@@ -0,0 +1,293 | |||
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1 | import os.path | |
|
2 | import ftplib | |
|
3 | ||
|
4 | ||
|
5 | class Ftp(): | |
|
6 | """ | |
|
7 | Ftp is a public class used to define custom File Transfer Protocol from "ftplib" python module | |
|
8 | ||
|
9 | Non-standard Python modules used: None | |
|
10 | ||
|
11 | Written by "Daniel Suarez":mailto:daniel.suarez@jro.igp.gob.pe Oct. 26, 2010 | |
|
12 | """ | |
|
13 | ||
|
14 | def __init__(self,host = None, username=None, passw=None, remotefolder=None): | |
|
15 | """ | |
|
16 | This method is used to setting parameters for FTP and establishing connection to remote host | |
|
17 | ||
|
18 | Inputs: | |
|
19 | host - remote host IP Address | |
|
20 | ||
|
21 | username - remote host Username | |
|
22 | ||
|
23 | passw - remote host Passw | |
|
24 | ||
|
25 | remotefolder - remote host current working directory | |
|
26 | ||
|
27 | Return: void | |
|
28 | ||
|
29 | Affects: | |
|
30 | self.status - in Error Case or Connection Failed this parameter is set to 1 else 0 | |
|
31 | ||
|
32 | self.folderList - sub-folder list of remote folder | |
|
33 | ||
|
34 | self.fileList - file list of remote folder | |
|
35 | ||
|
36 | ||
|
37 | """ | |
|
38 | ||
|
39 | if ((host == None) and (username==None) and (passw==None) and (remotefolder==None)): | |
|
40 | host, username, passw, remotefolder = self.parmsByDefault() | |
|
41 | ||
|
42 | self.host = host | |
|
43 | self.username = username | |
|
44 | self.passw = passw | |
|
45 | self.remotefolder = remotefolder | |
|
46 | self.file = None | |
|
47 | self.ftp = None | |
|
48 | self.status = 0 | |
|
49 | ||
|
50 | try: | |
|
51 | self.ftp = ftplib.FTP(self.host) | |
|
52 | self.ftp.login(self.username,self.passw) | |
|
53 | self.ftp.cwd(self.remotefolder) | |
|
54 | # print 'Connect to FTP Server: Successfully' | |
|
55 | ||
|
56 | except ftplib.all_errors: | |
|
57 | print 'Error FTP Service' | |
|
58 | self.status = 1 | |
|
59 | return | |
|
60 | ||
|
61 | ||
|
62 | ||
|
63 | self.dirList = [] | |
|
64 | ||
|
65 | try: | |
|
66 | self.dirList = self.ftp.nlst() | |
|
67 | ||
|
68 | except ftplib.error_perm, resp: | |
|
69 | if str(resp) == "550 No files found": | |
|
70 | print "no files in this directory" | |
|
71 | self.status = 1 | |
|
72 | return | |
|
73 | ||
|
74 | except ftplib.all_errors: | |
|
75 | print 'Error Displaying Dir-Files' | |
|
76 | self.status = 1 | |
|
77 | return | |
|
78 | ||
|
79 | self.fileList = [] | |
|
80 | self.folderList = [] | |
|
81 | #only for test | |
|
82 | for f in self.dirList: | |
|
83 | name, ext = os.path.splitext(f) | |
|
84 | if ext != '': | |
|
85 | self.fileList.append(f) | |
|
86 | # print 'filename: %s - size: %d'%(f,self.ftp.size(f)) | |
|
87 | ||
|
88 | def parmsByDefault(self): | |
|
89 | host = 'jro.igp.gob.pe' | |
|
90 | username = 'operaciones' | |
|
91 | passw = 'mst98vhf' | |
|
92 | remotefolder = '/users/database/on-line/' | |
|
93 | ||
|
94 | return host, username, passw, remotefolder | |
|
95 | ||
|
96 | ||
|
97 | def mkd(self,dirname): | |
|
98 | """ | |
|
99 | mkd is used to make directory in remote host | |
|
100 | ||
|
101 | Input: | |
|
102 | dirname - directory name | |
|
103 | ||
|
104 | Return: | |
|
105 | 1 in error case else 0 | |
|
106 | """ | |
|
107 | try: | |
|
108 | self.ftp.mkd(dirname) | |
|
109 | except: | |
|
110 | print 'Error creating remote folder:%s'%dirname | |
|
111 | return 1 | |
|
112 | ||
|
113 | return 0 | |
|
114 | ||
|
115 | ||
|
116 | def delete(self,filename): | |
|
117 | """ | |
|
118 | delete is used to delete file in current working directory of remote host | |
|
119 | ||
|
120 | Input: | |
|
121 | filename - filename to delete in remote folder | |
|
122 | ||
|
123 | Return: | |
|
124 | 1 in error case else 0 | |
|
125 | """ | |
|
126 | ||
|
127 | try: | |
|
128 | self.ftp.delete(filename) | |
|
129 | except: | |
|
130 | print 'Error deleting remote file:%s'%filename | |
|
131 | return 1 | |
|
132 | ||
|
133 | return 0 | |
|
134 | ||
|
135 | def download(self,filename,localfolder): | |
|
136 | """ | |
|
137 | download is used to downloading file from remote folder into local folder | |
|
138 | ||
|
139 | Inputs: | |
|
140 | filename - filename to donwload | |
|
141 | ||
|
142 | localfolder - directory local to store filename | |
|
143 | ||
|
144 | Returns: | |
|
145 | self.status - 1 in error case else 0 | |
|
146 | """ | |
|
147 | ||
|
148 | self.status = 0 | |
|
149 | ||
|
150 | ||
|
151 | if not(filename in self.fileList): | |
|
152 | print 'filename:%s not exists'%filename | |
|
153 | self.status = 1 | |
|
154 | return self.status | |
|
155 | ||
|
156 | newfilename = os.path.join(localfolder,filename) | |
|
157 | ||
|
158 | self.file = open(newfilename, 'wb') | |
|
159 | ||
|
160 | try: | |
|
161 | print 'Download: ' + filename | |
|
162 | self.ftp.retrbinary('RETR ' + filename, self.__handleDownload) | |
|
163 | print 'Download Complete' | |
|
164 | except ftplib.all_errors: | |
|
165 | print 'Error Downloading ' + filename | |
|
166 | self.status = 1 | |
|
167 | return self.status | |
|
168 | ||
|
169 | self.file.close() | |
|
170 | ||
|
171 | return self.status | |
|
172 | ||
|
173 | ||
|
174 | def __handleDownload(self,block): | |
|
175 | """ | |
|
176 | __handleDownload is used to handle writing file | |
|
177 | """ | |
|
178 | self.file.write(block) | |
|
179 | ||
|
180 | ||
|
181 | def upload(self,filename,remotefolder=None): | |
|
182 | """ | |
|
183 | upload is used to uploading local file to remote directory | |
|
184 | ||
|
185 | Inputs: | |
|
186 | filename - full path name of local file to store in remote directory | |
|
187 | ||
|
188 | remotefolder - remote directory | |
|
189 | ||
|
190 | Returns: | |
|
191 | self.status - 1 in error case else 0 | |
|
192 | """ | |
|
193 | ||
|
194 | if remotefolder == None: | |
|
195 | remotefolder = self.remotefolder | |
|
196 | ||
|
197 | self.status = 0 | |
|
198 | ||
|
199 | try: | |
|
200 | self.ftp.cwd(remotefolder) | |
|
201 | ||
|
202 | self.file = open(filename, 'rb') | |
|
203 | ||
|
204 | (head, tail) = os.path.split(filename) | |
|
205 | ||
|
206 | command = "STOR " + tail | |
|
207 | ||
|
208 | print 'Uploading: ' + tail | |
