| @@ -1,1103 +1,1133 | |||
|
|
1 | 1 | |
|
|
2 | 2 | import os |
|
|
3 | 3 | import time |
|
|
4 | 4 | import glob |
|
|
5 | 5 | import datetime |
|
|
6 | 6 | from multiprocessing import Process |
|
|
7 | 7 | |
|
|
8 | 8 | import zmq |
|
|
9 | 9 | import numpy |
|
|
10 | 10 | import matplotlib |
|
|
11 | 11 | import matplotlib.pyplot as plt |
|
|
12 | from matplotlib.patches import Polygon | |
|
|
12 | 13 | from mpl_toolkits.axes_grid1 import make_axes_locatable |
|
|
13 | 14 | from matplotlib.ticker import FuncFormatter, LinearLocator, MultipleLocator |
|
|
14 | 15 | |
|
|
15 | 16 | from schainpy.model.proc.jroproc_base import Operation |
|
|
16 | 17 | from schainpy.utils import log |
|
|
17 | 18 | |
|
|
18 | 19 | jet_values = matplotlib.pyplot.get_cmap('jet', 100)(numpy.arange(100))[10:90] |
|
|
19 | 20 | blu_values = matplotlib.pyplot.get_cmap( |
|
|
20 | 21 | 'seismic_r', 20)(numpy.arange(20))[10:15] |
|
|
21 | 22 | ncmap = matplotlib.colors.LinearSegmentedColormap.from_list( |
|
|
22 | 23 | 'jro', numpy.vstack((blu_values, jet_values))) |
|
|
23 | 24 | matplotlib.pyplot.register_cmap(cmap=ncmap) |
|
|
24 | 25 | |
|
|
25 | 26 | CMAPS = [plt.get_cmap(s) for s in ('jro', 'jet', 'viridis', 'plasma', 'inferno', 'Greys', 'seismic', 'bwr', 'coolwarm', 'spectral')] |
|
|
26 | 27 | |
|
|
27 | 28 | EARTH_RADIUS = 6.3710e3 |
|
|
28 | 29 | |
|
|
29 | 30 | def ll2xy(lat1, lon1, lat2, lon2): |
|
|
30 | 31 | |
|
|
31 | 32 | p = 0.017453292519943295 |
|
|
32 | 33 | a = 0.5 - numpy.cos((lat2 - lat1) * p)/2 + numpy.cos(lat1 * p) * numpy.cos(lat2 * p) * (1 - numpy.cos((lon2 - lon1) * p)) / 2 |
|
|
33 | 34 | r = 12742 * numpy.arcsin(numpy.sqrt(a)) |
|
|
34 | 35 | theta = numpy.arctan2(numpy.sin((lon2-lon1)*p)*numpy.cos(lat2*p), numpy.cos(lat1*p)*numpy.sin(lat2*p)-numpy.sin(lat1*p)*numpy.cos(lat2*p)*numpy.cos((lon2-lon1)*p)) |
|
|
35 | 36 | theta = -theta + numpy.pi/2 |
|
|
36 | 37 | return r*numpy.cos(theta), r*numpy.sin(theta) |
|
|
37 | 38 | |
|
|
38 | 39 | def km2deg(km): |
|
|
39 | 40 | ''' |
|
|
40 | 41 | Convert distance in km to degrees |
|
|
41 | 42 | ''' |
|
|
42 | 43 | |
|
|
43 | 44 | return numpy.rad2deg(km/EARTH_RADIUS) |
|
|
44 | 45 | |
|
|
45 | 46 | def figpause(interval): |
|
|
46 | 47 | backend = plt.rcParams['backend'] |
|
|
47 | 48 | if backend in matplotlib.rcsetup.interactive_bk: |
|
|
48 | 49 | figManager = matplotlib._pylab_helpers.Gcf.get_active() |
|
|
49 | 50 | if figManager is not None: |
|
|
50 | 51 | canvas = figManager.canvas |
|
|
51 | 52 | if canvas.figure.stale: |
|
|
52 | 53 | canvas.draw() |
|
|
53 | 54 | canvas.start_event_loop(interval) |
|
|
54 | 55 | return |
|
|
55 | 56 | |
|
|
56 | 57 | |
|
|
57 | 58 | class PlotData(Operation, Process): |
|
|
58 | 59 | ''' |
|
|
59 | 60 | Base class for Schain plotting operations |
|
|
60 | 61 | ''' |
|
|
61 | 62 | |
|
|
62 | 63 | CODE = 'Figure' |
|
|
63 | 64 | colormap = 'jro' |
|
|
64 | 65 | bgcolor = 'white' |
|
|
65 | 66 | CONFLATE = False |
|
|
66 | 67 | __missing = 1E30 |
|
|
67 | 68 | |
|
|
68 | 69 | __attrs__ = ['show', 'save', 'xmin', 'xmax', 'ymin', 'ymax', 'zmin', 'zmax', |
|
|
69 | 70 | 'zlimits', 'xlabel', 'ylabel', 'xaxis','cb_label', 'title', |
|
|
70 | 71 | 'colorbar', 'bgcolor', 'width', 'height', 'localtime', 'oneFigure', |
|
|
71 | 72 | 'showprofile', 'decimation', 'ftp'] |
|
|
72 | 73 | |
|
|
73 | 74 | def __init__(self, **kwargs): |
|
|
74 | 75 | |
|
|
75 | 76 | Operation.__init__(self, plot=True, **kwargs) |
|
|
76 | 77 | Process.__init__(self) |
|
|
77 | 78 | |
|
|
78 | 79 | self.kwargs['code'] = self.CODE |
|
|
79 | 80 | self.mp = False |
|
|
80 | 81 | self.data = None |
|
|
81 | 82 | self.isConfig = False |
|
|
82 | 83 | self.figures = [] |
|
|
83 | 84 | self.axes = [] |
|
|
84 | 85 | self.cb_axes = [] |
|
|
85 | 86 | self.localtime = kwargs.pop('localtime', True) |
|
|
86 | 87 | self.show = kwargs.get('show', True) |
|
|
87 | 88 | self.save = kwargs.get('save', False) |
|
|
88 | 89 | self.ftp = kwargs.get('ftp', False) |
|
|
89 | 90 | self.colormap = kwargs.get('colormap', self.colormap) |
|
|
90 | 91 | self.colormap_coh = kwargs.get('colormap_coh', 'jet') |
|
|
91 | 92 | self.colormap_phase = kwargs.get('colormap_phase', 'RdBu_r') |
|
|
92 | 93 | self.colormaps = kwargs.get('colormaps', None) |
|
|
93 | 94 | self.bgcolor = kwargs.get('bgcolor', self.bgcolor) |
|
|
94 | 95 | self.showprofile = kwargs.get('showprofile', False) |
|
|
95 | 96 | self.title = kwargs.get('wintitle', self.CODE.upper()) |
|
|
96 | 97 | self.cb_label = kwargs.get('cb_label', None) |
|
|
97 | 98 | self.cb_labels = kwargs.get('cb_labels', None) |
|
|
98 | 99 | self.labels = kwargs.get('labels', None) |
|
|
99 | 100 | self.xaxis = kwargs.get('xaxis', 'frequency') |
|
|
100 | 101 | self.zmin = kwargs.get('zmin', None) |
|
|
101 | 102 | self.zmax = kwargs.get('zmax', None) |
|
|
102 | 103 | self.zlimits = kwargs.get('zlimits', None) |
|
|
103 | 104 | self.xmin = kwargs.get('xmin', None) |
|
|
104 | 105 | self.xmax = kwargs.get('xmax', None) |
|
|
105 | 106 | self.xrange = kwargs.get('xrange', 24) |
|
|
106 | 107 | self.xscale = kwargs.get('xscale', None) |
|
|
107 | 108 | self.ymin = kwargs.get('ymin', None) |
|
|
108 | 109 | self.ymax = kwargs.get('ymax', None) |
|
|
109 | 110 | self.yscale = kwargs.get('yscale', None) |
|
|
110 | 111 | self.xlabel = kwargs.get('xlabel', None) |
|
|
111 | 112 | self.decimation = kwargs.get('decimation', None) |
|
|
112 | 113 | self.showSNR = kwargs.get('showSNR', False) |
|
|
113 | 114 | self.oneFigure = kwargs.get('oneFigure', True) |
|
|
114 | 115 | self.width = kwargs.get('width', None) |
|
|
115 | 116 | self.height = kwargs.get('height', None) |
|
|
116 | 117 | self.colorbar = kwargs.get('colorbar', True) |
|
|
117 | 118 | self.factors = kwargs.get('factors', [1, 1, 1, 1, 1, 1, 1, 1]) |
|
|
118 | 119 | self.channels = kwargs.get('channels', None) |
|
|
119 | 120 | self.titles = kwargs.get('titles', []) |
|
|
120 | 121 | self.polar = False |
|
|
122 | self.grid = kwargs.get('grid', False) | |
|
|
121 | 123 | |
|
|
122 | 124 | def __fmtTime(self, x, pos): |
|
|
123 | 125 | ''' |
|
|
