def plot_chnx_sample():
df = pd.read_csv(DATA_URL + '/fanti.edgelist',
sep='\t',
header=None,
names=['ch1', 'ch2'])
df = df.head(100)
df.drop_duplicates(keep='first', inplace=True)
nodes = [{
"name": ch,
"symbolSize": 10
} for ch in set(df['ch1'].unique()) | set(df['ch2'].unique())]
links = [{"source": value[0], "target": value[1]} for value in df.values]
graph = Graph("汉字-样例关系图", width=1200, height=600)
graph.add("",
nodes,
links,
repulsion=80,
layout=None,
graph_edge_length=150,
is_roam=True,
is_label_show=True,
is_legend_show=True,
draggable=False,
lineStyle='-.',
graph_edge_symbol=['circle', 'arrow'])
graph.render()
context = dict(myechart=graph.render_embed(),
host='/static/js',
script_list=graph.get_js_dependencies())
return context
def get(self, request, *args, **kwargs):
from py2neo import Graph as neo4j
template_name = 'echart/echart.html'
echart = Graph("关系图谱")
graph = neo4j('http://192.168.134.4:7474',
username='******',
password='******')
data1 = graph.run(
"match(n1:Actor{name:'沈腾'})-[r1]->(m1:Movie) return n1.name,type(r1),m1.name;"
).to_table()
data2 = graph.run(
"match(n1:Actor{name:'沈腾'})-[r1]->(m1:Movie)<-[r2]-(n2:Actor) return n2.name,type(r2),m1.name;"
).to_table()
nodes = [
{
"name": "沈腾",
"symbolSize": 10,
"category": 1
},
]
links = []
for d in data1:
nodes.append({"name": d[2], "symbolSize": 20, "category": 0})
links.append({"source": d[0], "target": d[2]})
for d in data2:
nodes.append({"name": d[0], "symbolSize": 10, "category": 1})
links.append({"source": d[0], "target": d[2]})
categories = ["电影", "演员"]
# print(nodes)
# print(links)
echart.add("测试",
nodes,
links,
categories=categories,
is_label_show=True,
is_focusnode=True,
is_roam=True,
is_rotatelabel=True,
graph_repulsion=150)
context = dict(myechart=echart.render_embed(),
host=REMOTE_HOST,
script_list=echart.get_js_dependencies())
return render(request, template_name, context)
def plot_chnx(ch1=None, ch2=None, check_code=None):
# df = pd.read_csv(DATA_URL + '/chinese_characters.csv')
df = pd.read_csv(DATA_URL + '/fanti.edgelist',
sep='\t',
header=None,
names=['ch1', 'ch2'])
df.drop_duplicates(keep='first', inplace=True)
if check_code in [1, 5]:
df = df.loc[(df['ch1'] == ch1) | (df['ch2'] == ch1)]
nodes = [{
"name": ch,
"symbolSize": 10,
"itemStyle": {
"normal": {
"color": 'red'
}
}
} for ch in set(df['ch1'].unique()) | set(df['ch2'].unique())]
links = [{
"source": value[0],
"target": value[1],
"lineStyle": {
"normal": {
"color": 'green'
}
}
} for value in df.values]
graph = Graph("汉字-关系图", width=1200, height=600)
graph.add("",
nodes,
links,
repulsion=80,
layout="force",
graph_edge_length=150,
is_roam=True,
is_label_show=True,
is_legend_show=True,
draggable=True,
lineStyle='-.',
graph_edge_symbol=['circle', 'arrow'])
graph.render()
elif check_code == 4:
df = df.loc[(df['ch1'] == ch1) | (df['ch2'] == ch1) |
(df['ch1'] == ch2) | (df['ch2'] == ch2)]
df1 = df.loc[((df['ch1'] == ch1) & (df['ch2'] != ch2)) |
((df['ch2'] == ch1) & (df['ch1'] != ch2))]
df2 = df.loc[((df['ch1'] == ch2) & (df['ch2'] != ch1)) |
((df['ch2'] == ch2) & (df['ch1'] != ch1))]
df3 = df.loc[((df['ch1'] == ch1) & (df['ch2'] == ch2)) |
((df['ch2'] == ch1) & (df['ch1'] == ch2))]
nodes = [{
"name": ch,
"symbolSize": 10,
"itemStyle": {
"normal": {
"color": 'red'
}
}
} for ch in set(df1['ch1'].unique()) | set(df1['ch2'].unique())]
nodes += [{
"name": ch,
"symbolSize": 10,
"itemStyle": {
"normal": {
"color": 'blue'
}
}
} for ch in set(df2['ch1'].unique()) | set(df2['ch2'].unique())]
links = [{
"source": value[0],
"target": value[1],
"lineStyle": {
"normal": {
"color": 'PaleTurquoise'
}
}
} for value in df1.values]
links += [{
"source": value[0],
"target": value[1],
"lineStyle": {
"normal": {
"color": 'gray'
}
}
} for value in df2.values]
links += [{
"source": value[0],
"target": value[1],
"lineStyle": {
"normal": {
"color": 'Teal'
}
}
} for value in df3.values]
graph = Graph("汉字-关系图", width=1200, height=600)
graph.add("",
nodes,
links,
repulsion=80,
layout="force",
graph_edge_length=150,
is_roam=True,
is_label_show=True,
is_legend_show=True,
draggable=True,
lineStyle='-.',
graph_edge_symbol=['circle', 'arrow'])
graph.render()
elif check_code == 6:
df = df.loc[(df['ch1'] == ch2) | (df['ch2'] == ch2)]
nodes = [{
"name": ch,
"symbolSize": 10,
"itemStyle": {
"normal": {
"color": 'red'
}
}
} for ch in set(df['ch1'].unique()) | set(df['ch2'].unique())]
links = [{
"source": value[0],
"target": value[1],
"lineStyle": {
"normal": {
"color": 'green'
}
}
} for value in df.values]
graph = Graph("汉字-关系图", width=1200, height=600)
graph.add("",
nodes,
links,
repulsion=80,
layout="force",
graph_edge_length=150,
is_roam=True,
is_label_show=True,
is_legend_show=True,
draggable=True,
lineStyle='-.',
graph_edge_symbol=['circle', 'arrow'])
graph.render()
context = dict(myechart=graph.render_embed(),
host='/static/js',
script_list=graph.get_js_dependencies())
context.update(network_info(ch1, ch2))
return context