def drawGraphRelation():
from pyecharts import Graph
nodes = [{
"name": "结点1",
"symbolSize": 10
}, {
"name": "结点2",
"symbolSize": 20
}, {
"name": "结点3",
"symbolSize": 30
}, {
"name": "结点4",
"symbolSize": 40
}, {
"name": "结点5",
"symbolSize": 50
}, {
"name": "结点6",
"symbolSize": 40
}, {
"name": "结点7",
"symbolSize": 30
}, {
"name": "结点8",
"symbolSize": 20
}]
links = []
for i in nodes:
for j in nodes:
links.append({"source": i.get('name'), "target": j.get('name')})
graph = Graph("关系图-力引导布局示例")
graph.add("", nodes, links, repulsion=8000)
graph.render()
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 bulild_html(result, action, disease):
links = []
nodes = []
try:
for triples in result:
if 'drug' in triples.keys():
s = "drug:" + triples['drug']['value'].split('/')[-1]
p = "action:" + action
o = "gene:" + triples['gene']['value'].split('/')[-1]
pp = "action:" + "cure"
oo = disease
else:
s = "disease:" + triples['disease']['value'].split('/')[-1]
p = "action:" + "relate_to"
o = "gene:" + triples['gene']['value'].split('/')[-1]
pp = "action:" + "cause"
oo = "mutation:" + triples['mutation']['value'].split('/')[-1]
mm = {"name": s, "symbolSize": 20}
nn = {"name": o, "symbolSize": 20}
kk = {"name": oo, "symbolSize": 20}
if mm not in nodes:
nodes.append(mm)
if nn not in nodes:
nodes.append(nn)
if kk not in nodes:
nodes.append(kk)
links.append({"source": s, "value": p, "target": o})
links.append({"source": o, "value": pp, "target": oo})
graph = Graph("基因-疾病-药物")
graph.add("", nodes, links, graph_repulsion=400)
graph.render(
path=r"E:\KG_DEMO\AGAC_KGQA_PART\kgqa\templates\kgqa\render.html")
except TypeError:
pass
def test_graph_force_layout():
links = []
for i in nodes:
for j in nodes:
links.append({"source": i.get('name'), "target": j.get('name')})
graph = Graph("关系图-力引导布局示例")
graph.add("", nodes, links, repulsion=8000, line_color='#aaa')
graph.render()
def test_graph_force_layout():
links = []
for i in nodes:
for j in nodes:
links.append({"source": i.get('name'), "target": j.get('name')})
graph = Graph("关系图-力引导布局示例")
graph.add("", nodes, links, repulsion=8000, line_color='#aaa')
graph.render()
def test_graph_circular_layout():
links = []
for i in nodes:
for j in nodes:
links.append({"source": i.get('name'), "target": j.get('name')})
graph = Graph("关系图-环形布局示例")
graph.add("", nodes, links, is_label_show=True, graph_repulsion=8000,
graph_layout='circular', label_text_color=None)
graph.render()
def guanxitu():
'''显示微博转发关系图'''
with open("./jsonweibo.json", "r", encoding="utf-8") as f:
j = json.load(f)
nodes, links, categories, cont, mid, userl = j
graph = Graph("微博转发关系图", width=1200, height=600)
graph.add("", nodes, links, categories, label_pos="right", repulsion=50, is_legend_show=False, line_curve=0.2,
label_text_color=None)
# graph.show_config()
graph.render()
def test_graph_official_data():
import json
if PY2:
import codecs
with codecs.open(os.path.join("..", "json", "weibo.json"), "rb") as f:
j = json.load(f)
else:
with open(os.path.join("..", "json", "weibo.json"),
"r", encoding="utf-8") as f:
j = json.load(f)
nodes, links, categories, cont, mid, _ = j
graph = Graph("微博转发关系图", width=1200, height=600)
graph.add("", nodes, links, categories, label_pos="right",
graph_repulsion=50, is_legend_show=False,
line_curve=0.2, label_text_color=None)
graph.render()
def drawGraphRelation1():
from pyecharts import Graph
nodes = [{
"name": "结点1",
"symbolSize": 10
}, {
"name": "结点2",
"symbolSize": 20
