Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/networkx/readwrite/json_graph/adjacency.py @ 0:4f3585e2f14b draft default tip
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author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |
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1 from itertools import chain |
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2 import networkx as nx |
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3 |
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4 __all__ = ["adjacency_data", "adjacency_graph"] |
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5 |
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6 _attrs = dict(id="id", key="key") |
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7 |
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8 |
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9 def adjacency_data(G, attrs=_attrs): |
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10 """Returns data in adjacency format that is suitable for JSON serialization |
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11 and use in Javascript documents. |
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12 |
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13 Parameters |
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14 ---------- |
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15 G : NetworkX graph |
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16 |
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17 attrs : dict |
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18 A dictionary that contains two keys 'id' and 'key'. The corresponding |
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19 values provide the attribute names for storing NetworkX-internal graph |
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20 data. The values should be unique. Default value: |
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21 :samp:`dict(id='id', key='key')`. |
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22 |
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23 If some user-defined graph data use these attribute names as data keys, |
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24 they may be silently dropped. |
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25 |
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26 Returns |
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27 ------- |
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28 data : dict |
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29 A dictionary with adjacency formatted data. |
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30 |
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31 Raises |
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32 ------ |
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33 NetworkXError |
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34 If values in attrs are not unique. |
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35 |
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36 Examples |
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37 -------- |
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38 >>> from networkx.readwrite import json_graph |
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39 >>> G = nx.Graph([(1, 2)]) |
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40 >>> data = json_graph.adjacency_data(G) |
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41 |
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42 To serialize with json |
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43 |
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44 >>> import json |
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45 >>> s = json.dumps(data) |
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46 |
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47 Notes |
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48 ----- |
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49 Graph, node, and link attributes will be written when using this format |
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50 but attribute keys must be strings if you want to serialize the resulting |
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51 data with JSON. |
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52 |
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53 The default value of attrs will be changed in a future release of NetworkX. |
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54 |
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55 See Also |
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56 -------- |
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57 adjacency_graph, node_link_data, tree_data |
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58 """ |
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59 multigraph = G.is_multigraph() |
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60 id_ = attrs["id"] |
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61 # Allow 'key' to be omitted from attrs if the graph is not a multigraph. |
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62 key = None if not multigraph else attrs["key"] |
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63 if id_ == key: |
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64 raise nx.NetworkXError("Attribute names are not unique.") |
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65 data = {} |
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66 data["directed"] = G.is_directed() |
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67 data["multigraph"] = multigraph |
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68 data["graph"] = list(G.graph.items()) |
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69 data["nodes"] = [] |
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70 data["adjacency"] = [] |
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71 for n, nbrdict in G.adjacency(): |
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72 data["nodes"].append(dict(chain(G.nodes[n].items(), [(id_, n)]))) |
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73 adj = [] |
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74 if multigraph: |
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75 for nbr, keys in nbrdict.items(): |
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76 for k, d in keys.items(): |
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77 adj.append(dict(chain(d.items(), [(id_, nbr), (key, k)]))) |
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78 else: |
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79 for nbr, d in nbrdict.items(): |
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80 adj.append(dict(chain(d.items(), [(id_, nbr)]))) |
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81 data["adjacency"].append(adj) |
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82 return data |
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83 |
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84 |
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85 def adjacency_graph(data, directed=False, multigraph=True, attrs=_attrs): |
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86 """Returns graph from adjacency data format. |
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87 |
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88 Parameters |
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89 ---------- |
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90 data : dict |
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91 Adjacency list formatted graph data |
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92 |
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93 Returns |
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94 ------- |
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95 G : NetworkX graph |
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96 A NetworkX graph object |
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97 |
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98 directed : bool |
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99 If True, and direction not specified in data, return a directed graph. |
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100 |
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101 multigraph : bool |
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102 If True, and multigraph not specified in data, return a multigraph. |
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103 |
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104 attrs : dict |
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105 A dictionary that contains two keys 'id' and 'key'. The corresponding |
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106 values provide the attribute names for storing NetworkX-internal graph |
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107 data. The values should be unique. Default value: |
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108 :samp:`dict(id='id', key='key')`. |
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109 |
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110 Examples |
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111 -------- |
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112 >>> from networkx.readwrite import json_graph |
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113 >>> G = nx.Graph([(1, 2)]) |
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114 >>> data = json_graph.adjacency_data(G) |
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115 >>> H = json_graph.adjacency_graph(data) |
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116 |
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117 Notes |
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118 ----- |
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119 The default value of attrs will be changed in a future release of NetworkX. |
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120 |
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121 See Also |
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122 -------- |
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123 adjacency_graph, node_link_data, tree_data |
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124 """ |
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125 multigraph = data.get("multigraph", multigraph) |
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126 directed = data.get("directed", directed) |
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127 if multigraph: |
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128 graph = nx.MultiGraph() |
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129 else: |
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130 graph = nx.Graph() |
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131 if directed: |
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132 graph = graph.to_directed() |
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133 id_ = attrs["id"] |
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134 # Allow 'key' to be omitted from attrs if the graph is not a multigraph. |
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135 key = None if not multigraph else attrs["key"] |
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136 graph.graph = dict(data.get("graph", [])) |
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137 mapping = [] |
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138 for d in data["nodes"]: |
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139 node_data = d.copy() |
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140 node = node_data.pop(id_) |
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141 mapping.append(node) |
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142 graph.add_node(node) |
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143 graph.nodes[node].update(node_data) |
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144 for i, d in enumerate(data["adjacency"]): |
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145 source = mapping[i] |
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146 for tdata in d: |
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147 target_data = tdata.copy() |
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148 target = target_data.pop(id_) |
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149 if not multigraph: |
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150 graph.add_edge(source, target) |
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151 graph[source][target].update(tdata) |
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152 else: |
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153 ky = target_data.pop(key, None) |
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154 graph.add_edge(source, target, key=ky) |
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155 graph[source][target][ky].update(tdata) |
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156 return graph |