Python networkx.read_yaml方法代碼示例

# 需要導入模塊: import networkx [as 別名]
# 或者: from networkx import read_yaml [as 別名]
def read_graph(self, subgraph_file=None):
        if subgraph_file is None:
            subraph_file = self.context_graph_file
        logging.info("Writing graph.")
        # write the graph out
        file_format = subgraph_file.split(".")[-1]
        if file_format == "graphml":
            return nx.read_graphml(subgraph_file)
        elif file_format == "gml":
            return nx.read_gml(subgraph_file)
        elif file_format == "gexf":
            return nx.read_gexf(subgraph_file)
        elif file_format == "net":
            return nx.read_pajek(subgraph_file)
        elif file_format == "yaml":
            return nx.read_yaml(subgraph_file)
        elif file_format == "gpickle":
            return nx.read_gpickle(subgraph_file)
        else:
            logging.warning("File format not found, returning empty graph.")
        return nx.MultiDiGraph() 

# 需要導入模塊: import networkx [as 別名]
# 或者: from networkx import read_yaml [as 別名]
def graph_generator(model, graph_param, save_path, file_name):
    graph_param[0] = int(graph_param[0])
    if model == 'ws':
        graph_param[1] = int(graph_param[1])
        graph = nx.random_graphs.connected_watts_strogatz_graph(*graph_param)
    elif model == 'er':
        graph = nx.random_graphs.erdos_renyi_graph(*graph_param)
    elif model == 'ba':
        graph_param[1] = int(graph_param[1])
        graph = nx.random_graphs.barabasi_albert_graph(*graph_param)

    if os.path.isfile(save_path + '/' + file_name + '.yaml') is True:
        print('graph loaded')
        dgraph = nx.read_yaml(save_path + '/' + file_name + '.yaml')

    else:
        dgraph = nx.DiGraph()
        dgraph.add_nodes_from(graph.nodes)
        dgraph.add_edges_from(graph.edges)

    in_node = []
    out_node = []
    for indeg, outdeg in zip(dgraph.in_degree, dgraph.out_degree):
        if indeg[1] == 0:
            in_node.append(indeg[0])
        elif outdeg[1] == 0:
            out_node.append(outdeg[0])
    # print(in_node, out_node)
    sorted = list(nx.topological_sort(dgraph))
    # nx.draw(dgraph)
    # plt.draw()
    # plt.show()

    if os.path.isdir(save_path) is False:
        os.makedirs(save_path)

    if os.path.isfile(save_path + '/' + file_name + '.yaml') is False:
        print('graph_saved')
        nx.write_yaml(dgraph, save_path + '/' + file_name + '.yaml')

    return dgraph, sorted, in_node, out_node 

# 需要導入模塊: import networkx [as 別名]
# 或者: from networkx import read_yaml [as 別名]
def read_yaml(path):
    """Read graph in YAML format from path.

    YAML is a data serialization format designed for human readability 
    and interaction with scripting languages [1]_.

    Parameters
    ----------
    path : file or string
       File or filename to read.  Filenames ending in .gz or .bz2 
       will be uncompressed.

    Returns
    -------
    G : NetworkX graph

    Examples
    --------
    >>> G=nx.path_graph(4)
    >>> nx.write_yaml(G,'test.yaml')
    >>> G=nx.read_yaml('test.yaml')
 
    References
    ----------
    .. [1] http://www.yaml.org

    """
    try:
        import yaml
    except ImportError:
        raise ImportError("read_yaml() requires PyYAML: http://pyyaml.org/")

    G=yaml.load(path)
    return G


# fixture for nose tests 

# 需要導入模塊: import networkx [as 別名]
# 或者: from networkx import read_yaml [as 別名]
def assert_equal(self, G, data=False):
        (fd, fname) = tempfile.mkstemp()
        nx.write_yaml(G, fname)
        Gin = nx.read_yaml(fname);

        assert_nodes_equal(G.nodes(), Gin.nodes())
        assert_edges_equal(G.edges(data=data), Gin.edges(data=data))

        os.close(fd)
        os.unlink(fname) 

# 需要導入模塊: import networkx [as 別名]
# 或者: from networkx import read_yaml [as 別名]
def read_yaml(path):
    """Read graph in YAML format from path.

    YAML is a data serialization format designed for human readability 
    and interaction with scripting languages [1]_.

    Parameters
    ----------
    path : file or string
       File or filename to read.  Filenames ending in .gz or .bz2 
       will be uncompressed.

    Returns
    -------
    G : NetworkX graph

    Examples
    --------
    >>> G=nx.path_graph(4)
    >>> nx.write_yaml(G,'test.yaml')
    >>> G=nx.read_yaml('test.yaml')

    References
    ----------
    .. [1] http://www.yaml.org

    """
    try:
        import yaml
    except ImportError:
        raise ImportError("read_yaml() requires PyYAML: http://pyyaml.org/")

    G = yaml.load(path, Loader=yaml.FullLoader)
    return G


# fixture for nose tests 

# 需要導入模塊: import networkx [as 別名]
# 或者: from networkx import read_yaml [as 別名]
def assert_equal(self, G, data=False):
        (fd, fname) = tempfile.mkstemp()
        nx.write_yaml(G, fname)
        Gin = nx.read_yaml(fname)

        assert_nodes_equal(list(G), list(Gin))
        assert_edges_equal(G.edges(data=data), Gin.edges(data=data))

        os.close(fd)
        os.unlink(fname)