def pyvis(height):
# Load Pyvis network
got_net = Network(height="750px",
width="100%",
bgcolor="#222222",
font_color="white")
got_net.barnes_hut()
got_data = pd.read_csv(
"https://www.macalester.edu/~abeverid/data/stormofswords.csv")
sources = got_data['Source']
targets = got_data['Target']
weights = got_data['Weight']
edge_data = zip(sources, targets, weights)
for e in edge_data:
src = e[0]
dst = e[1]
w = e[2]
got_net.add_node(src, src, title=src)
got_net.add_node(dst, dst, title=dst)
got_net.add_edge(src, dst, value=w)
neighbor_map = got_net.get_adj_list()
for node in got_net.nodes:
node["title"] += " Neighbors:<br>" + "<br>".join(
neighbor_map[node["id"]])
node["value"] = len(neighbor_map[node["id"]])
got_net.write_html("gameofthrones.html")
return got_net.html, height, "Pyvis Network"
def evaluate_match_based(video_space, estimator, plot=True, thr=0.4):
estimator.fit(video_space)
distances, indexes = estimator.kneighbors(video_space, n_neighbors=20)
if plot == True:
plt.hist(distances[:, 1::].ravel(), bins=100)
results, results_distances = filter_results(distances, indexes, thr)
net = Network(notebook=True, height='1000px', width='1000px')
net.barnes_hut()
for i, l in enumerate(labels):
net.add_node(str(i), label=str(l))
for i, d in enumerate(results):
for j, m in enumerate(d):
if j != 0:
net.add_edge(str(i),
str(m),
weight=str(results_distances[i][j]))
net.show_buttons(filter_=['physics'])
net.show('mygraph.html')
return net
def create_viz_html(graph, filename):
filename = ensure_html_filename(filename)
g_vis = Network()
g_vis.barnes_hut()
g_vis.from_nx(graph)
g_vis.show(filename)
def construct_network(df):
g = Network("800px", "100%", bgcolor="#3c4647", font_color="white")
for artist in df.artist:
g.add_node(artist, label=artist, color="#26d18f")
for related in df.related:
g.add_node(related, label=related, color="#8965c7")
g.add_edges(list(zip(df.artist, df.related)))
counts = df.related.value_counts()
for node in g.nodes:
freq = str(counts.get(node['id'], 1))
# nodes with a value will scale their size
# nodes with a title will include a hover tooltip on the node
node.update({"value": freq, "title": f"Frequency: {freq}"})
g.inherit_edge_colors("to")
for e in g.edges:
edge_label = f'{e["from"]} ---> {e["to"]}'
e.update({"title": edge_label})
g.barnes_hut(gravity=-17950,
central_gravity=4.1,
spring_length=220,
spring_strength=.140,
damping=.66,
overlap=1)
g.show("spotify_example.html")
def network_visualization(path='./socnetvis.html', alphabet=False):
weights = {'best': 4, 'good': 2, 'friend': 1, 'acquaintance': 0.5}
net = Network('100%', '100%', bgcolor='#222', font_color='white')
net.barnes_hut()
for name, node in nodes.items():
for connection_type in node['connections']:
for partner in node['connections'][connection_type]:
net.add_node(name, name, title=name)
net.add_node(partner, partner, title=partner)
net.add_edge(name, partner, value=weights[connection_type])
for net_node in net.nodes:
node = nodes[net_node['id']]
net_node['value'] = len(net.get_adj_list()[net_node['id']])
net_node['title'] += f"<br>{net_node['value']} Connections<br>"
if node['notes']:
net_node['title'] += f"<i>{node['notes']}</i><br>"
for connection_type in node['connections']:
if node['connections'][connection_type]:
connections = node['connections'][connection_type]
net_node['title'] += f"<br>{connection_type.capitalize()} " \
f"({len(connections)})<br>  "
net_node['title'] += "<br>  ".join(
