Example #1
0
def visualize_tree(node, depth=np.inf):
    from graphviz import Digraph
    dot = Digraph(comment='Alpha Beta graph', format='png')
    dot.node_attr.update(style='filled', fontsize='15', fixedsize='false', fontcolor='blue')
    edges = []
    node_counter = [0]

    def node_to_graph_node(node, dot):
        dot.node(str(node.counter), 'alpha:{0} beta:{1}, move:{2}'.format(node.alpha, node.beta, str(node.move)),
                 shape='box' if node.board.turn else 'oval', color='black' if node.board.turn else 'white')

    def helper(node, node_counter, edges, dot, depth):
        if depth <= 0:
            return
        for n in node.child_nodes:
            n.counter = node_counter[0]
            node_counter[0] += 1
            node_to_graph_node(n, dot)
            edges.append((str(node.counter), str(n.counter)))
            helper(n, node_counter, edges, dot, depth - 1)

    node.counter = node_counter[0]
    node_to_graph_node(node, dot)
    node_counter[0] += 1
    helper(node, node_counter, edges, dot, depth)
    dot.edges(edges)
    print(dot.source)
    dot.render('test-output/round-table.gv', view=True)
Example #2
0
def _build_graph(config, data):
    g = Digraph()
    g.graph_attr["rankdir"] = "LR"
    g.graph_attr["splines"] = "polyline"
    g.graph_attr["fontsize"] = "32.0"

    graph_nodes = []
    graph_edges = []

    for item in data:
        for key, value in item.dict().items():
            g.node(value, **config.style[key])

        values = list(item.dict().values())
        graph_edges.extend(list(zip(values, values[1:])))

    graph_nodes = list(set(graph_nodes))
    for node in graph_nodes:
        g.node(node)

    graph_edges = list(set(graph_edges))
    g.edges(graph_edges)
    g.edge_attr["arrowhead"] = "none"

    return g.unflatten()
Example #3
0
    def draw_map(cls,
                 clsinfo,
                 filename="map.gv",
                 format="png",
                 with_mro=False):
        if not ClsMap.__is_cls(clsinfo):
            return

        clsinfo_name = ClsMap.__cls_name(clsinfo)
        dot = Digraph(comment='Class %s inherit relationship map' %
                      clsinfo_name)

        if clsinfo == object:
            edges = [["object", "NUL"]]
        else:
            edges = cls.inherit_edges(clsinfo)

        dot.node(edges[0][0], style="filled")
        if not with_mro:
            dot.edges(edges)
        else:
            mro_edges = cls.mro_edges(clsinfo)
            for i in edges:
                if i in mro_edges:
                    mro_edges.remove(i)
                    dot.edge(i[0], i[1], color='red')
                else:
                    dot.edge(i[0], i[1])
            for i in mro_edges:
                dot.edge(i[0], i[1], color='red')

        dot.render(filename, format=format, view=False)
Example #4
0
def Generar_Grafo():
    w = Digraph()

    w.edges((restaurante, str(seccion[0])) for seccion in datosRestaurante)

    w.view()
    '''
Example #5
0
    def __repr__(self):

        # Empty tree is represented by an empty string
        if self.root is None:
            return ""

        # Create directed graph object
        dot = Digraph(comment=f"{self.order}-ary tree", format='png')

        # Queue for traversing through the tree one level at a time
        queue = deque()
        queue.append(self.root)

        # Build a graph node by node until all nodes are recreated
        dot.node(f"{self.root.value}", f"{self.root.value}")
        while queue:
            current = queue.popleft()
            queue.extend(current.children)

            # Create child nodes and then connect them to their parent through edges
            for child in current.children:
                dot.node(f"{child.value}", f"{child.value}")
                dot.edges([f"{current.value}{child.value}"])

        # Visualized graph
        dot.render(f"{self.order}-ary tree", view=True)

        # Graph in a text format
        return dot.source
Example #6
0
def plot(doid, ontology):
    dot = Digraph(comment='Neighborhood')
    term_doid = ontology.get_term(doid)
    label_doid = term_doid.name
    dot.node('A', label_doid)
    letter = 'A'
    if check_parent(doid, ontology) > 0:
        dict = {term.name: term.id for term in ontology.get_terms()}
        father = dict[term_doid.relationships[0][2]]
        term_father = ontology.get_term(father)
        label_father = term_father.name
        letter = 'B'
        dot.node(letter, label_father)
        dot.edges([''.join(['B', 'A'])])
    children = [
        term.id for term in ontology.get_terms()
        if len(term.relationships) > 0 and term.relationships[0][1] == doid
    ]
    #print children
    if len(children) > 0:
        for child in children:
            term_child = ontology.get_term(child)
            label_child = term_child.name

