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
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263 | #!/usr/bin/python2
# -*- coding: utf-8 -*-
""" CREATED: 7/2012
AUTHOR: MICHAL ODSTRÄIL
"""
import matplotlib
matplotlib.rcParams['backend'] = 'Agg'
matplotlib.rc('font', size='10')
matplotlib.rc('text', usetex=True) # FIXME !! nicer but slower !!!
import pygolem_lite
from pygolem_lite import Shot
from numpy import *
from pygolem_lite.config import *
from pygolem_lite.modules import *
from pygolem_lite.sql import *
from matplotlib.pyplot import *
import time
from shutil import copy, move
import os
from scipy.interpolate import interp1d
import re
#element_names = ['H','O','He','C','N','M1','MIV']
#element_signs = ['*','o','D','+','x','.','s']
element_names = ['C','O','N']
element_signs = ['*','o','D']
#element_names = ['H','O','C','N','M1']
#element_signs = ['*','o','+','x','.']
def analysis():
print "==========analysis"
shot_num = Shot().shot_num
N = 500 # 3000# # !!!!!! number of shots in history !!!!!
shots = arange(N) + shot_num - N+1
start_shots = get_session_list(shots)[1]
save("start_shots", start_shots)
print "start_shots saved !!!"
save_hist('pressure_initial', 'pressure_all', shots)
save_hist('electron_temperature_max', "temp_max_all", shots)
save_hist('temperature_mean', 'temp_all', shots)
#try:
for i in element_names:
save_hist('spectrometr:mean_relative_density_'+i, 'impur_dens_'+i, shots)
#except Exception,e:
#print str(e)
save_hist('spectrometr:mean_temperature', 'impur_temp_all', shots)
#save_hist('electron_confinement_t98', 'tau_all',shots)
#save_hist('electron_density_mean', "dens_all", shots)
save_hist('noise_level', "noise_all", shots)
#photo = save_hist('photodiode_mean', "photo_all", shots)
save_hist('plasma_current_mean', "current_all", shots)
#uloop = save_hist('loop_voltage_mean', "uloop_all", shots)
#save_hist('Komora/Aktual_DoutnavyVyboj', "glow_dis_all", shots)
#save_hist('Komora/Aktual_VypekaniKomory', "baking_all", shots)
#save_hist('Komora/Aktual_VypekaniKrizu', "baking_cross_all", shots)
save_hist('pressure_chamber', "pipes_pressure_all", shots)
#shots_R, data_R = save_hist('chamber_resistance', "chamber_resistance_all", shots[shots>9500])
#shots_R0, data_R0 = save_hist('chamber_resistance_old', "chamber_resistance_old_all", shots[shots>9500])
#shots_P, data_P = save_hist('plasma', "plasma_all", shots)
#save_hist('chamber_temperature', "ch_temp_all", shots)
#ind = in1d(shots_R, shots_P[data_P == 1])
#savetxt('chamber_resistance_all_plasma', array([shots[ind], data_R[ind]]).T, line_format="%g")
#savetxt('chamber_resistance_all_noplasma', array([shots[~ind], data_R[~ind]]).T, line_format="%g")
#ind = in1d(shots_R0, shots_P[data_P == 1])
#savetxt('chamber_resistance_old_all_plasma', array([shots[ind], data_R0[ind]]).T, line_format="%g")
#savetxt('chamber_resistance_old_all_noplasma', array([shots[~ind], data_R0[~ind]]).T, line_format="%g")
save_hist('spectrometr:mean_radiation_power', "rad_power_all", shots)
save_hist('input_power_plasma_mean', "input_power_all", shots)
def save_hist(diagn, name, shot_range):
t = time.time()
N = len(shot_range)
#print diagn
data = load_data(diagn, shot_range)
#print data.keys()
data_final = array([data['shot'], data[diagn.lower()]]).T
savetxt(name, data_final , fmt="%g")
#print "time", time.time() - t
#return shots, data
def plot_data(file_type):
print "=============plot data "
start_shots = load("start_shots.npy")
vl = [ start_shots[i][0] for i in range(len(start_shots)) ]
an = [ {'text':start_shots[i][1] , 'pos':[start_shots[i][0], None], 'angle':270, 'fontsize':"small" } for i in range(len(start_shots)) ]
#print "vlines", vl
#print "annotate", an