sorted(connections) if alphabet else connections) + "<br>"
if not os.path.isdir(os.path.dirname(path)):
os.makedirs(os.path.dirname(path))
net.show(path)
def plotResult(file_in, file_out):
got_net = Network(height="100%",
width="100%",
bgcolor="white",
font_color="black")
got_net.barnes_hut()
got_data = pd.read_csv(file_in)
sources = got_data['From']
targets = got_data['To']
weights = got_data['Weight']
x_array = got_data['x']
y_array = got_data['y']
highlight = got_data['Highlight']
edge_data = zip(sources, targets, weights, x_array, y_array, highlight)
for e in edge_data:
src = e[0]
dst = e[1]
w = e[2]
x_array = e[3]
y_array = e[4]
h = e[5]
v_color_dst = "#ADFF2F" #Green color
image_url = 'cat.png'
v_shape = 'dot'
if (dst in ['central_concentrator'] or h == 1):
image_url = 'cat.png'
v_shape = 'circle'
got_net.add_node(src,
shape=v_shape,
title=src,
x=x_array,
y=y_array,
color="#ADFF2F") #Green color
got_net.add_node(dst,
shape=v_shape,
title=dst,
x=x_array,
y=y_array,
color=v_color_dst)
got_net.add_edge(src, dst, value=h)
neighbor_map = got_net.get_adj_list()
# add neighbor data to node hover data
for node in got_net.nodes:
node["title"] += " Neighbors:<br>" + "<br>".join(
neighbor_map[node["id"]])
node["value"] = len(neighbor_map[node["id"]])
got_net.set_options(
'var options = { "edges": { "arrows": { "middle": { "enabled": true } }, "color": { "inherit": "false"}, "smooth": false},"physics": {"enabled": true, "forceAtlas2Based":{ "gravitationalConstant": -500, "springLength": 100, "avoidOverlap": 1}, "minVelocity": 0.75, "solver": "forceAtlas2Based"}}'
)
got_net.show(file_out)
def build_pyvis(filename):
header = metadata_header(filename)
net = Network("95%", "100%", heading=header)
net.show_buttons()
nodes, edges = triplet(filename)
node_weight = count_node_weight(edges)
for node in nodes:
group = node["labels"] if node["labels"] else ""
net.add_node(
node["alias"],
label=node["name"],
group=group,
size=((sqrt(node_weight[node["alias"]]) + 1) * 5),
)
for edge in edges:
net.add_node(edge["subject"], color="blue")
net.add_node(edge["object"], color="blue")
net.add_edge(edge["subject"], edge["object"], title=edge["predicate"])
net.barnes_hut(
gravity=-4000,
central_gravity=0.3,
spring_strength=0.001,
damping=0.09,
overlap=1,
)
net.show("index.html")
def drawRscRscGraph_advanced(self, RscRscMatrix, weight_threshold, directed, encryption):
rows, cols = np.where(RscRscMatrix > weight_threshold)
weights = list();
for x in range(len(rows)):
weights.append(RscRscMatrix[rows[x]][cols[x]])
#got_net = Network(height="750px", width="100%", bgcolor="white", font_color="#3de975", directed=directed)
got_net = Network(height="750px", width="100%", bgcolor="white", font_color="black", directed=directed)
##f57b2b
# set the physics layout of the network
got_net.barnes_hut()
edge_data = zip(rows, cols, weights)
for e in edge_data:
src = self.resourceList[e[0]] # convert ids to labels
dst = self.resourceList[e[1]]
w = e[2]
if(encryption):
src = Utilities.AES_ECB_Encrypt(self,src.encode('utf-8'))
dst = Utilities.AES_ECB_Encrypt(self,dst.encode('utf-8'))
# I have to add some options here, there is no parameter
highlight = {'border': "#3de975", 'background': "#41e9df"}
#color = {'border': "#000000", 'background': "#123456"}
got_net.add_node(src, src, title=src, labelHighlightBold=True, color={'highlight': highlight})
got_net.add_node(dst, dst, title=dst , labelHighlightBold=True, color={'highlight': highlight})
