------------------- Summation ------------
I want to animate 3+ graphs using FuncAnimation by using the same animation object to speed up the code.
What is the best way of achieve this? What am I doing wrong as my use of return a + b + c do not work as this is an unreported operand type for +?
------------------- Summation ------------
I am working on a project were I need to print data in real time, as the data is spred over different measurements do I need to separate them into different graphs both for ease of use and as they have widely shifting amplitudes.
There are a lot of examples out there how one animates one graph however not on how to animate several. The ones that I have found how to use FuncAnimation to update and animate multiple figures with matplotlib? https://www.reddit.com/r/learnpython/comments/4a0e8v/live_graphing_multiple_subplots_with_matplotlib/
And the one that I have had the most successes with is to create several subplots in one figure and animate that figure. I have sett up the following testprogram based on the first example I mentioned above.
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
x1 = np.arange(130, 190, 1)
x2 = np.arange(130, 190, 1)
x3 = np.arange(130, 190, 1)
test1 = 1 * np.sin(2 * np.pi * x1 / 10)
test2 = 2 * np.sin(2 * np.pi * x2 / 10)
test3 = 3 * np.sin(2 * np.pi * x3 / 10)
xa, xb, xc, y1, y2, y3 = [], [], [], [], [], []
fig = plt.figure(1)
ax1 = fig.add_subplot(131)
line1, = ax1.plot([], [])
ax1.set_xlabel('Samples')
ax1.set_ylabel('Amplitude')
ax1.set_title('Line 1')
ax2 = fig.add_subplot(132)
line2, = ax2.plot([], [])
ax2.grid(True)
ax2.set_xlabel('Samples')
ax2.set_ylabel('Amplitude')
ax2.set_title('Line 2')
ax3 = fig.add_subplot(133)
line3, = ax3.plot([], [])
ax3.grid(True)
ax3.set_xlabel('Samples')
ax3.set_ylabel('Amplitude')
ax3.set_title('Line 3')
def update_line_1(i):
xa.append(x1[i])
y1.append(test1[i])
line1.set_data(xa, y1)
return line1
def update_line_2(i):
xb.append(x2[i])
y2.append(test2[i])
line2.set_data(x2, y2)
return line2
def update_line_3(i):
xc.append(x3[i])
y3.append(test3[i])
line3.set_data(x3, y3)
return line3
def update_all(i):
a = update_line_1(i)
b = update_line_2(i)
c = update_line_3(i)
return a + b + c
animALL = FuncAnimation(fig, update_all, interval=50, blit=True)
plt.show()
However the use of return a + b + c do not work as this is an unreported operand type for +
TypeError: unsupported operand type(s) for +: 'Line2D' and 'Line2D'
As I am relative new to animate do I wounder if this is the right approach and if the knowledgeable community do know of a beter way or if one of you might help me understand what I am doing wrong with adding the uppdatering information for multiple subplots.
Was able to sole it my self, my problem were that I attempt to return a line object for FuncAnimation to use instead of plotting the graphs inside of the updating function.
I will leave my code if somebody in the future got the same problem.
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
def my_function(i):
sin = np.sin(2 * np.pi * (i + 1) / 10)
# Changing the data for line 1
line1.pop(0) # Removing the first element
line1.append(1 * sin) # Adding the last element
# Changing the data for line 2
line2.pop(0) # Removing the first element
line2.append(2 * sin) # Adding the last element
# Changing the data for line 3
line3.pop(0) # Removing the first element
line3.append(3 * sin) # Adding the last element
# Changing the data for line 4
line4.pop(0) # Removing the first element
line4.append(4 * sin) # Adding the last element
# Changing the data for line 5
line5.pop(0) # Removing the first element
line5.append(5 * sin) # Adding the last element
# Changing the data for line 6
line6.pop(0) # Removing the first element
line6.append(6 * sin) # Adding the last element
# Changing the data for sample
sample.pop(0) # Removing the first element
sample.append((i + 1) / 10) # Adding the last element
# clear axis
ax1.clear()
ax2.clear()
# plot the graphs for the first subgraph
ax1.plot(sample, line1, label='Joint 1')
ax1.plot(sample, line2, label='Joint 2')
ax1.plot(sample, line3, label='Joint 3')
# plot the graphs for the second subgraph
ax2.plot(sample, line4, label='Joint 4')
ax2.plot(sample, line5, label='Joint 5')
ax2.plot(sample, line6, label='Joint 6')
# Add legend, labels and titles to subgraph 1
ax1.legend(['Joint 1', 'Joint 2', 'Joint 3'])
ax1.set_xlabel('Samples')
ax1.set_ylabel('Torque (Nm)')
ax1.set_title('Subgraph 1')
# Add legend, labels and titles to subgraph 2
ax2.legend(['Joint 4', 'Joint 5', 'Joint 6'])
ax2.set_xlabel('Samples')
ax2.set_ylabel('Torque (Nm)')
ax2.set_title('Subgraph 2')
# start collections with zeros
line1 = [0] * 10
line2 = [0] * 10
line3 = [0] * 10
line4 = [0] * 10
line5 = [0] * 10
line6 = [0] * 10
sample = [0] * 10
# define and adjust figure
fig = plt.figure(figsize=(12, 6))
ax1 = plt.subplot(121)
ax2 = plt.subplot(122)
# animate
ani = animation.FuncAnimation(fig, my_function, interval=100)
plt.show()