| @@ -1,907 +1,934 | |||||
| 1 |
|
1 | |||
| 2 | import os |
|
2 | import os | |
| 3 | import zmq |
|
3 | import zmq | |
| 4 | import time |
|
4 | import time | |
| 5 | import numpy |
|
5 | import numpy | |
| 6 | import datetime |
|
6 | import datetime | |
| 7 | import numpy as np |
|
7 | import numpy as np | |
| 8 | import matplotlib |
|
8 | import matplotlib | |
|
|
9 | import glob | |||
| 9 | matplotlib.use('TkAgg') |
|
10 | matplotlib.use('TkAgg') | |
| 10 | import matplotlib.pyplot as plt |
|
11 | import matplotlib.pyplot as plt | |
| 11 | from mpl_toolkits.axes_grid1 import make_axes_locatable |
|
12 | from mpl_toolkits.axes_grid1 import make_axes_locatable | |
| 12 | from matplotlib.ticker import FuncFormatter, LinearLocator |
|
13 | from matplotlib.ticker import FuncFormatter, LinearLocator | |
| 13 | from multiprocessing import Process |
|
14 | from multiprocessing import Process | |
| 14 |
|
15 | |||
| 15 | from schainpy.model.proc.jroproc_base import Operation |
|
16 | from schainpy.model.proc.jroproc_base import Operation | |
| 16 |
|
17 | |||
| 17 | plt.ion() |
|
18 | plt.ion() | |
| 18 |
|
19 | |||
| 19 | func = lambda x, pos: ('%s') %(datetime.datetime.fromtimestamp(x).strftime('%H:%M')) |
|
20 | func = lambda x, pos: ('%s') %(datetime.datetime.fromtimestamp(x).strftime('%H:%M')) | |
| 20 |
|
21 | |||
| 21 | d1970 = datetime.datetime(1970,1,1) |
|
22 | d1970 = datetime.datetime(1970,1,1) | |
| 22 |
|
23 | |||
| 23 | class PlotData(Operation, Process): |
|
24 | class PlotData(Operation, Process): | |
| 24 |
|
25 | |||
| 25 | CODE = 'Figure' |
|
26 | CODE = 'Figure' | |
| 26 | colormap = 'jro' |
|
27 | colormap = 'jro' | |
| 27 | CONFLATE = False |
|
28 | CONFLATE = False | |
| 28 | __MAXNUMX = 80 |
|
29 | __MAXNUMX = 80 | |
| 29 | __missing = 1E30 |
|
30 | __missing = 1E30 | |
| 30 |
|
31 | |||
| 31 | def __init__(self, **kwargs): |
|
32 | def __init__(self, **kwargs): | |
| 32 |
|
33 | |||
| 33 | Operation.__init__(self, plot=True, **kwargs) |
|
34 | Operation.__init__(self, plot=True, **kwargs) | |
| 34 | Process.__init__(self) |
|
35 | Process.__init__(self) | |
| 35 | self.kwargs['code'] = self.CODE |
|
36 | self.kwargs['code'] = self.CODE | |
| 36 | self.mp = False |
|
37 | self.mp = False | |
| 37 | self.dataOut = None |
|
38 | self.dataOut = None | |
| 38 | self.isConfig = False |
|
39 | self.isConfig = False | |
| 39 | self.figure = None |
|
40 | self.figure = None | |
| 40 | self.axes = [] |
|
41 | self.axes = [] | |
| 41 | self.localtime = kwargs.pop('localtime', True) |
|
42 | self.localtime = kwargs.pop('localtime', True) | |
| 42 | self.show = kwargs.get('show', True) |
|
43 | self.show = kwargs.get('show', True) | |
| 43 | self.save = kwargs.get('save', False) |
|
44 | self.save = kwargs.get('save', False) | |
| 44 | self.colormap = kwargs.get('colormap', self.colormap) |
|
45 | self.colormap = kwargs.get('colormap', self.colormap) | |
| 45 | self.colormap_coh = kwargs.get('colormap_coh', 'jet') |
|
46 | self.colormap_coh = kwargs.get('colormap_coh', 'jet') | |
| 46 | self.colormap_phase = kwargs.get('colormap_phase', 'RdBu_r') |
|
47 | self.colormap_phase = kwargs.get('colormap_phase', 'RdBu_r') | |
| 47 | self.showprofile = kwargs.get('showprofile', True) |
|
48 | self.showprofile = kwargs.get('showprofile', True) | |
| 48 | self.title = kwargs.get('wintitle', '') |
|
49 | self.title = kwargs.get('wintitle', '') | |
| 49 | self.xaxis = kwargs.get('xaxis', 'frequency') |
|
50 | self.xaxis = kwargs.get('xaxis', 'frequency') | |
| 50 | self.zmin = kwargs.get('zmin', None) |
|
51 | self.zmin = kwargs.get('zmin', None) | |
| 51 | self.zmax = kwargs.get('zmax', None) |
|
52 | self.zmax = kwargs.get('zmax', None) | |
| 52 | self.xmin = kwargs.get('xmin', None) |
|
53 | self.xmin = kwargs.get('xmin', None) | |
| 53 | self.xmax = kwargs.get('xmax', None) |
|
54 | self.xmax = kwargs.get('xmax', None) | |
| 54 | self.xrange = kwargs.get('xrange', 24) |
|
55 | self.xrange = kwargs.get('xrange', 24) | |
| 55 | self.ymin = kwargs.get('ymin', None) |
|
56 | self.ymin = kwargs.get('ymin', None) | |
| 56 | self.ymax = kwargs.get('ymax', None) |
|
57 | self.ymax = kwargs.get('ymax', None) | |
| 57 | self.__MAXNUMY = kwargs.get('decimation', 80) |
|
58 | self.__MAXNUMY = kwargs.get('decimation', 80) | |
| 58 | self.throttle_value = 5 |
|
59 | self.throttle_value = 5 | |
| 59 | self.times = [] |
|
60 | self.times = [] | |
| 60 | #self.interactive = self.kwargs['parent'] |
|
61 | #self.interactive = self.kwargs['parent'] | |
| 61 |
|
62 | |||
| 62 | ''' |
|
63 | ''' | |
| 63 | this new parameter is created to plot data from varius channels at different figures |
|
64 | this new parameter is created to plot data from varius channels at different figures | |
| 64 | 1. crear una lista de figuras donde se puedan plotear las figuras, |
|
65 | 1. crear una lista de figuras donde se puedan plotear las figuras, | |
| 65 | 2. dar las opciones de configuracion a cada figura, estas opciones son iguales para ambas figuras |
|
66 | 2. dar las opciones de configuracion a cada figura, estas opciones son iguales para ambas figuras | |
| 66 | 3. probar? |
|
67 | 3. probar? | |
| 67 | ''' |
|
68 | ''' | |
| 68 | self.ind_plt_ch = kwargs.get('ind_plt_ch', False) |
|
69 | self.ind_plt_ch = kwargs.get('ind_plt_ch', False) | |
| 69 | self.figurelist = None |
|
70 | self.figurelist = None | |
| 70 |
|
71 | |||
| 71 |
|
72 | |||
| 72 | def fill_gaps(self, x_buffer, y_buffer, z_buffer): |
|
73 | def fill_gaps(self, x_buffer, y_buffer, z_buffer): | |
| 73 |
|
74 | |||
| 74 | if x_buffer.shape[0] < 2: |
|
75 | if x_buffer.shape[0] < 2: | |
| 75 | return x_buffer, y_buffer, z_buffer |
|
76 | return x_buffer, y_buffer, z_buffer | |
| 76 |
|
77 | |||
| 77 | deltas = x_buffer[1:] - x_buffer[0:-1] |
|
78 | deltas = x_buffer[1:] - x_buffer[0:-1] | |
| 78 | x_median = np.median(deltas) |
|
79 | x_median = np.median(deltas) | |
| 79 |
|
80 | |||
| 80 | index = np.where(deltas > 5*x_median) |
|
81 | index = np.where(deltas > 5*x_median) | |
| 81 |
|
82 | |||
| 82 | if len(index[0]) != 0: |
|
83 | if len(index[0]) != 0: | |
| 83 | z_buffer[::, index[0], ::] = self.__missing |
|
84 | z_buffer[::, index[0], ::] = self.__missing | |
| 84 | z_buffer = np.ma.masked_inside(z_buffer, |
|
85 | z_buffer = np.ma.masked_inside(z_buffer, | |
| 85 | 0.99*self.__missing, |
|
86 | 0.99*self.__missing, | |
| 86 | 1.01*self.__missing) |
|
87 | 1.01*self.__missing) | |
| 87 |
|
88 | |||
| 88 | return x_buffer, y_buffer, z_buffer |
|
89 | return x_buffer, y_buffer, z_buffer | |
| 89 |
|
90 | |||
| 90 | def decimate(self): |
|
91 | def decimate(self): | |
| 91 |
|
92 | |||
| 92 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 |
|
93 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 | |
| 93 | dy = int(len(self.y)/self.__MAXNUMY) + 1 |
|
94 | dy = int(len(self.y)/self.__MAXNUMY) + 1 | |
| 94 |
|
95 | |||
| 95 | # x = self.x[::dx] |
|
96 | # x = self.x[::dx] | |
| 96 | x = self.x |
|
97 | x = self.x | |
| 97 | y = self.y[::dy] |
|
98 | y = self.y[::dy] | |
| 98 | z = self.z[::, ::, ::dy] |
|
99 | z = self.z[::, ::, ::dy] | |
| 99 |
|
100 | |||
| 100 | return x, y, z |
|
101 | return x, y, z | |
| 101 |
|
102 | |||
|
|
103 | ''' | |||
|
|
104 | JM: | |||
|
|
105 | elimana las otras imagenes generadas debido a que lso workers no llegan en orden y le pueden | |||
|
|
106 | poner otro tiempo a la figura q no necesariamente es el ultimo. | |||
|
|
107 | Solo se realiza cuando termina la imagen. | |||
|
|
108 | Problemas: | |||
|
|
109 | -Aun no encuentro. | |||
|
|
110 | ''' | |||
|
|
111 | def deleteanotherfiles(self): | |||
|
|
112 | figurenames=[] | |||
|
|
113 | for n, eachfigure in enumerate(self.figurelist): | |||
|
|
114 | #add specific name for each channel in channelList | |||
|
|
115 | ghostfigname = os.path.join(self.save, '{}_{}_{}'.format(self.titles[n].replace(' ',''),self.CODE, | |||
|
|
116 | datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d'))) | |||
|
|
117 | figname = os.path.join(self.save, '{}_{}_{}.png'.format(self.titles[n].replace(' ',''),self.CODE, | |||
|
|
118 | datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S'))) | |||
|
|
119 | ||||
|
|
120 | for ghostfigure in glob.glob(ghostfigname+'*'): #ghostfigure will adopt all posible names of figures | |||
|
|
121 | if ghostfigure != figname: | |||
|
|
122 | os.remove(ghostfigure) | |||
|
|
123 | print 'Removing GhostFigures:' , figname | |||
|
|
124 | ||||
| 102 | def __plot(self): |
|
125 | def __plot(self): | |
| 103 |
|
126 | |||
| 104 | print 'plotting...{}'.format(self.CODE) |
|
127 | print 'plotting...{}'.format(self.CODE) | |
| 105 | if self.ind_plt_ch is False : #standard |
|
128 | if self.ind_plt_ch is False : #standard | |
| 106 | if self.show: |
|
129 | if self.show: | |
