@@ -1,1542 +1,1542 | |||||
1 | ''' |
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1 | ''' | |
2 | Created on Jul 9, 2014 |
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2 | Created on Jul 9, 2014 | |
3 |
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3 | |||
4 | @author: roj-idl71 |
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4 | @author: roj-idl71 | |
5 | ''' |
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5 | ''' | |
6 | import os |
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6 | import os | |
7 | import datetime |
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7 | import datetime | |
8 | import numpy |
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8 | import numpy | |
9 |
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9 | |||
10 | from figure import Figure, isRealtime, isTimeInHourRange |
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10 | from figure import Figure, isRealtime, isTimeInHourRange | |
11 | from plotting_codes import * |
|
11 | from plotting_codes import * | |
12 |
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12 | |||
13 |
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13 | |||
14 | class SpectraPlot(Figure): |
|
14 | class SpectraPlot(Figure): | |
15 |
|
15 | |||
16 | isConfig = None |
|
16 | isConfig = None | |
17 | __nsubplots = None |
|
17 | __nsubplots = None | |
18 |
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18 | |||
19 | WIDTHPROF = None |
|
19 | WIDTHPROF = None | |
20 | HEIGHTPROF = None |
|
20 | HEIGHTPROF = None | |
21 | PREFIX = 'spc' |
|
21 | PREFIX = 'spc' | |
22 |
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22 | |||
23 | def __init__(self, **kwargs): |
|
23 | def __init__(self, **kwargs): | |
24 | Figure.__init__(self, **kwargs) |
|
24 | Figure.__init__(self, **kwargs) | |
25 | self.isConfig = False |
|
25 | self.isConfig = False | |
26 | self.__nsubplots = 1 |
|
26 | self.__nsubplots = 1 | |
27 |
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27 | |||
28 |
self.WIDTH = |
|
28 | self.WIDTH = 250 | |
29 |
self.HEIGHT = |
|
29 | self.HEIGHT = 250 | |
30 | self.WIDTHPROF = 120 |
|
30 | self.WIDTHPROF = 120 | |
31 | self.HEIGHTPROF = 0 |
|
31 | self.HEIGHTPROF = 0 | |
32 | self.counter_imagwr = 0 |
|
32 | self.counter_imagwr = 0 | |
33 |
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33 | |||
34 | self.PLOT_CODE = SPEC_CODE |
|
34 | self.PLOT_CODE = SPEC_CODE | |
35 |
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35 | |||
36 | self.FTP_WEI = None |
|
36 | self.FTP_WEI = None | |
37 | self.EXP_CODE = None |
|
37 | self.EXP_CODE = None | |
38 | self.SUB_EXP_CODE = None |
|
38 | self.SUB_EXP_CODE = None | |
39 | self.PLOT_POS = None |
|
39 | self.PLOT_POS = None | |
40 |
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40 | |||
41 | self.__xfilter_ena = False |
|
41 | self.__xfilter_ena = False | |
42 | self.__yfilter_ena = False |
|
42 | self.__yfilter_ena = False | |
43 |
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43 | |||
44 | def getSubplots(self): |
|
44 | def getSubplots(self): | |
45 |
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45 | |||
46 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
46 | ncol = int(numpy.sqrt(self.nplots)+0.9) | |
47 | nrow = int(self.nplots*1./ncol + 0.9) |
|
47 | nrow = int(self.nplots*1./ncol + 0.9) | |
48 |
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48 | |||
49 | return nrow, ncol |
|
49 | return nrow, ncol | |
50 |
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50 | |||
51 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
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51 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
52 |
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52 | |||
53 | self.__showprofile = showprofile |
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53 | self.__showprofile = showprofile | |
54 | self.nplots = nplots |
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54 | self.nplots = nplots | |
55 |
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55 | |||
56 | ncolspan = 1 |
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56 | ncolspan = 1 | |
57 | colspan = 1 |
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57 | colspan = 1 | |
58 | if showprofile: |
|
58 | if showprofile: | |
59 | ncolspan = 3 |
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59 | ncolspan = 3 | |
60 | colspan = 2 |
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60 | colspan = 2 | |
61 | self.__nsubplots = 2 |
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61 | self.__nsubplots = 2 | |
62 |
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62 | |||
63 | self.createFigure(id = id, |
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63 | self.createFigure(id = id, | |
64 | wintitle = wintitle, |
|
64 | wintitle = wintitle, | |
65 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
65 | widthplot = self.WIDTH + self.WIDTHPROF, | |
66 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
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66 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
67 | show=show) |
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67 | show=show) | |
68 |
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68 | |||
69 | nrow, ncol = self.getSubplots() |
|
69 | nrow, ncol = self.getSubplots() | |
70 |
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70 | |||
71 | counter = 0 |
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71 | counter = 0 | |
72 | for y in range(nrow): |
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72 | for y in range(nrow): | |
73 | for x in range(ncol): |
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73 | for x in range(ncol): | |
74 |
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74 | |||
75 | if counter >= self.nplots: |
|
75 | if counter >= self.nplots: | |
76 | break |
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76 | break | |
77 |
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77 | |||
78 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
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78 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
79 |
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79 | |||
80 | if showprofile: |
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80 | if showprofile: | |
81 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
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81 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
82 |
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82 | |||
83 | counter += 1 |
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83 | counter += 1 | |
84 |
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84 | |||
85 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
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85 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, | |
86 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
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86 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
87 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
87 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
88 | server=None, folder=None, username=None, password=None, |
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88 | server=None, folder=None, username=None, password=None, | |
89 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
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89 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, | |
90 | xaxis="frequency", colormap='jet', normFactor=None): |
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90 | xaxis="frequency", colormap='jet', normFactor=None): | |
91 |
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91 | |||
92 | """ |
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92 | """ | |
93 |
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93 | |||
94 | Input: |
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94 | Input: | |
95 | dataOut : |
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95 | dataOut : | |
96 | id : |
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96 | id : | |
97 | wintitle : |
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97 | wintitle : | |
98 | channelList : |
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98 | channelList : | |
99 | showProfile : |
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99 | showProfile : | |
100 | xmin : None, |
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100 | xmin : None, | |
101 | xmax : None, |
|
101 | xmax : None, | |
102 | ymin : None, |
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102 | ymin : None, | |
103 | ymax : None, |
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103 | ymax : None, | |
104 | zmin : None, |
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104 | zmin : None, | |
105 | zmax : None |
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105 | zmax : None | |
106 | """ |
|
106 | """ | |
107 | if realtime: |
|
107 | if realtime: | |
108 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
108 | if not(isRealtime(utcdatatime = dataOut.utctime)): | |
109 | print 'Skipping this plot function' |
|
109 | print 'Skipping this plot function' | |
110 | return |
|
110 | return | |
111 |
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111 | |||
112 | if channelList == None: |
|
112 | if channelList == None: | |
113 | channelIndexList = dataOut.channelIndexList |
|
113 | channelIndexList = dataOut.channelIndexList | |
114 | else: |
|
114 | else: | |
115 | channelIndexList = [] |
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115 | channelIndexList = [] | |
116 | for channel in channelList: |
|
116 | for channel in channelList: | |
117 | if channel not in dataOut.channelList: |
|
117 | if channel not in dataOut.channelList: | |
118 | raise ValueError, "Channel %d is not in dataOut.channelList" %channel |
|
118 | raise ValueError, "Channel %d is not in dataOut.channelList" %channel | |
119 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
119 | channelIndexList.append(dataOut.channelList.index(channel)) | |
120 |
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120 | |||
121 | if normFactor is None: |
|
121 | if normFactor is None: | |
122 | factor = dataOut.normFactor |
|
122 | factor = dataOut.normFactor | |
123 | else: |
|
123 | else: | |
124 | factor = normFactor |
|
124 | factor = normFactor | |
125 | if xaxis == "frequency": |
|
125 | if xaxis == "frequency": | |
126 | x = dataOut.getFreqRange(1)/1000. |
|
126 | x = dataOut.getFreqRange(1)/1000. | |
127 | xlabel = "Frequency (kHz)" |
|
127 | xlabel = "Frequency (kHz)" | |
128 |
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128 | |||
129 | elif xaxis == "time": |
|
129 | elif xaxis == "time": | |
130 | x = dataOut.getAcfRange(1) |
|
130 | x = dataOut.getAcfRange(1) | |
131 | xlabel = "Time (ms)" |
|
131 | xlabel = "Time (ms)" | |
132 |
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132 | |||
133 | else: |
|
133 | else: | |
134 | x = dataOut.getVelRange(1) |
|
134 | x = dataOut.getVelRange(1) | |
135 | xlabel = "Velocity (m/s)" |
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135 | xlabel = "Velocity (m/s)" | |
136 |
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136 | |||
137 | ylabel = "Range (Km)" |
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137 | ylabel = "Range (Km)" | |
138 |
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138 | |||
139 | y = dataOut.getHeiRange() |
|
139 | y = dataOut.getHeiRange() | |
140 |
|
140 | |||
141 | z = dataOut.data_spc/factor |
|
141 | z = dataOut.data_spc/factor | |
142 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
142 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
143 | zdB = 10*numpy.log10(z) |
|
143 | zdB = 10*numpy.log10(z) | |
144 |
|
144 | |||
145 | avg = numpy.average(z, axis=1) |
|
145 | avg = numpy.average(z, axis=1) | |
146 | avgdB = 10*numpy.log10(avg) |
|
146 | avgdB = 10*numpy.log10(avg) | |
147 |
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147 | |||
148 | noise = dataOut.getNoise()/factor |
|
148 | noise = dataOut.getNoise()/factor | |
149 | noisedB = 10*numpy.log10(noise) |
|
149 | noisedB = 10*numpy.log10(noise) | |
150 |
|
150 | |||
151 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
151 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
152 | title = wintitle + " Spectra" |
|
152 | title = wintitle + " Spectra" | |
153 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
153 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
154 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
154 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) | |
155 |
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155 | |||
