##// END OF EJS Templates
schain-jc
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Se agrega parametro de entrada 'show', por defecto (True) muestra la figuras, caso contrario (False) matplotlib no muestra la figuras
Daniel Valdez -
r342:de907111a31d
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@@ -1,496 +1,497
1 1 import os
2 2 import numpy
3 3 import time, datetime
4 4 import mpldriver
5 5 from customftp import *
6 6
7 7 class Figure:
8 8
9 9 __driver = mpldriver
10 10 fig = None
11 11
12 12 idfigure = None
13 13 wintitle = None
14 14 width = None
15 15 height = None
16 16 nplots = None
17 17 timerange = None
18 18
19 19 axesObjList = []
20 20
21 21 WIDTH = None
22 22 HEIGHT = None
23 23 PREFIX = 'fig'
24 24
25 25 def __init__(self):
26 26
27 27 raise ValueError, "This method is not implemented"
28 28
29 29 def __del__(self):
30 30
31 31 self.__driver.closeFigure()
32 32
33 33 def getFilename(self, name, ext='.png'):
34 34
35 35 path = '%s%03d' %(self.PREFIX, self.idfigure)
36 36 filename = '%s_%s%s' %(self.PREFIX, name, ext)
37 37
38 38 return os.path.join(path, filename)
39 39
40 40 def getAxesObjList(self):
41 41
42 42 return self.axesObjList
43 43
44 44 def getSubplots(self):
45 45
46 46 raise ValueError, "Abstract method: This method should be defined"
47 47
48 48 def getScreenDim(self, widthplot, heightplot):
49 49
50 50 nrow, ncol = self.getSubplots()
51 51
52 52 widthscreen = widthplot*ncol
53 53 heightscreen = heightplot*nrow
54 54
55 55 return widthscreen, heightscreen
56 56
57 57 def getTimeLim(self, x, xmin, xmax):
58 58
59 59 thisdatetime = datetime.datetime.utcfromtimestamp(numpy.min(x))
60 60 thisdate = datetime.datetime.combine(thisdatetime.date(), datetime.time(0,0,0))
61 61
62 62 ####################################################
63 63 #If the x is out of xrange
64 64 if xmax < (thisdatetime - thisdate).seconds/(60*60.):
65 65 xmin = None
66 66 xmax = None
67 67
68 68 if xmin == None:
69 69 td = thisdatetime - thisdate
70 70 xmin = td.seconds/(60*60.)
71 71
72 72 if xmax == None:
73 73 xmax = xmin + self.timerange/(60*60.)
74 74
75 75 mindt = thisdate + datetime.timedelta(hours=xmin) - datetime.timedelta(seconds=time.timezone)
76 76 tmin = time.mktime(mindt.timetuple())
77 77
78 78 maxdt = thisdate + datetime.timedelta(hours=xmax) - datetime.timedelta(seconds=time.timezone)
79 79 tmax = time.mktime(maxdt.timetuple())
80 80
81 81 self.timerange = tmax - tmin
82 82
83 83 return tmin, tmax
84 84
85 85 def init(self, idfigure, nplots, wintitle):
86 86
87 87 raise ValueError, "This method has been replaced with createFigure"
88 88
89 def createFigure(self, idfigure, wintitle, widthplot=None, heightplot=None):
89 def createFigure(self, idfigure, wintitle, widthplot=None, heightplot=None, show=True):
90 90
91 91 """
92 92 Crea la figura de acuerdo al driver y parametros seleccionados seleccionados.
93 93 Las dimensiones de la pantalla es calculada a partir de los atributos self.WIDTH
94 94 y self.HEIGHT y el numero de subplots (nrow, ncol)
95 95
96 96 Input:
97 97 idfigure : Los parametros necesarios son
98 98 wintitle :
99 99
100 100 """
101 101
102 102 if widthplot == None:
103 103 widthplot = self.WIDTH
104 104
105 105 if heightplot == None:
106 106 heightplot = self.HEIGHT
107 107
108 108 self.idfigure = idfigure
109 109
110 110 self.wintitle = wintitle
111 111
112 112 self.widthscreen, self.heightscreen = self.getScreenDim(widthplot, heightplot)
113 113
114 self.fig = self.__driver.createFigure(self.idfigure,
115 self.wintitle,
116 self.widthscreen,
117 self.heightscreen)
114 self.fig = self.__driver.createFigure(idfigure=self.idfigure,
115 wintitle=self.wintitle,
116 width=self.widthscreen,
117 height=self.heightscreen,
118 show=show)
118 119
119 120 self.axesObjList = []
120 121
121 122
122 123 def setDriver(self, driver=mpldriver):
123 124
124 125 self.__driver = driver
125 126
126 127 def setTitle(self, title):
127 128
128 129 self.__driver.setTitle(self.fig, title)
129 130
130 131 def setWinTitle(self, title):
131 132
132 133 self.__driver.setWinTitle(self.fig, title=title)
133 134
134 135 def setTextFromAxes(self, text):
135 136
136 137 raise ValueError, "Este metodo ha sido reemplazaado con el metodo setText de la clase Axes"
137 138
138 139 def makeAxes(self, nrow, ncol, xpos, ypos, colspan, rowspan):
139 140
140 141 raise ValueError, "Este metodo ha sido reemplazaado con el metodo addAxes"
141 142
142 143 def addAxes(self, *args):
143 144 """
144 145
145 146 Input:
146 147 *args : Los parametros necesarios son
147 148 nrow, ncol, xpos, ypos, colspan, rowspan
148 149 """
149 150
150 151 axesObj = Axes(self.fig, *args)
151 152 self.axesObjList.append(axesObj)
152 153
153 154 def saveFigure(self, figpath, figfile, *args):
154 155
155 156 filename = os.path.join(figpath, figfile)
156 157
157 158 fullpath = os.path.split(filename)[0]
158 159
159 160 if not os.path.exists(fullpath):
160 161 subpath = os.path.split(fullpath)[0]
161 162
162 163 if not os.path.exists(subpath):
163 164 os.mkdir(subpath)
164 165
165 166 os.mkdir(fullpath)
166 167
167 168 self.__driver.saveFigure(self.fig, filename, *args)
168 169
169 170 def sendByFTP(self, figfilename):
170 171 ftpObj = Ftp()
171 172 ftpObj.upload(figfilename)
172 173 ftpObj.close()
173 174
174 175 def draw(self):
175 176
176 177 self.__driver.draw(self.fig)
177 178
178 179 def run(self):
179 180
180 181 raise ValueError, "This method is not implemented"
181 182
182 183 axesList = property(getAxesObjList)
183 184
184 185
185 186 class Axes:
186 187
187 188 __driver = mpldriver
188 189 fig = None
189 190 ax = None
190 191 plot = None
191 192 __missing = 1E30
192 193 __firsttime = None
193 194
194 195 __showprofile = False
195 196
196 197 xmin = None
197 198 xmax = None
198 199 ymin = None
199 200 ymax = None
200 201 zmin = None
201 202 zmax = None
202 203
203 204 x_buffer = None
204 205 z_buffer = None
205 206
206 207 def __init__(self, *args):
207 208
208 209 """
209 210
210 211 Input:
211 212 *args : Los parametros necesarios son
212 213 fig, nrow, ncol, xpos, ypos, colspan, rowspan
213 214 """
214 215
215 216 ax = self.__driver.createAxes(*args)
216 217 self.fig = args[0]
217 218 self.ax = ax
218 219 self.plot = None
219 220
220 221 self.__firsttime = True
221 222 self.idlineList = []
222 223
223 224 self.x_buffer = numpy.array([])
224 225 self.z_buffer = numpy.array([])
225 226
226 227 def setText(self, text):
227 228
228 229 self.__driver.setAxesText(self.ax, text)
229 230
230 231 def setXAxisAsTime(self):
231 232 pass
232 233
233 234 def pline(self, x, y,
234 235 xmin=None, xmax=None,
235 236 ymin=None, ymax=None,
236 237 xlabel='', ylabel='',
237 238 title='',
238 239 **kwargs):
239 240
240 241 """
241 242
242 243 Input:
243 244 x :
244 245 y :
245 246 xmin :
246 247 xmax :
247 248 ymin :
248 249 ymax :
249 250 xlabel :
250 251 ylabel :
251 252 title :
252 253 **kwargs : Los parametros aceptados son
253 254
254 255 ticksize
255 256 ytick_visible
256 257 """
257 258
258 259 if self.__firsttime:
259 260
260 261 if xmin == None: xmin = numpy.nanmin(x)
261 262 if xmax == None: xmax = numpy.nanmax(x)
262 263 if ymin == None: ymin = numpy.nanmin(y)
263 264 if ymax == None: ymax = numpy.nanmax(y)
264 265
265 266 self.plot = self.__driver.createPline(self.ax, x, y,
266 267 xmin, xmax,
267 268 ymin, ymax,
268 269 xlabel=xlabel,
269 270 ylabel=ylabel,
270 271 title=title,
271 272 **kwargs)
272 273
273 274 self.idlineList.append(0)
274 275 self.__firsttime = False
275 276 return
276 277
277 278 self.__driver.pline(self.plot, x, y, xlabel=xlabel,
278 279 ylabel=ylabel,
279 280 title=title)
280 281
281 282 def addpline(self, x, y, idline, **kwargs):
282 283 lines = self.ax.lines
283 284
284 285 if idline in self.idlineList:
285 286 self.__driver.set_linedata(self.ax, x, y, idline)
286 287
287 288 if idline not in(self.idlineList):