| 107 | self.figure.show() |
|
130 | self.figure.show() | |
| 108 | self.plot() |
|
131 | self.plot() | |
| 109 | plt.tight_layout() |
|
132 | plt.tight_layout() | |
| 110 | self.figure.canvas.manager.set_window_title('{} {} - {}'.format(self.title, self.CODE.upper(), |
|
133 | self.figure.canvas.manager.set_window_title('{} {} - {}'.format(self.title, self.CODE.upper(), | |
| 111 | datetime.datetime.fromtimestamp(self.max_time).strftime('%Y/%m/%d'))) |
|
134 | datetime.datetime.fromtimestamp(self.max_time).strftime('%Y/%m/%d'))) | |
| 112 | else : |
|
135 | else : | |
| 113 | for n, eachfigure in enumerate(self.figurelist): |
|
136 | for n, eachfigure in enumerate(self.figurelist): | |
| 114 | if self.show: |
|
137 | if self.show: | |
| 115 | eachfigure.show() |
|
138 | eachfigure.show() | |
|
|
139 | ||||
| 116 | self.plot() # ok? como elijo que figura? |
|
140 | self.plot() # ok? como elijo que figura? | |
| 117 | plt.tight_layout() |
|
141 | #eachfigure.subplots_adjust(left=0.2) | |
|
|
142 | #eachfigure.subplots_adjuccst(right=0.2) | |||
|
|
143 | eachfigure.tight_layout() # ajuste de cada subplot | |||
| 118 | eachfigure.canvas.manager.set_window_title('{} {} - {}'.format(self.title[n], self.CODE.upper(), |
|
144 | eachfigure.canvas.manager.set_window_title('{} {} - {}'.format(self.title[n], self.CODE.upper(), | |
| 119 | datetime.datetime.fromtimestamp(self.max_time).strftime('%Y/%m/%d'))) |
|
145 | datetime.datetime.fromtimestamp(self.max_time).strftime('%Y/%m/%d'))) | |
| 120 |
|
146 | |||
| 121 | # if self.save: |
|
147 | # if self.save: | |
| 122 | # if self.ind_plt_ch is False : #standard |
|
148 | # if self.ind_plt_ch is False : #standard | |
| 123 | # figname = os.path.join(self.save, '{}_{}.png'.format(self.CODE, |
|
149 | # figname = os.path.join(self.save, '{}_{}.png'.format(self.CODE, | |
| 124 | # datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S'))) |
|
150 | # datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S'))) | |
| 125 | # print 'Saving figure: {}'.format(figname) |
|
151 | # print 'Saving figure: {}'.format(figname) | |
| 126 | # self.figure.savefig(figname) |
|
152 | # self.figure.savefig(figname) | |
| 127 | # else : |
|
153 | # else : | |
| 128 | # for n, eachfigure in enumerate(self.figurelist): |
|
154 | # for n, eachfigure in enumerate(self.figurelist): | |
| 129 | # #add specific name for each channel in channelList |
|
155 | # #add specific name for each channel in channelList | |
| 130 | # figname = os.path.join(self.save, '{}_{}_{}.png'.format(self.titles[n],self.CODE, |
|
156 | # figname = os.path.join(self.save, '{}_{}_{}.png'.format(self.titles[n],self.CODE, | |
| 131 | # datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S'))) |
|
157 | # datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S'))) | |
| 132 | # |
|
158 | # | |
| 133 | # print 'Saving figure: {}'.format(figname) |
|
159 | # print 'Saving figure: {}'.format(figname) | |
| 134 | # eachfigure.savefig(figname) |
|
160 | # eachfigure.savefig(figname) | |
| 135 |
|
161 | |||
| 136 | if self.ind_plt_ch is False : |
|
162 | if self.ind_plt_ch is False : | |
| 137 | self.figure.canvas.draw() |
|
163 | self.figure.canvas.draw() | |
| 138 | else : |
|
164 | else : | |
| 139 | for eachfigure in self.figurelist: |
|
165 | for eachfigure in self.figurelist: | |
| 140 | eachfigure.canvas.draw() |
|
166 | eachfigure.canvas.draw() | |
| 141 |
|
167 | |||
| 142 | if self.save: |
|
168 | if self.save: | |
| 143 | if self.ind_plt_ch is False : #standard |
|
169 | if self.ind_plt_ch is False : #standard | |
| 144 | figname = os.path.join(self.save, '{}_{}.png'.format(self.CODE, |
|
170 | figname = os.path.join(self.save, '{}_{}.png'.format(self.CODE, | |
| 145 | datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S'))) |
|
171 | datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S'))) | |
| 146 | print 'Saving figure: {}'.format(figname) |
|
172 | print 'Saving figure: {}'.format(figname) | |
| 147 | self.figure.savefig(figname) |
|
173 | self.figure.savefig(figname) | |
| 148 | else : |
|
174 | else : | |
| 149 | for n, eachfigure in enumerate(self.figurelist): |
|
175 | for n, eachfigure in enumerate(self.figurelist): | |
| 150 | #add specific name for each channel in channelList |
|
176 | #add specific name for each channel in channelList | |
| 151 | figname = os.path.join(self.save, '{}_{}_{}.png'.format(self.titles[n],self.CODE, |
|
177 | figname = os.path.join(self.save, '{}_{}_{}.png'.format(self.titles[n].replace(' ',''),self.CODE, | |
| 152 | datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S'))) |
|
178 | datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S'))) | |
| 153 |
|
179 | |||
| 154 | print 'Saving figure: {}'.format(figname) |
|
180 | print 'Saving figure: {}'.format(figname) | |
| 155 | eachfigure.savefig(figname) |
|
181 | eachfigure.savefig(figname) | |
| 156 |
|
182 | |||
| 157 |
|
183 | |||
| 158 | def plot(self): |
|
184 | def plot(self): | |
| 159 |
|
185 | |||
| 160 | print 'plotting...{}'.format(self.CODE.upper()) |
|
186 | print 'plotting...{}'.format(self.CODE.upper()) | |
| 161 | return |
|
187 | return | |
| 162 |
|
188 | |||
| 163 | def run(self): |
|
189 | def run(self): | |
| 164 |
|
190 | |||
| 165 | print '[Starting] {}'.format(self.name) |
|
191 | print '[Starting] {}'.format(self.name) | |
| 166 |
|
192 | |||
| 167 | context = zmq.Context() |
|
193 | context = zmq.Context() | |
| 168 | receiver = context.socket(zmq.SUB) |
|
194 | receiver = context.socket(zmq.SUB) | |
| 169 | receiver.setsockopt(zmq.SUBSCRIBE, '') |
|
195 | receiver.setsockopt(zmq.SUBSCRIBE, '') | |
| 170 | receiver.setsockopt(zmq.CONFLATE, self.CONFLATE) |
|
196 | receiver.setsockopt(zmq.CONFLATE, self.CONFLATE) | |
| 171 |
|
197 | |||
| 172 | if 'server' in self.kwargs['parent']: |
|
198 | if 'server' in self.kwargs['parent']: | |
| 173 | receiver.connect('ipc:///tmp/{}.plots'.format(self.kwargs['parent']['server'])) |
|
199 | receiver.connect('ipc:///tmp/{}.plots'.format(self.kwargs['parent']['server'])) | |
| 174 | else: |
|
200 | else: | |
| 175 | receiver.connect("ipc:///tmp/zmq.plots") |
|
201 | receiver.connect("ipc:///tmp/zmq.plots") | |
| 176 |
|
202 | |||
| 177 | seconds_passed = 0 |
|
203 | seconds_passed = 0 | |
| 178 |
|
204 | |||
| 179 | while True: |
|
205 | while True: | |
| 180 | try: |
|
206 | try: | |
| 181 | self.data = receiver.recv_pyobj(flags=zmq.NOBLOCK)#flags=zmq.NOBLOCK |
|
207 | self.data = receiver.recv_pyobj(flags=zmq.NOBLOCK)#flags=zmq.NOBLOCK | |
| 182 | self.started = self.data['STARTED'] |
|
208 | self.started = self.data['STARTED'] | |
| 183 | self.dataOut = self.data['dataOut'] |
|
209 | self.dataOut = self.data['dataOut'] | |
| 184 |
|
210 | |||
| 185 | if (len(self.times) < len(self.data['times']) and not self.started and self.data['ENDED']): |
|
211 | if (len(self.times) < len(self.data['times']) and not self.started and self.data['ENDED']): | |
| 186 | continue |
|
212 | continue | |
| 187 |
|
213 | |||
| 188 | self.times = self.data['times'] |
|
214 | self.times = self.data['times'] | |
| 189 | self.times.sort() |
|
215 | self.times.sort() | |
| 190 | self.throttle_value = self.data['throttle'] |
|
216 | self.throttle_value = self.data['throttle'] | |
| 191 | self.min_time = self.times[0] |
|
217 | self.min_time = self.times[0] | |
| 192 | self.max_time = self.times[-1] |
|
218 | self.max_time = self.times[-1] | |
| 193 |
|
219 | |||
| 194 | if self.isConfig is False: |
|
220 | if self.isConfig is False: | |
| 195 | print 'setting up' |
|
221 | print 'setting up' | |
| 196 | self.setup() |
|
222 | self.setup() | |
| 197 | self.isConfig = True |
|
223 | self.isConfig = True | |
| 198 | self.__plot() |
|
224 | self.__plot() | |
| 199 |
|
225 | |||
| 200 | if self.data['ENDED'] is True: |
|
226 | if self.data['ENDED'] is True: | |
| 201 | print '********GRAPHIC ENDED********' |
|
227 | print '********GRAPHIC ENDED********' | |
| 202 | self.ended = True |
|
228 | self.ended = True | |
| 203 | self.isConfig = False |
|
229 | self.isConfig = False | |
| 204 | self.__plot() |
|
230 | self.__plot() | |
|
|
231 | self.deleteanotherfiles() #CLPDG | |||
| 205 | elif seconds_passed >= self.data['throttle']: |
|
232 | elif seconds_passed >= self.data['throttle']: | |
| 206 | print 'passed', seconds_passed |
|
233 | print 'passed', seconds_passed | |
| 207 | self.__plot() |
|
234 | self.__plot() | |
| 208 | seconds_passed = 0 |
|
235 | seconds_passed = 0 | |
| 209 |
|
236 | |||
| 210 | except zmq.Again as e: |
|
237 | except zmq.Again as e: | |
| 211 | print 'Waiting for data...' |
|
238 | print 'Waiting for data...' | |
| 212 | plt.pause(2) |
|
239 | plt.pause(2) | |
| 213 | seconds_passed += 2 |
|
240 | seconds_passed += 2 | |
| 214 |
|
241 | |||
| 215 | def close(self): |
|
242 | def close(self): | |