|
209 | self.ftp.storbinary(command, self.file) | |
|
210 | print 'Upload Completed' | |
|
211 | ||
|
212 | except ftplib.all_errors: | |
|
213 | print 'Error Uploading ' + tail | |
|
214 | self.status = 1 | |
|
215 | return self.status | |
|
216 | ||
|
217 | self.file.close() | |
|
218 | ||
|
219 | #back to initial directory in __init__() | |
|
220 | self.ftp.cwd(self.remotefolder) | |
|
221 | ||
|
222 | return self.status | |
|
223 | ||
|
224 | ||
|
225 | def dir(self,remotefolder): | |
|
226 | """ | |
|
227 | dir is used to change working directory of remote host and get folder and file list | |
|
228 | ||
|
229 | Input: | |
|
230 | remotefolder - current working directory | |
|
231 | ||
|
232 | Affects: | |
|
233 | self.fileList - file list of working directory | |
|
234 | ||
|
235 | Return: | |
|
236 | infoList - list with filenames and size of file in bytes | |
|
237 | ||
|
238 | self.folderList - folder list | |
|
239 | """ | |
|
240 | ||
|
241 | self.remotefolder = remotefolder | |
|
242 | print 'Change to ' + self.remotefolder | |
|
243 | try: | |
|
244 | self.ftp.cwd(remotefolder) | |
|
245 | except ftplib.all_errors: | |
|
246 | print 'Error Change to ' + self.remotefolder | |
|
247 | infoList = None | |
|
248 | self.folderList = None | |
|
249 | return infoList,self.folderList | |
|
250 | ||
|
251 | self.dirList = [] | |
|
252 | ||
|
253 | try: | |
|
254 | self.dirList = self.ftp.nlst() | |
|
255 | ||
|
256 | except ftplib.error_perm, resp: | |
|
257 | if str(resp) == "550 No files found": | |
|
258 | print "no files in this directory" | |
|
259 | infoList = None | |
|
260 | self.folderList = None | |
|
261 | return infoList,self.folderList | |
|
262 | except ftplib.all_errors: | |
|
263 | print 'Error Displaying Dir-Files' | |
|
264 | infoList = None | |
|
265 | self.folderList = None | |
|
266 | return infoList,self.folderList | |
|
267 | ||
|
268 | infoList = [] | |
|
269 | self.fileList = [] | |
|
270 | self.folderList = [] | |
|
271 | for f in self.dirList: | |
|
272 | name,ext = os.path.splitext(f) | |
|
273 | if ext != '': | |
|
274 | self.fileList.append(f) | |
|
275 | value = (f,self.ftp.size(f)) | |
|
276 | infoList.append(value) | |
|
277 | ||
|
278 | if ext == '': | |
|
279 | self.folderList.append(f) | |
|
280 | ||
|
281 | return infoList,self.folderList | |
|
282 | ||
|
283 | ||
|
284 | def close(self): | |
|
285 | """ | |
|
286 | close is used to close and end FTP connection | |
|
287 | ||
|
288 | Inputs: None | |
|
289 | ||
|
290 | Return: void | |
|
291 | ||
|
292 | """ | |
|
293 | self.ftp.close() No newline at end of file |
@@ -1,408 +1,414 | |||
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1 | 1 | import os |
|
2 | 2 | import numpy |
|
3 | 3 | import time, datetime |
|
4 | 4 | import mpldriver |
|
5 | ||
|
5 | from customftp import * | |
|
6 | 6 | |
|
7 | 7 | class Figure: |
|
8 | 8 | |
|
9 | 9 | __driver = mpldriver |
|
10 | 10 | fig = None |
|
11 | 11 | |
|
12 | 12 | idfigure = None |
|
13 | 13 | wintitle = None |
|
14 | 14 | width = None |
|
15 | 15 | height = None |
|
16 | 16 | nplots = None |
|
17 | 17 | timerange = None |
|
18 | 18 | |
|
19 | 19 | axesObjList = [] |
|
20 | 20 | |
|
21 | 21 | WIDTH = None |
|
22 | 22 | HEIGHT = None |
|
23 | 23 | PREFIX = 'fig' |
|
24 | 24 | |
|
25 | 25 | def __init__(self): |
|
26 | 26 | |
|
27 | 27 | raise ValueError, "This method is not implemented" |
|
28 | 28 | |
|
29 | 29 | def __del__(self): |
|
30 | 30 | |
|
31 | 31 | self.__driver.closeFigure() |
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32 | 32 | |
|
33 | 33 | def getFilename(self, name, ext='.png'): |
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34 | 34 | |
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35 | 35 | path = '%s%03d' %(self.PREFIX, self.idfigure) |
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36 | 36 | filename = '%s_%s%s' %(self.PREFIX, name, ext) |
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37 | 37 | |
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38 | 38 | return os.path.join(path, filename) |
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39 | 39 | |
|
40 | 40 | def getAxesObjList(self): |
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41 | 41 | |
|
42 | 42 | return self.axesObjList |
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43 | 43 | |
|
44 | 44 | def getSubplots(self): |
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45 | 45 | |
|
46 | 46 | raise ValueError, "Abstract method: This method should be defined" |
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47 | 47 | |
|
48 | 48 | def getScreenDim(self, widthplot, heightplot): |
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49 | 49 | |
|
50 | 50 | nrow, ncol = self.getSubplots() |
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51 | 51 | |
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52 | 52 | widthscreen = widthplot*ncol |
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53 | 53 | heightscreen = heightplot*nrow |
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54 | 54 | |
|
55 | 55 | return widthscreen, heightscreen |
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56 | 56 | |
|
57 | 57 | def getTimeLim(self, x, xmin, xmax): |
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58 | 58 | |
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59 | 59 | thisdatetime = datetime.datetime.utcfromtimestamp(numpy.min(x)) |
|
60 | 60 | thisdate = datetime.datetime.combine(thisdatetime.date(), datetime.time(0,0,0)) |
|
61 | 61 | |
|
62 | 62 | #################################################### |
|
63 | 63 | #If the x is out of xrange |
|
64 | 64 | if xmax < (thisdatetime - thisdate).seconds/(60*60.): |
|
65 | 65 | xmin = None |
|
66 | 66 | xmax = None |
|
67 | 67 | |
|
68 | 68 | if xmin == None: |
|
69 | 69 | td = thisdatetime - thisdate |
|
70 | 70 | xmin = td.seconds/(60*60.) |
|
71 | 71 | |
|
72 | 72 | if xmax == None: |
|
73 | 73 | xmax = xmin + self.timerange/(60*60.) |
|
74 | 74 | |
|
75 | 75 | mindt = thisdate + datetime.timedelta(hours=xmin) - datetime.timedelta(seconds=time.timezone) |
|
76 | 76 | tmin = time.mktime(mindt.timetuple()) |
|
77 | 77 | |
|
