@@ -1,276 +1,302 | |||
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1 | 1 | ''' |
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2 | 2 | Created on Jul 9, 2014 |
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3 | 3 | |
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4 | 4 | @author: roj-idl71 |
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5 | 5 | ''' |
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6 | 6 | import os |
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7 | 7 | import datetime |
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8 | 8 | import numpy |
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9 | 9 | |
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10 | 10 | from schainpy.model.graphics.jroplot_base import Plot, plt |
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11 | 11 | |
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12 | 12 | |
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13 | 13 | class ScopePlot(Plot): |
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14 | 14 | |
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15 | 15 | ''' |
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16 | 16 | Plot for Scope |
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17 | 17 | ''' |
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18 | 18 | |
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19 | 19 | CODE = 'scope' |
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20 | 20 | plot_name = 'Scope' |
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21 | 21 | plot_type = 'scatter' |
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22 | 22 | |
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23 | 23 | def setup(self): |
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24 | 24 | |
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25 | 25 | self.xaxis = 'Range (Km)' |
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26 | 26 | self.ncols = 1 |
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27 | 27 | self.nrows = 1 |
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28 | 28 | self.nplots = 1 |
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29 | 29 | self.ylabel = 'Intensity [dB]' |
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30 | 30 | self.titles = ['Scope'] |
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31 | 31 | self.colorbar = False |
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32 | 32 | self.width = 6 |
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33 | 33 | self.height = 4 |
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34 | 34 | |
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35 | 35 | def plot_iq(self, x, y, channelIndexList, thisDatetime, wintitle): |
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36 | 36 | |
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37 | 37 | yreal = y[channelIndexList,:].real |
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38 | 38 | yimag = y[channelIndexList,:].imag |
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39 | 39 | title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
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40 | 40 | self.xlabel = "Range (Km)" |
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41 | 41 | self.ylabel = "Intensity - IQ" |
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42 | 42 | |
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43 | 43 | self.y = yreal |
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44 | 44 | self.x = x |
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45 | 45 | self.xmin = min(x) |
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46 | 46 | self.xmax = max(x) |
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47 | 47 | |
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48 | 48 | |
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49 | 49 | self.titles[0] = title |
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50 | 50 | |
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51 | 51 | for i,ax in enumerate(self.axes): |
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52 | 52 | title = "Channel %d" %(i) |
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53 | 53 | if ax.firsttime: |
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54 | 54 | ax.plt_r = ax.plot(x, yreal[i,:], color='b')[0] |
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55 | 55 | ax.plt_i = ax.plot(x, yimag[i,:], color='r')[0] |
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56 | 56 | else: |
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57 | 57 | ax.plt_r.set_data(x, yreal[i,:]) |
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58 | 58 | ax.plt_i.set_data(x, yimag[i,:]) |
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59 | 59 | |
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60 | 60 | def plot_power(self, x, y, channelIndexList, thisDatetime, wintitle): |
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61 | 61 | y = y[channelIndexList,:] * numpy.conjugate(y[channelIndexList,:]) |
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62 | 62 | yreal = y.real |
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63 | 63 | yreal = 10*numpy.log10(yreal) |
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64 | 64 | self.y = yreal |
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65 | 65 | title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
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66 | 66 | self.xlabel = "Range (Km)" |
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67 | 67 | self.ylabel = "Intensity" |
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68 | 68 | self.xmin = min(x) |
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69 | 69 | self.xmax = max(x) |
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70 | 70 | |
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71 | 71 | |
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72 | 72 | self.titles[0] = title |
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73 | 73 | |
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74 | 74 | for i,ax in enumerate(self.axes): |
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75 | 75 | title = "Channel %d" %(i) |
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76 | 76 | |
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77 | 77 | ychannel = yreal[i,:] |
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78 | 78 | |
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79 | 79 | if ax.firsttime: |
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80 | 80 | ax.plt_r = ax.plot(x, ychannel)[0] |
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81 | 81 | else: |
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82 | 82 | #pass |
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83 | 83 | ax.plt_r.set_data(x, ychannel) |
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84 | 84 | |
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85 | 85 | def plot_weatherpower(self, x, y, channelIndexList, thisDatetime, wintitle): |
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86 | 86 | |
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87 | 87 | |
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88 | 88 | y = y[channelIndexList,:] |
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89 | 89 | yreal = y.real |
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90 | 90 | yreal = 10*numpy.log10(yreal) |
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91 | 91 | self.y = yreal |
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92 | 92 | title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
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93 | 93 | self.xlabel = "Range (Km)" |
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94 | 94 | self.ylabel = "Intensity" |
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95 | 95 | self.xmin = min(x) |
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96 | 96 | self.xmax = max(x) |
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97 | 97 | |
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98 | 98 | self.titles[0] =title |
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99 | 99 | for i,ax in enumerate(self.axes): |
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100 | 100 | title = "Channel %d" %(i) |
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101 | 101 | |
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102 | 102 | ychannel = yreal[i,:] |