| 216 | if self.dataOut: |
|
243 | if self.dataOut: | |
| 217 | self.__plot() |
|
244 | self.__plot() | |
| 218 |
|
245 | |||
| 219 |
|
246 | |||
| 220 | class PlotSpectraData(PlotData): |
|
247 | class PlotSpectraData(PlotData): | |
| 221 |
|
248 | |||
| 222 | CODE = 'spc' |
|
249 | CODE = 'spc' | |
| 223 | colormap = 'jro' |
|
250 | colormap = 'jro' | |
| 224 | CONFLATE = False |
|
251 | CONFLATE = False | |
| 225 |
|
252 | |||
| 226 | def setup(self): |
|
253 | def setup(self): | |
| 227 |
|
254 | |||
| 228 | ncolspan = 1 |
|
255 | ncolspan = 1 | |
| 229 | colspan = 1 |
|
256 | colspan = 1 | |
| 230 | self.ncols = int(numpy.sqrt(self.dataOut.nChannels)+0.9) |
|
257 | self.ncols = int(numpy.sqrt(self.dataOut.nChannels)+0.9) | |
| 231 | self.nrows = int(self.dataOut.nChannels*1./self.ncols + 0.9) |
|
258 | self.nrows = int(self.dataOut.nChannels*1./self.ncols + 0.9) | |
| 232 | self.width = 3.6*self.ncols |
|
259 | self.width = 3.6*self.ncols | |
| 233 | self.height = 3.2*self.nrows |
|
260 | self.height = 3.2*self.nrows | |
| 234 | if self.showprofile: |
|
261 | if self.showprofile: | |
| 235 | ncolspan = 3 |
|
262 | ncolspan = 3 | |
| 236 | colspan = 2 |
|
263 | colspan = 2 | |
| 237 | self.width += 1.2*self.ncols |
|
264 | self.width += 1.2*self.ncols | |
| 238 |
|
265 | |||
| 239 | self.ylabel = 'Range [Km]' |
|
266 | self.ylabel = 'Range [Km]' | |
| 240 | self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList] |
|
267 | self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList] | |
| 241 |
|
268 | |||
| 242 | if self.figure is None: |
|
269 | if self.figure is None: | |
| 243 | self.figure = plt.figure(figsize=(self.width, self.height), |
|
270 | self.figure = plt.figure(figsize=(self.width, self.height), | |
| 244 | edgecolor='k', |
|
271 | edgecolor='k', | |
| 245 | facecolor='w') |
|
272 | facecolor='w') | |
| 246 | else: |
|
273 | else: | |
| 247 | self.figure.clf() |
|
274 | self.figure.clf() | |
| 248 |
|
275 | |||
| 249 | n = 0 |
|
276 | n = 0 | |
| 250 | for y in range(self.nrows): |
|
277 | for y in range(self.nrows): | |
| 251 | for x in range(self.ncols): |
|
278 | for x in range(self.ncols): | |
| 252 | if n >= self.dataOut.nChannels: |
|
279 | if n >= self.dataOut.nChannels: | |
| 253 | break |
|
280 | break | |
| 254 | ax = plt.subplot2grid((self.nrows, self.ncols*ncolspan), (y, x*ncolspan), 1, colspan) |
|
281 | ax = plt.subplot2grid((self.nrows, self.ncols*ncolspan), (y, x*ncolspan), 1, colspan) | |
| 255 | if self.showprofile: |
|
282 | if self.showprofile: | |
| 256 | ax.ax_profile = plt.subplot2grid((self.nrows, self.ncols*ncolspan), (y, x*ncolspan+colspan), 1, 1) |
|
283 | ax.ax_profile = plt.subplot2grid((self.nrows, self.ncols*ncolspan), (y, x*ncolspan+colspan), 1, 1) | |
| 257 |
|
284 | |||
| 258 | ax.firsttime = True |
|
285 | ax.firsttime = True | |
| 259 | self.axes.append(ax) |
|
286 | self.axes.append(ax) | |
| 260 | n += 1 |
|
287 | n += 1 | |
| 261 |
|
288 | |||
| 262 | def plot(self): |
|
289 | def plot(self): | |
| 263 |
|
290 | |||
| 264 | if self.xaxis == "frequency": |
|
291 | if self.xaxis == "frequency": | |
| 265 | x = self.dataOut.getFreqRange(1)/1000. |
|
292 | x = self.dataOut.getFreqRange(1)/1000. | |
| 266 | xlabel = "Frequency (kHz)" |
|
293 | xlabel = "Frequency (kHz)" | |
| 267 | elif self.xaxis == "time": |
|
294 | elif self.xaxis == "time": | |
| 268 | x = self.dataOut.getAcfRange(1) |
|
295 | x = self.dataOut.getAcfRange(1) | |
| 269 | xlabel = "Time (ms)" |
|
296 | xlabel = "Time (ms)" | |
| 270 | else: |
|
297 | else: | |
| 271 | x = self.dataOut.getVelRange(1) |
|
298 | x = self.dataOut.getVelRange(1) | |
| 272 | xlabel = "Velocity (m/s)" |
|
299 | xlabel = "Velocity (m/s)" | |
| 273 |
|
300 | |||
| 274 | y = self.dataOut.getHeiRange() |
|
301 | y = self.dataOut.getHeiRange() | |
| 275 | z = self.data[self.CODE] |
|
302 | z = self.data[self.CODE] | |
| 276 |
|
303 | |||
| 277 | for n, ax in enumerate(self.axes): |
|
304 | for n, ax in enumerate(self.axes): | |
| 278 | if ax.firsttime: |
|
305 | if ax.firsttime: | |
| 279 | self.xmax = self.xmax if self.xmax else np.nanmax(x) |
|
306 | self.xmax = self.xmax if self.xmax else np.nanmax(x) | |
| 280 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
307 | self.xmin = self.xmin if self.xmin else -self.xmax | |
| 281 | self.ymin = self.ymin if self.ymin else np.nanmin(y) |
|
308 | self.ymin = self.ymin if self.ymin else np.nanmin(y) | |
| 282 | self.ymax = self.ymax if self.ymax else np.nanmax(y) |
|
309 | self.ymax = self.ymax if self.ymax else np.nanmax(y) | |
| 283 | self.zmin = self.zmin if self.zmin else np.nanmin(z) |
|
310 | self.zmin = self.zmin if self.zmin else np.nanmin(z) | |
| 284 | self.zmax = self.zmax if self.zmax else np.nanmax(z) |
|
311 | self.zmax = self.zmax if self.zmax else np.nanmax(z) | |
| 285 | ax.plot = ax.pcolormesh(x, y, z[n].T, |
|
312 | ax.plot = ax.pcolormesh(x, y, z[n].T, | |
| 286 | vmin=self.zmin, |
|
313 | vmin=self.zmin, | |
| 287 | vmax=self.zmax, |
|
314 | vmax=self.zmax, | |
| 288 | cmap=plt.get_cmap(self.colormap) |
|
315 | cmap=plt.get_cmap(self.colormap) | |
| 289 | ) |
|
316 | ) | |
| 290 | divider = make_axes_locatable(ax) |
|
317 | divider = make_axes_locatable(ax) | |
| 291 | cax = divider.new_horizontal(size='3%', pad=0.05) |
|
318 | cax = divider.new_horizontal(size='3%', pad=0.05) | |
| 292 | self.figure.add_axes(cax) |
|
319 | self.figure.add_axes(cax) | |
| 293 | plt.colorbar(ax.plot, cax) |
|
320 | plt.colorbar(ax.plot, cax) | |
| 294 |
|
321 | |||
| 295 | ax.set_xlim(self.xmin, self.xmax) |
|
322 | ax.set_xlim(self.xmin, self.xmax) | |
| 296 | ax.set_ylim(self.ymin, self.ymax) |
|
323 | ax.set_ylim(self.ymin, self.ymax) | |
| 297 |
|
324 | |||
| 298 | ax.set_ylabel(self.ylabel) |
|
325 | ax.set_ylabel(self.ylabel) | |
| 299 | ax.set_xlabel(xlabel) |
|
326 | ax.set_xlabel(xlabel) | |
| 300 |
|
327 | |||
| 301 | ax.firsttime = False |
|
328 | ax.firsttime = False | |
| 302 |
|
329 | |||
| 303 | if self.showprofile: |
|
330 | if self.showprofile: | |
| 304 | ax.plot_profile= ax.ax_profile.plot(self.data['rti'][self.max_time][n], y)[0] |
|
331 | ax.plot_profile= ax.ax_profile.plot(self.data['rti'][self.max_time][n], y)[0] | |
| 305 | ax.ax_profile.set_xlim(self.zmin, self.zmax) |
|
332 | ax.ax_profile.set_xlim(self.zmin, self.zmax) | |
| 306 | ax.ax_profile.set_ylim(self.ymin, self.ymax) |
|
333 | ax.ax_profile.set_ylim(self.ymin, self.ymax) | |
| 307 | ax.ax_profile.set_xlabel('dB') |
|
334 | ax.ax_profile.set_xlabel('dB') | |
| 308 | ax.ax_profile.grid(b=True, axis='x') |
|
335 | ax.ax_profile.grid(b=True, axis='x') | |
| 309 | ax.plot_noise = ax.ax_profile.plot(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y, |
|
336 | ax.plot_noise = ax.ax_profile.plot(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y, | |
| 310 | color="k", linestyle="dashed", lw=2)[0] |
|
337 | color="k", linestyle="dashed", lw=2)[0] | |
| 311 | [tick.set_visible(False) for tick in ax.ax_profile.get_yticklabels()] |
|
338 | [tick.set_visible(False) for tick in ax.ax_profile.get_yticklabels()] | |
| 312 | else: |
|
339 | else: | |
| 313 | ax.plot.set_array(z[n].T.ravel()) |
|
340 | ax.plot.set_array(z[n].T.ravel()) | |
| 314 | if self.showprofile: |
|
341 | if self.showprofile: | |
| 315 | ax.plot_profile.set_data(self.data['rti'][self.max_time][n], y) |
|
342 | ax.plot_profile.set_data(self.data['rti'][self.max_time][n], y) | |
| 316 | ax.plot_noise.set_data(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y) |
|
343 | ax.plot_noise.set_data(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y) | |
| 317 |
|
344 | |||
| 318 | ax.set_title('{} - Noise: {:.2f} dB'.format(self.titles[n], self.data['noise'][self.max_time][n]), |
|
345 | ax.set_title('{} - Noise: {:.2f} dB'.format(self.titles[n], self.data['noise'][self.max_time][n]), | |
| 319 | size=8) |
|
346 | size=8) | |
| 320 | self.saveTime = self.max_time |
|
347 | self.saveTime = self.max_time | |
| 321 |
|
348 | |||
| 322 |
|
349 | |||
| 323 | class PlotCrossSpectraData(PlotData): |
|
350 | class PlotCrossSpectraData(PlotData): | |
| 324 |
|
351 | |||
| 325 | CODE = 'cspc' |
|
352 | CODE = 'cspc' | |
| 326 | zmin_coh = None |
|
353 | zmin_coh = None | |
| 327 | zmax_coh = None |
|
354 | zmax_coh = None | |
| 328 | zmin_phase = None |
|
355 | zmin_phase = None | |
| 329 | zmax_phase = None |
|
356 | zmax_phase = None | |
| 330 | CONFLATE = False |
|
357 | CONFLATE = False | |
| 331 |
|
358 | |||
| 332 | def setup(self): |
|
359 | def setup(self): | |
| 333 |
|
360 | |||
| 334 | ncolspan = 1 |
|
361 | ncolspan = 1 | |
| 335 | colspan = 1 |
|
362 | colspan = 1 | |
| 336 | self.ncols = 2 |
|
363 | self.ncols = 2 | |
| 337 | self.nrows = self.dataOut.nPairs |
|
364 | self.nrows = self.dataOut.nPairs | |