78 | 78 | maxdt = thisdate + datetime.timedelta(hours=xmax) - datetime.timedelta(seconds=time.timezone) |
|
79 | 79 | tmax = time.mktime(maxdt.timetuple()) |
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80 | 80 | |
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81 | 81 | self.timerange = tmax - tmin |
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82 | 82 | |
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83 | 83 | return tmin, tmax |
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84 | 84 | |
|
85 | 85 | def init(self, idfigure, nplots, wintitle): |
|
86 | 86 | |
|
87 | 87 | raise ValueError, "This method has been replaced with createFigure" |
|
88 | 88 | |
|
89 | 89 | def createFigure(self, idfigure, wintitle, widthplot=None, heightplot=None): |
|
90 | 90 | |
|
91 | 91 | """ |
|
92 | 92 | Crea la figura de acuerdo al driver y parametros seleccionados seleccionados. |
|
93 | 93 | Las dimensiones de la pantalla es calculada a partir de los atributos self.WIDTH |
|
94 | 94 | y self.HEIGHT y el numero de subplots (nrow, ncol) |
|
95 | 95 | |
|
96 | 96 | Input: |
|
97 | 97 | idfigure : Los parametros necesarios son |
|
98 | 98 | wintitle : |
|
99 | 99 | |
|
100 | 100 | """ |
|
101 | 101 | |
|
102 | 102 | if widthplot == None: |
|
103 | 103 | widthplot = self.WIDTH |
|
104 | 104 | |
|
105 | 105 | if heightplot == None: |
|
106 | 106 | heightplot = self.HEIGHT |
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107 | 107 | |
|
108 | 108 | self.idfigure = idfigure |
|
109 | 109 | |
|
110 | 110 | self.wintitle = wintitle |
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111 | 111 | |
|
112 | 112 | self.widthscreen, self.heightscreen = self.getScreenDim(widthplot, heightplot) |
|
113 | 113 | |
|
114 | 114 | self.fig = self.__driver.createFigure(self.idfigure, |
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115 | 115 | self.wintitle, |
|
116 | 116 | self.widthscreen, |
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117 | 117 | self.heightscreen) |
|
118 | 118 | |
|
119 | 119 | self.axesObjList = [] |
|
120 | ||
|
120 | 121 | |
|
121 | 122 | def setDriver(self, driver=mpldriver): |
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122 | 123 | |
|
123 | 124 | self.__driver = driver |
|
124 | 125 | |
|
125 | 126 | def setTitle(self, title): |
|
126 | 127 | |
|
127 | 128 | self.__driver.setTitle(self.fig, title) |
|
128 | 129 | |
|
129 | 130 | def setWinTitle(self, title): |
|
130 | 131 | |
|
131 | 132 | self.__driver.setWinTitle(self.fig, title=title) |
|
132 | 133 | |
|
133 | 134 | def setTextFromAxes(self, text): |
|
134 | 135 | |
|
135 | 136 | raise ValueError, "Este metodo ha sido reemplazaado con el metodo setText de la clase Axes" |
|
136 | 137 | |
|
137 | 138 | def makeAxes(self, nrow, ncol, xpos, ypos, colspan, rowspan): |
|
138 | 139 | |
|
139 | 140 | raise ValueError, "Este metodo ha sido reemplazaado con el metodo addAxes" |
|
140 | 141 | |
|
141 | 142 | def addAxes(self, *args): |
|
142 | 143 | """ |
|
143 | 144 | |
|
144 | 145 | Input: |
|
145 | 146 | *args : Los parametros necesarios son |
|
146 | 147 | nrow, ncol, xpos, ypos, colspan, rowspan |
|
147 | 148 | """ |
|
148 | 149 | |
|
149 | 150 | axesObj = Axes(self.fig, *args) |
|
150 | 151 | self.axesObjList.append(axesObj) |
|
151 | 152 | |
|
152 | 153 | def saveFigure(self, figpath, figfile, *args): |
|
153 | 154 | |
|
154 | 155 | filename = os.path.join(figpath, figfile) |
|
155 | 156 | |
|
156 | 157 | fullpath = os.path.split(filename)[0] |
|
157 | 158 | |
|
158 | 159 | if not os.path.exists(fullpath): |
|
159 | 160 | os.mkdir(fullpath) |
|
160 | 161 | |
|
161 | 162 | self.__driver.saveFigure(self.fig, filename, *args) |
|
162 | 163 | |
|
164 | def sendByFTP(self, figfilename): | |
|
165 | ftpObj = Ftp() | |
|
166 | ftpObj.upload(figfilename) | |
|
167 | ftpObj.close() | |
|
168 | ||
|
163 | 169 | def draw(self): |
|
164 | 170 | |
|
165 | 171 | self.__driver.draw(self.fig) |
|
166 | 172 | |
|
167 | 173 | def run(self): |
|
168 | 174 | |
|
169 | 175 | raise ValueError, "This method is not implemented" |
|
170 | 176 | |
|
171 | 177 | axesList = property(getAxesObjList) |
|
172 | 178 | |
|
173 | 179 | |
|
174 | 180 | class Axes: |
|
175 | 181 | |
|
176 | 182 | __driver = mpldriver |
|
177 | 183 | fig = None |
|
178 | 184 | ax = None |
|
179 | 185 | plot = None |
|
180 | 186 | |
|
181 | 187 | __firsttime = None |
|
182 | 188 | |
|
183 | 189 | __showprofile = False |
|
184 | 190 | |
|
185 | 191 | xmin = None |
|
186 | 192 | xmax = None |
|
187 | 193 | ymin = None |
|
188 | 194 | ymax = None |
|
189 | 195 | zmin = None |
|
190 | 196 | zmax = None |
|
191 | 197 | |
|
192 | 198 | def __init__(self, *args): |
|
193 | 199 | |
|
194 | 200 | """ |
|
195 | 201 | |
|
196 | 202 | Input: |
|
197 | 203 | *args : Los parametros necesarios son |
|
198 | 204 | fig, nrow, ncol, xpos, ypos, colspan, rowspan |
|
199 | 205 | """ |
|
200 | 206 | |
|
201 | 207 | ax = self.__driver.createAxes(*args) |
|
202 | 208 | self.fig = args[0] |
|
203 | 209 | self.ax = ax |
|
204 | 210 | self.plot = None |
|
205 | 211 | |
|
206 | 212 | self.__firsttime = True |
|
207 | 213 | self.idlineList = [] |
|
208 | 214 | |
|
209 | 215 | def setText(self, text): |
|
210 | 216 | |
|
211 | 217 | self.__driver.setAxesText(self.ax, text) |
|
212 | 218 | |
|
213 | 219 | def setXAxisAsTime(self): |
|
214 | 220 | pass |
|
215 | 221 | |
|
216 | 222 | def pline(self, x, y, |
|
217 | 223 | xmin=None, xmax=None, |
|
218 | 224 | ymin=None, ymax=None, |
|
219 | 225 | xlabel='', ylabel='', |
|
220 | 226 | title='', |
|
221 | 227 | **kwargs): |
|
222 | 228 | |
|
223 | 229 | """ |
|
224 | 230 | |
|
225 | 231 | Input: |
|
226 | 232 | x : |
|
227 | 233 | y : |
|
228 | 234 | xmin : |
|
229 | 235 | xmax : |
|
230 | 236 | ymin : |
|
231 | 237 | ymax : |
|
232 | 238 | xlabel : |
|
233 | 239 | ylabel : |
|
234 | 240 | title : |
|
235 | 241 | **kwargs : Los parametros aceptados son |
|
236 | 242 | |
|
237 | 243 | ticksize |
|
238 | 244 | ytick_visible |
|
239 | 245 | """ |
|
240 | 246 | |
|
241 | 247 | if self.__firsttime: |
|
242 | 248 | |
|
243 | 249 | if xmin == None: xmin = numpy.nanmin(x) |
|
244 | 250 | if xmax == None: xmax = numpy.nanmax(x) |
|