}, {
"name": "结点3",
"symbolSize": 30
}, {
"name": "结点4",
"symbolSize": 40
}, {
"name": "结点5",
"symbolSize": 50
}, {
"name": "结点6",
"symbolSize": 40
}, {
"name": "结点7",
"symbolSize": 30
}, {
"name": "结点8",
"symbolSize": 20
}]
links = []
for i in nodes:
for j in nodes:
links.append({"source": i.get('name'), "target": j.get('name')})
graph = Graph("关系图-环形布局示例")
graph.add(
"",
nodes,
links,
is_label_show=True,
graph_repulsion=8000,
graph_layout="circular",
label_text_color=None,
)
graph.render()
def ego_network(author , ego_dic):
#ego_dic = load_pickle(dic_dir)
nodes = [{'name':author, 'symbolSize':auscore[author][0]*10**6}]
links = []
#print(ego_dic[author].items())
for item in ego_dic[author].items():
if item[0] not in auscore.keys():
nodes.append({'name': item[0], 'symbolSize': 5})
links.append({"source": author, "target": item[0], 'value': item[1]})
else:
nodes.append({'name': item[0], 'symbolSize': auscore[item[0]][0]*10**6})
links.append({"source": author, "target": item[0], 'value': item[1]})
graph = Graph("Ego-network of %s"%author, width= 900, height = 800)
graph.add("", nodes, links,
is_label_show=True,label_text_color='g',
repulsion=8000, is_focusnode=True, is_rotatelabel=True, is_roam=True,
tooltip_formatter=formatter)
graph.on(events.MOUSE_CLICK, on_click)
graph.render(path='./Ego-nw-html/'+author+".html")
return ego_dic[author]
def draw_graph():
nodes = [{
"name": "结点1",
"symbolSize": 10
}, {
"name": "结点2",
"symbolSize": 20
}, {
"name": "结点3",
"symbolSize": 30
}, {
"name": "结点4",
"symbolSize": 40
}, {
"name": "结点5",
"symbolSize": 50
}, {
"name": "结点6",
"symbolSize": 40
}, {
"name": "结点7",
"symbolSize": 30
}, {
"name": "结点8",
"symbolSize": 20
}]
links = []
for i in nodes:
for j in nodes:
links.append({"source": i.get('name'), "target": j.get('name')})
graph = Graph("关系图-环形布局示例")
graph.add("",
nodes,
links,
is_label_show=True,
repulsion=8000,
layout='circular',
label_text_color=None)
graph.show_config()
graph.render()
def draw_network(self, layout="force"):
"""将网络可视化输出"""
if self.scale > 10000: # 对于太大的网络，可视化意义不大且效率极低，故只对小型网络进行可视化
print("网络规模太大(" + str(self.scale) + ")，不支持可视化！请抽取更小的子网络进行可视化")
return
g = self.network
partition = community.best_partition(g)
if layout.lower() != 'force' and layout.lower() != 'circular':
raise ValueError("没有这种布局！布局请选择force或circular")
# 获取节点名称映射
names = nx.get_node_attributes(g, 'name')
nodes = [{
'name':
names[n],
'symbolSize':
math.log2(nx.degree(g, n, weight=self.weight_type) + 1),
'category':
partition[n]
} for n in g.nodes()]
links = [{
'source': names[e[0]],
'target': names[e[1]],
'value': e[2][self.weight_type]
} for e in g.edges]
graph = Graph(self.net_type, width=1200, height=750)
graph.add(
"",
nodes,
links,
categories=list(set(partition.values())),
label_pos="right",
graph_repulsion=50,
graph_layout=layout,
is_legend_show=False,
line_curve=0.2,
label_text_color=None,
)
graph.render(self.net_type + '.html')
def echartshow(nodes, links, execlpath, Preservationpath, flogg=False):
if flogg:
partstr = '有收付标志'
else:
partstr = '无收付标志'
graph = Graph(os.path.basename(execlpath).split('.')[0] + partstr + "图例",
width=1920,
height=1080)
graph.add("",
nodes,
links,
is_label_show=False,
repulsion=50,
is_focusnode=True,
is_roam=True,
graph_layout='force',
line_color="rgba（50,50,50,0.7）",
graph_edge_symbol=['circle', 'arrow'])
graph.render(
(str(Preservationpath) + os.path.basename(execlpath).split('.')[0] +
partstr + '.html'))
