mirror of
https://github.com/Findus23/rebound-collisions.git
synced 2024-09-19 15:53:48 +02:00
94 lines
2.6 KiB
Python
94 lines
2.6 KiB
Python
import matplotlib
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import matplotlib.animation as animation
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import matplotlib.pyplot as plt
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import numpy as np
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from matplotlib.cm import ScalarMappable
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from matplotlib.collections import PathCollection
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from matplotlib.colors import Normalize, Colormap
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from matplotlib.text import Text
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from rebound import SimulationArchive, Particle
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from extradata import ExtraData, ParticleData
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from utils import filename_from_argv
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matplotlib.use('Qt4Agg')
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plt.style.use('dark_background')
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fps = 5
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duration = 10 # s
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total_frames = fps * duration
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logtime = False
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cmap: Colormap = matplotlib.cm.get_cmap('Blues')
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def update_line(num: int, sa: SimulationArchive, ed: ExtraData, dots: PathCollection, title: Text):
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# line = num * int((len(data) / total_frames))
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# print(line, num)
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if logtime:
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timestep = total_frames
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else:
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timestep = ed.meta.current_time / total_frames
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# timestep = 10e6 / total_frames
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time = num * timestep
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print(time)
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sim = sa.getSimulation(t=time)
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title.set_text(f"({len(sim.particles)}) {time / 1e6:.2f}M Years")
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p: Particle
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a = [p.a for p in sim.particles[1:]]
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e = [p.e for p in sim.particles[1:]]
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water_fractions = []
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for p in sim.particles[3:]:
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# try:
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pd: ParticleData = ed.pdata[p.hash.value]
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wf = pd.water_mass_fraction
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# except KeyError: # gas planet
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# print(p.hash.value)
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# wf = 0
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water_fractions.append(wf)
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# a, e, i, M, M_rat = data[line]
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# title.set_text(f"({len(a)}) {ages[line]:.2f}K Years")
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bla = np.array([a, e])
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dots.set_offsets(bla.T)
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water_fractions = np.array(water_fractions)
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color_val = (np.log10(water_fractions) + 5) / 5
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print(color_val)
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colors = cmap(color_val)
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print(colors)
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dots.set_color(colors)
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plt.savefig("tmp/" + str(num) + ".pdf",transparent=True)
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return dots, title
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fig1 = plt.figure()
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l: PathCollection = plt.scatter([1], [1])
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fn = filename_from_argv()
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sa = SimulationArchive(str(fn.with_suffix(".bin")))
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ed = ExtraData.load(fn.with_suffix(".extra.json"))
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plt.xlim(0, 10)
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plt.xlabel("a")
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title: Text = plt.title("0")
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plt.ylim(-0.1, 1) # e
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plt.ylabel("e")
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# plt.ylim(0, 90) # i
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# plt.ylabel("i")
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# plt.yscale('log')
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# plt.ylim(1e-7,1e-3)
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# plt.ylim(-0.05, 0.2) # i
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# plt.ylabel("water_fraction")
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fig1.colorbar(ScalarMappable(norm=Normalize(vmin=-5, vmax=0), cmap=cmap), label="log(water fraction)")
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plt.tight_layout()
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line_ani = animation.FuncAnimation(fig1, update_line, total_frames, fargs=(sa, ed, l, title),
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interval=1000 / fps, repeat=False)
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line_ani.save(str(fn.with_suffix(".mp4")), dpi=300)
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# plt.show()
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