245 | 251 | if ymin == None: ymin = numpy.nanmin(y) |
|
246 | 252 | if ymax == None: ymax = numpy.nanmax(y) |
|
247 | 253 | |
|
248 | 254 | self.plot = self.__driver.createPline(self.ax, x, y, |
|
249 | 255 | xmin, xmax, |
|
250 | 256 | ymin, ymax, |
|
251 | 257 | xlabel=xlabel, |
|
252 | 258 | ylabel=ylabel, |
|
253 | 259 | title=title, |
|
254 | 260 | **kwargs) |
|
255 | 261 | |
|
256 | 262 | self.idlineList.append(0) |
|
257 | 263 | self.__firsttime = False |
|
258 | 264 | return |
|
259 | 265 | |
|
260 | 266 | self.__driver.pline(self.plot, x, y, xlabel=xlabel, |
|
261 | 267 | ylabel=ylabel, |
|
262 | 268 | title=title) |
|
263 | 269 | |
|
264 | 270 | def addpline(self, x, y, idline, **kwargs): |
|
265 | 271 | lines = self.ax.lines |
|
266 | 272 | |
|
267 | 273 | if idline in self.idlineList: |
|
268 | 274 | self.__driver.set_linedata(self.ax, x, y, idline) |
|
269 | 275 | |
|
270 | 276 | if idline not in(self.idlineList): |
|
271 | 277 | self.__driver.addpline(self.ax, x, y, **kwargs) |
|
272 | 278 | self.idlineList.append(idline) |
|
273 | 279 | |
|
274 | 280 | return |
|
275 | 281 | |
|
276 | 282 | def pmultiline(self, x, y, |
|
277 | 283 | xmin=None, xmax=None, |
|
278 | 284 | ymin=None, ymax=None, |
|
279 | 285 | xlabel='', ylabel='', |
|
280 | 286 | title='', |
|
281 | 287 | **kwargs): |
|
282 | 288 | |
|
283 | 289 | if self.__firsttime: |
|
284 | 290 | |
|
285 | 291 | if xmin == None: xmin = numpy.nanmin(x) |
|
286 | 292 | if xmax == None: xmax = numpy.nanmax(x) |
|
287 | 293 | if ymin == None: ymin = numpy.nanmin(y) |
|
288 | 294 | if ymax == None: ymax = numpy.nanmax(y) |
|
289 | 295 | |
|
290 | 296 | self.plot = self.__driver.createPmultiline(self.ax, x, y, |
|
291 | 297 | xmin, xmax, |
|
292 | 298 | ymin, ymax, |
|
293 | 299 | xlabel=xlabel, |
|
294 | 300 | ylabel=ylabel, |
|
295 | 301 | title=title, |
|
296 | 302 | **kwargs) |
|
297 | 303 | self.__firsttime = False |
|
298 | 304 | return |
|
299 | 305 | |
|
300 | 306 | self.__driver.pmultiline(self.plot, x, y, xlabel=xlabel, |
|
301 | 307 | ylabel=ylabel, |
|
302 | 308 | title=title) |
|
303 | 309 | |
|
304 | 310 | def pmultilineyaxis(self, x, y, |
|
305 | 311 | xmin=None, xmax=None, |
|
306 | 312 | ymin=None, ymax=None, |
|
307 | 313 | xlabel='', ylabel='', |
|
308 | 314 | title='', |
|
309 | 315 | **kwargs): |
|
310 | 316 | |
|
311 | 317 | if self.__firsttime: |
|
312 | 318 | |
|
313 | 319 | if xmin == None: xmin = numpy.nanmin(x) |
|
314 | 320 | if xmax == None: xmax = numpy.nanmax(x) |
|
315 | 321 | if ymin == None: ymin = numpy.nanmin(y) |
|
316 | 322 | if ymax == None: ymax = numpy.nanmax(y) |
|
317 | 323 | |
|
318 | 324 | self.plot = self.__driver.createPmultilineYAxis(self.ax, x, y, |
|
319 | 325 | xmin, xmax, |
|
320 | 326 | ymin, ymax, |
|
321 | 327 | xlabel=xlabel, |
|
322 | 328 | ylabel=ylabel, |
|
323 | 329 | title=title, |
|
324 | 330 | **kwargs) |
|
325 | 331 | if self.xmin == None: self.xmin = xmin |
|
326 | 332 | if self.xmax == None: self.xmax = xmax |
|
327 | 333 | if self.ymin == None: self.ymin = ymin |
|
328 | 334 | if self.ymax == None: self.ymax = ymax |
|
329 | 335 | |
|
330 | 336 | self.__firsttime = False |
|
331 | 337 | return |
|
332 | 338 | |
|
333 | 339 | self.__driver.pmultilineyaxis(self.plot, x, y, xlabel=xlabel, |
|
334 | 340 | ylabel=ylabel, |
|
335 | 341 | title=title) |
|
336 | 342 | |
|
337 | 343 | def pcolor(self, x, y, z, |
|
338 | 344 | xmin=None, xmax=None, |
|
339 | 345 | ymin=None, ymax=None, |
|
340 | 346 | zmin=None, zmax=None, |
|
341 | 347 | xlabel='', ylabel='', |
|
342 | 348 | title='', rti = False, colormap='jet', |
|
343 | 349 | **kwargs): |
|
344 | 350 | |
|
345 | 351 | """ |
|
346 | 352 | Input: |
|
347 | 353 | x : |
|
348 | 354 | y : |
|
349 | 355 | x : |
|
350 | 356 | xmin : |
|
351 | 357 | xmax : |
|
352 | 358 | ymin : |
|
353 | 359 | ymax : |
|
354 | 360 | zmin : |
|
355 | 361 | zmax : |
|
356 | 362 | xlabel : |
|
357 | 363 | ylabel : |
|
358 | 364 | title : |
|
359 | 365 | **kwargs : Los parametros aceptados son |
|
360 | 366 | ticksize=9, |
|
361 | 367 | cblabel='' |
|
362 | 368 | rti = True or False |
|
363 | 369 | """ |
|
364 | 370 | |
|
365 | 371 | if self.__firsttime: |
|
366 | 372 | |
|
367 | 373 | if xmin == None: xmin = numpy.nanmin(x) |
|
368 | 374 | if xmax == None: xmax = numpy.nanmax(x) |
|
369 | 375 | if ymin == None: ymin = numpy.nanmin(y) |
|
370 | 376 | if ymax == None: ymax = numpy.nanmax(y) |
|
371 | 377 | if zmin == None: zmin = numpy.nanmin(z) |
|
372 | 378 | if zmax == None: zmax = numpy.nanmax(z) |
|
373 | 379 | |
|
374 | 380 | |
|
375 | 381 | self.plot = self.__driver.createPcolor(self.ax, x, y, z, |
|
376 | 382 | xmin, xmax, |
|
377 | 383 | ymin, ymax, |
|
378 | 384 | zmin, zmax, |
|
379 | 385 | xlabel=xlabel, |
|
380 | 386 | ylabel=ylabel, |
|
381 | 387 | title=title, |
|
382 | 388 | colormap=colormap, |
|
383 | 389 | **kwargs) |
|
384 | 390 | |
|
385 | 391 | if self.xmin == None: self.xmin = xmin |
|
386 | 392 | if self.xmax == None: self.xmax = xmax |
|
387 | 393 | if self.ymin == None: self.ymin = ymin |
|
388 | 394 | if self.ymax == None: self.ymax = ymax |
|
389 | 395 | if self.zmin == None: self.zmin = zmin |
|
390 | 396 | if self.zmax == None: self.zmax = zmax |
|
391 | 397 | |
|
392 | 398 | self.__firsttime = False |
|
393 | 399 | return |
|
394 | 400 | |
|
395 | 401 | if rti: |
|
396 | 402 | self.__driver.addpcolor(self.ax, x, y, z, self.zmin, self.zmax, |
|
397 | 403 | xlabel=xlabel, |
|
398 | 404 | ylabel=ylabel, |
|
399 | 405 | title=title, |
|
400 | 406 | colormap=colormap) |
|
401 | 407 | return |
|
402 | 408 | |
|
403 | 409 | self.__driver.pcolor(self.plot, z, |
|
404 | 410 | xlabel=xlabel, |
|
405 | 411 | ylabel=ylabel, |
|
406 | 412 | title=title) |
|
407 | 413 | |
|
408 | 414 | No newline at end of file |
@@ -1,990 +1,1004 | |||
|
1 | 1 | import numpy |
|
2 | import time, datetime | |
|
2 | import time, datetime, os | |
|
3 | 3 | from graphics.figure import * |
|
4 | 4 | |
|
5 | 5 | class CrossSpectraPlot(Figure): |
|
6 | 6 | |
|
7 | 7 | __isConfig = None |
|
8 | 8 | __nsubplots = None |
|
9 | 9 | |
|
10 | 10 | WIDTH = None |
|
11 | 11 | HEIGHT = None |
|
12 | 12 | WIDTHPROF = None |
|
13 | 13 | HEIGHTPROF = None |
|
14 | 14 | PREFIX = 'cspc' |
|
