schain Commit - r1360:d1c8bd7ba7f9 · Jicamarca Repository

Fix h5py Dataset value attribute deprecation

jespinoza -

r1360:d1c8bd7ba7f9

parent child

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r1360:d1c8bd7ba7f9

schainpy/model/graphics/jroplot_parameters.py +1 -2

                     self.ylabel = 'Height [km]'
                     if not self.titles:
-                        self.titles = self.data.parameters \
+                        self.titles = ['Param {}'.format(x) for x in range(self.nrows)]
-                            if self.data.parameters else ['Param {}'.format(x) for x in range(self.nrows)]
                 def update(self, dataOut):

schainpy/model/io/bltrIO_spectra.py +2 -11

             import os
             import sys
             import glob
-            import fnmatch
-            import datetime
-            import time
-            import re
-            import h5py
             import numpy
-            import pylab as plb
-            from scipy.optimize import curve_fit
-            from scipy import asarray as ar, exp
             SPEED_OF_LIGHT = 299792458
             SPEED_OF_LIGHT = 3e8
             import schainpy.admin
             from schainpy.model.data.jrodata import Spectra
-            from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator
+            from schainpy.model.proc.jroproc_base import ProcessingUnit
             from schainpy.utils import log
-            from schainpy.model.io.jroIO_base import JRODataReader
             def pol2cart(rho, phi):
                 x = rho * numpy.cos(phi)
                     copy = self.data_block.copy()
                     spc = copy * numpy.conjugate(copy)
                     self.data_spc = numpy.absolute(spc)  # valor absoluto o magnitud
-                    self.dataOut.data_spc = self.data_spc
                     cspc = self.data_block.copy()
                     self.data_cspc = self.data_block.copy()

schainpy/model/io/jroIO_param.py +7 -7

                     if self.description:
                         for key, value in self.description['Metadata'].items():
-                            meta[key] = self.fp[value].value
+                            meta[key] = self.fp[value][()]
                     else:
                         grp = self.fp['Metadata']
                         for name in grp:
-                            meta[name] = grp[name].value
+                            meta[name] = grp[name][()]
                     if self.extras:
                         for key, value in self.extras.items():
                         for key, value in self.description['Data'].items():
                             if isinstance(value, str):
                                 if isinstance(self.fp[value], h5py.Dataset):
-                                    data[key] = self.fp[value].value
+                                    data[key] = self.fp[value][()]
                                 elif isinstance(self.fp[value], h5py.Group):
                                     array = []
                                     for ch in self.fp[value]:
-                                        array.append(self.fp[value][ch].value)
+                                        array.append(self.fp[value][ch][()])
                                     data[key] = numpy.array(array)
                             elif isinstance(value, list):
                                 array = []
                                 for ch in value:
-                                    array.append(self.fp[ch].value)
+                                    array.append(self.fp[ch][()])
                                 data[key] = numpy.array(array)
                     else:
                         grp = self.fp['Data']
                         for name in grp:
                             if isinstance(grp[name], h5py.Dataset):
-                                array = grp[name].value
+                                array = grp[name][()]
                             elif isinstance(grp[name], h5py.Group):
                                 array = []
                                 for ch in grp[name]:
-                                    array.append(grp[name][ch].value)
+                                    array.append(grp[name][ch][()])
                                 array = numpy.array(array)
                             else:
                                 log.warning('Unknown type: {}'.format(name))

schainpy/model/proc/bltrproc_parameters.py +4 -7

             '''
             import numpy
-            import copy
             import datetime
             import time
-            from time import gmtime
-            from numpy import transpose
+            from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation
-            from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator
             from schainpy.model.data.jrodata import Parameters
                     self.dataOut.data_param = self.dataOut.data[mode]
                     self.dataOut.heightList = self.dataOut.height[0]
                     self.dataOut.data_snr = self.dataOut.data_snr[mode]
+                    SNRavg = numpy.average(self.dataOut.data_snr, axis=0)
+                    SNRavgdB = 10*numpy.log10(SNRavg)
+                    self.dataOut.data_snr_avg_db = SNRavgdB.reshape(1, *SNRavgdB.shape)
                     if snr_threshold is not None:
-                        SNRavg = numpy.average(self.dataOut.data_snr, axis=0)
-                        SNRavgdB = 10*numpy.log10(SNRavg)
                         for i in range(3):
                             self.dataOut.data_param[i][SNRavgdB <= snr_threshold] = numpy.nan

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