| @@ -200,8 +200,8 class SpectraReader( JRODataReader ): | |||
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200 | 200 | spc = numpy.roll( spc, self.m_ProcessingHeader.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
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201 | 201 | cspc = numpy.roll( cspc, self.m_ProcessingHeader.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
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202 | 202 | |
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203 | spc = numpy.transpose( spc, (0,2,1) ) | |
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204 | cspc = numpy.transpose( cspc, (0,2,1) ) | |
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203 | # spc = numpy.transpose( spc, (0,2,1) ) | |
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204 | # cspc = numpy.transpose( cspc, (0,2,1) ) | |
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205 | 205 | #dc = numpy.transpose(dc, (0,2,1)) |
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206 | 206 | |
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207 | 207 | self.data_spc = spc |
| @@ -359,14 +359,16 class SpectraWriter(JRODataWriter): | |||
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359 | 359 | |
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360 | 360 | Return: None |
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361 | 361 | """ |
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362 |
spc = |
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362 | spc = self.data_spc | |
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363 | # spc = numpy.transpose( self.data_spc, (0,2,1) ) | |
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363 | 364 | if not( self.m_ProcessingHeader.shif_fft ): |
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364 | 365 | spc = numpy.roll( spc, self.m_ProcessingHeader.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
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365 | 366 | data = spc.reshape((-1)) |
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366 | 367 | data.tofile(self.fp) |
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367 | 368 | |
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368 | 369 | data = numpy.zeros( self.shape_cspc_Buffer, self.dataType ) |
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369 |
cspc = |
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370 | cspc = self.data_cspc | |
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371 | # cspc = numpy.transpose( self.data_cspc, (0,2,1) ) | |
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370 | 372 | if not( self.m_ProcessingHeader.shif_fft ): |
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371 | 373 | cspc = numpy.roll( cspc, self.m_ProcessingHeader.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
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372 | 374 | data['real'] = cspc.real |
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