| 338 | self.width = 3.6*self.ncols |
|
365 | self.width = 3.6*self.ncols | |
| 339 | self.height = 3.2*self.nrows |
|
366 | self.height = 3.2*self.nrows | |
| 340 |
|
367 | |||
| 341 | self.ylabel = 'Range [Km]' |
|
368 | self.ylabel = 'Range [Km]' | |
| 342 | self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList] |
|
369 | self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList] | |
| 343 |
|
370 | |||
| 344 | if self.figure is None: |
|
371 | if self.figure is None: | |
| 345 | self.figure = plt.figure(figsize=(self.width, self.height), |
|
372 | self.figure = plt.figure(figsize=(self.width, self.height), | |
| 346 | edgecolor='k', |
|
373 | edgecolor='k', | |
| 347 | facecolor='w') |
|
374 | facecolor='w') | |
| 348 | else: |
|
375 | else: | |
| 349 | self.figure.clf() |
|
376 | self.figure.clf() | |
| 350 |
|
377 | |||
| 351 | for y in range(self.nrows): |
|
378 | for y in range(self.nrows): | |
| 352 | for x in range(self.ncols): |
|
379 | for x in range(self.ncols): | |
| 353 | ax = plt.subplot2grid((self.nrows, self.ncols), (y, x), 1, 1) |
|
380 | ax = plt.subplot2grid((self.nrows, self.ncols), (y, x), 1, 1) | |
| 354 | ax.firsttime = True |
|
381 | ax.firsttime = True | |
| 355 | self.axes.append(ax) |
|
382 | self.axes.append(ax) | |
| 356 |
|
383 | |||
| 357 | def plot(self): |
|
384 | def plot(self): | |
| 358 |
|
385 | |||
| 359 | if self.xaxis == "frequency": |
|
386 | if self.xaxis == "frequency": | |
| 360 | x = self.dataOut.getFreqRange(1)/1000. |
|
387 | x = self.dataOut.getFreqRange(1)/1000. | |
| 361 | xlabel = "Frequency (kHz)" |
|
388 | xlabel = "Frequency (kHz)" | |
| 362 | elif self.xaxis == "time": |
|
389 | elif self.xaxis == "time": | |
| 363 | x = self.dataOut.getAcfRange(1) |
|
390 | x = self.dataOut.getAcfRange(1) | |
| 364 | xlabel = "Time (ms)" |
|
391 | xlabel = "Time (ms)" | |
| 365 | else: |
|
392 | else: | |
| 366 | x = self.dataOut.getVelRange(1) |
|
393 | x = self.dataOut.getVelRange(1) | |
| 367 | xlabel = "Velocity (m/s)" |
|
394 | xlabel = "Velocity (m/s)" | |
| 368 |
|
395 | |||
| 369 | y = self.dataOut.getHeiRange() |
|
396 | y = self.dataOut.getHeiRange() | |
| 370 | z_coh = self.data['cspc_coh'] |
|
397 | z_coh = self.data['cspc_coh'] | |
| 371 | z_phase = self.data['cspc_phase'] |
|
398 | z_phase = self.data['cspc_phase'] | |
| 372 |
|
399 | |||
| 373 | for n in range(self.nrows): |
|
400 | for n in range(self.nrows): | |
| 374 | ax = self.axes[2*n] |
|
401 | ax = self.axes[2*n] | |
| 375 | ax1 = self.axes[2*n+1] |
|
402 | ax1 = self.axes[2*n+1] | |
| 376 | if ax.firsttime: |
|
403 | if ax.firsttime: | |
| 377 | self.xmax = self.xmax if self.xmax else np.nanmax(x) |
|
404 | self.xmax = self.xmax if self.xmax else np.nanmax(x) | |
| 378 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
405 | self.xmin = self.xmin if self.xmin else -self.xmax | |
| 379 | self.ymin = self.ymin if self.ymin else np.nanmin(y) |
|
406 | self.ymin = self.ymin if self.ymin else np.nanmin(y) | |
| 380 | self.ymax = self.ymax if self.ymax else np.nanmax(y) |
|
407 | self.ymax = self.ymax if self.ymax else np.nanmax(y) | |
| 381 | self.zmin_coh = self.zmin_coh if self.zmin_coh else 0.0 |
|
408 | self.zmin_coh = self.zmin_coh if self.zmin_coh else 0.0 | |
| 382 | self.zmax_coh = self.zmax_coh if self.zmax_coh else 1.0 |
|
409 | self.zmax_coh = self.zmax_coh if self.zmax_coh else 1.0 | |
| 383 | self.zmin_phase = self.zmin_phase if self.zmin_phase else -180 |
|
410 | self.zmin_phase = self.zmin_phase if self.zmin_phase else -180 | |
| 384 | self.zmax_phase = self.zmax_phase if self.zmax_phase else 180 |
|
411 | self.zmax_phase = self.zmax_phase if self.zmax_phase else 180 | |
| 385 |
|
412 | |||
| 386 | ax.plot = ax.pcolormesh(x, y, z_coh[n].T, |
|
413 | ax.plot = ax.pcolormesh(x, y, z_coh[n].T, | |
| 387 | vmin=self.zmin_coh, |
|
414 | vmin=self.zmin_coh, | |
| 388 | vmax=self.zmax_coh, |
|
415 | vmax=self.zmax_coh, | |
| 389 | cmap=plt.get_cmap(self.colormap_coh) |
|
416 | cmap=plt.get_cmap(self.colormap_coh) | |
| 390 | ) |
|
417 | ) | |
| 391 | divider = make_axes_locatable(ax) |
|
418 | divider = make_axes_locatable(ax) | |
| 392 | cax = divider.new_horizontal(size='3%', pad=0.05) |
|
419 | cax = divider.new_horizontal(size='3%', pad=0.05) | |
| 393 | self.figure.add_axes(cax) |
|
420 | self.figure.add_axes(cax) | |
| 394 | plt.colorbar(ax.plot, cax) |
|
421 | plt.colorbar(ax.plot, cax) | |
| 395 |
|
422 | |||
| 396 | ax.set_xlim(self.xmin, self.xmax) |
|
423 | ax.set_xlim(self.xmin, self.xmax) | |
| 397 | ax.set_ylim(self.ymin, self.ymax) |
|
424 | ax.set_ylim(self.ymin, self.ymax) | |
| 398 |
|
425 | |||
| 399 | ax.set_ylabel(self.ylabel) |
|
426 | ax.set_ylabel(self.ylabel) | |
| 400 | ax.set_xlabel(xlabel) |
|
427 | ax.set_xlabel(xlabel) | |
| 401 | ax.firsttime = False |
|
428 | ax.firsttime = False | |
| 402 |
|
429 | |||
| 403 | ax1.plot = ax1.pcolormesh(x, y, z_phase[n].T, |
|
430 | ax1.plot = ax1.pcolormesh(x, y, z_phase[n].T, | |
| 404 | vmin=self.zmin_phase, |
|
431 | vmin=self.zmin_phase, | |
| 405 | vmax=self.zmax_phase, |
|
432 | vmax=self.zmax_phase, | |
| 406 | cmap=plt.get_cmap(self.colormap_phase) |
|
433 | cmap=plt.get_cmap(self.colormap_phase) | |
| 407 | ) |
|
434 | ) | |
| 408 | divider = make_axes_locatable(ax1) |
|
435 | divider = make_axes_locatable(ax1) | |
| 409 | cax = divider.new_horizontal(size='3%', pad=0.05) |
|
436 | cax = divider.new_horizontal(size='3%', pad=0.05) | |
| 410 | self.figure.add_axes(cax) |
|
437 | self.figure.add_axes(cax) | |
| 411 | plt.colorbar(ax1.plot, cax) |
|
438 | plt.colorbar(ax1.plot, cax) | |
| 412 |
|
439 | |||
| 413 | ax1.set_xlim(self.xmin, self.xmax) |
|
440 | ax1.set_xlim(self.xmin, self.xmax) | |
| 414 | ax1.set_ylim(self.ymin, self.ymax) |
|
441 | ax1.set_ylim(self.ymin, self.ymax) | |
| 415 |
|
442 | |||
| 416 | ax1.set_ylabel(self.ylabel) |
|
443 | ax1.set_ylabel(self.ylabel) | |
| 417 | ax1.set_xlabel(xlabel) |
|
444 | ax1.set_xlabel(xlabel) | |
| 418 | ax1.firsttime = False |
|
445 | ax1.firsttime = False | |
| 419 | else: |
|
446 | else: | |
| 420 | ax.plot.set_array(z_coh[n].T.ravel()) |
|
447 | ax.plot.set_array(z_coh[n].T.ravel()) | |
| 421 | ax1.plot.set_array(z_phase[n].T.ravel()) |
|
448 | ax1.plot.set_array(z_phase[n].T.ravel()) | |
| 422 |
|
449 | |||
| 423 | ax.set_title('Coherence Ch{} * Ch{}'.format(self.dataOut.pairsList[n][0], self.dataOut.pairsList[n][1]), size=8) |
|
450 | ax.set_title('Coherence Ch{} * Ch{}'.format(self.dataOut.pairsList[n][0], self.dataOut.pairsList[n][1]), size=8) | |
| 424 | ax1.set_title('Phase Ch{} * Ch{}'.format(self.dataOut.pairsList[n][0], self.dataOut.pairsList[n][1]), size=8) |
|
451 | ax1.set_title('Phase Ch{} * Ch{}'.format(self.dataOut.pairsList[n][0], self.dataOut.pairsList[n][1]), size=8) | |
| 425 | self.saveTime = self.max_time |
|
452 | self.saveTime = self.max_time | |
| 426 |
|
453 | |||
| 427 |
|
454 | |||
| 428 | class PlotSpectraMeanData(PlotSpectraData): |
|
455 | class PlotSpectraMeanData(PlotSpectraData): | |
| 429 |
|
456 | |||
| 430 | CODE = 'spc_mean' |
|
457 | CODE = 'spc_mean' | |
| 431 | colormap = 'jet' |
|
458 | colormap = 'jet' | |
| 432 |
|
459 | |||
| 433 | def plot(self): |
|
460 | def plot(self): | |
| 434 |
|
461 | |||
| 435 | if self.xaxis == "frequency": |
|
462 | if self.xaxis == "frequency": | |
| 436 | x = self.dataOut.getFreqRange(1)/1000. |
|
463 | x = self.dataOut.getFreqRange(1)/1000. | |
| 437 | xlabel = "Frequency (kHz)" |
|
464 | xlabel = "Frequency (kHz)" | |
| 438 | elif self.xaxis == "time": |
|
465 | elif self.xaxis == "time": | |
| 439 | x = self.dataOut.getAcfRange(1) |
|
466 | x = self.dataOut.getAcfRange(1) | |
| 440 | xlabel = "Time (ms)" |
|
467 | xlabel = "Time (ms)" | |
| 441 | else: |
|
468 | else: | |
| 442 | x = self.dataOut.getVelRange(1) |
|
469 | x = self.dataOut.getVelRange(1) | |
| 443 | xlabel = "Velocity (m/s)" |
|
470 | xlabel = "Velocity (m/s)" | |
| 444 |
|
471 | |||
| 445 | y = self.dataOut.getHeiRange() |
|
472 | y = self.dataOut.getHeiRange() | |
| 446 | z = self.data['spc'] |
|
473 | z = self.data['spc'] | |
| 447 | mean = self.data['mean'][self.max_time] |
|
474 | mean = self.data['mean'][self.max_time] | |
| 448 |
|
475 | |||
| 449 | for n, ax in enumerate(self.axes): |
|
476 | for n, ax in enumerate(self.axes): | |
| 450 |
|
477 | |||
| 451 | if ax.firsttime: |
|
478 | if ax.firsttime: | |
| 452 | self.xmax = self.xmax if self.xmax else np.nanmax(x) |
|
479 | self.xmax = self.xmax if self.xmax else np.nanmax(x) | |
| 453 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
480 | self.xmin = self.xmin if self.xmin else -self.xmax | |
| 454 | self.ymin = self.ymin if self.ymin else np.nanmin(y) |
|
481 | self.ymin = self.ymin if self.ymin else np.nanmin(y) | |
| 455 | self.ymax = self.ymax if self.ymax else np.nanmax(y) |
|