124 | 126 | ''' |
|
|
125 | 127 | |
|
|
126 | 128 | return '{}'.format(self.getDateTime(x).strftime('%H:%M')) |
|
|
127 | 129 | |
|
|
128 | 130 | def __setup(self): |
|
|
129 | 131 | ''' |
|
|
130 | 132 | Common setup for all figures, here figures and axes are created |
|
|
131 | 133 | ''' |
|
|
132 | 134 | |
|
|
133 | 135 | if self.CODE not in self.data: |
|
|
134 | 136 | raise ValueError(log.error('Missing data for {}'.format(self.CODE), |
|
|
135 | 137 | self.name)) |
|
|
136 | 138 | |
|
|
137 | 139 | self.setup() |
|
|
138 | 140 | |
|
|
139 | 141 | self.time_label = 'LT' if self.localtime else 'UTC' |
|
|
140 | 142 | if self.data.localtime: |
|
|
141 | 143 | self.getDateTime = datetime.datetime.fromtimestamp |
|
|
142 | 144 | else: |
|
|
143 | 145 | self.getDateTime = datetime.datetime.utcfromtimestamp |
|
|
144 | 146 | |
|
|
145 | 147 | if self.width is None: |
|
|
146 | 148 | self.width = 8 |
|
|
147 | 149 | |
|
|
148 | 150 | self.figures = [] |
|
|
149 | 151 | self.axes = [] |
|
|
150 | 152 | self.cb_axes = [] |
|
|
151 | 153 | self.pf_axes = [] |
|
|
152 | 154 | self.cmaps = [] |
|
|
153 | 155 | |
|
|
154 | 156 | size = '15%' if self.ncols == 1 else '30%' |
|
|
155 | 157 | pad = '4%' if self.ncols == 1 else '8%' |
|
|
156 | 158 | |
|
|
157 | 159 | if self.oneFigure: |
|
|
158 | 160 | if self.height is None: |
|
|
159 | 161 | self.height = 1.4 * self.nrows + 1 |
|
|
160 | 162 | fig = plt.figure(figsize=(self.width, self.height), |
|
|
161 | 163 | edgecolor='k', |
|
|
162 | 164 | facecolor='w') |
|
|
163 | 165 | self.figures.append(fig) |
|
|
164 | 166 | for n in range(self.nplots): |
|
|
165 | 167 | ax = fig.add_subplot(self.nrows, self.ncols, |
|
|
166 | 168 | n + 1, polar=self.polar) |
|
|
167 | 169 | ax.tick_params(labelsize=8) |
|
|
168 | 170 | ax.firsttime = True |
|
|
169 | 171 | ax.index = 0 |
|
|
170 | 172 | ax.press = None |
|
|
171 | 173 | self.axes.append(ax) |
|
|
172 | 174 | if self.showprofile: |
|
|
173 | 175 | cax = self.__add_axes(ax, size=size, pad=pad) |
|
|
174 | 176 | cax.tick_params(labelsize=8) |
|
|
175 | 177 | self.pf_axes.append(cax) |
|
|
176 | 178 | else: |
|
|
177 | 179 | if self.height is None: |
|
|
178 | 180 | self.height = 3 |
|
|
179 | 181 | for n in range(self.nplots): |
|
|
180 | 182 | fig = plt.figure(figsize=(self.width, self.height), |
|
|
181 | 183 | edgecolor='k', |
|
|
182 | 184 | facecolor='w') |
|
|
183 | 185 | ax = fig.add_subplot(1, 1, 1, polar=self.polar) |
|
|
184 | 186 | ax.tick_params(labelsize=8) |
|
|
185 | 187 | ax.firsttime = True |
|
|
186 | 188 | ax.index = 0 |
|
|
187 | 189 | ax.press = None |
|
|
188 | 190 | self.figures.append(fig) |
|
|
189 | 191 | self.axes.append(ax) |
|
|
190 | 192 | if self.showprofile: |
|
|
191 | 193 | cax = self.__add_axes(ax, size=size, pad=pad) |
|
|
192 | 194 | cax.tick_params(labelsize=8) |
|
|
193 | 195 | self.pf_axes.append(cax) |
|
|
194 | 196 | |
|
|
195 | 197 | for n in range(self.nrows): |
|
|
196 | 198 | if self.colormaps is not None: |
|
|
197 | 199 | cmap = plt.get_cmap(self.colormaps[n]) |
|
|
198 | 200 | else: |
|
|
199 | 201 | cmap = plt.get_cmap(self.colormap) |
|
|
200 | 202 | cmap.set_bad(self.bgcolor, 1.) |
|
|
201 | 203 | self.cmaps.append(cmap) |
|
|
202 | 204 | |
|
|
203 | 205 | for fig in self.figures: |
|
|
204 | 206 | fig.canvas.mpl_connect('key_press_event', self.OnKeyPress) |
|
|
205 | 207 | fig.canvas.mpl_connect('scroll_event', self.OnBtnScroll) |
|
|
206 | 208 | fig.canvas.mpl_connect('button_press_event', self.onBtnPress) |
|
|
207 | 209 | fig.canvas.mpl_connect('motion_notify_event', self.onMotion) |
|
|
208 | 210 | fig.canvas.mpl_connect('button_release_event', self.onBtnRelease) |
|
|
209 | 211 | if self.show: |
|
|
210 | 212 | fig.show() |
|
|
211 | 213 | |
|
|
212 | 214 | def OnKeyPress(self, event): |
|
|
213 | 215 | ''' |
|
|
214 | 216 | Event for pressing keys (up, down) change colormap |
|
|
215 | 217 | ''' |
|
|
216 | 218 | ax = event.inaxes |
|
|
217 | 219 | if ax in self.axes: |
|
|
218 | 220 | if event.key == 'down': |
|
|
219 | 221 | ax.index += 1 |
|
|
220 | 222 | elif event.key == 'up': |
|
|
221 | 223 | ax.index -= 1 |
|
|
222 | 224 | if ax.index < 0: |
|
|
223 | 225 | ax.index = len(CMAPS) - 1 |
|
|
224 | 226 | elif ax.index == len(CMAPS): |
|
|
225 | 227 | ax.index = 0 |
|
|
226 | 228 | cmap = CMAPS[ax.index] |
|
|
227 | 229 | ax.cbar.set_cmap(cmap) |
|
|
228 | 230 | ax.cbar.draw_all() |
|
|
229 | 231 | ax.plt.set_cmap(cmap) |
|
|
230 | 232 | ax.cbar.patch.figure.canvas.draw() |
|
|
231 | 233 | self.colormap = cmap.name |
|
|
232 | 234 | |
|
|
233 | 235 | def OnBtnScroll(self, event): |
|
|
234 | 236 | ''' |
|
|
235 | 237 | Event for scrolling, scale figure |
|
|
236 | 238 | ''' |
|
|
237 | 239 | cb_ax = event.inaxes |
|
|
238 | 240 | if cb_ax in [ax.cbar.ax for ax in self.axes if ax.cbar]: |
|
|
239 | 241 | ax = [ax for ax in self.axes if cb_ax == ax.cbar.ax][0] |
|
|
240 | 242 | pt = ax.cbar.ax.bbox.get_points()[:, 1] |
|
|
241 | 243 | nrm = ax.cbar.norm |
|
|
242 | 244 | vmin, vmax, p0, p1, pS = ( |
|
|
243 | 245 | nrm.vmin, nrm.vmax, pt[0], pt[1], event.y) |
|
|
244 | 246 | scale = 2 if event.step == 1 else 0.5 |
|
|
245 | 247 | point = vmin + (vmax - vmin) / (p1 - p0) * (pS - p0) |
|
|
246 | 248 | ax.cbar.norm.vmin = point - scale * (point - vmin) |
|
|
247 | 249 | ax.cbar.norm.vmax = point - scale * (point - vmax) |
|
|
248 | 250 | ax.plt.set_norm(ax.cbar.norm) |
|
|
249 | 251 | ax.cbar.draw_all() |
|
|
250 | 252 | ax.cbar.patch.figure.canvas.draw() |
|
|
251 | 253 | |
|
|
252 | 254 | def onBtnPress(self, event): |
|
|
253 | 255 | ''' |
|
|
254 | 256 | Event for mouse button press |
|
|
255 | 257 | ''' |
|
|
256 | 258 | cb_ax = event.inaxes |
|
|
257 | 259 | if cb_ax is None: |
|
|
258 | 260 | return |
|
|
259 | 261 | |
|
|
260 | 262 | if cb_ax in [ax.cbar.ax for ax in self.axes if ax.cbar]: |
|
|
261 | 263 | cb_ax.press = event.x, event.y |
|
|
262 | 264 | else: |
|
|
263 | 265 | cb_ax.press = None |
|
|
264 | 266 | |
|
|
265 | 267 | def onMotion(self, event): |
|
|
266 | 268 | ''' |
|
|
267 | 269 | Event for move inside colorbar |
|
|
