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VisualizeDistribution.py
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import numpy as np
import h5py
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
def particleDistribution(file):
colors = ['red', 'darkgreen', 'blue', 'black']
f = h5py.File(file, 'r')
print(list(f.keys()))
ranges = list(f['hilbertRanges'].value)
keys = np.array(list(f['hilbertKey'].value))
indices = keys.argsort()q
keys = keys[indices][::100].copy()
pos = np.array(list(f['x'].value))[indices][::100].copy()
#vel = np.array(list(f['v'].value))[indices][::100].copy()
"""
keys = np.array(list(f['hilbertKey'].value))
indices = keys.argsort()
keys = keys[indices]
keys = np.array([elem for i,elem in enumerate(keys) if i % 100 = 0])
pos = np.array(list(f['x'].value))[indices]
vel = np.array(list(f['v'].value))[indices]
"""
min_x = min([x[0] for i, x in enumerate(pos)])
max_x = max([x[0] for i, x in enumerate(pos)])
min_y = min([x[1] for i, x in enumerate(pos)])
max_y = max([x[1] for i, x in enumerate(pos)])
min_z = min([x[2] for i, x in enumerate(pos)])
max_z = max([x[2] for i, x in enumerate(pos)])
global_min = min([min_x, min_y, min_z])
global_max = max([max_x, max_y, max_z])
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.set_xlim3d(global_min, global_max)
ax.set_ylim3d(global_min, global_max)
ax.set_zlim3d(global_min, global_max)
ax.set_axis_off()
ind = [0]
for i in range(len(ranges) - 2):
ind.append(np.argwhere(keys > ranges[i + 1])[0][0])
ind.append(-1)
pos_x = [x[2] for x in pos]
pos_y = [x[0] for x in pos]
pos_z = [x[1] for x in pos]
for i in range(len(ranges) - 1):
print("from {} to {}\n".format(ind[0], ind[i+1]))
ax.scatter(pos_x[ind[i]:ind[i+1]],
pos_y[ind[i]:ind[i+1]],
pos_z[ind[i]:ind[i+1]],
s=5, c=colors[i])
# ax.plot(pos_x[ind[i]:ind[i+1]],
# pos_y[ind[i]:ind[i+1]],
# pos_z[ind[i]:ind[i+1]],
# c=colors[i], alpha=0.3)
plt.show()
#import tikzplotlib
#tikzplotlib.save("test.tex")
if __name__ == '__main__':
file = 'ts000002.h5'
particleDistribution(file)