# if __name__ == "__main__":
# execlpath = r'账户交易明细表.xls'
# execlpath1=r'账户交易明细表副本.xlsx'
# Preservationpath = r'result/'
# sourceaccount = '交易账卡号'
# targetaccount = '对手账号'
# value = '交易金额'
# label = '收付标志'
# #xls
# execlfileVisual(execlpath, Preservationpath, sourceaccount, targetaccount, value, label)
# execlfileVisual(execlpath, Preservationpath, sourceaccount, targetaccount, value)
# # #xlsx
# execlfileVisual(execlpath1, Preservationpath, sourceaccount, targetaccount, value, label)
# execlfileVisual(execlpath1, Preservationpath, sourceaccount, targetaccount, value)
def visualize(self,rangee,com_name):
#可视化为名为render的html文件
nodes=[]
for n in self.SnapGraph.Nodes():
if n.GetId() in rangee:
size=np.sqrt(n.GetDeg())
if n.GetId() in self.topnlist:
size=20
nodes.append({"name":n.GetId(),
"symbolSize":size,
"category":self.ComStructDict[com_name][n.GetId()]})
links=[]
for n in self.SnapGraph.Nodes():
if n.GetId() in rangee:
for j in n.GetOutEdges():
if j in rangee:
links.append({"source": n.GetId(), "target": j})
graph = Graph("try")
graph.add("", nodes, links,categories=self.categories[com_name], repulsion=50,line_curve=0.2,
graph_edge_symbol= ['circle', 'arrow'])
graph.render()
def graph_show(edge_list):
nodes = []
links = []
nodes_list = []
w_min = sys.float_info.max
w_max = 0
for edge in edge_list:
u, v, w = edge.getLeft(), edge.getRight(), edge.getWeight()
if w < w_min:
w_min = w
if w > w_max:
w_max = w
if u not in nodes_list:
nodes_list.append(u)
nodes.append({"name": str(u), "symbolSize": 10})
if v not in nodes_list:
nodes_list.append(v)
nodes.append({"name": str(v), "symbolSize": 10})
links.append({"source": str(u), "target": str(v), "value": w})
print("min w:", w_min)
print("max w:", w_max)
graph = Graph("Minimum Spanning Tree")
graph.add("",
nodes,
links,
graph_layout='force',
graph_edge_length=[w_min, w_max],
graph_gravity=0,
graph_repulsion=0,
is_label_show=True)
graph.show_config()
graph.render()
def gen_graph(csv_file):
dc = read_network(csv_file)
max_degree = max(dc.values())
nodes = [node for node in dc.keys() if dc[node] != 1]
links = []
with open(csv_file, 'r') as f:
f_csv = csv.reader(f)
for row in f_csv:
source, target = row
if source not in nodes or target not in nodes:
continue
else:
link = {'source': source, 'target': target}
links.append(link)
nodes = [{
'name': node,
'symbolSize': math.log10(dc[node]) / math.log10(max_degree) * 20,
'value': dc[node]
} for node in nodes]
graph = Graph(title='微博传播网络图', width=1080, height=800)
graph.add('', nodes, links, is_label_show=True, line_curve=0.2)
graph.render()
def draw_relation_2():
sql = "select distinct(fid),`name`,relation_gen from renren_user_info where relation_gen < 2"
nodes, categories = db_pool.execute_query_sql(sql, fetch_user_data)
r_sql = """select r.fid,r.tid from renren.renren_relation r where tid in (%s)"""
s = ''
for node in nodes:
s += "'" + node['fid'] + "',"
links = db_pool.execute_query_sql(r_sql % s[0:len(s) - 1],
fetch_relation_data)
graph = Graph("人人好友关系", width=1200, height=600)
graph.add(
"",
nodes,
links,
categories,
label_pos="right",
graph_repulsion=50,
is_legend_show=False,
line_curve=0.2,
label_text_color=None,
)
graph.render()
def draw_map(AS):
graph = Graph("AS Links Map")
nodes = []
maxDegree = 0
for key in AS:
if len(AS[key]) >= maxDegree:
maxDegree = len(AS[key])
for key in AS:
singleNode = {"name": "AS" + key, "symbolSize": (len(AS[key]) + 1) / (maxDegree + 1) * 5}
nodes.append(singleNode)
links = []
