Fastest Way to Update and Plot Lists?

Asked Feb 23 '19 at 22:39

Active Feb 23 '19 at 22:39

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I am relatively new at programming, so I apologize in advance if anything is unclear:

The program that I am working on finds the position of certain facial landmarks in a webcam and plots lists of position values in matplotlib's PyPlot. The program struggles to track seven different landmarks at once, running at ~2 frames per second when trying to do so.

Here is the basic idea:

fig1 = plt.figure("Facial Landmark Positions")
ax1 = fig1.add_subplot(2,4,1)
a_list = []
while True:
  ab,cd,... = datavalues    #Data comes in a list of ordered pairs
  a,b = ab
  a_list.append(a)
  ax1.clear()
  ax1.plot(timevalues,a_list)
  plt.pause(0.01)
  plt.show(block=False)

Most likely, I will just reduce the number of landmarks the program is tracking, but I am just curious: Is there a faster way to update lists?

asked Feb 23 '19 at 22:39

B. Yoon

Where does the number seven come into play here? – mkrieger1 Feb 23 '19 at 23:01
Related to [this question](https://stackoverflow.com/questions/11874767/how-do-i-plot-in-real-time-in-a-while-loop-using-matplotlib). – Quang Hoang Feb 24 '19 at 01:38
I closed as duplicate of what is *the fastest* (not the easiest) way to update plots in matplotlib. – ImportanceOfBeingErnest Feb 24 '19 at 03:19

Fastest Way to Update and Plot Lists?

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