1]) for row in csv.reader(open('LonLat.csv'), delimiter=';')]
lon = [float(row[2]) for row in csv.reader(open('LonLat.csv'), delimiter=';')]

# load data
G = nx.read_graphml('data.graphml')

# define position in basemap
position = {} 
for i in range(0, len(country)): 
    position[country[i]] = m(lon[i], lat[i])

def similar(landstring, country):
    l = difflib.get_close_matches(landstring, country, 1)
    return l[0]

pos = dict((land, position[similar(land, country)]) for land in G.nodes())

part = community.best_partition(G)

# draw graph
nx.draw_networkx_nodes(G, pos, nodelist = [key for key in part if part[key] == 0], 
                       node_size = [deg_weight[s]*10 for s in part if part[s] == 0], 
                       node_color = 'red', node_shape='^', alpha=0.8)
nx.draw_networkx_nodes(G, pos, nodelist = [key for key in part if part[key] == 1], 
                       node_size = [deg_weight[s]*20 for s in part if part[s] == 1],
                       node_color = 'black', node_shape='d')
nx.draw_networkx_nodes(G, pos, nodelist = [key for key in part if part[key] == 2],
                       node_size = [deg_weight[s]*10 for s in part if part[s] == 2],
                       node_color = 'green', node_shape='o')
nx.draw_networkx_nodes(G, pos, nodelist = [key for key in part if part[key] == 3],
                       node_size = [deg_weight[s]*10 for s in part if part[s] == 3],
                       node_color = 'blue', alpha=0.8)
nx.draw_networkx_edges(G, pos, color='grey', width = 0.75, alpha=0.2)

#print/generate plot
plt.show()