solve_ivp_pint 1.0.2

ODE solver processing pint (using 'solve_ivp' function)

solve_ivp_pint: ODE solver with unit support using Pint

Problem

If you love typing and units as we do, but need to resort to integration, this library may be for you.

The solve_ivp_pint library allows you to use the solve_ivp ODE solver from the scipy.integrate library, while using the Pint library to assign units to its variables.

Install

Install via the pypi package solve_ivp_pint. If you use pip, run the following shell command:

pip install solve_ivp_pint

Use

This library's solve_ivp function has the same structure as the one in the scipy.integrate library:

solve_ivp(fun, t_span, y0, method='RK45', t_eval=None, dense_output=False, events=None, vectorized=False, args=None, **options)

For details on the (unitless) parameters see https://docs.scipy.org/doc/scipy/reference/generated/scipy.integrate.solve_ivp.html#scipy.integrate.solve_ivp

Example

Let's model throwing a ball from 2 meters height with an initial speed of 1 m/s in the x-direction and 20 m/s in the y-direction. Further, let's assume we do this on the earth with a gravitational acceleration of 9.81 in the opposite of the y-direction. We can do this with solve_ivp_pint as:

import matplotlib.pyplot as plt
import numpy as np
from pint import Quantity, UnitRegistry

from solve_ivp_pint import solve_ivp

u = UnitRegistry()


# Define the ODE
def dydt(t: Quantity, y: list[Quantity]) -> list:  # noqa: ARG001
    """
    dy/dt of a ball.

    We assume the state y to be of the form [x, y, dx/dt, dy/dt]
    """
    vx = y[2]
    vy = y[3]
    dx_dt = vx
    dy_dt = vy
    dvx_dt = 0.0 * u.m / u.s**2
    dvy_dt = -9.81 * u.m / u.s**2
    return [dx_dt, dy_dt, dvx_dt, dvy_dt]


t0 = 0 * u.seconds  # initial time
tf = 3 * u.seconds  # final time

x_0: Quantity = 0.0 * u.m
y_0: Quantity = 2.0 * u.m  # we throw from 2m
vx_0: Quantity = 1.0 * u.m / u.s
vy_0: Quantity = 20.0 * u.m / u.s
y0 = [x_0, y_0, vx_0, vy_0]

t_eval = np.linspace(0, 3, 100) * u.s

# Solving
solution = solve_ivp(dxdt, [t0, tf], y0, t_eval=t_eval)

plt.title("Throwing a ball")
plt.plot([x.to(u.m).magnitude for x in solution.y[0]], [x.to(u.m).magnitude for x in solution.y[1]], "--")
plt.show()