@@ -1,209 +1,215 | |||||
1 | import numpy |
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1 | import numpy | |
2 | import datetime |
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2 | import datetime | |
3 | from graphics.figure import * |
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3 | from graphics.figure import * | |
4 |
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4 | |||
5 | class SpectraPlot(Figure): |
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5 | class SpectraPlot(Figure): | |
6 |
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6 | |||
7 | __isConfig = None |
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7 | __isConfig = None | |
8 |
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8 | |||
9 | def __init__(self): |
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9 | def __init__(self): | |
10 |
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10 | |||
11 | self.__isConfig = False |
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11 | self.__isConfig = False | |
12 | self.WIDTH = 300 |
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12 | self.WIDTH = 300 | |
13 | self.HEIGHT = 400 |
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13 | self.HEIGHT = 400 | |
14 |
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14 | |||
15 | def getSubplots(self): |
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15 | def getSubplots(self): | |
16 |
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16 | |||
17 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
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17 | ncol = int(numpy.sqrt(self.nplots)+0.9) | |
18 | nrow = int(self.nplots*1./ncol + 0.9) |
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18 | nrow = int(self.nplots*1./ncol + 0.9) | |
19 | return nrow, ncol |
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19 | return nrow, ncol | |
20 |
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20 | |||
21 | def setAxesWithOutProfiles(self, nrow, ncol): |
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21 | def setAxesWithOutProfiles(self, nrow, ncol): | |
22 |
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22 | |||
23 | colspan = 1 |
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23 | colspan = 1 | |
24 | rowspan = 1 |
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24 | rowspan = 1 | |
25 | counter = 0 |
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25 | counter = 0 | |
26 |
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26 | |||
27 | for y in range(nrow): |
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27 | for y in range(nrow): | |
28 | for x in range(ncol): |
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28 | for x in range(ncol): | |
29 | if counter < self.nplots: |
|
29 | if counter < self.nplots: | |
30 | self.addAxes(nrow, ncol, y, x, colspan, rowspan) |
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30 | self.addAxes(nrow, ncol, y, x, colspan, rowspan) | |
31 | counter += 1 |
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31 | counter += 1 | |
32 |
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32 | |||
33 | def setAxesWithProfiles(self, nrow, ncol): |
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33 | def setAxesWithProfiles(self, nrow, ncol): | |
34 |
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34 | |||
35 | colspan = 1 |
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35 | colspan = 1 | |
36 | rowspan = 1 |
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36 | rowspan = 1 | |
37 | factor = 2 |
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37 | factor = 2 | |
38 | ncol = ncol*factor |
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38 | ncol = ncol*factor | |
39 | counter = 0 |
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39 | counter = 0 | |
40 |
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40 | |||
41 | for y in range(nrow): |
|
41 | for y in range(nrow): | |
42 | for x in range(ncol): |
|
42 | for x in range(ncol): | |
43 | if counter < self.nplots*factor: |
|
43 | if counter < self.nplots*factor: | |
44 | # plt.subplot2grid((nrow, ncol), (y, x), colspan=colspan, rowspan=rowspan) |
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44 | # plt.subplot2grid((nrow, ncol), (y, x), colspan=colspan, rowspan=rowspan) | |
45 | self.addAxes(nrow, ncol, y, x, colspan, rowspan) |
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45 | self.addAxes(nrow, ncol, y, x, colspan, rowspan) | |
46 | counter += 1 |
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46 | counter += 1 | |
47 |
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47 | |||
48 | def setup(self, idfigure, nplots, wintitle, showprofile=True): |