268 | 270 | ''' |
|
|
269 | 271 | cb_ax = event.inaxes |
|
|
270 | 272 | if cb_ax is None: |
|
|
271 | 273 | return |
|
|
272 | 274 | if cb_ax not in [ax.cbar.ax for ax in self.axes if ax.cbar]: |
|
|
273 | 275 | return |
|
|
274 | 276 | if cb_ax.press is None: |
|
|
275 | 277 | return |
|
|
276 | 278 | |
|
|
277 | 279 | ax = [ax for ax in self.axes if cb_ax == ax.cbar.ax][0] |
|
|
278 | 280 | xprev, yprev = cb_ax.press |
|
|
279 | 281 | dx = event.x - xprev |
|
|
280 | 282 | dy = event.y - yprev |
|
|
281 | 283 | cb_ax.press = event.x, event.y |
|
|
282 | 284 | scale = ax.cbar.norm.vmax - ax.cbar.norm.vmin |
|
|
283 | 285 | perc = 0.03 |
|
|
284 | 286 | |
|
|
285 | 287 | if event.button == 1: |
|
|
286 | 288 | ax.cbar.norm.vmin -= (perc * scale) * numpy.sign(dy) |
|
|
287 | 289 | ax.cbar.norm.vmax -= (perc * scale) * numpy.sign(dy) |
|
|
288 | 290 | elif event.button == 3: |
|
|
289 | 291 | ax.cbar.norm.vmin -= (perc * scale) * numpy.sign(dy) |
|
|
290 | 292 | ax.cbar.norm.vmax += (perc * scale) * numpy.sign(dy) |
|
|
291 | 293 | |
|
|
292 | 294 | ax.cbar.draw_all() |
|
|
293 | 295 | ax.plt.set_norm(ax.cbar.norm) |
|
|
294 | 296 | ax.cbar.patch.figure.canvas.draw() |
|
|
295 | 297 | |
|
|
296 | 298 | def onBtnRelease(self, event): |
|
|
297 | 299 | ''' |
|
|
298 | 300 | Event for mouse button release |
|
|
299 | 301 | ''' |
|
|
300 | 302 | cb_ax = event.inaxes |
|
|
301 | 303 | if cb_ax is not None: |
|
|
302 | 304 | cb_ax.press = None |
|
|
303 | 305 | |
|
|
304 | 306 | def __add_axes(self, ax, size='30%', pad='8%'): |
|
|
305 | 307 | ''' |
|
|
306 | 308 | Add new axes to the given figure |
|
|
307 | 309 | ''' |
|
|
308 | 310 | divider = make_axes_locatable(ax) |
|
|
309 | 311 | nax = divider.new_horizontal(size=size, pad=pad) |
|
|
310 | 312 | ax.figure.add_axes(nax) |
|
|
311 | 313 | return nax |
|
|
312 | 314 | |
|
|
313 | 315 | self.setup() |
|
|
314 | 316 | |
|
|
315 | 317 | def setup(self): |
|
|
316 | 318 | ''' |
|
|
317 | 319 | This method should be implemented in the child class, the following |
|
|
318 | 320 | attributes should be set: |
|
|
319 | 321 | |
|
|
320 | 322 | self.nrows: number of rows |
|
|
321 | 323 | self.ncols: number of cols |
|
|
322 | 324 | self.nplots: number of plots (channels or pairs) |
|
|
323 | 325 | self.ylabel: label for Y axes |
|
|
324 | 326 | self.titles: list of axes title |
|
|
325 | 327 | |
|
|
326 | 328 | ''' |
|
|
327 | 329 | raise(NotImplementedError, 'Implement this method in child class') |
|
|
328 | 330 | |
|
|
329 | 331 | def fill_gaps(self, x_buffer, y_buffer, z_buffer): |
|
|
330 | 332 | ''' |
|
|
331 | 333 | Create a masked array for missing data |
|
|
332 | 334 | ''' |
|
|
333 | 335 | if x_buffer.shape[0] < 2: |
|
|
334 | 336 | return x_buffer, y_buffer, z_buffer |
|
|
335 | 337 | |
|
|
336 | 338 | deltas = x_buffer[1:] - x_buffer[0:-1] |
|
|
337 | 339 | x_median = numpy.median(deltas) |
|
|
338 | 340 | |
|
|
339 | 341 | index = numpy.where(deltas > 5 * x_median) |
|
|
340 | 342 | |
|
|
341 | 343 | if len(index[0]) != 0: |
|
|
342 | 344 | z_buffer[::, index[0], ::] = self.__missing |
|
|
343 | 345 | z_buffer = numpy.ma.masked_inside(z_buffer, |
|
|
344 | 346 | 0.99 * self.__missing, |
|
|
345 | 347 | 1.01 * self.__missing) |
|
|
346 | 348 | |
|
|
347 | 349 | return x_buffer, y_buffer, z_buffer |
|
|
348 | 350 | |
|
|
349 | 351 | def decimate(self): |
|
|
350 | 352 | |
|
|
351 | 353 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 |
|
|
352 | 354 | dy = int(len(self.y) / self.decimation) + 1 |
|
|
353 | 355 | |
|
|
354 | 356 | # x = self.x[::dx] |
|
|
355 | 357 | x = self.x |
|
|
356 | 358 | y = self.y[::dy] |
|
|
357 | 359 | z = self.z[::, ::, ::dy] |
|
|
358 | 360 | |
|
|
359 | 361 | return x, y, z |
|
|
360 | 362 | |
|
|
361 | 363 | def format(self): |
|
|
362 | 364 | ''' |
|
|
363 | 365 | Set min and max values, labels, ticks and titles |
|
|
364 | 366 | ''' |
|
|
365 | 367 | |
|
|
366 | 368 | if self.xmin is None: |
|
|
367 | 369 | xmin = self.min_time |
|
|
368 | 370 | else: |
|
|
369 | 371 | if self.xaxis is 'time': |
|
|
370 | 372 | dt = self.getDateTime(self.min_time) |
|
|
371 | 373 | xmin = (dt.replace(hour=int(self.xmin), minute=0, second=0) - |
|
|
372 | 374 | datetime.datetime(1970, 1, 1)).total_seconds() |
|
|
373 | 375 | if self.data.localtime: |
|
|
374 | 376 | xmin += time.timezone |
|
|
375 | 377 | else: |
|
|
376 | 378 | xmin = self.xmin |
|
|
377 | 379 | |
|
|
378 | 380 | if self.xmax is None: |
|
|
379 | 381 | xmax = xmin + self.xrange * 60 * 60 |
|
|
380 | 382 | else: |
|
|
381 | 383 | if self.xaxis is 'time': |
|
|
382 | 384 | dt = self.getDateTime(self.max_time) |
|
|
383 | 385 | xmax = (dt.replace(hour=int(self.xmax), minute=59, second=59) - |
|
|
384 | 386 | datetime.datetime(1970, 1, 1) + datetime.timedelta(seconds=1)).total_seconds() |
|
|
385 | 387 | if self.data.localtime: |
|
|
386 | 388 | xmax += time.timezone |
|
|
387 | 389 | else: |
|
|
388 | 390 | xmax = self.xmax |
|
|
389 | 391 | |
|
|
390 | 392 | ymin = self.ymin if self.ymin else numpy.nanmin(self.y) |
|
|
391 | 393 | ymax = self.ymax if self.ymax else numpy.nanmax(self.y) |
|
|
392 | 394 | |
|
|
393 | 395 | Y = numpy.array([1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000, 5000]) |
|
|
394 | 396 | i = 1 if numpy.where(abs(ymax-ymin) <= Y)[0][0] < 0 else numpy.where(abs(ymax-ymin) <= Y)[0][0] |
|
|
395 |
ystep = Y[i] / |
|
|
|
397 | ystep = Y[i] / 10. | |
|
|
396 | 398 | |
|
|
397 | 399 | for n, ax in enumerate(self.axes): |
|
|
398 | 400 | if ax.firsttime: |
|
|
399 | 401 | ax.set_facecolor(self.bgcolor) |
|
|
400 | 402 | ax.yaxis.set_major_locator(MultipleLocator(ystep)) |
|
|
401 | 403 | ax.xaxis.set_major_locator(MultipleLocator(ystep)) |
|
|
402 | 404 | if self.xscale: |
|
|
403 | 405 | ax.xaxis.set_major_formatter(FuncFormatter(lambda x, pos: '{0:g}'.format(x*self.xscale))) |
|
|
404 | 406 | if self.xscale: |
|
|
405 | 407 | ax.yaxis.set_major_formatter(FuncFormatter(lambda x, pos: '{0:g}'.format(x*self.yscale))) |
|
|
406 | 408 | if self.xaxis is 'time': |
|
|
407 | 409 | ax.xaxis.set_major_formatter(FuncFormatter(self.__fmtTime)) |
