本文整理汇总了Python中networkx.from_pandas_edgelist方法的典型用法代码示例。如果您正苦于以下问题：Python networkx.from_pandas_edgelist方法的具体用法？Python networkx.from_pandas_edgelist怎么用？Python networkx.from_pandas_edgelist使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类networkx的用法示例。
在下文中一共展示了networkx.from_pandas_edgelist方法的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_from_edgelist
# 需要导入模块: import networkx [as 别名]
# 或者: from networkx import from_pandas_edgelist [as 别名]
def test_from_edgelist(self):
# Pandas DataFrame
g = nx.cycle_graph(10)
G = nx.Graph()
G.add_nodes_from(g)
G.add_weighted_edges_from((u, v, u) for u, v in g.edges())
edgelist = nx.to_edgelist(G)
source = [s for s, t, d in edgelist]
target = [t for s, t, d in edgelist]
weight = [d['weight'] for s, t, d in edgelist]
edges = pd.DataFrame({'source': source,
'target': target,
'weight': weight})
GG = nx.from_pandas_edgelist(edges, edge_attr='weight')
assert_nodes_equal(G.nodes(), GG.nodes())
assert_edges_equal(G.edges(), GG.edges())
GW = nx.to_networkx_graph(edges, create_using=nx.Graph())
assert_nodes_equal(G.nodes(), GW.nodes())
assert_edges_equal(G.edges(), GW.edges()) 示例2: test_from_edgelist
# 需要导入模块: import networkx [as 别名]
# 或者: from networkx import from_pandas_edgelist [as 别名]
def test_from_edgelist(self):
# Pandas DataFrame
g = nx.cycle_graph(10)
G = nx.Graph()
G.add_nodes_from(g)
G.add_weighted_edges_from((u, v, u) for u, v in g.edges())
edgelist = nx.to_edgelist(G)
source = [s for s, t, d in edgelist]
target = [t for s, t, d in edgelist]
weight = [d['weight'] for s, t, d in edgelist]
edges = pd.DataFrame({'source': source,
'target': target,
'weight': weight})
GG = nx.from_pandas_edgelist(edges, edge_attr='weight')
assert_nodes_equal(G.nodes(), GG.nodes())
assert_edges_equal(G.edges(), GG.edges())
GW = nx.to_networkx_graph(edges, create_using=nx.Graph)
assert_nodes_equal(G.nodes(), GW.nodes())
assert_edges_equal(G.edges(), GW.edges()) 示例3: test_from_edgelist_multi_attr
# 需要导入模块: import networkx [as 别名]
# 或者: from networkx import from_pandas_edgelist [as 别名]
def test_from_edgelist_multi_attr(self):
Gtrue = nx.Graph([('E', 'C', {'cost': 9, 'weight': 10}),
('B', 'A', {'cost': 1, 'weight': 7}),
('A', 'D', {'cost': 7, 'weight': 4})])
G = nx.from_pandas_edgelist(self.df, 0, 'b', ['weight', 'cost'])
assert_graphs_equal(G, Gtrue) 示例4: create_from_pd
# 需要导入模块: import networkx [as 别名]
# 或者: from networkx import from_pandas_edgelist [as 别名]
def create_from_pd(self, pd_graph, nx_graph=None, directional=False):
nodes_df = pd_graph.get_nodes()
edges_df = pd_graph.get_edges()
# Create graph from edgelist dataframes
if nx_graph is None:
if directional:
nx_graph = nx.DiGraph()
else:
nx_graph = nx.Graph()
for key in edges_df:
new_graph = nx.from_pandas_edgelist(
edges_df[key], source="Source", target="Target", edge_attr=True)
nx_graph = nx.compose(nx_graph, new_graph)
# Add node attributes
for key in nodes_df:
df = nodes_df[key]
for index, row in df.iterrows():
_id = row["Id"]
node = nx_graph.node[_id]
for attr in row.keys():
node[attr] = row[attr]
return nx_graph 示例5: tnet_to_nx
# 需要导入模块: import networkx [as 别名]
# 或者: from networkx import from_pandas_edgelist [as 别名]
def tnet_to_nx(df, t=None):
"""Creates undirected networkx object"""
if t is not None:
df = get_network_when(df, t=t)
if 'weight' in df.columns:
nxobj = nx.from_pandas_edgelist(
df, source='i', target='j', edge_attr='weight')
else:
nxobj = nx.from_pandas_edgelist(df, source='i', target='j')
return nxobj 示例6: test_from_edgelist_all_attr
# 需要导入模块: import networkx [as 别名]
# 或者: from networkx import from_pandas_edgelist [as 别名]
def test_from_edgelist_all_attr(self):
Gtrue = nx.Graph([('E', 'C', {'cost': 9, 'weight': 10}),
('B', 'A', {'cost': 1, 'weight': 7}),
('A', 'D', {'cost': 7, 'weight': 4})])
G = nx.from_pandas_edgelist(self.df, 0, 'b', True)
assert_graphs_equal(G, Gtrue)
# MultiGraph
MGtrue = nx.MultiGraph(Gtrue)