            letter = chr(ord(letter) + 1)
            dot.node(letter, label_child)
            dot.edges([''.join(['A', letter])])
    return dot
Example #7
0
 def print_graph(self,
                 transpose: bool = False,
                 view_img: bool = True) -> None:
     """prints the graph pretty"""
     # requires graphviz, install using
     # python3.7 -m pip install graphviz
     try:
         from graphviz import Digraph
         dot = Digraph()
         for i in range(self.nodes):
             dot.node(str(i), get_pml_node_name(i))
         edges = []
         for i in range(self.nodes):
             for j in range(self.nodes):
                 if transpose:
                     if self.trans_ad_mat[i][j] == 1:
                         edges.append(str(i) + str(j))
                 else:
                     if self.ad_mat[i][j] == 1:
                         edges.append(str(i) + str(j))
         dot.edges(edges)
         if transpose:
             dot.render('reverse_graph', view=view_img)
         else:
             dot.render('graph', view=view_img)
     except:
         pass
Example #8
0
def render_graph_with_graphviz(g, filename):
    """manual hack to render graph because graphtool's graphviz rendering is broken"""

    edgelist = []
    for i in g.edges():
        edgelist.append([g.vp.id[i.source()], g.vp.id[i.target()]])
    
    dot = Digraph()
    dot.engine = 'sfdp'
    dot.node_attr = {'shape': "point"}
    dot.edge_attr = {'arrowsize': "0.1", 'penwidth':'0.1'}
    dot.graph_attr = {'outputorder':'edgesfirst', 'overlap':'false'}

    size = g.degree_property_map('out')
    label_size_scaler = graph_tool.draw.prop_to_size(size, mi=2, ma=6, log=False, power=0.5)
    node_size_scaler = graph_tool.draw.prop_to_size(size, mi=0.005, ma=0.1, log=False, power=1)

    # https://github.com/xflr6/graphviz/issues/85
    for i in flatten_list(edgelist):

        gt_node = graph_tool.util.find_vertex(g, g.vp.id, i)[0]

        # gt_node = g_kld2.vertex(vd_kld2[i])
        label_size =label_size_scaler[gt_node]
        node_size = node_size_scaler[gt_node]

        dot.node(i, xlabel=i, width=str(node_size), fontsize=str(label_size))

    dot.edges(edgelist)

    dot.render(filename = filename)
def graph(flows, b):
    """ flows is the matrix with the net flows, and b3.2 Methodology 75
    is a string describing the net flow
    """
    s = Digraph('Actions', node_attr={'shape': 'plaintext'})
    s.body.extend(['rankdir = LR'])
    x = sort(flows)
    y = argsort(flows)
    l = []
    for i in y:
        s.node(
            'action' + str(i), '''<
        <TABLE BORDER="0" CELLBORDER="1"
        CELLSPACING="0" CELLPADDING="4">
        <TR>
        <TD COLSPAN="2" bgcolor="grey" >Action
        ''' + str(y[i] + 1) + '''</TD>
        </TR>
        <TR>
        <TD>''' + b + '''</TD>
        <TD>''' + str(x[i]) + '''</TD>
        </TR>
        </TABLE>>''')
    k = []
    for q in range(len(flows) - 1):
        k.append(['action' + str(q + 1), 'action' + str(q)])
    print(k)
    s.edges(k)
    s.view()
Example #10
0
    def draw_subclasses(cls, clsinfo, filename="subclasses.gv", format="png"):
        if not ClsMap.__is_cls(clsinfo):
            return

        edges = cls.subclasses_edges(clsinfo)
        if not len(edges):
            return

        multiple_modules = True
        if ClsMap.__edges_in_same_module(edges):
            edges = ClsMap.__edges_rm_module_name(edges)
            multiple_modules = False
        clsinfo_name = ClsMap.__cls_name(clsinfo)
        dot = Digraph(comment='Class %s subclasses tree' % clsinfo_name)
        dot.attr(rankdir='LR')
        dot.attr(splines="polyline")
        dot.node(edges[0][1], style="filled")

        if multiple_modules:  # add node color for different modules
            color_plate = {}
            for edge in edges:
                for node in edge:
                    module_name = ClsMap.__node_module_name(node)
                    if not color_plate.__contains__(module_name):
                        color_plate[module_name] = CPicker.picker()

                    dot.node(node,
                             style='filled',
                             fillcolor=color_plate[module_name])

        dot.edges(edges)
        dot.render(filename, format=format, view=False)
Example #11
0
    def showCourseGraph(self):
        """
        Visualizes the course graph to show course dependencies
        """
        visualGraph = Digraph()
        nodeChar = 'A'
        dictCourseToNode = {}

