forked from 905Projects/SerialAssistant
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Singlepicture.py
82 lines (77 loc) · 2.99 KB
/
Singlepicture.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
#请确认安装有以下包,本程序在python3.6.5下正常运行
import serial
from pylab import *
import struct
import string
import matplotlib
import time
Color = ['blue','tomato','deeppink','purple','red','slateblue','springgreen','midnightblue','lightskyblue']
#本文件适用于双(多)窗口实时绘图显示
#初始设置
set_map=[2,1] #表示第一个图上有2个函数,第二个图上有1个函数
set_datanum = 3 #若需要接收3个浮点数,则输入3
set_mapform =[1,2] #[1,2]表示生成一行两列的母图,其上可放置个数为1*2的子图
pic_name = ['P1','P2'] #设置每个图的图名
pic_xlabel = ['Time','Time'] #设置横轴标签
pic_ylabel = ['Num','Y'] #设置纵轴标签
latest_num = 30 #设置显示点的个数
labels = ['a','b','c'] #标签
fig_name = ['fig1','fig2']
data_write = 10 #向文件写入几组数据
#subplot(2,2,3) #将绘制多图在一图上使用的函数
count = 0
x_read = []
y_read = [] #读取用列表
#连接端口
ser = serial.Serial("COM3",115200,timeout = 0.5)
print (ser.name) #打印设备名及端口名
print (ser.port)
#ser.open() #打开端口
fig1 = plt.figure('fig1')
fig2 = plt.figure('fig2')
#数据接收,列表创建部分
for i in range(0,set_datanum):
y_read.append([])
time = 0
f = open("test.txt",'w',encoding='utf-8') #打开文本
while(1):
count = 0
time_bytes = ser.readline() #从接口读取
#if(time_bytes == -2):
# break
#if(time_bytes != -1):
#time = struct.unpack('<f', time_bytes)[0] #字符数组转浮点
#y_bytes = ser.read(4)
#y = struct.unpack('<f', y_bytes)[0]
str1 = (str(time_bytes))
if len(str1)==3:
continue
if time<=data_write:
str2 = str(time)+" "+str1[2:-3]+"\n"
f.write(str2)
if(time==data_write):
f.close()
str1 = str1[2:-3].split()
print(str1)
for i in range(0,set_datanum):
y_read[i].append(float(str1[i]))
x_read.append(time)
time+=1
if(len(x_read)>=latest_num):
for i in range(0,set_datanum):
y_read[i] = y_read[i][-latest_num:]
x_read = x_read[-latest_num:]
clf()
for i in range(0,len(set_map)):
figure(fig_name[i])
title(pic_name[i]) #设置标题
xlabel(pic_xlabel[i]) #设置横纵轴名
ylabel(pic_ylabel[i])
for j in range(0,set_map[i]):
if j==0:
clf()
plot(x_read,y_read[count],label = labels[count],linewidth ='1',color =Color[j%9], linestyle='-')
legend(loc='upper left')
count+=1
pause(0.01) #与数据传输间隔可以相同
ioff()