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1 | # SOPHY PROC script | |||
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2 | import os, sys, json, argparse | |||
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3 | import datetime | |||
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4 | import time | |||
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5 | ||||
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6 | PATH = '/DATA_RM/DATA' | |||
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7 | # PATH = '/Users/jespinoza/workspace/data/' | |||
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8 | #PATH = '/home/roberto/DATA/data_WR_RHI/RHI' | |||
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9 | PATH = '/home/soporte/Downloads/data_WR_RHI' | |||
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10 | ||||
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11 | ||||
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12 | PARAM = { | |||
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13 | 'P': {'name': 'dataPP_POWER', 'zmin': 35, 'zmax': 60, 'colormap': 'jet', 'label': 'Power', 'cb_label': 'dB'}, | |||
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14 | 'V': {'name': 'dataPP_DOP', 'zmin': -20, 'zmax': 20, 'colormap': 'seismic', 'label': 'Velocity', 'cb_label': 'm/s'}, | |||
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15 | 'RH': {'name': 'RhoHV_R', 'zmin': 0, 'zmax': 1, 'colormap': 'jet', 'label': 'CoeficienteCorrelacion', 'cb_label': '*'}, | |||
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16 | 'FD': {'name': 'PhiD_P', 'zmin': -180, 'zmax': 180, 'colormap': 'RdBu_r', 'label': 'Fase Diferencial', 'cb_label': 'º'}, | |||
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17 | 'ZD': {'name': 'Zdb_D', 'zmin': -20, 'zmax': 80, 'colormap': 'viridis', 'label': 'ReflectividadDiferencial', 'cb_label': 'dBz'}, | |||
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18 | 'Z': {'name': 'Zdb', 'zmin': -20, 'zmax': 60, 'colormap': 'viridis', 'label': 'Reflectividad', 'cb_label': 'dBz'}, | |||
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19 | 'W': {'name': 'Sigmav_W', 'zmin': -20, 'zmax': 60, 'colormap': 'viridis', 'label': 'AnchoEspectral', 'cb_label': 'hz'} | |||
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20 | } | |||
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21 | ||||
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22 | def main(args): | |||
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23 | ||||
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24 | experiment = args.experiment | |||
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25 | fp = open(os.path.join(PATH, experiment, 'experiment.conf')) | |||
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26 | conf = json.loads(fp.read()) | |||
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27 | ||||
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28 | ipp_km = conf['usrp_tx']['ipp'] | |||
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29 | ipp = ipp_km * 2 /300000 | |||
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30 | samp_rate = conf['usrp_rx']['sample_rate'] | |||
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31 | axis = ['0' if x=='elevation' else '1' for x in conf['pedestal']['speed']] # AZIMUTH 1 ELEVACION 0 | |||
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32 | speed_axis = conf['pedestal']['speed'] | |||
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33 | steeps = conf['pedestal']['table'] | |||
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34 | time_offset = args.time_offset | |||
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35 | parameters = args.parameters | |||
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36 | #start_date = experiment.split('@')[1].split('T')[0].replace('-', '/') | |||
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37 | start_date = '2022/04/22' | |||
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38 | end_date = start_date | |||
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39 | #start_time = experiment.split('@')[1].split('T')[1] | |||
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40 | start_time ='17:42:55' | |||
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41 | end_time = '23:59:59' | |||
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42 | max_index = int(samp_rate*ipp*1e6 * args.range / 60) + int(samp_rate*ipp*1e6 * 1.2 / 60) | |||
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43 | N = int(1/(speed_axis[0]*ipp)) # 1 GRADO DE RESOLUCION | |||
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44 | path = os.path.join(PATH, experiment, 'rawdata') | |||
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45 | path_ped = os.path.join(PATH, experiment, 'position') | |||
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46 | path_plots = os.path.join(PATH, experiment, 'plots') | |||
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47 | path_save = os.path.join(PATH, experiment, 'param') | |||
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48 | ||||
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49 | dBmin = 35 | |||
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50 | dBmax = 60 | |||
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51 | Vmin = -20 | |||
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52 | Vmax = 20 | |||
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53 | ||||
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54 | ||||
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55 | from schainpy.controller import Project | |||
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56 | ||||
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57 | project = Project() | |||