|
|
408 | 410 | ax.xaxis.set_major_locator(LinearLocator(9)) |
|
|
409 | 411 | if self.xlabel is not None: |
|
|
410 | 412 | ax.set_xlabel(self.xlabel) |
|
|
411 | 413 | ax.set_ylabel(self.ylabel) |
|
|
412 | 414 | ax.firsttime = False |
|
|
413 | 415 | if self.showprofile: |
|
|
414 | 416 | self.pf_axes[n].set_ylim(ymin, ymax) |
|
|
415 | 417 | self.pf_axes[n].set_xlim(self.zmin, self.zmax) |
|
|
416 | 418 | self.pf_axes[n].set_xlabel('dB') |
|
|
417 | 419 | self.pf_axes[n].grid(b=True, axis='x') |
|
|
418 | 420 | [tick.set_visible(False) |
|
|
419 | 421 | for tick in self.pf_axes[n].get_yticklabels()] |
|
|
420 | 422 | if self.colorbar: |
|
|
421 | 423 | ax.cbar = plt.colorbar( |
|
|
422 | 424 | ax.plt, ax=ax, fraction=0.05, pad=0.02, aspect=10) |
|
|
423 | 425 | ax.cbar.ax.tick_params(labelsize=8) |
|
|
424 | 426 | ax.cbar.ax.press = None |
|
|
425 | 427 | if self.cb_label: |
|
|
426 | 428 | ax.cbar.set_label(self.cb_label, size=8) |
|
|
427 | 429 | elif self.cb_labels: |
|
|
428 | 430 | ax.cbar.set_label(self.cb_labels[n], size=8) |
|
|
429 | 431 | else: |
|
|
430 | 432 | ax.cbar = None |
|
|
433 | if self.grid: | |
|
|
434 | ax.grid(True) | |
|
|
431 | 435 | |
|
|
432 | 436 | if not self.polar: |
|
|
433 | 437 | ax.set_xlim(xmin, xmax) |
|
|
434 | 438 | ax.set_ylim(ymin, ymax) |
|
|
435 | 439 | ax.set_title('{} {} {}'.format( |
|
|
436 | 440 | self.titles[n], |
|
|
437 | 441 | self.getDateTime(self.max_time).strftime('%Y-%m-%dT%H:%M:%S'), |
|
|
438 | 442 | self.time_label), |
|
|
439 | 443 | size=8) |
|
|
440 | 444 | else: |
|
|
441 | 445 | ax.set_title('{}'.format(self.titles[n]), size=8) |
|
|
442 | 446 | ax.set_ylim(0, 90) |
|
|
443 | 447 | ax.set_yticks(numpy.arange(0, 90, 20)) |
|
|
444 | 448 | ax.yaxis.labelpad = 40 |
|
|
445 | 449 | |
|
|
446 | 450 | def __plot(self): |
|
|
447 | 451 | ''' |
|
|
448 | 452 | ''' |
|
|
449 | 453 | log.log('Plotting', self.name) |
|
|
450 | 454 | |
|
|
451 | 455 | try: |
|
|
452 | 456 | self.plot() |
|
|
453 | 457 | self.format() |
|
|
454 | 458 | except Exception as e: |
|
|
455 | 459 | log.warning('{} Plot could not be updated... check data'.format(self.CODE), self.name) |
|
|
456 | 460 | log.error(str(e), '') |
|
|
457 | 461 | return |
|
|
458 | 462 | |
|
|
459 | 463 | for n, fig in enumerate(self.figures): |
|
|
460 | 464 | if self.nrows == 0 or self.nplots == 0: |
|
|
461 | 465 | log.warning('No data', self.name) |
|
|
462 | 466 | fig.text(0.5, 0.5, 'No Data', fontsize='large', ha='center') |
|
|
463 | 467 | fig.canvas.manager.set_window_title(self.CODE) |
|
|
464 | 468 | continue |
|
|
465 | 469 | |
|
|
466 | 470 | fig.tight_layout() |
|
|
467 | 471 | fig.canvas.manager.set_window_title('{} - {}'.format(self.title, |
|
|
468 | 472 | self.getDateTime(self.max_time).strftime('%Y/%m/%d'))) |
|
|
469 | 473 | fig.canvas.draw() |
|
|
470 | 474 | |
|
|
471 | 475 | if self.save and (self.data.ended or not self.data.buffering): |
|
|
472 | 476 | |
|
|
473 | 477 | if self.save_labels: |
|
|
474 | 478 | labels = self.save_labels |
|
|
475 | 479 | else: |
|
|
476 | 480 | labels = range(self.nrows) |
|
|
477 | 481 | |
|
|
478 | 482 | if self.oneFigure: |
|
|
479 | 483 | label = '' |
|
|
480 | 484 | else: |
|
|
481 | 485 | label = '-{}'.format(labels[n]) |
|
|
482 | 486 | figname = os.path.join( |
|
|
483 | 487 | self.save, |
|
|
484 | 488 | self.CODE, |
|
|
485 | 489 | '{}{}_{}.png'.format( |
|
|
486 | 490 | self.CODE, |
|
|
487 | 491 | label, |
|
|
488 | 492 | self.getDateTime(self.saveTime).strftime( |
|
|
489 | 493 | '%Y%m%d_%H%M%S'), |
|
|
490 | 494 | ) |
|
|
491 | 495 | ) |
|
|
492 | 496 | log.log('Saving figure: {}'.format(figname), self.name) |
|
|
493 | 497 | if not os.path.isdir(os.path.dirname(figname)): |
|
|
494 | 498 | os.makedirs(os.path.dirname(figname)) |
|
|
495 | 499 | fig.savefig(figname) |
|
|
496 | 500 | |
|
|
497 | 501 | def plot(self): |
|
|
498 | 502 | ''' |
|
|
499 | 503 | ''' |
|
|
500 | 504 | raise(NotImplementedError, 'Implement this method in child class') |
|
|
501 | 505 | |
|
|
502 | 506 | def run(self): |
|
|
503 | 507 | |
|
|
504 | 508 | log.log('Starting', self.name) |
|
|
505 | 509 | |
|
|
506 | 510 | context = zmq.Context() |
|
|
507 | 511 | receiver = context.socket(zmq.SUB) |
|
|
508 | 512 | receiver.setsockopt(zmq.SUBSCRIBE, '') |
|
|
509 | 513 | receiver.setsockopt(zmq.CONFLATE, self.CONFLATE) |
|
|
510 | 514 | |
|
|
511 | 515 | if 'server' in self.kwargs['parent']: |
|
|
512 | 516 | receiver.connect( |
|
|
513 | 517 | 'ipc:///tmp/{}.plots'.format(self.kwargs['parent']['server'])) |
|
|
514 | 518 | else: |
|
|
515 | 519 | receiver.connect("ipc:///tmp/zmq.plots") |
|
|
516 | 520 | |
|
|
517 | 521 | while True: |
|
|
518 | 522 | try: |
|
|
519 | 523 | self.data = receiver.recv_pyobj(flags=zmq.NOBLOCK) |
|
|
520 | 524 | if self.data.localtime and self.localtime: |
|
|
521 | 525 | self.times = self.data.times |
|
|
522 | 526 | elif self.data.localtime and not self.localtime: |
|
|
523 | 527 | self.times = self.data.times + time.timezone |
|
|
524 | 528 | elif not self.data.localtime and self.localtime: |
|
|
525 | 529 | self.times = self.data.times - time.timezone |
|
|
526 | 530 | else: |
|
|
527 | 531 | self.times = self.data.times |
|
|
528 | 532 | |
|
|
529 | 533 | self.min_time = self.times[0] |
|
|
530 | 534 | self.max_time = self.times[-1] |
|
|
531 | 535 | |
|
|
532 | 536 | if self.isConfig is False: |
|
|
533 | 537 | self.__setup() |
|
|
534 | 538 | self.isConfig = True |
|
|
535 | 539 | |
|
|
536 | 540 | self.__plot() |
|
|
537 | 541 | |
|
|
538 | 542 | except zmq.Again as e: |
|
|
539 | 543 | # log.log('.', tag='', nl=False) |
|
|
540 | 544 | if self.data: |
|
|
541 | 545 | figpause(self.data.throttle) |
|
|
542 | 546 | else: |
|
|
543 | 547 | time.sleep(2) |
|
|
544 | 548 | |
|
|
545 | 549 | def close(self): |
|
|
546 | 550 | if self.data: |
|
|
547 | 551 | self.__plot() |
|
|
548 | 552 | |
|
|
549 | 553 | |
|
|
550 | 554 | class PlotSpectraData(PlotData): |
|
|
551 | 555 | ''' |
|
|
552 | 556 | Plot for Spectra data |
|
|
553 | 557 | ''' |
|
|
554 | 558 | |
|
|
555 | 559 | CODE = 'spc' |