156 | if not self.isConfig: |
|
156 | if not self.isConfig: | |
157 |
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157 | |||
158 | nplots = len(channelIndexList) |
|
158 | nplots = len(channelIndexList) | |
159 |
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159 | |||
160 | self.setup(id=id, |
|
160 | self.setup(id=id, | |
161 | nplots=nplots, |
|
161 | nplots=nplots, | |
162 | wintitle=wintitle, |
|
162 | wintitle=wintitle, | |
163 | showprofile=showprofile, |
|
163 | showprofile=showprofile, | |
164 | show=show) |
|
164 | show=show) | |
165 |
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165 | |||
166 | if xmin == None: xmin = numpy.nanmin(x) |
|
166 | if xmin == None: xmin = numpy.nanmin(x) | |
167 | if xmax == None: xmax = numpy.nanmax(x) |
|
167 | if xmax == None: xmax = numpy.nanmax(x) | |
168 | if ymin == None: ymin = numpy.nanmin(y) |
|
168 | if ymin == None: ymin = numpy.nanmin(y) | |
169 | if ymax == None: ymax = numpy.nanmax(y) |
|
169 | if ymax == None: ymax = numpy.nanmax(y) | |
170 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
170 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 | |
171 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
171 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 | |
172 |
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172 | |||
173 | self.FTP_WEI = ftp_wei |
|
173 | self.FTP_WEI = ftp_wei | |
174 | self.EXP_CODE = exp_code |
|
174 | self.EXP_CODE = exp_code | |
175 | self.SUB_EXP_CODE = sub_exp_code |
|
175 | self.SUB_EXP_CODE = sub_exp_code | |
176 | self.PLOT_POS = plot_pos |
|
176 | self.PLOT_POS = plot_pos | |
177 |
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177 | |||
178 | self.isConfig = True |
|
178 | self.isConfig = True | |
179 |
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179 | |||
180 | self.setWinTitle(title) |
|
180 | self.setWinTitle(title) | |
181 |
|
181 | |||
182 | for i in range(self.nplots): |
|
182 | for i in range(self.nplots): | |
183 | index = channelIndexList[i] |
|
183 | index = channelIndexList[i] | |
184 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
184 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
185 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) |
|
185 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) | |
186 | if len(dataOut.beam.codeList) != 0: |
|
186 | if len(dataOut.beam.codeList) != 0: | |
187 | title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[index], noisedB[index], dataOut.beam.azimuthList[index], dataOut.beam.zenithList[index], str_datetime) |
|
187 | title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[index], noisedB[index], dataOut.beam.azimuthList[index], dataOut.beam.zenithList[index], str_datetime) | |
188 |
|
188 | |||
189 | axes = self.axesList[i*self.__nsubplots] |
|
189 | axes = self.axesList[i*self.__nsubplots] | |
190 | axes.pcolor(x, y, zdB[index,:,:], |
|
190 | axes.pcolor(x, y, zdB[index,:,:], | |
191 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
191 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
192 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=colormap, |
|
192 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=colormap, | |
193 | ticksize=9, cblabel='') |
|
193 | ticksize=9, cblabel='') | |
194 |
|
194 | |||
195 | if self.__showprofile: |
|
195 | if self.__showprofile: | |
196 | axes = self.axesList[i*self.__nsubplots +1] |
|
196 | axes = self.axesList[i*self.__nsubplots +1] | |
197 | axes.pline(avgdB[index,:], y, |
|
197 | axes.pline(avgdB[index,:], y, | |
198 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
198 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
199 | xlabel='dB', ylabel='', title='', |
|
199 | xlabel='dB', ylabel='', title='', | |
200 | ytick_visible=False, |
|
200 | ytick_visible=False, | |
201 | grid='x') |
|
201 | grid='x') | |
202 |
|
202 | |||
203 | noiseline = numpy.repeat(noisedB[index], len(y)) |
|
203 | noiseline = numpy.repeat(noisedB[index], len(y)) | |
204 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
204 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) | |
205 |
|
205 | |||
206 | self.draw() |
|
206 | self.draw() | |
207 |
|
207 | |||
208 | if figfile == None: |
|
208 | if figfile == None: | |
209 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
209 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
210 | name = str_datetime |
|
210 | name = str_datetime | |
211 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
211 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
212 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
212 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) | |
213 | figfile = self.getFilename(name) |
|
213 | figfile = self.getFilename(name) | |
214 |
|
214 | |||
215 | self.save(figpath=figpath, |
|
215 | self.save(figpath=figpath, | |
216 | figfile=figfile, |
|
216 | figfile=figfile, | |
217 | save=save, |
|
217 | save=save, | |
218 | ftp=ftp, |
|
218 | ftp=ftp, | |
219 | wr_period=wr_period, |
|
219 | wr_period=wr_period, | |
220 | thisDatetime=thisDatetime) |
|
220 | thisDatetime=thisDatetime) | |
221 |
|
221 | |||
222 | class CrossSpectraPlot(Figure): |
|
222 | class CrossSpectraPlot(Figure): | |
223 |
|
223 | |||
224 | isConfig = None |
|
224 | isConfig = None | |
225 | __nsubplots = None |
|
225 | __nsubplots = None | |
226 |
|
226 | |||
227 | WIDTH = None |
|
227 | WIDTH = None | |
228 | HEIGHT = None |
|
228 | HEIGHT = None | |
229 | WIDTHPROF = None |
|
229 | WIDTHPROF = None | |
230 | HEIGHTPROF = None |
|
230 | HEIGHTPROF = None | |
231 | PREFIX = 'cspc' |
|
231 | PREFIX = 'cspc' | |
232 |
|
232 | |||
233 | def __init__(self, **kwargs): |
|
233 | def __init__(self, **kwargs): | |
234 | Figure.__init__(self, **kwargs) |
|
234 | Figure.__init__(self, **kwargs) | |
235 | self.isConfig = False |
|
235 | self.isConfig = False | |
236 | self.__nsubplots = 4 |
|
236 | self.__nsubplots = 4 | |
237 | self.counter_imagwr = 0 |
|
237 | self.counter_imagwr = 0 | |
238 | self.WIDTH = 250 |
|
238 | self.WIDTH = 250 | |
239 | self.HEIGHT = 250 |
|
239 | self.HEIGHT = 250 | |
240 | self.WIDTHPROF = 0 |
|
240 | self.WIDTHPROF = 0 | |
241 | self.HEIGHTPROF = 0 |
|
241 | self.HEIGHTPROF = 0 | |
242 |
|
242 | |||
243 | self.PLOT_CODE = CROSS_CODE |
|
243 | self.PLOT_CODE = CROSS_CODE | |
244 | self.FTP_WEI = None |
|
244 | self.FTP_WEI = None | |
245 | self.EXP_CODE = None |
|
245 | self.EXP_CODE = None | |
246 | self.SUB_EXP_CODE = None |
|
246 | self.SUB_EXP_CODE = None | |
247 | self.PLOT_POS = None |
|
247 | self.PLOT_POS = None | |
248 |
|
248 | |||
249 | def getSubplots(self): |
|
249 | def getSubplots(self): | |
250 |
|
250 | |||
251 | ncol = 4 |
|
251 | ncol = 4 | |
252 | nrow = self.nplots |
|
252 | nrow = self.nplots | |
253 |
|
253 | |||
254 | return nrow, ncol |
|
254 | return nrow, ncol | |
255 |
|
255 | |||
256 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
256 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
257 |
|
257 | |||
258 | self.__showprofile = showprofile |
|
258 | self.__showprofile = showprofile | |
259 | self.nplots = nplots |
|
259 | self.nplots = nplots | |
260 |
|
260 | |||
261 | ncolspan = 1 |
|
261 | ncolspan = 1 | |
262 | colspan = 1 |
|
262 | colspan = 1 | |
263 |
|
263 | |||
264 | self.createFigure(id = id, |
|
264 | self.createFigure(id = id, | |
265 | wintitle = wintitle, |
|
265 | wintitle = wintitle, | |
266 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
266 | widthplot = self.WIDTH + self.WIDTHPROF, | |
267 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
267 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
268 | show=True) |
|
268 | show=True) | |
269 |
|
269 | |||
270 | nrow, ncol = self.getSubplots() |
|
270 | nrow, ncol = self.getSubplots() | |
271 |
|
271 | |||
272 | counter = 0 |
|
272 | counter = 0 | |
273 | for y in range(nrow): |
|
273 | for y in range(nrow): | |
274 | for x in range(ncol): |
|
274 | for x in range(ncol): | |
275 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
275 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
276 |
|
276 | |||
277 | counter += 1 |
|
277 | counter += 1 | |
278 |
|
278 | |||
279 | def run(self, dataOut, id, wintitle="", pairsList=None, |
|
279 | def run(self, dataOut, id, wintitle="", pairsList=None, | |
280 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
280 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
281 | coh_min=None, coh_max=None, phase_min=None, phase_max=None, |
|
281 | coh_min=None, coh_max=None, phase_min=None, phase_max=None, | |
282 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, |
|
282 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, | |
283 | power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r', show=True, |
|
283 | power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r', show=True, | |
284 | server=None, folder=None, username=None, password=None, |
|
284 | server=None, folder=None, username=None, password=None, | |
285 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, normFactor=None, |
|
285 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, normFactor=None, | |
286 | xaxis='frequency'): |
|
286 | xaxis='frequency'): | |
287 |
|
287 | |||
288 | """ |
|
288 | """ | |
289 |
|
289 | |||
290 | Input: |
|
290 | Input: | |
291 | dataOut : |
|
291 | dataOut : | |
292 | id : |
|
292 | id : | |
293 | wintitle : |
|
293 | wintitle : | |
294 | channelList : |
|
294 | channelList : | |
295 | showProfile : |
|
295 | showProfile : | |
296 | xmin : None, |
|
296 | xmin : None, | |
297 | xmax : None, |
|
297 | xmax : None, | |
298 | ymin : None, |
|
298 | ymin : None, | |
299 | ymax : None, |
|
299 | ymax : None, | |
300 | zmin : None, |
|
300 | zmin : None, | |
301 | zmax : None |
|
301 | zmax : None | |
302 | """ |
|
302 | """ | |
303 |
|
303 | |||
304 | if pairsList == None: |
|
304 | if pairsList == None: | |
305 | pairsIndexList = dataOut.pairsIndexList |
|
305 | pairsIndexList = dataOut.pairsIndexList | |
306 | else: |
|
306 | else: | |
307 | pairsIndexList = [] |
|
307 | pairsIndexList = [] | |
308 | for pair in pairsList: |
|
308 | for pair in pairsList: | |
309 | if pair not in dataOut.pairsList: |
|
309 | if pair not in dataOut.pairsList: | |
310 | raise ValueError, "Pair %s is not in dataOut.pairsList" %str(pair) |
|
310 | raise ValueError, "Pair %s is not in dataOut.pairsList" %str(pair) | |
311 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
311 | pairsIndexList.append(dataOut.pairsList.index(pair)) | |
312 |
|
312 | |||
313 | if not pairsIndexList: |
|
313 | if not pairsIndexList: | |
314 | return |
|
314 | return | |
315 |
|
315 | |||
316 | if len(pairsIndexList) > 4: |
|
316 | if len(pairsIndexList) > 4: | |
317 | pairsIndexList = pairsIndexList[0:4] |
|
317 | pairsIndexList = pairsIndexList[0:4] | |
318 |
|
318 | |||
319 | if normFactor is None: |
|
319 | if normFactor is None: | |
320 | factor = dataOut.normFactor |
|
320 | factor = dataOut.normFactor | |
321 | else: |
|
321 | else: | |
322 | factor = normFactor |
|
322 | factor = normFactor | |
323 | x = dataOut.getVelRange(1) |
|
323 | x = dataOut.getVelRange(1) | |
324 | y = dataOut.getHeiRange() |
|
324 | y = dataOut.getHeiRange() | |
325 | z = dataOut.data_spc[:,:,:]/factor |
|
325 | z = dataOut.data_spc[:,:,:]/factor | |
326 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
326 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
327 |
|
327 | |||
328 | noise = dataOut.noise/factor |
|
328 | noise = dataOut.noise/factor | |
329 |
|
329 | |||
330 | zdB = 10*numpy.log10(z) |
|
330 | zdB = 10*numpy.log10(z) | |
331 | noisedB = 10*numpy.log10(noise) |
|
331 | noisedB = 10*numpy.log10(noise) | |
332 |
|
332 | |||
333 | if coh_min == None: |
|
333 | if coh_min == None: | |
334 | coh_min = 0.0 |
|
334 | coh_min = 0.0 | |
335 | if coh_max == None: |
|
335 | if coh_max == None: | |
336 | coh_max = 1.0 |
|
336 | coh_max = 1.0 | |
337 |
|
337 | |||
338 | if phase_min == None: |
|
338 | if phase_min == None: | |
339 | phase_min = -180 |
|
339 | phase_min = -180 | |
340 | if phase_max == None: |
|
340 | if phase_max == None: | |
341 | phase_max = 180 |
|
341 | phase_max = 180 | |
342 |
|
342 | |||
343 | #thisDatetime = dataOut.datatime |
|
343 | #thisDatetime = dataOut.datatime | |
344 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
344 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
345 | title = wintitle + " Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
345 | title = wintitle + " Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
346 | # xlabel = "Velocity (m/s)" |
|
346 | # xlabel = "Velocity (m/s)" | |
347 | ylabel = "Range (Km)" |
|
347 | ylabel = "Range (Km)" | |
348 |
|
348 | |||
349 | if xaxis == "frequency": |
|
349 | if xaxis == "frequency": | |
350 | x = dataOut.getFreqRange(1)/1000. |
|