for i in nodes:
key = i.get('name')[2:]
for j in AS[key]:
links.append({"source": i.get('name'), "target": "AS" + j})
graph.add("AS Links Map", nodes, links, layout="cycle")
graph.render()
def test_graph():
# graph_0
nodes = [{"name": "结点1", "symbolSize": 10},
{"name": "结点2", "symbolSize": 20},
{"name": "结点3", "symbolSize": 30},
{"name": "结点4", "symbolSize": 40},
{"name": "结点5", "symbolSize": 50},
{"name": "结点6", "symbolSize": 40},
{"name": "结点7", "symbolSize": 30},
{"name": "结点8", "symbolSize": 20}]
links = []
for i in nodes:
for j in nodes:
links.append({"source": i.get('name'), "target": j.get('name')})
graph = Graph("关系图-力引导布局示例")
graph.add("", nodes, links, repulsion=8000)
graph.show_config()
graph.render()
# graph_1
graph = Graph("关系图-环形布局示例")
graph.add("", nodes, links, is_label_show=True,
graph_repulsion=8000, graph_layout='circular', label_text_color=None)
graph.show_config()
graph.render()
# graph_2
import json
if PY2:
import codecs
with codecs.open(os.path.join("..", "json", "weibo.json"), "rb") as f:
j = json.load(f)
else:
with open(os.path.join("..", "json", "weibo.json"), "r", encoding="utf-8") as f:
j = json.load(f)
nodes, links, categories, cont, mid, userl = j
graph = Graph("微博转发关系图", width=1200, height=600)
graph.add("", nodes, links, categories, label_pos="right", graph_repulsion=50,
is_legend_show=False, line_curve=0.2, label_text_color=None)
graph.show_config()
graph.render()
def test_graph():
# graph_0
nodes = [{"name": "结点1", "symbolSize": 10},
{"name": "结点2", "symbolSize": 20},
{"name": "结点3", "symbolSize": 30},
{"name": "结点4", "symbolSize": 40},
{"name": "结点5", "symbolSize": 50},
{"name": "结点6", "symbolSize": 40},
{"name": "结点7", "symbolSize": 30},
{"name": "结点8", "symbolSize": 20}]
links = []
for i in nodes:
for j in nodes:
links.append({"source": i.get('name'), "target": j.get('name')})
graph = Graph("关系图-力引导布局示例")
graph.add("", nodes, links, repulsion=8000)
graph.show_config()
graph.render()
# graph_1
graph = Graph("关系图-环形布局示例")
graph.add("", nodes, links, is_label_show=True, repulsion=8000, layout='circular', label_text_color=None)
graph.show_config()
graph.render()
# graph_2
import json
if PY2:
import codecs
with codecs.open(os.path.join("..", "json", "weibo.json"), "rb") as f:
j = json.load(f)
else:
with open(os.path.join("..", "json", "weibo.json"), "r", encoding="utf-8") as f:
j = json.load(f)
nodes, links, categories, cont, mid, userl = j
graph = Graph("微博转发关系图", width=1200, height=600)
graph.add("", nodes, links, categories, label_pos="right", repulsion=50, is_legend_show=False, line_curve=0.2,
label_text_color=None)
graph.show_config()
graph.render()
},
{
"name": "结点6",
"symbolSize": 20
},
{
"name": "结点7",
"symbolSize": 20
},
{
"name": "结点8",
"symbolSize": 10
},
]
links = []
for i in nodes:
for j in nodes:
links.append({"source": i.get("name"), "target": j.get("name")})
graph = Graph("关系图-力引导布局示例") #width=1200,height=600)
graph.add("",
nodes,
links,
is_label_show=True,
repulsion=8000,
graph_layout="circular",
label_pos="right")
graph.render()
data = [[i, j, random.randint(0, 50)] for i in range(24) for j in range(7)]
print(data)
"name": "宿州学院",
"symbolSize": 40
}, {
"name": "安徽大学",
"symbolSize": 50
}, {
"name": "铜陵学院",
"symbolSize": 40
}, {
"name": "中国科技大学",
"symbolSize": 30
}, {
"name": "安徽理工大学",
"symbolSize": 20
}]
links = []
for i in nodes:
for j in nodes:
links.append({"source": i.get('name'), "target": j.get('name')})
graph = Graph("关系图-环形布局示例")
