-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathploteostable.py
executable file
·189 lines (143 loc) · 4.07 KB
/
ploteostable.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
#!/usr/bin/env python2
"""
Plot the EOS tables.
"""
from matplotlib import *
from matplotlib.pyplot import *
import numpy
def main():
"""
Setup the plot.
"""
# Set a font
rcParams['font.family'] = 'serif'
rcParams['font.size'] = 10.0
# Legend
# mpl.rcParams['legend.handlelength'] = 2.9
rcParams['legend.handlelength'] = 0.5
rcParams['legend.frameon'] = False
rcParams['legend.numpoints'] = 1
rcParams['legend.scatterpoints'] = 1
# Adjust axes line width
rcParams['axes.linewidth'] = 0.5
# Adjust ticks
rcParams['xtick.major.size'] = 4
rcParams['xtick.minor.size'] = 2
rcParams['ytick.major.size'] = 4
rcParams['ytick.minor.size'] = 2
# Adjust Font Size
rcParams['xtick.labelsize'] = 'x-small'
rcParams['ytick.labelsize'] = 'x-small'
rcParams['axes.labelsize'] = 'small'
# Adjust Line Width and Marker Size
rcParams['lines.markersize'] = 5
rcParams['lines.linewidth'] = 0.5
# Restore classic font used for math
rcParams['mathtext.fontset'] = 'cm'
rcParams['mathtext.rm'] = 'serif'
# Set Up Figure, Single Column MNRAS
fig = gcf()
ax = gca()
fig, ax = subplots(1,1)
fig.set_size_inches(8.27*0.39,8.27*(6./8.)*0.39)
"""
SCVH EOS table for H.
"""
nRho = 201
nT = 100
"""
Pressure.
"""
data = numpy.loadtxt("testscvheos_h_p_rho.txt")
logrho = data[:,0]
logP = data[:,1:nT+1]
logrho_min = numpy.min(logrho)
logrho_max = numpy.max(logrho)
print "logrho_min=", logrho_min
print "logrho_max=", logrho_max
print "logrho=", logrho
print
# Plot all isotherms
for i in range(0, nT):
plot(logrho, logP[:,i], '-')
"""
# Now plot the isotherms below logT=2.0
for i in range(0, index+1):
plot(logrho_table, logP_array[i], '-', linewidth=1)
for i in range(index+1, index+20):
plot(logrho_table, logP_array[i], '--', linewidth=1)
"""
# Zoom in to the weird region
#xlim(-3.5, -3.0)
#ylim(5.8, 7.0)
xlabel("Log Density")
ylabel("Log Pressure")
savefig('ploteostable_h_pofrho.png', dpi=300, bbox_inches='tight')
#show()
fig = gcf()
fig.clear()
"""
Internal energy.
"""
data = numpy.loadtxt("testscvheos_h_u_rho.txt")
logrho = data[:,0]
logu = data[:,1:nT+1]
logrho_min = numpy.min(logrho)
logrho_max = numpy.max(logrho)
print "logrho_min=", logrho_min
print "logrho_max=", logrho_max
print "logrho=", logrho
print
# Plot all isotherms
for i in range(0, nT):
plot(logrho, logu[:,i], '-')
"""
# Now plot the isotherms below logT=2.0
for i in range(0, index+1):
plot(logrho_table, logP_array[i], '-', linewidth=1)
for i in range(index+1, index+20):
plot(logrho_table, logP_array[i], '--', linewidth=1)
"""
# Zoom in to the weird region
#xlim(-3.5, -3.0)
#ylim(5.8, 7.0)
xlabel("Log Density")
ylabel("Log Internal Energy")
savefig('ploteostable_h_uofrho.png', dpi=300, bbox_inches='tight')
#show()
fig = gcf()
fig.clear()
"""
Entropy.
"""
data = numpy.loadtxt("testscvheos_h_s_rho.txt")
logrho = data[:,0]
logs = data[:,1:nT+1]
logrho_min = numpy.min(logrho)
logrho_max = numpy.max(logrho)
print "logrho_min=", logrho_min
print "logrho_max=", logrho_max
print "logrho=", logrho
print
# Plot all isotherms
for i in range(0, nT):
plot(logrho, logs[:,i], '-')
"""
# Now plot the isotherms below logT=2.0
for i in range(0, index+1):
plot(logrho_table, logP_array[i], '-', linewidth=1)
for i in range(index+1, index+20):
plot(logrho_table, logP_array[i], '--', linewidth=1)
"""
# Zoom in to the weird region
#xlim(-3.5, -3.0)
#ylim(5.8, 7.0)
xlabel("Log Density")
ylabel("Log Entropy")
savefig('ploteostable_h_sofrho.png', dpi=300, bbox_inches='tight')
show()
fig = gcf()
fig.clear()
exit(0)
if __name__ == '__main__':
main()