15 | 15 | |
|
16 | 16 | def __init__(self): |
|
17 | 17 | |
|
18 | 18 | self.__isConfig = False |
|
19 | 19 | self.__nsubplots = 4 |
|
20 | 20 | |
|
21 | 21 | self.WIDTH = 250 |
|
22 | 22 | self.HEIGHT = 250 |
|
23 | 23 | self.WIDTHPROF = 0 |
|
24 | 24 | self.HEIGHTPROF = 0 |
|
25 | 25 | |
|
26 | 26 | def getSubplots(self): |
|
27 | 27 | |
|
28 | 28 | ncol = 4 |
|
29 | 29 | nrow = self.nplots |
|
30 | 30 | |
|
31 | 31 | return nrow, ncol |
|
32 | 32 | |
|
33 | 33 | def setup(self, idfigure, nplots, wintitle, showprofile=True): |
|
34 | 34 | |
|
35 | 35 | self.__showprofile = showprofile |
|
36 | 36 | self.nplots = nplots |
|
37 | 37 | |
|
38 | 38 | ncolspan = 1 |
|
39 | 39 | colspan = 1 |
|
40 | 40 | |
|
41 | 41 | self.createFigure(idfigure = idfigure, |
|
42 | 42 | wintitle = wintitle, |
|
43 | 43 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
44 | 44 | heightplot = self.HEIGHT + self.HEIGHTPROF) |
|
45 | 45 | |
|
46 | 46 | nrow, ncol = self.getSubplots() |
|
47 | 47 | |
|
48 | 48 | counter = 0 |
|
49 | 49 | for y in range(nrow): |
|
50 | 50 | for x in range(ncol): |
|
51 | 51 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
52 | 52 | |
|
53 | 53 | counter += 1 |
|
54 | 54 | |
|
55 | 55 | def run(self, dataOut, idfigure, wintitle="", pairsList=None, showprofile='True', |
|
56 | 56 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
57 | 57 | save=False, figpath='./', figfile=None, |
|
58 | 58 | power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r'): |
|
59 | 59 | |
|
60 | 60 | """ |
|
61 | 61 | |
|
62 | 62 | Input: |
|
63 | 63 | dataOut : |
|
64 | 64 | idfigure : |
|
65 | 65 | wintitle : |
|
66 | 66 | channelList : |
|
67 | 67 | showProfile : |
|
68 | 68 | xmin : None, |
|
69 | 69 | xmax : None, |
|
70 | 70 | ymin : None, |
|
71 | 71 | ymax : None, |
|
72 | 72 | zmin : None, |
|
73 | 73 | zmax : None |
|
74 | 74 | """ |
|
75 | 75 | |
|
76 | 76 | if pairsList == None: |
|
77 | 77 | pairsIndexList = dataOut.pairsIndexList |
|
78 | 78 | else: |
|
79 | 79 | pairsIndexList = [] |
|
80 | 80 | for pair in pairsList: |
|
81 | 81 | if pair not in dataOut.pairsList: |
|
82 | 82 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
83 | 83 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
84 | 84 | |
|
85 | 85 | if pairsIndexList == []: |
|
86 | 86 | return |
|
87 | 87 | |
|
88 | 88 | if len(pairsIndexList) > 4: |
|
89 | 89 | pairsIndexList = pairsIndexList[0:4] |
|
90 | 90 | factor = dataOut.normFactor |
|
91 | 91 | x = dataOut.getVelRange(1) |
|
92 | 92 | y = dataOut.getHeiRange() |
|
93 | 93 | z = dataOut.data_spc[:,:,:]/factor |
|
94 | 94 | # z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
95 | 95 | avg = numpy.abs(numpy.average(z, axis=1)) |
|
96 | 96 | noise = dataOut.getNoise()/factor |
|
97 | 97 | |
|
98 | 98 | zdB = 10*numpy.log10(z) |
|
99 | 99 | avgdB = 10*numpy.log10(avg) |
|
100 | 100 | noisedB = 10*numpy.log10(noise) |
|
101 | 101 | |
|
102 | 102 | |
|
103 | 103 | thisDatetime = dataOut.datatime |
|
104 | 104 | title = "Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
105 | 105 | xlabel = "Velocity (m/s)" |
|
106 | 106 | ylabel = "Range (Km)" |
|
107 | 107 | |
|
108 | 108 | if not self.__isConfig: |
|
109 | 109 | |
|
110 | 110 | nplots = len(pairsIndexList) |
|
111 | 111 | |
|
112 | 112 | self.setup(idfigure=idfigure, |
|
113 | 113 | nplots=nplots, |
|
114 | 114 | wintitle=wintitle, |
|
115 | 115 | showprofile=showprofile) |
|
116 | 116 | |
|
117 | 117 | if xmin == None: xmin = numpy.nanmin(x) |
|
118 | 118 | if xmax == None: xmax = numpy.nanmax(x) |
|
119 | 119 | if ymin == None: ymin = numpy.nanmin(y) |
|
120 | 120 | if ymax == None: ymax = numpy.nanmax(y) |
|
121 | 121 | if zmin == None: zmin = numpy.nanmin(avgdB)*0.9 |
|
122 | 122 | if zmax == None: zmax = numpy.nanmax(avgdB)*0.9 |
|
123 | 123 | |
|
124 | 124 | self.__isConfig = True |
|
125 | 125 | |
|
126 | 126 | self.setWinTitle(title) |
|
127 | 127 | |
|
128 | 128 | for i in range(self.nplots): |
|
129 | 129 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
130 | 130 | |
|
131 | 131 | title = "Channel %d: %4.2fdB" %(pair[0], noisedB[pair[0]]) |
|
132 | 132 | zdB = 10.*numpy.log10(dataOut.data_spc[pair[0],:,:]/factor) |
|
133 | 133 | axes0 = self.axesList[i*self.__nsubplots] |
|
134 | 134 | axes0.pcolor(x, y, zdB, |
|
135 | 135 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
136 | 136 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
137 | 137 | ticksize=9, colormap=power_cmap, cblabel='') |
|
138 | 138 | |
|
139 | 139 | title = "Channel %d: %4.2fdB" %(pair[1], noisedB[pair[1]]) |
|
140 | 140 | zdB = 10.*numpy.log10(dataOut.data_spc[pair[1],:,:]/factor) |
|
141 | 141 | axes0 = self.axesList[i*self.__nsubplots+1] |
|
142 | 142 | axes0.pcolor(x, y, zdB, |
|
143 | 143 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
144 | 144 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
145 | 145 | ticksize=9, colormap=power_cmap, cblabel='') |
|
146 | 146 | |
|
147 | 147 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[pair[0],:,:]*dataOut.data_spc[pair[1],:,:]) |
|
148 | 148 | coherence = numpy.abs(coherenceComplex) |
|
149 | 149 | # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi |
|
150 | 150 | phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi |
|
151 | 151 | |
|
152 | 152 | title = "Coherence %d%d" %(pair[0], pair[1]) |
|
153 | 153 | axes0 = self.axesList[i*self.__nsubplots+2] |
|
154 | 154 | axes0.pcolor(x, y, coherence, |
|
155 | 155 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=0, zmax=1, |
|
156 | 156 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
157 | 157 | ticksize=9, colormap=coherence_cmap, cblabel='') |
|
158 | 158 | |
|
159 | 159 | title = "Phase %d%d" %(pair[0], pair[1]) |
|
160 | 160 | axes0 = self.axesList[i*self.__nsubplots+3] |
|
161 | 161 | axes0.pcolor(x, y, phase, |
|
162 | 162 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=-180, zmax=180, |
|
163 | 163 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
164 | 164 | ticksize=9, colormap=phase_cmap, cblabel='') |
|
165 | 165 | |
|
166 | 166 | |
|
167 | 167 | |
|
168 | 168 | self.draw() |
|
169 | 169 | |
|
170 | 170 | if save: |
|
171 | 171 | date = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
