Batted Ball DataFrame

Out:

            t             x           y  ...        vx          vy         vz
0    0.000449  4.489146e-07    2.057054  ...  0.001999  127.023514  73.335701
1    0.004940  5.424690e-05    2.627042  ...  0.021945  126.799801  73.192772
2    0.014940  4.946582e-04    3.892560  ...  0.066073  126.304384  72.874912
3    0.024940  1.374407e-03    5.153142  ...  0.109813  125.812655  72.557575
4    0.034940  2.689640e-03    6.408826  ...  0.153170  125.324581  72.240755
..        ...           ...         ...  ...       ...         ...        ...
555  5.544940  2.272305e+01  403.831362  ...  4.709781   53.639244 -60.688468
556  5.554940  2.277012e+01  404.367694  ...  4.705682   53.627329 -60.844866
557  5.564940  2.281716e+01  404.903909  ...  4.701562   53.615575 -61.000837
558  5.574940  2.286415e+01  405.440006  ...  4.697423   53.603980 -61.156382
559  5.584940  2.291111e+01  405.975989  ...  4.693263   53.592545 -61.311501

[560 rows x 7 columns]
96.61022053816268

from pybbda.analysis.trajectories import BattedBallTrajectory

trajectory_calc = BattedBallTrajectory()

trajectory = trajectory_calc.get_trajectory(
    initial_speed=100,
    launch_angle=30,
    launch_direction_angle=0,
    initial_spin=2500,
    spin_angle=-10,
)
print(trajectory)
print(trajectory.z.max())