MGtrue.add_edge('A', 'D', cost=16, weight=4)
MG = nx.from_pandas_edgelist(self.mdf, 0, 'b', True, nx.MultiGraph())
assert_graphs_equal(MG, MGtrue) 示例7: test_from_edgelist_multi_attr_incl_target
# 需要导入模块: import networkx [as 别名]
# 或者: from networkx import from_pandas_edgelist [as 别名]
def test_from_edgelist_multi_attr_incl_target(self):
Gtrue = nx.Graph([('E', 'C', {0: 'C', 'b': 'E', 'weight': 10}),
('B', 'A', {0: 'B', 'b': 'A', 'weight': 7}),
('A', 'D', {0: 'A', 'b': 'D', 'weight': 4})])
G = nx.from_pandas_edgelist(self.df, 0, 'b', [0, 'b', 'weight'])
assert_graphs_equal(G, Gtrue) 示例8: test_from_edgelist_multidigraph_and_edge_attr
# 需要导入模块: import networkx [as 别名]
# 或者: from networkx import from_pandas_edgelist [as 别名]
def test_from_edgelist_multidigraph_and_edge_attr(self):
# example from issue #2374
Gtrue = nx.MultiDiGraph([('X1', 'X4', {'Co': 'zA', 'Mi': 0, 'St': 'X1'}),
('X1', 'X4', {'Co': 'zB', 'Mi': 54, 'St': 'X2'}),
('X1', 'X4', {'Co': 'zB', 'Mi': 49, 'St': 'X3'}),
('X1', 'X4', {'Co': 'zB', 'Mi': 44, 'St': 'X4'}),
('Y1', 'Y3', {'Co': 'zC', 'Mi': 0, 'St': 'Y1'}),
('Y1', 'Y3', {'Co': 'zC', 'Mi': 34, 'St': 'Y2'}),
('Y1', 'Y3', {'Co': 'zC', 'Mi': 29, 'St': 'X2'}),
('Y1', 'Y3', {'Co': 'zC', 'Mi': 24, 'St': 'Y3'}),
('Z1', 'Z3', {'Co': 'zD', 'Mi': 0, 'St': 'Z1'}),
('Z1', 'Z3', {'Co': 'zD', 'Mi': 14, 'St': 'X3'}),
('Z1', 'Z3', {'Co': 'zE', 'Mi': 9, 'St': 'Z2'}),
('Z1', 'Z3', {'Co': 'zE', 'Mi': 4, 'St': 'Z3'})])
df = pd.DataFrame.from_dict({
'O': ['X1', 'X1', 'X1', 'X1', 'Y1', 'Y1', 'Y1', 'Y1', 'Z1', 'Z1', 'Z1', 'Z1'],
'D': ['X4', 'X4', 'X4', 'X4', 'Y3', 'Y3', 'Y3', 'Y3', 'Z3', 'Z3', 'Z3', 'Z3'],
'St': ['X1', 'X2', 'X3', 'X4', 'Y1', 'Y2', 'X2', 'Y3', 'Z1', 'X3', 'Z2', 'Z3'],
'Co': ['zA', 'zB', 'zB', 'zB', 'zC', 'zC', 'zC', 'zC', 'zD', 'zD', 'zE', 'zE'],
'Mi': [0, 54, 49, 44, 0, 34, 29, 24, 0, 14, 9, 4]})
G1 = nx.from_pandas_edgelist(df, source='O', target='D',
edge_attr=True,
create_using=nx.MultiDiGraph)
G2 = nx.from_pandas_edgelist(df, source='O', target='D',
edge_attr=['St', 'Co', 'Mi'],
create_using=nx.MultiDiGraph)
assert_graphs_equal(G1, Gtrue)
assert_graphs_equal(G2, Gtrue) 示例9: test_from_edgelist_one_attr
# 需要导入模块: import networkx [as 别名]
# 或者: from networkx import from_pandas_edgelist [as 别名]
def test_from_edgelist_one_attr(self):
Gtrue = nx.Graph([('E', 'C', {'weight': 10}),
('B', 'A', {'weight': 7}),
('A', 'D', {'weight': 4})])
G = nx.from_pandas_edgelist(self.df, 0, 'b', 'weight')
assert_graphs_equal(G, Gtrue) 示例10: test_from_edgelist_invalid_attr
# 需要导入模块: import networkx [as 别名]
# 或者: from networkx import from_pandas_edgelist [as 别名]
def test_from_edgelist_invalid_attr(self):
assert_raises(nx.NetworkXError, nx.from_pandas_edgelist,
self.df, 0, 'b', 'misspell')
assert_raises(nx.NetworkXError, nx.from_pandas_edgelist,
self.df, 0, 'b', 1) 示例11: test_from_edgelist_no_attr
# 需要导入模块: import networkx [as 别名]
# 或者: from networkx import from_pandas_edgelist [as 别名]
def test_from_edgelist_no_attr(self):
Gtrue = nx.Graph([('E', 'C', {}),
('B', 'A', {}),
('A', 'D', {})])
G = nx.from_pandas_edgelist(self.df, 0, 'b',)
assert_graphs_equal(G, Gtrue) 示例12: test_roundtrip
# 需要导入模块: import networkx [as 别名]
# 或者: from networkx import from_pandas_edgelist [as 别名]
def test_roundtrip(self):
# edgelist
Gtrue = nx.Graph([(1, 1), (1, 2)])
df = nx.to_pandas_edgelist(Gtrue)
G = nx.from_pandas_edgelist(df)
assert_graphs_equal(Gtrue, G)
# adjacency
Gtrue = nx.Graph(({1: {1: {'weight': 1}, 2: {'weight': 1}}, 2: {1: {'weight': 1}}}))
df = nx.to_pandas_adjacency(Gtrue, dtype=int)
G = nx.from_pandas_adjacency(df)
assert_graphs_equal(Gtrue, G) 示例13: from_pandas_dataframe
# 需要导入模块: import networkx [as 别名]
# 或者: from networkx import from_pandas_edgelist [as 别名]
def from_pandas_dataframe(df, source='source', target='target', edge_attr=None,
create_using=None):
"""DEPRECATED: Replaced by ``from_pandas_edgelist``."""