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48 | def setup(self, idfigure, nplots, wintitle, showprofile=True): | |
49 |
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49 | |||
50 | self.init(idfigure, nplots, wintitle) |
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50 | self.init(idfigure, nplots, wintitle) | |
51 |
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51 | |||
52 | nrow, ncol = self.getSubplots() |
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52 | nrow, ncol = self.getSubplots() | |
53 |
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53 | |||
54 | if showprofile: |
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54 | if showprofile: | |
55 | self.setAxesWithProfiles(nrow, ncol) |
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55 | self.setAxesWithProfiles(nrow, ncol) | |
56 | else: |
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56 | else: | |
57 | self.setAxesWithOutProfiles(nrow, ncol) |
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57 | self.setAxesWithOutProfiles(nrow, ncol) | |
58 |
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58 | |||
59 | def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile=False, |
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59 | def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile=False, | |
60 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None): |
|
60 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None): | |
61 |
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61 | |||
62 | """ |
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62 | """ | |
63 |
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63 | |||
64 | Input: |
|
64 | Input: | |
65 | dataOut : |
|
65 | dataOut : | |
66 | idfigure : |
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66 | idfigure : | |
67 | wintitle : |
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67 | wintitle : | |
68 | channelList : |
|
68 | channelList : | |
69 | showProfile : |
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69 | showProfile : | |
70 | xmin : None, |
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70 | xmin : None, | |
71 | xmax : None, |
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71 | xmax : None, | |
72 | ymin : None, |
|
72 | ymin : None, | |
73 | ymax : None, |
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73 | ymax : None, | |
74 | zmin : None, |
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74 | zmin : None, | |
75 | zmax : None |
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75 | zmax : None | |
76 | """ |
|
76 | """ | |
77 |
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77 | |||
78 | if channelList == None: |
|
78 | if channelList == None: | |
79 | channelList = dataOut.channelList |
|
79 | channelIndexList = dataOut.channelIndexList | |
|
80 | else: | |||
|
81 | channelIndexList = [] | |||
|
82 | for channel in channelList: | |||
|
83 | if channel not in dataOut.channelList: | |||
|
84 | raise ValueError, "Channel %d is not in dataOut.channelList" | |||
|
85 | channelIndexList.append(channel) | |||
80 |
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86 | |||
81 | x = dataOut.getVelRange(1) |
|
87 | x = dataOut.getVelRange(1) | |
82 | y = dataOut.heightList |
|
88 | y = dataOut.heightList | |
83 | z = 10.*numpy.log10(dataOut.data_spc[channelList,:,:]) |
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89 | z = 10.*numpy.log10(dataOut.data_spc[channelIndexList,:,:]) | |
84 |
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90 | |||
85 | noise = dataOut.getNoise() |
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91 | noise = dataOut.getNoise() | |
86 |
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92 | |||
87 | if not self.__isConfig: |
|
93 | if not self.__isConfig: | |
88 |
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94 | |||
89 | nplots = len(channelList) |
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95 | nplots = len(channelIndexList) | |
90 |
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96 | |||
91 | self.setup(idfigure=idfigure, |
|
97 | self.setup(idfigure=idfigure, | |
92 | nplots=nplots, |
|
98 | nplots=nplots, | |
93 | wintitle=wintitle, |
|
99 | wintitle=wintitle, | |
94 | showprofile=showprofile) |
|
100 | showprofile=showprofile) | |
95 |
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101 | |||
96 | if xmin == None: xmin = numpy.nanmin(x) |
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102 | if xmin == None: xmin = numpy.nanmin(x) | |
97 | if xmax == None: xmax = numpy.nanmax(x) |
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103 | if xmax == None: xmax = numpy.nanmax(x) | |
98 | if ymin == None: ymin = numpy.nanmin(y) |