        # initialize nodes
        for key in self.courseGraph:
            corequisites = self.courseGraph[key]['co']
            prerequisites = self.courseGraph[key]['pre']
            dictCourseToNode[key] = nodeChar
            if (corequisites is None):
                visualGraph.node(nodeChar, key)
            else:
                visualGraph.node(nodeChar,
                                 key + str(corequisites).replace("'", ""))
            nodeChar = chr(ord(nodeChar) + 1)

        # build edges
        edges = []
        for key in self.courseGraph:
            if (self.courseGraph[key]['pre'] == None):
                continue
            else:
                prerequisites = self.courseGraph[key]['pre']
                for pre in prerequisites:
                    edges.append(dictCourseToNode[pre] + dictCourseToNode[key])

        visualGraph.edges(edges)
        return visualGraph
Example #12
0
def output_parent_function_graph(rule_classification_data_bundle):
    report_dict, reference_dict = rule_classification_data_bundle

    identifier_dict = {
        parent: f"p{index}"
        for index, parent in enumerate(report_dict.keys())
    }

    dot = Digraph(**_GRAPH_SETTINGS)

    for parent, identifier in identifier_dict.items():
        descriptions = "\l".join(report_dict[parent]) + "\l"

        with dot.subgraph(
                name=f"cluster_{identifier}",
                graph_attr={
                    "label": _get_function_display_name(parent),
                    "fontsize": "16",
                },
        ) as sub:
            sub.node(identifier, label=descriptions)

    edge_list = []
    for parent, identifier in identifier_dict.items():
        edge_list.extend([(identifier, identifier_dict[function])
                          for function in reference_dict[parent]])

    dot.edges(edge_list)

    dot.render()
Example #13
0
def draw_graph(cur_commit_id: str, master_id: str, parent_commit_id) -> None:

    g = Digraph('G', filename='commit-graph.gv')

    g.graph_attr['rankdir'] = 'RL'

    g.node('H', 'HEAD')

    g.node('C', cur_commit_id)

    nodes = ['HC']

    if parent_commit_id != 'None':

        g.node('P', parent_commit_id)
        nodes.append('CP')

    if master_id == cur_commit_id:

        g.node('M', 'master')
        nodes.append('MC')

    elif master_id == parent_commit_id:
        g.node('M', 'master')
        nodes.append('MP')

    g.edges(nodes)
    g.view()
Example #14
0
def result():
    c = m = 0
    arr = []
    pTree.displayTree1(arr)
    array = arr
    from graphviz import Digraph, nohtml, render
    s = Digraph(name='structs', filename='static/result/structs.gv', node_attr={'shape': 'record'}, format='png')
    for i in range(len(array)):
        if m < array[i][0]:
            m = array[i][0]
        if len(array[i][2]) == 3:
            s.node('struct{}{}{}'.format(array[i][0], array[i][1], array[i][3]),
                   '<f0> {}|<f1> {}|<f2> {}'.format(array[i][2][0], array[i][2][1], array[i][2][2]))
            c += 1
        if len(array[i][2]) == 2:
            s.node('struct{}{}{}'.format(array[i][0], array[i][1], array[i][3]),
                   '<f0> {}|<f1> {}'.format(array[i][2][0], array[i][2][1]))
            c += 1
        if len(array[i][2]) == 1:
            s.node('struct{}{}{}'.format(array[i][0], array[i][1], array[i][3]), '<f0> {}'.format(array[i][2][0]))
            c += 1
    # for i in range(m):
    # s.edges([('struct{}{}:f0'.format(i,0), 'struct{}{}:f0'.format(i+1,0)), ('struct{}{}:f0'.format(i,0), 'struct{}{}:f0'.format(i+1,1))])
    # s.edges([('struct{}{}:f0'.format(i,1), 'struct{}{}:f0'.format(i+1,0)), ('struct{}{}:f0'.format(i,1), 'struct{}{}:f0'.format(i+1,1))])
    stack = []
    stack.append(array[0])
    for i in range(1, len(array)):
        while len(stack) != 0 and stack[-1][2] != array[i][3]:
            tmp = stack.pop()
        s.edges([('struct{}{}{}:f0'.format(stack[-1][0], stack[-1][1], stack[-1][3]),
                  'struct{}{}{}:f0'.format(array[i][0], array[i][1], array[i][3]))])
        stack.append(array[i])
    #  print(stack)
    s.render(filename="static/result/structs", view=False)
Example #15
0
def build_graph(edges):
    fc = nn.Linear(768, 2)
    net = nn.Sequential(mac, fc)  # fails b/c tuple input
    # hl.build_graph(net, tuple(mac.mac.saved_inp))
    # graph = hl.build_graph(mac.mac, tuple(mac.mac.saved_inp))
    # graph.build_dot().render('visuals/mac-hl', format='png')

    g = nx.DiGraph()
    g.add_edges_from(filter_edges(edges))
    g.remove_edges_from(g.selfloop_edges())

