Accelerometer shows the same exact behavior as roll, pitch and yaw extracted from gyroscope

Question

I'm working on capturing dogs sitting from accelarometer and gyroscope. The gyroscope data is stored as quaternion (w,x,y,z) for each time point.

I plot the accelarometer and gyroscope signal overtime to see the trends and behavior when sitting occurs. I convert the quaternion data into auler format (rx,ry,rz) using the following python code:

def quat_to_euler(df):
    rot = Rotation.from_quat(df[["qx","qy","qz","qw"]])
    rot_euler = rot.as_euler('xyz', degrees=True)
    euler_df = pd.DataFrame(data=rot_euler, columns=['rx', 'ry', 'rz'])

and I notice that I get almost exact plots for the accelarometer and gyroscope. I wanted to know, does this makes sense for rotation to show the same behavior as accelerometer? as can be seen in this plot

I would expect for the two plots to show distinct trends. although I can see how acceleration and rotation can relat,I belive there should be some difference between their behaviors.