482 | self.ymax = self.ymax if self.ymax else np.nanmax(y) | |
| 456 | self.zmin = self.zmin if self.zmin else np.nanmin(z) |
|
483 | self.zmin = self.zmin if self.zmin else np.nanmin(z) | |
| 457 | self.zmax = self.zmax if self.zmax else np.nanmax(z) |
|
484 | self.zmax = self.zmax if self.zmax else np.nanmax(z) | |
| 458 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
485 | ax.plt = ax.pcolormesh(x, y, z[n].T, | |
| 459 | vmin=self.zmin, |
|
486 | vmin=self.zmin, | |
| 460 | vmax=self.zmax, |
|
487 | vmax=self.zmax, | |
| 461 | cmap=plt.get_cmap(self.colormap) |
|
488 | cmap=plt.get_cmap(self.colormap) | |
| 462 | ) |
|
489 | ) | |
| 463 | ax.plt_dop = ax.plot(mean[n], y, |
|
490 | ax.plt_dop = ax.plot(mean[n], y, | |
| 464 | color='k')[0] |
|
491 | color='k')[0] | |
| 465 |
|
492 | |||
| 466 | divider = make_axes_locatable(ax) |
|
493 | divider = make_axes_locatable(ax) | |
| 467 | cax = divider.new_horizontal(size='3%', pad=0.05) |
|
494 | cax = divider.new_horizontal(size='3%', pad=0.05) | |
| 468 | self.figure.add_axes(cax) |
|
495 | self.figure.add_axes(cax) | |
| 469 | plt.colorbar(ax.plt, cax) |
|
496 | plt.colorbar(ax.plt, cax) | |
| 470 |
|
497 | |||
| 471 | ax.set_xlim(self.xmin, self.xmax) |
|
498 | ax.set_xlim(self.xmin, self.xmax) | |
| 472 | ax.set_ylim(self.ymin, self.ymax) |
|
499 | ax.set_ylim(self.ymin, self.ymax) | |
| 473 |
|
500 | |||
| 474 | ax.set_ylabel(self.ylabel) |
|
501 | ax.set_ylabel(self.ylabel) | |
| 475 | ax.set_xlabel(xlabel) |
|
502 | ax.set_xlabel(xlabel) | |
| 476 |
|
503 | |||
| 477 | ax.firsttime = False |
|
504 | ax.firsttime = False | |
| 478 |
|
505 | |||
| 479 | if self.showprofile: |
|
506 | if self.showprofile: | |
| 480 | ax.plt_profile= ax.ax_profile.plot(self.data['rti'][self.max_time][n], y)[0] |
|
507 | ax.plt_profile= ax.ax_profile.plot(self.data['rti'][self.max_time][n], y)[0] | |
| 481 | ax.ax_profile.set_xlim(self.zmin, self.zmax) |
|
508 | ax.ax_profile.set_xlim(self.zmin, self.zmax) | |
| 482 | ax.ax_profile.set_ylim(self.ymin, self.ymax) |
|
509 | ax.ax_profile.set_ylim(self.ymin, self.ymax) | |
| 483 | ax.ax_profile.set_xlabel('dB') |
|
510 | ax.ax_profile.set_xlabel('dB') | |
| 484 | ax.ax_profile.grid(b=True, axis='x') |
|
511 | ax.ax_profile.grid(b=True, axis='x') | |
| 485 | ax.plt_noise = ax.ax_profile.plot(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y, |
|
512 | ax.plt_noise = ax.ax_profile.plot(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y, | |
| 486 | color="k", linestyle="dashed", lw=2)[0] |
|
513 | color="k", linestyle="dashed", lw=2)[0] | |
| 487 | [tick.set_visible(False) for tick in ax.ax_profile.get_yticklabels()] |
|
514 | [tick.set_visible(False) for tick in ax.ax_profile.get_yticklabels()] | |
| 488 | else: |
|
515 | else: | |
| 489 | ax.plt.set_array(z[n].T.ravel()) |
|
516 | ax.plt.set_array(z[n].T.ravel()) | |
| 490 | ax.plt_dop.set_data(mean[n], y) |
|
517 | ax.plt_dop.set_data(mean[n], y) | |
| 491 | if self.showprofile: |
|
518 | if self.showprofile: | |
| 492 | ax.plt_profile.set_data(self.data['rti'][self.max_time][n], y) |
|
519 | ax.plt_profile.set_data(self.data['rti'][self.max_time][n], y) | |
| 493 | ax.plt_noise.set_data(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y) |
|
520 | ax.plt_noise.set_data(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y) | |
| 494 |
|
521 | |||
| 495 | ax.set_title('{} - Noise: {:.2f} dB'.format(self.titles[n], self.data['noise'][self.max_time][n]), |
|
522 | ax.set_title('{} - Noise: {:.2f} dB'.format(self.titles[n], self.data['noise'][self.max_time][n]), | |
| 496 | size=8) |
|
523 | size=8) | |
| 497 | self.saveTime = self.max_time |
|
524 | self.saveTime = self.max_time | |
| 498 |
|
525 | |||
| 499 |
|
526 | |||
| 500 | class PlotRTIData(PlotData): |
|
527 | class PlotRTIData(PlotData): | |
| 501 |
|
528 | |||
| 502 | CODE = 'rti' |
|
529 | CODE = 'rti' | |
| 503 | colormap = 'jro' |
|
530 | colormap = 'jro' | |
| 504 |
|
531 | |||
| 505 | def setup(self): |
|
532 | def setup(self): | |
| 506 | self.ncols = 1 |
|
533 | self.ncols = 1 | |
| 507 | self.nrows = self.dataOut.nChannels |
|
534 | self.nrows = self.dataOut.nChannels | |
| 508 | self.width = 10 |
|
535 | self.width = 10 | |
| 509 | self.height = 2.2*self.nrows if self.nrows<6 else 12 |
|
536 | self.height = 2.2*self.nrows if self.nrows<6 else 12 | |
| 510 | if self.nrows==1: |
|
537 | if self.nrows==1: | |
| 511 | self.height += 1 |
|
538 | self.height += 1 | |
| 512 | self.ylabel = 'Range [Km]' |
|
539 | self.ylabel = 'Range [Km]' | |
| 513 | self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList] |
|
540 | self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList] | |
| 514 |
|
541 | |||
| 515 | ''' |
|
542 | ''' | |
| 516 | Logica: |
|
543 | Logica: | |
| 517 | 1) Si la variable ind_plt_ch es True, va a crear mas de 1 figura |
|
544 | 1) Si la variable ind_plt_ch es True, va a crear mas de 1 figura | |
| 518 | 2) guardamos "Figures" en una lista y "axes" en otra, quizas se deberia guardar el |
|
545 | 2) guardamos "Figures" en una lista y "axes" en otra, quizas se deberia guardar el | |
| 519 | axis dentro de "Figures" como un diccionario. |
|
546 | axis dentro de "Figures" como un diccionario. | |
| 520 | ''' |
|
547 | ''' | |
| 521 | if self.ind_plt_ch is False: #standard mode |
|
548 | if self.ind_plt_ch is False: #standard mode | |
| 522 |
|
549 | |||
| 523 | if self.figure is None: #solo para la priemra vez |
|
550 | if self.figure is None: #solo para la priemra vez | |
| 524 | self.figure = plt.figure(figsize=(self.width, self.height), |
|
551 | self.figure = plt.figure(figsize=(self.width, self.height), | |
| 525 | edgecolor='k', |
|
552 | edgecolor='k', | |
| 526 | facecolor='w') |
|
553 | facecolor='w') | |
| 527 | else: |
|
554 | else: | |
| 528 | self.figure.clf() |
|
555 | self.figure.clf() | |
| 529 | self.axes = [] |
|
556 | self.axes = [] | |
| 530 |
|
557 | |||
| 531 |
|
558 | |||
| 532 | for n in range(self.nrows): |
|
559 | for n in range(self.nrows): | |
| 533 | ax = self.figure.add_subplot(self.nrows, self.ncols, n+1) |
|
560 | ax = self.figure.add_subplot(self.nrows, self.ncols, n+1) | |
| 534 | #ax = self.figure(n+1) |
|
561 | #ax = self.figure(n+1) | |
| 535 | ax.firsttime = True |
|
562 | ax.firsttime = True | |
| 536 | self.axes.append(ax) |
|
563 | self.axes.append(ax) | |
| 537 |
|
564 | |||
| 538 | else : #append one figure foreach channel in channelList |
|
565 | else : #append one figure foreach channel in channelList | |
| 539 | if self.figurelist == None: |
|
566 | if self.figurelist == None: | |
| 540 | self.figurelist = [] |
|
567 | self.figurelist = [] | |
| 541 | for n in range(self.nrows): |
|
568 | for n in range(self.nrows): | |
| 542 | self.figure = plt.figure(figsize=(self.width, self.height), |
|
569 | self.figure = plt.figure(figsize=(self.width, self.height), | |
| 543 | edgecolor='k', |
|
570 | edgecolor='k', | |
| 544 | facecolor='w') |
|
571 | facecolor='w') | |
| 545 | #add always one subplot |
|
572 | #add always one subplot | |
| 546 | self.figurelist.append(self.figure) |
|
573 | self.figurelist.append(self.figure) | |
| 547 |
|
574 | |||
| 548 | else : # cada dia nuevo limpia el axes, pero mantiene el figure |
|
575 | else : # cada dia nuevo limpia el axes, pero mantiene el figure | |
| 549 | for eachfigure in self.figurelist: |
|
576 | for eachfigure in self.figurelist: | |
| 550 | eachfigure.clf() # eliminaria todas las figuras de la lista? |
|
577 | eachfigure.clf() # eliminaria todas las figuras de la lista? | |
| 551 | self.axes = [] |
|
578 | self.axes = [] | |
| 552 |
|
579 | |||
| 553 | for eachfigure in self.figurelist: |
|
580 | for eachfigure in self.figurelist: | |
| 554 | ax = eachfigure.add_subplot(1,1,1) #solo 1 axis por figura |
|
581 | ax = eachfigure.add_subplot(1,1,1) #solo 1 axis por figura | |
| 555 | #ax = self.figure(n+1) |
|
582 | #ax = self.figure(n+1) | |
| 556 | ax.firsttime = True |
|
583 | ax.firsttime = True | |
| 557 | #Cada figura tiene un distinto puntero |
|
584 | #Cada figura tiene un distinto puntero | |
| 558 | self.axes.append(ax) |
|
585 | self.axes.append(ax) | |
| 559 | #plt.close(eachfigure) |
|
586 | #plt.close(eachfigure) | |
| 560 |
|
587 | |||
| 561 |
|
588 | |||
| 562 | def plot(self): |
|
589 | def plot(self): | |
| 563 |
|
590 | |||
| 564 | if self.ind_plt_ch is False: #standard mode |
|
591 | if self.ind_plt_ch is False: #standard mode | |
| 565 | self.x = np.array(self.times) |
|
592 | self.x = np.array(self.times) | |
| 566 | self.y = self.dataOut.getHeiRange() |
|
593 | self.y = self.dataOut.getHeiRange() | |
| 567 | self.z = [] |
|
594 | self.z = [] | |
| 568 |
|
595 | |||
| 569 | for ch in range(self.nrows): |
|
596 | for ch in range(self.nrows): | |
| 570 | self.z.append([self.data[self.CODE][t][ch] for t in self.times]) |