    # nx.drawing.nx_pydot.write_dot(G, "visuals/mac-nx.dot")
    # !dot -Tpng visuals/mac-nx.dot -o visuals/mac-nx.png

    node_attr = dict(style='filled',
                     shape='box',
                     align='left',
                     fontsize='12',
                     ranksep='0.1',
                     height='0.2')
    graph_attr = dict(size="12,12")

    dot = Digraph(node_attr=node_attr, graph_attr=graph_attr)
    dot.edges(g.edges())
    dot.render('visuals/mac-nx', format='png')

    return g
Example #16
0
File: app.py Project: bphnr900/TIL
class TreePainter():
    def __init__(self):
        self._dot = Digraph(comment='Sample',
                            graph_attr={
                                'rankdir': 'LR',
                                'fontname': 'Segoe UI'
                            },
                            edge_attr={'dir': 'none'})

        builder = PartsStructuresBuilder()
        # アイテムを追加
        self._addNode(builder.get_rawData())
        # アイテム間で線をひく
        self._addEdges(builder.get_Structure())

    def get_dot(self):
        return self._dot

    def _addNode(self, structure):
        for part in structure:
            self._dot.node(part['PartNumber'],
                           label=part['PartNumber'],
                           shape='box')

    def _addEdges(self, structure):
        edge = []
        edge = self._makeEdge(structure, edge)
        self._dot.edges(edge)

    def _makeEdge(self, structure, edge):
        for part in structure['child']:
            edge.append(structure['PartNumber'] + part['PartNumber'])
            if len(part['child']) > 0:
                edge = self._makeEdge(part, edge)
        return edge
Example #17
0
def assembleKnights():
    roundTable = Digraph(comment="The Round Table")
    roundTable.node('A', 'King Arthur')
    roundTable.node('B', 'Sir Bedevere the Wise')
    roundTable.node('L', 'Sir Lancelot the Brave')
    roundTable.edges(['AB', 'AL'])
    roundTable.edge('B', 'L', constraint='false')
    return roundTable
Example #18
0
 def test(self):
     dot = Digraph(comment='The Round Table')
     dot.node('A', 'King Arthur')
     dot.node('B', 'Sir Bedevere the Wise')
     dot.node('L', 'Sir Lancelot the Brave')
     dot.edges(['AB', 'AL'])
     dot.edge('B', 'L', constraint='false')
     dot.render('output/test.gv', view=True)
Example #19
0
    def drawGraph(self):
        f = Digraph('graph', filename='static/fsm.gv',
                    node_attr={'color': 'lightblue2',
                               'style': 'filled', 'shape': 'circle'})
        f.attr(rankdir='A', size='1000')

        f.edges(self.bridges)
        return f
Example #20
0
def graphviz_try():
    dot = Digraph(comment='The Round Table')
    dot.node('A', 'ROOT')
    dot.node('B', 'LEFT')
    dot.node('L', 'RIGHT')
    dot.edges(['AB', 'AL'])
    dot.edge('B', 'L', constraint='false')
    dot.view()
Example #21
0
def greedyColoring(adj, V, v_list, w_list, edges):
    result = [-1] * V

    # Assign the first color to first vertex
    result[0] = 0;

    # A temporary array to store the available colors.
    # True value of available[cr] would mean that the
    # color cr is assigned to one of its adjacent vertices
    available = [False] * V

    # Assign colors to remaining V-1 vertices
    for u in range(1, V):

        # Process all adjacent vertices and
        # flag their colors as unavailable
        for i in adj[u]:
            if (result[i] != -1):
                available[result[i]] = True

        # Find the first available color
        cr = 0
        while cr < V:
            if (available[cr] == False):
                break

            cr += 1

        # Assign the found color
        result[u] = cr

        # Reset the values back to false
        # for the next iteration
        for i in adj[u]:
            if (result[i] != -1):
                available[result[i]] = False

