Description
I have seen similar issues on here closed or fixed but I don't understand if my issue is how the code is implemented or actual issue. Animation seems to keep frames in memory and not release them.
Bug report
I'm using pyplot 2.0 with the FuncAnimation for streaming serial data to a figure where it is continously updated.
For the FuncAnimation to work you have a Figure, Func (function to call at each frame), and Frames (Source of data to pass func and each frame of the animation) fairly simple I thought and it does animate the way I would expect.
However the figure continues to chew up memory until it crashes the Raspberry Pi even though I have the blit flag set to optimize the drawing and only render the new data points.
Full analysis and description here:
http://stackoverflow.com/questions/43548826/pyplot-animation-memory-leak-with-funcanimation?noredirect=1#comment74171567_43548826
Code for reproduction
import matplotlib.pyplot as plt
import matplotlib.animation as animation
#Setup plotting, one figure and two subplots
fig, (ax1, ax2) = plt.subplots(2,1)#,sharex=True)
g_line = ax1.plot([],[],'g')
r_line = ax1.plot([],[],'r')
lines = []
#Add each line to o ur tuples of lines to be plotted
lines.extend(g_line)
lines.extend(r_line)
#Data plotting function, this is call from the animation
#Each data element is in the data list being returned below
def plot_data(data):
x1 = data[0]; y1 = data[1];
x2 = data[2]; y2 = data[3];
lines[0].set_data(x1,y1) # Audio - green
lines[1].set_data(x2,y2) # Audio thresh - red
return tuple(lines)
def data_gen():
my_list = []
my_list2 = []
#Main infinite loop for processing of serial data
while True:
# Grab input RX serial data
(my_list, my_list2) = readUART(serReader)
yield my_list, my_list2
ani = animation.FuncAnimation(fig, plot_data, data_gen, interval=1, blit=True)
plt.show()Actual outcome
Note - I ran a memory profiler on the entire program minus the plotting and just did it on the while TRUE loop and the memory didn't move past 55mb the entire time I let it run.
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Expected outcome
Matplotlib version
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- Matplotlib Version:
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- Jupyter Version (if applicable):
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