|
|
556 | 560 | colormap = 'jro' |
|
|
557 | 561 | |
|
|
558 | 562 | def setup(self): |
|
|
559 | 563 | self.nplots = len(self.data.channels) |
|
|
560 | 564 | self.ncols = int(numpy.sqrt(self.nplots) + 0.9) |
|
|
561 | 565 | self.nrows = int((1.0 * self.nplots / self.ncols) + 0.9) |
|
|
562 | 566 | self.width = 3.4 * self.ncols |
|
|
563 | 567 | self.height = 3 * self.nrows |
|
|
564 | 568 | self.cb_label = 'dB' |
|
|
565 | 569 | if self.showprofile: |
|
|
566 | 570 | self.width += 0.8 * self.ncols |
|
|
567 | 571 | |
|
|
568 | 572 | self.ylabel = 'Range [km]' |
|
|
569 | 573 | |
|
|
570 | 574 | def plot(self): |
|
|
571 | 575 | if self.xaxis == "frequency": |
|
|
572 | 576 | x = self.data.xrange[0] |
|
|
573 | 577 | self.xlabel = "Frequency (kHz)" |
|
|
574 | 578 | elif self.xaxis == "time": |
|
|
575 | 579 | x = self.data.xrange[1] |
|
|
576 | 580 | self.xlabel = "Time (ms)" |
|
|
577 | 581 | else: |
|
|
578 | 582 | x = self.data.xrange[2] |
|
|
579 | 583 | self.xlabel = "Velocity (m/s)" |
|
|
580 | 584 | |
|
|
581 | 585 | if self.CODE == 'spc_mean': |
|
|
582 | 586 | x = self.data.xrange[2] |
|
|
583 | 587 | self.xlabel = "Velocity (m/s)" |
|
|
584 | 588 | |
|
|
585 | 589 | self.titles = [] |
|
|
586 | 590 | |
|
|
587 | 591 | y = self.data.heights |
|
|
588 | 592 | self.y = y |
|
|
589 | 593 | z = self.data['spc'] |
|
|
590 | 594 | |
|
|
591 | 595 | for n, ax in enumerate(self.axes): |
|
|
592 | 596 | noise = self.data['noise'][n][-1] |
|
|
593 | 597 | if self.CODE == 'spc_mean': |
|
|
594 | 598 | mean = self.data['mean'][n][-1] |
|
|
595 | 599 | if ax.firsttime: |
|
|
596 | 600 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) |
|
|
597 | 601 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
|
598 | 602 | self.zmin = self.zmin if self.zmin else numpy.nanmin(z) |
|
|
599 | 603 | self.zmax = self.zmax if self.zmax else numpy.nanmax(z) |
|
|
600 | 604 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
|
601 | 605 | vmin=self.zmin, |
|
|
602 | 606 | vmax=self.zmax, |
|
|
603 | 607 | cmap=plt.get_cmap(self.colormap) |
|
|
604 | 608 | ) |
|
|
605 | 609 | |
|
|
606 | 610 | if self.showprofile: |
|
|
607 | 611 | ax.plt_profile = self.pf_axes[n].plot( |
|
|
608 | 612 | self.data['rti'][n][-1], y)[0] |
|
|
609 | 613 | ax.plt_noise = self.pf_axes[n].plot(numpy.repeat(noise, len(y)), y, |
|
|
610 | 614 | color="k", linestyle="dashed", lw=1)[0] |
|
|
611 | 615 | if self.CODE == 'spc_mean': |
|
|
612 | 616 | ax.plt_mean = ax.plot(mean, y, color='k')[0] |
|
|
613 | 617 | else: |
|
|
614 | 618 | ax.plt.set_array(z[n].T.ravel()) |
|
|
615 | 619 | if self.showprofile: |
|
|
616 | 620 | ax.plt_profile.set_data(self.data['rti'][n][-1], y) |
|
|
617 | 621 | ax.plt_noise.set_data(numpy.repeat(noise, len(y)), y) |
|
|
618 | 622 | if self.CODE == 'spc_mean': |
|
|
619 | 623 | ax.plt_mean.set_data(mean, y) |
|
|
620 | 624 | |
|
|
621 | 625 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) |
|
|
622 | 626 | self.saveTime = self.max_time |
|
|
623 | 627 | |
|
|
624 | 628 | |
|
|
625 | 629 | class PlotCrossSpectraData(PlotData): |
|
|
626 | 630 | |
|
|
627 | 631 | CODE = 'cspc' |
|
|
628 | 632 | zmin_coh = None |
|
|
629 | 633 | zmax_coh = None |
|
|
630 | 634 | zmin_phase = None |
|
|
631 | 635 | zmax_phase = None |
|
|
632 | 636 | |
|
|
633 | 637 | def setup(self): |
|
|
634 | 638 | |
|
|
635 | 639 | self.ncols = 4 |
|
|
636 | 640 | self.nrows = len(self.data.pairs) |
|
|
637 | 641 | self.nplots = self.nrows * 4 |
|
|
638 | 642 | self.width = 3.4 * self.ncols |
|
|
639 | 643 | self.height = 3 * self.nrows |
|
|
640 | 644 | self.ylabel = 'Range [km]' |
|
|
641 | 645 | self.showprofile = False |
|
|
642 | 646 | |
|
|
643 | 647 | def plot(self): |
|
|
644 | 648 | |
|
|
645 | 649 | if self.xaxis == "frequency": |
|
|
646 | 650 | x = self.data.xrange[0] |
|
|
647 | 651 | self.xlabel = "Frequency (kHz)" |
|
|
648 | 652 | elif self.xaxis == "time": |
|
|
649 | 653 | x = self.data.xrange[1] |
|
|
650 | 654 | self.xlabel = "Time (ms)" |
|
|
651 | 655 | else: |
|
|
652 | 656 | x = self.data.xrange[2] |
|
|
653 | 657 | self.xlabel = "Velocity (m/s)" |
|
|
654 | 658 | |
|
|
655 | 659 | self.titles = [] |
|
|
656 | 660 | |
|
|
657 | 661 | y = self.data.heights |
|
|
658 | 662 | self.y = y |
|
|
659 | 663 | spc = self.data['spc'] |
|
|
660 | 664 | cspc = self.data['cspc'] |
|
|
661 | 665 | |
|
|
662 | 666 | for n in range(self.nrows): |
|
|
663 | 667 | noise = self.data['noise'][n][-1] |
|
|
664 | 668 | pair = self.data.pairs[n] |
|
|
665 | 669 | ax = self.axes[4 * n] |
|
|
666 | 670 | ax3 = self.axes[4 * n + 3] |
|
|
667 | 671 | if ax.firsttime: |
|
|
668 | 672 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) |
|
|
669 | 673 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
|
670 | 674 | self.zmin = self.zmin if self.zmin else numpy.nanmin(spc) |
|
|
671 | 675 | self.zmax = self.zmax if self.zmax else numpy.nanmax(spc) |
|
|
672 | 676 | ax.plt = ax.pcolormesh(x, y, spc[pair[0]].T, |
|
|
673 | 677 | vmin=self.zmin, |
|
|
674 | 678 | vmax=self.zmax, |
|
|
675 | 679 | cmap=plt.get_cmap(self.colormap) |
|
|
676 | 680 | ) |
|
|
677 | 681 | else: |
|
|
678 | 682 | ax.plt.set_array(spc[pair[0]].T.ravel()) |
|
|
679 | 683 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) |
|
|
680 | 684 | |
|
|
681 | 685 | ax = self.axes[4 * n + 1] |
|
|
682 | 686 | if ax.firsttime: |
|
|
683 | 687 | ax.plt = ax.pcolormesh(x, y, spc[pair[1]].T, |
|
|
684 | 688 | vmin=self.zmin, |
|
|
685 | 689 | vmax=self.zmax, |
|
|
686 | 690 | cmap=plt.get_cmap(self.colormap) |
|
|
687 | 691 | ) |
|
|
688 | 692 | else: |
|
|
689 | 693 | ax.plt.set_array(spc[pair[1]].T.ravel()) |
|
|
690 | 694 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) |
|
|
691 | 695 | |
|
|
692 | 696 | out = cspc[n] / numpy.sqrt(spc[pair[0]] * spc[pair[1]]) |
|
|
693 | 697 | coh = numpy.abs(out) |
|
|
694 | 698 | phase = numpy.arctan2(out.imag, out.real) * 180 / numpy.pi |
|
|
695 | 699 | |
|
|
696 | 700 | ax = self.axes[4 * n + 2] |
|
|
697 | 701 | if ax.firsttime: |
|
|
698 | 702 | ax.plt = ax.pcolormesh(x, y, coh.T, |
|
|
699 | 703 | vmin=0, |