|
597 | self.z.append([self.data[self.CODE][t][ch] for t in self.times]) | |
| 571 |
|
598 | |||
| 572 | self.z = np.array(self.z) |
|
599 | self.z = np.array(self.z) | |
| 573 | for n, ax in enumerate(self.axes): |
|
600 | for n, ax in enumerate(self.axes): | |
| 574 | x, y, z = self.fill_gaps(*self.decimate()) |
|
601 | x, y, z = self.fill_gaps(*self.decimate()) | |
| 575 | xmin = self.min_time |
|
602 | xmin = self.min_time | |
| 576 | xmax = xmin+self.xrange*60*60 |
|
603 | xmax = xmin+self.xrange*60*60 | |
| 577 | self.zmin = self.zmin if self.zmin else np.min(self.z) |
|
604 | self.zmin = self.zmin if self.zmin else np.min(self.z) | |
| 578 | self.zmax = self.zmax if self.zmax else np.max(self.z) |
|
605 | self.zmax = self.zmax if self.zmax else np.max(self.z) | |
| 579 | if ax.firsttime: |
|
606 | if ax.firsttime: | |
| 580 | self.ymin = self.ymin if self.ymin else np.nanmin(self.y) |
|
607 | self.ymin = self.ymin if self.ymin else np.nanmin(self.y) | |
| 581 | self.ymax = self.ymax if self.ymax else np.nanmax(self.y) |
|
608 | self.ymax = self.ymax if self.ymax else np.nanmax(self.y) | |
| 582 | plot = ax.pcolormesh(x, y, z[n].T, |
|
609 | plot = ax.pcolormesh(x, y, z[n].T, | |
| 583 | vmin=self.zmin, |
|
610 | vmin=self.zmin, | |
| 584 | vmax=self.zmax, |
|
611 | vmax=self.zmax, | |
| 585 | cmap=plt.get_cmap(self.colormap) |
|
612 | cmap=plt.get_cmap(self.colormap) | |
| 586 | ) |
|
613 | ) | |
| 587 | divider = make_axes_locatable(ax) |
|
614 | divider = make_axes_locatable(ax) | |
| 588 | cax = divider.new_horizontal(size='2%', pad=0.05) |
|
615 | cax = divider.new_horizontal(size='2%', pad=0.05) | |
| 589 | self.figure.add_axes(cax) |
|
616 | self.figure.add_axes(cax) | |
| 590 | plt.colorbar(plot, cax) |
|
617 | plt.colorbar(plot, cax) | |
| 591 | ax.set_ylim(self.ymin, self.ymax) |
|
618 | ax.set_ylim(self.ymin, self.ymax) | |
| 592 | ax.xaxis.set_major_formatter(FuncFormatter(func)) |
|
619 | ax.xaxis.set_major_formatter(FuncFormatter(func)) | |
| 593 | ax.xaxis.set_major_locator(LinearLocator(6)) |
|
620 | ax.xaxis.set_major_locator(LinearLocator(6)) | |
| 594 | ax.set_ylabel(self.ylabel) |
|
621 | ax.set_ylabel(self.ylabel) | |
| 595 | if self.xmin is None: |
|
622 | if self.xmin is None: | |
| 596 | xmin = self.min_time |
|
623 | xmin = self.min_time | |
| 597 | else: |
|
624 | else: | |
| 598 | xmin = (datetime.datetime.combine(self.dataOut.datatime.date(), |
|
625 | xmin = (datetime.datetime.combine(self.dataOut.datatime.date(), | |
| 599 | datetime.time(self.xmin, 0, 0))-d1970).total_seconds() |
|
626 | datetime.time(self.xmin, 0, 0))-d1970).total_seconds() | |
| 600 | ax.set_xlim(xmin, xmax) |
|
627 | ax.set_xlim(xmin, xmax) | |
| 601 | ax.firsttime = False |
|
628 | ax.firsttime = False | |
| 602 | else: |
|
629 | else: | |
| 603 | ax.collections.remove(ax.collections[0]) |
|
630 | ax.collections.remove(ax.collections[0]) | |
| 604 | ax.set_xlim(xmin, xmax) |
|
631 | ax.set_xlim(xmin, xmax) | |
| 605 | plot = ax.pcolormesh(x, y, z[n].T, |
|
632 | plot = ax.pcolormesh(x, y, z[n].T, | |
| 606 | vmin=self.zmin, |
|
633 | vmin=self.zmin, | |
| 607 | vmax=self.zmax, |
|
634 | vmax=self.zmax, | |
| 608 | cmap=plt.get_cmap(self.colormap) |
|
635 | cmap=plt.get_cmap(self.colormap) | |
| 609 | ) |
|
636 | ) | |
| 610 | ax.set_title('{} {}'.format(self.titles[n], |
|
637 | ax.set_title('{} {}'.format(self.titles[n], | |
| 611 | datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')), |
|
638 | datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')), | |
| 612 | size=8) |
|
639 | size=8) | |
| 613 |
|
640 | |||
| 614 | self.saveTime = self.min_time |
|
641 | self.saveTime = self.min_time | |
| 615 | else : |
|
642 | else : | |
| 616 | self.x = np.array(self.times) |
|
643 | self.x = np.array(self.times) | |
| 617 | self.y = self.dataOut.getHeiRange() |
|
644 | self.y = self.dataOut.getHeiRange() | |
| 618 | self.z = [] |
|
645 | self.z = [] | |
| 619 |
|
646 | |||
| 620 | for ch in range(self.nrows): |
|
647 | for ch in range(self.nrows): | |
| 621 | self.z.append([self.data[self.CODE][t][ch] for t in self.times]) |
|
648 | self.z.append([self.data[self.CODE][t][ch] for t in self.times]) | |
| 622 |
|
649 | |||
| 623 | self.z = np.array(self.z) |
|
650 | self.z = np.array(self.z) | |
| 624 | for n, eachfigure in enumerate(self.figurelist): #estaba ax in axes |
|
651 | for n, eachfigure in enumerate(self.figurelist): #estaba ax in axes | |
| 625 |
|
652 | |||
| 626 | x, y, z = self.fill_gaps(*self.decimate()) |
|
653 | x, y, z = self.fill_gaps(*self.decimate()) | |
| 627 | xmin = self.min_time |
|
654 | xmin = self.min_time | |
| 628 | xmax = xmin+self.xrange*60*60 |
|
655 | xmax = xmin+self.xrange*60*60 | |
| 629 | self.zmin = self.zmin if self.zmin else np.min(self.z) |
|
656 | self.zmin = self.zmin if self.zmin else np.min(self.z) | |
| 630 | self.zmax = self.zmax if self.zmax else np.max(self.z) |
|
657 | self.zmax = self.zmax if self.zmax else np.max(self.z) | |
| 631 | if self.axes[n].firsttime: |
|
658 | if self.axes[n].firsttime: | |
| 632 | self.ymin = self.ymin if self.ymin else np.nanmin(self.y) |
|
659 | self.ymin = self.ymin if self.ymin else np.nanmin(self.y) | |
| 633 | self.ymax = self.ymax if self.ymax else np.nanmax(self.y) |
|
660 | self.ymax = self.ymax if self.ymax else np.nanmax(self.y) | |
| 634 | plot = self.axes[n].pcolormesh(x, y, z[n].T, |
|
661 | plot = self.axes[n].pcolormesh(x, y, z[n].T, | |
| 635 | vmin=self.zmin, |
|
662 | vmin=self.zmin, | |
| 636 | vmax=self.zmax, |
|
663 | vmax=self.zmax, | |
| 637 | cmap=plt.get_cmap(self.colormap) |
|
664 | cmap=plt.get_cmap(self.colormap) | |
| 638 | ) |
|
665 | ) | |
| 639 | divider = make_axes_locatable(self.axes[n]) |
|
666 | divider = make_axes_locatable(self.axes[n]) | |
| 640 | cax = divider.new_horizontal(size='2%', pad=0.05) |
|
667 | cax = divider.new_horizontal(size='2%', pad=0.05) | |
| 641 | eachfigure.add_axes(cax) |
|
668 | eachfigure.add_axes(cax) | |
| 642 | #self.figure2.add_axes(cax) |
|
669 | #self.figure2.add_axes(cax) | |
| 643 | plt.colorbar(plot, cax) |
|
670 | plt.colorbar(plot, cax) | |
| 644 | self.axes[n].set_ylim(self.ymin, self.ymax) |
|
671 | self.axes[n].set_ylim(self.ymin, self.ymax) | |
| 645 |
|
672 | |||
| 646 | self.axes[n].xaxis.set_major_formatter(FuncFormatter(func)) |
|
673 | self.axes[n].xaxis.set_major_formatter(FuncFormatter(func)) | |
| 647 | self.axes[n].xaxis.set_major_locator(LinearLocator(6)) |
|
674 | self.axes[n].xaxis.set_major_locator(LinearLocator(6)) | |
| 648 |
|
675 | |||
| 649 | self.axes[n].set_ylabel(self.ylabel) |
|
676 | self.axes[n].set_ylabel(self.ylabel) | |
| 650 |
|
677 | |||
| 651 | if self.xmin is None: |
|
678 | if self.xmin is None: | |
| 652 | xmin = self.min_time |
|
679 | xmin = self.min_time | |
| 653 | else: |
|
680 | else: | |
| 654 | xmin = (datetime.datetime.combine(self.dataOut.datatime.date(), |
|
681 | xmin = (datetime.datetime.combine(self.dataOut.datatime.date(), | |
| 655 | datetime.time(self.xmin, 0, 0))-d1970).total_seconds() |
|
682 | datetime.time(self.xmin, 0, 0))-d1970).total_seconds() | |
| 656 |
|
683 | |||
| 657 | self.axes[n].set_xlim(xmin, xmax) |
|
684 | self.axes[n].set_xlim(xmin, xmax) | |
| 658 | self.axes[n].firsttime = False |
|
685 | self.axes[n].firsttime = False | |
| 659 | else: |
|
686 | else: | |
| 660 | self.axes[n].collections.remove(self.axes[n].collections[0]) |
|
687 | self.axes[n].collections.remove(self.axes[n].collections[0]) | |
| 661 | self.axes[n].set_xlim(xmin, xmax) |
|
688 | self.axes[n].set_xlim(xmin, xmax) | |
| 662 | plot = self.axes[n].pcolormesh(x, y, z[n].T, |
|
689 | plot = self.axes[n].pcolormesh(x, y, z[n].T, | |
| 663 | vmin=self.zmin, |
|
690 | vmin=self.zmin, | |
| 664 | vmax=self.zmax, |
|
691 | vmax=self.zmax, | |
| 665 | cmap=plt.get_cmap(self.colormap) |
|
692 | cmap=plt.get_cmap(self.colormap) | |
| 666 | ) |
|
693 | ) | |
| 667 | self.axes[n].set_title('{} {}'.format(self.titles[n], |
|
694 | self.axes[n].set_title('{} {}'.format(self.titles[n], | |
| 668 | datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')), |
|
695 | datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')), | |
| 669 | size=8) |
|
696 | size=8) | |
| 670 |
|
697 | |||
| 671 | self.saveTime = self.min_time |
|
698 | self.saveTime = self.min_time | |
| 672 |
|
699 | |||
| 673 |
|
700 | |||
| 674 | class PlotCOHData(PlotRTIData): |
|
701 | class PlotCOHData(PlotRTIData): | |
| 675 |
|
702 | |||
| 676 | CODE = 'coh' |
|
703 | CODE = 'coh' | |
| 677 |
|
704 | |||
| 678 | def setup(self): |
|
705 | def setup(self): | |
| 679 |
|
706 | |||
| 680 | self.ncols = 1 |
|
707 | self.ncols = 1 | |
| 681 | self.nrows = self.dataOut.nPairs |
|
708 | self.nrows = self.dataOut.nPairs | |
| 682 | self.width = 10 |
|
709 | self.width = 10 | |
