Top 10 Examples of "pydot in functional component" in Python
Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'pydot' in functional components in Python. Our advanced machine learning engine meticulously scans each line of code, cross-referencing millions of open source libraries to ensure your implementation is not just functional, but also robust and secure. Elevate your React applications to new heights by mastering the art of handling side effects, API calls, and asynchronous operations with confidence and precision.
except ImportError, excp:
from setuptools import setup
import pydot
import os
os.environ['COPY_EXTENDED_ATTRIBUTES_DISABLE'] = 'true'
os.environ['COPYFILE_DISABLE'] = 'true'
setup( name = 'pydot',
version = pydot.__version__,
description = 'Python interface to Graphviz\'s Dot',
author = 'Ero Carrera',
author_email = 'ero@dkbza.org',
url = 'http://code.google.com/p/pydot/',
download_url = 'http://pydot.googlecode.com/files/pydot-%s.tar.gz' % pydot.__version__,
license = 'MIT',
keywords = 'graphviz dot graphs visualization',
platforms = ['any'],
classifiers = ['Development Status :: 5 - Production/Stable',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Operating System :: OS Independent',
'Programming Language :: Python',
'Topic :: Scientific/Engineering :: Visualization',
'Topic :: Software Development :: Libraries :: Python Modules'],
long_description = "\n".join(pydot.__doc__.split('\n')),
py_modules = ['pydot', 'dot_parser'],
install_requires = ['pyparsing', 'setuptools'],
data_files = [('.', ['LICENSE', 'README'])] )for bridge in bridges:
bridge_node = Node(get_device_id(bridge),
label=get_device_label(bridge, 'Bridge'),
shape='box')
tenant_cluster.add_node(bridge_node)
for p in dao.get_ports_by_bridge_id(bridge['id']):
seen_port_ids.add(p['id'])
bridge_port_node = Node(shorten_uuid(p['id']),
label=get_port_label(p))
tenant_cluster.add_node(bridge_port_node)
tenant_cluster.add_edge(
Edge(bridge_node, shorten_uuid(p['id'])))
if p['type'] == 'InteriorBridge':
if p['peerId']:
if p['peerId'] in seen_port_ids:
continue
peer_port = dao.get_port_by_id(p['peerId'])
peer_device_id = peer_port['deviceId']
edge = Edge(bridge_port_node,
shorten_uuid(peer_port['id']))
if peer_port['type'].endswith('Bridge'):
other_tenant_id = dao.get_bridge_by_id(
peer_device_id)['tenantId']def wr_png_array(bh_st, kwargs):
"""Given an array for a binary heap, draw tree."""
import pydot
prt = sys.stdout if 'prt' not in kwargs else kwargs['prt']
fout_png = "binary_heap_{}.png".format('_'.join(str(e) for e in bh_st))
label = get_png_label(bh_st, kwargs)
# 1. Create/initialize Graph
G = pydot.Dot(label=label, graph_type='digraph') # Directed Graph
edge_idxs = get_edges(bh_st)
badcol = {c:'#fe2f4a' for p, c in edge_idxs if bh_st[p] < bh_st[c]}
# 2. Create Nodes
mknode = lambda i, v: pydot.Node(
"{V}[{I}]".format(I=i+1, V=v),
style = "filled",
fillcolor = badcol.get(i, "beige"))
nodes = [mknode(i,v) for i, v in enumerate(bh_st) if v is not None]
# 3. Add nodes to Graph
for node in nodes:
G.add_node(node)
# 4. Add Edges between Nodes to Graph
for p, c in edge_idxs:
G.add_edge(pydot.Edge(nodes[p], nodes[c]))
# 5. Write Graph to png file
G.write_png(fout_png)----------
tree :
The tree structure
outfile :
The output file
encoders :
The encoders used to encode categorical features
is_spark :
If the tree was produced by Spark or not
"""
dot_data = StringIO()
export_graphviz(tree, encoders, out_file=dot_data, is_spark=is_spark)
graph = pydot.graph_from_dot_data(dot_data.getvalue())
graph.write_pdf(outfile)
if args.prompt_password:
password = raw_input('Password for MidoNet API: ')