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58 | project.setup(id='1', name='Sophy', description='sophy proc') | |||
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59 | ||||
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60 | reader = project.addReadUnit(datatype='DigitalRFReader', | |||
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61 | path=path, | |||
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62 | startDate=start_date, | |||
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63 | endDate=end_date, | |||
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64 | startTime=start_time, | |||
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65 | endTime=end_time, | |||
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66 | delay=0, | |||
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67 | online=0, | |||
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68 | walk=1, | |||
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69 | ippKm = ipp_km, | |||
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70 | getByBlock = 1, | |||
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71 | nProfileBlocks = N, | |||
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72 | ) | |||
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73 | ||||
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74 | voltage = project.addProcUnit(datatype='VoltageProc', inputId=reader.getId()) | |||
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75 | op = voltage.addOperation(name='setH0') | |||
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76 | op.addParameter(name='h0', value='-1.2') | |||
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77 | ||||
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78 | if args.range > 0: | |||
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79 | op = voltage.addOperation(name='selectHeights') | |||
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80 | op.addParameter(name='minIndex', value='0', format='int') | |||
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81 | op.addParameter(name='maxIndex', value=max_index, format='int') | |||
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82 | ||||
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83 | op = voltage.addOperation(name='PulsePair_vRF', optype='other') | |||
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84 | op.addParameter(name='n', value=int(N), format='int') | |||
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85 | ||||
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86 | proc = project.addProcUnit(datatype='ParametersProc', inputId=voltage.getId()) | |||
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87 | #-----------------------new--------- variables polarimetricas--------------- | |||
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88 | opObj10 = proc.addOperation(name="WeatherRadar") | |||
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89 | opObj10.addParameter(name='variableList',value='Reflectividad,ReflectividadDiferencial,CoeficienteCorrelacion,FaseDiferencial,VelocidadRadial,AnchoEspectral') | |||
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90 | ||||
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91 | ||||
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92 | ||||
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93 | op = proc.addOperation(name='PedestalInformation') | |||
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94 | op.addParameter(name='path', value=path_ped, format='str') | |||
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95 | op.addParameter(name='interval', value='0.04', format='float') | |||
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96 | op.addParameter(name='time_offset', value=time_offset) | |||
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97 | #op.addParameter(name='axis', value=','.join(axis)) #Preguntar en pedestal si todos los elementos | |||
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98 | #de aqui son iguales, si lo fueran, que considere | |||
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99 | #el primero dato como el modo (PPI o RHI) y que ya | |||
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100 | #no pregunte por el modo porque este no cambia | |||
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101 | ||||
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102 | for param in parameters: | |||
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103 | op = proc.addOperation(name='Block360_vRF4') | |||
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104 | #op.addParameter(name='axis', value=','.join(axis)) | |||
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105 | op.addParameter(name='runNextOp', value=True) | |||
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106 | op.addParameter(name='attr_data', value=PARAM[param]['name']) | |||
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107 | ||||
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108 | path_fig = '/AUTO{}km'.format(args.range) | |||
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109 | op = proc.addOperation(name='WeatherParamsPlot') | |||
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110 | op.addParameter(name='save', value=path_plots+path_fig, format='str') | |||
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111 | op.addParameter(name='save_period', value=-1) | |||
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112 | op.addParameter(name='show', value=args.show) | |||
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113 | op.addParameter(name='channels', value='(1,)') | |||
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114 | op.addParameter(name='zmin', value=PARAM[param]['zmin']) | |||
