本文整理汇总了Python中xml.etree.cElementTree.Element.insert方法的典型用法代码示例。如果您正苦于以下问题：Python Element.insert方法的具体用法？Python Element.insert怎么用？Python Element.insert使用的例子？那么恭喜您, 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xml.etree.cElementTree.Element的用法示例。
在下文中一共展示了Element.insert方法的3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: GraphMLWriter
# 需要导入模块: from xml.etree.cElementTree import Element [as 别名]
# 或者: from xml.etree.cElementTree.Element import insert [as 别名]
class GraphMLWriter(GraphML):
def __init__(self, graph=None, encoding="utf-8", prettyprint=True, infer_numeric_types=False):
try:
import xml.etree.ElementTree
except ImportError:
raise ImportError('GraphML writer requires '
'xml.elementtree.ElementTree')
self.infer_numeric_types = infer_numeric_types
self.prettyprint=prettyprint
self.encoding = encoding
self.xml = Element("graphml",
{'xmlns':self.NS_GRAPHML,
'xmlns:xsi':self.NS_XSI,
'xsi:schemaLocation':self.SCHEMALOCATION}
)
self.keys={}
self.attributes = defaultdict(list)
self.attribute_types = defaultdict(set)
if graph is not None:
self.add_graph_element(graph)
def __str__(self):
if self.prettyprint:
self.indent(self.xml)
s=tostring(self.xml).decode(self.encoding)
return s
def attr_type(self, name, scope, value):
"""Infer the attribute type of data named name. Currently this only
supports inference of numeric types.
If self.infer_numeric_types is false, type is used. Otherwise, pick the
most general of types found across all values with name and scope. This
means edges with data named 'weight' are treated separately from nodes
with data named 'weight'.
"""
if self.infer_numeric_types:
types = self.attribute_types[(name, scope)]
try:
chr(12345) # Fails on Py!=3.
long = int # Py3K's int is our long type
except ValueError:
# Python 2.x
pass
if len(types) > 1:
if float in types:
return float
elif long in types:
return long
else:
return int
else:
return list(types)[0]
else:
return type(value)
def get_key(self, name, attr_type, scope, default):
keys_key = (name, attr_type, scope)
try:
return self.keys[keys_key]
except KeyError:
new_id = "d%i" % len(list(self.keys))
self.keys[keys_key] = new_id
key_kwargs = {"id":new_id,
"for":scope,
"attr.name":name,
"attr.type":attr_type}
key_element=Element("key",**key_kwargs)
# add subelement for data default value if present
if default is not None:
default_element=Element("default")
default_element.text=make_str(default)
key_element.append(default_element)
self.xml.insert(0,key_element)
return new_id
def add_data(self, name, element_type, value,
scope="all",
default=None):
"""
Make a data element for an edge or a node. Keep a log of the
type in the keys table.
"""
if element_type not in self.xml_type:
raise nx.NetworkXError('GraphML writer does not support '
'%s as data values.'%element_type)
key_id = self.get_key(name, self.xml_type[element_type], scope, default)
data_element = Element("data", key=key_id)
data_element.text = make_str(value)
return data_element
def add_attributes(self, scope, xml_obj, data, default):
"""Appends attribute data to edges or nodes, and stores type information
to be added later. See add_graph_element.
"""
#.........这里部分代码省略.........
示例2: GraphMLWriter
# 需要导入模块: from xml.etree.cElementTree import Element [as 别名]
# 或者: from xml.etree.cElementTree.Element import insert [as 别名]
class GraphMLWriter(GraphML):
def __init__(self, graph=None, encoding="utf-8",prettyprint=True):
try:
import xml.etree.ElementTree
except ImportError:
raise ImportError('GraphML writer requires '
'xml.elementtree.ElementTree')
self.prettyprint=prettyprint
self.encoding = encoding
self.xml = Element("graphml",
{'xmlns':self.NS_GRAPHML,
'xmlns:xsi':self.NS_XSI,
'xsi:schemaLocation':self.SCHEMALOCATION}
)
self.keys={}
if graph is not None:
self.add_graph_element(graph)
def __str__(self):
if self.prettyprint:
self.indent(self.xml)
s=tostring(self.xml).decode(self.encoding)
return s
def get_key(self, name, attr_type, scope, default):
keys_key = (name, attr_type, scope)
try:
return self.keys[keys_key]
except KeyError:
new_id = "d%i" % len(list(self.keys))
self.keys[keys_key] = new_id
key_kwargs = {"id":new_id,
"for":scope,
"attr.name":name,
"attr.type":attr_type}
key_element=Element("key",**key_kwargs)
# add subelement for data default value if present
if default is not None:
default_element=Element("default")
default_element.text=make_str(default)
key_element.append(default_element)
self.xml.insert(0,key_element)
return new_id
def add_data(self, name, element_type, value,
scope="all",
default=None):
"""
Make a data element for an edge or a node. Keep a log of the
type in the keys table.