msg = "from_pandas_dataframe is deprecated and will be removed" \
"in 2.1, use from_pandas_edgelist instead."
_warnings.warn(msg, DeprecationWarning)
return from_pandas_edgelist(df, source, target, edge_attr, create_using) 示例14: test_from_edgelist_all_attr
# 需要导入模块: import networkx [as 别名]
# 或者: from networkx import from_pandas_edgelist [as 别名]
def test_from_edgelist_all_attr(self):
Gtrue = nx.Graph([('E', 'C', {'cost': 9, 'weight': 10}),
('B', 'A', {'cost': 1, 'weight': 7}),
('A', 'D', {'cost': 7, 'weight': 4})])
G = nx.from_pandas_edgelist(self.df, 0, 'b', True)
assert_graphs_equal(G, Gtrue)
# deprecated
G = nx.from_pandas_dataframe(self.df, 0, 'b', True)
assert_graphs_equal(G, Gtrue)
# MultiGraph
MGtrue = nx.MultiGraph(Gtrue)
MGtrue.add_edge('A', 'D', cost=16, weight=4)
MG = nx.from_pandas_edgelist(self.mdf, 0, 'b', True, nx.MultiGraph())
assert_graphs_equal(MG, MGtrue) 示例15: test_from_edgelist_multidigraph_and_edge_attr
# 需要导入模块: import networkx [as 别名]
# 或者: from networkx import from_pandas_edgelist [as 别名]
def test_from_edgelist_multidigraph_and_edge_attr(self):
# example from issue #2374
Gtrue = nx.MultiDiGraph([('X1', 'X4', {'Co': 'zA', 'Mi': 0, 'St': 'X1'}),
('X1', 'X4', {'Co': 'zB', 'Mi': 54, 'St': 'X2'}),
('X1', 'X4', {'Co': 'zB', 'Mi': 49, 'St': 'X3'}),
('X1', 'X4', {'Co': 'zB', 'Mi': 44, 'St': 'X4'}),
('Y1', 'Y3', {'Co': 'zC', 'Mi': 0, 'St': 'Y1'}),
('Y1', 'Y3', {'Co': 'zC', 'Mi': 34, 'St': 'Y2'}),
('Y1', 'Y3', {'Co': 'zC', 'Mi': 29, 'St': 'X2'}),
('Y1', 'Y3', {'Co': 'zC', 'Mi': 24, 'St': 'Y3'}),
('Z1', 'Z3', {'Co': 'zD', 'Mi': 0, 'St': 'Z1'}),
('Z1', 'Z3', {'Co': 'zD', 'Mi': 14, 'St': 'X3'}),
('Z1', 'Z3', {'Co': 'zE', 'Mi': 9, 'St': 'Z2'}),
('Z1', 'Z3', {'Co': 'zE', 'Mi': 4, 'St': 'Z3'})])
df = pd.DataFrame.from_items([
('O', ['X1', 'X1', 'X1', 'X1', 'Y1', 'Y1', 'Y1', 'Y1', 'Z1', 'Z1', 'Z1', 'Z1']),
('D', ['X4', 'X4', 'X4', 'X4', 'Y3', 'Y3', 'Y3', 'Y3', 'Z3', 'Z3', 'Z3', 'Z3']),
('St', ['X1', 'X2', 'X3', 'X4', 'Y1', 'Y2', 'X2', 'Y3', 'Z1', 'X3', 'Z2', 'Z3']),
('Co', ['zA', 'zB', 'zB', 'zB', 'zC', 'zC', 'zC', 'zC', 'zD', 'zD', 'zE', 'zE']),
('Mi', [0, 54, 49, 44, 0, 34, 29, 24, 0, 14, 9, 4])])
G1 = nx.from_pandas_edgelist(df, source='O', target='D',
edge_attr=True,
create_using=nx.MultiDiGraph())
G2 = nx.from_pandas_edgelist(df, source='O', target='D',
edge_attr=['St', 'Co', 'Mi'],
create_using=nx.MultiDiGraph())
assert_graphs_equal(G1, Gtrue)
assert_graphs_equal(G2, Gtrue)