| 683 | self.height = 2.2*self.nrows if self.nrows<6 else 12 |
|
710 | self.height = 2.2*self.nrows if self.nrows<6 else 12 | |
| 684 | if self.nrows==1: |
|
711 | if self.nrows==1: | |
| 685 | self.height += 1 |
|
712 | self.height += 1 | |
| 686 | self.ylabel = 'Range [Km]' |
|
713 | self.ylabel = 'Range [Km]' | |
| 687 | self.titles = ['{} Ch{} * Ch{}'.format(self.CODE.upper(), x[0], x[1]) for x in self.dataOut.pairsList] |
|
714 | self.titles = ['{} Ch{} * Ch{}'.format(self.CODE.upper(), x[0], x[1]) for x in self.dataOut.pairsList] | |
| 688 |
|
715 | |||
| 689 | if self.figure is None: |
|
716 | if self.figure is None: | |
| 690 | self.figure = plt.figure(figsize=(self.width, self.height), |
|
717 | self.figure = plt.figure(figsize=(self.width, self.height), | |
| 691 | edgecolor='k', |
|
718 | edgecolor='k', | |
| 692 | facecolor='w') |
|
719 | facecolor='w') | |
| 693 | else: |
|
720 | else: | |
| 694 | self.figure.clf() |
|
721 | self.figure.clf() | |
| 695 | self.axes = [] |
|
722 | self.axes = [] | |
| 696 |
|
723 | |||
| 697 | for n in range(self.nrows): |
|
724 | for n in range(self.nrows): | |
| 698 | ax = self.figure.add_subplot(self.nrows, self.ncols, n+1) |
|
725 | ax = self.figure.add_subplot(self.nrows, self.ncols, n+1) | |
| 699 | ax.firsttime = True |
|
726 | ax.firsttime = True | |
| 700 | self.axes.append(ax) |
|
727 | self.axes.append(ax) | |
| 701 |
|
728 | |||
| 702 |
|
729 | |||
| 703 | class PlotNoiseData(PlotData): |
|
730 | class PlotNoiseData(PlotData): | |
| 704 | CODE = 'noise' |
|
731 | CODE = 'noise' | |
| 705 |
|
732 | |||
| 706 | def setup(self): |
|
733 | def setup(self): | |
| 707 |
|
734 | |||
| 708 | self.ncols = 1 |
|
735 | self.ncols = 1 | |
| 709 | self.nrows = 1 |
|
736 | self.nrows = 1 | |
| 710 | self.width = 10 |
|
737 | self.width = 10 | |
| 711 | self.height = 3.2 |
|
738 | self.height = 3.2 | |
| 712 | self.ylabel = 'Intensity [dB]' |
|
739 | self.ylabel = 'Intensity [dB]' | |
| 713 | self.titles = ['Noise'] |
|
740 | self.titles = ['Noise'] | |
| 714 |
|
741 | |||
| 715 | if self.figure is None: |
|
742 | if self.figure is None: | |
| 716 | self.figure = plt.figure(figsize=(self.width, self.height), |
|
743 | self.figure = plt.figure(figsize=(self.width, self.height), | |
| 717 | edgecolor='k', |
|
744 | edgecolor='k', | |
| 718 | facecolor='w') |
|
745 | facecolor='w') | |
| 719 | else: |
|
746 | else: | |
| 720 | self.figure.clf() |
|
747 | self.figure.clf() | |
| 721 | self.axes = [] |
|
748 | self.axes = [] | |
| 722 |
|
749 | |||
| 723 | self.ax = self.figure.add_subplot(self.nrows, self.ncols, 1) |
|
750 | self.ax = self.figure.add_subplot(self.nrows, self.ncols, 1) | |
| 724 | self.ax.firsttime = True |
|
751 | self.ax.firsttime = True | |
| 725 |
|
752 | |||
| 726 | def plot(self): |
|
753 | def plot(self): | |
| 727 |
|
754 | |||
| 728 | x = self.times |
|
755 | x = self.times | |
| 729 | xmin = self.min_time |
|
756 | xmin = self.min_time | |
| 730 | xmax = xmin+self.xrange*60*60 |
|
757 | xmax = xmin+self.xrange*60*60 | |
| 731 | if self.ax.firsttime: |
|
758 | if self.ax.firsttime: | |
| 732 | for ch in self.dataOut.channelList: |
|
759 | for ch in self.dataOut.channelList: | |
| 733 | y = [self.data[self.CODE][t][ch] for t in self.times] |
|
760 | y = [self.data[self.CODE][t][ch] for t in self.times] | |
| 734 | self.ax.plot(x, y, lw=1, label='Ch{}'.format(ch)) |
|
761 | self.ax.plot(x, y, lw=1, label='Ch{}'.format(ch)) | |
| 735 | self.ax.firsttime = False |
|
762 | self.ax.firsttime = False | |
| 736 | self.ax.xaxis.set_major_formatter(FuncFormatter(func)) |
|
763 | self.ax.xaxis.set_major_formatter(FuncFormatter(func)) | |
| 737 | self.ax.xaxis.set_major_locator(LinearLocator(6)) |
|
764 | self.ax.xaxis.set_major_locator(LinearLocator(6)) | |
| 738 | self.ax.set_ylabel(self.ylabel) |
|
765 | self.ax.set_ylabel(self.ylabel) | |
| 739 | plt.legend() |
|
766 | plt.legend() | |
| 740 | else: |
|
767 | else: | |
| 741 | for ch in self.dataOut.channelList: |
|
768 | for ch in self.dataOut.channelList: | |
| 742 | y = [self.data[self.CODE][t][ch] for t in self.times] |
|
769 | y = [self.data[self.CODE][t][ch] for t in self.times] | |
| 743 | self.ax.lines[ch].set_data(x, y) |
|
770 | self.ax.lines[ch].set_data(x, y) | |
| 744 |
|
771 | |||
| 745 | self.ax.set_xlim(xmin, xmax) |
|
772 | self.ax.set_xlim(xmin, xmax) | |
| 746 | self.ax.set_ylim(min(y)-5, max(y)+5) |
|
773 | self.ax.set_ylim(min(y)-5, max(y)+5) | |
| 747 | self.saveTime = self.min_time |
|
774 | self.saveTime = self.min_time | |
| 748 |
|
775 | |||
| 749 |
|
776 | |||
| 750 | class PlotWindProfilerData(PlotRTIData): |
|
777 | class PlotWindProfilerData(PlotRTIData): | |
| 751 |
|
778 | |||
| 752 | CODE = 'wind' |
|
779 | CODE = 'wind' | |
| 753 | colormap = 'seismic' |
|
780 | colormap = 'seismic' | |
| 754 |
|
781 | |||
| 755 | def setup(self): |
|
782 | def setup(self): | |
| 756 | self.ncols = 1 |
|
783 | self.ncols = 1 | |
| 757 | self.nrows = self.dataOut.data_output.shape[0] |
|
784 | self.nrows = self.dataOut.data_output.shape[0] | |
| 758 | self.width = 10 |
|
785 | self.width = 10 | |
| 759 | self.height = 2.2*self.nrows |
|
786 | self.height = 2.2*self.nrows | |
| 760 | self.ylabel = 'Height [Km]' |
|
787 | self.ylabel = 'Height [Km]' | |
| 761 | self.titles = ['Zonal Wind' ,'Meridional Wind', 'Vertical Wind'] |
|
788 | self.titles = ['Zonal Wind' ,'Meridional Wind', 'Vertical Wind'] | |
| 762 | self.clabels = ['Velocity (m/s)','Velocity (m/s)','Velocity (cm/s)'] |
|
789 | self.clabels = ['Velocity (m/s)','Velocity (m/s)','Velocity (cm/s)'] | |
| 763 | self.windFactor = [1, 1, 100] |
|
790 | self.windFactor = [1, 1, 100] | |
| 764 |
|
791 | |||
| 765 | if self.figure is None: |
|
792 | if self.figure is None: | |
| 766 | self.figure = plt.figure(figsize=(self.width, self.height), |
|
793 | self.figure = plt.figure(figsize=(self.width, self.height), | |
| 767 | edgecolor='k', |
|
794 | edgecolor='k', | |
| 768 | facecolor='w') |
|
795 | facecolor='w') | |
| 769 | else: |
|
796 | else: | |
| 770 | self.figure.clf() |
|
797 | self.figure.clf() | |
| 771 | self.axes = [] |
|
798 | self.axes = [] | |
| 772 |
|
799 | |||
| 773 | for n in range(self.nrows): |
|
800 | for n in range(self.nrows): | |
| 774 | ax = self.figure.add_subplot(self.nrows, self.ncols, n+1) |
|
801 | ax = self.figure.add_subplot(self.nrows, self.ncols, n+1) | |
| 775 | ax.firsttime = True |
|
802 | ax.firsttime = True | |
| 776 | self.axes.append(ax) |
|
803 | self.axes.append(ax) | |
| 777 |
|
804 | |||
| 778 | def plot(self): |
|
805 | def plot(self): | |
| 779 |
|
806 | |||
| 780 | self.x = np.array(self.times) |
|
807 | self.x = np.array(self.times) | |
| 781 | self.y = self.dataOut.heightList |
|
808 | self.y = self.dataOut.heightList | |
| 782 | self.z = [] |
|
809 | self.z = [] | |
| 783 |
|
810 | |||
| 784 | for ch in range(self.nrows): |
|
811 | for ch in range(self.nrows): | |
| 785 | self.z.append([self.data['output'][t][ch] for t in self.times]) |
|
812 | self.z.append([self.data['output'][t][ch] for t in self.times]) | |
| 786 |
|
813 | |||
| 787 | self.z = np.array(self.z) |
|
814 | self.z = np.array(self.z) | |
| 788 | self.z = numpy.ma.masked_invalid(self.z) |
|
815 | self.z = numpy.ma.masked_invalid(self.z) | |
| 789 |
|
816 | |||
| 790 | cmap=plt.get_cmap(self.colormap) |
|
817 | cmap=plt.get_cmap(self.colormap) | |
| 791 | cmap.set_bad('black', 1.) |
|
818 | cmap.set_bad('black', 1.) | |
| 792 |
|
819 | |||
| 793 | for n, ax in enumerate(self.axes): |
|
820 | for n, ax in enumerate(self.axes): | |
| 794 | x, y, z = self.fill_gaps(*self.decimate()) |
|
821 | x, y, z = self.fill_gaps(*self.decimate()) | |
| 795 | xmin = self.min_time |
|
822 | xmin = self.min_time | |
| 796 | xmax = xmin+self.xrange*60*60 |
|
823 | xmax = xmin+self.xrange*60*60 | |
| 797 | if ax.firsttime: |
|
824 | if ax.firsttime: | |
| 798 | self.ymin = self.ymin if self.ymin else np.nanmin(self.y) |
|
825 | self.ymin = self.ymin if self.ymin else np.nanmin(self.y) | |
| 799 | self.ymax = self.ymax if self.ymax else np.nanmax(self.y) |
|
826 | self.ymax = self.ymax if self.ymax else np.nanmax(self.y) | |
| 800 | self.zmax = self.zmax if self.zmax else numpy.nanmax(abs(self.z[:-1, :])) |
|
827 | self.zmax = self.zmax if self.zmax else numpy.nanmax(abs(self.z[:-1, :])) | |
| 801 | self.zmin = self.zmin if self.zmin else -self.zmax |
|
828 | self.zmin = self.zmin if self.zmin else -self.zmax | |
| 802 |
|
829 | |||
| 803 | plot = ax.pcolormesh(x, y, z[n].T*self.windFactor[n], |
|
830 | plot = ax.pcolormesh(x, y, z[n].T*self.windFactor[n], | |
| 804 | vmin=self.zmin, |
|
831 | vmin=self.zmin, | |
| 805 | vmax=self.zmax, |
|
832 | vmax=self.zmax, | |
| 806 | cmap=cmap |
|
833 | cmap=cmap | |
| 807 | ) |
|
834 | ) | |
| 808 | divider = make_axes_locatable(ax) |