"""
if element_type not in self.xml_type:
raise nx.NetworkXError('GraphML writer does not support '
'dict types as data values.')
key_id = self.get_key(name, self.xml_type[element_type], scope, default)
data_element = Element("data", key=key_id)
data_element.text = make_str(value)
return data_element
def add_attributes(self, scope, xml_obj, data, default):
"""Appends attributes to edges or nodes.
"""
for k,v in data.items():
default_value=default.get(k)
obj=self.add_data(make_str(k), type(v), make_str(v),
scope=scope, default=default_value)
xml_obj.append(obj)
def add_nodes(self, G, graph_element):
for node,data in G.nodes_iter(data=True):
node_element = Element("node", id = make_str(node))
default=G.graph.get('node_default',{})
self.add_attributes("node", node_element, data, default)
graph_element.append(node_element)
def add_edges(self, G, graph_element):
if G.is_multigraph():
for u,v,key,data in G.edges_iter(data=True,keys=True):
edge_element = Element("edge",source=make_str(u),
target=make_str(v))
default=G.graph.get('edge_default',{})
self.add_attributes("edge", edge_element, data, default)
self.add_attributes("edge", edge_element,
{'key':key}, default)
graph_element.append(edge_element)
else:
for u,v,data in G.edges_iter(data=True):
edge_element = Element("edge",source=make_str(u),
target=make_str(v))
default=G.graph.get('edge_default',{})
self.add_attributes("edge", edge_element, data, default)
graph_element.append(edge_element)
def add_graph_element(self, G):
"""
Serialize graph G in GraphML to the stream.
"""
#.........这里部分代码省略.........
示例3: GraphMLWriter
# 需要导入模块: from xml.etree.cElementTree import Element [as 别名]
# 或者: from xml.etree.cElementTree.Element import insert [as 别名]
class GraphMLWriter(GraphML):
def __init__(self, encoding="utf-8"):
try:
import xml.etree.cElementTree
except ImportError:
raise ImportError("GraphML writer requires xml.elementtree.ElementTree")
self.encoding = encoding
self.xml = Element("graphml",
{'xmlns':self.NS_GRAPHML,
'xmlns:xsi':self.NS_XSI,
'xsi:schemaLocation':self.SCHEMALOCATION}
)
self.keys={}
def get_key(self, name, attr_type, edge_or_node,default):
keys_key = (name, attr_type, edge_or_node)
try:
return self.keys[keys_key]
except KeyError:
new_id = "d%i" % len(list(self.keys))
self.keys[keys_key] = new_id
key_kwargs = {"id":new_id,
"for":edge_or_node,
"attr.name":name,
"attr.type":attr_type}
key_element=Element("key",**key_kwargs)
# add subelement for data default value if present
if default is not None:
default_element=Element("default")
default_element.text=str(default)
key_element.append(default_element)
self.xml.insert(0,key_element)
return new_id
def add_data(self, name, element_type, value,
edge_or_node="edge",
default=None):
"""
Make a data element for an edge or a node. Keep a log of the
type in the keys table.
"""
key_id = self.get_key(name,self.xml_type[element_type],
edge_or_node, default)
data_element = Element("data", key=key_id)
data_element.text = str(value)
return data_element
def add_attributes(self, node_or_edge, xml_obj, data, default):
"""Appends attributes to edges or nodes.
"""
for k,v in list(data.items()):
default_value=default.get(k)
obj=self.add_data(str(k),type(v),str(v),
edge_or_node=node_or_edge,
default=default_value)
xml_obj.append(obj)
def add_nodes(self, G, graph_element):
for node,data in G.nodes_iter(data=True):
node_element = Element("node", id = str(node))
default=G.graph.get('node_default',{})
self.add_attributes("node", node_element, data, default)
graph_element.append(node_element)
def add_edges(self, G, graph_element):
if G.is_multigraph():
for u,v,key,data in G.edges_iter(data=True,keys=True):
edge_element = Element("edge",source=str(u),target=str(v),
id=str(key))
default=G.graph.get('edge_default',{})
self.add_attributes("edge", edge_element, data, default)
graph_element.append(edge_element)
else:
for u,v,data in G.edges_iter(data=True):
edge_element = Element("edge",source=str(u),target=str(v))
default=G.graph.get('edge_default',{})
self.add_attributes("edge", edge_element, data, default)
graph_element.append(edge_element)
def add_graph_element(self, G):
"""
Serialize graph G in GraphML to the stream.
"""
if G.is_directed():
default_edge_type='directed'
else:
default_edge_type='undirected'
graph_element = Element("graph",
edgedefault = default_edge_type,
id=G.name)
self.add_nodes(G,graph_element)
self.add_edges(G,graph_element)
self.xml.append(graph_element)
def add_graphs(self, graph_list):
"""
Add many graphs to this GraphML document.
"""
#.........这里部分代码省略.........