    color_for_node=""
    g = Digraph('G')
    # Pint the result
    for u in range(V):
        print("Vertex", u, " --->  Color", result[u])
        if (result[u] == 0):
            color_for_node = "red"
        if (result[u] == 1):
            color_for_node = "yellow"
        if (result[u] == 2):
            color_for_node = "purple"
        if (result[u] == 3):
            color_for_node = "blue"
        if (result[u] == 4):
            color_for_node = "gray"
        if (result[u] == 5):
            color_for_node = "green"
        g.attr('node', style='filled', color=color_for_node)
        g.node(str(u))
    g.edges(edges)
    g.render(filename='g1.dot')
Example #22
0
def inheritance_hierarchy(cls):  # pragma: no cover (for visualization only)
    try:
        from graphviz import Digraph as Dot
    except ImportError:
        raise ImportError(
            "visualization of inheritance hierarchies requires graphviz")
    d = Dot("Inheritance hierarchy for {}".format(classpath(cls)))
    d.edges((classpath(c1), classpath(c2)) for c1, c2 in inheritances(cls))
    return d
Example #23
0
def main():
    g = Digraph('passes', filename='passes', format='png')
    g.node('a', 'src')
    g.node('b', 'ast')
    g.node('c', 'simplified ast')
    g.node('e', 'inter-procedure relations')
    g.node('d', 'global name bindings')
    g.edges(['ab', 'bc', 'cd', 'de'])
    g.render('passes', view=True, cleanup=True)
Example #24
0
def print_course_dot(*courseinfo):
    dot = Digraph(name='G')
    dot.attr(rankdir='LR')
    dot.attr('node', width='5', height='1')
    node_names, labels, edges = courseinfo
    for i in range(len(node_names)):
        dot.node(name=node_names[i], label=labels[i])
    dot.edges(edges)
    print(dot.source)
Example #25
0
def generateTree(grammar, string):

    dot = Digraph(comment=f"{grammar.getName()}", format="png")
    dot.attr(rankdir='TB', size='8,5')
    dot.attr('node', shape='circle')
    # dot.node(grammar.getNTInitial())

    nodes = grammar.generateAP(string)
    arrayEdges = []
    print(nodes)

    # ['S', 'z', 'M', 'a', 'M', 'z', 'a', 'N', 'b', 'N', 'z', 'b', 'z']

    i = 65
    nodeTemp = ''
    relation = {}
    relations = []
    marker = False

    for node in nodes:
        dot.node(chr(i), node)
        if nodeTemp != '':
            arrayEdges.append(nodeTemp + chr(i))

        if node in grammar.getNonTerminals():
            if nodeTemp != '':
                arrayEdges.append(nodeTemp + chr(i))
                pushRelations(relation, i, node, relations)
                relation = {}
            nodeTemp = chr(i)

        if node in grammar.getTerminals():
            for production in grammar.getProductions():
                if production["prod"][0] == node:
                    for rel in relations:
                        if rel['value'] == production['NT']:
                            arrayEdges.append(rel['key'] + chr(i))
                            marker = True
                            break

                    if not marker:
                        arrayEdges.append(nodeTemp + chr(i))
                        pushRelations(relation, i, node, relations)
                        relation = {}
                        break
                    break

        else:
            if chr(i) != nodeTemp:
                arrayEdges.append(nodeTemp + chr(i))

        i = i + 1

    # dot.edges(['AB', 'AC', 'CD', 'CE', 'EF', 'CG', 'AH', 'HI', 'HJ', 'JK', 'HL', 'AM'])
    dot.edges(arrayEdges)

    dot.render(filename="three")
Example #26
0
def test1():
    dot = Digraph(comment='The Round Table')
    dot.node('A', 'King Arthur')
    dot.node('B', 'Sir Bedevere the Wise')
    dot.node('L', 'Sir Lancelot the Brave')
    
    dot.edges(['AB', 'AL'])
    dot.edge('B', 'L', constraint='false')
    createDotFile(dot, "test1")
Example #27
0
def test1():
    dot = Digraph(comment='The Round Table')
    dot.node('A', 'King Arthur')
    dot.node('B', 'Sir Bedevere the Wise')
    dot.node('L', 'Sir Lancelot the Brave')