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103 | 103 | |
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104 | 104 | if ax.firsttime: |
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105 | 105 | ax.plt_r = ax.plot(x, ychannel)[0] |
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106 | 106 | else: |
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107 | 107 | #pass |
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108 | 108 | ax.plt_r.set_data(x, ychannel) |
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109 | 109 | |
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110 | 110 | def plot_weathervelocity(self, x, y, channelIndexList, thisDatetime, wintitle): |
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111 | 111 | |
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112 | 112 | x = x[channelIndexList,:] |
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113 | 113 | yreal = y |
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114 | 114 | self.y = yreal |
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115 | 115 | title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
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116 | 116 | self.xlabel = "Velocity (m/s)" |
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117 | 117 | self.ylabel = "Range (Km)" |
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118 | 118 | self.xmin = numpy.min(x) |
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119 | 119 | self.xmax = numpy.max(x) |
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120 | 120 | self.titles[0] =title |
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121 | 121 | for i,ax in enumerate(self.axes): |
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122 | 122 | title = "Channel %d" %(i) |
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123 | 123 | xchannel = x[i,:] |
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124 | 124 | if ax.firsttime: |
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125 | 125 | ax.plt_r = ax.plot(xchannel, yreal)[0] |
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126 | 126 | else: |
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127 | 127 | #pass |
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128 | 128 | ax.plt_r.set_data(xchannel, yreal) |
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129 | 129 | |
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130 | 130 | def plot_weatherspecwidth(self, x, y, channelIndexList, thisDatetime, wintitle): |
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131 | 131 | |
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132 | 132 | x = x[channelIndexList,:] |
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133 | 133 | yreal = y |
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134 | 134 | self.y = yreal |
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135 | 135 | title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
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136 | 136 | self.xlabel = "width " |
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137 | 137 | self.ylabel = "Range (Km)" |
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138 | 138 | self.xmin = numpy.min(x) |
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139 | 139 | self.xmax = numpy.max(x) |
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140 | 140 | self.titles[0] =title |
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141 | 141 | for i,ax in enumerate(self.axes): |
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142 | 142 | title = "Channel %d" %(i) |
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143 | 143 | xchannel = x[i,:] |
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144 | 144 | if ax.firsttime: |
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145 | 145 | ax.plt_r = ax.plot(xchannel, yreal)[0] |
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146 | 146 | else: |
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147 | 147 | #pass |
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148 | 148 | ax.plt_r.set_data(xchannel, yreal) |
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149 | 149 | |
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150 | 150 | def plot(self): |
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151 | 151 | if self.channels: |
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152 | 152 | channels = self.channels |
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153 | 153 | else: |
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154 | 154 | channels = self.data.channels |
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155 | 155 | |
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156 | 156 | thisDatetime = datetime.datetime.utcfromtimestamp(self.data.times[-1]) |
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157 | 157 | if self.CODE == "pp_power": |
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158 | 158 | scope = self.data['pp_power'] |
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159 | elif self.CODE == "pp_signal": | |
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160 | scope = self.data["pp_signal"] | |
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159 | 161 | elif self.CODE == "pp_velocity": |
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160 | 162 | scope = self.data["pp_velocity"] |
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161 | 163 | elif self.CODE == "pp_specwidth": |
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162 | 164 | scope = self.data["pp_specwidth"] |
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163 | 165 | else: |
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164 | 166 | scope =self.data["scope"] |
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165 | 167 | |
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166 | 168 | if self.data.flagDataAsBlock: |
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167 | 169 | |
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168 | 170 | for i in range(self.data.nProfiles): |
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169 | 171 | |
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170 | 172 | wintitle1 = " [Profile = %d] " %i |
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171 | 173 | if self.CODE =="scope": |
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172 | 174 | if self.type == "power": |
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173 | 175 | self.plot_power(self.data.heights, |
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174 | 176 | scope[:,i,:], |
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175 | 177 | channels, |
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176 | 178 | thisDatetime, |
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177 | 179 | wintitle1 |
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178 | 180 | ) |
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179 | 181 | |
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180 | 182 | if self.type == "iq": |
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181 | 183 | self.plot_iq(self.data.heights, |
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182 | 184 | scope[:,i,:], |
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183 | 185 | channels, |
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184 | 186 | thisDatetime, |
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185 | 187 | wintitle1 |
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186 | 188 | ) |
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187 | 189 | if self.CODE=="pp_power": |
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188 | 190 | self.plot_weatherpower(self.data.heights, |
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189 | 191 | scope[:,i,:], |
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190 | 192 | channels, |
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191 | 193 | thisDatetime, |
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192 | 194 | wintitle |
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193 | 195 | ) |
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196 | if self.CODE=="pp_signal": | |
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197 | self.plot_weatherpower(self.data.heights, | |
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198 | scope[:,i,:], | |
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199 | channels, | |
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200 | thisDatetime, | |