172 | 172 | if figfile == None: |
|
173 | 173 | figfile = self.getFilename(name = date) |
|
174 | 174 | |
|
175 | 175 | self.saveFigure(figpath, figfile) |
|
176 | 176 | |
|
177 | 177 | |
|
178 | 178 | class RTIPlot(Figure): |
|
179 | 179 | |
|
180 | 180 | __isConfig = None |
|
181 | 181 | __nsubplots = None |
|
182 | 182 | |
|
183 | 183 | WIDTHPROF = None |
|
184 | 184 | HEIGHTPROF = None |
|
185 | 185 | PREFIX = 'rti' |
|
186 | 186 | |
|
187 | 187 | def __init__(self): |
|
188 | 188 | |
|
189 | 189 | self.timerange = 2*60*60 |
|
190 | 190 | self.__isConfig = False |
|
191 | 191 | self.__nsubplots = 1 |
|
192 | 192 | |
|
193 | 193 | self.WIDTH = 800 |
|
194 | 194 | self.HEIGHT = 150 |
|
195 | 195 | self.WIDTHPROF = 120 |
|
196 | 196 | self.HEIGHTPROF = 0 |
|
197 | self.counterftp = 0 | |
|
197 | 198 | |
|
198 | 199 | def getSubplots(self): |
|
199 | 200 | |
|
200 | 201 | ncol = 1 |
|
201 | 202 | nrow = self.nplots |
|
202 | 203 | |
|
203 | 204 | return nrow, ncol |
|
204 | 205 | |
|
205 | 206 | def setup(self, idfigure, nplots, wintitle, showprofile=True): |
|
206 | 207 | |
|
207 | 208 | self.__showprofile = showprofile |
|
208 | 209 | self.nplots = nplots |
|
209 | 210 | |
|
210 | 211 | ncolspan = 1 |
|
211 | 212 | colspan = 1 |
|
212 | 213 | if showprofile: |
|
213 | 214 | ncolspan = 7 |
|
214 | 215 | colspan = 6 |
|
215 | 216 | self.__nsubplots = 2 |
|
216 | 217 | |
|
217 | 218 | self.createFigure(idfigure = idfigure, |
|
218 | 219 | wintitle = wintitle, |
|
219 | 220 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
220 | 221 | heightplot = self.HEIGHT + self.HEIGHTPROF) |
|
221 | 222 | |
|
222 | 223 | nrow, ncol = self.getSubplots() |
|
223 | 224 | |
|
224 | 225 | counter = 0 |
|
225 | 226 | for y in range(nrow): |
|
226 | 227 | for x in range(ncol): |
|
227 | 228 | |
|
228 | 229 | if counter >= self.nplots: |
|
229 | 230 | break |
|
230 | 231 | |
|
231 | 232 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
232 | 233 | |
|
233 | 234 | if showprofile: |
|
234 | 235 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
235 | 236 | |
|
236 | 237 | counter += 1 |
|
237 | 238 | |
|
238 | 239 | def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile='True', |
|
239 | 240 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
240 | 241 | timerange=None, |
|
241 | save=False, figpath='./', figfile=None): | |
|
242 | save=False, figpath='./', figfile=None, ftp=False, ftpratio=1): | |
|
242 | 243 | |
|
243 | 244 | """ |
|
244 | 245 | |
|
245 | 246 | Input: |
|
246 | 247 | dataOut : |
|
247 | 248 | idfigure : |
|
248 | 249 | wintitle : |
|
249 | 250 | channelList : |
|
250 | 251 | showProfile : |
|
251 | 252 | xmin : None, |
|
252 | 253 | xmax : None, |
|
253 | 254 | ymin : None, |
|
254 | 255 | ymax : None, |
|
255 | 256 | zmin : None, |
|
256 | 257 | zmax : None |
|
257 | 258 | """ |
|
258 | 259 | |
|
259 | 260 | if channelList == None: |
|
260 | 261 | channelIndexList = dataOut.channelIndexList |
|
261 | 262 | else: |
|
262 | 263 | channelIndexList = [] |
|
263 | 264 | for channel in channelList: |
|
264 | 265 | if channel not in dataOut.channelList: |
|
265 | 266 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
266 | 267 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
267 | 268 | |
|
268 | 269 | if timerange != None: |
|
269 | 270 | self.timerange = timerange |
|
270 | 271 | |
|
271 | 272 | tmin = None |
|
272 | 273 | tmax = None |
|
273 | 274 | factor = dataOut.normFactor |
|
274 | 275 | x = dataOut.getTimeRange() |
|
275 | 276 | y = dataOut.getHeiRange() |
|
276 | 277 | |
|
277 | 278 | z = dataOut.data_spc[channelIndexList,:,:]/factor |
|
278 | 279 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
279 | 280 | avg = numpy.average(z, axis=1) |
|
280 | 281 | |
|
281 | 282 | avgdB = 10.*numpy.log10(avg) |
|
282 | 283 | |
|
283 | 284 | |
|
284 | 285 | thisDatetime = dataOut.datatime |
|
285 | 286 | title = "RTI: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
286 | 287 | xlabel = "" |
|
287 | 288 | ylabel = "Range (Km)" |
|
288 | 289 | |
|
289 | 290 | if not self.__isConfig: |
|
290 | 291 | |
|
291 | 292 | nplots = len(channelIndexList) |
|
292 | 293 | |
|
293 | 294 | self.setup(idfigure=idfigure, |
|
294 | 295 | nplots=nplots, |
|
295 | 296 | wintitle=wintitle, |
|
296 | 297 | showprofile=showprofile) |
|
297 | 298 | |
|
298 | 299 | tmin, tmax = self.getTimeLim(x, xmin, xmax) |
|
299 | 300 | if ymin == None: ymin = numpy.nanmin(y) |
|
300 | 301 | if ymax == None: ymax = numpy.nanmax(y) |
|
301 | 302 | if zmin == None: zmin = numpy.nanmin(avgdB)*0.9 |
|
302 | 303 | if zmax == None: zmax = numpy.nanmax(avgdB)*0.9 |
|
303 | 304 | |
|
304 | 305 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
305 | 306 | self.__isConfig = True |
|
306 | 307 | |
|
307 | 308 | |
|
308 | 309 | self.setWinTitle(title) |
|
309 | 310 | |
|
310 | 311 | for i in range(self.nplots): |
|
311 | 312 | title = "Channel %d: %s" %(dataOut.channelList[i], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
312 | 313 | axes = self.axesList[i*self.__nsubplots] |
|
313 | 314 | zdB = avgdB[i].reshape((1,-1)) |
|
314 | 315 | axes.pcolor(x, y, zdB, |
|
315 | 316 | xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
316 | 317 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
317 | 318 | ticksize=9, cblabel='', cbsize="1%") |
|
318 | 319 | |
|
319 | 320 | if self.__showprofile: |
|
320 | 321 | axes = self.axesList[i*self.__nsubplots +1] |
|
321 | 322 | axes.pline(avgdB[i], y, |
|
322 | 323 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
323 | 324 | xlabel='dB', ylabel='', title='', |
|
324 | 325 | ytick_visible=False, |
|
325 | 326 | grid='x') |
|
326 | 327 | |
|
327 | 328 | self.draw() |
|
328 | 329 | |
|
329 | 330 | if save: |
|
330 | 331 | |
|
331 | 332 | if figfile == None: |
|
332 | 333 | figfile = self.getFilename(name = self.name) |
|
333 | 334 | |
|
334 | 335 | self.saveFigure(figpath, figfile) |
|
335 | 336 | |
|
337 | self.counterftp += 1 | |
|
338 | if (ftp and (self.counterftp==ftpratio)): | |
|
339 | figfilename = os.path.join(figpath,figfile) | |
|
340 | self.sendByFTP(figfilename) | |
|
341 | self.counterftp = 0 | |
|
342 | ||
|
