Commit ee8c0c1f authored by Josh Borrow's avatar Josh Borrow
Browse files

Added soundspeed figure and data

parent 56e86960
"""
Makes a movie of the Sedov 2D data. Adapted from
KelvinHelmholtz_2D/makeMovie.py
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 numpy as np
if __name__ == "__main__":
import matplotlib
matplotlib.use("Agg")
params = {'axes.labelsize': 9,
'axes.titlesize': 10,
'font.size': 12,
'legend.fontsize': 12,
'xtick.labelsize': 9,
'ytick.labelsize': 9,
'text.usetex': True,
'figure.figsize' : (3.15,2.60),
'figure.subplot.left' : 0.17,
'figure.subplot.right' : 0.99 ,
'figure.subplot.bottom' : 0.08 ,
'figure.subplot.top' : 0.99 ,
'figure.subplot.wspace' : 0. ,
'figure.subplot.hspace' : 0. ,
'lines.markersize' : 6,
'lines.linewidth' : 3.,
'text.latex.unicode': True}
matplotlib.rcParams.update(params)
matplotlib.rc('font',**{'family':'sans-serif','sans-serif':['Times']})
from matplotlib.colors import LogNorm
import matplotlib.pyplot as plt
filename = "sedov"
dpi = 1024
# Creation of first frame
fig, ax = plt.subplots(1, 1, frameon=False)
with np.load("sedov_soundspeed_ratio_data.npz") as file:
mesh = file.items()[0][1]
# Global variable for set_array
img = ax.imshow(mesh,
extent=[0,1,0,1],
animated=True,
interpolation="none",
norm=LogNorm())
circle = matplotlib.patches.Circle([0.5, 0.5],
radius=0.18242863869665918,
animated=True,
lw=1,
fill=False,
ec="red")
ax.add_artist(circle)
fig.colorbar(img,
label=r"$c_{s, {\rm smoothed}}$ / $c_{s, {\rm gas}}$",
pad=0.0)
plt.tick_params(axis='x',
which='both',
bottom=False,
top=False,
labelbottom=False)
plt.tick_params(axis='y',
which='both',
left=False,
right=False,
labelleft=False)
plt.xlim(0.2, 0.8)
plt.ylim(0.2, 0.8)
# Actually make the movie
plt.tight_layout()
plt.savefig("sedov_blast_soundspeed.pdf", dpi=300)
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