got_net.add_edge(src, dst, value=w, title=w)
neighbor_map = got_net.get_adj_list()
dict = got_net.get_edges()
self.getResourceList()
# add neighbor data to node hover data
for node in got_net.nodes:
counter = 0
if(directed):
node["title"] = "<h3>" + node["title"] + " Output Links: </h3>"
else:
node["title"] = "<h3>" + node["title"] + " Links: </h3>"
for neighbor in neighbor_map[node["id"]]:
if(counter % 10 == 0):
node["title"] += "<br>::: " + neighbor
else:
node["title"] += " ::: " + neighbor
node["value"] = len(neighbor_map[node["id"]])
counter += 1
got_net.show_buttons(filter_=['nodes', 'edges', 'physics'])
got_net.show_buttons(filter_=['physics'])
got_net.show("PMSocial.html")
def drawActivityResourceGraph_advanced(self, ActivityRscMatrix, weight_threshold, directed, splitted):
rows, cols = np.where(ActivityRscMatrix > weight_threshold)
weights = list();
for x in range(len(rows)):
weights.append(ActivityRscMatrix[rows[x]][cols[x]])
got_net = Network(height="750px", width="100%", bgcolor="black", font_color="#f57b2b", directed= directed)
# set the physics layout of the network
got_net.barnes_hut()
edge_data = zip(rows, cols, weights)
counter = 1
for e in edge_data:
src = self.activityList[e[0]] # convert ids to labels
dst = self.resourceList[e[1]]
w = e[2]
# I have to add some options here, there is no parameter
highlight = {'border': "#3de975", 'background': "#41e9df"}
if(splitted):
got_net.add_node(src, src, title=src, labelHighlightBold=True, color={'highlight': highlight},shape='square')
got_net.add_node(dst+ "__" +str(counter) , dst , title=dst , labelHighlightBold=True, color={'border': "#dd4b39", 'background': "#dd4b39", 'highlight': highlight})
got_net.add_edge(src, dst+ "__" +str(counter), value=w, title=w)
counter +=1
else:
got_net.add_node(src, src, title=src, labelHighlightBold=True, color={'highlight': highlight},shape='square')
got_net.add_node(dst , dst, title=dst , labelHighlightBold=True, color={'border': "#dd4b39", 'background': "#dd4b39", 'highlight': highlight})
got_net.add_edge(src, dst , value=w, title=w)
neighbor_map = got_net.get_adj_list()
dict = got_net.get_edges()
self.getResourceList()
# add neighbor data to node hover data
for node in got_net.nodes:
counter = 0
if(directed):
node["title"] = "<h3>" + node["title"] + " Output Links: </h3>"
else:
node["title"] = "<h3>" + node["title"] + " Links: </h3>"
for neighbor in neighbor_map[node["id"]]:
if(counter % 10 == 0):
node["title"] += "<br>::: " + neighbor
else:
node["title"] += " ::: " + neighbor
node["value"] = len(neighbor_map[node["id"]])
counter += 1
got_net.show_buttons(filter_=['nodes', 'edges', 'physics'])
got_net.show_buttons(filter_=['physics'])
got_net.show("PMSocial.html")
def interactiveGraphExtended(G):
# plot interactive graph using pyvis, with degree, no of node labeled, size depends on nodes' degree
nt = Network(height="750px", width="100%", bgcolor="#222222", font_color="white")
nt.barnes_hut(spring_strength=0.006)
for node in G:
nt.add_node(node, label=G.degree(node), title="I am node "+str(node), value=G.degree(node))
for edge in G.edges:
nt.add_edge(int(edge[0]), int(edge[1]), color='white')
nt.show("nx.html")
def corr_graph(Source=list(windows_df_filtered_tb.Table.unique()), Destination=list(windows_df_filtered_tb.Table.unique())):
sp_graph, sp_list, sp_colors, sp_sizes = shortest_path(windows_df_filtered_tb,Source,Destination)
