update plot in while loop

Question

i got this code:

 while cap.isOpened():

    pose = results.pose_landmarks.landmark
    pose_row_x = list(np.array([[landmark.x] for landmark in pose]).flatten())
    pose_row_y = list(np.array([[landmark.y] for landmark in pose]).flatten())
    pose_row_z = list(np.array([[landmark.z] for landmark in pose]).flatten())

    df = pd.DataFrame(data=[pose_row_x, pose_row_y, pose_row_z ]).T
    df.columns = ["x", "y", "z"]
  


    plt.scatter(df['x'],df['y'])
    plt.plot()

I would like to print the new added values in "real Time" in the same plot. For every loop i got a new plot.

Is there any way to update the plot in every loop iteration ?

EDIT: PLOT: I would be grateful for any help!

jprebys · Accepted Answer · 2022-06-01 19:56:47Z

2

I would recommend using a single Axes object for all of your plots. Something like this:

fig, ax = plt.subplots()

while cap.isOpened():

    # generate data here

    ax.scatter(df['x'], df['y'])

answered Jun 1, 2022 at 19:56

jprebys

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2 Comments

Daniel Over a year ago

Thanks for your reply! The Plot i got is shown in the original post. I would like to see something lik an animation of the data. Is there any way to get this ? :)

jprebys Over a year ago

Yeah I believe you can call ax.clear() right before ax.scatter() each iteration. That should do it.

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