    dot.edges(['AB', 'AL'])
    dot.edge('B', 'L', constraint='false')
    createDotFile(dot, "test1")
Example #28
0
def graph():
    wit_folder_path = does_wit_folder_exists()
    if not wit_folder_path:
        print(
            "The folder '.wit' does not exists in any of the parent folders and thus the function can not operate."
        )
    else:
        rfr_path = os.path.join(wit_folder_path, 'references.txt')
        rfr = open(rfr_path, 'r')
        rfr_lines = rfr.readlines()
        head = rfr_lines[0].split('=')[1].strip()
        parent_path = head
        branches_dict = {}
        commit_id_dict = {}
        descriptor = ord('A')
        b_descriptor = ord('a')
        while parent_path != 'None' and parent_path is not None:
            if ',' in parent_path:
                right_parent_path = parent_path.split(',')[1]
                branches_dict[right_parent_path] = b_descriptor
                parent_path = parent_path.split(',')[0]
                b_descriptor = b_descriptor + 1
            commit_id_dict[parent_path] = descriptor
            descriptor = descriptor + 1
            parent_path = get_parent_id(parent_path)
        dot = Digraph('Commit Id Tree', filename='graph_tree', format='png')
        for commit_id in commit_id_dict:
            dot.node(chr(commit_id_dict[commit_id]), commit_id)
        src = ord('A')
        dst = ord('B')
        edges_list = []
        for _ in range(len(commit_id_dict) - 1):
            edges_list.append(f'{chr(src)}{chr(dst)}')
            src = src + 1
            dst = dst + 1
        for branch in branches_dict:
            descriptor = branches_dict[branch]
            dot.node(chr(descriptor), branch)
            branch_parent = get_parent_id(branch)
            branch_parent_descriptor = commit_id_dict[branch_parent]
            edges_list.append(
                f'{chr(descriptor)}{chr(branch_parent_descriptor)}')
            descriptor = descriptor + 1
            for commit in commit_id_dict:
                f = open(index_path(commit) + '.txt', 'r')
                f_data = f.readlines()
                is_parent_merged = f_data[0].split('=')[1]
                if ',' in is_parent_merged:
                    p = is_parent_merged.split(',')[1].strip()
                    if p == branch:
                        commit_string = commit_id_dict[commit]
                        branch_string = branches_dict[branch]
                        edges_list.append(
                            f'{chr(commit_string)}{chr(branch_string)}')
        dot.edges(edges_list)
        dot.view()
Example #29
0
def draw_graph(l: List[dict],
               filename: Optional[str] = None,
               view: bool = False) -> str:
    """
    Draw a graph from a list of dicts.

    :param l: list of dicts
    :type l: List[dict]

    :param filename: full path for storing the draw graph pdf file
    :type filename: Optional[str]

    :param view: view the graph in the system's default pdf reader after it is rendered
    :type view: Optional[bool]

    :return: full path to the graph pdf file
    :rtype: str
    """
    if filename is None:
        workdir = make_workdir(prefix='graph_')
        filename = os.path.join(workdir, 'graph')

    g = Digraph('G',
                filename=filename,
                format='pdf',
                node_attr={'shape': 'record'})

    o_encounters = []
    o_n_l = []

    for op in l:
        o = list(op.keys())[0]
        params = op[o]
        s = []
        for k in params.keys():
            p = str(params[k]).replace("{", "\\n   --\> ").replace(
                "}", "").replace(
                    "|", "\|"
                )  # .replace("[", " ").replace("(", " ").replace(")", " ")
            s.append(f"{k}: {p}")

        o_n = f"{o}.{o_encounters.count(o)}"
        o_n_l.append(o_n)
        s = '{ ' + o_n + ' | ' + '\\n'.join(s) + ' }'

        g.node(o_n, s)
        o_encounters.append(o)

    es = []
    for i in range(1, len(o_n_l)):
        es.append((o_n_l[i - 1], o_n_l[i]))

    g.edges(es)
    g.render(view=view)

    return filename
Example #30
0
def first_graph():
    dot = Digraph(comment='The Round Table', engine='neato')
    dot.node('A', 'King Arthur', pos='1,2!')
    dot.node('Bc', 'Sir Bedevere the Wise', pos='2,2.5!')
    dot.node('L', 'Sir Lancelot the Brave', pose='0,0!')

    dot.edges([('A', 'Bc'), 'AL'])
    dot.edge('Bc', 'L', constraint='false')

    print(dot.source)
    dot.render('visuals/round-table.gv', view=True)
Example #31
0
    def show_graph(self):
        dot = Digraph()
        for v in self.rvs:
            dot.node(str(v), str(v))
        edges = []
        # for vi, vfs
        dot.edges(f"{vi}{vf}" for vi, vf in self.G)

        print(dot.source)
        file_name = "myplot"
        dot.render(file_name, view=True)
Example #32
0
def main():
    # test sql query
    test_cases = open('test_cases.txt', 'r')


    for test in test_cases:
        statements = Translator.separate_statements(test)
        for statement in statements:
            T = Translator(statement)
            T.Translate()
            #print T, '\n'

            dot = Digraph(comment='query tree')
            dot.node('A', "<&#928;<SUB>" + ' '.join(T.Parsed.select_clause) + "</SUB>>")  # make projection, selection, and join nodes using unicode symbol and subscript HTML tags
            dot.node('B', "<&#963;<SUB>" + ' '.join(T.Parsed.where_clause) + "</SUB>>")
            dot.node('L', "&#215;")  # cross product node

            for x in xrange(len(T.Parsed.from_clause)):
                symbol = str(x)
                dot.node(symbol, T.Parsed.from_clause[x])
                dot.edge('L', symbol, constraint='true')

            dot.edges(['AB', 'BL'])

