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plot_movie.py
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plot_movie.py
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import os
import sys
import h5py
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as ani
from cmap import *
from tensorflow.keras.models import load_model
# ----------------------------------------------------------------------
if len(sys.argv) < 6:
print('Usage: %s pulse t0 t1 dt vmax' % sys.argv[0])
print('Example: %s 92213 48.0 54.0 0.01 1.0' % sys.argv[0])
exit()
# ----------------------------------------------------------------------
pulse = int(sys.argv[1])
print('pulse:', pulse)
t0 = float(sys.argv[2])
print('t0:', t0)
t1 = float(sys.argv[3])
print('t1:', t1)
dt = float(sys.argv[4])
print('dt:', dt)
digits = len(str(dt).split('.')[-1])
vmax = float(sys.argv[5])
print('vmax:', vmax)
fps = 15
# ----------------------------------------------------------------------
fname = 'bolo_data.h5'
print('Reading:', fname)
f = h5py.File(fname, 'r')
g = f[str(pulse)]
tomo = np.clip(g['tomo'][:], 0., None)/1e6
tomo_t = g['tomo_t'][:]
print('%-10s %-10s %-20s %-10s' % (pulse, 'tomo', tomo.shape, tomo.dtype))
print('%-10s %-10s %-20s %-10s' % (pulse, 'tomo_t', tomo_t.shape, tomo_t.dtype))
f.close()
# ----------------------------------------------------------------------
if t0 < tomo_t[0]:
t0 = tomo_t[0]
print('t0:', t0, '(overwrite)')
if t1 > tomo_t[-1]:
t1 = tomo_t[-1]
print('t1:', t1, '(overwrite)')
# ----------------------------------------------------------------------
frames = []
frames_t = []
for t in np.arange(t0, t1, dt):
i = np.argmin(np.fabs(tomo_t - t))
frames.append(tomo[i])
frames_t.append(tomo_t[i])
frames = np.array(frames)
frames_t = np.array(frames_t)
print('%-10s %-10s %-20s %-10s' % (pulse, 'frames', frames.shape, frames.dtype))
print('%-10s %-10s %-20s %-10s' % (pulse, 'frames_t', frames_t.shape, frames_t.dtype))
# ----------------------------------------------------------------------
path = 'movies'
if not os.path.exists(path):
os.makedirs(path)
# ----------------------------------------------------------------------
fontsize = 'small'
R0 = 1.708 - 2*0.02
R1 = 3.988 + 3*0.02
Z0 = -1.77 - 2*0.02
Z1 = +2.13 + 2*0.02
im = plt.imshow(frames[0], cmap=get_cmap(),
vmin=0., vmax=vmax,
extent=[R0, R1, Z0, Z1],
interpolation='bilinear',
animated=True)
ticks = np.linspace(0., vmax, num=5)
labels = ['%.2f' % t for t in ticks]
labels[-1] = r'$\geq$' + labels[-1]
cb = plt.colorbar(im, fraction=0.26, ticks=ticks)
cb.ax.set_yticklabels(labels, fontsize=fontsize)
cb.ax.set_ylabel('MW/m3', fontsize=fontsize)
fig = plt.gcf()
ax = plt.gca()
title = 'Pulse %s t=%.*fs' % (pulse, digits, frames_t[0])
ax.set_title(title, fontsize=fontsize)
ax.tick_params(labelsize=fontsize)
ax.set_xlabel('R (m)', fontsize=fontsize)
ax.set_ylabel('Z (m)', fontsize=fontsize)
ax.set_xlim([R0, R1])
ax.set_ylim([Z0, Z1])
plt.setp(ax.spines.values(), linewidth=0.1)
plt.tight_layout()
def animate(k):
title = 'Pulse %s t=%.*fs' % (pulse, digits, frames_t[k])
ax.set_title(title, fontsize=fontsize)
im.set_data(frames[k])
animation = ani.FuncAnimation(fig, animate, frames=range(frames.shape[0]))
fname = '%s/%s_%.*f_%.*f.mp4' % (path, pulse, digits, frames_t[0], digits, frames_t[-1])
print('Writing:', fname)
animation.save(fname, fps=fps, extra_args=['-vcodec', 'libx264'])