288 289 self.__driver.addpline(self.ax, x, y, **kwargs)
289 290 self.idlineList.append(idline)
290 291
291 292 return
292 293
293 294 def pmultiline(self, x, y,
294 295 xmin=None, xmax=None,
295 296 ymin=None, ymax=None,
296 297 xlabel='', ylabel='',
297 298 title='',
298 299 **kwargs):
299 300
300 301 if self.__firsttime:
301 302
302 303 if xmin == None: xmin = numpy.nanmin(x)
303 304 if xmax == None: xmax = numpy.nanmax(x)
304 305 if ymin == None: ymin = numpy.nanmin(y)
305 306 if ymax == None: ymax = numpy.nanmax(y)
306 307
307 308 self.plot = self.__driver.createPmultiline(self.ax, x, y,
308 309 xmin, xmax,
309 310 ymin, ymax,
310 311 xlabel=xlabel,
311 312 ylabel=ylabel,
312 313 title=title,
313 314 **kwargs)
314 315 self.__firsttime = False
315 316 return
316 317
317 318 self.__driver.pmultiline(self.plot, x, y, xlabel=xlabel,
318 319 ylabel=ylabel,
319 320 title=title)
320 321
321 322 def pmultilineyaxis(self, x, y,
322 323 xmin=None, xmax=None,
323 324 ymin=None, ymax=None,
324 325 xlabel='', ylabel='',
325 326 title='',
326 327 **kwargs):
327 328
328 329 if self.__firsttime:
329 330
330 331 if xmin == None: xmin = numpy.nanmin(x)
331 332 if xmax == None: xmax = numpy.nanmax(x)
332 333 if ymin == None: ymin = numpy.nanmin(y)
333 334 if ymax == None: ymax = numpy.nanmax(y)
334 335
335 336 self.plot = self.__driver.createPmultilineYAxis(self.ax, x, y,
336 337 xmin, xmax,
337 338 ymin, ymax,
338 339 xlabel=xlabel,
339 340 ylabel=ylabel,
340 341 title=title,
341 342 **kwargs)
342 343 if self.xmin == None: self.xmin = xmin
343 344 if self.xmax == None: self.xmax = xmax
344 345 if self.ymin == None: self.ymin = ymin
345 346 if self.ymax == None: self.ymax = ymax
346 347
347 348 self.__firsttime = False
348 349 return
349 350
350 351 self.__driver.pmultilineyaxis(self.plot, x, y, xlabel=xlabel,
351 352 ylabel=ylabel,
352 353 title=title)
353 354
354 355 def pcolor(self, x, y, z,
355 356 xmin=None, xmax=None,
356 357 ymin=None, ymax=None,
357 358 zmin=None, zmax=None,
358 359 xlabel='', ylabel='',
359 360 title='', rti = False, colormap='jet',
360 361 **kwargs):
361 362
362 363 """
363 364 Input:
364 365 x :
365 366 y :
366 367 x :
367 368 xmin :
368 369 xmax :
369 370 ymin :
370 371 ymax :
371 372 zmin :
372 373 zmax :
373 374 xlabel :
374 375 ylabel :
375 376 title :
376 377 **kwargs : Los parametros aceptados son
377 378 ticksize=9,
378 379 cblabel=''
379 380 rti = True or False
380 381 """
381 382
382 383 if self.__firsttime:
383 384
384 385 if xmin == None: xmin = numpy.nanmin(x)
385 386 if xmax == None: xmax = numpy.nanmax(x)
386 387 if ymin == None: ymin = numpy.nanmin(y)
387 388 if ymax == None: ymax = numpy.nanmax(y)
388 389 if zmin == None: zmin = numpy.nanmin(z)
389 390 if zmax == None: zmax = numpy.nanmax(z)
390 391
391 392
392 393 self.plot = self.__driver.createPcolor(self.ax, x, y, z,
393 394 xmin, xmax,
394 395 ymin, ymax,
395 396 zmin, zmax,
396 397 xlabel=xlabel,
397 398 ylabel=ylabel,
398 399 title=title,
399 400 colormap=colormap,
400 401 **kwargs)
401 402
402 403 if self.xmin == None: self.xmin = xmin
403 404 if self.xmax == None: self.xmax = xmax
404 405 if self.ymin == None: self.ymin = ymin
405 406 if self.ymax == None: self.ymax = ymax
406 407 if self.zmin == None: self.zmin = zmin
407 408 if self.zmax == None: self.zmax = zmax
408 409
409 410 self.__firsttime = False
410 411 return
411 412
412 413 if rti:
413 414 self.__driver.addpcolor(self.ax, x, y, z, self.zmin, self.zmax,
414 415 xlabel=xlabel,
415 416 ylabel=ylabel,
416 417 title=title,
417 418 colormap=colormap)
418 419 return
419 420
420 421 self.__driver.pcolor(self.plot, z,
421 422 xlabel=xlabel,
422 423 ylabel=ylabel,
423 424 title=title)
424 425
425 426 def pcolorbuffer(self, x, y, z,
426 427 xmin=None, xmax=None,
427 428 ymin=None, ymax=None,
428 429 zmin=None, zmax=None,
429 430 xlabel='', ylabel='',
430 431 title='', rti = False, colormap='jet',
431 432 **kwargs):
432 433
433 434
434 435 if self.__firsttime:
435 436 self.z_buffer = z
436 437 self.x_buffer = numpy.hstack((self.x_buffer, x))
437 438
438 439 if xmin == None: xmin = numpy.nanmin(x)
439 440 if xmax == None: xmax = numpy.nanmax(x)
440 441 if ymin == None: ymin = numpy.nanmin(y)
441 442 if ymax == None: ymax = numpy.nanmax(y)
442 443 if zmin == None: zmin = numpy.nanmin(z)
443 444 if zmax == None: zmax = numpy.nanmax(z)
444 445
445 446
446 447 self.plot = self.__driver.createPcolor(self.ax, self.x_buffer, y, z,
447 448 xmin, xmax,
448 449 ymin, ymax,
449 450 zmin, zmax,
450 451 xlabel=xlabel,
451 452 ylabel=ylabel,
452 453 title=title,
453 454 colormap=colormap,
454 455 **kwargs)
455 456
456 457 if self.xmin == None: self.xmin = xmin
457 458 if self.xmax == None: self.xmax = xmax
458 459 if self.ymin == None: self.ymin = ymin
459 460 if self.ymax == None: self.ymax = ymax
460 461 if self.zmin == None: self.zmin = zmin
461 462 if self.zmax == None: self.zmax = zmax
462 463
463 464 self.__firsttime = False
464 465 return
465 466
466 467 if rti:
467 468 if x[0]>self.x_buffer[-1]:
468 469 gap = z.copy()
469 470 gap[:] = self.__missing
470 471 self.z_buffer = numpy.hstack((self.z_buffer, gap))
471 472 self.z_buffer = numpy.ma.masked_inside(self.z_buffer,0.99*self.__missing,1.01*self.__missing)
472 473 self.x_buffer = numpy.hstack((self.x_buffer, x))
473 474
474 475 else:
475 476 self.x_buffer = numpy.hstack((self.x_buffer, x[-1]))
476 477
477 478 self.z_buffer = numpy.hstack((self.z_buffer, z))
478 479
479 480 newydim = len(y)
480 481
481 482 # self.z_buffer = numpy.ma.masked_inside(self.z_buffer,0.99*self.__missing,1.01*self.__missing)
482 483
483 484 z_buffer = self.z_buffer.reshape(-1,newydim)
484 485
485 486 self.__driver.addpcolorbuffer(self.ax, self.x_buffer, y, z_buffer, self.zmin, self.zmax,
486 487 xlabel=xlabel,
487 488 ylabel=ylabel,
488 489 title=title,
489 490 colormap=colormap)
490 491 return
491 492
492 493 self.__driver.pcolor(self.plot, z,
493 494 xlabel=xlabel,
494 495 ylabel=ylabel,
495 496 title=title)
496 497 No newline at end of file
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@@ -1,380 +1,382
1 1 import numpy
2 2 import datetime
3 3 import sys
4 4 import matplotlib
5 5
6 6 if 'linux' in sys.platform:
7 7 matplotlib.use("TKAgg")
8 8
9 9 if 'darwin' in sys.platform:
10 10 matplotlib.use("TKAgg")
11 11
12 12 import matplotlib.pyplot
13 13
14 14 from mpl_toolkits.axes_grid1 import make_axes_locatable
15 15 from matplotlib.ticker import *
16 16
17 17 ###########################################
18 18 #Actualizacion de las funciones del driver
19 19 ###########################################
20 20
21 def createFigure(idfigure, wintitle, width, height, facecolor="w"):
21 def createFigure(idfigure, wintitle, width, height, facecolor="w", show=True):
22 22
23 23 matplotlib.pyplot.ioff()
24 24 fig = matplotlib.pyplot.figure(num=idfigure, facecolor=facecolor)
25 25 fig.canvas.manager.set_window_title(wintitle)
26 26 fig.canvas.manager.resize(width, height)
27 27 matplotlib.pyplot.ion()
28 if show:
28 29 matplotlib.pyplot.show()
29 30
30 31 return fig
31 32
32 def closeFigure():
33 def closeFigure(show=True):
33 34
34 35 matplotlib.pyplot.ioff()
36 if show:
35 37 matplotlib.pyplot.show()
36 38
37 39 return
38 40
39 41 def saveFigure(fig, filename):
40 42
41 43 matplotlib.pyplot.ioff()
42 44 fig.savefig(filename)
43 45 matplotlib.pyplot.ion()
44 46
45 47 def setWinTitle(fig, title):
46 48
47 49 fig.canvas.manager.set_window_title(title)
48 50
49 51 def setTitle(fig, title):
50 52
51 53 fig.suptitle(title)
52 54
53 55 def createAxes(fig, nrow, ncol, xpos, ypos, colspan, rowspan):
54 56
55 57 matplotlib.pyplot.ioff()
56 58 matplotlib.pyplot.figure(fig.number)
57 59 axes = matplotlib.pyplot.subplot2grid((nrow, ncol),
58 60 (xpos, ypos),
59 61 colspan=colspan,
60 62 rowspan=rowspan)
61 63
62 64 matplotlib.pyplot.ion()
63 65 return axes
64 66
65 67 def setAxesText(ax, text):