# Check if the sp_list returned is not NULL which means there is no path and if sp_list == 1 this means that the Table name in Source and Destination is the same
if sp_list is not None and len(sp_list) > 1:
sp_gr=Network(notebook=True, bgcolor="#222222", font_color="white")
sp_gr.add_nodes(sp_list, value=sp_sizes, title=sp_list, color=sp_colors)
sp_gr.barnes_hut()
sp_gr.from_nx(sp_graph)
return(sp_gr.show("graphs/shortest_path_graph.html"))
def interactive(file_in, form):
i = Network(height=1080, width=1920) #can specify your screen resolution
i.toggle_hide_edges_on_drag(False)
i.barnes_hut()
form = str(sys.argv[1])
if sys.argv[1] == '-edgelist':
i.from_nx(nx.read_weighted_edgelist(file_in))
i.show("./temp/" + str(sys.argv[2]) + ".html")
elif sys.argv[1] == '-graphml':
i.from_nx(nx.read_graphml(file_in))
i.show(str(sys.argv[2]) + ".html")
def main():
net = Network(height=600, width=900)
net.barnes_hut()
dbName = "pcapDb"
if (not os.path.exists(dbName)):
conn = sqlite3.connect(dbName)
conn.execute(
"""create table packetdata (src text,dst text,len integer);""")
else:
conn = sqlite3.connect(dbName)
cursor = conn.cursor()
header_struct = struct.Struct('!I')
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.bind(("localhost", 9888))
sock.listen(1)
q = queue.Queue()
reciever, _ = sock.accept()
t = threading.Thread(target=display, args=(q, net))
# t.start()
while (True):
data_len = recvall(reciever, header_struct.size)
(data_len, ) = header_struct.unpack(data_len)
data = recvall(reciever, data_len)
data = pickle.loads(data)
# print(data)
nodes = set()
for i in data:
if (i is None):
continue
src, dst, length = i
# print(type(i))
cursor.execute(
"insert into packetdata (src,dst,len) values(?,?,?)",
(src, dst, length))
nodes.add(src)
nodes.add(dst)
weights = []
# print("Here")
for i in nodes:
la = "IP: " + i
net.add_node(i, label=i, title=la)
for i in data:
if (i is None):
continue
src, dst, weight = i
net.add_edge(src, dst, value=weight)
net.write_html("index.html")
time.sleep(4)
def new_draw(self):
"""
draw the ARN using the class attributes
Args:
nothing
Returns:
a local generated web page
"""
got_net = Network(height="750px",
width="100%",
bgcolor="#222222",
font_color="white")
got_net.heading = "Nucleotids"
# set the physics layout of the network
got_net.barnes_hut()
cp = 0
for nuk in self.list_nucleotide:
for tuples in nuk.tup:
if tuples.relation in self.grps.keys():
relation_type = self.grps.get(tuples.relation)
else:
relation_type = 0
relation_type = str(nuk.paired_type)
got_net.add_node(tuples.tup[0],
label="(" + str(tuples.tup[0]) + ")" +
" -> " + str(tuples.tup[1]) + " : " +
str(relation_type),
group=relation_type)
got_net.add_node(tuples.tup[1],
label="(" + str(tuples.tup[1]) + ")" +
" -> " + str(tuples.tup[0]) + " : " +
str(relation_type),
group=relation_type)
got_net.add_edge(tuples.tup[0], tuples.tup[1])
cp += 1
# got_net.add_node(src, src, title=src)
# got_net.add_node(dst, dst, title=dst)
# got_net.add_edge(src, dst, value=w)
# neighbor_map = got_net.get_adj_list()
# add neighbor data to node hover data
'''for node in got_net.nodes:
node["title"] += " Neighbors:<br>" + \
"<br>".join(neighbor_map[node["id"]])
node["value"] = len(neighbor_map[node["id"]])'''
got_net.show("networkRNA.html")
def vis_graph():
"""
using pyvis
"""
# https://pyvis.readthedocs.io/en/latest/tutorial.html#example-visualizing-a-game-of-thrones-character-network
nt = Network(height="750px", width="100%", bgcolor="#222222", font_color="white")