336 | 343 | if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax: |
|
337 | 344 | self.__isConfig = False |
|
338 | 345 | |
|
339 | 346 | class SpectraPlot(Figure): |
|
340 | 347 | |
|
341 | 348 | __isConfig = None |
|
342 | 349 | __nsubplots = None |
|
343 | 350 | |
|
344 | 351 | WIDTHPROF = None |
|
345 | 352 | HEIGHTPROF = None |
|
346 | 353 | PREFIX = 'spc' |
|
347 | 354 | |
|
348 | 355 | def __init__(self): |
|
349 | 356 | |
|
350 | 357 | self.__isConfig = False |
|
351 | 358 | self.__nsubplots = 1 |
|
352 | 359 | |
|
353 | 360 | self.WIDTH = 230 |
|
354 | 361 | self.HEIGHT = 250 |
|
355 | 362 | self.WIDTHPROF = 120 |
|
356 | 363 | self.HEIGHTPROF = 0 |
|
357 | 364 | |
|
358 | 365 | def getSubplots(self): |
|
359 | 366 | |
|
360 | 367 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
361 | 368 | nrow = int(self.nplots*1./ncol + 0.9) |
|
362 | 369 | |
|
363 | 370 | return nrow, ncol |
|
364 | 371 | |
|
365 | 372 | def setup(self, idfigure, nplots, wintitle, showprofile=True): |
|
366 | 373 | |
|
367 | 374 | self.__showprofile = showprofile |
|
368 | 375 | self.nplots = nplots |
|
369 | 376 | |
|
370 | 377 | ncolspan = 1 |
|
371 | 378 | colspan = 1 |
|
372 | 379 | if showprofile: |
|
373 | 380 | ncolspan = 3 |
|
374 | 381 | colspan = 2 |
|
375 | 382 | self.__nsubplots = 2 |
|
376 | 383 | |
|
377 | 384 | self.createFigure(idfigure = idfigure, |
|
378 | 385 | wintitle = wintitle, |
|
379 | 386 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
380 | 387 | heightplot = self.HEIGHT + self.HEIGHTPROF) |
|
381 | 388 | |
|
382 | 389 | nrow, ncol = self.getSubplots() |
|
383 | 390 | |
|
384 | 391 | counter = 0 |
|
385 | 392 | for y in range(nrow): |
|
386 | 393 | for x in range(ncol): |
|
387 | 394 | |
|
388 | 395 | if counter >= self.nplots: |
|
389 | 396 | break |
|
390 | 397 | |
|
391 | 398 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
392 | 399 | |
|
393 | 400 | if showprofile: |
|
394 | 401 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
395 | 402 | |
|
396 | 403 | counter += 1 |
|
397 | 404 | |
|
398 | 405 | def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile='True', |
|
399 | 406 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
400 | 407 | save=False, figpath='./', figfile=None): |
|
401 | 408 | |
|
402 | 409 | """ |
|
403 | 410 | |
|
404 | 411 | Input: |
|
405 | 412 | dataOut : |
|
406 | 413 | idfigure : |
|
407 | 414 | wintitle : |
|
408 | 415 | channelList : |
|
409 | 416 | showProfile : |
|
410 | 417 | xmin : None, |
|
411 | 418 | xmax : None, |
|
412 | 419 | ymin : None, |
|
413 | 420 | ymax : None, |
|
414 | 421 | zmin : None, |
|
415 | 422 | zmax : None |
|
416 | 423 | """ |
|
417 | 424 | |
|
418 | 425 | if channelList == None: |
|
419 | 426 | channelIndexList = dataOut.channelIndexList |
|
420 | 427 | else: |
|
421 | 428 | channelIndexList = [] |
|
422 | 429 | for channel in channelList: |
|
423 | 430 | if channel not in dataOut.channelList: |
|
424 | 431 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
425 | 432 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
426 | 433 | factor = dataOut.normFactor |
|
427 | 434 | x = dataOut.getVelRange(1) |
|
428 | 435 | y = dataOut.getHeiRange() |
|
429 | 436 | |
|
430 | 437 | z = dataOut.data_spc[channelIndexList,:,:]/factor |
|
431 | 438 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
432 | 439 | avg = numpy.average(z, axis=1) |
|
433 | 440 | noise = dataOut.getNoise()/factor |
|
434 | 441 | |
|
435 | 442 | zdB = 10*numpy.log10(z) |
|
436 | 443 | avgdB = 10*numpy.log10(avg) |
|
437 | 444 | noisedB = 10*numpy.log10(noise) |
|
438 | 445 | |
|
439 | 446 | thisDatetime = dataOut.datatime |
|
440 | 447 | title = "Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
441 | 448 | xlabel = "Velocity (m/s)" |
|
442 | 449 | ylabel = "Range (Km)" |
|
443 | 450 | |
|
444 | 451 | if not self.__isConfig: |
|
445 | 452 | |
|
446 | 453 | nplots = len(channelIndexList) |
|
447 | 454 | |
|
448 | 455 | self.setup(idfigure=idfigure, |
|
449 | 456 | nplots=nplots, |
|
450 | 457 | wintitle=wintitle, |
|
451 | 458 | showprofile=showprofile) |
|
452 | 459 | |
|
453 | 460 | if xmin == None: xmin = numpy.nanmin(x) |
|
454 | 461 | if xmax == None: xmax = numpy.nanmax(x) |
|
455 | 462 | if ymin == None: ymin = numpy.nanmin(y) |
|
456 | 463 | if ymax == None: ymax = numpy.nanmax(y) |
|
457 | 464 | if zmin == None: zmin = numpy.nanmin(avgdB)*0.9 |
|
458 | 465 | if zmax == None: zmax = numpy.nanmax(avgdB)*0.9 |
|
459 | 466 | |
|
460 | 467 | self.__isConfig = True |
|
461 | 468 | |
|
462 | 469 | self.setWinTitle(title) |
|
463 | 470 | |
|
464 | 471 | for i in range(self.nplots): |
|
465 | 472 | title = "Channel %d: %4.2fdB" %(dataOut.channelList[i], noisedB[i]) |
|
466 | 473 | axes = self.axesList[i*self.__nsubplots] |
|
467 | 474 | axes.pcolor(x, y, zdB[i,:,:], |
|
468 | 475 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
469 | 476 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
470 | 477 | ticksize=9, cblabel='') |
|
471 | 478 | |
|
472 | 479 | if self.__showprofile: |
|
473 | 480 | axes = self.axesList[i*self.__nsubplots +1] |
|
474 | 481 | axes.pline(avgdB[i], y, |
|
475 | 482 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
476 | 483 | xlabel='dB', ylabel='', title='', |
|
477 | 484 | ytick_visible=False, |
|
478 | 485 | grid='x') |
|
479 | 486 | |
|
480 | 487 | noiseline = numpy.repeat(noisedB[i], len(y)) |
|
481 | 488 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
482 | 489 | |
|
483 | 490 | self.draw() |
|
484 | 491 | |
|
485 | 492 | if save: |
|
486 | 493 | date = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
487 | 494 | if figfile == None: |
|
488 | 495 | figfile = self.getFilename(name = date) |
|
489 | 496 | |
|
490 | 497 | self.saveFigure(figpath, figfile) |
|
491 | 498 | |
|
492 | 499 | class Scope(Figure): |
|
493 | 500 | |
|
494 | 501 | __isConfig = None |
|
495 | 502 | |
|
496 | 503 | def __init__(self): |
|
497 | 504 | |
|
498 | 505 | self.__isConfig = False |
|
499 | 506 | self.WIDTH = 600 |
|
500 | 507 | self.HEIGHT = 200 |
|
501 | 508 | |
|
502 | 509 | def getSubplots(self): |
|
503 | 510 | |
|
504 | 511 | nrow = self.nplots |
|
505 | 512 | ncol = 3 |
|
506 | 513 | return nrow, ncol |
|
507 | 514 | |
|