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104 | if ymin == None: ymin = numpy.nanmin(y) | |
99 | if ymax == None: ymax = numpy.nanmax(y) |
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105 | if ymax == None: ymax = numpy.nanmax(y) | |
100 | if zmin == None: zmin = numpy.nanmin(z)*0.9 |
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106 | if zmin == None: zmin = numpy.nanmin(z)*0.9 | |
101 | if zmax == None: zmax = numpy.nanmax(z)*0.9 |
|
107 | if zmax == None: zmax = numpy.nanmax(z)*0.9 | |
102 |
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108 | |||
103 | self.__isConfig = True |
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109 | self.__isConfig = True | |
104 |
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110 | |||
105 | thisDatetime = datetime.datetime.fromtimestamp(dataOut.utctime) |
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111 | thisDatetime = datetime.datetime.fromtimestamp(dataOut.utctime) | |
106 | title = "Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
112 | title = "Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
107 | xlabel = "Velocity (m/s)" |
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113 | xlabel = "Velocity (m/s)" | |
108 | ylabel = "Range (Km)" |
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114 | ylabel = "Range (Km)" | |
109 |
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115 | |||
110 | self.setWinTitle(title) |
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116 | self.setWinTitle(title) | |
111 |
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117 | |||
112 | for i in range(self.nplots): |
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118 | for i in range(self.nplots): | |
113 | title = "Channel %d: %4.2fdB" %(channelList[i], noise[i]) |
|
119 | title = "Channel %d: %4.2fdB" %(dataOut.channelList[i], noise[i]) | |
114 | zchannel = z[i,:,:] |
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120 | zchannel = z[i,:,:] | |
115 |
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121 | |||
116 | axes = self.axesList[i] |
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122 | axes = self.axesList[i] | |
117 | axes.pcolor(x, y, zchannel, |
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123 | axes.pcolor(x, y, zchannel, | |
118 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
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124 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
119 | xlabel=xlabel, ylabel=ylabel, title=title, |
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125 | xlabel=xlabel, ylabel=ylabel, title=title, | |
120 | ticksize=9, cblabel='dB') |
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126 | ticksize=9, cblabel='dB') | |
121 |
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127 | |||
122 | self.draw() |
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128 | self.draw() | |
123 |
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129 | |||
124 | class Scope(Figure): |
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130 | class Scope(Figure): | |
125 |
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131 | |||
126 | __isConfig = None |
|
132 | __isConfig = None | |
127 |
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133 | |||
128 | def __init__(self): |
|
134 | def __init__(self): | |
129 |
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135 | |||
130 | self.__isConfig = False |
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136 | self.__isConfig = False | |
131 | self.WIDTH = 600 |
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137 | self.WIDTH = 600 | |
132 | self.HEIGHT = 200 |
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138 | self.HEIGHT = 200 | |
133 |
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139 | |||
134 | def getSubplots(self): |
|
140 | def getSubplots(self): | |
135 |
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141 | |||
136 | nrow = self.nplots |
|
142 | nrow = self.nplots | |
137 | ncol = 3 |
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143 | ncol = 3 | |
138 | return nrow, ncol |
|
144 | return nrow, ncol | |
139 |
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145 | |||
140 | def setup(self, idfigure, nplots, wintitle): |
|
146 | def setup(self, idfigure, nplots, wintitle): | |
141 |
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147 | |||
142 | self.init(idfigure, nplots, wintitle) |
|
148 | self.init(idfigure, nplots, wintitle) | |
143 |
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149 | |||
144 | nrow,ncol = self.getSubplots() |
|
150 | nrow,ncol = self.getSubplots() | |
145 | colspan = 3 |
|
151 | colspan = 3 | |
146 | rowspan = 1 |
|
152 | rowspan = 1 | |
147 |
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153 | |||