350 | x = dataOut.getFreqRange(1)/1000. | |
351 | xlabel = "Frequency (kHz)" |
|
351 | xlabel = "Frequency (kHz)" | |
352 |
|
352 | |||
353 | elif xaxis == "time": |
|
353 | elif xaxis == "time": | |
354 | x = dataOut.getAcfRange(1) |
|
354 | x = dataOut.getAcfRange(1) | |
355 | xlabel = "Time (ms)" |
|
355 | xlabel = "Time (ms)" | |
356 |
|
356 | |||
357 | else: |
|
357 | else: | |
358 | x = dataOut.getVelRange(1) |
|
358 | x = dataOut.getVelRange(1) | |
359 | xlabel = "Velocity (m/s)" |
|
359 | xlabel = "Velocity (m/s)" | |
360 |
|
360 | |||
361 | if not self.isConfig: |
|
361 | if not self.isConfig: | |
362 |
|
362 | |||
363 | nplots = len(pairsIndexList) |
|
363 | nplots = len(pairsIndexList) | |
364 |
|
364 | |||
365 | self.setup(id=id, |
|
365 | self.setup(id=id, | |
366 | nplots=nplots, |
|
366 | nplots=nplots, | |
367 | wintitle=wintitle, |
|
367 | wintitle=wintitle, | |
368 | showprofile=False, |
|
368 | showprofile=False, | |
369 | show=show) |
|
369 | show=show) | |
370 |
|
370 | |||
371 | avg = numpy.abs(numpy.average(z, axis=1)) |
|
371 | avg = numpy.abs(numpy.average(z, axis=1)) | |
372 | avgdB = 10*numpy.log10(avg) |
|
372 | avgdB = 10*numpy.log10(avg) | |
373 |
|
373 | |||
374 | if xmin == None: xmin = numpy.nanmin(x) |
|
374 | if xmin == None: xmin = numpy.nanmin(x) | |
375 | if xmax == None: xmax = numpy.nanmax(x) |
|
375 | if xmax == None: xmax = numpy.nanmax(x) | |
376 | if ymin == None: ymin = numpy.nanmin(y) |
|
376 | if ymin == None: ymin = numpy.nanmin(y) | |
377 | if ymax == None: ymax = numpy.nanmax(y) |
|
377 | if ymax == None: ymax = numpy.nanmax(y) | |
378 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
378 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 | |
379 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
379 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 | |
380 |
|
380 | |||
381 | self.FTP_WEI = ftp_wei |
|
381 | self.FTP_WEI = ftp_wei | |
382 | self.EXP_CODE = exp_code |
|
382 | self.EXP_CODE = exp_code | |
383 | self.SUB_EXP_CODE = sub_exp_code |
|
383 | self.SUB_EXP_CODE = sub_exp_code | |
384 | self.PLOT_POS = plot_pos |
|
384 | self.PLOT_POS = plot_pos | |
385 |
|
385 | |||
386 | self.isConfig = True |
|
386 | self.isConfig = True | |
387 |
|
387 | |||
388 | self.setWinTitle(title) |
|
388 | self.setWinTitle(title) | |
389 |
|
389 | |||
390 | for i in range(self.nplots): |
|
390 | for i in range(self.nplots): | |
391 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
391 | pair = dataOut.pairsList[pairsIndexList[i]] | |
392 |
|
392 | |||
393 | chan_index0 = dataOut.channelList.index(pair[0]) |
|
393 | chan_index0 = dataOut.channelList.index(pair[0]) | |
394 | chan_index1 = dataOut.channelList.index(pair[1]) |
|
394 | chan_index1 = dataOut.channelList.index(pair[1]) | |
395 |
|
395 | |||
396 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
396 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
397 | title = "Ch%d: %4.2fdB: %s" %(pair[0], noisedB[chan_index0], str_datetime) |
|
397 | title = "Ch%d: %4.2fdB: %s" %(pair[0], noisedB[chan_index0], str_datetime) | |
398 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index0,:,:]/factor) |
|
398 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index0,:,:]/factor) | |
399 | axes0 = self.axesList[i*self.__nsubplots] |
|
399 | axes0 = self.axesList[i*self.__nsubplots] | |
400 | axes0.pcolor(x, y, zdB, |
|
400 | axes0.pcolor(x, y, zdB, | |
401 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
401 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
402 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
402 | xlabel=xlabel, ylabel=ylabel, title=title, | |
403 | ticksize=9, colormap=power_cmap, cblabel='') |
|
403 | ticksize=9, colormap=power_cmap, cblabel='') | |
404 |
|
404 | |||
405 | title = "Ch%d: %4.2fdB: %s" %(pair[1], noisedB[chan_index1], str_datetime) |
|
405 | title = "Ch%d: %4.2fdB: %s" %(pair[1], noisedB[chan_index1], str_datetime) | |
406 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index1,:,:]/factor) |
|
406 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index1,:,:]/factor) | |
407 | axes0 = self.axesList[i*self.__nsubplots+1] |
|
407 | axes0 = self.axesList[i*self.__nsubplots+1] | |
408 | axes0.pcolor(x, y, zdB, |
|
408 | axes0.pcolor(x, y, zdB, | |
409 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
409 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
410 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
410 | xlabel=xlabel, ylabel=ylabel, title=title, | |
411 | ticksize=9, colormap=power_cmap, cblabel='') |
|
411 | ticksize=9, colormap=power_cmap, cblabel='') | |
412 |
|
412 | |||
413 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[chan_index0,:,:]*dataOut.data_spc[chan_index1,:,:]) |
|
413 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[chan_index0,:,:]*dataOut.data_spc[chan_index1,:,:]) | |
414 | coherence = numpy.abs(coherenceComplex) |
|
414 | coherence = numpy.abs(coherenceComplex) | |
415 | # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi |
|
415 | # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi | |
416 | phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi |
|
416 | phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi | |
417 |
|
417 | |||
418 | title = "Coherence Ch%d * Ch%d" %(pair[0], pair[1]) |
|
418 | title = "Coherence Ch%d * Ch%d" %(pair[0], pair[1]) | |
419 | axes0 = self.axesList[i*self.__nsubplots+2] |
|
419 | axes0 = self.axesList[i*self.__nsubplots+2] | |
420 | axes0.pcolor(x, y, coherence, |
|
420 | axes0.pcolor(x, y, coherence, | |
421 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=coh_min, zmax=coh_max, |
|
421 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=coh_min, zmax=coh_max, | |
422 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
422 | xlabel=xlabel, ylabel=ylabel, title=title, | |
423 | ticksize=9, colormap=coherence_cmap, cblabel='') |
|
423 | ticksize=9, colormap=coherence_cmap, cblabel='') | |
424 |
|
424 | |||
425 | title = "Phase Ch%d * Ch%d" %(pair[0], pair[1]) |
|
425 | title = "Phase Ch%d * Ch%d" %(pair[0], pair[1]) | |
426 | axes0 = self.axesList[i*self.__nsubplots+3] |
|
426 | axes0 = self.axesList[i*self.__nsubplots+3] | |
427 | axes0.pcolor(x, y, phase, |
|
427 | axes0.pcolor(x, y, phase, | |
428 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, |
|
428 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, | |
429 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
429 | xlabel=xlabel, ylabel=ylabel, title=title, | |
430 | ticksize=9, colormap=phase_cmap, cblabel='') |
|
430 | ticksize=9, colormap=phase_cmap, cblabel='') | |
431 |
|
431 | |||
432 |
|
432 | |||
433 |
|
433 | |||
434 | self.draw() |
|
434 | self.draw() | |
435 |
|
435 | |||
436 | self.save(figpath=figpath, |
|
436 | self.save(figpath=figpath, | |
437 | figfile=figfile, |
|
437 | figfile=figfile, | |
438 | save=save, |
|
438 | save=save, | |
439 | ftp=ftp, |
|
439 | ftp=ftp, | |
440 | wr_period=wr_period, |
|
440 | wr_period=wr_period, | |
441 | thisDatetime=thisDatetime) |
|
441 | thisDatetime=thisDatetime) | |
442 |
|
442 | |||
443 |
|
443 | |||
444 | class RTIPlot(Figure): |
|
444 | class RTIPlot(Figure): | |
445 |
|
445 | |||
446 | __isConfig = None |
|
446 | __isConfig = None | |
447 | __nsubplots = None |
|
447 | __nsubplots = None | |
448 |
|
448 | |||
449 | WIDTHPROF = None |
|
449 | WIDTHPROF = None | |
450 | HEIGHTPROF = None |
|
450 | HEIGHTPROF = None | |
451 | PREFIX = 'rti' |
|
451 | PREFIX = 'rti' | |
452 |
|
452 | |||
453 | def __init__(self, **kwargs): |
|
453 | def __init__(self, **kwargs): | |
454 |
|
454 | |||
455 | Figure.__init__(self, **kwargs) |
|
455 | Figure.__init__(self, **kwargs) | |
456 | self.timerange = None |
|
456 | self.timerange = None | |
457 | self.isConfig = False |
|
457 | self.isConfig = False | |
458 | self.__nsubplots = 1 |
|
458 | self.__nsubplots = 1 | |
459 |
|
459 | |||
460 | self.WIDTH = 800 |
|
460 | self.WIDTH = 800 | |
461 | self.HEIGHT = 180 |
|
461 | self.HEIGHT = 180 | |
462 | self.WIDTHPROF = 120 |
|
462 | self.WIDTHPROF = 120 | |
463 | self.HEIGHTPROF = 0 |
|
463 | self.HEIGHTPROF = 0 | |
464 | self.counter_imagwr = 0 |
|
464 | self.counter_imagwr = 0 | |
465 |
|
465 | |||
466 | self.PLOT_CODE = RTI_CODE |
|
466 | self.PLOT_CODE = RTI_CODE | |
467 |
|
467 | |||
468 | self.FTP_WEI = None |
|
468 | self.FTP_WEI = None | |
469 | self.EXP_CODE = None |
|
469 | self.EXP_CODE = None | |
470 | self.SUB_EXP_CODE = None |
|
470 | self.SUB_EXP_CODE = None | |
471 | self.PLOT_POS = None |
|
471 | self.PLOT_POS = None | |
472 | self.tmin = None |
|
472 | self.tmin = None | |
473 | self.tmax = None |
|
473 | self.tmax = None | |
474 |
|
474 | |||
475 | self.xmin = None |
|
475 | self.xmin = None | |
476 | self.xmax = None |
|
476 | self.xmax = None | |
477 |
|
477 | |||
478 | self.figfile = None |
|
478 | self.figfile = None | |
479 |
|
479 | |||
480 | def getSubplots(self): |
|
480 | def getSubplots(self): | |
481 |
|
481 | |||
482 | ncol = 1 |
|
482 | ncol = 1 | |
483 | nrow = self.nplots |
|
483 | nrow = self.nplots | |
484 |
|
484 | |||
485 | return nrow, ncol |
|
485 | return nrow, ncol | |
486 |
|
486 | |||
487 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
487 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
488 |
|
488 | |||
489 | self.__showprofile = showprofile |
|
489 | self.__showprofile = showprofile | |
490 | self.nplots = nplots |
|
490 | self.nplots = nplots | |
491 |
|
491 | |||
492 | ncolspan = 1 |
|
492 | ncolspan = 1 | |
493 | colspan = 1 |
|
493 | colspan = 1 | |
494 | if showprofile: |
|
494 | if showprofile: | |
495 | ncolspan = 7 |
|
495 | ncolspan = 7 | |
496 | colspan = 6 |
|
496 | colspan = 6 | |
497 | self.__nsubplots = 2 |
|
497 | self.__nsubplots = 2 | |
498 |
|
498 | |||
499 | self.createFigure(id = id, |
|
499 | self.createFigure(id = id, | |
500 | wintitle = wintitle, |
|
500 | wintitle = wintitle, | |
501 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
501 | widthplot = self.WIDTH + self.WIDTHPROF, | |
502 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
502 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
503 | show=show) |
|
503 | show=show) | |
504 |
|
504 | |||
505 | nrow, ncol = self.getSubplots() |
|
505 | nrow, ncol = self.getSubplots() | |
506 |
|
506 | |||
507 | counter = 0 |
|
507 | counter = 0 | |
508 | for y in range(nrow): |
|
508 | for y in range(nrow): | |
509 | for x in range(ncol): |
|
509 | for x in range(ncol): | |
510 |
|
510 | |||
511 | if counter >= self.nplots: |
|
511 | if counter >= self.nplots: | |
512 | break |
|
512 | break | |
513 |
|
513 | |||
514 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
514 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
515 |
|
515 | |||
516 | if showprofile: |
|
516 | if showprofile: | |
517 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
517 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
518 |
|
518 | |||
519 | counter += 1 |
|
519 | counter += 1 | |
520 |
|
520 | |||
521 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
521 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', | |
522 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
522 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
523 | timerange=None, colormap='jet', |
|
523 | timerange=None, colormap='jet', | |
524 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
524 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, | |
525 | server=None, folder=None, username=None, password=None, |
|
525 | server=None, folder=None, username=None, password=None, | |
526 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, normFactor=None, HEIGHT=None): |
|
526 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, normFactor=None, HEIGHT=None): | |
527 |
|
527 | |||
528 | """ |
|
528 | """ | |
529 |
|
529 | |||
530 | Input: |
|
530 | Input: | |
531 | dataOut : |
|
531 | dataOut : | |
532 | id : |
|
532 | id : | |
533 | wintitle : |
|
533 | wintitle : | |
534 | channelList : |
|
534 | channelList : | |
535 | showProfile : |
|
535 | showProfile : | |
536 | xmin : None, |
|
536 | xmin : None, | |
537 | xmax : None, |
|
537 | xmax : None, | |
538 | ymin : None, |
|
538 | ymin : None, | |
539 | ymax : None, |
|
539 | ymax : None, | |
540 | zmin : None, |
|
540 | zmin : None, | |
541 | zmax : None |
|
541 | zmax : None | |
542 | """ |
|
542 | """ | |
543 |
|
543 | |||
544 | #colormap = kwargs.get('colormap', 'jet') |
|
544 | #colormap = kwargs.get('colormap', 'jet') | |
545 | if HEIGHT is not None: |
|
545 | if HEIGHT is not None: | |
546 | self.HEIGHT = HEIGHT |
|
546 | self.HEIGHT = HEIGHT | |
547 |
|
547 | |||
548 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
548 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
549 | return |
|
549 | return | |
550 |
|
550 | |||
551 | if channelList == None: |
|
551 | if channelList == None: | |