            print dot

        """
        tree = QueryTree()
        print test

        for statement in statements:
            T = Translator(statement)
            T.Translate()
            print T, '\n'

            if len(T.Parsed.from_clause) > 1:
                join = tree.Node('X', [tree.Node(x) for x in T.Parsed.from_clause])
                select = tree.Node(' '.join(T.Parsed.where_clause), [join])
            else:
                select = tree.Node(' '.join(T.Parsed.where_clause), [tree.Node(i) for i in T.Parsed.from_clause])

            project = tree.Node(' '.join(T.Parsed.select_clause), [select])

            tree.output()
            print
        """
        print '-'*80
from graphviz import Digraph
from datos import data

d=data('mtcars')
subset1= d[d.cyl==6]
dot = Digraph(comment='Tree Diagram', format='png')
dot.attr('node', shape='box')
dot.node_attr.update(color='lightblue2', style='filled')
dot.node('A', 'Car Distribution by Cylindres')
dot.node('B', '6 cylindres')
j=67;
for i in subset1.index:
    dot.node(unichr(j), str(i))   
    j=j+1

dot.edge('A', 'B')
dot.edges(['BC','BD','BE','BF','BG','BH','BI'])
dot.body.append(r'label = "\n\nTree Diagram"')
dot.body.append('fontsize=20')
dot.render('diagram')
Example #34
0
#!/usr/bin/env python
# cluster.py - http://www.graphviz.org/content/cluster

from graphviz import Digraph

g = Digraph('G', filename='cluster.gv')

c0 = Digraph('cluster_0')
c0.body.append('style=filled')
c0.body.append('color=lightgrey')
c0.node_attr.update(style='filled', color='white')
c0.edges([('a0', 'a1'), ('a1', 'a2'), ('a2', 'a3')])
c0.body.append('label = "process #1"')

c1 = Digraph('cluster_1')
c1.node_attr.update(style='filled')
c1.edges([('b0', 'b1'), ('b1', 'b2'), ('b2', 'b3')])
c1.body.append('label = "process #2"')
c1.body.append('color=blue')

g.subgraph(c0)
g.subgraph(c1)

g.edge('start', 'a0')
g.edge('start', 'b0')
g.edge('a1', 'b3')
g.edge('b2', 'a3')
g.edge('a3', 'a0')
g.edge('a3', 'end')
g.edge('b3', 'end')
Example #35
0
from graphviz import Digraph

dot = Digraph(comment="The Round Table")
dot.node("A", "King Arthur")
dot.node("B", "Sir Bedevere the Wise")
dot.node("L", "Sir Lancelot the Brave")
dot.edges(["AB", "AL"])
dot.edge("B", "L", constraint="false")
print(dot.source)
dot.render("test-output/round-table.gv", view=True)
from graphviz import Digraph
import pydot

dot = Digraph(comment='The Round Table')

dot.node('A', 'King Arthur')
dot.node('B', 'Sir Bedevere the Wise')
dot.node('L', 'Sir Lancelot the Brave')

dot.edges(['AB', 'AL'])
dot.edge('B', 'L', constraint='false')

print dot.source
dot.view()
# testoutput.py - Dana Oira

from graphviz import Digraph

c = Digraph('testoutput', filename='testoutput.gv')

c.attr('node', shape='box')
c.attr('graph', rank='same')
c.body.append('{rank=same; "complete"; "1";}')

# c.body.append('{rank=same; "complete"; "1";}')
c.body.append('{ rank=same; "a"; "2" }')
c.body.append('{ rank=same; "b"; "3" }')
c.body.append('{ rank=same; "c"; "4" }')
c.body.append('{ rank=same; "d"; "5" }')
c.body.append('{ rank=same; "e"; "6" }')

c.edges([('complete', 'a'), ('a', 'b'), ('b', 'c'), ('c', 'd')])
c.edge('d', 'e', '', dir='both')
c.node('1')
c.node('2')
c.node('3')
c.node('4')
c.node('5')
c.node('6')
c.node('7')
c.node('8')

print(c.source)

c.view()
from graphviz import Digraph

dot = Digraph()


strict_wfq='static std::map<uint32_t, uint32_t> last_fin_time = {{1, 0}, {2, 0}, {3, 0}, {4, 0}, {5, 0}}; auto ret = last_fin_time.at(static_cast<uint32_t>(x("class"))); last_fin_time.at(static_cast<uint32_t>(x("class"))) += 1; return ret;'

stopandgo='uint32_t now = (uint32_t) x("time");\n'
stopandgo+='static uint32_t frame_end_time=1;\nstatic uint32_t frame_begin_time;'
stopandgo+='if (now > frame_end_time){\nframe_begin_time= frame_end_time;\nframe_end_time= frame_begin_time+1;\n}\n'
stopandgo+= 'return frame_end_time;\n'