nt.barnes_hut()
nt.from_nx(G)
neighbor_map = nt.get_adj_list()
for node in nt.nodes:
node["title"] += " neighbors:<br>" + "<br>".join(neighbor_map[node["id"]])
node["value"] = len(neighbor_map[node["id"]])
nt.show("rappers.html")
def make_graph(self, inp):
nx_graph = nx.MultiDiGraph()
nodes = []
inp = ast.literal_eval(str(inp))
inp.sort(key=lambda x: x['value'], reverse=True)
for x in inp:
print(x)
if x["_from"] not in nodes:
nodes.append(x["_from"])
nx_graph.add_node(x["_from"],
title=x['_from'],
color="#557BEA")
if x["_to"] not in nodes:
nodes.append(x["_to"])
nx_graph.add_node(x["_to"], title=x["_to"], color="#557BEA")
if (float(x["value"]) == 1):
nx_graph.add_edge(x["_to"],
x["_from"],
label=round(x["value"], 5),
size=120,
arrowStrikethrough=True,
width=x["value"] * 10,
color="#BB62FF")
else:
if not (nx_graph.has_edge(x["_from"], x["_to"], key=None)
or nx_graph.has_edge(x["_to"], x["_from"], key=None)):
nx_graph.add_edge(x["_from"],
x["_to"],
label=round(x["value"], 5),
arrowStrikethrough=False,
width=x["value"] * 10,
color="#4FCFFF")
nx_graph.add_edge(x["_to"],
x["_from"],
arrowStrikethrough=False,
width=x["value"] * 10,
color="#4FCFFF")
g = Network(height=950,
width=1730,
notebook=True,
directed=True,
bgcolor='#171a23',
font_color='white')
g.toggle_hide_edges_on_drag(True)
g.get_network_data()
g.barnes_hut()
g.from_nx(nx_graph, default_edge_weight=True, default_node_size=70)
g.show("test.html")
self.get_html(0)
def plot_graph(df_path, graph_name=None, graph_options="graph_options.data"):
df = pd.read_csv(df_path)
if graph_name is None:
graph_name = df_path[:df_path.find(".csv")] + "_graph"
with open(graph_options, 'rb') as f:
graph_options = pickle.load(f)
graph = Network(height="100%",
width="100%",
bgcolor="#222222",
font_color="white")
graph.barnes_hut()
create_graph(graph, df)
graph.set_options(graph_options)
graph.show(graph_name + ".html")
def pyvisdraw(g, title='', **kwargs):
'''
use pyvis to draw graph
'''
net = Network(height='100%', width='100%', bgcolor='#222222',
font_color='white', **kwargs)
# net = Network(**kwargs)
net.barnes_hut()
net.from_nx(make_nx(g))
# net.show_buttons(filter_=['physics'])
# net.toggle_physics(1)
Path('~/libcolgraph').expanduser().mkdir(parents=True, exist_ok=True)
path = Path('~/libcolgraph/{}_{}.html'.format(title, len(g))).expanduser()
net.show(str(path))
def visualize(graph_nx, name='graph'):
got_net = Network(height="750px", width="100%", bgcolor="#222222", font_color="white")
# set the physics layout of the network
got_net.barnes_hut()
got_net.from_nx(graph_nx)
# add neighbor data to node hover data
neighbor_map = got_net.get_adj_list()
for node in got_net.nodes:
node["title"] += " Neighbors:<br>" + "<br>".join(neighbor_map[node["id"]])
node["value"] = len(neighbor_map[node["id"]])
got_net.show_buttons()
got_net.show(f'{name}.html')
def pyvisdraw(g, title='', **kwargs):
'''
use pyvis to draw graph
'''
net = Network(height='100%',
width='100%',
bgcolor='#222222',
font_color='white',
**kwargs)
# net = Network(**kwargs)
net.barnes_hut()
net.from_nx(make_nx(g))
# net.show_buttons(filter_=['physics'])
# net.toggle_physics(1)
net.show("viz/{}_{}.html".format(title, len(g)))
def plot_graph(graph,
background_color='white',
font_color='grey',
with_edge_label=True,
central_gravity=2.0,
solver='',
height='750px',
width='100%',
filter_=['']):
''' Creates a pyvis interactive Network Graph from a
NetworkX graph object.
