List 基于for-loop的网络节点删除

我想使用networkx删除图的节点，并在每次迭代时存储中心性度量。但是我得到了这个错误“字典在迭代过程中改变了大小”

以下是我的尝试：

import copy
GDC = G.copy()
import random
for xn in GDC.nodes():
    RndmSmpl = random.sample(GDC.nodes, 1)
    print(RndmSmpl)

    GDC.remove_nodes_from(RndmSmpl)

    deg = dict(GDC.degree())
    nx.set_node_attributes(GDC,deg, 'degree')

    cc = nx.closeness_centrality(GDC)
    nx.set_node_attributes(GDC , cc , 'Clsns Cntr')

    t = pd.DataFrame.from_dict(dict(GDC.nodes(data=True)), orient = 'index')
    t.sort_values('degree', ascending = False)

    total_deg = t.loc[:, 'degree'].sum()
    total_cc = t.loc[:, 'Clsns Cntr'].sum()
    total_centrality = [len(GDC.nodes()), total_deg , total_dc , total_cc]
    print(total_centrality)