graph.add("",
nodes,
links,
is_label_show=True,
repulsion=8000,
layout='circular',
label_text_color='#000',
line_curve=0.05)
graph.show_config()
graph.render(r"Graph（关系图）.html")
# coding=utf8
"""
本示例使用 networkx 库构建复杂、更人性化的的关系图
安装 pip install networkx
参考 https://networkx.github.io/
"""
from __future__ import unicode_literals
import networkx as nx
from networkx.readwrite import json_graph
from pyecharts import Graph
g = nx.Graph()
g.add_node('G1', name='Gateway 1')
g.add_node('N2', name='Node 2')
g.add_node('N3', name='Node 3')
g.add_edge('G1', 'N2')
g.add_edge('G1', 'N3')
g_data = json_graph.node_link_data(g)
eg = Graph('设备最新拓扑图')
eg.add('Devices', nodes=g_data['nodes'], links=g_data['links'])
eg.render()
"name": "结点4"
}, {
"name": "结点5"
}, {
"name": "结点6"
}, {
"name": "结点7"
}, {
"name": "结点8"
}]
links = []
for i in nodes:
#print 'i----',i
for j in nodes:
links.append({"source": i.get('name'), "target": j.get('name')})
for x1 in links:
print 'x'
for x2 in x1:
print '%s ---- %s' % (x2, x1[x2])
graph = Graph("关系图-环形布局示例")
graph.add("",
nodes,
links,
is_label_show=True,
graph_repulsion=8000,
label_text_color=None)
graph.render('graph.html')
print 'ok'
print(len(nodes))
print(
len(
set([links_v[i]['source'] for i in range(len(links_v))] +
[links_v[i]['target'] for i in range(len(links_v))])))
print(nodes[:10])
print(links_v[:10])
print('rendering....')
title = 'Connections between actors'
g = Graph(title, title_pos='center')
g.add('', nodes, links_v, graph_edge_length=[10, 100], graph_gravity=0.1)
g.render(title + '.html')
#-----------------------------------------------------------------------
from pyecharts import Graph
import itertools
dfv = df.loc[df['title_year'] > 2011, :]
connection = ['actor_' + str(i + 1) + '_name' for i in range(3)]
fl = ['actor_' + str(i + 1) + '_facebook_likes' for i in range(3)]
df_fl = pd.DataFrame({'actor': [], 'FL': []})
for i in range(3):
df0 = pd.DataFrame({
'actor': dfv.loc[:, connection[i]],
"symbolSize": 30
}, {
"name": "结点4",
"symbolSize": 40
}, {
"name": "结点5",
"symbolSize": 50
}, {
"name": "结点6",
"symbolSize": 40
}, {
"name": "结点7",
"symbolSize": 30
}, {
"name": "结点8",
"symbolSize": 20
}]
links = []
for i in nodes:
for j in nodes:
links.append({"source": i.get('name'), "target": j.get('name')})
graph = Graph("关系图-环形布局示例")
graph.add("",
nodes,
links,
is_label_show=True,
graph_repulsion=8000,
graph_layout='circular',
label_text_color=None)
graph.render("./img/关系图.html")
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
def drawGraphRelation2():
from pyecharts import Graph
nodes = [{
"name": "rule1",
"symbolSize": 20
}, {
"name": "rule2",
"symbolSize": 20
}, {
"name": "rule3",
"symbolSize": 20
}, {
"name": "rule4",
"symbolSize": 20
}, {
"name": "rule5",
"symbolSize": 20
}, {
"name": "rule6",
"symbolSize": 20
}, {
"name": "rule7",
"symbolSize": 20
}, {
"name": "rule8",
"symbolSize": 20
}, {
"name": "rule9",
"symbolSize": 20
}, {
"name": "rule1_1",
"symbolSize": 10
}, {
"name": "rule1_2",
"symbolSize": 10
}, {
"name": "rule1_3",
"symbolSize": 10
}, {
"name": "rule2_1",
"symbolSize": 10
}, {
"name": "rule2_2",
"symbolSize": 10
}, {
"name": "rule2_1_1",
"symbolSize": 10
}, {
"name": "rule2_1_2",
"symbolSize": 10
}, {
"name": "rule2_1_3",
"symbolSize": 10
}, {
"name": "rule2_2_1",
"symbolSize": 10
}, {
"name": "rule3_1",
"symbolSize": 10
}, {
"name": "rule3_2",
"symbolSize": 10
}, {
"name": "rule0",
"symbolSize": 30
}]
links = []
