| @@ -90,6 +90,7 class SpectraPlot(Figure): | |||
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90 | 90 | x = dataOut.getVelRange(1) |
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91 | 91 | y = dataOut.heightList |
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92 | 92 | z = 10.*numpy.log10(dataOut.data_spc[channelIndexList,:,:]) |
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93 | avg = numpy.average(z, axis=1) | |
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93 | 94 | |
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94 | 95 | noise = dataOut.getNoise() |
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95 | 96 | |
| @@ -106,8 +107,8 class SpectraPlot(Figure): | |||
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106 | 107 | if xmax == None: xmax = numpy.nanmax(x) |
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107 | 108 | if ymin == None: ymin = numpy.nanmin(y) |
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108 | 109 | if ymax == None: ymax = numpy.nanmax(y) |
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109 |
if zmin == None: zmin = numpy.nanmin( |
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110 |
if zmax == None: zmax = numpy.nanmax( |
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110 | if zmin == None: zmin = numpy.nanmin(avg)*0.9 | |
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111 | if zmax == None: zmax = numpy.nanmax(avg)*0.9 | |
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111 | 112 | |
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112 | 113 | self.__isConfig = True |
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113 | 114 | |
| @@ -117,9 +118,6 class SpectraPlot(Figure): | |||
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117 | 118 | ylabel = "Range (Km)" |
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118 | 119 | |
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119 | 120 | self.setWinTitle(title) |
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120 | ||
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121 | if self.__showprofile: | |
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122 | avg = numpy.average(z, axis=1) | |
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123 | 121 | |
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124 | 122 | for i in range(self.nplots): |
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125 | 123 | title = "Channel %d: %4.2fdB" %(dataOut.channelList[i], noise[i]) |
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