Commit 97c903cb authored by Josh Borrow's avatar Josh Borrow
Browse files

Added movie creation code for KH instability

parent ce4fb9e2
"""
Makes a movie of the KH 2D data.
You will need to run your movie with far higher time-resolution than usual to
get a nice movie; around 450 snapshots over 6s is required.
Edit this file near the bottom with the number of snaps you have.
Written by Josh Borrow (joshua.borrow@durham.ac.uk)
"""
import matplotlib
matplotlib.use("Agg")
import os
import h5py as h5
import numpy as np
import scipy as sp
import scipy.interpolate as si
import matplotlib.pyplot as plt
def load_and_extract(filename):
"""
Load the data and extract relevant info.
"""
with h5.File(filename, "r") as f:
x, y, _ = f["PartType0/Coordinates"][...].T
density = f["PartType0/Density"][...]
return x, y, density
def make_plot(filename, array, nx, ny, dx, dy):
"""
Load the data and plop it on the grid using nearest
neighbour searching for finding the 'correct' value of
the density.
"""
data_x, data_y, density = load_and_extract(filename)
# Make the grid
x = np.linspace(*dx, nx)
y = np.linspace(*dy, ny)
xv, yv = np.meshgrid(x, y)
mesh = si.griddata((data_x, data_y), density, (xv, yv), method="nearest")
array.set_array(mesh)
return array,
def frame(n, *args):
"""
Make a single frame. Requires the global variables plot and dpi.
"""
global plot, dpi
fn = "{}_{:04d}.hdf5".format(filename, n)
return make_plot(fn, plot, dpi, dpi, (0, 1), (0, 1))
if __name__ == "__main__":
from tqdm import tqdm
from matplotlib.animation import FuncAnimation
from scipy.stats import gaussian_kde
filename = "kelvinhelmholtz"
dpi = 512
frames = tqdm(np.arange(0, 448))
# Creation of first frame
fig, ax = plt.subplots(1, 1, figsize=(1, 1), frameon=False)
data_x, data_y, density = load_and_extract("kelvinhelmholtz_0000.hdf5")
x = np.linspace(0, 1, dpi)
y = np.linspace(0, 1, dpi)
xv, yv = np.meshgrid(x, y)
mesh = si.griddata((data_x, data_y), density, (xv, yv), method="nearest")
# Global variable for set_array
plot = ax.imshow(mesh, extent=[0, 1, 0, 1], animated=True, interpolation="none")
anim = FuncAnimation(fig, frame, frames, interval=40, blit=False)
# Remove all whitespace
fig.subplots_adjust(left=0, bottom=0, right=1, top=1, wspace=None, hspace=None)
# Actually make the movie
anim.save("khmovie.mp4", dpi=dpi, bitrate=4096)
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