148 | for i in range(nplots): |
|
154 | for i in range(nplots): | |
149 | self.addAxes(nrow, ncol, i, 0, colspan, rowspan) |
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155 | self.addAxes(nrow, ncol, i, 0, colspan, rowspan) | |
150 |
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156 | |||
151 | def run(self, dataOut, idfigure, wintitle="", channelList=None, |
|
157 | def run(self, dataOut, idfigure, wintitle="", channelList=None, | |
152 | xmin=None, xmax=None, ymin=None, ymax=None): |
|
158 | xmin=None, xmax=None, ymin=None, ymax=None): | |
153 |
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159 | |||
154 | """ |
|
160 | """ | |
155 |
|
161 | |||
156 | Input: |
|
162 | Input: | |
157 | dataOut : |
|
163 | dataOut : | |
158 | idfigure : |
|
164 | idfigure : | |
159 | wintitle : |
|
165 | wintitle : | |
160 | channelList : |
|
166 | channelList : | |
161 | xmin : None, |
|
167 | xmin : None, | |
162 | xmax : None, |
|
168 | xmax : None, | |
163 | ymin : None, |
|
169 | ymin : None, | |
164 | ymax : None, |
|
170 | ymax : None, | |
165 | """ |
|
171 | """ | |
166 |
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172 | |||
167 | if channelList == None: |
|
173 | if channelList == None: | |
168 | channelList = dataOut.channelList |
|
174 | channelList = dataOut.channelList | |
169 |
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175 | |||
170 | x = dataOut.heightList |
|
176 | x = dataOut.heightList | |
171 | y = dataOut.data[channelList,:] * numpy.conjugate(dataOut.data[channelList,:]) |
|
177 | y = dataOut.data[channelList,:] * numpy.conjugate(dataOut.data[channelList,:]) | |
172 | y = y.real |
|
178 | y = y.real | |
173 |
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179 | |||
174 | noise = dataOut.getNoise() |
|
180 | noise = dataOut.getNoise() | |
175 |
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181 | |||
176 | if not self.__isConfig: |
|
182 | if not self.__isConfig: | |
177 | nplots = len(channelList) |
|
183 | nplots = len(channelList) | |
178 |
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184 | |||
179 | self.setup(idfigure=idfigure, |
|
185 | self.setup(idfigure=idfigure, | |
180 | nplots=nplots, |
|
186 | nplots=nplots, | |
181 | wintitle=wintitle) |
|
187 | wintitle=wintitle) | |
182 |
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188 | |||
183 | if xmin == None: xmin = numpy.nanmin(x) |
|
189 | if xmin == None: xmin = numpy.nanmin(x) | |
184 | if xmax == None: xmax = numpy.nanmax(x) |
|
190 | if xmax == None: xmax = numpy.nanmax(x) | |
185 | if ymin == None: ymin = numpy.nanmin(y) |
|
191 | if ymin == None: ymin = numpy.nanmin(y) | |
186 | if ymax == None: ymax = numpy.nanmax(y) |
|
192 | if ymax == None: ymax = numpy.nanmax(y) | |
187 |
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193 | |||
188 | self.__isConfig = True |
|
194 | self.__isConfig = True | |
189 |
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195 | |||
190 |
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196 | |||
191 | thisDatetime = datetime.datetime.fromtimestamp(dataOut.utctime) |
|
197 | thisDatetime = datetime.datetime.fromtimestamp(dataOut.utctime) | |
192 | title = "Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
198 | title = "Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
193 | xlabel = "Range (Km)" |
|
199 | xlabel = "Range (Km)" | |
194 | ylabel = "Intensity" |
|
200 | ylabel = "Intensity" | |
195 |
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201 | |||
196 | self.setWinTitle(title) |
|
202 | self.setWinTitle(title) | |
197 |
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203 | |||
198 | for i in range(len(self.axesList)): |
|
204 | for i in range(len(self.axesList)): | |
199 | title = "Channel %d: %4.2fdB" %(i, noise[i]) |
|
205 | title = "Channel %d: %4.2fdB" %(i, noise[i]) | |
200 | axes = self.axesList[i] |
|
206 | axes = self.axesList[i] | |
201 | ychannel = y[i,:] |
|
207 | ychannel = y[i,:] | |
202 | axes.pline(x, ychannel, |
|
208 | axes.pline(x, ychannel, | |
203 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
209 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, | |
204 | xlabel=xlabel, ylabel=ylabel, title=title) |
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210 | xlabel=xlabel, ylabel=ylabel, title=title) | |
205 |
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211 | |||
206 | self.draw() |
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212 | self.draw() | |
207 |
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213 | |||
208 |
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214 | |||
209 | No newline at end of file |
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215 |
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