使用 Python Matplotlib 创建 3D 轴上振动传感器读数的动画散点图

Question

我正在尝试使用 matplotlib 中的动画包为我在 3d 轴内工作的振动传感器绘制散点图。

下面提到的是代码

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.animation as animation
import serial

seru = serial.Serial('COM6', 115200)

xyz = []

def update_lines(num):
    rmsX,rmsY,rmsZ = vib_sense()
    xyz = np.array([[rmsX],[rmsY],[rmsZ]])  # replace this line with code to get data from serial line
    print(xyz)
    text.set_text("{:d}: [{:.0f},{:.0f},{:.0f}]".format(num,rmsX,rmsY,rmsZ))  # for debugging
    '''
    x.append(rmsX)
    y.append(rmsY)
    z.append(rmsZ)
    '''
    graph._offsets3d = (xyz)
    return graph,

def vib_sense():
    while True:
        s = seru.read(54)
        if(s[0] == 126):
            if(s[15] == 127):
                if(s[22]== 8):
                    rms_x = ((s[24]*65536)+(s[25]*256)+s[26])/1000
                    rms_y = ((s[27]*65536)+(s[28]*256)+s[29])/1000
                    rms_z = ((s[30]*65536)+(s[31]*256)+s[32])/1000
                    return rms_x,rms_y,rms_z



x = [0]
y = [0]
z = [0]

fig = plt.figure(figsize=(5, 5))
ax = fig.add_subplot(111, projection="3d")
graph = ax.scatter(x, y, z, color='orange')
text = fig.text(0, 1, "TEXT", va='top')  # for debugging

ax.set_xlim3d(-255, 255)
ax.set_ylim3d(-255, 255)
ax.set_zlim3d(-255, 255)

# Creating the Animation object
ani = animation.FuncAnimation(fig, update_lines, frames=200, interval=50, blit=False)
plt.show()

结果如下：

[[ 0.711]
 [20.309]
 [ 2.369]]
[[ 0.698]
 [20.338]
 [ 2.275]]
[[ 0.655]
 [20.36 ]
 [ 2.407]]
[[ 0.751]
 [20.328]
 [ 2.346]]
[[ 0.757]
 [20.312]
 [ 2.424]]
[[ 0.705]
 [20.345]
 [ 2.631]]
[[ 0.679]
 [20.306]
 [ 2.302]]

并且在 3d 轴中，我一次只能看到一个参数

在 3D 轴屏幕上同时监控所有值的任何建议和意见在某些时候也非常有帮助，情节没有响应和工作非常任何建议也非常有帮助

Answer 1

最后我可以使用下面提到的代码测试这些值，它工作正常但我无法旋转和测试。

代码：

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.animation as animation
import serial

seru = serial.Serial('COM6', 115200)
x = []
y = []
z = []
fig = plt.figure()
def update_lines(num):
    #calling sensor function
    rmsX,rmsY,rmsZ = vib_sense()
    #Creating Numpy array and appending the values
    vib_x= np.array(rmsX)
    x.append(vib_x)
    vib_y= np.array(rmsY)
    y.append(vib_y)
    vib_z= np.array(rmsZ)
    z.append(vib_z)
    print(x)
    print(y)
    print(z)
    ax = fig.add_subplot(111, projection='3d')
    ax.clear()
    #Limit the Graph
    ax.set_xlim3d(0, 100)
    ax.set_ylim3d(0, 100)
    ax.set_zlim3d(0, 100)
    #for line graph
    graph = ax.plot3D(x,y,z,color='orange',marker='o')
    #For Scatter
    # graph = ax.scatter3D(x,y,z,color='orange',marker='o')
    return graph

def vib_sense():
    while True:
        s = seru.read(54)
        if(s[0] == 126):
            if(s[15] == 127):
                if(s[22]== 8):
                    rms_x = ((s[24]*65536)+(s[25]*256)+s[26])/1000
                    rms_y = ((s[27]*65536)+(s[28]*256)+s[29])/1000
                    rms_z = ((s[30]*65536)+(s[31]*256)+s[32])/1000
                    '''    
                    max_x = ((s[33]*65536)+(s[34]*256)+s[35])/1000
                    max_y = ((s[36]*65536)+(s[37]*256)+s[38])/1000
                    max_z = ((s[39]*65536)+(s[40]*256)+s[41])/1000
                    min_x = ((s[42]*65536)+(s[43]*256)+s[44])/1000
                    min_y = ((s[45]*65536)+(s[46]*256)+s[47])/1000
                    min_z = ((s[48]*65536)+(s[49]*256)+s[50])/1000
                    ctemp = ((s[51]*256)+s[52])
                    battery = ((s[18]*256)+s[19])
                    voltage = 0.00322*battery
                    '''
                    return rms_x,rms_y,rms_z

# Creating the Animation object
ani = animation.FuncAnimation(fig, update_lines, frames=200, interval=5, blit=False)
plt.show()

输出：

使用 Python Matplotlib 创建 3D 轴上振动传感器读数的动画散点图

Create Animated Scatter plot for Vibration Sensor Readings on 3D axis using Python Matplotlib

python

numpy

matplotlib

pyserial

python-3.x