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201 | wintitle | |
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202 | ) | |
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194 | 203 | if self.CODE=="pp_velocity": |
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195 | 204 | self.plot_weathervelocity(scope[:,i,:], |
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196 | 205 | self.data.heights, |
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197 | 206 | channels, |
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198 | 207 | thisDatetime, |
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199 | 208 | wintitle |
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200 | 209 | ) |
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201 | 210 | if self.CODE=="pp_spcwidth": |
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202 | 211 | self.plot_weatherspecwidth(scope[:,i,:], |
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203 | 212 | self.data.heights, |
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204 | 213 | channels, |
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205 | 214 | thisDatetime, |
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206 | 215 | wintitle |
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207 | 216 | ) |
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208 | 217 | else: |
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209 | 218 | wintitle = " [Profile = %d] " %self.data.profileIndex |
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210 | 219 | if self.CODE== "scope": |
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211 | 220 | if self.type == "power": |
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212 | 221 | self.plot_power(self.data.heights, |
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213 | 222 | scope, |
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214 | 223 | channels, |
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215 | 224 | thisDatetime, |
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216 | 225 | wintitle |
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217 | 226 | ) |
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218 | 227 | |
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219 | 228 | if self.type == "iq": |
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220 | 229 | self.plot_iq(self.data.heights, |
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221 | 230 | scope, |
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222 | 231 | channels, |
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223 | 232 | thisDatetime, |
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224 | 233 | wintitle |
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225 | 234 | ) |
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226 | 235 | if self.CODE=="pp_power": |
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227 | 236 | self.plot_weatherpower(self.data.heights, |
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228 | 237 | scope, |
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229 | 238 | channels, |
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230 | 239 | thisDatetime, |
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231 | 240 | wintitle |
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232 | 241 | ) |
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242 | if self.CODE=="pp_signal": | |
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243 | self.plot_weatherpower(self.data.heights, | |
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244 | scope, | |
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245 | channels, | |
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246 | thisDatetime, | |
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247 | wintitle | |
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248 | ) | |
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233 | 249 | if self.CODE=="pp_velocity": |
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234 | 250 | self.plot_weathervelocity(scope, |
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235 | 251 | self.data.heights, |
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236 | 252 | channels, |
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237 | 253 | thisDatetime, |
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238 | 254 | wintitle |
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239 | 255 | ) |
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240 | 256 | if self.CODE=="pp_specwidth": |
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241 | 257 | self.plot_weatherspecwidth(scope, |
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242 | 258 | self.data.heights, |
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243 | 259 | channels, |
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244 | 260 | thisDatetime, |
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245 | 261 | wintitle |
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246 | 262 | ) |
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247 | 263 | |
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248 | 264 | |
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249 | 265 | |
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250 | 266 | class PulsepairPowerPlot(ScopePlot): |
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251 | 267 | ''' |
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252 | Plot for | |
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268 | Plot for P= S+N | |
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253 | 269 | ''' |
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254 | 270 | |
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255 | 271 | CODE = 'pp_power' |
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256 | 272 | plot_name = 'PulsepairPower' |
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257 | 273 | plot_type = 'scatter' |
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258 | 274 | buffering = False |
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259 | 275 | |
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260 | 276 | class PulsepairVelocityPlot(ScopePlot): |
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261 | 277 | ''' |
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262 | Plot for | |
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278 | Plot for VELOCITY | |
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263 | 279 | ''' |
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264 | 280 | CODE = 'pp_velocity' |
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265 | 281 | plot_name = 'PulsepairVelocity' |
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266 | 282 | plot_type = 'scatter' |
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267 | 283 | buffering = False |
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268 | 284 | |
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269 | 285 | class PulsepairSpecwidthPlot(ScopePlot): |
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270 | 286 | ''' |
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271 | Plot for | |
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287 | Plot for WIDTH | |
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272 | 288 | ''' |
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273 | 289 | CODE = 'pp_specwidth' |
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274 | 290 | plot_name = 'PulsepairSpecwidth' |
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275 | 291 | plot_type = 'scatter' |
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276 | 292 | buffering = False |
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293 | ||
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294 | class PulsepairSignalPlot(ScopePlot): | |
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295 | ''' | |
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296 | Plot for S | |
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297 | ''' | |
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298 | ||
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299 | CODE = 'pp_signal' | |
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300 | plot_name = 'PulsepairSignal' | |
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301 | plot_type = 'scatter' | |
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302 | buffering = False |
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