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115 | op.addParameter(name='zmax', value=PARAM[param]['zmax']) | |||
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116 | op.addParameter(name='attr_data', value=PARAM[param]['name'], format='str') | |||
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117 | op.addParameter(name='labels', value=[PARAM[param]['label']]) | |||
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118 | op.addParameter(name='save_code', value=param) | |||
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119 | op.addParameter(name='cb_label', value=PARAM[param]['cb_label']) | |||
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120 | op.addParameter(name='colormap', value=PARAM[param]['colormap']) | |||
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121 | ||||
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122 | if args.save: | |||
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123 | opObj10 = proc.addOperation(name='HDFWriter') | |||
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124 | opObj10.addParameter(name='path',value=path_save, format='str') | |||
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125 | opObj10.addParameter(name='Reset',value=True) | |||
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126 | opObj10.addParameter(name='setType',value='weather') | |||
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127 | opObj10.addParameter(name='blocksPerFile',value='1',format='int') | |||
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128 | opObj10.addParameter(name='metadataList',value='heightList,data_azi,data_ele') | |||
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129 | opObj10.addParameter(name='dataList',value=','.join([PARAM[param]['name'],'utctime'])) | |||
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130 | ||||
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131 | project.start() | |||
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132 | ||||
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133 | ||||
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134 | if __name__ == '__main__': | |||
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135 | ||||
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136 | parser = argparse.ArgumentParser(description='Script to process SOPHy data.') | |||
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137 | parser.add_argument('experiment', | |||
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138 | help='Experiment name') | |||
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139 | parser.add_argument('--parameters', nargs='*', default=['P'], | |||
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140 | help='Variables to process: P, Z, V') | |||
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141 | parser.add_argument('--time_offset', default=0, | |||
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142 | help='Fix time offset') | |||
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143 | parser.add_argument('--range', default=0, type=int, | |||
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144 | help='Max range to plot') | |||
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145 | parser.add_argument('--save', action='store_true', | |||
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146 | help='Create output files') | |||
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147 | parser.add_argument('--show', action='store_true', | |||
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148 | help='Show matplotlib plot.') | |||
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149 | ||||
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150 | args = parser.parse_args() | |||
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151 | print (args) | |||
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152 | main(args) |
@@ -558,12 +558,12 class HDFWriter(Operation): | |||||
558 | if self.dataOut.flagMode == 1: #'AZI' #PPI |
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558 | if self.dataOut.flagMode == 1: #'AZI' #PPI | |
559 | ang_type = 'El' |
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559 | ang_type = 'El' | |
560 | len_aux = int(self.dataOut.data_ele.shape[0]/4) |
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560 | len_aux = int(self.dataOut.data_ele.shape[0]/4) | |
561 |
mean = numpy.mean(self.dataOut.data_ele[len_aux:-len |
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561 | mean = numpy.mean(self.dataOut.data_ele[len_aux:-len_aux]) | |
562 | ang_ = round(mean,1) |
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562 | ang_ = round(mean,1) | |
563 | elif self.dataOut.flagMode == 0: #'ELE' #RHI |
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563 | elif self.dataOut.flagMode == 0: #'ELE' #RHI | |
564 | ang_type = 'Az' |
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564 | ang_type = 'Az' | |
565 | len_aux = int(self.dataOut.data_azi.shape[0]/4) |
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565 | len_aux = int(self.dataOut.data_azi.shape[0]/4) | |
566 |
mean = numpy.mean(self.dataOut.data_azi[len_aux:-len |
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566 | mean = numpy.mean(self.dataOut.data_azi[len_aux:-len_aux]) | |
567 | ang_ = round(mean,1) |
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567 | ang_ = round(mean,1) | |
568 |
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568 | |||
569 | file = '%s%s%s%2.1f%s%2.2d%2.2d%2.2d%s%2.2d%2.2d%2.2d%s' % (wr_type, |
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569 | file = '%s%s%s%2.1f%s%2.2d%2.2d%2.2d%s%2.2d%2.2d%2.2d%s' % (wr_type, |
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