txn = header= open("tbfRight.txt",'r')
tbfRight= txn.read()

strict_wfq='static std::map<uint32_t, uint32_t> last_fin_time = {{1, 0}, {2, 0}, {3, 0}, {4, 0}, {5, 0}}; auto ret = last_fin_time.at(static_cast<uint32_t>(x("arrival_time")%2)); last_fin_time.at(static_cast<uint32_t>(x("arrival_time")%2)) += 1; return ret;'



lstf="return (uint32_t) x(\"slack\");"

dot.node('Root', "Name: Root\nPredicate: True \nSchedule: WFQ_Root \nShaping: NULL", predicate="True", schedule=strict_wfq, shaping="NULL" )
dot.node("Left", "Name: Left\nPredicate: True \nSchedule: WFQ_Left \nShaping: NULL", predicate="p.arrival_time==Left", schedule=strict_wfq, shaping="NULL")
dot.node("Right", "Name: Right \nPredicate: True \nSchedule: WFQ_Right \nShaping: TBF_RIGHT", predicate = "p.arrival_time==Right", schedule=strict_wfq, shaping="NULL")
dot.edges([("Root","Left"),("Root","Right")])

print dot.source

dot.render('TBFPaper.gv',view=True)
dot.save('TBFPaper.dot')
Example #39
0
  </TR>
</TABLE>>''')
s.node('struct2', '''<
<TABLE BORDER="0" CELLBORDER="1" CELLSPACING="0">
  <TR>
    <TD PORT="f0">one</TD>
    <TD>two</TD>
  </TR>
</TABLE>>''')
s.node('struct3', '''<
<TABLE BORDER="0" CELLBORDER="1" CELLSPACING="0" CELLPADDING="4">
  <TR>
    <TD ROWSPAN="3">hello<BR/>world</TD>
    <TD COLSPAN="3">b</TD>
    <TD ROWSPAN="3">g</TD>
    <TD ROWSPAN="3">h</TD>
  </TR>
  <TR>
    <TD>c</TD>
    <TD PORT="here">d</TD>
    <TD>e</TD>
  </TR>
  <TR>
    <TD COLSPAN="3">f</TD>
  </TR>
</TABLE>>''')

s.edges([('struct1:f1', 'struct2:f0'), ('struct1:f2', 'struct3:here')])

s.view()
Example #40
0
    def graph(self, file):
        dot = Digraph(comment="LDFI", format='png')
        edges = self.edgeset()

        dot.edges(edges)
        dot.render(file)
        # Generate Interaction Schematic Image
        dot = Digraph(comment='Interaction Schematic')

        # Nodes
        dot.node('A', '{0}: {1}-{2}'.format(uni_gene[cplx1_uni], cplx1_start, int(cplx1_from) - 1), shape='box')
        dot.node('B', '{0}: {1}-{2}'.format(uni_gene[cplx1_uni], cplx1_from, cplx1_to), color='yellow', shape='box')
        dot.node('C', '{0}: {1}-{2}'.format(uni_gene[cplx1_uni], int(cplx1_to) + 1, cplx1_end), shape='box')
        dot.node('E', '{0} Chain {1}'.format(intrcn_cplx, cplx1_chain), color='yellow', shape='box')
        dot.node('F', '{0} Chain {1}'.format(intrcn_cplx, cplx2_chain), color='cyan', shape='box')
        dot.node('G', '{0}: {1}-{2}'.format(uni_gene[cplx2_uni], cplx2_start, int(cplx2_from) - 1), shape='box')
        dot.node('H', '{0}: {1}-{2}'.format(uni_gene[cplx2_uni], cplx2_from, cplx2_to), color='cyan', shape='box')
        dot.node('I', '{0}: {1}-{2}'.format(uni_gene[cplx2_uni], int(cplx2_to) + 1, cplx2_end), shape='box')

        # Edges
        dot.edges(['AB', 'BC', 'GH', 'HI', 'EF'])
        dot.edge('B', 'E', constraint='false', color='gray')
        dot.edge('H', 'F', constraint='false', color='gray')

        dot.format = 'png'
        intrcn_schematic_png_path = '{0}/{1}_scheme'.format(PNG_DIR, intrcn_cplx)
        dot.render(intrcn_schematic_png_path, view=False)
        intrcn_schematic_png_path = '{0}.png'.format(intrcn_schematic_png_path)

        # Generate Fusion Effect Schematic Image
        style = {}
        style = defaultdict(lambda: '',style)

        fillcolor = {}
        fillcolor = defaultdict(lambda: 'lightgrey',fillcolor)
        # Interaction Complex 1