|
|
700 | 704 | vmax=1, |
|
|
701 | 705 | cmap=plt.get_cmap(self.colormap_coh) |
|
|
702 | 706 | ) |
|
|
703 | 707 | else: |
|
|
704 | 708 | ax.plt.set_array(coh.T.ravel()) |
|
|
705 | 709 | self.titles.append( |
|
|
706 | 710 | 'Coherence Ch{} * Ch{}'.format(pair[0], pair[1])) |
|
|
707 | 711 | |
|
|
708 | 712 | ax = self.axes[4 * n + 3] |
|
|
709 | 713 | if ax.firsttime: |
|
|
710 | 714 | ax.plt = ax.pcolormesh(x, y, phase.T, |
|
|
711 | 715 | vmin=-180, |
|
|
712 | 716 | vmax=180, |
|
|
713 | 717 | cmap=plt.get_cmap(self.colormap_phase) |
|
|
714 | 718 | ) |
|
|
715 | 719 | else: |
|
|
716 | 720 | ax.plt.set_array(phase.T.ravel()) |
|
|
717 | 721 | self.titles.append('Phase CH{} * CH{}'.format(pair[0], pair[1])) |
|
|
718 | 722 | |
|
|
719 | 723 | self.saveTime = self.max_time |
|
|
720 | 724 | |
|
|
721 | 725 | |
|
|
722 | 726 | class PlotSpectraMeanData(PlotSpectraData): |
|
|
723 | 727 | ''' |
|
|
724 | 728 | Plot for Spectra and Mean |
|
|
725 | 729 | ''' |
|
|
726 | 730 | CODE = 'spc_mean' |
|
|
727 | 731 | colormap = 'jro' |
|
|
728 | 732 | |
|
|
729 | 733 | |
|
|
730 | 734 | class PlotRTIData(PlotData): |
|
|
731 | 735 | ''' |
|
|
732 | 736 | Plot for RTI data |
|
|
733 | 737 | ''' |
|
|
734 | 738 | |
|
|
735 | 739 | CODE = 'rti' |
|
|
736 | 740 | colormap = 'jro' |
|
|
737 | 741 | |
|
|
738 | 742 | def setup(self): |
|
|
739 | 743 | self.xaxis = 'time' |
|
|
740 | 744 | self.ncols = 1 |
|
|
741 | 745 | self.nrows = len(self.data.channels) |
|
|
742 | 746 | self.nplots = len(self.data.channels) |
|
|
743 | 747 | self.ylabel = 'Range [km]' |
|
|
744 | 748 | self.cb_label = 'dB' |
|
|
745 | 749 | self.titles = ['{} Channel {}'.format( |
|
|
746 | 750 | self.CODE.upper(), x) for x in range(self.nrows)] |
|
|
747 | 751 | |
|
|
748 | 752 | def plot(self): |
|
|
749 | 753 | self.x = self.times |
|
|
750 | 754 | self.y = self.data.heights |
|
|
751 | 755 | self.z = self.data[self.CODE] |
|
|
752 | 756 | self.z = numpy.ma.masked_invalid(self.z) |
|
|
753 | 757 | |
|
|
754 | 758 | if self.decimation is None: |
|
|
755 | 759 | x, y, z = self.fill_gaps(self.x, self.y, self.z) |
|
|
756 | 760 | else: |
|
|
757 | 761 | x, y, z = self.fill_gaps(*self.decimate()) |
|
|
758 | 762 | |
|
|
759 | 763 | for n, ax in enumerate(self.axes): |
|
|
760 | 764 | self.zmin = self.zmin if self.zmin else numpy.min(self.z) |
|
|
761 | 765 | self.zmax = self.zmax if self.zmax else numpy.max(self.z) |
|
|
762 | 766 | if ax.firsttime: |
|
|
763 | 767 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
|
764 | 768 | vmin=self.zmin, |
|
|
765 | 769 | vmax=self.zmax, |
|
|
766 | 770 | cmap=plt.get_cmap(self.colormap) |
|
|
767 | 771 | ) |
|
|
768 | 772 | if self.showprofile: |
|
|
769 | 773 | ax.plot_profile = self.pf_axes[n].plot( |
|
|
770 | 774 | self.data['rti'][n][-1], self.y)[0] |
|
|
771 | 775 | ax.plot_noise = self.pf_axes[n].plot(numpy.repeat(self.data['noise'][n][-1], len(self.y)), self.y, |
|
|
772 | 776 | color="k", linestyle="dashed", lw=1)[0] |
|
|
773 | 777 | else: |
|
|
774 | 778 | ax.collections.remove(ax.collections[0]) |
|
|
775 | 779 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
|
776 | 780 | vmin=self.zmin, |
|
|
777 | 781 | vmax=self.zmax, |
|
|
778 | 782 | cmap=plt.get_cmap(self.colormap) |
|
|
779 | 783 | ) |
|
|
780 | 784 | if self.showprofile: |
|
|
781 | 785 | ax.plot_profile.set_data(self.data['rti'][n][-1], self.y) |
|
|
782 | 786 | ax.plot_noise.set_data(numpy.repeat( |
|
|
783 | 787 | self.data['noise'][n][-1], len(self.y)), self.y) |
|
|
784 | 788 | |
|
|
785 | 789 | self.saveTime = self.min_time |
|
|
786 | 790 | |
|
|
787 | 791 | |
|
|
788 | 792 | class PlotCOHData(PlotRTIData): |
|
|
789 | 793 | ''' |
|
|
790 | 794 | Plot for Coherence data |
|
|
791 | 795 | ''' |
|
|
792 | 796 | |
|
|
793 | 797 | CODE = 'coh' |
|
|
794 | 798 | |
|
|
795 | 799 | def setup(self): |
|
|
796 | 800 | self.xaxis = 'time' |
|
|
797 | 801 | self.ncols = 1 |
|
|
798 | 802 | self.nrows = len(self.data.pairs) |
|
|
799 | 803 | self.nplots = len(self.data.pairs) |
|
|
800 | 804 | self.ylabel = 'Range [km]' |
|
|
801 | 805 | if self.CODE == 'coh': |
|
|
802 | 806 | self.cb_label = '' |
|
|
803 | 807 | self.titles = [ |
|
|
804 | 808 | 'Coherence Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] |
|
|
805 | 809 | else: |
|
|
806 | 810 | self.cb_label = 'Degrees' |
|
|
807 | 811 | self.titles = [ |
|
|
808 | 812 | 'Phase Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] |
|
|
809 | 813 | |
|
|
810 | 814 | |
|
|
811 | 815 | class PlotPHASEData(PlotCOHData): |
|
|
812 | 816 | ''' |
|
|
813 | 817 | Plot for Phase map data |
|
|
814 | 818 | ''' |
|
|
815 | 819 | |
|
|
816 | 820 | CODE = 'phase' |
|
|
817 | 821 | colormap = 'seismic' |
|
|
818 | 822 | |
|
|
819 | 823 | |
|
|
820 | 824 | class PlotNoiseData(PlotData): |
|
|
821 | 825 | ''' |
|
|
822 | 826 | Plot for noise |
|
|
823 | 827 | ''' |
|
|
824 | 828 | |
|
|
825 | 829 | CODE = 'noise' |
|
|
826 | 830 | |
|
|
827 | 831 | def setup(self): |
|
|
828 | 832 | self.xaxis = 'time' |
|
|
829 | 833 | self.ncols = 1 |
|
|
830 | 834 | self.nrows = 1 |
|
|
831 | 835 | self.nplots = 1 |
|
|
832 | 836 | self.ylabel = 'Intensity [dB]' |
|
|
833 | 837 | self.titles = ['Noise'] |
|
|
834 | 838 | self.colorbar = False |
|
|
835 | 839 | |
|
|
836 | 840 | def plot(self): |
|
|
837 | 841 | |
|
|
838 | 842 | x = self.times |
|
|
839 | 843 | xmin = self.min_time |
|
|
840 | 844 | xmax = xmin + self.xrange * 60 * 60 |
|
|
841 | 845 | Y = self.data[self.CODE] |
|
|
842 | 846 | |
|
|
843 | 847 | if self.axes[0].firsttime: |
|
|
844 | 848 | for ch in self.data.channels: |
|
|
845 | 849 | y = Y[ch] |
|
|
846 | 850 | self.axes[0].plot(x, y, lw=1, label='Ch{}'.format(ch)) |
|
|
847 | 851 | plt.legend() |
|
|
848 | 852 | else: |
|
|
849 | 853 | for ch in self.data.channels: |
|
|
850 | 854 | y = Y[ch] |
|
|
851 | 855 | self.axes[0].lines[ch].set_data(x, y) |
|
|
852 | 856 | |
|
|
853 | 857 | self.ymin = numpy.nanmin(Y) - 5 |
|
|
854 | 858 | self.ymax = numpy.nanmax(Y) + 5 |
|
|
855 | 859 | self.saveTime = self.min_time |
|
|
856 | 860 | |
|
|
857 | 861 | |
