-
Notifications
You must be signed in to change notification settings - Fork 0
/
visualizer.py
49 lines (41 loc) · 1.11 KB
/
visualizer.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
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import csv
fig = plt.figure(1)
ax = fig.add_subplot(111, projection='3d')
fig1 = plt.figure(2)
ax1 = fig1.add_subplot(111, projection='3d')
fig2 = plt.figure(3)
ax2 = fig2.add_subplot(111, projection='3d')
x = []
y = []
z = []
with open('testdata.csv','r') as csvfile:
plots = csv.reader(csvfile, delimiter=',')
for row in plots:
x.append(float(row[1]))
y.append(float(row[2]))
z.append(float(row[0]))
ax.scatter(x, y, z)
ax.set_xlabel('X1')
ax.set_ylabel('X2')
ax.set_zlabel('Poynting Coefficient')
a = []
with open('firststep.csv','r') as csvfile2:
plots = csv.reader(csvfile2, delimiter=',')
for row in plots:
a.append(float(row[0]))
ax1.scatter(x, y, a)
ax1.set_xlabel('X1')
ax1.set_ylabel('X2')
ax1.set_zlabel('Poynting Coefficient')
b = []
with open('tandemres.csv','r') as csvfile2:
plots = csv.reader(csvfile2, delimiter=',')
for row in plots:
b.append(float(row[0]))
ax2.scatter(x, y, b)
ax2.set_xlabel('X1')
ax2.set_ylabel('X2')
ax2.set_zlabel('Poynting Coefficient')
plt.show()