dao = vta.MidoNetApi(args.midonet_url, args.username, password,
args.tenant_id)
for tenant in dao.get_tenants():
tenant_cluster = Cluster(get_tenant_cluster_id(tenant['id']),
label=get_tenant_label(tenant['id']))
for chain in dao.get_chains_by_tenant_id(tenant['id']):
chain_node = Node(chain['id'],
label=get_device_label(chain, 'Chain'))
chain_cluster = Cluster(chain['id'].replace('-', '_'),
label=get_device_label(chain, 'Chain'))
tenant_cluster.add_subgraph(chain_cluster)
rules = dao.get_rules_by_chain_id(chain['id'])
for rule in rules:
rule_node = Node(rule['id'],
label=get_rule_label(rule),
shape='box')
chain_cluster.add_node(rule_node)
routers = dao.get_routers_by_tenant_id(tenant['id'])
for router in routers:
router_node = Node(get_device_id(router),
label=get_device_label(router, 'Router'),
shape='box')
tenant_cluster.add_node(router_node)def digraph():
return pydot.Graph("testgraph", graph_type="digraph")def push_edge_stmt(str, loc, toks):
tok_attrs = [a for a in toks if isinstance(a, P_AttrList)]
attrs = {}
for a in tok_attrs:
attrs.update(a.attrs)
e = []
if isinstance(toks[0][0], pydot.Graph):
n_prev = pydot.frozendict(toks[0][0].obj_dict)
else:
n_prev = toks[0][0] + do_node_ports( toks[0] )
if isinstance(toks[2][0], ParseResults):
n_next_list = [[n.get_name(),] for n in toks[2][0] ]
for n_next in [n for n in n_next_list]:
n_next_port = do_node_ports(n_next)
e.append(pydot.Edge(n_prev, n_next[0]+n_next_port, **attrs))
elif isinstance(toks[2][0], pydot.Graph):
e.append(pydot.Edge(n_prev, pydot.frozendict(toks[2][0].obj_dict), **attrs))
elif isinstance(toks[2][0], pydot.Node):if not item_dict.has_key( key_name ):
continue
for key, objs in item_dict[key_name].items():
for obj in objs:
if 'parent_graph' in obj and obj['parent_graph'].get_parent_graph()==g:
if obj['parent_graph'] is g:
pass
else:
obj['parent_graph'].set_parent_graph(parent_graph)
if key_name == 'edges' and len(key) == 2:
for idx, vertex in enumerate( obj['points'] ):
if isinstance( vertex, (pydot.Graph, pydot.Subgraph, pydot.Cluster)):
vertex.set_parent_graph(parent_graph)
if isinstance( vertex, pydot.frozendict):
if vertex['parent_graph'] is g:
pass
else:
vertex['parent_graph'].set_parent_graph(parent_graph)#!/usr/bin/env python
try:
from distutils.core import setup
except ImportError, excp:
from setuptools import setup
import pydot
import os
os.environ['COPY_EXTENDED_ATTRIBUTES_DISABLE'] = 'true'
os.environ['COPYFILE_DISABLE'] = 'true'
setup( name = 'pydot',
version = pydot.__version__,
description = 'Python interface to Graphviz\'s Dot',
author = 'Ero Carrera',
author_email = 'ero@dkbza.org',
url = 'http://code.google.com/p/pydot/',
download_url = 'http://pydot.googlecode.com/files/pydot-%s.tar.gz' % pydot.__version__,
license = 'MIT',
keywords = 'graphviz dot graphs visualization',
platforms = ['any'],
classifiers = ['Development Status :: 5 - Production/Stable',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Operating System :: OS Independent',
'Programming Language :: Python',
'Topic :: Scientific/Engineering :: Visualization',
'Topic :: Software Development :: Libraries :: Python Modules'],lVersionDict["sklearn_version"] = sklearn.__version__;
import pandas as pd
lVersionDict["pandas_version"] = pd.__version__;
import numpy as np
lVersionDict["numpy_version"] = np.__version__;
import scipy as sc
lVersionDict["scipy_version"] = sc.__version__;
import matplotlib
lVersionDict["matplotlib_version"] = matplotlib.__version__
import pydot
lVersionDict["pydot_version"] = pydot.__version__
import sqlalchemy
lVersionDict["sqlalchemy_version"] = sqlalchemy.__version__
print([(k, lVersionDict[k]) for k in sorted(lVersionDict)]);
return lVersionDict;