552 | channelIndexList = dataOut.channelIndexList |
|
552 | channelIndexList = dataOut.channelIndexList | |
553 | else: |
|
553 | else: | |
554 | channelIndexList = [] |
|
554 | channelIndexList = [] | |
555 | for channel in channelList: |
|
555 | for channel in channelList: | |
556 | if channel not in dataOut.channelList: |
|
556 | if channel not in dataOut.channelList: | |
557 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
557 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
558 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
558 | channelIndexList.append(dataOut.channelList.index(channel)) | |
559 |
|
559 | |||
560 | if normFactor is None: |
|
560 | if normFactor is None: | |
561 | factor = dataOut.normFactor |
|
561 | factor = dataOut.normFactor | |
562 | else: |
|
562 | else: | |
563 | factor = normFactor |
|
563 | factor = normFactor | |
564 |
|
564 | |||
565 | # factor = dataOut.normFactor |
|
565 | # factor = dataOut.normFactor | |
566 | x = dataOut.getTimeRange() |
|
566 | x = dataOut.getTimeRange() | |
567 | y = dataOut.getHeiRange() |
|
567 | y = dataOut.getHeiRange() | |
568 |
|
568 | |||
569 | z = dataOut.data_spc/factor |
|
569 | z = dataOut.data_spc/factor | |
570 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
570 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
571 | avg = numpy.average(z, axis=1) |
|
571 | avg = numpy.average(z, axis=1) | |
572 | avgdB = 10.*numpy.log10(avg) |
|
572 | avgdB = 10.*numpy.log10(avg) | |
573 | # avgdB = dataOut.getPower() |
|
573 | # avgdB = dataOut.getPower() | |
574 |
|
574 | |||
575 |
|
575 | |||
576 | thisDatetime = dataOut.datatime |
|
576 | thisDatetime = dataOut.datatime | |
577 | # thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
577 | # thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
578 | title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
578 | title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
579 | xlabel = "" |
|
579 | xlabel = "" | |
580 | ylabel = "Range (Km)" |
|
580 | ylabel = "Range (Km)" | |
581 |
|
581 | |||
582 | update_figfile = False |
|
582 | update_figfile = False | |
583 |
|
583 | |||
584 | if dataOut.ltctime >= self.xmax: |
|
584 | if dataOut.ltctime >= self.xmax: | |
585 | self.counter_imagwr = wr_period |
|
585 | self.counter_imagwr = wr_period | |
586 | self.isConfig = False |
|
586 | self.isConfig = False | |
587 | update_figfile = True |
|
587 | update_figfile = True | |
588 |
|
588 | |||
589 | if not self.isConfig: |
|
589 | if not self.isConfig: | |
590 |
|
590 | |||
591 | nplots = len(channelIndexList) |
|
591 | nplots = len(channelIndexList) | |
592 |
|
592 | |||
593 | self.setup(id=id, |
|
593 | self.setup(id=id, | |
594 | nplots=nplots, |
|
594 | nplots=nplots, | |
595 | wintitle=wintitle, |
|
595 | wintitle=wintitle, | |
596 | showprofile=showprofile, |
|
596 | showprofile=showprofile, | |
597 | show=show) |
|
597 | show=show) | |
598 |
|
598 | |||
599 | if timerange != None: |
|
599 | if timerange != None: | |
600 | self.timerange = timerange |
|
600 | self.timerange = timerange | |
601 |
|
601 | |||
602 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
602 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
603 |
|
603 | |||
604 | noise = dataOut.noise/factor |
|
604 | noise = dataOut.noise/factor | |
605 | noisedB = 10*numpy.log10(noise) |
|
605 | noisedB = 10*numpy.log10(noise) | |
606 |
|
606 | |||
607 | if ymin == None: ymin = numpy.nanmin(y) |
|
607 | if ymin == None: ymin = numpy.nanmin(y) | |
608 | if ymax == None: ymax = numpy.nanmax(y) |
|
608 | if ymax == None: ymax = numpy.nanmax(y) | |
609 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
609 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 | |
610 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
610 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 | |
611 |
|
611 | |||
612 | self.FTP_WEI = ftp_wei |
|
612 | self.FTP_WEI = ftp_wei | |
613 | self.EXP_CODE = exp_code |
|
613 | self.EXP_CODE = exp_code | |
614 | self.SUB_EXP_CODE = sub_exp_code |
|
614 | self.SUB_EXP_CODE = sub_exp_code | |
615 | self.PLOT_POS = plot_pos |
|
615 | self.PLOT_POS = plot_pos | |
616 |
|
616 | |||
617 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
617 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
618 | self.isConfig = True |
|
618 | self.isConfig = True | |
619 | self.figfile = figfile |
|
619 | self.figfile = figfile | |
620 | update_figfile = True |
|
620 | update_figfile = True | |
621 |
|
621 | |||
622 | self.setWinTitle(title) |
|
622 | self.setWinTitle(title) | |
623 |
|
623 | |||
624 | for i in range(self.nplots): |
|
624 | for i in range(self.nplots): | |
625 | index = channelIndexList[i] |
|
625 | index = channelIndexList[i] | |
626 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
626 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
627 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
627 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
628 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
628 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) | |
629 | axes = self.axesList[i*self.__nsubplots] |
|
629 | axes = self.axesList[i*self.__nsubplots] | |
630 | zdB = avgdB[index].reshape((1,-1)) |
|
630 | zdB = avgdB[index].reshape((1,-1)) | |
631 | axes.pcolorbuffer(x, y, zdB, |
|
631 | axes.pcolorbuffer(x, y, zdB, | |
632 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
632 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
633 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
633 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
634 | ticksize=9, cblabel='', cbsize="1%", colormap=colormap) |
|
634 | ticksize=9, cblabel='', cbsize="1%", colormap=colormap) | |
635 |
|
635 | |||
636 | if self.__showprofile: |
|
636 | if self.__showprofile: | |
637 | axes = self.axesList[i*self.__nsubplots +1] |
|
637 | axes = self.axesList[i*self.__nsubplots +1] | |
638 | axes.pline(avgdB[index], y, |
|
638 | axes.pline(avgdB[index], y, | |
639 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
639 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
640 | xlabel='dB', ylabel='', title='', |
|
640 | xlabel='dB', ylabel='', title='', | |
641 | ytick_visible=False, |
|
641 | ytick_visible=False, | |
642 | grid='x') |
|
642 | grid='x') | |
643 |
|
643 | |||
644 | self.draw() |
|
644 | self.draw() | |
645 |
|
645 | |||
646 | self.save(figpath=figpath, |
|
646 | self.save(figpath=figpath, | |
647 | figfile=figfile, |
|
647 | figfile=figfile, | |
648 | save=save, |
|
648 | save=save, | |
649 | ftp=ftp, |
|
649 | ftp=ftp, | |
650 | wr_period=wr_period, |
|
650 | wr_period=wr_period, | |
651 | thisDatetime=thisDatetime, |
|
651 | thisDatetime=thisDatetime, | |
652 | update_figfile=update_figfile) |
|
652 | update_figfile=update_figfile) | |
653 |
|
653 | |||
654 | class CoherenceMap(Figure): |
|
654 | class CoherenceMap(Figure): | |
655 | isConfig = None |
|
655 | isConfig = None | |
656 | __nsubplots = None |
|
656 | __nsubplots = None | |
657 |
|
657 | |||
658 | WIDTHPROF = None |
|
658 | WIDTHPROF = None | |
659 | HEIGHTPROF = None |
|
659 | HEIGHTPROF = None | |
660 | PREFIX = 'cmap' |
|
660 | PREFIX = 'cmap' | |
661 |
|
661 | |||
662 | def __init__(self, **kwargs): |
|
662 | def __init__(self, **kwargs): | |
663 | Figure.__init__(self, **kwargs) |
|
663 | Figure.__init__(self, **kwargs) | |
664 | self.timerange = 2*60*60 |
|
664 | self.timerange = 2*60*60 | |
665 | self.isConfig = False |
|
665 | self.isConfig = False | |
666 | self.__nsubplots = 1 |
|
666 | self.__nsubplots = 1 | |
667 |
|
667 | |||
668 | self.WIDTH = 800 |
|
668 | self.WIDTH = 800 | |
669 | self.HEIGHT = 180 |
|
669 | self.HEIGHT = 180 | |
670 | self.WIDTHPROF = 120 |
|
670 | self.WIDTHPROF = 120 | |
671 | self.HEIGHTPROF = 0 |
|
671 | self.HEIGHTPROF = 0 | |
672 | self.counter_imagwr = 0 |
|
672 | self.counter_imagwr = 0 | |
673 |
|
673 | |||
674 | self.PLOT_CODE = COH_CODE |
|
674 | self.PLOT_CODE = COH_CODE | |
675 |
|
675 | |||
676 | self.FTP_WEI = None |
|
676 | self.FTP_WEI = None | |
677 | self.EXP_CODE = None |
|
677 | self.EXP_CODE = None | |
678 | self.SUB_EXP_CODE = None |
|
678 | self.SUB_EXP_CODE = None | |
679 | self.PLOT_POS = None |
|
679 | self.PLOT_POS = None | |
680 | self.counter_imagwr = 0 |
|
680 | self.counter_imagwr = 0 | |
681 |
|
681 | |||
682 | self.xmin = None |
|
682 | self.xmin = None | |
683 | self.xmax = None |
|
683 | self.xmax = None | |
684 |
|
684 | |||
685 | def getSubplots(self): |
|
685 | def getSubplots(self): | |
686 | ncol = 1 |
|
686 | ncol = 1 | |
687 | nrow = self.nplots*2 |
|
687 | nrow = self.nplots*2 | |
688 |
|
688 | |||
689 | return nrow, ncol |
|
689 | return nrow, ncol | |
690 |
|
690 | |||
691 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
691 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
692 | self.__showprofile = showprofile |
|
692 | self.__showprofile = showprofile | |
693 | self.nplots = nplots |
|
693 | self.nplots = nplots | |
694 |
|
694 | |||
695 | ncolspan = 1 |
|
695 | ncolspan = 1 | |
696 | colspan = 1 |
|
696 | colspan = 1 | |
697 | if showprofile: |
|
697 | if showprofile: | |
698 | ncolspan = 7 |
|
698 | ncolspan = 7 | |
699 | colspan = 6 |
|
699 | colspan = 6 | |
700 | self.__nsubplots = 2 |
|
700 | self.__nsubplots = 2 | |
701 |
|
701 | |||
702 | self.createFigure(id = id, |
|
702 | self.createFigure(id = id, | |
703 | wintitle = wintitle, |
|
703 | wintitle = wintitle, | |
704 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
704 | widthplot = self.WIDTH + self.WIDTHPROF, | |
705 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
705 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
706 | show=True) |
|
706 | show=True) | |
707 |
|
707 | |||
708 | nrow, ncol = self.getSubplots() |
|
708 | nrow, ncol = self.getSubplots() | |
709 |
|
709 | |||
710 | for y in range(nrow): |
|
710 | for y in range(nrow): | |
711 | for x in range(ncol): |
|
711 | for x in range(ncol): | |
712 |
|
712 | |||
713 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
713 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
714 |
|
714 | |||
715 | if showprofile: |
|
715 | if showprofile: | |
716 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
716 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
717 |
|
717 | |||
718 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
718 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', | |
719 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
719 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
720 | timerange=None, phase_min=None, phase_max=None, |
|
720 | timerange=None, phase_min=None, phase_max=None, | |
721 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, |
|
721 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, | |
722 | coherence_cmap='jet', phase_cmap='RdBu_r', show=True, |
|
722 | coherence_cmap='jet', phase_cmap='RdBu_r', show=True, | |
723 | server=None, folder=None, username=None, password=None, |
|
723 | server=None, folder=None, username=None, password=None, | |
724 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
724 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
725 |
|
725 | |||
726 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
726 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
727 | return |
|
727 | return | |
728 |
|
728 | |||
729 | if pairsList == None: |
|
729 | if pairsList == None: | |
730 | pairsIndexList = dataOut.pairsIndexList |
|
730 | pairsIndexList = dataOut.pairsIndexList | |
731 | else: |
|
731 | else: | |
732 | pairsIndexList = [] |
|
732 | pairsIndexList = [] | |
733 | for pair in pairsList: |
|
733 | for pair in pairsList: | |
734 | if pair not in dataOut.pairsList: |
|
734 | if pair not in dataOut.pairsList: | |
735 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
735 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) | |
736 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
736 | pairsIndexList.append(dataOut.pairsList.index(pair)) | |
737 |
|
737 | |||
738 | if pairsIndexList == []: |
|
738 | if pairsIndexList == []: | |
739 | return |
|
739 | return | |
740 |
|
740 | |||
741 | if len(pairsIndexList) > 4: |
|
741 | if len(pairsIndexList) > 4: | |
742 | pairsIndexList = pairsIndexList[0:4] |
|
742 | pairsIndexList = pairsIndexList[0:4] | |
743 |
|
743 | |||
744 | if phase_min == None: |
|
744 | if phase_min == None: | |
745 | phase_min = -180 |
|
745 | phase_min = -180 | |
746 | if phase_max == None: |
|
746 | if phase_max == None: | |
747 | phase_max = 180 |
|
747 | phase_max = 180 | |
748 |
|
748 | |||
749 | x = dataOut.getTimeRange() |
|
749 | x = dataOut.getTimeRange() | |
750 | y = dataOut.getHeiRange() |
|
750 | y = dataOut.getHeiRange() | |
751 |
|
751 | |||
752 | thisDatetime = dataOut.datatime |
|
752 | thisDatetime = dataOut.datatime | |
753 |
|
753 | |||