links.append({"source": "rule0", "target": "rule1"})
links.append({"source": "rule0", "target": "rule2"})
links.append({"source": "rule0", "target": "rule3"})
links.append({"source": "rule0", "target": "rule4"})
links.append({"source": "rule0", "target": "rule5"})
links.append({"source": "rule0", "target": "rule6"})
links.append({"source": "rule0", "target": "rule7"})
links.append({"source": "rule0", "target": "rule8"})
links.append({"source": "rule0", "target": "rule9"})
links.append({"source": "rule1", "target": "rule1_1"})
links.append({"source": "rule1", "target": "rule1_2"})
links.append({"source": "rule1", "target": "rule1_3"})
links.append({"source": "rule2", "target": "rule2_1"})
links.append({"source": "rule2", "target": "rule2_2"})
links.append({"source": "rule2_1", "target": "rule2_1_1"})
links.append({"source": "rule2_1", "target": "rule2_1_2"})
links.append({"source": "rule2_1", "target": "rule2_2_1"})
links.append({"source": "rule3", "target": "rule3_1"})
links.append({"source": "rule3", "target": "rule3_2"})
graph = Graph("Demo of Pyechart - Rule relationship")
graph.add(
"",
nodes,
links,
is_label_show=True,
#graph_repulsion=8000,
graph_repulsion=80000,
line_curve=0.2,
graph_layout="circular",
label_text_color=None,
)
graph.render()
# -*- coding: utf-8 -*-
"""
Created on Thu Aug 10 15:23:34 2017
@author: 17549
"""
from pyecharts import Graph
import json
with open("..\json\weibo.json", "r", encoding="utf-8") as f:
j = json.load(f)
nodes, links, categorise, cont, mid, userl = j
graph = Graph("微博转发关系图", width=1200, height=600)
graph.add("",
nodes,
links,
categories,
label_pos="right",
repulsion=50,
is_legend_show=False,
line_curve=0.2,
label_text_color=None)
graph.show_config()
graph.render(r"E:\6_关系图-力应布局.html")
}, {
"name": "结点6",
"symbolSize": 40
}, {
"name": "结点7",
"symbolSize": 30
}, {
"name": "结点8",
"symbolSize": 20
}]
links = []
for i in nodes:
for j in nodes:
links.append({"source": i.get('name'), "target": j.get('name')})
graph = Graph("关系图-环形布局示例")
graph.add("",
nodes,
links,
is_label_show=True,
graph_repulsion=800000,
graph_layout='circular',
label_text_color=None,
is_focusnode=True,
is_roam=True,
is_rotatelabel=False,
layout="force",
edge_length=100,
gravity=0.001,
repulsion=100)
graph.render("graph.html")
"name": "结点2",
"symbolSize": 20
}, {
"name": "结点3",
"symbolSize": 30
}, {
"name": "结点4",
"symbolSize": 40
}, {
"name": "结点5",
"symbolSize": 50
}, {
"name": "结点6",
"symbolSize": 40
}, {
"name": "结点7",
"symbolSize": 30
}, {
"name": "结点8",
"symbolSize": 20
}]
links = []
for i in nodes:
for j in nodes:
links.append({"source": i.get("name"), "target": j.get('name')})
graph = Graph("关系图-力引导布局示例")
graph.add("test", nodes, links, graph_repulsion=8000, is_more_utils=True)
graph.render(path="graph.html")
from pyecharts import Graph
import pandas as pd
sim_frame = pd.read_csv('./data/philosophy.csv', index_col=0, encoding='utf8')
names = sim_frame.index
sim_frame = sim_frame ** 0.25
graph = Graph('哲♂学关系图', width=1000, height=1000)
nodes = [{'name': name, 'symbolSize': 30, 'value': 1} for name in names]
links = [{
'source': i,
'target': j,
'value': sim_frame.loc[i, j]
} for i in names for j in names if i < j]
graph.add(
'', nodes, links,
is_focusnode=True,
is_roam=True,
is_rotatelabel=False,
layout="force",
graph_edge_length=list(range(100, 601, 100)),
graph_gravity=0.1,
graph_repulsion=8000,
is_label_show=True,
is_legend_show=True,
line_curve=0,
)
graph.render('./data/philosophy.html')