I am trying to plot a scatter graph for the vibration sensor I am working within the 3d axis using an animation package in matplotlib.
Mentioned below is the code
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()
The result is coming as below :
[[ 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]]
And In 3d axis, I able to see only one parameter at a time
Any suggestion and advice to monitor all the values at the same time on 3D axis screen will be very helpful also at some time the plot is not responding and working very any suggestion that will also very helpful
Finally I am able to test the values by using mentioned below code which works fine but I am not able to rotate and test.
Code:
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()
Output:
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