754 | title = wintitle + " CoherenceMap" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
754 | title = wintitle + " CoherenceMap" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
755 | xlabel = "" |
|
755 | xlabel = "" | |
756 | ylabel = "Range (Km)" |
|
756 | ylabel = "Range (Km)" | |
757 | update_figfile = False |
|
757 | update_figfile = False | |
758 |
|
758 | |||
759 | if not self.isConfig: |
|
759 | if not self.isConfig: | |
760 | nplots = len(pairsIndexList) |
|
760 | nplots = len(pairsIndexList) | |
761 | self.setup(id=id, |
|
761 | self.setup(id=id, | |
762 | nplots=nplots, |
|
762 | nplots=nplots, | |
763 | wintitle=wintitle, |
|
763 | wintitle=wintitle, | |
764 | showprofile=showprofile, |
|
764 | showprofile=showprofile, | |
765 | show=show) |
|
765 | show=show) | |
766 |
|
766 | |||
767 | if timerange != None: |
|
767 | if timerange != None: | |
768 | self.timerange = timerange |
|
768 | self.timerange = timerange | |
769 |
|
769 | |||
770 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
770 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
771 |
|
771 | |||
772 | if ymin == None: ymin = numpy.nanmin(y) |
|
772 | if ymin == None: ymin = numpy.nanmin(y) | |
773 | if ymax == None: ymax = numpy.nanmax(y) |
|
773 | if ymax == None: ymax = numpy.nanmax(y) | |
774 | if zmin == None: zmin = 0. |
|
774 | if zmin == None: zmin = 0. | |
775 | if zmax == None: zmax = 1. |
|
775 | if zmax == None: zmax = 1. | |
776 |
|
776 | |||
777 | self.FTP_WEI = ftp_wei |
|
777 | self.FTP_WEI = ftp_wei | |
778 | self.EXP_CODE = exp_code |
|
778 | self.EXP_CODE = exp_code | |
779 | self.SUB_EXP_CODE = sub_exp_code |
|
779 | self.SUB_EXP_CODE = sub_exp_code | |
780 | self.PLOT_POS = plot_pos |
|
780 | self.PLOT_POS = plot_pos | |
781 |
|
781 | |||
782 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
782 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
783 |
|
783 | |||
784 | self.isConfig = True |
|
784 | self.isConfig = True | |
785 | update_figfile = True |
|
785 | update_figfile = True | |
786 |
|
786 | |||
787 | self.setWinTitle(title) |
|
787 | self.setWinTitle(title) | |
788 |
|
788 | |||
789 | for i in range(self.nplots): |
|
789 | for i in range(self.nplots): | |
790 |
|
790 | |||
791 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
791 | pair = dataOut.pairsList[pairsIndexList[i]] | |
792 |
|
792 | |||
793 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0) |
|
793 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0) | |
794 | powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0) |
|
794 | powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0) | |
795 | powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0) |
|
795 | powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0) | |
796 |
|
796 | |||
797 |
|
797 | |||
798 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
798 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) | |
799 | coherence = numpy.abs(avgcoherenceComplex) |
|
799 | coherence = numpy.abs(avgcoherenceComplex) | |
800 |
|
800 | |||
801 | z = coherence.reshape((1,-1)) |
|
801 | z = coherence.reshape((1,-1)) | |
802 |
|
802 | |||
803 | counter = 0 |
|
803 | counter = 0 | |
804 |
|
804 | |||
805 | title = "Coherence Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
805 | title = "Coherence Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
806 | axes = self.axesList[i*self.__nsubplots*2] |
|
806 | axes = self.axesList[i*self.__nsubplots*2] | |
807 | axes.pcolorbuffer(x, y, z, |
|
807 | axes.pcolorbuffer(x, y, z, | |
808 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
808 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
809 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
809 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
810 | ticksize=9, cblabel='', colormap=coherence_cmap, cbsize="1%") |
|
810 | ticksize=9, cblabel='', colormap=coherence_cmap, cbsize="1%") | |
811 |
|
811 | |||
812 | if self.__showprofile: |
|
812 | if self.__showprofile: | |
813 | counter += 1 |
|
813 | counter += 1 | |
814 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
814 | axes = self.axesList[i*self.__nsubplots*2 + counter] | |
815 | axes.pline(coherence, y, |
|
815 | axes.pline(coherence, y, | |
816 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
816 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
817 | xlabel='', ylabel='', title='', ticksize=7, |
|
817 | xlabel='', ylabel='', title='', ticksize=7, | |
818 | ytick_visible=False, nxticks=5, |
|
818 | ytick_visible=False, nxticks=5, | |
819 | grid='x') |
|
819 | grid='x') | |
820 |
|
820 | |||
821 | counter += 1 |
|
821 | counter += 1 | |
822 |
|
822 | |||
823 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
823 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi | |
824 |
|
824 | |||
825 | z = phase.reshape((1,-1)) |
|
825 | z = phase.reshape((1,-1)) | |
826 |
|
826 | |||
827 | title = "Phase Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
827 | title = "Phase Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
828 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
828 | axes = self.axesList[i*self.__nsubplots*2 + counter] | |
829 | axes.pcolorbuffer(x, y, z, |
|
829 | axes.pcolorbuffer(x, y, z, | |
830 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, |
|
830 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, | |
831 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
831 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
832 | ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%") |
|
832 | ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%") | |
833 |
|
833 | |||
834 | if self.__showprofile: |
|
834 | if self.__showprofile: | |
835 | counter += 1 |
|
835 | counter += 1 | |
836 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
836 | axes = self.axesList[i*self.__nsubplots*2 + counter] | |
837 | axes.pline(phase, y, |
|
837 | axes.pline(phase, y, | |
838 | xmin=phase_min, xmax=phase_max, ymin=ymin, ymax=ymax, |
|
838 | xmin=phase_min, xmax=phase_max, ymin=ymin, ymax=ymax, | |
839 | xlabel='', ylabel='', title='', ticksize=7, |
|
839 | xlabel='', ylabel='', title='', ticksize=7, | |
840 | ytick_visible=False, nxticks=4, |
|
840 | ytick_visible=False, nxticks=4, | |
841 | grid='x') |
|
841 | grid='x') | |
842 |
|
842 | |||
843 | self.draw() |
|
843 | self.draw() | |
844 |
|
844 | |||
845 | if dataOut.ltctime >= self.xmax: |
|
845 | if dataOut.ltctime >= self.xmax: | |
846 | self.counter_imagwr = wr_period |
|
846 | self.counter_imagwr = wr_period | |
847 | self.isConfig = False |
|
847 | self.isConfig = False | |
848 | update_figfile = True |
|
848 | update_figfile = True | |
849 |
|
849 | |||
850 | self.save(figpath=figpath, |
|
850 | self.save(figpath=figpath, | |
851 | figfile=figfile, |
|
851 | figfile=figfile, | |
852 | save=save, |
|
852 | save=save, | |
853 | ftp=ftp, |
|
853 | ftp=ftp, | |
854 | wr_period=wr_period, |
|
854 | wr_period=wr_period, | |
855 | thisDatetime=thisDatetime, |
|
855 | thisDatetime=thisDatetime, | |
856 | update_figfile=update_figfile) |
|
856 | update_figfile=update_figfile) | |
857 |
|
857 | |||
858 | class PowerProfilePlot(Figure): |
|
858 | class PowerProfilePlot(Figure): | |
859 |
|
859 | |||
860 | isConfig = None |
|
860 | isConfig = None | |
861 | __nsubplots = None |
|
861 | __nsubplots = None | |
862 |
|
862 | |||
863 | WIDTHPROF = None |
|
863 | WIDTHPROF = None | |
864 | HEIGHTPROF = None |
|
864 | HEIGHTPROF = None | |
865 | PREFIX = 'spcprofile' |
|
865 | PREFIX = 'spcprofile' | |
866 |
|
866 | |||
867 | def __init__(self, **kwargs): |
|
867 | def __init__(self, **kwargs): | |
868 | Figure.__init__(self, **kwargs) |
|
868 | Figure.__init__(self, **kwargs) | |
869 | self.isConfig = False |
|
869 | self.isConfig = False | |
870 | self.__nsubplots = 1 |
|
870 | self.__nsubplots = 1 | |
871 |
|
871 | |||
872 | self.PLOT_CODE = POWER_CODE |
|
872 | self.PLOT_CODE = POWER_CODE | |
873 |
|
873 | |||
874 | self.WIDTH = 300 |
|
874 | self.WIDTH = 300 | |
875 | self.HEIGHT = 500 |
|
875 | self.HEIGHT = 500 | |
876 | self.counter_imagwr = 0 |
|
876 | self.counter_imagwr = 0 | |
877 |
|
877 | |||
878 | def getSubplots(self): |
|
878 | def getSubplots(self): | |
879 | ncol = 1 |
|
879 | ncol = 1 | |
880 | nrow = 1 |
|
880 | nrow = 1 | |
881 |
|
881 | |||
882 | return nrow, ncol |
|
882 | return nrow, ncol | |
883 |
|
883 | |||
884 | def setup(self, id, nplots, wintitle, show): |
|
884 | def setup(self, id, nplots, wintitle, show): | |
885 |
|
885 | |||
886 | self.nplots = nplots |
|
886 | self.nplots = nplots | |
887 |
|
887 | |||
888 | ncolspan = 1 |
|
888 | ncolspan = 1 | |
889 | colspan = 1 |
|
889 | colspan = 1 | |
890 |
|
890 | |||
891 | self.createFigure(id = id, |
|
891 | self.createFigure(id = id, | |
892 | wintitle = wintitle, |
|
892 | wintitle = wintitle, | |
893 | widthplot = self.WIDTH, |
|
893 | widthplot = self.WIDTH, | |
894 | heightplot = self.HEIGHT, |
|
894 | heightplot = self.HEIGHT, | |
895 | show=show) |
|
895 | show=show) | |
896 |
|
896 | |||
897 | nrow, ncol = self.getSubplots() |
|
897 | nrow, ncol = self.getSubplots() | |
898 |
|
898 | |||
899 | counter = 0 |
|
899 | counter = 0 | |
900 | for y in range(nrow): |
|
900 | for y in range(nrow): | |
901 | for x in range(ncol): |
|
901 | for x in range(ncol): | |
902 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
902 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
903 |
|
903 | |||
904 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
904 | def run(self, dataOut, id, wintitle="", channelList=None, | |
905 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
905 | xmin=None, xmax=None, ymin=None, ymax=None, | |
906 | save=False, figpath='./', figfile=None, show=True, |
|
906 | save=False, figpath='./', figfile=None, show=True, | |
907 | ftp=False, wr_period=1, server=None, |
|
907 | ftp=False, wr_period=1, server=None, | |
908 | folder=None, username=None, password=None): |
|
908 | folder=None, username=None, password=None): | |
909 |
|
909 | |||
910 |
|
910 | |||
911 | if channelList == None: |
|
911 | if channelList == None: | |
912 | channelIndexList = dataOut.channelIndexList |
|
912 | channelIndexList = dataOut.channelIndexList | |
913 | channelList = dataOut.channelList |
|
913 | channelList = dataOut.channelList | |
914 | else: |
|
914 | else: | |
915 | channelIndexList = [] |
|
915 | channelIndexList = [] | |
916 | for channel in channelList: |
|
916 | for channel in channelList: | |
917 | if channel not in dataOut.channelList: |
|
917 | if channel not in dataOut.channelList: | |
918 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
918 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
919 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
919 | channelIndexList.append(dataOut.channelList.index(channel)) | |
920 |
|
920 | |||
921 | factor = dataOut.normFactor |
|
921 | factor = dataOut.normFactor | |
922 |
|
922 | |||
923 | y = dataOut.getHeiRange() |
|
923 | y = dataOut.getHeiRange() | |
924 |
|
924 | |||
925 | #for voltage |
|
925 | #for voltage | |
926 | if dataOut.type == 'Voltage': |
|
926 | if dataOut.type == 'Voltage': | |
927 | x = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) |
|
927 | x = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) | |
928 | x = x.real |
|
928 | x = x.real | |
929 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) |
|
929 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) | |
930 |
|
930 | |||
931 | #for spectra |
|
931 | #for spectra | |
932 | if dataOut.type == 'Spectra': |
|
932 | if dataOut.type == 'Spectra': | |
933 | x = dataOut.data_spc[channelIndexList,:,:]/factor |
|
933 | x = dataOut.data_spc[channelIndexList,:,:]/factor | |
934 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) |
|
934 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) | |
935 | x = numpy.average(x, axis=1) |
|
935 | x = numpy.average(x, axis=1) | |
936 |
|
936 | |||
937 |
|
937 | |||
938 | xdB = 10*numpy.log10(x) |
|
938 | xdB = 10*numpy.log10(x) | |
939 |
|
939 | |||
940 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
940 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
941 | title = wintitle + " Power Profile %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
941 | title = wintitle + " Power Profile %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
942 | xlabel = "dB" |
|
942 | xlabel = "dB" | |
943 | ylabel = "Range (Km)" |
|
943 | ylabel = "Range (Km)" | |
944 |
|
944 | |||
945 | if not self.isConfig: |
|
945 | if not self.isConfig: | |
946 |
|
946 | |||
947 | nplots = 1 |
|
947 | nplots = 1 | |
948 |
|
948 | |||
949 | self.setup(id=id, |
|
949 | self.setup(id=id, | |
950 | nplots=nplots, |
|
950 | nplots=nplots, | |
951 | wintitle=wintitle, |
|
951 | wintitle=wintitle, | |
952 | show=show) |
|
952 | show=show) | |
953 |
|
953 | |||
