-
Notifications
You must be signed in to change notification settings - Fork 0
/
test.py
154 lines (148 loc) · 4.18 KB
/
test.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
# # -*- coding: utf-8 -*-
# """
# Created on Wed Aug 14 20:01:38 2019
#
# @author: C-82
# """
#
# #from SPARQLWrapper import SPARQLWrapper, JSON
# #
# ## sparql = SPARQLWrapper("http://dbpedia.org/sparql")
# #query = SPARQLWrapper("http://localhost:3030/cbz/query")
# #update = SPARQLWrapper("http://localhost:3030/cbz/update")
# #query.setReturnFormat(JSON)
# #update.setMethod('POST')
# #query.setQuery("""
# #PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
# #PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
# #PREFIX ex: <http://example.org/>
# #SELECT * WHERE {
# # ?sub rdf:use ?sssub
# #}
# #LIMIT 10
# #""")
# #update.setQuery(
# #"PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>"
# #+ "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>"
# #+ "PREFIX ex: <http://example.org/>"
# #+ "PREFIX zoo: <http://example.org/zoo/>"
# #+ "PREFIX owl: <http://www.w3.org/2002/07/owl#>"
# #
# #+ "DELETE DATA {"
# #+ "ex:dog1 rdf:type ex:animal ."
# #+ "ex:cat1 rdf:type ex:cat ."
# #+ "ex:cat rdfs:subClassOf ex:animal ."
# #+ "zoo:host rdfs:range ex:animal ."
# #+ "ex:zoo1 zoo:host ex:cat2 ."
# #+ "ex:cat3 rdf:sameAs ex:cat2 ."
# #+ "}"
# # )
# #
# #update.query()
# #ans = query.query().convert()
# #print(ans['results']['bindings'])
# '''
# head -> vars
# results -> bindings -> ? -> (type,value)
# '''
# #import globalvar as gl
# #gl._init()
# #gl.set_value('aa',1)
# #for i in range(1000000000):
# # if i % 10000000 == 0:
# # print(gl.get_value('aa'))
# #
# #import os
# #print(os.getcwd())
# #import sys
# #print(os.path.dirname(os.path.realpath(__file__)))
# #import globalvar as gl
# #def func():
# # gl._init()
# # gl.set_value('a',1)
# # return
# #def func1():
# # print(gl.get_value('a'))
# # return
# #if __name__ == '__main__':
# ## import os
# ## os.chdir(os.path.dirname(os.path.realpath(__file__)) + os.sep + "sourceAgent")
# ## print(os.getcwd())
# ## import stomach
# ## from multiprocessing import Process
# ## tmp = Process(target = func)
# ## tmp.start()
# ## while(True):
# ## print(1)
# # from threading import Thread
# # tmp = Thread(target = func)
# # tmp.start()
# # tmp = Thread(target = func1)
# # tmp.start()
#
#
#
# # string = '1111'
# # string = string.replace('1','2')
# # print(string)
# # from lib.weightedKG import *
# # G = graph('cbz')
# # G.addEdge('mother','marriage','father')
# # class ppp():
# # def __init__(self,name):
# # self.name = name
# # return
# # P1 = ppp('cbz')
# # lis = []
# # lis.append(P1)
# # lis2 = []
# # lis2.append(P1)
# # lis[0].name = 'bbb'
# # print(lis[0].name)
# # print(lis2[0].name)
# import _thread
# from threading import *
#
# # def func():
# # while True:
# # import time
# # time.sleep(100000)
# # return
# # thread = Thread(target = func)
# # thread.join()
# # import os
# # print(os.path.dirname(os.path.realpath(__file__)))
#
# # from IO import operate,over
# # operate('go',[1,2])
# import globalvar as gl
# gl.set_value('bb',1)
# import time
# while True:
# print(gl.get_value('bb'))
# time.sleep(1)
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
# matplotlib画图中中文显示会有问题，需要这两行设置默认字体
plt.xlabel('X')
plt.ylabel('Y')
plt.xlim(xmax=9, xmin=0)
plt.ylim(ymax=9, ymin=0)
# 画两条（0-9）的坐标轴并设置轴标签x，y
x1 = np.random.normal(2, 1.2, 300) # 随机产生300个平均值为2，方差为1.2的浮点数，即第一簇点的x轴坐标
y1 = np.random.normal(2, 1.2, 300) # 随机产生300个平均值为2，方差为1.2的浮点数，即第一簇点的y轴坐标
x2 = np.random.normal(7.5, 1.2, 300)
y2 = np.random.normal(7.5, 1.2, 300)
colors1 = '#00CED1' # 点的颜色
colors2 = '#DC143C'
area = np.pi * 4 ** 2 # 点面积
# 画散点图
plt.scatter(x1, y1, alpha=0.4, label='类别A')
plt.scatter(x2, y2, alpha=0.4, label='类别B')
plt.plot([0, 9.5], [9.5, 0], linewidth='0.5', color='#000000')
plt.legend()
# plt.savefig(r'C:\Users\jichao\Desktop\大论文\12345svm.png', dpi=300)
plt.show()