-
Notifications
You must be signed in to change notification settings - Fork 0
/
scratche1.py
134 lines (82 loc) · 2.36 KB
/
scratche1.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
import numpy as np
import matplotlib.pyplot as plt
import scipy.io
theta = np.arange(0, (2 * np.pi)+np.pi/180 , np.pi/180)
dbm_datas = np.genfromtxt("dipole_pattern.csv", delimiter=',')
absolute_dbm = np.absolute(dbm_datas)
max_value = np.max(dbm_datas)
index_max = np.where(dbm_datas==max_value)
temp=[]
dbm_3= max_value-3
for x in dbm_datas:
temp.append(x-dbm_3)
temp = [abs(ele) for ele in temp]
shoted_temp= sorted(temp)
index_3dbm = temp.index(min(temp))
print(index_3dbm)
print(dbm_datas[index_3dbm])
f_csv = open("sorted.csv", 'w')
for x in range(len(shoted_temp)):
f_csv.write("değer:{} index:{}\n".format(shoted_temp[x],temp.index(shoted_temp[x])))
#
# f_csv = open("find3dbm.csv", 'w')
# f_csv.write("max değer:{} aranan değer :{}\n".format(max_value, dbm_3))
# for x in range(len(temp)):
# if x==index_3dbm:
# f_csv.write("****değer:{} fark:{}\n".format(dbm_datas[x],temp[x]))
# else:
# f_csv.write("değer:{} fark:{}\n".format(dbm_datas[x], temp[x]))
# index_3dbm = np.where((dbm_datas < dbm_3+0.05) & (dbm_datas > dbm_3-0.05))
# #index_3dbm = np.where(dbm_datas==-1.1077)
# print("max value: {} index: {}".format(max_value, index_max))
# print("-3dbm value: {} -3dbm index: {}".format(theta[index_3dbm], index_3dbm))
#
#
# print("------------")
#
# print(dbm_datas[index_3dbm])
# new_dbm_data = []
#
#
# f_csv = open("new_dbm_datas.csv", 'w')
# for x in dbm_datas:
# #print(x/(-1*max_value))
# new_dbm_data.append(x/max_value)
# f_csv.write("{}\n".format(x/max_value))
#
# dbm_3=max_value/2
#
# print("dmb_3: {}".format(dbm_3))
#
# index = np.where((dbm_datas < dbm_3+0.05) & (dbm_datas > dbm_3-0.05))
# print(index)
#
# print(dbm_datas[index])
#
#
# for x in dbm_datas[index]:
# print(x-dbm_3)
#
# index = np.where(dbm_datas==1.0992)
# print(index)
#
# print("Degree: {}".format(theta[index]))
fig, ax = plt.subplots(subplot_kw={'projection': 'polar'})
ax.plot(theta, dbm_datas)
#ax.set_rmax(2)
#ax.set_rticks([0.5, 1, 1.5, 2]) # Less radial ticks
#ax.set_rlabel_position(-22.5) # Move radial labels away from plotted line
ax.grid(True)
ax.set_title("A line plot on a polar axis", va='bottom')
plt.show()
# temp=[]
# mat = scipy.io.loadmat('dataset_dipole.mat')
# for x in mat.values():
# temp.append(x)
#
# print(temp[3].size)
#
#
# dbm_datas = np.copy(temp[3])
#
# print(dbm_datas.size)