nbody/data.py

62 lines
1.6 KiB
Python

import matplotlib.animation as animation
import matplotlib.cm as cm
import matplotlib.pyplot as plt
import numpy as np
from physics import n_body
def parse_csv(filename: str):
with open(filename, 'r') as file:
lines = file.read().strip().splitlines()
pos = np.zeros((len(lines), 2))
vel = np.zeros((len(lines), 2))
rad = np.zeros((len(lines),))
for i, [x, y, vx, vy, r] in enumerate(map(lambda l: map(float, l.split(',')), lines)):
pos[i] = [x, y]
vel[i] = [vx, vy]
rad[i] = r
return pos, vel, rad
class Animator:
def __init__(self, pos: np.ndarray, vel: np.ndarray, rad: np.ndarray):
self.pos = pos
self.vel = vel
self.rad = rad
self.mass = np.pi * 4 / 3 * rad ** 3
self.scat = None
self.colours = cm.rainbow(
np.random.random(
(len(self.rad),)
)
)
self.fig, self.ax = plt.subplots()
self.ani = animation.FuncAnimation(
self.fig,
self.update,
interval=1000/120,
init_func=self.setup_plot,
blit=True,
cache_frame_data=False
)
def setup_plot(self):
self.scat = self.ax.scatter(
self.pos[:, 0],
self.pos[:, 1],
c=self.colours,
s=self.rad * 10
)
self.ax.axis([-950, 950, -500, 500])
return self.scat,
def update(self, *_args, **_kwargs):
n_body(self.pos, self.vel, self.mass)
self.scat.set_offsets(self.pos)
return self.scat,
def show(self):
plt.show()