'''
G = Network(notebook=True,
height=height,
width=width,
bgcolor=background_color,
font_color=font_color)
color = {
0: '#fb217f',
1: '#fb217f',
2: '#88b1fb',
3: '#88b1fb',
4: '#88b1fb'
}
deg = dict(graph.in_degree())
for node in graph:
md = max(deg.values())
color_id = min(deg[node], 4)
G.add_node(node,
title=node,
label=node,
size=(md - deg[node] + 1) * 4,
color=color[color_id])
for edge in graph.edges():
if with_edge_label:
label = graph.get_edge_data(edge[0], edge[1])['relation']
else:
label = ''
G.add_edge(edge[0], edge[1], label=label)
if solver == 'barnes_hut':
G.barnes_hut(central_gravity=central_gravity)
else:
G.force_atlas_2based(central_gravity=central_gravity)
G.show_buttons(filter_=filter_)
return G
def create_net_viz(self):
net_viz = Network(height=self.height,
width=self.width,
bgcolor=self.bg_color,
font_color=self.font_color)
net_viz.barnes_hut()
for _, values in self.data.iterrows():
source = str(self.nodes_titles_dict.get(values[self.source_col]))
source_image_path = ImageHandler(values[self.source_col], 'png',
'circled',
self._config).image_path
target = str(self.nodes_titles_dict.get(values[self.target_col]))
target_image_path = ImageHandler(values[self.target_col], 'png',
'circled',
self._config).image_path
source_node_color = self._get_node_color(values[self.source_col])
target_node_color = self._get_node_color(values[self.target_col])
edge_color = get_edge_color(source_node_color, target_node_color)
edge_title = values[self.edge_title_col]
edge_sub_title = values[self.edge_sub_title_col]
weight = 4
net_viz.add_node(source,
label=source,
title=get_node_popup_template(source),
color=source_node_color,
shape='image',
image=source_image_path)
net_viz.add_node(target,
label=target,
title=get_node_popup_template(target),
color=target_node_color,
shape='image',
image=target_image_path)
edge_audio_html_tag = self._get_edge_audio_html_tag(
edge_title, edge_sub_title)
net_viz.add_edge(source,
target,
title=get_edge_popup_template(
edge_title, edge_sub_title,
edge_audio_html_tag),
value=weight,
color=edge_color)
add_node_values(net_viz)
self.net_viz = net_viz
def networkx_graph_to_pyvis_network(
g: nx.Graph,
node_label: str = 'label',
node_title: str = 'title',
node_size: str = 'size',
node_color: str = 'color',
edge_weight: str = 'weight',
height: str = '650px',
width: str = '100%',
notebook: bool = False,
heading: str = '',
gravity: int = -1000,
) -> Network:
node_labels = nx.get_node_attributes(g, node_label)
node_titles = nx.get_node_attributes(g, node_title)
node_sizes = nx.get_node_attributes(g, node_size)
node_colors = nx.get_node_attributes(g, node_color)
edge_widths = nx.get_edge_attributes(g, edge_weight)
network = Network(height=height,
width=width,
directed=nx.is_directed(g),
notebook=notebook,
heading=heading)
for node in g.nodes:
label = node_labels.get(node, node)
title = node_titles.get(node, node)
size = node_sizes.get(node, 10)
color = node_colors.get(node, COLORS[0])
network.add_node(node,
label=label,
title=title,
size=float(size),
color=color)
for edge in g.edges:
width = edge_widths.get(edge, 1)
network.add_edge(*edge, width=float(width))
network.barnes_hut(gravity=gravity)
return network
def sequence_sample(self, sess, chars, vocab):
with open('data/review_example_sequence.txt') as f:
data = f.read()