66 68
67 69 ax.annotate(text,
68 70 xy = (.1, .99),
69 71 xycoords = 'figure fraction',
70 72 horizontalalignment = 'left',
71 73 verticalalignment = 'top',
72 74 fontsize = 10)
73 75
74 76 def printLabels(ax, xlabel, ylabel, title):
75 77
76 78 ax.set_xlabel(xlabel, size=11)
77 79 ax.set_ylabel(ylabel, size=11)
78 80 ax.set_title(title, size=12)
79 81
80 82 def createPline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='',
81 83 ticksize=9, xtick_visible=True, ytick_visible=True,
82 84 nxticks=4, nyticks=10,
83 85 grid=None):
84 86
85 87 """
86 88
87 89 Input:
88 90 grid : None, 'both', 'x', 'y'
89 91 """
90 92
91 93 matplotlib.pyplot.ioff()
92 94
93 95 ax.set_xlim([xmin,xmax])
94 96 ax.set_ylim([ymin,ymax])
95 97
96 98 printLabels(ax, xlabel, ylabel, title)
97 99
98 100 ######################################################
99 101 # if (xmax-xmin)<=1:
100 102 # xtickspos = numpy.linspace(xmin,xmax,nxticks)
101 103 # xtickspos = numpy.array([float("%.1f"%i) for i in xtickspos])
102 104 # ax.set_xticks(xtickspos)
103 105 # else:
104 106 # xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin)
105 107 # ax.set_xticks(xtickspos)
106 108 #
107 109 # for tick in ax.get_xticklabels():
108 110 # tick.set_visible(xtick_visible)
109 111 #
110 112 # for tick in ax.xaxis.get_major_ticks():
111 113 # tick.label.set_fontsize(ticksize)
112 114
113 115 ######################################################
114 116 for tick in ax.get_yticklabels():
115 117 tick.set_visible(ytick_visible)
116 118
117 119 for tick in ax.yaxis.get_major_ticks():
118 120 tick.label.set_fontsize(ticksize)
119 121
120 122 ax.plot(x, y)
121 123 iplot = ax.lines[-1]
122 124
123 125 ######################################################
124 126 if '0.' in matplotlib.__version__[0:2]:
125 127 print "The matplotlib version has to be updated to 1.1 or newer"
126 128 return iplot
127 129
128 130 if '1.0.' in matplotlib.__version__[0:4]:
129 131 print "The matplotlib version has to be updated to 1.1 or newer"
130 132 return iplot
131 133
132 134 if grid != None:
133 135 ax.grid(b=True, which='major', axis=grid)
134 136
135 137 matplotlib.pyplot.tight_layout()
136 138
137 139 matplotlib.pyplot.ion()
138 140
139 141 return iplot
140 142
141 143 def set_linedata(ax, x, y, idline):
142 144
143 145 ax.lines[idline].set_data(x,y)
144 146
145 147 def pline(iplot, x, y, xlabel='', ylabel='', title=''):
146 148
147 149 ax = iplot.get_axes()
148 150
149 151 printLabels(ax, xlabel, ylabel, title)
150 152
151 153 set_linedata(ax, x, y, idline=0)
152 154
153 155 def addpline(ax, x, y, color, linestyle, lw):
154 156
155 157 ax.plot(x,y,color=color,linestyle=linestyle,lw=lw)
156 158
157 159
158 160 def createPcolor(ax, x, y, z, xmin, xmax, ymin, ymax, zmin, zmax,
159 161 xlabel='', ylabel='', title='', ticksize = 9,
160 162 colormap='jet',cblabel='', cbsize="5%",
161 163 XAxisAsTime=False):
162 164
163 165 matplotlib.pyplot.ioff()
164 166
165 167 divider = make_axes_locatable(ax)
166 168 ax_cb = divider.new_horizontal(size=cbsize, pad=0.05)
167 169 fig = ax.get_figure()
168 170 fig.add_axes(ax_cb)
169 171
170 172 ax.set_xlim([xmin,xmax])
171 173 ax.set_ylim([ymin,ymax])
172 174
173 175 printLabels(ax, xlabel, ylabel, title)
174 176
175 177 imesh = ax.pcolormesh(x,y,z.T, vmin=zmin, vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap))
176 178 cb = matplotlib.pyplot.colorbar(imesh, cax=ax_cb)
177 179 cb.set_label(cblabel)
178 180
179 181 # for tl in ax_cb.get_yticklabels():
180 182 # tl.set_visible(True)
181 183
182 184 for tick in ax.yaxis.get_major_ticks():
183 185 tick.label.set_fontsize(ticksize)
184 186
185 187 for tick in ax.xaxis.get_major_ticks():
186 188 tick.label.set_fontsize(ticksize)
187 189
188 190 for tick in cb.ax.get_yticklabels():
189 191 tick.set_fontsize(ticksize)
190 192
191 193 ax_cb.yaxis.tick_right()
192 194
193 195 if '0.' in matplotlib.__version__[0:2]:
194 196 print "The matplotlib version has to be updated to 1.1 or newer"
195 197 return imesh
196 198
197 199 if '1.0.' in matplotlib.__version__[0:4]:
198 200 print "The matplotlib version has to be updated to 1.1 or newer"
199 201 return imesh
200 202
201 203 matplotlib.pyplot.tight_layout()
202 204
203 205 if XAxisAsTime:
204 206
205 207 func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S"))
206 208 ax.xaxis.set_major_formatter(FuncFormatter(func))
207 209 ax.xaxis.set_major_locator(LinearLocator(7))
208 210
209 211 matplotlib.pyplot.ion()
210 212 return imesh
211 213
212 214 def pcolor(imesh, z, xlabel='', ylabel='', title=''):
213 215
214 216 z = z.T
215 217
216 218 ax = imesh.get_axes()
217 219
218 220 printLabels(ax, xlabel, ylabel, title)
219 221
220 222 imesh.set_array(z.ravel())
221 223
222 224 def addpcolor(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'):
223 225
224 226 printLabels(ax, xlabel, ylabel, title)
225 227
226 228 ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap))
227 229
228 230 def addpcolorbuffer(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'):
229 231
230 232 printLabels(ax, xlabel, ylabel, title)
231 233
232 234 ax.collections.remove(ax.collections[0])
233 235
234 236 ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap))
235 237
236 238 def createPmultiline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None,
237 239 ticksize=9, xtick_visible=True, ytick_visible=True,
238 240 nxticks=4, nyticks=10,
239 241 grid=None):
240 242
241 243 """
242 244
243 245 Input:
244 246 grid : None, 'both', 'x', 'y'
245 247 """
246 248
247 249 matplotlib.pyplot.ioff()
248 250
249 251 lines = ax.plot(x.T, y)
250 252 leg = ax.legend(lines, legendlabels, loc='upper right')
251 253 leg.get_frame().set_alpha(0.5)
252 254 ax.set_xlim([xmin,xmax])
253 255 ax.set_ylim([ymin,ymax])
254 256 printLabels(ax, xlabel, ylabel, title)
255 257
256 258 xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin)
257 259 ax.set_xticks(xtickspos)
258 260
259 261 for tick in ax.get_xticklabels():
260 262 tick.set_visible(xtick_visible)
261 263
262 264 for tick in ax.xaxis.get_major_ticks():
263 265 tick.label.set_fontsize(ticksize)
264 266
265 267 for tick in ax.get_yticklabels():
266 268 tick.set_visible(ytick_visible)
267 269
268 270 for tick in ax.yaxis.get_major_ticks():
269 271 tick.label.set_fontsize(ticksize)
270 272
271 273 iplot = ax.lines[-1]
272 274
273 275 if '0.' in matplotlib.__version__[0:2]:
274 276 print "The matplotlib version has to be updated to 1.1 or newer"
275 277 return iplot
276 278
277 279 if '1.0.' in matplotlib.__version__[0:4]:
278 280 print "The matplotlib version has to be updated to 1.1 or newer"
279 281 return iplot
280 282
281 283 if grid != None:
282 284 ax.grid(b=True, which='major', axis=grid)
283 285
284 286 matplotlib.pyplot.tight_layout()
285 287
286 288 matplotlib.pyplot.ion()
287 289
288 290 return iplot
289 291
290 292
291 293 def pmultiline(iplot, x, y, xlabel='', ylabel='', title=''):
292 294
293 295 ax = iplot.get_axes()
294 296
295 297 printLabels(ax, xlabel, ylabel, title)
296 298
297 299 for i in range(len(ax.lines)):
298 300 line = ax.lines[i]
299 301 line.set_data(x[i,:],y)
300 302
301 303 def createPmultilineYAxis(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None,
302 304 ticksize=9, xtick_visible=True, ytick_visible=True,
303 305 nxticks=4, nyticks=10, marker='+', markersize=8, linestyle="solid",
304 306 grid=None, XAxisAsTime=False):
305 307
306 308 """
307 309
308 310 Input:
309 311 grid : None, 'both', 'x', 'y'
310 312 """
311 313
312 314 matplotlib.pyplot.ioff()
313 315
314 316 # lines = ax.plot(x, y.T, marker=marker,markersize=markersize,linestyle=linestyle)
315 317 lines = ax.plot(x, y.T, 'o', markersize=5)
316 318 leg = ax.legend(lines, legendlabels, loc='upper left', bbox_to_anchor=(1.01, 1.00), numpoints=1, handlelength=1.5, \
317 319 handletextpad=0.5, borderpad=0.5, labelspacing=0.5, borderaxespad=0.)