|
|
858 | 862 | class PlotSNRData(PlotRTIData): |
|
|
859 | 863 | ''' |
|
|
860 | 864 | Plot for SNR Data |
|
|
861 | 865 | ''' |
|
|
862 | 866 | |
|
|
863 | 867 | CODE = 'snr' |
|
|
864 | 868 | colormap = 'jet' |
|
|
865 | 869 | |
|
|
866 | 870 | |
|
|
867 | 871 | class PlotDOPData(PlotRTIData): |
|
|
868 | 872 | ''' |
|
|
869 | 873 | Plot for DOPPLER Data |
|
|
870 | 874 | ''' |
|
|
871 | 875 | |
|
|
872 | 876 | CODE = 'dop' |
|
|
873 | 877 | colormap = 'jet' |
|
|
874 | 878 | |
|
|
875 | 879 | |
|
|
876 | 880 | class PlotSkyMapData(PlotData): |
|
|
877 | 881 | ''' |
|
|
878 | 882 | Plot for meteors detection data |
|
|
879 | 883 | ''' |
|
|
880 | 884 | |
|
|
881 | 885 | CODE = 'param' |
|
|
882 | 886 | |
|
|
883 | 887 | def setup(self): |
|
|
884 | 888 | |
|
|
885 | 889 | self.ncols = 1 |
|
|
886 | 890 | self.nrows = 1 |
|
|
887 | 891 | self.width = 7.2 |
|
|
888 | 892 | self.height = 7.2 |
|
|
889 | 893 | self.nplots = 1 |
|
|
890 | 894 | self.xlabel = 'Zonal Zenith Angle (deg)' |
|
|
891 | 895 | self.ylabel = 'Meridional Zenith Angle (deg)' |
|
|
892 | 896 | self.polar = True |
|
|
893 | 897 | self.ymin = -180 |
|
|
894 | 898 | self.ymax = 180 |
|
|
895 | 899 | self.colorbar = False |
|
|
896 | 900 | |
|
|
897 | 901 | def plot(self): |
|
|
898 | 902 | |
|
|
899 | 903 | arrayParameters = numpy.concatenate(self.data['param']) |
|
|
900 | 904 | error = arrayParameters[:, -1] |
|
|
901 | 905 | indValid = numpy.where(error == 0)[0] |
|
|
902 | 906 | finalMeteor = arrayParameters[indValid, :] |
|
|
903 | 907 | finalAzimuth = finalMeteor[:, 3] |
|
|
904 | 908 | finalZenith = finalMeteor[:, 4] |
|
|
905 | 909 | |
|
|
906 | 910 | x = finalAzimuth * numpy.pi / 180 |
|
|
907 | 911 | y = finalZenith |
|
|
908 | 912 | |
|
|
909 | 913 | ax = self.axes[0] |
|
|
910 | 914 | |
|
|
911 | 915 | if ax.firsttime: |
|
|
912 | 916 | ax.plot = ax.plot(x, y, 'bo', markersize=5)[0] |
|
|
913 | 917 | else: |
|
|
914 | 918 | ax.plot.set_data(x, y) |
|
|
915 | 919 | |
|
|
916 | 920 | dt1 = self.getDateTime(self.min_time).strftime('%y/%m/%d %H:%M:%S') |
|
|
917 | 921 | dt2 = self.getDateTime(self.max_time).strftime('%y/%m/%d %H:%M:%S') |
|
|
918 | 922 | title = 'Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n' % (dt1, |
|
|
919 | 923 | dt2, |
|
|
920 | 924 | len(x)) |
|
|
921 | 925 | self.titles[0] = title |
|
|
922 | 926 | self.saveTime = self.max_time |
|
|
923 | 927 | |
|
|
924 | 928 | |
|
|
925 | 929 | class PlotParamData(PlotRTIData): |
|
|
926 | 930 | ''' |
|
|
927 | 931 | Plot for data_param object |
|
|
928 | 932 | ''' |
|
|
929 | 933 | |
|
|
930 | 934 | CODE = 'param' |
|
|
931 | 935 | colormap = 'seismic' |
|
|
932 | 936 | |
|
|
933 | 937 | def setup(self): |
|
|
934 | 938 | self.xaxis = 'time' |
|
|
935 | 939 | self.ncols = 1 |
|
|
936 | 940 | self.nrows = self.data.shape(self.CODE)[0] |
|
|
937 | 941 | self.nplots = self.nrows |
|
|
938 | 942 | if self.showSNR: |
|
|
939 | 943 | self.nrows += 1 |
|
|
940 | 944 | self.nplots += 1 |
|
|
941 | 945 | |
|
|
942 | 946 | self.ylabel = 'Height [km]' |
|
|
943 | 947 | if not self.titles: |
|
|
944 | 948 | self.titles = self.data.parameters \ |
|
|
945 | 949 | if self.data.parameters else ['Param {}'.format(x) for x in xrange(self.nrows)] |
|
|
946 | 950 | if self.showSNR: |
|
|
947 | 951 | self.titles.append('SNR') |
|
|
948 | 952 | |
|
|
949 | 953 | def plot(self): |
|
|
950 | 954 | self.data.normalize_heights() |
|
|
951 | 955 | self.x = self.times |
|
|
952 | 956 | self.y = self.data.heights |
|
|
953 | 957 | if self.showSNR: |
|
|
954 | 958 | self.z = numpy.concatenate( |
|
|
955 | 959 | (self.data[self.CODE], self.data['snr']) |
|
|
956 | 960 | ) |
|
|
957 | 961 | else: |
|
|
958 | 962 | self.z = self.data[self.CODE] |
|
|
959 | 963 | |
|
|
960 | 964 | self.z = numpy.ma.masked_invalid(self.z) |
|
|
961 | 965 | |
|
|
962 | 966 | if self.decimation is None: |
|
|
963 | 967 | x, y, z = self.fill_gaps(self.x, self.y, self.z) |
|
|
964 | 968 | else: |
|
|
965 | 969 | x, y, z = self.fill_gaps(*self.decimate()) |
|
|
966 | 970 | |
|
|
967 | 971 | for n, ax in enumerate(self.axes): |
|
|
968 | 972 | |
|
|
969 | 973 | self.zmax = self.zmax if self.zmax is not None else numpy.max( |
|
|
970 | 974 | self.z[n]) |
|
|
971 | 975 | self.zmin = self.zmin if self.zmin is not None else numpy.min( |
|
|
972 | 976 | self.z[n]) |
|
|
973 | 977 | |
|
|
974 | 978 | if ax.firsttime: |
|
|
975 | 979 | if self.zlimits is not None: |
|
|
976 | 980 | self.zmin, self.zmax = self.zlimits[n] |
|
|
977 | 981 | |
|
|
978 | 982 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], |
|
|
979 | 983 | vmin=self.zmin, |
|
|
980 | 984 | vmax=self.zmax, |
|
|
981 | 985 | cmap=self.cmaps[n] |
|
|
982 | 986 | ) |
|
|
983 | 987 | else: |
|
|
984 | 988 | if self.zlimits is not None: |
|
|
985 | 989 | self.zmin, self.zmax = self.zlimits[n] |
|
|
986 | 990 | ax.collections.remove(ax.collections[0]) |
|
|
987 | 991 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], |
|
|
988 | 992 | vmin=self.zmin, |
|
|
989 | 993 | vmax=self.zmax, |
|
|
990 | 994 | cmap=self.cmaps[n] |
|
|
991 | 995 | ) |
|
|
992 | 996 | |
|
|
993 | 997 | self.saveTime = self.min_time |
|
|
994 | 998 | |
|
|
995 | 999 | |
|
|
996 | 1000 | class PlotOutputData(PlotParamData): |
|
|
997 | 1001 | ''' |
|
|
998 | 1002 | Plot data_output object |
|
|
999 | 1003 | ''' |
|
|
1000 | 1004 | |
|
|
1001 | 1005 | CODE = 'output' |
|
|
1002 | 1006 | colormap = 'seismic' |
|
|
1003 | 1007 | |
|
|
1004 | 1008 | |
|
|
1005 | 1009 | class PlotPolarMapData(PlotData): |
|
|
1006 | 1010 | ''' |
|
|
1007 | 1011 | Plot for meteors detection data |
|
|
1008 | 1012 | ''' |
|
|
1009 | 1013 | |
|
|
1010 | 1014 | CODE = 'param' |
|
|
1011 | 1015 | colormap = 'seismic' |
|
|
1012 | 1016 | |
|
|
1013 | 1017 | def setup(self): |
|
|
1014 | 1018 | self.ncols = 1 |
|
|
1015 | 1019 | self.nrows = 1 |
|
|
1016 | 1020 | self.width = 9 |
|
|
1017 | 1021 | self.height = 8 |
|
|
1018 | 1022 | self.mode = self.data.meta['mode'] |
|
|
1019 | 1023 | if self.channels is not None: |
|
|
1020 | 1024 | self.nplots = len(self.channels) |
|
|