|
835 | divider = make_axes_locatable(ax) | |
| 809 | cax = divider.new_horizontal(size='2%', pad=0.05) |
|
836 | cax = divider.new_horizontal(size='2%', pad=0.05) | |
| 810 | self.figure.add_axes(cax) |
|
837 | self.figure.add_axes(cax) | |
| 811 | cb = plt.colorbar(plot, cax) |
|
838 | cb = plt.colorbar(plot, cax) | |
| 812 | cb.set_label(self.clabels[n]) |
|
839 | cb.set_label(self.clabels[n]) | |
| 813 | ax.set_ylim(self.ymin, self.ymax) |
|
840 | ax.set_ylim(self.ymin, self.ymax) | |
| 814 |
|
841 | |||
| 815 | ax.xaxis.set_major_formatter(FuncFormatter(func)) |
|
842 | ax.xaxis.set_major_formatter(FuncFormatter(func)) | |
| 816 | ax.xaxis.set_major_locator(LinearLocator(6)) |
|
843 | ax.xaxis.set_major_locator(LinearLocator(6)) | |
| 817 |
|
844 | |||
| 818 | ax.set_ylabel(self.ylabel) |
|
845 | ax.set_ylabel(self.ylabel) | |
| 819 |
|
846 | |||
| 820 | ax.set_xlim(xmin, xmax) |
|
847 | ax.set_xlim(xmin, xmax) | |
| 821 | ax.firsttime = False |
|
848 | ax.firsttime = False | |
| 822 | else: |
|
849 | else: | |
| 823 | ax.collections.remove(ax.collections[0]) |
|
850 | ax.collections.remove(ax.collections[0]) | |
| 824 | ax.set_xlim(xmin, xmax) |
|
851 | ax.set_xlim(xmin, xmax) | |
| 825 | plot = ax.pcolormesh(x, y, z[n].T*self.windFactor[n], |
|
852 | plot = ax.pcolormesh(x, y, z[n].T*self.windFactor[n], | |
| 826 | vmin=self.zmin, |
|
853 | vmin=self.zmin, | |
| 827 | vmax=self.zmax, |
|
854 | vmax=self.zmax, | |
| 828 | cmap=plt.get_cmap(self.colormap) |
|
855 | cmap=plt.get_cmap(self.colormap) | |
| 829 | ) |
|
856 | ) | |
| 830 | ax.set_title('{} {}'.format(self.titles[n], |
|
857 | ax.set_title('{} {}'.format(self.titles[n], | |
| 831 | datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')), |
|
858 | datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')), | |
| 832 | size=8) |
|
859 | size=8) | |
| 833 |
|
860 | |||
| 834 | self.saveTime = self.min_time |
|
861 | self.saveTime = self.min_time | |
| 835 |
|
862 | |||
| 836 |
|
863 | |||
| 837 | class PlotSNRData(PlotRTIData): |
|
864 | class PlotSNRData(PlotRTIData): | |
| 838 | CODE = 'snr' |
|
865 | CODE = 'snr' | |
| 839 | colormap = 'jet' |
|
866 | colormap = 'jet' | |
| 840 |
|
867 | |||
| 841 | class PlotDOPData(PlotRTIData): |
|
868 | class PlotDOPData(PlotRTIData): | |
| 842 | CODE = 'dop' |
|
869 | CODE = 'dop' | |
| 843 | colormap = 'jet' |
|
870 | colormap = 'jet' | |
| 844 |
|
871 | |||
| 845 |
|
872 | |||
| 846 | class PlotPHASEData(PlotCOHData): |
|
873 | class PlotPHASEData(PlotCOHData): | |
| 847 | CODE = 'phase' |
|
874 | CODE = 'phase' | |
| 848 | colormap = 'seismic' |
|
875 | colormap = 'seismic' | |
| 849 |
|
876 | |||
| 850 |
|
877 | |||
| 851 | class PlotSkyMapData(PlotData): |
|
878 | class PlotSkyMapData(PlotData): | |
| 852 |
|
879 | |||
| 853 | CODE = 'met' |
|
880 | CODE = 'met' | |
| 854 |
|
881 | |||
| 855 | def setup(self): |
|
882 | def setup(self): | |
| 856 |
|
883 | |||
| 857 | self.ncols = 1 |
|
884 | self.ncols = 1 | |
| 858 | self.nrows = 1 |
|
885 | self.nrows = 1 | |
| 859 | self.width = 7.2 |
|
886 | self.width = 7.2 | |
| 860 | self.height = 7.2 |
|
887 | self.height = 7.2 | |
| 861 |
|
888 | |||
| 862 | self.xlabel = 'Zonal Zenith Angle (deg)' |
|
889 | self.xlabel = 'Zonal Zenith Angle (deg)' | |
| 863 | self.ylabel = 'Meridional Zenith Angle (deg)' |
|
890 | self.ylabel = 'Meridional Zenith Angle (deg)' | |
| 864 |
|
891 | |||
| 865 | if self.figure is None: |
|
892 | if self.figure is None: | |
| 866 | self.figure = plt.figure(figsize=(self.width, self.height), |
|
893 | self.figure = plt.figure(figsize=(self.width, self.height), | |
| 867 | edgecolor='k', |
|
894 | edgecolor='k', | |
| 868 | facecolor='w') |
|
895 | facecolor='w') | |
| 869 | else: |
|
896 | else: | |
| 870 | self.figure.clf() |
|
897 | self.figure.clf() | |
| 871 |
|
898 | |||
| 872 | self.ax = plt.subplot2grid((self.nrows, self.ncols), (0, 0), 1, 1, polar=True) |
|
899 | self.ax = plt.subplot2grid((self.nrows, self.ncols), (0, 0), 1, 1, polar=True) | |
| 873 | self.ax.firsttime = True |
|
900 | self.ax.firsttime = True | |
| 874 |
|
901 | |||
| 875 |
|
902 | |||
| 876 | def plot(self): |
|
903 | def plot(self): | |
| 877 |
|
904 | |||
| 878 | arrayParameters = np.concatenate([self.data['param'][t] for t in self.times]) |
|
905 | arrayParameters = np.concatenate([self.data['param'][t] for t in self.times]) | |
| 879 | error = arrayParameters[:,-1] |
|
906 | error = arrayParameters[:,-1] | |
| 880 | indValid = numpy.where(error == 0)[0] |
|
907 | indValid = numpy.where(error == 0)[0] | |
| 881 | finalMeteor = arrayParameters[indValid,:] |
|
908 | finalMeteor = arrayParameters[indValid,:] | |
| 882 | finalAzimuth = finalMeteor[:,3] |
|
909 | finalAzimuth = finalMeteor[:,3] | |
| 883 | finalZenith = finalMeteor[:,4] |
|
910 | finalZenith = finalMeteor[:,4] | |
| 884 |
|
911 | |||
| 885 | x = finalAzimuth*numpy.pi/180 |
|
912 | x = finalAzimuth*numpy.pi/180 | |
| 886 | y = finalZenith |
|
913 | y = finalZenith | |
| 887 |
|
914 | |||
| 888 | if self.ax.firsttime: |
|
915 | if self.ax.firsttime: | |
| 889 | self.ax.plot = self.ax.plot(x, y, 'bo', markersize=5)[0] |
|
916 | self.ax.plot = self.ax.plot(x, y, 'bo', markersize=5)[0] | |
| 890 | self.ax.set_ylim(0,90) |
|
917 | self.ax.set_ylim(0,90) | |
| 891 | self.ax.set_yticks(numpy.arange(0,90,20)) |
|
918 | self.ax.set_yticks(numpy.arange(0,90,20)) | |
| 892 | self.ax.set_xlabel(self.xlabel) |
|
919 | self.ax.set_xlabel(self.xlabel) | |
| 893 | self.ax.set_ylabel(self.ylabel) |
|
920 | self.ax.set_ylabel(self.ylabel) | |
| 894 | self.ax.yaxis.labelpad = 40 |
|
921 | self.ax.yaxis.labelpad = 40 | |
| 895 | self.ax.firsttime = False |
|
922 | self.ax.firsttime = False | |
| 896 | else: |
|
923 | else: | |
| 897 | self.ax.plot.set_data(x, y) |
|
924 | self.ax.plot.set_data(x, y) | |
| 898 |
|
925 | |||
| 899 |
|
926 | |||
| 900 | dt1 = datetime.datetime.fromtimestamp(self.min_time).strftime('%y/%m/%d %H:%M:%S') |
|
927 | dt1 = datetime.datetime.fromtimestamp(self.min_time).strftime('%y/%m/%d %H:%M:%S') | |
| 901 | dt2 = datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S') |
|
928 | dt2 = datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S') | |
| 902 | title = 'Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n' % (dt1, |
|
929 | title = 'Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n' % (dt1, | |
| 903 | dt2, |
|
930 | dt2, | |
| 904 | len(x)) |
|
931 | len(x)) | |
| 905 | self.ax.set_title(title, size=8) |
|
932 | self.ax.set_title(title, size=8) | |
| 906 |
|
933 | |||
| 907 | self.saveTime = self.max_time |
|
934 | self.saveTime = self.max_time | |
| @@ -1,1 +1,1 | |||||
| 1 |
<Project description="HF_EXAMPLE" id="191" name="test01"><ReadUnit datatype="SpectraReader" id="1911" inputId="0" name="SpectraReader"><Operation id="19111" name="run" priority="1" type="self"><Parameter format="str" id="191111" name="datatype" value="SpectraReader" /><Parameter format="str" id="191112" name="path" value="/media/ci-81/Huancayo/DATA/hfradar_2016/pdata/sp1_f1" /><Parameter format="date" id="191113" name="startDate" value="2016/04/2 |
|
1 | <Project description="HF_EXAMPLE" id="191" name="test01"><ReadUnit datatype="SpectraReader" id="1911" inputId="0" name="SpectraReader"><Operation id="19111" name="run" priority="1" type="self"><Parameter format="str" id="191111" name="datatype" value="SpectraReader" /><Parameter format="str" id="191112" name="path" value="/media/ci-81/Huancayo/DATA/hfradar_2016/pdata/sp1_f1" /><Parameter format="date" id="191113" name="startDate" value="2016/04/24" /><Parameter format="date" id="191114" name="endDate" value="2016/04/24" /><Parameter format="time" id="191115" name="startTime" value="00:00:00" /><Parameter format="time" id="191116" name="endTime" value="23:59:59" /><Parameter format="int" id="191118" name="cursor" value="8" /><Parameter format="int" id="191119" name="skip" value="18" /><Parameter format="int" id="191120" name="delay" value="10" /><Parameter format="int" id="191121" name="walk" value="1" /><Parameter format="int" id="191122" name="online" value="0" /></Operation></ReadUnit><ProcUnit datatype="ParametersProc" id="1913" inputId="1911" name="ParametersProc"><Operation id="19131" name="run" priority="1" type="self" /><Operation id="19132" name="SpectralMoments" priority="2" type="other" /><Operation id="19133" name="PublishData" priority="3" type="other"><Parameter format="int" id="191331" name="zeromq" value="1" /></Operation></ProcUnit><ProcUnit datatype="Spectra" id="1912" inputId="1911" name="SpectraProc"><Operation id="19121" name="run" priority="1" type="self" /><Operation id="19122" name="removeInterference" priority="2" type="self" /></ProcUnit></Project> No newline at end of file | |
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