318 320
319 321 for label in leg.get_texts(): label.set_fontsize(9)
320 322
321 323 ax.set_xlim([xmin,xmax])
322 324 ax.set_ylim([ymin,ymax])
323 325 printLabels(ax, xlabel, ylabel, title)
324 326
325 327 # xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin)
326 328 # ax.set_xticks(xtickspos)
327 329
328 330 for tick in ax.get_xticklabels():
329 331 tick.set_visible(xtick_visible)
330 332
331 333 for tick in ax.xaxis.get_major_ticks():
332 334 tick.label.set_fontsize(ticksize)
333 335
334 336 for tick in ax.get_yticklabels():
335 337 tick.set_visible(ytick_visible)
336 338
337 339 for tick in ax.yaxis.get_major_ticks():
338 340 tick.label.set_fontsize(ticksize)
339 341
340 342 iplot = ax.lines[-1]
341 343
342 344 if '0.' in matplotlib.__version__[0:2]:
343 345 print "The matplotlib version has to be updated to 1.1 or newer"
344 346 return iplot
345 347
346 348 if '1.0.' in matplotlib.__version__[0:4]:
347 349 print "The matplotlib version has to be updated to 1.1 or newer"
348 350 return iplot
349 351
350 352 if grid != None:
351 353 ax.grid(b=True, which='major', axis=grid)
352 354
353 355 matplotlib.pyplot.tight_layout()
354 356
355 357 if XAxisAsTime:
356 358
357 359 func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S"))
358 360 ax.xaxis.set_major_formatter(FuncFormatter(func))
359 361 ax.xaxis.set_major_locator(LinearLocator(7))
360 362
361 363 matplotlib.pyplot.ion()
362 364
363 365 return iplot
364 366
365 367 def pmultilineyaxis(iplot, x, y, xlabel='', ylabel='', title=''):
366 368
367 369 ax = iplot.get_axes()
368 370
369 371 printLabels(ax, xlabel, ylabel, title)
370 372
371 373 for i in range(len(ax.lines)):
372 374 line = ax.lines[i]
373 375 line.set_data(x,y[i,:])
374 376
375 377 def draw(fig):
376 378
377 379 if type(fig) == 'int':
378 380 raise ValueError, "This parameter should be of tpye matplotlib figure"
379 381
380 382 fig.canvas.draw() No newline at end of file
Show file before | Show file after | Hide comments
@@ -1,1323 +1,1343
1 1 import numpy
2 2 import time, datetime, os
3 3 from graphics.figure import *
4 4
5 5 class CrossSpectraPlot(Figure):
6 6
7 7 __isConfig = None
8 8 __nsubplots = None
9 9
10 10 WIDTH = None
11 11 HEIGHT = None
12 12 WIDTHPROF = None
13 13 HEIGHTPROF = None
14 14 PREFIX = 'cspc'
15 15
16 16 def __init__(self):
17 17
18 18 self.__isConfig = False
19 19 self.__nsubplots = 4
20 20
21 21 self.WIDTH = 250
22 22 self.HEIGHT = 250
23 23 self.WIDTHPROF = 0
24 24 self.HEIGHTPROF = 0
25 25
26 26 def getSubplots(self):
27 27
28 28 ncol = 4
29 29 nrow = self.nplots
30 30
31 31 return nrow, ncol
32 32
33 def setup(self, idfigure, nplots, wintitle, showprofile=True):
33 def setup(self, idfigure, nplots, wintitle, showprofile=True, show=True):
34 34
35 35 self.__showprofile = showprofile
36 36 self.nplots = nplots
37 37
38 38 ncolspan = 1
39 39 colspan = 1
40 40
41 41 self.createFigure(idfigure = idfigure,
42 42 wintitle = wintitle,
43 43 widthplot = self.WIDTH + self.WIDTHPROF,
44 heightplot = self.HEIGHT + self.HEIGHTPROF)
44 heightplot = self.HEIGHT + self.HEIGHTPROF,
45 show=True)
45 46
46 47 nrow, ncol = self.getSubplots()
47 48
48 49 counter = 0
49 50 for y in range(nrow):
50 51 for x in range(ncol):
51 52 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
52 53
53 54 counter += 1
54 55
55 56 def run(self, dataOut, idfigure, wintitle="", pairsList=None, showprofile='True',
56 57 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
57 58 save=False, figpath='./', figfile=None,
58 power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r'):
59 power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r', show=True):
59 60
60 61 """
61 62
62 63 Input:
63 64 dataOut :
64 65 idfigure :
65 66 wintitle :
66 67 channelList :
67 68 showProfile :
68 69 xmin : None,
69 70 xmax : None,
70 71 ymin : None,
71 72 ymax : None,
72 73 zmin : None,
73 74 zmax : None
74 75 """
75 76
76 77 if pairsList == None:
77 78 pairsIndexList = dataOut.pairsIndexList
78 79 else:
79 80 pairsIndexList = []
80 81 for pair in pairsList:
81 82 if pair not in dataOut.pairsList:
82 83 raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair)
83 84 pairsIndexList.append(dataOut.pairsList.index(pair))
84 85
85 86 if pairsIndexList == []:
86 87 return
87 88
88 89 if len(pairsIndexList) > 4:
89 90 pairsIndexList = pairsIndexList[0:4]
90 91 factor = dataOut.normFactor
91 92 x = dataOut.getVelRange(1)
92 93 y = dataOut.getHeiRange()
93 94 z = dataOut.data_spc[:,:,:]/factor
94 95 # z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
95 96 avg = numpy.abs(numpy.average(z, axis=1))
96 97 noise = dataOut.getNoise()/factor
97 98
98 99 zdB = 10*numpy.log10(z)
99 100 avgdB = 10*numpy.log10(avg)
100 101 noisedB = 10*numpy.log10(noise)
101 102
102 103
103 104 thisDatetime = dataOut.datatime
104 105 title = "Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
105 106 xlabel = "Velocity (m/s)"
106 107 ylabel = "Range (Km)"
107 108
108 109 if not self.__isConfig:
109 110
110 111 nplots = len(pairsIndexList)
111 112
112 113 self.setup(idfigure=idfigure,
113 114 nplots=nplots,
114 115 wintitle=wintitle,
115 showprofile=showprofile)
116 showprofile=showprofile,
117 show=show)
116 118
117 119 if xmin == None: xmin = numpy.nanmin(x)
118 120 if xmax == None: xmax = numpy.nanmax(x)
119 121 if ymin == None: ymin = numpy.nanmin(y)
120 122 if ymax == None: ymax = numpy.nanmax(y)
121 123 if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
122 124 if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
123 125
124 126 self.__isConfig = True
125 127
126 128 self.setWinTitle(title)
127 129
128 130 for i in range(self.nplots):
129 131 pair = dataOut.pairsList[pairsIndexList[i]]
130 132
131 133 title = "Channel %d: %4.2fdB" %(pair[0], noisedB[pair[0]])
132 134 zdB = 10.*numpy.log10(dataOut.data_spc[pair[0],:,:]/factor)
133 135 axes0 = self.axesList[i*self.__nsubplots]
134 136 axes0.pcolor(x, y, zdB,
135 137 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
136 138 xlabel=xlabel, ylabel=ylabel, title=title,
137 139 ticksize=9, colormap=power_cmap, cblabel='')
138 140
139 141 title = "Channel %d: %4.2fdB" %(pair[1], noisedB[pair[1]])
140 142 zdB = 10.*numpy.log10(dataOut.data_spc[pair[1],:,:]/factor)
141 143 axes0 = self.axesList[i*self.__nsubplots+1]
142 144 axes0.pcolor(x, y, zdB,
143 145 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
144 146 xlabel=xlabel, ylabel=ylabel, title=title,
145 147 ticksize=9, colormap=power_cmap, cblabel='')
146 148
147 149 coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[pair[0],:,:]*dataOut.data_spc[pair[1],:,:])
148 150 coherence = numpy.abs(coherenceComplex)
149 151 # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi
150 152 phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi
151 153
152 154 title = "Coherence %d%d" %(pair[0], pair[1])
153 155 axes0 = self.axesList[i*self.__nsubplots+2]
154 156 axes0.pcolor(x, y, coherence,
155 157 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=0, zmax=1,
156 158 xlabel=xlabel, ylabel=ylabel, title=title,
157 159 ticksize=9, colormap=coherence_cmap, cblabel='')
158 160
159 161 title = "Phase %d%d" %(pair[0], pair[1])
160 162 axes0 = self.axesList[i*self.__nsubplots+3]
161 163 axes0.pcolor(x, y, phase,
162 164 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=-180, zmax=180,
163 165 xlabel=xlabel, ylabel=ylabel, title=title,
164 166 ticksize=9, colormap=phase_cmap, cblabel='')
165 167
166 168
167 169
168 170 self.draw()
169 171
170 172 if save:
171 173 date = thisDatetime.strftime("%Y%m%d_%H%M%S")
172 174 if figfile == None:
173 175 figfile = self.getFilename(name = date)
174 176
175 177 self.saveFigure(figpath, figfile)
176 178
177 179
178 180 class RTIPlot(Figure):
179 181
180 182 __isConfig = None
181 183 __nsubplots = None
182 184
183 185 WIDTHPROF = None
184 186 HEIGHTPROF = None
185 187 PREFIX = 'rti'
186 188
187 189 def __init__(self):
188 190
189 191 self.timerange = 2*60*60
190 192 self.__isConfig = False
191 193 self.__nsubplots = 1
192 194
193 195 self.WIDTH = 800
194 196 self.HEIGHT = 150
195 197 self.WIDTHPROF = 120
196 198 self.HEIGHTPROF = 0
197 199 self.counterftp = 0
198 200
199 201 def getSubplots(self):
200 202
201 203 ncol = 1
202 204 nrow = self.nplots
203 205
204 206 return nrow, ncol
205 207
206 def setup(self, idfigure, nplots, wintitle, showprofile=True):
208 def setup(self, idfigure, nplots, wintitle, showprofile=True, show=True):
207 209
208 210 self.__showprofile = showprofile
209 211 self.nplots = nplots
210 212
211 213 ncolspan = 1
212 214 colspan = 1
213 215 if showprofile:
214 216 ncolspan = 7
215 217 colspan = 6
216 218 self.__nsubplots = 2
217 219
218 220 self.createFigure(idfigure = idfigure,
219 221 wintitle = wintitle,
220 222 widthplot = self.WIDTH + self.WIDTHPROF,