954 | if ymin == None: ymin = numpy.nanmin(y) |
|
954 | if ymin == None: ymin = numpy.nanmin(y) | |
955 | if ymax == None: ymax = numpy.nanmax(y) |
|
955 | if ymax == None: ymax = numpy.nanmax(y) | |
956 | if xmin == None: xmin = numpy.nanmin(xdB)*0.9 |
|
956 | if xmin == None: xmin = numpy.nanmin(xdB)*0.9 | |
957 | if xmax == None: xmax = numpy.nanmax(xdB)*1.1 |
|
957 | if xmax == None: xmax = numpy.nanmax(xdB)*1.1 | |
958 |
|
958 | |||
959 | self.isConfig = True |
|
959 | self.isConfig = True | |
960 |
|
960 | |||
961 | self.setWinTitle(title) |
|
961 | self.setWinTitle(title) | |
962 |
|
962 | |||
963 | title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
963 | title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
964 | axes = self.axesList[0] |
|
964 | axes = self.axesList[0] | |
965 |
|
965 | |||
966 | legendlabels = ["channel %d"%x for x in channelList] |
|
966 | legendlabels = ["channel %d"%x for x in channelList] | |
967 | axes.pmultiline(xdB, y, |
|
967 | axes.pmultiline(xdB, y, | |
968 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
968 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, | |
969 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, |
|
969 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, | |
970 | ytick_visible=True, nxticks=5, |
|
970 | ytick_visible=True, nxticks=5, | |
971 | grid='x') |
|
971 | grid='x') | |
972 |
|
972 | |||
973 | self.draw() |
|
973 | self.draw() | |
974 |
|
974 | |||
975 | self.save(figpath=figpath, |
|
975 | self.save(figpath=figpath, | |
976 | figfile=figfile, |
|
976 | figfile=figfile, | |
977 | save=save, |
|
977 | save=save, | |
978 | ftp=ftp, |
|
978 | ftp=ftp, | |
979 | wr_period=wr_period, |
|
979 | wr_period=wr_period, | |
980 | thisDatetime=thisDatetime) |
|
980 | thisDatetime=thisDatetime) | |
981 |
|
981 | |||
982 | class SpectraCutPlot(Figure): |
|
982 | class SpectraCutPlot(Figure): | |
983 |
|
983 | |||
984 | isConfig = None |
|
984 | isConfig = None | |
985 | __nsubplots = None |
|
985 | __nsubplots = None | |
986 |
|
986 | |||
987 | WIDTHPROF = None |
|
987 | WIDTHPROF = None | |
988 | HEIGHTPROF = None |
|
988 | HEIGHTPROF = None | |
989 | PREFIX = 'spc_cut' |
|
989 | PREFIX = 'spc_cut' | |
990 |
|
990 | |||
991 | def __init__(self, **kwargs): |
|
991 | def __init__(self, **kwargs): | |
992 | Figure.__init__(self, **kwargs) |
|
992 | Figure.__init__(self, **kwargs) | |
993 | self.isConfig = False |
|
993 | self.isConfig = False | |
994 | self.__nsubplots = 1 |
|
994 | self.__nsubplots = 1 | |
995 |
|
995 | |||
996 | self.PLOT_CODE = POWER_CODE |
|
996 | self.PLOT_CODE = POWER_CODE | |
997 |
|
997 | |||
998 | self.WIDTH = 700 |
|
998 | self.WIDTH = 700 | |
999 | self.HEIGHT = 500 |
|
999 | self.HEIGHT = 500 | |
1000 | self.counter_imagwr = 0 |
|
1000 | self.counter_imagwr = 0 | |
1001 |
|
1001 | |||
1002 | def getSubplots(self): |
|
1002 | def getSubplots(self): | |
1003 | ncol = 1 |
|
1003 | ncol = 1 | |
1004 | nrow = 1 |
|
1004 | nrow = 1 | |
1005 |
|
1005 | |||
1006 | return nrow, ncol |
|
1006 | return nrow, ncol | |
1007 |
|
1007 | |||
1008 | def setup(self, id, nplots, wintitle, show): |
|
1008 | def setup(self, id, nplots, wintitle, show): | |
1009 |
|
1009 | |||
1010 | self.nplots = nplots |
|
1010 | self.nplots = nplots | |
1011 |
|
1011 | |||
1012 | ncolspan = 1 |
|
1012 | ncolspan = 1 | |
1013 | colspan = 1 |
|
1013 | colspan = 1 | |
1014 |
|
1014 | |||
1015 | self.createFigure(id = id, |
|
1015 | self.createFigure(id = id, | |
1016 | wintitle = wintitle, |
|
1016 | wintitle = wintitle, | |
1017 | widthplot = self.WIDTH, |
|
1017 | widthplot = self.WIDTH, | |
1018 | heightplot = self.HEIGHT, |
|
1018 | heightplot = self.HEIGHT, | |
1019 | show=show) |
|
1019 | show=show) | |
1020 |
|
1020 | |||
1021 | nrow, ncol = self.getSubplots() |
|
1021 | nrow, ncol = self.getSubplots() | |
1022 |
|
1022 | |||
1023 | counter = 0 |
|
1023 | counter = 0 | |
1024 | for y in range(nrow): |
|
1024 | for y in range(nrow): | |
1025 | for x in range(ncol): |
|
1025 | for x in range(ncol): | |
1026 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
1026 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
1027 |
|
1027 | |||
1028 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
1028 | def run(self, dataOut, id, wintitle="", channelList=None, | |
1029 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
1029 | xmin=None, xmax=None, ymin=None, ymax=None, | |
1030 | save=False, figpath='./', figfile=None, show=True, |
|
1030 | save=False, figpath='./', figfile=None, show=True, | |
1031 | ftp=False, wr_period=1, server=None, |
|
1031 | ftp=False, wr_period=1, server=None, | |
1032 | folder=None, username=None, password=None, |
|
1032 | folder=None, username=None, password=None, | |
1033 | xaxis="frequency"): |
|
1033 | xaxis="frequency"): | |
1034 |
|
1034 | |||
1035 |
|
1035 | |||
1036 | if channelList == None: |
|
1036 | if channelList == None: | |
1037 | channelIndexList = dataOut.channelIndexList |
|
1037 | channelIndexList = dataOut.channelIndexList | |
1038 | channelList = dataOut.channelList |
|
1038 | channelList = dataOut.channelList | |
1039 | else: |
|
1039 | else: | |
1040 | channelIndexList = [] |
|
1040 | channelIndexList = [] | |
1041 | for channel in channelList: |
|
1041 | for channel in channelList: | |
1042 | if channel not in dataOut.channelList: |
|
1042 | if channel not in dataOut.channelList: | |
1043 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
1043 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
1044 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
1044 | channelIndexList.append(dataOut.channelList.index(channel)) | |
1045 |
|
1045 | |||
1046 | factor = dataOut.normFactor |
|
1046 | factor = dataOut.normFactor | |
1047 |
|
1047 | |||
1048 | y = dataOut.getHeiRange() |
|
1048 | y = dataOut.getHeiRange() | |
1049 |
|
1049 | |||
1050 | z = dataOut.data_spc/factor |
|
1050 | z = dataOut.data_spc/factor | |
1051 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
1051 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
1052 |
|
1052 | |||
1053 | hei_index = numpy.arange(25)*3 + 20 |
|
1053 | hei_index = numpy.arange(25)*3 + 20 | |
1054 |
|
1054 | |||
1055 | if xaxis == "frequency": |
|
1055 | if xaxis == "frequency": | |
1056 | x = dataOut.getFreqRange()/1000. |
|
1056 | x = dataOut.getFreqRange()/1000. | |
1057 | zdB = 10*numpy.log10(z[0,:,hei_index]) |
|
1057 | zdB = 10*numpy.log10(z[0,:,hei_index]) | |
1058 | xlabel = "Frequency (kHz)" |
|
1058 | xlabel = "Frequency (kHz)" | |
1059 | ylabel = "Power (dB)" |
|
1059 | ylabel = "Power (dB)" | |
1060 |
|
1060 | |||
1061 | elif xaxis == "time": |
|
1061 | elif xaxis == "time": | |
1062 | x = dataOut.getAcfRange() |
|
1062 | x = dataOut.getAcfRange() | |
1063 | zdB = z[0,:,hei_index] |
|
1063 | zdB = z[0,:,hei_index] | |
1064 | xlabel = "Time (ms)" |
|
1064 | xlabel = "Time (ms)" | |
1065 | ylabel = "ACF" |
|
1065 | ylabel = "ACF" | |
1066 |
|
1066 | |||
1067 | else: |
|
1067 | else: | |
1068 | x = dataOut.getVelRange() |
|
1068 | x = dataOut.getVelRange() | |
1069 | zdB = 10*numpy.log10(z[0,:,hei_index]) |
|
1069 | zdB = 10*numpy.log10(z[0,:,hei_index]) | |
1070 | xlabel = "Velocity (m/s)" |
|
1070 | xlabel = "Velocity (m/s)" | |
1071 | ylabel = "Power (dB)" |
|
1071 | ylabel = "Power (dB)" | |
1072 |
|
1072 | |||
1073 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
1073 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
1074 | title = wintitle + " Range Cuts %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
1074 | title = wintitle + " Range Cuts %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
1075 |
|
1075 | |||
1076 | if not self.isConfig: |
|
1076 | if not self.isConfig: | |
1077 |
|
1077 | |||
1078 | nplots = 1 |
|
1078 | nplots = 1 | |
1079 |
|
1079 | |||
1080 | self.setup(id=id, |
|
1080 | self.setup(id=id, | |
1081 | nplots=nplots, |
|
1081 | nplots=nplots, | |
1082 | wintitle=wintitle, |
|
1082 | wintitle=wintitle, | |
1083 | show=show) |
|
1083 | show=show) | |
1084 |
|
1084 | |||
1085 | if xmin == None: xmin = numpy.nanmin(x)*0.9 |
|
1085 | if xmin == None: xmin = numpy.nanmin(x)*0.9 | |
1086 | if xmax == None: xmax = numpy.nanmax(x)*1.1 |
|
1086 | if xmax == None: xmax = numpy.nanmax(x)*1.1 | |
1087 | if ymin == None: ymin = numpy.nanmin(zdB) |
|
1087 | if ymin == None: ymin = numpy.nanmin(zdB) | |
1088 | if ymax == None: ymax = numpy.nanmax(zdB) |
|
1088 | if ymax == None: ymax = numpy.nanmax(zdB) | |
1089 |
|
1089 | |||
1090 | self.isConfig = True |
|
1090 | self.isConfig = True | |
1091 |
|
1091 | |||
1092 | self.setWinTitle(title) |
|
1092 | self.setWinTitle(title) | |
1093 |
|
1093 | |||
1094 | title = "Spectra Cuts: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
1094 | title = "Spectra Cuts: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
1095 | axes = self.axesList[0] |
|
1095 | axes = self.axesList[0] | |
1096 |
|
1096 | |||
1097 | legendlabels = ["Range = %dKm" %y[i] for i in hei_index] |
|
1097 | legendlabels = ["Range = %dKm" %y[i] for i in hei_index] | |
1098 |
|
1098 | |||
1099 | axes.pmultilineyaxis( x, zdB, |
|
1099 | axes.pmultilineyaxis( x, zdB, | |
1100 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
1100 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, | |
1101 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, |
|
1101 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, | |
1102 | ytick_visible=True, nxticks=5, |
|
1102 | ytick_visible=True, nxticks=5, | |
1103 | grid='x') |
|
1103 | grid='x') | |
1104 |
|
1104 | |||
1105 | self.draw() |
|
1105 | self.draw() | |
1106 |
|
1106 | |||
1107 | self.save(figpath=figpath, |
|
1107 | self.save(figpath=figpath, | |
1108 | figfile=figfile, |
|
1108 | figfile=figfile, | |
1109 | save=save, |
|
1109 | save=save, | |
1110 | ftp=ftp, |
|
1110 | ftp=ftp, | |
1111 | wr_period=wr_period, |
|
1111 | wr_period=wr_period, | |
1112 | thisDatetime=thisDatetime) |
|
1112 | thisDatetime=thisDatetime) | |
1113 |
|
1113 | |||
1114 | class Noise(Figure): |
|
1114 | class Noise(Figure): | |
1115 |
|
1115 | |||
1116 | isConfig = None |
|
1116 | isConfig = None | |
1117 | __nsubplots = None |
|
1117 | __nsubplots = None | |
1118 |
|
1118 | |||
1119 | PREFIX = 'noise' |
|
1119 | PREFIX = 'noise' | |
1120 |
|
1120 | |||
1121 |
|
1121 | |||
1122 | def __init__(self, **kwargs): |
|
1122 | def __init__(self, **kwargs): | |
1123 | Figure.__init__(self, **kwargs) |
|
1123 | Figure.__init__(self, **kwargs) | |
1124 | self.timerange = 24*60*60 |
|
1124 | self.timerange = 24*60*60 | |
1125 | self.isConfig = False |
|
1125 | self.isConfig = False | |
1126 | self.__nsubplots = 1 |
|
1126 | self.__nsubplots = 1 | |
1127 | self.counter_imagwr = 0 |
|
1127 | self.counter_imagwr = 0 | |
1128 | self.WIDTH = 800 |
|
1128 | self.WIDTH = 800 | |
1129 | self.HEIGHT = 400 |
|
1129 | self.HEIGHT = 400 | |
1130 | self.WIDTHPROF = 120 |
|
1130 | self.WIDTHPROF = 120 | |
1131 | self.HEIGHTPROF = 0 |
|
1131 | self.HEIGHTPROF = 0 | |
1132 | self.xdata = None |
|
1132 | self.xdata = None | |
1133 | self.ydata = None |
|
1133 | self.ydata = None | |
1134 |
|
1134 | |||
1135 | self.PLOT_CODE = NOISE_CODE |
|
1135 | self.PLOT_CODE = NOISE_CODE | |
1136 |
|
1136 | |||
1137 | self.FTP_WEI = None |
|
1137 | self.FTP_WEI = None | |
1138 | self.EXP_CODE = None |
|
1138 | self.EXP_CODE = None | |
1139 | self.SUB_EXP_CODE = None |
|
1139 | self.SUB_EXP_CODE = None | |
1140 | self.PLOT_POS = None |
|
1140 | self.PLOT_POS = None | |
1141 | self.figfile = None |
|
1141 | self.figfile = None | |
1142 |
|
1142 | |||
1143 | self.xmin = None |
|
1143 | self.xmin = None | |
1144 | self.xmax = None |
|
1144 | self.xmax = None | |
1145 |
|
1145 | |||
1146 | def getSubplots(self): |
|
1146 | def getSubplots(self): | |
1147 |
|
1147 | |||
1148 | ncol = 1 |
|
1148 | ncol = 1 | |
1149 | nrow = 1 |
|
1149 | nrow = 1 | |
1150 |
|
1150 | |||
1151 | return nrow, ncol |
|
1151 | return nrow, ncol | |
1152 |
|
1152 | |||
1153 | def openfile(self, filename): |
|
1153 | def openfile(self, filename): | |
1154 | dirname = os.path.dirname(filename) |
|
1154 | dirname = os.path.dirname(filename) | |
1155 |
|
1155 | |||
1156 | if not os.path.exists(dirname): |
|
1156 | if not os.path.exists(dirname): | |
1157 | os.mkdir(dirname) |
|
1157 | os.mkdir(dirname) | |
1158 |
|
1158 | |||
1159 | f = open(filename,'w+') |
|
1159 | f = open(filename,'w+') | |
1160 | f.write('\n\n') |
|
1160 | f.write('\n\n') | |
1161 | f.write('JICAMARCA RADIO OBSERVATORY - Noise \n') |
|
1161 | f.write('JICAMARCA RADIO OBSERVATORY - Noise \n') | |
1162 | f.write('DD MM YYYY HH MM SS Channel0 Channel1 Channel2 Channel3\n\n' ) |
|
1162 | f.write('DD MM YYYY HH MM SS Channel0 Channel1 Channel2 Channel3\n\n' ) | |
1163 | f.close() |
|
1163 | f.close() | |
1164 |
|
1164 | |||
1165 | def save_data(self, filename_phase, data, data_datetime): |
|
