Plotting Separation between prediction and observation

PlanetAnimation3.py

%%manim -qm PlanetAnimation3

df2 = pd.read_csv(
    "https://gist.githubusercontent.com/jbwhit/8c745f8e6d814651a2254b3509e3d17c/raw/2e2457ee96dd8268f419fd842cdfb6e345b8ed22/uranus-example.csv"
)

class PlanetAnimation3(Scene):
    def construct(self):
        times = np.array(df2["date_frac"].values)
        uranus_positions_1 = np.hstack(
            (df2[["uranus_x_1", "uranus_y_1"]].values, np.zeros((len(df2), 1)))
        )
        uranus_positions_2 = np.hstack(
            (df2[["uranus_x_2", "uranus_y_2"]].values, np.zeros((len(df2), 1)))
        )
        uranus_real = LabeledDot(Tex(r"U",color=BLACK))
        uranus_pred = LabeledDot(Tex(r"P",color=BLACK))

        uranus_real.move_to(uranus_positions_1[0])
        uranus_pred.move_to(uranus_positions_2[0])

        uranus_path_1 = (
            VMobject()
            .set_points_smoothly([pos for pos in uranus_positions_1])
            .set_z_index(-1)
        )
        uranus_path_2 = (
            VMobject()
            .set_points_smoothly([pos for pos in uranus_positions_2])
            .set_z_index(-1)
        )

        self.add(uranus_real, uranus_pred)
        self.add(
            uranus_path_1.set_color(colors["uranus"]),
            uranus_path_2.set_color(colors["uranus"]),
        )
        
        self.play(
            MoveAlongPath(uranus_real, uranus_path_1, rate_func=linear),
            MoveAlongPath(uranus_pred, uranus_path_2, rate_func=linear),
            run_time=5,
        )
        self.wait()

uranus-example.csv