221 heightplot = self.HEIGHT + self.HEIGHTPROF)
223 heightplot = self.HEIGHT + self.HEIGHTPROF,
224 show=show)
222 225
223 226 nrow, ncol = self.getSubplots()
224 227
225 228 counter = 0
226 229 for y in range(nrow):
227 230 for x in range(ncol):
228 231
229 232 if counter >= self.nplots:
230 233 break
231 234
232 235 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
233 236
234 237 if showprofile:
235 238 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
236 239
237 240 counter += 1
238 241
239 242 def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile='True',
240 243 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
241 244 timerange=None,
242 save=False, figpath='./', figfile=None, ftp=False, ftpratio=1):
245 save=False, figpath='./', figfile=None, ftp=False, ftpratio=1, show=True):
243 246
244 247 """
245 248
246 249 Input:
247 250 dataOut :
248 251 idfigure :
249 252 wintitle :
250 253 channelList :
251 254 showProfile :
252 255 xmin : None,
253 256 xmax : None,
254 257 ymin : None,
255 258 ymax : None,
256 259 zmin : None,
257 260 zmax : None
258 261 """
259 262
260 263 if channelList == None:
261 264 channelIndexList = dataOut.channelIndexList
262 265 else:
263 266 channelIndexList = []
264 267 for channel in channelList:
265 268 if channel not in dataOut.channelList:
266 269 raise ValueError, "Channel %d is not in dataOut.channelList"
267 270 channelIndexList.append(dataOut.channelList.index(channel))
268 271
269 272 if timerange != None:
270 273 self.timerange = timerange
271 274
272 275 tmin = None
273 276 tmax = None
274 277 factor = dataOut.normFactor
275 278 x = dataOut.getTimeRange()
276 279 y = dataOut.getHeiRange()
277 280
278 281 z = dataOut.data_spc[channelIndexList,:,:]/factor
279 282 z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
280 283 avg = numpy.average(z, axis=1)
281 284
282 285 avgdB = 10.*numpy.log10(avg)
283 286
284 287
285 288 thisDatetime = dataOut.datatime
286 289 title = "RTI: %s" %(thisDatetime.strftime("%d-%b-%Y"))
287 290 xlabel = ""
288 291 ylabel = "Range (Km)"
289 292
290 293 if not self.__isConfig:
291 294
292 295 nplots = len(channelIndexList)
293 296
294 297 self.setup(idfigure=idfigure,
295 298 nplots=nplots,
296 299 wintitle=wintitle,
297 showprofile=showprofile)
300 showprofile=showprofile,
301 show=show)
298 302
299 303 tmin, tmax = self.getTimeLim(x, xmin, xmax)
300 304 if ymin == None: ymin = numpy.nanmin(y)
301 305 if ymax == None: ymax = numpy.nanmax(y)
302 306 if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
303 307 if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
304 308
305 309 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
306 310 self.__isConfig = True
307 311
308 312
309 313 self.setWinTitle(title)
310 314
311 315 for i in range(self.nplots):
312 316 title = "Channel %d: %s" %(dataOut.channelList[i], thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
313 317 axes = self.axesList[i*self.__nsubplots]
314 318 zdB = avgdB[i].reshape((1,-1))
315 319 axes.pcolorbuffer(x, y, zdB,
316 320 xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
317 321 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
318 322 ticksize=9, cblabel='', cbsize="1%")
319 323
320 324 if self.__showprofile:
321 325 axes = self.axesList[i*self.__nsubplots +1]
322 326 axes.pline(avgdB[i], y,
323 327 xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
324 328 xlabel='dB', ylabel='', title='',
325 329 ytick_visible=False,
326 330 grid='x')
327 331
328 332 self.draw()
329 333
330 334 if save:
331 335
332 336 if figfile == None:
333 337 figfile = self.getFilename(name = self.name)
334 338
335 339 self.saveFigure(figpath, figfile)
336 340
337 341 self.counterftp += 1
338 342 if (ftp and (self.counterftp==ftpratio)):
339 343 figfilename = os.path.join(figpath,figfile)
340 344 self.sendByFTP(figfilename)
341 345 self.counterftp = 0
342 346
343 347 if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax:
344 348 self.__isConfig = False
345 349
346 350 class SpectraPlot(Figure):
347 351
348 352 __isConfig = None
349 353 __nsubplots = None
350 354
351 355 WIDTHPROF = None
352 356 HEIGHTPROF = None
353 357 PREFIX = 'spc'
354 358
355 359 def __init__(self):
356 360
357 361 self.__isConfig = False
358 362 self.__nsubplots = 1
359 363
360 364 self.WIDTH = 230
361 365 self.HEIGHT = 250
362 366 self.WIDTHPROF = 120
363 367 self.HEIGHTPROF = 0
364 368
365 369 def getSubplots(self):
366 370
367 371 ncol = int(numpy.sqrt(self.nplots)+0.9)
368 372 nrow = int(self.nplots*1./ncol + 0.9)
369 373
370 374 return nrow, ncol
371 375
372 def setup(self, idfigure, nplots, wintitle, showprofile=True):
376 def setup(self, idfigure, nplots, wintitle, showprofile=True, show=True):
373 377
374 378 self.__showprofile = showprofile
375 379 self.nplots = nplots
376 380
377 381 ncolspan = 1
378 382 colspan = 1
379 383 if showprofile:
380 384 ncolspan = 3
381 385 colspan = 2
382 386 self.__nsubplots = 2
383 387
384 388 self.createFigure(idfigure = idfigure,
385 389 wintitle = wintitle,
386 390 widthplot = self.WIDTH + self.WIDTHPROF,
387 heightplot = self.HEIGHT + self.HEIGHTPROF)
391 heightplot = self.HEIGHT + self.HEIGHTPROF,
392 show=show)
388 393
389 394 nrow, ncol = self.getSubplots()
390 395
391 396 counter = 0
392 397 for y in range(nrow):
393 398 for x in range(ncol):
394 399
395 400 if counter >= self.nplots:
396 401 break
397 402
398 403 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
399 404
400 405 if showprofile:
401 406 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
402 407
403 408 counter += 1
404 409
405 410 def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile='True',
406 411 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
407 save=False, figpath='./', figfile=None):
412 save=False, figpath='./', figfile=None, show=True):
408 413
409 414 """
410 415
411 416 Input:
412 417 dataOut :
413 418 idfigure :
414 419 wintitle :
415 420 channelList :
416 421 showProfile :
417 422 xmin : None,
418 423 xmax : None,
419 424 ymin : None,
420 425 ymax : None,
421 426 zmin : None,
422 427 zmax : None
423 428 """
424 429
425 430 if channelList == None:
426 431 channelIndexList = dataOut.channelIndexList
427 432 else:
428 433 channelIndexList = []
429 434 for channel in channelList:
430 435 if channel not in dataOut.channelList:
431 436 raise ValueError, "Channel %d is not in dataOut.channelList"
432 437 channelIndexList.append(dataOut.channelList.index(channel))
433 438 factor = dataOut.normFactor
434 439 x = dataOut.getVelRange(1)
435 440 y = dataOut.getHeiRange()
436 441
437 442 z = dataOut.data_spc[channelIndexList,:,:]/factor
438 443 z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
439 444 avg = numpy.average(z, axis=1)
440 445 noise = dataOut.getNoise()/factor
441 446
442 447 zdB = 10*numpy.log10(z)
443 448 avgdB = 10*numpy.log10(avg)
444 449 noisedB = 10*numpy.log10(noise)
445 450
446 451 thisDatetime = dataOut.datatime
447 452 title = "Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
448 453 xlabel = "Velocity (m/s)"
449 454 ylabel = "Range (Km)"
450 455
451 456 if not self.__isConfig:
452 457
453 458 nplots = len(channelIndexList)
454 459
455 460 self.setup(idfigure=idfigure,
456 461 nplots=nplots,
457 462 wintitle=wintitle,
458 showprofile=showprofile)
463 showprofile=showprofile,
464 show=show)
459 465
460 466 if xmin == None: xmin = numpy.nanmin(x)
461 467 if xmax == None: xmax = numpy.nanmax(x)
462 468 if ymin == None: ymin = numpy.nanmin(y)
463 469 if ymax == None: ymax = numpy.nanmax(y)
464 470 if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
465 471 if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
466 472
467 473 self.__isConfig = True
468 474
469 475 self.setWinTitle(title)
470 476
471 477 for i in range(self.nplots):
472 478 title = "Channel %d: %4.2fdB" %(dataOut.channelList[i], noisedB[i])
473 479 axes = self.axesList[i*self.__nsubplots]
474 480 axes.pcolor(x, y, zdB[i,:,:],
475 481 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
476 482 xlabel=xlabel, ylabel=ylabel, title=title,
477 483 ticksize=9, cblabel='')
478 484
479 485 if self.__showprofile:
480 486 axes = self.axesList[i*self.__nsubplots +1]
481 487 axes.pline(avgdB[i], y,
482 488 xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
483 489 xlabel='dB', ylabel='', title='',
484 490 ytick_visible=False,
485 491 grid='x')
486 492
487 493 noiseline = numpy.repeat(noisedB[i], len(y))
488 494 axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2)
489 495
490 496 self.draw()
491 497
492 498 if save:
493 499 date = thisDatetime.strftime("%Y%m%d_%H%M%S")
494 500 if figfile == None:
495 501 figfile = self.getFilename(name = date)
496 502
497 503 self.saveFigure(figpath, figfile)
498 504
499 505 class Scope(Figure):
500 506
501 507 __isConfig = None
502 508