state = sess.run(self.cell.zero_state(1, tf.float32))
x = np.zeros((1, 1))
for activity in data.split("->"):
x[0, 0] = vocab[activity]
feed = {self.input_data: x, self.initial_state: state}
[probs, state] = sess.run([self.probs, self.final_state], feed)
ps = probs[0]
if activity == "time-out 2":
G = Network(height=1000, width=1000, directed=True)
G.add_node(activity, level=0)
index = 0
for p in ps:
if p > 0.01:
if chars[index] == "\n":
index += 1
continue
print(activity + "\t\t" + chars[index] + "\t{%f}" % p)
G.add_node(chars[index], physics=True, level=1)
G.add_edge(activity,
chars[index],
value=int(p * 100),
title=int(p * 100),
physics=True,
arrowStrikethrough=False)
index += 1
print()
G.barnes_hut(gravity=-10000)
# G.show_buttons()
G.save_graph(
os.path.join(
"results",
re.sub('[-=.#/?:$}]', '', activity) +
"_sequence.html"))
def see_graph(self,
htmlname='MetabolicNetwork.html',
height="1080px",
width="1080px",
colorHighNodes=5):
'''
#***DEPRECATED METHOD***#
#***use see_graph2***#
Provides a visual representation of the network using pyvis
Metabolites are represented by yellow dots
Reationss are represented by green triangles
Metabolite Highlights are represented by red dots and denote highest in_degrees metabolites
if nodes are not metabolites or reaction default blue dot is used
:param htmlname:(str) name of exit file
:param height:(num) height of html window display
:param width:(num) width of html window display
:param colorHighNodes:(int) number of nodes to color highlight, if 0 will not highlight any node
:return: creates html file and opens it on default browser
'''
nt = Network(height, width)
nt.from_nx(self.mnetwork)
for dit in nt.nodes:
if str(dit['title']).startswith('R'):
dit['shape'] = 'triangle'
dit['color'] = 'green'
if str(dit['title']).startswith('M'):
dit['color'] = 'rgb(255, 211, 0)'
nt.show_buttons(filter_=['physics', 'edges'])
nt.inherit_edge_colors_from(False)
if colorHighNodes > 0:
mustcolor = self.biggestM_indegrees(colorHighNodes)
for dit2 in nt.nodes:
if str(dit2['title']) in mustcolor:
dit2['color'] = 'red'
nt.barnes_hut(gravity=-3000)
nt.toggle_stabilization(True)
nt.show(htmlname)
def make_graph(self):
graph_data = []
for key in self.ner_dct.keys():
lst = self.ner_dct[key]
for x in lst:
graph_data.append((key, x[0]))
poi_net = Network(height="750px",
width="100%",
bgcolor="#ffffff",
font_color="blue")
poi_net.barnes_hut()
for i in graph_data:
src = i[0]
dst = i[1]
poi_net.add_node(src, label=src, title="src", color="black")
poi_net.add_node(dst, label=dst, title="dst", color="#dd4b39")
poi_net.add_edge(src, dst)
#change this location
poi_net.save_graph(
"/Users/ankitanand/Box/UB/Fall 2019/IR/Proj1/poi.html")
def show_relations_network_graph(novel_entities: NovelEntities) -> None:
print('Displaying relations graph')
graph = Network(directed=True, bgcolor="#222222", font_color="white")
graph.barnes_hut()
graph.set_edge_smooth('dynamic')
nodes_dict = {}
for named_entity in novel_entities.get_named_entities():
if not any(named_entity.get_kbp_relations()):
continue
nodes_dict[id(named_entity)] = named_entity
value = sum(1 for _ in named_entity.get_as_subject_kbp_relations())
title = named_entity.name
if isinstance(named_entity,
Character) and named_entity.gender != "UNKNOWN":
