| @@ -251,7 +251,7 class Plot(Operation): | |||
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251 | 251 | self.ang_min = kwargs.get('ang_min', None) |
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252 | 252 | self.ang_max = kwargs.get('ang_max', None) |
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253 | 253 | self.mode = kwargs.get('mode', None) |
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254 |
self. |
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254 | self.mask = kwargs.get('mask', False) | |
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255 | 255 | |
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256 | 256 | |
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257 | 257 | if self.server: |
| @@ -426,14 +426,15 class WeatherParamsPlot(Plot): | |||
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426 | 426 | else: |
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427 | 427 | factor = 1 |
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428 | 428 | |
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429 | mask = dataOut.data_param[:,3,:] < self.snr_threshold | |
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430 | ||
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431 | 429 | if 'S' in self.attr_data[0]: |
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432 |
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433 | tmp = numpy.ma.masked_array(10*numpy.log10(10.0*getattr(dataOut, 'data_param')[:,0,:]/(factor)), mask=mask) | |
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430 | tmp = 10*numpy.log10(10.0*getattr(dataOut, 'data_param')[:,0,:]/(factor)) | |
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434 | 431 | else: |
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435 |
tmp = |
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436 | # tmp = getattr(dataOut, self.attr_data[0]) | |
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432 | tmp = getattr(dataOut, 'data_param')[:,vars[self.attr_data[0]],:] | |
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433 | ||
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434 | ||
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435 | if self.mask: | |
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436 | mask = dataOut.data_param[:,3,:] < self.mask | |
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437 | tmp = numpy.ma.masked_array(tmp, mask=mask) | |
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437 | 438 | |
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438 | 439 | r = dataOut.heightList |
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439 | 440 | delta_height = r[1]-r[0] |
| @@ -458,9 +459,14 class WeatherParamsPlot(Plot): | |||
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458 | 459 | var = data['data'].flatten() |
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459 | 460 | r = numpy.tile(data['r'], data['data'].shape[0]).reshape(data['data'].shape)*1000 |
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460 | 461 | lla = georef.spherical_to_proj(r, data['azi'], data['ele'], (-75.295893, -12.040436, 3379.2147)) |
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462 | if self.mask: | |
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461 | 463 | meta['lat'] = lla[:,:,1].flatten()[var.mask==False] |
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462 | 464 | meta['lon'] = lla[:,:,0].flatten()[var.mask==False] |
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463 | 465 | data['var'] = numpy.array([var[var.mask==False]]) |
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466 | else: | |
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467 | meta['lat'] = lla[:,:,1].flatten() | |
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468 | meta['lon'] = lla[:,:,0].flatten() | |
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469 | data['var'] = numpy.array([var]) | |
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464 | 470 | |
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465 | 471 | return data, meta |
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466 | 472 | |
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