503 509 def __init__(self):
504 510
505 511 self.__isConfig = False
506 512 self.WIDTH = 600
507 513 self.HEIGHT = 200
508 514
509 515 def getSubplots(self):
510 516
511 517 nrow = self.nplots
512 518 ncol = 3
513 519 return nrow, ncol
514 520
515 def setup(self, idfigure, nplots, wintitle):
521 def setup(self, idfigure, nplots, wintitle, show):
516 522
517 523 self.nplots = nplots
518 524
519 self.createFigure(idfigure, wintitle)
525 self.createFigure(idfigure=idfigure,
526 wintitle=wintitle,
527 show=show)
520 528
521 529 nrow,ncol = self.getSubplots()
522 530 colspan = 3
523 531 rowspan = 1
524 532
525 533 for i in range(nplots):
526 534 self.addAxes(nrow, ncol, i, 0, colspan, rowspan)
527 535
528 536
529 537
530 538 def run(self, dataOut, idfigure, wintitle="", channelList=None,
531 539 xmin=None, xmax=None, ymin=None, ymax=None, save=False,
532 figpath='./', figfile=None):
540 figpath='./', figfile=None, show=True):
533 541
534 542 """
535 543
536 544 Input:
537 545 dataOut :
538 546 idfigure :
539 547 wintitle :
540 548 channelList :
541 549 xmin : None,
542 550 xmax : None,
543 551 ymin : None,
544 552 ymax : None,
545 553 """
546 554
547 555 if channelList == None:
548 556 channelIndexList = dataOut.channelIndexList
549 557 else:
550 558 channelIndexList = []
551 559 for channel in channelList:
552 560 if channel not in dataOut.channelList:
553 561 raise ValueError, "Channel %d is not in dataOut.channelList"
554 562 channelIndexList.append(dataOut.channelList.index(channel))
555 563
556 564 x = dataOut.heightList
557 565 y = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:])
558 566 y = y.real
559 567
560 568 thisDatetime = dataOut.datatime
561 569 title = "Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
562 570 xlabel = "Range (Km)"
563 571 ylabel = "Intensity"
564 572
565 573 if not self.__isConfig:
566 574 nplots = len(channelIndexList)
567 575
568 576 self.setup(idfigure=idfigure,
569 577 nplots=nplots,
570 wintitle=wintitle)
578 wintitle=wintitle,
579 show=show)
571 580
572 581 if xmin == None: xmin = numpy.nanmin(x)
573 582 if xmax == None: xmax = numpy.nanmax(x)
574 583 if ymin == None: ymin = numpy.nanmin(y)
575 584 if ymax == None: ymax = numpy.nanmax(y)
576 585
577 586 self.__isConfig = True
578 587
579 588 self.setWinTitle(title)
580 589
581 590 for i in range(len(self.axesList)):
582 591 title = "Channel %d" %(i)
583 592 axes = self.axesList[i]
584 593 ychannel = y[i,:]
585 594 axes.pline(x, ychannel,
586 595 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
587 596 xlabel=xlabel, ylabel=ylabel, title=title)
588 597
589 598 self.draw()
590 599
591 600 if save:
592 601 date = thisDatetime.strftime("%Y%m%d_%H%M%S")
593 602 if figfile == None:
594 603 figfile = self.getFilename(name = date)
595 604
596 605 self.saveFigure(figpath, figfile)
597 606
598 607 class ProfilePlot(Figure):
599 608 __isConfig = None
600 609 __nsubplots = None
601 610
602 611 WIDTHPROF = None
603 612 HEIGHTPROF = None
604 613 PREFIX = 'spcprofile'
605 614
606 615 def __init__(self):
607 616 self.__isConfig = False
608 617 self.__nsubplots = 1
609 618
610 619 self.WIDTH = 300
611 620 self.HEIGHT = 500
612 621
613 622 def getSubplots(self):
614 623 ncol = 1
615 624 nrow = 1
616 625
617 626 return nrow, ncol
618 627
619 def setup(self, idfigure, nplots, wintitle):
628 def setup(self, idfigure, nplots, wintitle, show):
620 629
621 630 self.nplots = nplots
622 631
623 632 ncolspan = 1
624 633 colspan = 1
625 634
626 635 self.createFigure(idfigure = idfigure,
627 636 wintitle = wintitle,
628 637 widthplot = self.WIDTH,
629 heightplot = self.HEIGHT)
638 heightplot = self.HEIGHT,
639 show=show)
630 640
631 641 nrow, ncol = self.getSubplots()
632 642
633 643 counter = 0
634 644 for y in range(nrow):
635 645 for x in range(ncol):
636 646 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
637 647
638 648 def run(self, dataOut, idfigure, wintitle="", channelList=None,
639 649 xmin=None, xmax=None, ymin=None, ymax=None,
640 save=False, figpath='./', figfile=None):
650 save=False, figpath='./', figfile=None, show=True):
641 651
642 652 if channelList == None:
643 653 channelIndexList = dataOut.channelIndexList
644 654 channelList = dataOut.channelList
645 655 else:
646 656 channelIndexList = []
647 657 for channel in channelList:
648 658 if channel not in dataOut.channelList:
649 659 raise ValueError, "Channel %d is not in dataOut.channelList"
650 660 channelIndexList.append(dataOut.channelList.index(channel))
651 661
652 662 factor = dataOut.normFactor
653 663 y = dataOut.getHeiRange()
654 664 x = dataOut.data_spc[channelIndexList,:,:]/factor
655 665 x = numpy.where(numpy.isfinite(x), x, numpy.NAN)
656 666 avg = numpy.average(x, axis=1)
657 667
658 668 avgdB = 10*numpy.log10(avg)
659 669
660 670 thisDatetime = dataOut.datatime
661 671 title = "Power Profile"
662 672 xlabel = "dB"
663 673 ylabel = "Range (Km)"
664 674
665 675 if not self.__isConfig:
666 676
667 677 nplots = 1
668 678
669 679 self.setup(idfigure=idfigure,
670 680 nplots=nplots,
671 wintitle=wintitle)
681 wintitle=wintitle,
682 show=show)
672 683
673 684 if ymin == None: ymin = numpy.nanmin(y)
674 685 if ymax == None: ymax = numpy.nanmax(y)
675 686 if xmin == None: xmin = numpy.nanmin(avgdB)*0.9
676 687 if xmax == None: xmax = numpy.nanmax(avgdB)*0.9
677 688
678 689 self.__isConfig = True
679 690
680 691 self.setWinTitle(title)
681 692
682 693
683 694 title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
684 695 axes = self.axesList[0]
685 696
686 697 legendlabels = ["channel %d"%x for x in channelList]
687 698 axes.pmultiline(avgdB, y,
688 699 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
689 700 xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels,
690 701 ytick_visible=True, nxticks=5,
691 702 grid='x')
692 703
693 704 self.draw()
694 705
695 706 if save:
696 707 date = thisDatetime.strftime("%Y%m%d")
697 708 if figfile == None:
698 709 figfile = self.getFilename(name = date)
699 710
700 711 self.saveFigure(figpath, figfile)
701 712
702 713 class CoherenceMap(Figure):
703 714 __isConfig = None
704 715 __nsubplots = None
705 716
706 717 WIDTHPROF = None
707 718 HEIGHTPROF = None
708 719 PREFIX = 'cmap'
709 720
710 721 def __init__(self):
711 722 self.timerange = 2*60*60
712 723 self.__isConfig = False
713 724 self.__nsubplots = 1
714 725
715 726 self.WIDTH = 800
716 727 self.HEIGHT = 150
717 728 self.WIDTHPROF = 120
718 729 self.HEIGHTPROF = 0
719 730 self.counterftp = 0
720 731
721 732 def getSubplots(self):
722 733 ncol = 1
723 734 nrow = self.nplots*2
724 735
725 736 return nrow, ncol
726 737
727 def setup(self, idfigure, nplots, wintitle, showprofile=True):
738 def setup(self, idfigure, nplots, wintitle, showprofile=True, show=True):
728 739 self.__showprofile = showprofile
729 740 self.nplots = nplots
730 741
731 742 ncolspan = 1
732 743 colspan = 1
733 744 if showprofile:
734 745 ncolspan = 7
735 746 colspan = 6
736 747 self.__nsubplots = 2
737 748
738 749 self.createFigure(idfigure = idfigure,
739 750 wintitle = wintitle,
740 751 widthplot = self.WIDTH + self.WIDTHPROF,
741 heightplot = self.HEIGHT + self.HEIGHTPROF)
752 heightplot = self.HEIGHT + self.HEIGHTPROF,
753 show=True)
742 754
743 755 nrow, ncol = self.getSubplots()
744 756
745 757 for y in range(nrow):
746 758 for x in range(ncol):
747 759
748 760 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
749 761
750 762 if showprofile:
751 763 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
752 764
753 765 def run(self, dataOut, idfigure, wintitle="", pairsList=None, showprofile='True',
754 766 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
755 767 timerange=None,
756 768 save=False, figpath='./', figfile=None, ftp=False, ftpratio=1,
757 coherence_cmap='jet', phase_cmap='RdBu_r'):
769 coherence_cmap='jet', phase_cmap='RdBu_r', show=True):
758 770
759 771 if pairsList == None:
760 772 pairsIndexList = dataOut.pairsIndexList
761 773 else:
762 774 pairsIndexList = []
763 775 for pair in pairsList:
764 776 if pair not in dataOut.pairsList:
765 777 raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair)
766 778 pairsIndexList.append(dataOut.pairsList.index(pair))
767 779
768 780 if timerange != None:
769 781 self.timerange = timerange
770 782
771 783 if pairsIndexList == []:
772 784 return
773 785
774 786 if len(pairsIndexList) > 4:
775 787 pairsIndexList = pairsIndexList[0:4]
776 788
777 789 tmin = None
778 790 tmax = None
779 791 x = dataOut.getTimeRange()
780 792 y = dataOut.getHeiRange()
781 793
782 794 thisDatetime = dataOut.datatime
783 795 title = "CoherenceMap: %s" %(thisDatetime.strftime("%d-%b-%Y"))
784 796 xlabel = ""
785 797 ylabel = "Range (Km)"
786 798
787 799 if not self.__isConfig:
788 800 nplots = len(pairsIndexList)
789 801 self.setup(idfigure=idfigure,