title += '<br>' + "Gender" + ': ' + named_entity.gender.capitalize(
)
for ext_relation in named_entity.get_as_subject_kbp_relations():
relation_desc, _ = __get_relation_name_and_color(
ext_relation.relation.relation_str)
title += '<br>' + relation_desc.capitalize(
) + ': ' + ext_relation.object_named_entity.name
graph.add_node(n_id=id(named_entity),
label=named_entity.name,
value=value,
title=title)
for named_entity in novel_entities.get_named_entities():
for ext_relation in named_entity.get_as_subject_kbp_relations():
relation_desc, relation_color = __get_relation_name_and_color(
ext_relation.relation.relation_str)
# relation_desc += " of"
graph.add_edge(id(ext_relation.object_named_entity),
id(ext_relation.subject_named_entity),
arrowStrikethrough=True,
physics=True,
title=relation_desc,
color=relation_color)
graph.show("output/" + novel_entities.name + '.html')
def visualize_random_graph(filename, graph, color_by_degree=True, notebook=False):
g = Network(notebook=notebook)
g.barnes_hut()
G_nodes = graph.nodes
# Coloring by degree:
if color_by_degree:
G_degrees = [graph.degree(node) for node in G_nodes]
G_colors = nums_to_greyscale_hex(G_degrees)
for node, color in zip(G_nodes, G_colors):
g.add_node(node, color=color)
# Not coloring by degree:
else:
for node in G_nodes:
g.add_node(node)
for edge in graph.edges:
g.add_edge(*edge)
g.show(filename)
def draw_list(self):
"""
draw the ARN using the class attributes
Args:
nothing
Returns:
a local generated web page
"""
got_net = Network(height="750px",
width="100%",
bgcolor="#222222",
font_color="white")
got_net.heading = "motif detected"
# set the physics layout of the network
got_net.barnes_hut()
cp = 0
for nuk in self.list_motif:
for tuples in nuk.tup:
if tuples.relation in self.grps.keys():
relation_type = self.grps.get(tuples.relation)
else:
relation_type = 0
relation_type = str(nuk.paired_type)
got_net.add_node(tuples.tup[0],
label="(" + str(tuples.tup[0]) + ")" +
" -> " + str(tuples.tup[1]) + " : " +
str(relation_type),
group=relation_type)
got_net.add_node(tuples.tup[1],
label="(" + str(tuples.tup[1]) + ")" +
" -> " + str(tuples.tup[0]) + " : " +
str(relation_type),
group=relation_type)
got_net.add_edge(tuples.tup[0], tuples.tup[1])
cp += 1
def make_graph(subjects: list):
# read data
df = pd.DataFrame()
for subject in subjects:
courses = pd.read_json(f"courses/{subject}.json")
df = pd.concat([df, courses])
edge_list = make_edge_list(df)
node_list, title_list = make_node_list(df)
# make graph
g = Network(directed=True,
height="650px",
width="100%",
bgcolor="#222222",
font_color="white")
g.barnes_hut() # spring physics on the edges
g.inherit_edge_colors(False)
g.add_nodes(node_list, title=title_list)
for edge in edge_list:
g.add_edge(edge[0], edge[1], color="#94c4fc")
# add neighbor data to node hover data
for node in g.nodes:
prereq = df[df["label"] == node["label"]]["prereq"]
prereq = [] if prereq.empty else prereq.item()
next_courses = g.neighbors(node["label"])
node["title"] += "<br>Prerequisites:<br>" \
+ "<br>".join(prereq) \
+ "<br>Next courses:<br>" \
+ "<br>".join(next_courses)
node["value"] = len(next_courses) + len(prereq)
# highlight the node if it serves as a prerequisites for more than 5 course
node["font"]["size"] = node["value"] * 5
if node["value"] >= 8:
node["color"] = "red"
return g