1021 | 1025 | self.nrows = len(self.channels) |
|
|
1022 | 1026 | else: |
|
|
1023 | 1027 | self.nplots = self.data.shape(self.CODE)[0] |
|
|
1024 | 1028 | self.nrows = self.nplots |
|
|
1025 | 1029 | self.channels = range(self.nplots) |
|
|
1026 | 1030 | if self.mode == 'E': |
|
|
1027 | 1031 | self.xlabel = 'Longitude' |
|
|
1028 | 1032 | self.ylabel = 'Latitude' |
|
|
1029 | 1033 | else: |
|
|
1030 | 1034 | self.xlabel = 'Range (km)' |
|
|
1031 | 1035 | self.ylabel = 'Height (km)' |
|
|
1032 | 1036 | self.bgcolor = 'white' |
|
|
1033 | 1037 | self.cb_labels = self.data.meta['units'] |
|
|
1034 | 1038 | self.lat = self.data.meta['latitude'] |
|
|
1035 | 1039 | self.lon = self.data.meta['longitude'] |
|
|
1036 |
self.xmin, self.xmax = float(km2deg( |
|
|
|
1037 |
self.ymin, self.ymax = float(km2deg( |
|
|
|
1038 | log.error(type(self.ymin)) | |
|
|
1039 | #print km2deg(-50) + self.lon, km2deg(50) + self.lon | |
|
|
1040 | #print km2deg(-50) + self.lat, km2deg(50) + self.lat | |
|
|
1040 | self.xmin, self.xmax = float(km2deg(self.xmin) + self.lon), float(km2deg(self.xmax) + self.lon) | |
|
|
1041 | self.ymin, self.ymax = float(km2deg(self.ymin) + self.lat), float(km2deg(self.ymax) + self.lat) | |
|
|
1041 | 1042 | # self.polar = True |
|
|
1042 | 1043 | |
|
|
1043 | 1044 | def plot(self): |
|
|
1044 | 1045 | |
|
|
1045 | 1046 | for n, ax in enumerate(self.axes): |
|
|
1046 | 1047 | data = self.data['param'][self.channels[n]] |
|
|
1047 | 1048 | |
|
|
1048 | 1049 | zeniths = numpy.linspace(0, self.data.meta['max_range'], data.shape[1]) |
|
|
1049 | 1050 | if self.mode == 'E': |
|
|
1050 | 1051 | azimuths = -numpy.radians(self.data.heights)+numpy.pi/2 |
|
|
1051 | 1052 | r, theta = numpy.meshgrid(zeniths, azimuths) |
|
|
1052 | 1053 | x, y = r*numpy.cos(theta)*numpy.cos(numpy.radians(self.data.meta['elevation'])), r*numpy.sin(theta)*numpy.cos(numpy.radians(self.data.meta['elevation'])) |
|
|
1053 | 1054 | x = km2deg(x) + self.lon |
|
|
1054 | 1055 | y = km2deg(y) + self.lat |
|
|
1055 | 1056 | else: |
|
|
1056 | 1057 | azimuths = numpy.radians(self.data.heights) |
|
|
1057 | 1058 | r, theta = numpy.meshgrid(zeniths, azimuths) |
|
|
1058 | 1059 | x, y = r*numpy.cos(theta), r*numpy.sin(theta) |
|
|
1059 | 1060 | self.y = zeniths |
|
|
1060 | 1061 | |
|
|
1061 | 1062 | if ax.firsttime: |
|
|
1062 | 1063 | if self.zlimits is not None: |
|
|
1063 | 1064 | self.zmin, self.zmax = self.zlimits[n] |
|
|
1064 | 1065 | ax.plt = ax.pcolormesh(#r, theta, numpy.ma.array(data, mask=numpy.isnan(data)), |
|
|
1065 | 1066 | x, y, numpy.ma.array(data, mask=numpy.isnan(data)), |
|
|
1066 | 1067 | vmin=self.zmin, |
|
|
1067 | 1068 | vmax=self.zmax, |
|
|
1068 | 1069 | cmap=self.cmaps[n]) |
|
|
1069 | 1070 | else: |
|
|
1070 | 1071 | if self.zlimits is not None: |
|
|
1071 | 1072 | self.zmin, self.zmax = self.zlimits[n] |
|
|
1072 | 1073 | ax.collections.remove(ax.collections[0]) |
|
|
1073 | 1074 | ax.plt = ax.pcolormesh(# r, theta, numpy.ma.array(data, mask=numpy.isnan(data)), |
|
|
1074 | 1075 | x, y, numpy.ma.array(data, mask=numpy.isnan(data)), |
|
|
1075 | 1076 | vmin=self.zmin, |
|
|
1076 | 1077 | vmax=self.zmax, |
|
|
1077 | 1078 | cmap=self.cmaps[n]) |
|
|
1078 | 1079 | |
|
|
1079 | 1080 | if self.mode == 'A': |
|
|
1080 | 1081 | continue |
|
|
1081 | 1082 | |
|
|
1082 | f = open('/home/jespinoza/workspace/schain_scripts/distrito.csv') | |
|
|
1083 | ||
|
|
1083 | # plot district names | |
|
|
1084 | f = open('/data/workspace/schain_scripts/distrito.csv') | |
|
|
1084 | 1085 | for line in f: |
|
|
1085 | 1086 | label, lon, lat = [s.strip() for s in line.split(',') if s] |
|
|
1086 | 1087 | lat = float(lat) |
|
|
1087 | 1088 | lon = float(lon) |
|
|
1088 | ax.plot(lon, lat, '.b', ms=2) | |
|
|
1089 | # ax.plot(lon, lat, '.b', ms=2) | |
|
|
1089 | 1090 | ax.text(lon, lat, label.decode('utf8'), ha='center', va='bottom', size='8', color='black') |
|
|
1090 | ||
|
|
1091 | ||
|
|
1092 | # plot limites | |
|
|
1093 | limites =[] | |
|
|
1094 | tmp = [] | |
|
|
1095 | for line in open('/data/workspace/schain_scripts/lima.csv'): | |
|
|
1096 | if '#' in line: | |
|
|
1097 | if tmp: | |
|
|
1098 | limites.append(tmp) | |
|
|
1099 | tmp = [] | |
|
|
1100 | continue | |
|
|
1101 | values = line.strip().split(',') | |
|
|
1102 | tmp.append((float(values[0]), float(values[1]))) | |
|
|
1103 | for points in limites: | |
|
|
1104 | ax.add_patch(Polygon(points, ec='k', fc='none', ls='--', lw=0.5)) | |
|
|
1105 | ||
|
|
1106 | # plot Cuencas | |
|
|
1107 | for cuenca in ('rimac', 'lurin', 'mala', 'chillon', 'chilca', 'chancay-huaral'): | |
|
|
1108 | f = open('/data/workspace/schain_scripts/{}.csv'.format(cuenca)) | |
|
|
1109 | values = [line.strip().split(',') for line in f] | |
|
|
1110 | points = [(float(s[0]), float(s[1])) for s in values] | |
|
|
1111 | ax.add_patch(Polygon(points, ec='b', fc='none')) | |
|
|
1112 | ||
|
|
1113 | # plot grid | |
|
|
1114 | for r in (15, 30, 45, 60): | |
|
|
1115 | ax.add_artist(plt.Circle((self.lon, self.lat), km2deg(r), color='0.6', fill=False, lw=0.2)) | |
|
|
1116 | ax.text( | |
|
|
1117 | self.lon + (km2deg(r))*numpy.cos(60*numpy.pi/180), | |
|
|
1118 | self.lat + (km2deg(r))*numpy.sin(60*numpy.pi/180), | |
|
|
1119 | '{}km'.format(r), | |
|
|
1120 | ha='center', va='bottom', size='8', color='0.6', weight='heavy') | |
|
|
1091 | 1121 | |
|
|
1092 | 1122 | if self.mode == 'E': |
|
|
1093 | 1123 | title = 'El={}$^\circ$'.format(self.data.meta['elevation']) |
|
|
1094 | 1124 | label = 'E{:02d}'.format(int(self.data.meta['elevation'])) |
|
|
1095 | 1125 | else: |
|
|
1096 | 1126 | title = 'Az={}$^\circ$'.format(self.data.meta['azimuth']) |
|
|
1097 | 1127 | label = 'A{:02d}'.format(int(self.data.meta['azimuth'])) |
|
|
1098 | 1128 | |
|
|
1099 | 1129 | self.save_labels = ['{}-{}'.format(lbl, label) for lbl in self.labels] |
|
|
1100 | 1130 | self.titles = ['{} {}'.format(self.data.parameters[x], title) for x in self.channels] |
|
|
1101 | 1131 | self.saveTime = self.max_time |
|
|
1102 | 1132 | |
|
|
1103 | 1133 | |
General Comments 0
You need to be logged in to leave comments.
Login now