790 802 nplots=nplots,
791 803 wintitle=wintitle,
792 showprofile=showprofile)
804 showprofile=showprofile,
805 show=show)
793 806
794 807 tmin, tmax = self.getTimeLim(x, xmin, xmax)
795 808 if ymin == None: ymin = numpy.nanmin(y)
796 809 if ymax == None: ymax = numpy.nanmax(y)
797 810
798 811 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
799 812
800 813 self.__isConfig = True
801 814
802 815 self.setWinTitle(title)
803 816
804 817 for i in range(self.nplots):
805 818
806 819 pair = dataOut.pairsList[pairsIndexList[i]]
807 820 coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[pair[0],:,:]*dataOut.data_spc[pair[1],:,:])
808 821 avgcoherenceComplex = numpy.average(coherenceComplex, axis=0)
809 822 coherence = numpy.abs(avgcoherenceComplex)
810 823 # coherence = numpy.abs(coherenceComplex)
811 824 # avg = numpy.average(coherence, axis=0)
812 825
813 826 z = coherence.reshape((1,-1))
814 827
815 828 counter = 0
816 829
817 830 title = "Coherence %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
818 831 axes = self.axesList[i*self.__nsubplots*2]
819 832 axes.pcolorbuffer(x, y, z,
820 833 xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=0, zmax=1,
821 834 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
822 835 ticksize=9, cblabel='', colormap=coherence_cmap, cbsize="1%")
823 836
824 837 if self.__showprofile:
825 838 counter += 1
826 839 axes = self.axesList[i*self.__nsubplots*2 + counter]
827 840 axes.pline(coherence, y,
828 841 xmin=0, xmax=1, ymin=ymin, ymax=ymax,
829 842 xlabel='', ylabel='', title='', ticksize=7,
830 843 ytick_visible=False, nxticks=5,
831 844 grid='x')
832 845
833 846 counter += 1
834 847 # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi
835 848 phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi
836 849 # avg = numpy.average(phase, axis=0)
837 850 z = phase.reshape((1,-1))
838 851
839 852 title = "Phase %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
840 853 axes = self.axesList[i*self.__nsubplots*2 + counter]
841 854 axes.pcolorbuffer(x, y, z,
842 855 xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=-180, zmax=180,
843 856 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
844 857 ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%")
845 858
846 859 if self.__showprofile:
847 860 counter += 1
848 861 axes = self.axesList[i*self.__nsubplots*2 + counter]
849 862 axes.pline(phase, y,
850 863 xmin=-180, xmax=180, ymin=ymin, ymax=ymax,
851 864 xlabel='', ylabel='', title='', ticksize=7,
852 865 ytick_visible=False, nxticks=4,
853 866 grid='x')
854 867
855 868 self.draw()
856 869
857 870 if save:
858 871
859 872 if figfile == None:
860 873 figfile = self.getFilename(name = self.name)
861 874
862 875 self.saveFigure(figpath, figfile)
863 876
864 877 self.counterftp += 1
865 878 if (ftp and (self.counterftp==ftpratio)):
866 879 figfilename = os.path.join(figpath,figfile)
867 880 self.sendByFTP(figfilename)
868 881 self.counterftp = 0
869 882
870 883 if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax:
871 884 self.__isConfig = False
872 885
873 886 class RTIfromNoise(Figure):
874 887
875 888 __isConfig = None
876 889 __nsubplots = None
877 890
878 891 PREFIX = 'rtinoise'
879 892
880 893 def __init__(self):
881 894
882 895 self.timerange = 24*60*60
883 896 self.__isConfig = False
884 897 self.__nsubplots = 1
885 898
886 899 self.WIDTH = 820
887 900 self.HEIGHT = 200
888 901 self.WIDTHPROF = 120
889 902 self.HEIGHTPROF = 0
890 903 self.xdata = None
891 904 self.ydata = None
892 905
893 906 def getSubplots(self):
894 907
895 908 ncol = 1
896 909 nrow = 1
897 910
898 911 return nrow, ncol
899 912
900 def setup(self, idfigure, nplots, wintitle, showprofile=True):
913 def setup(self, idfigure, nplots, wintitle, showprofile=True, show=True):
901 914
902 915 self.__showprofile = showprofile
903 916 self.nplots = nplots
904 917
905 918 ncolspan = 7
906 919 colspan = 6
907 920 self.__nsubplots = 2
908 921
909 922 self.createFigure(idfigure = idfigure,
910 923 wintitle = wintitle,
911 924 widthplot = self.WIDTH+self.WIDTHPROF,
912 heightplot = self.HEIGHT+self.HEIGHTPROF)
925 heightplot = self.HEIGHT+self.HEIGHTPROF,
926 show=show)
913 927
914 928 nrow, ncol = self.getSubplots()
915 929
916 930 self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1)
917 931
918 932
919 933 def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile='True',
920 934 xmin=None, xmax=None, ymin=None, ymax=None,
921 935 timerange=None,
922 save=False, figpath='./', figfile=None):
936 save=False, figpath='./', figfile=None, show=True):
923 937
924 938 if channelList == None:
925 939 channelIndexList = dataOut.channelIndexList
926 940 channelList = dataOut.channelList
927 941 else:
928 942 channelIndexList = []
929 943 for channel in channelList:
930 944 if channel not in dataOut.channelList:
931 945 raise ValueError, "Channel %d is not in dataOut.channelList"
932 946 channelIndexList.append(dataOut.channelList.index(channel))
933 947
934 948 if timerange != None:
935 949 self.timerange = timerange
936 950
937 951 tmin = None
938 952 tmax = None
939 953 x = dataOut.getTimeRange()
940 954 y = dataOut.getHeiRange()
941 955 factor = dataOut.normFactor
942 956 noise = dataOut.getNoise()/factor
943 957 noisedB = 10*numpy.log10(noise)
944 958
945 959 thisDatetime = dataOut.datatime
946 960 title = "RTI Noise: %s" %(thisDatetime.strftime("%d-%b-%Y"))
947 961 xlabel = ""
948 962 ylabel = "Range (Km)"
949 963
950 964 if not self.__isConfig:
951 965
952 966 nplots = 1
953 967
954 968 self.setup(idfigure=idfigure,
955 969 nplots=nplots,
956 970 wintitle=wintitle,
957 showprofile=showprofile)
971 showprofile=showprofile,
972 show=show)
958 973
959 974 tmin, tmax = self.getTimeLim(x, xmin, xmax)
960 975 if ymin == None: ymin = numpy.nanmin(noisedB)
961 976 if ymax == None: ymax = numpy.nanmax(noisedB)
962 977
963 978 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
964 979 self.__isConfig = True
965 980
966 981 self.xdata = numpy.array([])
967 982 self.ydata = numpy.array([])
968 983
969 984 self.setWinTitle(title)
970 985
971 986
972 987 title = "RTI Noise %s" %(thisDatetime.strftime("%d-%b-%Y"))
973 988
974 989 legendlabels = ["channel %d"%idchannel for idchannel in channelList]
975 990 axes = self.axesList[0]
976 991
977 992 self.xdata = numpy.hstack((self.xdata, x[0:1]))
978 993
979 994 if len(self.ydata)==0:
980 995 self.ydata = noisedB[channelIndexList].reshape(-1,1)
981 996 else:
982 997 self.ydata = numpy.hstack((self.ydata, noisedB[channelIndexList].reshape(-1,1)))
983 998
984 999
985 1000 axes.pmultilineyaxis(x=self.xdata, y=self.ydata,
986 1001 xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax,
987 1002 xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid",
988 1003 XAxisAsTime=True
989 1004 )
990 1005
991 1006 self.draw()
992 1007
993 1008 if save:
994 1009
995 1010 if figfile == None:
996 1011 figfile = self.getFilename(name = self.name)
997 1012
998 1013 self.saveFigure(figpath, figfile)
999 1014
1000 1015 if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax:
1001 1016 self.__isConfig = False
1002 1017 del self.xdata
1003 1018 del self.ydata
1004 1019
1005 1020
1006 1021 class SpectraHeisScope(Figure):
1007 1022
1008 1023
1009 1024 __isConfig = None
1010 1025 __nsubplots = None
1011 1026
1012 1027 WIDTHPROF = None
1013 1028 HEIGHTPROF = None
1014 1029 PREFIX = 'spc'
1015 1030
1016 1031 def __init__(self):
1017 1032
1018 1033 self.__isConfig = False
1019 1034 self.__nsubplots = 1
1020 1035
1021 1036 self.WIDTH = 230
1022 1037 self.HEIGHT = 250
1023 1038 self.WIDTHPROF = 120
1024 1039 self.HEIGHTPROF = 0
1025 1040 self.counterftp = 0
1026 1041
1027 1042 def getSubplots(self):
1028 1043
1029 1044 ncol = int(numpy.sqrt(self.nplots)+0.9)
1030 1045 nrow = int(self.nplots*1./ncol + 0.9)
1031 1046
1032 1047 return nrow, ncol
1033 1048
1034 def setup(self, idfigure, nplots, wintitle):
1049 def setup(self, idfigure, nplots, wintitle, show):
1035 1050
1036 1051 showprofile = False
1037 1052 self.__showprofile = showprofile
1038 1053 self.nplots = nplots
1039 1054
1040 1055 ncolspan = 1
1041 1056 colspan = 1
1042 1057 if showprofile:
1043 1058 ncolspan = 3
1044 1059 colspan = 2
1045 1060 self.__nsubplots = 2
1046 1061
1047 1062 self.createFigure(idfigure = idfigure,
1048 1063 wintitle = wintitle,
1049 1064 widthplot = self.WIDTH + self.WIDTHPROF,
1050 heightplot = self.HEIGHT + self.HEIGHTPROF)
1065 heightplot = self.HEIGHT + self.HEIGHTPROF,
1066 show = show)
1051 1067
1052 1068 nrow, ncol = self.getSubplots()
1053 1069
1054 1070 counter = 0
1055 1071 for y in range(nrow):
1056 1072 for x in range(ncol):
1057 1073
1058 1074 if counter >= self.nplots:
1059 1075 break
1060 1076
1061 1077 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
1062 1078
1063 1079 if showprofile:
1064 1080 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
1065 1081
1066 1082 counter += 1
1067 1083
1068 1084 # __isConfig = None
1069 1085 # def __init__(self):
1070 1086 #
1071 1087 # self.__isConfig = False
1072 1088 # self.WIDTH = 600
1073 1089 # self.HEIGHT = 200
1074 1090 #
1075 1091 # def getSubplots(self):
1076 1092 #
1077 1093 # nrow = self.nplots
1078 1094 # ncol = 3
1079 1095 # return nrow, ncol
1080 1096 #
1081 1097 # def setup(self, idfigure, nplots, wintitle):
1082 1098 #
1083 1099 # self.nplots = nplots
1084 1100 #
1085 1101 # self.createFigure(idfigure, wintitle)
1086 1102 #
1087 1103 # nrow,ncol = self.getSubplots()
1088 1104 # colspan = 3
1089 1105 # rowspan = 1
1090 1106 #
1091 1107 # for i in range(nplots):
1092 1108 # self.addAxes(nrow, ncol, i, 0, colspan, rowspan)
1093 1109
1094 1110 def run(self, dataOut, idfigure, wintitle="", channelList=None,
1095 1111 xmin=None, xmax=None, ymin=None, ymax=None, save=False,
1096 figpath='./', figfile=None, ftp=False, ftpratio=1):
1112 figpath='./', figfile=None, ftp=False, ftpratio=1, show=True):
1097 1113
1098 1114 """
1099 1115
1100 1116 Input:
1101 1117 dataOut :
1102 1118 idfigure :
1103 1119 wintitle :
1104 1120 channelList :
1105 1121 xmin : None,
1106 1122 xmax : None,
1107 1123 ymin : None,
1108 1124 ymax : None,
1109 1125 """
1110 1126
1111 1127 if channelList == None:
1112 1128 channelIndexList = dataOut.channelIndexList
1113 1129 else:
1114 1130 channelIndexList = []
1115 1131 for channel in channelList:
1116 1132 if channel not in dataOut.channelList:
1117 1133 raise ValueError, "Channel %d is not in dataOut.channelList"
1118 1134 channelIndexList.append(dataOut.channelList.index(channel))
1119 1135
1120 1136 # x = dataOut.heightList
1121 1137 c = 3E8
1122 1138 deltaHeight = dataOut.heightList[1] - dataOut.heightList[0]
1123 1139 #deberia cambiar para el caso de 1Mhz y 100KHz
1124 1140 x = numpy.arange(-1*dataOut.nHeights/2.,dataOut.nHeights/2.)*(c/(2*deltaHeight*dataOut.nHeights*1000))
1125 1141 x= x/(10000.0)
1126 1142 # y = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:])
1127 1143 # y = y.real
1128 1144 datadB = 10.*numpy.log10(dataOut.data_spc)
1129 1145 y = datadB
1130 1146
1131 1147 thisDatetime = dataOut.datatime
1132 1148 title = "Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
1133 1149 xlabel = "Frequency x 10000"
1134 1150 ylabel = "Intensity (dB)"
1135 1151
1136 1152 if not self.__isConfig:
1137 1153 nplots = len(channelIndexList)
1138 1154
1139 1155 self.setup(idfigure=idfigure,
1140 1156 nplots=nplots,
1141 wintitle=wintitle)
1157 wintitle=wintitle,
1158 show=show)
1142 1159
1143 1160 if xmin == None: xmin = numpy.nanmin(x)
1144 1161 if xmax == None: xmax = numpy.nanmax(x)
1145 1162 if ymin == None: ymin = numpy.nanmin(y)
1146 1163 if ymax == None: ymax = numpy.nanmax(y)
1147 1164
1148 1165 self.__isConfig = True
1149 1166
1150 1167 self.setWinTitle(title)
1151 1168
1152 1169 for i in range(len(self.axesList)):
1153 1170 ychannel = y[i,:]
1154 1171 title = "Channel %d - peak:%.2f" %(i,numpy.max(ychannel))
1155 1172 axes = self.axesList[i]
1156 1173 axes.pline(x, ychannel,
1157 1174 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
1158 1175 xlabel=xlabel, ylabel=ylabel, title=title, grid='both')
1159 1176
1177
1160 1178 self.draw()
1161 1179
1162 1180 if save:
1163 1181 date = thisDatetime.strftime("%Y%m%d_%H%M%S")
1164 1182 if figfile == None:
1165 1183 figfile = self.getFilename(name = date)
1166 1184
1167 1185 self.saveFigure(figpath, figfile)
1168 1186
1169 1187 self.counterftp += 1
1170 1188 if (ftp and (self.counterftp==ftpratio)):
1171 1189 figfilename = os.path.join(figpath,figfile)
1172 1190 self.sendByFTP(figfilename)
1173 1191 self.counterftp = 0
1174 1192
1175 1193
1176 1194 class RTIfromSpectraHeis(Figure):
1177 1195
1178 1196 __isConfig = None
1179 1197 __nsubplots = None
1180 1198
1181 1199 PREFIX = 'rtinoise'
1182 1200
1183 1201 def __init__(self):
1184 1202
1185 1203 self.timerange = 24*60*60
1186 1204 self.__isConfig = False
1187 1205 self.__nsubplots = 1
1188 1206
1189 1207 self.WIDTH = 820
1190 1208 self.HEIGHT = 200
1191 1209 self.WIDTHPROF = 120
1192 1210 self.HEIGHTPROF = 0
1193 1211 self.counterftp = 0
1194 1212 self.xdata = None
1195 1213 self.ydata = None
1196 1214
1197 1215 def getSubplots(self):
1198 1216
1199 1217 ncol = 1
1200 1218 nrow = 1
1201 1219
1202 1220 return nrow, ncol
1203 1221
1204 def setup(self, idfigure, nplots, wintitle, showprofile=True):
1222 def setup(self, idfigure, nplots, wintitle, showprofile=True, show=True):
1205 1223
1206 1224 self.__showprofile = showprofile
1207 1225 self.nplots = nplots
1208 1226
1209 1227 ncolspan = 7
1210 1228 colspan = 6
1211 1229 self.__nsubplots = 2
1212 1230
1213 1231 self.createFigure(idfigure = idfigure,
1214 1232 wintitle = wintitle,
1215 1233 widthplot = self.WIDTH+self.WIDTHPROF,
1216 heightplot = self.HEIGHT+self.HEIGHTPROF)
1234 heightplot = self.HEIGHT+self.HEIGHTPROF,
1235 show = show)
1217 1236
1218 1237 nrow, ncol = self.getSubplots()
1219 1238
1220 1239 self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1)
1221 1240
1222 1241
1223 1242 def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile='True',
1224 1243 xmin=None, xmax=None, ymin=None, ymax=None,
1225 1244 timerange=None,
1226 save=False, figpath='./', figfile=None, ftp=False, ftpratio=1):
1245 save=False, figpath='./', figfile=None, ftp=False, ftpratio=1, show=True):
1227 1246
1228 1247 if channelList == None:
1229 1248 channelIndexList = dataOut.channelIndexList
1230 1249 channelList = dataOut.channelList
1231 1250 else:
1232 1251 channelIndexList = []
1233 1252 for channel in channelList:
1234 1253 if channel not in dataOut.channelList:
1235 1254 raise ValueError, "Channel %d is not in dataOut.channelList"
1236 1255 channelIndexList.append(dataOut.channelList.index(channel))
1237 1256
1238 1257 if timerange != None:
1239 1258 self.timerange = timerange
1240 1259
1241 1260 tmin = None
1242 1261 tmax = None
1243 1262 x = dataOut.getTimeRange()
1244 1263 y = dataOut.getHeiRange()
1245 1264
1246 1265 factor = 1
1247 1266 data = dataOut.data_spc/factor
1248 1267 data = numpy.average(data,axis=1)
1249 1268 datadB = 10*numpy.log10(data)
1250 1269
1251 1270 # factor = dataOut.normFactor
1252 1271 # noise = dataOut.getNoise()/factor
1253 1272 # noisedB = 10*numpy.log10(noise)
1254 1273
1255 1274 thisDatetime = dataOut.datatime
1256 1275 title = "RTI: %s" %(thisDatetime.strftime("%d-%b-%Y"))
1257 1276 xlabel = "Local Time"
1258 1277 ylabel = "Intensity (dB)"
1259 1278
1260 1279 if not self.__isConfig:
1261 1280
1262 1281 nplots = 1
1263 1282
1264 1283 self.setup(idfigure=idfigure,
1265 1284 nplots=nplots,
1266 1285 wintitle=wintitle,
1267 showprofile=showprofile)
1286 showprofile=showprofile,
1287 show=show)
1268 1288
1269 1289 tmin, tmax = self.getTimeLim(x, xmin, xmax)
1270 1290 if ymin == None: ymin = numpy.nanmin(datadB)
1271 1291 if ymax == None: ymax = numpy.nanmax(datadB)
1272 1292
1273 1293 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
1274 1294 self.__isConfig = True
1275 1295
1276 1296 self.xdata = numpy.array([])
1277 1297 self.ydata = numpy.array([])
1278 1298
1279 1299 self.setWinTitle(title)
1280 1300
1281 1301
1282 1302 # title = "RTI %s" %(thisDatetime.strftime("%d-%b-%Y"))
1283 1303 title = "RTI-Noise - %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
1284 1304
1285 1305 legendlabels = ["channel %d"%idchannel for idchannel in channelList]
1286 1306 axes = self.axesList[0]
1287 1307
1288 1308 self.xdata = numpy.hstack((self.xdata, x[0:1]))
1289 1309
1290 1310 if len(self.ydata)==0:
1291 1311 self.ydata = datadB[channelIndexList].reshape(-1,1)
1292 1312 else:
1293 1313 self.ydata = numpy.hstack((self.ydata, datadB[channelIndexList].reshape(-1,1)))
1294 1314
1295 1315
1296 1316 axes.pmultilineyaxis(x=self.xdata, y=self.ydata,
1297 1317 xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax,
1298 1318 xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='.', markersize=8, linestyle="solid", grid='both',
1299 1319 XAxisAsTime=True
1300 1320 )
1301 1321
1302 1322 self.draw()
1303 1323
1304 1324 if save:
1305 1325
1306 1326 if figfile == None:
1307 1327 figfile = self.getFilename(name = self.name)
1308 1328
1309 1329 self.saveFigure(figpath, figfile)
1310 1330
1311 1331 self.counterftp += 1
1312 1332 if (ftp and (self.counterftp==ftpratio)):
1313 1333 figfilename = os.path.join(figpath,figfile)
1314 1334 self.sendByFTP(figfilename)
1315 1335 self.counterftp = 0
1316 1336
1317 1337 if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax:
1318 1338 self.__isConfig = False
1319 1339 del self.xdata
1320 1340 del self.ydata
1321 1341
1322 1342
1323 1343 No newline at end of file
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