如何在Python中正确索引元素？

问题描述

我正在尝试实现以下功能来训练神经网络，如下所示：

        # Here I am trying to convert train edges to nx.graph

       data.edge_index = torch.from_numpy(edges(data._train)).long()
        G = nx.Graph()
        edge_numpy = data.edge_index.numpy()
        edge_list = []

        for i in range(data.num_edges):
        edge_list.append(tuple(edge_numpy[:,i]))
    G.add_edges_from(edge_list)
    data.G = G

    # These are nodes from training graph
    nodes = list(G.nodes())

    new = []

    # These are features for the whole graph
    feature = data.x.detach().cpu().numpy()

    # Here the all set is calculated from all nodes in whole graph
    all = get_seedsets(data.num_nodes,c=0.5)
    print(all)..... [array([5,1,2]),array([1])]

    for i in range(len(all)):
        temp_id = all[i]
        specific_features=np.zeros((feature.shape[0],feature.shape[1])

        # Here I am trying to copy features of each node in the all to specific_features
        for v in range(len(nodes)):
            y = nodes.index(v).........*ValueError: 180 is not in list*

            if y in temp_id:
                specific_features[nodes[v]] = feature[y]

但是，我遇到此错误：

V`alueError：180不在列表中*

我该怎么办？

解决方法

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