1165 | def save_data(self, filename_phase, data, data_datetime): | |
1166 |
|
1166 | |||
1167 | f=open(filename_phase,'a') |
|
1167 | f=open(filename_phase,'a') | |
1168 |
|
1168 | |||
1169 | timetuple_data = data_datetime.timetuple() |
|
1169 | timetuple_data = data_datetime.timetuple() | |
1170 | day = str(timetuple_data.tm_mday) |
|
1170 | day = str(timetuple_data.tm_mday) | |
1171 | month = str(timetuple_data.tm_mon) |
|
1171 | month = str(timetuple_data.tm_mon) | |
1172 | year = str(timetuple_data.tm_year) |
|
1172 | year = str(timetuple_data.tm_year) | |
1173 | hour = str(timetuple_data.tm_hour) |
|
1173 | hour = str(timetuple_data.tm_hour) | |
1174 | minute = str(timetuple_data.tm_min) |
|
1174 | minute = str(timetuple_data.tm_min) | |
1175 | second = str(timetuple_data.tm_sec) |
|
1175 | second = str(timetuple_data.tm_sec) | |
1176 |
|
1176 | |||
1177 | data_msg = '' |
|
1177 | data_msg = '' | |
1178 | for i in range(len(data)): |
|
1178 | for i in range(len(data)): | |
1179 | data_msg += str(data[i]) + ' ' |
|
1179 | data_msg += str(data[i]) + ' ' | |
1180 |
|
1180 | |||
1181 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' ' + data_msg + '\n') |
|
1181 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' ' + data_msg + '\n') | |
1182 | f.close() |
|
1182 | f.close() | |
1183 |
|
1183 | |||
1184 |
|
1184 | |||
1185 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
1185 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
1186 |
|
1186 | |||
1187 | self.__showprofile = showprofile |
|
1187 | self.__showprofile = showprofile | |
1188 | self.nplots = nplots |
|
1188 | self.nplots = nplots | |
1189 |
|
1189 | |||
1190 | ncolspan = 7 |
|
1190 | ncolspan = 7 | |
1191 | colspan = 6 |
|
1191 | colspan = 6 | |
1192 | self.__nsubplots = 2 |
|
1192 | self.__nsubplots = 2 | |
1193 |
|
1193 | |||
1194 | self.createFigure(id = id, |
|
1194 | self.createFigure(id = id, | |
1195 | wintitle = wintitle, |
|
1195 | wintitle = wintitle, | |
1196 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
1196 | widthplot = self.WIDTH+self.WIDTHPROF, | |
1197 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
1197 | heightplot = self.HEIGHT+self.HEIGHTPROF, | |
1198 | show=show) |
|
1198 | show=show) | |
1199 |
|
1199 | |||
1200 | nrow, ncol = self.getSubplots() |
|
1200 | nrow, ncol = self.getSubplots() | |
1201 |
|
1201 | |||
1202 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
1202 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) | |
1203 |
|
1203 | |||
1204 |
|
1204 | |||
1205 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
1205 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', | |
1206 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
1206 | xmin=None, xmax=None, ymin=None, ymax=None, | |
1207 | timerange=None, |
|
1207 | timerange=None, | |
1208 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
1208 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
1209 | server=None, folder=None, username=None, password=None, |
|
1209 | server=None, folder=None, username=None, password=None, | |
1210 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
1210 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
1211 |
|
1211 | |||
1212 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
1212 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
1213 | return |
|
1213 | return | |
1214 |
|
1214 | |||
1215 | if channelList == None: |
|
1215 | if channelList == None: | |
1216 | channelIndexList = dataOut.channelIndexList |
|
1216 | channelIndexList = dataOut.channelIndexList | |
1217 | channelList = dataOut.channelList |
|
1217 | channelList = dataOut.channelList | |
1218 | else: |
|
1218 | else: | |
1219 | channelIndexList = [] |
|
1219 | channelIndexList = [] | |
1220 | for channel in channelList: |
|
1220 | for channel in channelList: | |
1221 | if channel not in dataOut.channelList: |
|
1221 | if channel not in dataOut.channelList: | |
1222 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
1222 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
1223 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
1223 | channelIndexList.append(dataOut.channelList.index(channel)) | |
1224 |
|
1224 | |||
1225 | x = dataOut.getTimeRange() |
|
1225 | x = dataOut.getTimeRange() | |
1226 | #y = dataOut.getHeiRange() |
|
1226 | #y = dataOut.getHeiRange() | |
1227 | factor = dataOut.normFactor |
|
1227 | factor = dataOut.normFactor | |
1228 | noise = dataOut.noise[channelIndexList]/factor |
|
1228 | noise = dataOut.noise[channelIndexList]/factor | |
1229 | noisedB = 10*numpy.log10(noise) |
|
1229 | noisedB = 10*numpy.log10(noise) | |
1230 |
|
1230 | |||
1231 | thisDatetime = dataOut.datatime |
|
1231 | thisDatetime = dataOut.datatime | |
1232 |
|
1232 | |||
1233 | title = wintitle + " Noise" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
1233 | title = wintitle + " Noise" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
1234 | xlabel = "" |
|
1234 | xlabel = "" | |
1235 | ylabel = "Intensity (dB)" |
|
1235 | ylabel = "Intensity (dB)" | |
1236 | update_figfile = False |
|
1236 | update_figfile = False | |
1237 |
|
1237 | |||
1238 | if not self.isConfig: |
|
1238 | if not self.isConfig: | |
1239 |
|
1239 | |||
1240 | nplots = 1 |
|
1240 | nplots = 1 | |
1241 |
|
1241 | |||
1242 | self.setup(id=id, |
|
1242 | self.setup(id=id, | |
1243 | nplots=nplots, |
|
1243 | nplots=nplots, | |
1244 | wintitle=wintitle, |
|
1244 | wintitle=wintitle, | |
1245 | showprofile=showprofile, |
|
1245 | showprofile=showprofile, | |
1246 | show=show) |
|
1246 | show=show) | |
1247 |
|
1247 | |||
1248 | if timerange != None: |
|
1248 | if timerange != None: | |
1249 | self.timerange = timerange |
|
1249 | self.timerange = timerange | |
1250 |
|
1250 | |||
1251 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
1251 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
1252 |
|
1252 | |||
1253 | if ymin == None: ymin = numpy.floor(numpy.nanmin(noisedB)) - 10.0 |
|
1253 | if ymin == None: ymin = numpy.floor(numpy.nanmin(noisedB)) - 10.0 | |
1254 | if ymax == None: ymax = numpy.nanmax(noisedB) + 10.0 |
|
1254 | if ymax == None: ymax = numpy.nanmax(noisedB) + 10.0 | |
1255 |
|
1255 | |||
1256 | self.FTP_WEI = ftp_wei |
|
1256 | self.FTP_WEI = ftp_wei | |
1257 | self.EXP_CODE = exp_code |
|
1257 | self.EXP_CODE = exp_code | |
1258 | self.SUB_EXP_CODE = sub_exp_code |
|
1258 | self.SUB_EXP_CODE = sub_exp_code | |
1259 | self.PLOT_POS = plot_pos |
|
1259 | self.PLOT_POS = plot_pos | |
1260 |
|
1260 | |||
1261 |
|
1261 | |||
1262 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
1262 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
1263 | self.isConfig = True |
|
1263 | self.isConfig = True | |
1264 | self.figfile = figfile |
|
1264 | self.figfile = figfile | |
1265 | self.xdata = numpy.array([]) |
|
1265 | self.xdata = numpy.array([]) | |
1266 | self.ydata = numpy.array([]) |
|
1266 | self.ydata = numpy.array([]) | |
1267 |
|
1267 | |||
1268 | update_figfile = True |
|
1268 | update_figfile = True | |
1269 |
|
1269 | |||
1270 | #open file beacon phase |
|
1270 | #open file beacon phase | |
1271 | path = '%s%03d' %(self.PREFIX, self.id) |
|
1271 | path = '%s%03d' %(self.PREFIX, self.id) | |
1272 | noise_file = os.path.join(path,'%s.txt'%self.name) |
|
1272 | noise_file = os.path.join(path,'%s.txt'%self.name) | |
1273 | self.filename_noise = os.path.join(figpath,noise_file) |
|
1273 | self.filename_noise = os.path.join(figpath,noise_file) | |
1274 |
|
1274 | |||
1275 | self.setWinTitle(title) |
|
1275 | self.setWinTitle(title) | |
1276 |
|
1276 | |||
1277 | title = "Noise %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1277 | title = "Noise %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
1278 |
|
1278 | |||
1279 | legendlabels = ["channel %d"%(idchannel) for idchannel in channelList] |
|
1279 | legendlabels = ["channel %d"%(idchannel) for idchannel in channelList] | |
1280 | axes = self.axesList[0] |
|
1280 | axes = self.axesList[0] | |
1281 |
|
1281 | |||
1282 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
1282 | self.xdata = numpy.hstack((self.xdata, x[0:1])) | |
1283 |
|
1283 | |||
1284 | if len(self.ydata)==0: |
|
1284 | if len(self.ydata)==0: | |
1285 | self.ydata = noisedB.reshape(-1,1) |
|
1285 | self.ydata = noisedB.reshape(-1,1) | |
1286 | else: |
|
1286 | else: | |
1287 | self.ydata = numpy.hstack((self.ydata, noisedB.reshape(-1,1))) |
|
1287 | self.ydata = numpy.hstack((self.ydata, noisedB.reshape(-1,1))) | |
1288 |
|
1288 | |||
1289 |
|
1289 | |||
1290 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
1290 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, | |
1291 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
1291 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, | |
1292 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
1292 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", | |
1293 | XAxisAsTime=True, grid='both' |
|
1293 | XAxisAsTime=True, grid='both' | |
1294 | ) |
|
1294 | ) | |
1295 |
|
1295 | |||
1296 | self.draw() |
|
1296 | self.draw() | |
1297 |
|
1297 | |||
1298 | if dataOut.ltctime >= self.xmax: |
|
1298 | if dataOut.ltctime >= self.xmax: | |
1299 | self.counter_imagwr = wr_period |
|
1299 | self.counter_imagwr = wr_period | |
1300 | self.isConfig = False |
|
1300 | self.isConfig = False | |
1301 | update_figfile = True |
|
1301 | update_figfile = True | |
1302 |
|
1302 | |||
1303 | self.save(figpath=figpath, |
|
1303 | self.save(figpath=figpath, | |
1304 | figfile=figfile, |
|
1304 | figfile=figfile, | |
1305 | save=save, |
|
1305 | save=save, | |
1306 | ftp=ftp, |
|
1306 | ftp=ftp, | |
1307 | wr_period=wr_period, |
|
1307 | wr_period=wr_period, | |
1308 | thisDatetime=thisDatetime, |
|
1308 | thisDatetime=thisDatetime, | |
1309 | update_figfile=update_figfile) |
|
1309 | update_figfile=update_figfile) | |
1310 |
|
1310 | |||
1311 | #store data beacon phase |
|
1311 | #store data beacon phase | |
1312 | if save: |
|
1312 | if save: | |
1313 | self.save_data(self.filename_noise, noisedB, thisDatetime) |
|
1313 | self.save_data(self.filename_noise, noisedB, thisDatetime) | |
1314 |
|
1314 | |||
1315 | class BeaconPhase(Figure): |
|
1315 | class BeaconPhase(Figure): | |
1316 |
|
1316 | |||
1317 | __isConfig = None |
|
1317 | __isConfig = None | |
1318 | __nsubplots = None |
|
1318 | __nsubplots = None | |
1319 |
|
1319 | |||
1320 | PREFIX = 'beacon_phase' |
|
1320 | PREFIX = 'beacon_phase' | |
1321 |
|
1321 | |||
1322 | def __init__(self, **kwargs): |
|
1322 | def __init__(self, **kwargs): | |
1323 | Figure.__init__(self, **kwargs) |
|
1323 | Figure.__init__(self, **kwargs) | |
1324 | self.timerange = 24*60*60 |
|
1324 | self.timerange = 24*60*60 | |
1325 | self.isConfig = False |
|
1325 | self.isConfig = False | |
1326 | self.__nsubplots = 1 |
|
1326 | self.__nsubplots = 1 | |
1327 | self.counter_imagwr = 0 |
|
1327 | self.counter_imagwr = 0 | |
1328 | self.WIDTH = 800 |
|
1328 | self.WIDTH = 800 | |
1329 | self.HEIGHT = 400 |
|
1329 | self.HEIGHT = 400 | |
1330 | self.WIDTHPROF = 120 |
|
1330 | self.WIDTHPROF = 120 | |
1331 | self.HEIGHTPROF = 0 |
|
1331 | self.HEIGHTPROF = 0 | |
1332 | self.xdata = None |
|
1332 | self.xdata = None | |
1333 | self.ydata = None |
|
1333 | self.ydata = None | |
1334 |
|
1334 | |||
1335 | self.PLOT_CODE = BEACON_CODE |
|
1335 | self.PLOT_CODE = BEACON_CODE | |
1336 |
|
1336 | |||
1337 | self.FTP_WEI = None |
|
1337 | self.FTP_WEI = None | |
1338 | self.EXP_CODE = None |
|
1338 | self.EXP_CODE = None | |
1339 | self.SUB_EXP_CODE = None |
|
1339 | self.SUB_EXP_CODE = None | |
1340 | self.PLOT_POS = None |
|
1340 | self.PLOT_POS = None | |
1341 |
|
1341 | |||
1342 | self.filename_phase = None |
|
1342 | self.filename_phase = None | |
1343 |
|
1343 | |||
1344 | self.figfile = None |
|
1344 | self.figfile = None | |
1345 |
|
1345 | |||
1346 | self.xmin = None |
|
1346 | self.xmin = None | |
1347 | self.xmax = None |
|
1347 | self.xmax = None | |
1348 |
|
1348 | |||
1349 | def getSubplots(self): |
|
1349 | def getSubplots(self): | |
1350 |
|
1350 | |||
1351 | ncol = 1 |
|
1351 | ncol = 1 | |
1352 | nrow = 1 |
|
1352 | nrow = 1 | |
1353 |
|
1353 | |||
1354 | return nrow, ncol |
|
1354 | return nrow, ncol | |
1355 |
|
1355 | |||
1356 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
1356 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
1357 |
|
1357 | |||
1358 | self.__showprofile = showprofile |
|
1358 | self.__showprofile = showprofile | |
1359 | self.nplots = nplots |
|
1359 | self.nplots = nplots | |
1360 |
|
1360 | |||
1361 | ncolspan = 7 |
|
1361 | ncolspan = 7 | |
1362 | colspan = 6 |
|
1362 | colspan = 6 | |
1363 | self.__nsubplots = 2 |
|
1363 | self.__nsubplots = 2 | |
1364 |
|
1364 | |||
1365 | self.createFigure(id = id, |
|
1365 | self.createFigure(id = id, | |
1366 | wintitle = wintitle, |
|