ylim = [0,None]
plot_size = 12# max(12, (int(start_shots[-1][0]) - int(start_shots[0][0]))/50); # width of the plots
params = dict(xlabel="Shot number", tvec_rescale= 1, plot_limits= False, vlines = vl, annotate = an, ygrid = True, markersize=5)
print_params = dict( figsize=(plot_size,4), dpi=100, file_type=file_type, legend_loc = 'upper left' )
#print "plot_size", plot_size, int(start_shots[-1][0]) , int(start_shots[0][0])
#d = get_data('temp_all', 'Mean temperature', 'T [eV]' , ylim = [0,75] , tvec_rescale= 1, plot_limits= False, line_format='.',
#xlabel="Shot number", vlines = vl, annotate = an, ygrid = True, markersize=5)
#paralel_multiplot(d, 'Temperature evolution', 'temp', **print_params)
###get_data('temp_max_all', 'Max temperature', 'T [eV]' , ylim = [0,75] , tvec_rescale= 1, plot_limits= False, line_format='.', xlabel="Shot number", vlines = vl, annotate = an, ygrid = True, markersize=5)
###get_data('impur_temp_all', 'Specrometr temperature', 'T [eV]', tvec_rescale= 1, plot_limits= False, line_format='.', xlabel="Shot number", vlines = vl, annotate = an, ygrid = True, ylim = [0,75], markersize=5 )
#exit()
try:
data1 = [[get_data('temp_all', 'Mean temperature', 'T [eV]' , ylim = [0,100] , line_format='.', **params),
get_data('temp_max_all', 'Max temperature', 'T [eV]' , ylim = [0,100] , line_format='.', **params),
get_data('impur_temp_all', 'Specrometr temperature', 'T [eV]', ylim = [0,100], line_format='.',**params) ]]
paralel_multiplot(data1, 'Temperature evolution', 'temp', **print_params)
except Exception, e:
print str(e)
#exit()
try:
#
data2 = [[get_data('pressure_all', 'Init pressure', 'P [mPa]' , ylim = [0.5,20] , yscale="log",line_format='g.', **params),
get_data('pipes_pressure_all', 'Pipes pressure', 'P [mPa]' , ylim = [0.5,20] , yscale="log", data_rescale = 1e-3 , line_format='b.', **params)]]
paralel_multiplot(data2, 'Pressure evolution', 'pressure', **print_params)
except Exception, e:
print str(e)
#print "data1", data1
#exit()
#try:
#data9 = [[get_data('glow_dis_all', 'Glow discharge', 'ON/OFF' , ylim = [0,1.1] , tvec_rescale= 1, plot_limits= False, line_format='r-', xlabel="Shot number", vlines = vl, annotate = an, markersize=5),
#get_data('baking_all', 'Chamber baking', 'ON/OFF' , ylim = [0,1.1] , tvec_rescale= 1, plot_limits= False, line_format='g-', xlabel="Shot number", vlines = vl, annotate = an, markersize=5),
#get_data('baking_cross_all', 'Cross baking', 'ON/OFF' , ylim = [0,1.1] , tvec_rescale= 1, plot_limits= False, line_format='b-', xlabel="Shot number", vlines = vl, annotate = an, markersize=5)]]
#paralel_multiplot(data9, 'Chamber conditioning', 'vacuum', **print_params)
#except Exception, e:
#print str(e)
#try:
#data3 = get_data('tau_all', 'Confinement', 'tau [s]' , ylim = ylim , tvec_rescale= 1, plot_limits= False, line_format='.', xlabel="Shot number", vlines = vl, annotate = an, ygrid = True, markersize=5)
#paralel_multiplot(data3, 'Confinement evolution', 'tau', **print_params)
#except Exception, e:
#print str(e)
#try:
#data4 = get_data('dens_all', 'Density', 'n$_{e}$' , ylim = ylim , tvec_rescale= 1, plot_limits= False, line_format='.', xlabel="Shot number", vlines = vl, annotate = an, ygrid = True, markersize=5)
#paralel_multiplot(data4, 'Density evolution', 'dens', **print_params)
#except Exception, e:
#print str(e)
#try:
#data5 = get_data('photo_all', 'Mean emiss', 'U [V]' , ylim = ylim , tvec_rescale= 1, plot_limits= False, line_format='.', xlabel="Shot number", vlines = vl, annotate = an, ygrid = True)
#paralel_multiplot(data5, 'Photodiode evolution', 'emiss', **print_params)
#except:
#pass
#try:
#data7 = get_data('uloop_all', 'Loop voltage', 'U [V]' , ylim = ylim , tvec_rescale= 1, plot_limits= False, line_format='.', xlabel="Shot number", vlines = vl, annotate = an, ygrid = True)
#paralel_multiplot(data7, 'Loop voltage evolution', 'uloop', **print_params)
#except:
#pass
try:
data8 = get_data('noise_all', 'Noise', 'U [V]' , ylim = ylim , yscale="log", line_format='.', **params )
multiplot(data8, 'Noise evolution', 'noise', **print_params)
except Exception, e:
print str(e)
#try:
#data11 = [[get_data('chamber_resistance_all_plasma', 'New-plasma', 'R [Ohm]' , tvec_rescale= 1, plot_limits= False, line_format='.', xlabel="Shot number", vlines = vl, annotate = an, ygrid = True, yscale='log', markersize=5), get_data('chamber_resistance_all_noplasma', 'New-noplasma', 'R [Ohm]' , tvec_rescale= 1, plot_limits= False, line_format='.', xlabel="Shot number", vlines = vl, annotate = an, ygrid = True, yscale='log', markersize=5) ],
#[get_data('chamber_resistance_old_all_plasma', 'Old-plasma', 'R [Ohm]' , tvec_rescale= 1, plot_limits= False, line_format='.', xlabel="Shot number", vlines = vl, annotate = an, ygrid = True, yscale='log', markersize=5), get_data('chamber_resistance_old_all_noplasma', 'Old-noplasma', 'R [Ohm]' , tvec_rescale= 1, plot_limits= False, line_format='.', xlabel="Shot number", vlines = vl, annotate = an, ygrid = True, yscale='log', markersize=5) ]]
#paralel_multiplot(data11, 'Chamber resistance', 'resistance', (plot_size,6), 100, 'vertical', file_type)
#except Exception, e:
#print str(e)
#try:
#data8 = get_data('ch_temp_all', 'Chamber temperature', 'T [C]' , ylim = ylim , tvec_rescale= 1, plot_limits= False, line_format='xr', xlabel="Shot number", vlines = vl, annotate = an, ygrid = True, markersize=5)
#paralel_multiplot(data8, 'Chamber temperature', 'ch_temp', **print_params)
#except Exception, e:
#print str(e)
try:
data8 = get_data('current_all', '', 'I [kA]' , ylim = ylim , data_rescale=1e-3,line_format='.', **params)
multiplot(data8, 'Plasma Current' , 'current', **print_params)
except Exception, e:
print str(e)
try:
data9 = [[ get_data('impur_dens_'+element_names[i], 'n '+element_names[i], 'n [a.u.]' , tvec_rescale= 1, plot_limits= False, xlabel="Shot number", vlines = vl, annotate = an, ygrid = True, yscale = 'log', ylim=[1e-2, 5], line_format=element_signs[i], markersize=4 ) for i in range(len(element_names)) ]]
paralel_multiplot(data9, 'Relative impurity density', 'impurity', **print_params)
except Exception, e:
print str(e)
try:
data9 = [[ get_data('rad_power_all', 'Output power spectrometer', 'P [kW]' , data_rescale=1e-3, ylim=[0, 15],line_format='g.', **params),
get_data('input_power_all', 'Input ohmic power', 'P [kW]' , data_rescale=1e-3, ylim=[0, 15 ], line_format='r+', **params ) ]]
paralel_multiplot(data9, 'Mean power balance', 'rad_power', **print_params)
except Exception, e:
print str(e)
#try:
#data10 = get_data('impur_temp_all', 'Specrometr temperature', 'T [eV]', tvec_rescale= 1, plot_limits= False, line_format='.', xlabel="Shot number", vlines = vl, annotate = an, ygrid = True, ylim=ylim )
#paralel_multiplot(data10, 'Specrometr temperature', 'impur_temp', **print_params)
#except:
#print str(e)
#os.system('convert -resize 150x120\! total_plot.png icon.png')
#print "===== plotting done ===== "
#data = data_1 + data_2 +data_3 + data_4
paralel_multiplot((data1 if 'data1' in locals() else []) + (data2 if 'data2' in locals() else []), "" , 'icon', (4,3), 40)
def main():
#if sys.argv[1] == "analysis":
if sys.argv[1] == "plots":
analysis()
plot_data('png')
saveconst('status', 0)
print "==================== saveconst('status', 0) ="
print "==="*20, "generate svgz !!!"
plot_data('svgz')
saveconst('status', 0)
if __name__ == "__main__":
main()
|
