Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/networkx/readwrite/json_graph/tree.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__ = ["tree_data", "tree_graph"] |
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5 |
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6 _attrs = dict(id="id", children="children") |
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7 |
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8 |
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9 def tree_data(G, root, attrs=_attrs): |
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10 """Returns data in tree 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 G must be an oriented tree |
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17 |
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18 root : node |
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19 The root of the tree |
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20 |
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21 attrs : dict |
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22 A dictionary that contains two keys 'id' and 'children'. The |
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23 corresponding values provide the attribute names for storing |
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24 NetworkX-internal graph data. The values should be unique. Default |
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25 value: :samp:`dict(id='id', children='children')`. |
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26 |
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27 If some user-defined graph data use these attribute names as data keys, |
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28 they may be silently dropped. |
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29 |
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30 Returns |
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31 ------- |
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32 data : dict |
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33 A dictionary with node-link formatted data. |
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34 |
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35 Raises |
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36 ------ |
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37 NetworkXError |
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38 If values in attrs are not unique. |
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39 |
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40 Examples |
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41 -------- |
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42 >>> from networkx.readwrite import json_graph |
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43 >>> G = nx.DiGraph([(1, 2)]) |
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44 >>> data = json_graph.tree_data(G, root=1) |
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45 |
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46 To serialize with json |
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47 |
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48 >>> import json |
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49 >>> s = json.dumps(data) |
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50 |
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51 Notes |
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52 ----- |
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53 Node attributes are stored in this format but keys |
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54 for attributes must be strings if you want to serialize with JSON. |
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55 |
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56 Graph and edge attributes are not stored. |
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57 |
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58 The default value of attrs will be changed in a future release of NetworkX. |
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59 |
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60 See Also |
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61 -------- |
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62 tree_graph, node_link_data, node_link_data |
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63 """ |
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64 if G.number_of_nodes() != G.number_of_edges() + 1: |
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65 raise TypeError("G is not a tree.") |
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66 if not G.is_directed(): |
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67 raise TypeError("G is not directed.") |
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68 |
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69 id_ = attrs["id"] |
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70 children = attrs["children"] |
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71 if id_ == children: |
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72 raise nx.NetworkXError("Attribute names are not unique.") |
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73 |
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74 def add_children(n, G): |
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75 nbrs = G[n] |
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76 if len(nbrs) == 0: |
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77 return [] |
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78 children_ = [] |
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79 for child in nbrs: |
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80 d = dict(chain(G.nodes[child].items(), [(id_, child)])) |
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81 c = add_children(child, G) |
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82 if c: |
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83 d[children] = c |
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84 children_.append(d) |
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85 return children_ |
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86 |
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87 data = dict(chain(G.nodes[root].items(), [(id_, root)])) |
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88 data[children] = add_children(root, G) |
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89 return data |
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90 |
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91 |
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92 def tree_graph(data, attrs=_attrs): |
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93 """Returns graph from tree data format. |
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94 |
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95 Parameters |
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96 ---------- |
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97 data : dict |
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98 Tree formatted graph data |
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99 |
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100 Returns |
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101 ------- |
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102 G : NetworkX DiGraph |
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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 'children'. The |
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106 corresponding values provide the attribute names for storing |
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107 NetworkX-internal graph data. The values should be unique. Default |
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108 value: :samp:`dict(id='id', children='children')`. |
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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.DiGraph([(1, 2)]) |
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114 >>> data = json_graph.tree_data(G, root=1) |
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115 >>> H = json_graph.tree_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 tree_graph, node_link_data, adjacency_data |
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124 """ |
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125 graph = nx.DiGraph() |
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126 id_ = attrs["id"] |
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127 children = attrs["children"] |
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128 |
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129 def add_children(parent, children_): |
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130 for data in children_: |
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131 child = data[id_] |
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132 graph.add_edge(parent, child) |
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133 grandchildren = data.get(children, []) |
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134 if grandchildren: |
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135 add_children(child, grandchildren) |
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136 nodedata = { |
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137 str(k): v for k, v in data.items() if k != id_ and k != children |
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138 } |
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139 graph.add_node(child, **nodedata) |
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140 |
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141 root = data[id_] |
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142 children_ = data.get(children, []) |
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143 nodedata = {str(k): v for k, v in data.items() if k != id_ and k != children} |
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144 graph.add_node(root, **nodedata) |
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145 add_children(root, children_) |
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146 return graph |