1366 | wintitle = wintitle, | |
1367 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
1367 | widthplot = self.WIDTH+self.WIDTHPROF, | |
1368 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
1368 | heightplot = self.HEIGHT+self.HEIGHTPROF, | |
1369 | show=show) |
|
1369 | show=show) | |
1370 |
|
1370 | |||
1371 | nrow, ncol = self.getSubplots() |
|
1371 | nrow, ncol = self.getSubplots() | |
1372 |
|
1372 | |||
1373 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
1373 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) | |
1374 |
|
1374 | |||
1375 | def save_phase(self, filename_phase): |
|
1375 | def save_phase(self, filename_phase): | |
1376 | f = open(filename_phase,'w+') |
|
1376 | f = open(filename_phase,'w+') | |
1377 | f.write('\n\n') |
|
1377 | f.write('\n\n') | |
1378 | f.write('JICAMARCA RADIO OBSERVATORY - Beacon Phase \n') |
|
1378 | f.write('JICAMARCA RADIO OBSERVATORY - Beacon Phase \n') | |
1379 | f.write('DD MM YYYY HH MM SS pair(2,0) pair(2,1) pair(2,3) pair(2,4)\n\n' ) |
|
1379 | f.write('DD MM YYYY HH MM SS pair(2,0) pair(2,1) pair(2,3) pair(2,4)\n\n' ) | |
1380 | f.close() |
|
1380 | f.close() | |
1381 |
|
1381 | |||
1382 | def save_data(self, filename_phase, data, data_datetime): |
|
1382 | def save_data(self, filename_phase, data, data_datetime): | |
1383 | f=open(filename_phase,'a') |
|
1383 | f=open(filename_phase,'a') | |
1384 | timetuple_data = data_datetime.timetuple() |
|
1384 | timetuple_data = data_datetime.timetuple() | |
1385 | day = str(timetuple_data.tm_mday) |
|
1385 | day = str(timetuple_data.tm_mday) | |
1386 | month = str(timetuple_data.tm_mon) |
|
1386 | month = str(timetuple_data.tm_mon) | |
1387 | year = str(timetuple_data.tm_year) |
|
1387 | year = str(timetuple_data.tm_year) | |
1388 | hour = str(timetuple_data.tm_hour) |
|
1388 | hour = str(timetuple_data.tm_hour) | |
1389 | minute = str(timetuple_data.tm_min) |
|
1389 | minute = str(timetuple_data.tm_min) | |
1390 | second = str(timetuple_data.tm_sec) |
|
1390 | second = str(timetuple_data.tm_sec) | |
1391 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n') |
|
1391 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n') | |
1392 | f.close() |
|
1392 | f.close() | |
1393 |
|
1393 | |||
1394 |
|
1394 | |||
1395 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
1395 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', | |
1396 | xmin=None, xmax=None, ymin=None, ymax=None, hmin=None, hmax=None, |
|
1396 | xmin=None, xmax=None, ymin=None, ymax=None, hmin=None, hmax=None, | |
1397 | timerange=None, |
|
1397 | timerange=None, | |
1398 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
1398 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
1399 | server=None, folder=None, username=None, password=None, |
|
1399 | server=None, folder=None, username=None, password=None, | |
1400 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
1400 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
1401 |
|
1401 | |||
1402 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
1402 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
1403 | return |
|
1403 | return | |
1404 |
|
1404 | |||
1405 | if pairsList == None: |
|
1405 | if pairsList == None: | |
1406 | pairsIndexList = dataOut.pairsIndexList[:10] |
|
1406 | pairsIndexList = dataOut.pairsIndexList[:10] | |
1407 | else: |
|
1407 | else: | |
1408 | pairsIndexList = [] |
|
1408 | pairsIndexList = [] | |
1409 | for pair in pairsList: |
|
1409 | for pair in pairsList: | |
1410 | if pair not in dataOut.pairsList: |
|
1410 | if pair not in dataOut.pairsList: | |
1411 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
1411 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) | |
1412 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
1412 | pairsIndexList.append(dataOut.pairsList.index(pair)) | |
1413 |
|
1413 | |||
1414 | if pairsIndexList == []: |
|
1414 | if pairsIndexList == []: | |
1415 | return |
|
1415 | return | |
1416 |
|
1416 | |||
1417 | # if len(pairsIndexList) > 4: |
|
1417 | # if len(pairsIndexList) > 4: | |
1418 | # pairsIndexList = pairsIndexList[0:4] |
|
1418 | # pairsIndexList = pairsIndexList[0:4] | |
1419 |
|
1419 | |||
1420 | hmin_index = None |
|
1420 | hmin_index = None | |
1421 | hmax_index = None |
|
1421 | hmax_index = None | |
1422 |
|
1422 | |||
1423 | if hmin != None and hmax != None: |
|
1423 | if hmin != None and hmax != None: | |
1424 | indexes = numpy.arange(dataOut.nHeights) |
|
1424 | indexes = numpy.arange(dataOut.nHeights) | |
1425 | hmin_list = indexes[dataOut.heightList >= hmin] |
|
1425 | hmin_list = indexes[dataOut.heightList >= hmin] | |
1426 | hmax_list = indexes[dataOut.heightList <= hmax] |
|
1426 | hmax_list = indexes[dataOut.heightList <= hmax] | |
1427 |
|
1427 | |||
1428 | if hmin_list.any(): |
|
1428 | if hmin_list.any(): | |
1429 | hmin_index = hmin_list[0] |
|
1429 | hmin_index = hmin_list[0] | |
1430 |
|
1430 | |||
1431 | if hmax_list.any(): |
|
1431 | if hmax_list.any(): | |
1432 | hmax_index = hmax_list[-1]+1 |
|
1432 | hmax_index = hmax_list[-1]+1 | |
1433 |
|
1433 | |||
1434 | x = dataOut.getTimeRange() |
|
1434 | x = dataOut.getTimeRange() | |
1435 | #y = dataOut.getHeiRange() |
|
1435 | #y = dataOut.getHeiRange() | |
1436 |
|
1436 | |||
1437 |
|
1437 | |||
1438 | thisDatetime = dataOut.datatime |
|
1438 | thisDatetime = dataOut.datatime | |
1439 |
|
1439 | |||
1440 | title = wintitle + " Signal Phase" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
1440 | title = wintitle + " Signal Phase" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
1441 | xlabel = "Local Time" |
|
1441 | xlabel = "Local Time" | |
1442 | ylabel = "Phase (degrees)" |
|
1442 | ylabel = "Phase (degrees)" | |
1443 |
|
1443 | |||
1444 | update_figfile = False |
|
1444 | update_figfile = False | |
1445 |
|
1445 | |||
1446 | nplots = len(pairsIndexList) |
|
1446 | nplots = len(pairsIndexList) | |
1447 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) |
|
1447 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) | |
1448 | phase_beacon = numpy.zeros(len(pairsIndexList)) |
|
1448 | phase_beacon = numpy.zeros(len(pairsIndexList)) | |
1449 | for i in range(nplots): |
|
1449 | for i in range(nplots): | |
1450 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
1450 | pair = dataOut.pairsList[pairsIndexList[i]] | |
1451 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i], :, hmin_index:hmax_index], axis=0) |
|
1451 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i], :, hmin_index:hmax_index], axis=0) | |
1452 | powa = numpy.average(dataOut.data_spc[pair[0], :, hmin_index:hmax_index], axis=0) |
|
1452 | powa = numpy.average(dataOut.data_spc[pair[0], :, hmin_index:hmax_index], axis=0) | |
1453 | powb = numpy.average(dataOut.data_spc[pair[1], :, hmin_index:hmax_index], axis=0) |
|
1453 | powb = numpy.average(dataOut.data_spc[pair[1], :, hmin_index:hmax_index], axis=0) | |
1454 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
1454 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) | |
1455 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
1455 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi | |
1456 |
|
1456 | |||
1457 | #print "Phase %d%d" %(pair[0], pair[1]) |
|
1457 | #print "Phase %d%d" %(pair[0], pair[1]) | |
1458 | #print phase[dataOut.beacon_heiIndexList] |
|
1458 | #print phase[dataOut.beacon_heiIndexList] | |
1459 |
|
1459 | |||
1460 | if dataOut.beacon_heiIndexList: |
|
1460 | if dataOut.beacon_heiIndexList: | |
1461 | phase_beacon[i] = numpy.average(phase[dataOut.beacon_heiIndexList]) |
|
1461 | phase_beacon[i] = numpy.average(phase[dataOut.beacon_heiIndexList]) | |
1462 | else: |
|
1462 | else: | |
1463 | phase_beacon[i] = numpy.average(phase) |
|
1463 | phase_beacon[i] = numpy.average(phase) | |
1464 |
|
1464 | |||
1465 | if not self.isConfig: |
|
1465 | if not self.isConfig: | |
1466 |
|
1466 | |||
1467 | nplots = len(pairsIndexList) |
|
1467 | nplots = len(pairsIndexList) | |
1468 |
|
1468 | |||
1469 | self.setup(id=id, |
|
1469 | self.setup(id=id, | |
1470 | nplots=nplots, |
|
1470 | nplots=nplots, | |
1471 | wintitle=wintitle, |
|
1471 | wintitle=wintitle, | |
1472 | showprofile=showprofile, |
|
1472 | showprofile=showprofile, | |
1473 | show=show) |
|
1473 | show=show) | |
1474 |
|
1474 | |||
1475 | if timerange != None: |
|
1475 | if timerange != None: | |
1476 | self.timerange = timerange |
|
1476 | self.timerange = timerange | |
1477 |
|
1477 | |||
1478 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
1478 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
1479 |
|
1479 | |||
1480 | if ymin == None: ymin = 0 |
|
1480 | if ymin == None: ymin = 0 | |
1481 | if ymax == None: ymax = 360 |
|
1481 | if ymax == None: ymax = 360 | |
1482 |
|
1482 | |||
1483 | self.FTP_WEI = ftp_wei |
|
1483 | self.FTP_WEI = ftp_wei | |
1484 | self.EXP_CODE = exp_code |
|
1484 | self.EXP_CODE = exp_code | |
1485 | self.SUB_EXP_CODE = sub_exp_code |
|
1485 | self.SUB_EXP_CODE = sub_exp_code | |
1486 | self.PLOT_POS = plot_pos |
|
1486 | self.PLOT_POS = plot_pos | |
1487 |
|
1487 | |||
1488 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
1488 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
1489 | self.isConfig = True |
|
1489 | self.isConfig = True | |
1490 | self.figfile = figfile |
|
1490 | self.figfile = figfile | |
1491 | self.xdata = numpy.array([]) |
|
1491 | self.xdata = numpy.array([]) | |
1492 | self.ydata = numpy.array([]) |
|
1492 | self.ydata = numpy.array([]) | |
1493 |
|
1493 | |||
1494 | update_figfile = True |
|
1494 | update_figfile = True | |
1495 |
|
1495 | |||
1496 | #open file beacon phase |
|
1496 | #open file beacon phase | |
1497 | path = '%s%03d' %(self.PREFIX, self.id) |
|
1497 | path = '%s%03d' %(self.PREFIX, self.id) | |
1498 | beacon_file = os.path.join(path,'%s.txt'%self.name) |
|
1498 | beacon_file = os.path.join(path,'%s.txt'%self.name) | |
1499 | self.filename_phase = os.path.join(figpath,beacon_file) |
|
1499 | self.filename_phase = os.path.join(figpath,beacon_file) | |
1500 | #self.save_phase(self.filename_phase) |
|
1500 | #self.save_phase(self.filename_phase) | |
1501 |
|
1501 | |||
1502 |
|
1502 | |||
1503 | #store data beacon phase |
|
1503 | #store data beacon phase | |
1504 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) |
|
1504 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) | |
1505 |
|
1505 | |||
1506 | self.setWinTitle(title) |
|
1506 | self.setWinTitle(title) | |
1507 |
|
1507 | |||
1508 |
|
1508 | |||
1509 | title = "Phase Plot %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1509 | title = "Phase Plot %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
1510 |
|
1510 | |||
1511 | legendlabels = ["Pair (%d,%d)"%(pair[0], pair[1]) for pair in dataOut.pairsList] |
|
1511 | legendlabels = ["Pair (%d,%d)"%(pair[0], pair[1]) for pair in dataOut.pairsList] | |
1512 |
|
1512 | |||
1513 | axes = self.axesList[0] |
|
1513 | axes = self.axesList[0] | |
1514 |
|
1514 | |||
1515 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
1515 | self.xdata = numpy.hstack((self.xdata, x[0:1])) | |
1516 |
|
1516 | |||
1517 | if len(self.ydata)==0: |
|
1517 | if len(self.ydata)==0: | |
1518 | self.ydata = phase_beacon.reshape(-1,1) |
|
1518 | self.ydata = phase_beacon.reshape(-1,1) | |
1519 | else: |
|
1519 | else: | |
1520 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) |
|
1520 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) | |
1521 |
|
1521 | |||
1522 |
|
1522 | |||
1523 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
1523 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, | |
1524 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
1524 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, | |
1525 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
1525 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", | |
1526 | XAxisAsTime=True, grid='both' |
|
1526 | XAxisAsTime=True, grid='both' | |
1527 | ) |
|
1527 | ) | |
1528 |
|
1528 | |||
1529 | self.draw() |
|
1529 | self.draw() | |
1530 |
|
1530 | |||
1531 | if dataOut.ltctime >= self.xmax: |
|
1531 | if dataOut.ltctime >= self.xmax: | |
1532 | self.counter_imagwr = wr_period |
|
1532 | self.counter_imagwr = wr_period | |
1533 | self.isConfig = False |
|
1533 | self.isConfig = False | |
1534 | update_figfile = True |
|
1534 | update_figfile = True | |
1535 |
|
1535 | |||
1536 | self.save(figpath=figpath, |
|
1536 | self.save(figpath=figpath, | |
1537 | figfile=figfile, |
|
1537 | figfile=figfile, | |
1538 | save=save, |
|
1538 | save=save, | |
1539 | ftp=ftp, |
|
1539 | ftp=ftp, | |
1540 | wr_period=wr_period, |
|
1540 | wr_period=wr_period, | |
1541 | thisDatetime=thisDatetime, |
|
1541 | thisDatetime=thisDatetime, | |
1542 | update_figfile=update_figfile) |
|
1542 | update_figfile=update_figfile) |
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