508 | 515 | def setup(self, idfigure, nplots, wintitle): |
|
509 | 516 | |
|
510 | 517 | self.nplots = nplots |
|
511 | 518 | |
|
512 | 519 | self.createFigure(idfigure, wintitle) |
|
513 | 520 | |
|
514 | 521 | nrow,ncol = self.getSubplots() |
|
515 | 522 | colspan = 3 |
|
516 | 523 | rowspan = 1 |
|
517 | 524 | |
|
518 | 525 | for i in range(nplots): |
|
519 | 526 | self.addAxes(nrow, ncol, i, 0, colspan, rowspan) |
|
520 | 527 | |
|
521 | 528 | |
|
522 | 529 | |
|
523 | 530 | def run(self, dataOut, idfigure, wintitle="", channelList=None, |
|
524 | 531 | xmin=None, xmax=None, ymin=None, ymax=None, save=False, |
|
525 | 532 | figpath='./', figfile=None): |
|
526 | 533 | |
|
527 | 534 | """ |
|
528 | 535 | |
|
529 | 536 | Input: |
|
530 | 537 | dataOut : |
|
531 | 538 | idfigure : |
|
532 | 539 | wintitle : |
|
533 | 540 | channelList : |
|
534 | 541 | xmin : None, |
|
535 | 542 | xmax : None, |
|
536 | 543 | ymin : None, |
|
537 | 544 | ymax : None, |
|
538 | 545 | """ |
|
539 | 546 | |
|
540 | 547 | if channelList == None: |
|
541 | 548 | channelIndexList = dataOut.channelIndexList |
|
542 | 549 | else: |
|
543 | 550 | channelIndexList = [] |
|
544 | 551 | for channel in channelList: |
|
545 | 552 | if channel not in dataOut.channelList: |
|
546 | 553 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
547 | 554 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
548 | 555 | |
|
549 | 556 | x = dataOut.heightList |
|
550 | 557 | y = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) |
|
551 | 558 | y = y.real |
|
552 | 559 | |
|
553 | 560 | thisDatetime = dataOut.datatime |
|
554 | 561 | title = "Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
555 | 562 | xlabel = "Range (Km)" |
|
556 | 563 | ylabel = "Intensity" |
|
557 | 564 | |
|
558 | 565 | if not self.__isConfig: |
|
559 | 566 | nplots = len(channelIndexList) |
|
560 | 567 | |
|
561 | 568 | self.setup(idfigure=idfigure, |
|
562 | 569 | nplots=nplots, |
|
563 | 570 | wintitle=wintitle) |
|
564 | 571 | |
|
565 | 572 | if xmin == None: xmin = numpy.nanmin(x) |
|
566 | 573 | if xmax == None: xmax = numpy.nanmax(x) |
|
567 | 574 | if ymin == None: ymin = numpy.nanmin(y) |
|
568 | 575 | if ymax == None: ymax = numpy.nanmax(y) |
|
569 | 576 | |
|
570 | 577 | self.__isConfig = True |
|
571 | 578 | |
|
572 | 579 | self.setWinTitle(title) |
|
573 | 580 | |
|
574 | 581 | for i in range(len(self.axesList)): |
|
575 | 582 | title = "Channel %d" %(i) |
|
576 | 583 | axes = self.axesList[i] |
|
577 | 584 | ychannel = y[i,:] |
|
578 | 585 | axes.pline(x, ychannel, |
|
579 | 586 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
580 | 587 | xlabel=xlabel, ylabel=ylabel, title=title) |
|
581 | 588 | |
|
582 | 589 | self.draw() |
|
583 | 590 | |
|
584 | 591 | if save: |
|
585 | 592 | date = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
586 | 593 | if figfile == None: |
|
587 | 594 | figfile = self.getFilename(name = date) |
|
588 | 595 | |
|
589 | 596 | self.saveFigure(figpath, figfile) |
|
590 | 597 | |
|
591 | 598 | class ProfilePlot(Figure): |
|
592 | 599 | __isConfig = None |
|
593 | 600 | __nsubplots = None |
|
594 | 601 | |
|
595 | 602 | WIDTHPROF = None |
|
596 | 603 | HEIGHTPROF = None |
|
597 | 604 | PREFIX = 'spcprofile' |
|
598 | 605 | |
|
599 | 606 | def __init__(self): |
|
600 | 607 | self.__isConfig = False |
|
601 | 608 | self.__nsubplots = 1 |
|
602 | 609 | |
|
603 | 610 | self.WIDTH = 300 |
|
604 | 611 | self.HEIGHT = 500 |
|
605 | 612 | |
|
606 | 613 | def getSubplots(self): |
|
607 | 614 | ncol = 1 |
|
608 | 615 | nrow = 1 |
|
609 | 616 | |
|
610 | 617 | return nrow, ncol |
|
611 | 618 | |
|
612 | 619 | def setup(self, idfigure, nplots, wintitle): |
|
613 | 620 | |
|
614 | 621 | self.nplots = nplots |
|
615 | 622 | |
|
616 | 623 | ncolspan = 1 |
|
617 | 624 | colspan = 1 |
|
618 | 625 | |
|
619 | 626 | self.createFigure(idfigure = idfigure, |
|
620 | 627 | wintitle = wintitle, |
|
621 | 628 | widthplot = self.WIDTH, |
|
622 | 629 | heightplot = self.HEIGHT) |
|
623 | 630 | |
|
624 | 631 | nrow, ncol = self.getSubplots() |
|
625 | 632 | |
|
626 | 633 | counter = 0 |
|
627 | 634 | for y in range(nrow): |
|
628 | 635 | for x in range(ncol): |
|
629 | 636 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
630 | 637 | |
|
631 | 638 | def run(self, dataOut, idfigure, wintitle="", channelList=None, |
|
632 | 639 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
633 | 640 | save=False, figpath='./', figfile=None): |
|
634 | 641 | |
|
635 | 642 | if channelList == None: |
|
636 | 643 | channelIndexList = dataOut.channelIndexList |
|
637 | 644 | channelList = dataOut.channelList |
|
638 | 645 | else: |
|
639 | 646 | channelIndexList = [] |
|
640 | 647 | for channel in channelList: |
|
641 | 648 | if channel not in dataOut.channelList: |
|
642 | 649 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
643 | 650 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
644 | 651 | |
|
645 | 652 | factor = dataOut.normFactor |
|
646 | 653 | y = dataOut.getHeiRange() |
|
647 | 654 | x = dataOut.data_spc[channelIndexList,:,:]/factor |
|
648 | 655 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) |
|
649 | 656 | avg = numpy.average(x, axis=1) |
|
650 | 657 | |
|
651 | 658 | avgdB = 10*numpy.log10(avg) |
|
652 | 659 | |
|
653 | 660 | thisDatetime = dataOut.datatime |
|
654 | 661 | title = "Power Profile" |
|
655 | 662 | xlabel = "dB" |
|
656 | 663 | ylabel = "Range (Km)" |
|
657 | 664 | |
|
658 | 665 | if not self.__isConfig: |
|
659 | 666 | |
|
660 | 667 | nplots = 1 |
|
661 | 668 | |
|
662 | 669 | self.setup(idfigure=idfigure, |
|
663 | 670 | nplots=nplots, |
|
664 | 671 | wintitle=wintitle) |
|
665 | 672 | |
|
666 | 673 | if ymin == None: ymin = numpy.nanmin(y) |
|
667 | 674 | if ymax == None: ymax = numpy.nanmax(y) |
|
668 | 675 | if xmin == None: xmin = numpy.nanmin(avgdB)*0.9 |
|
669 | 676 | if xmax == None: xmax = numpy.nanmax(avgdB)*0.9 |
|
670 | 677 | |
|
671 | 678 | self.__isConfig = True |
|
672 | 679 | |
|
673 | 680 | self.setWinTitle(title) |
|
674 | 681 | |
|
675 | 682 | |
|
676 | 683 | title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
677 | 684 | axes = self.axesList[0] |
|
678 | 685 | |
|
679 | 686 | legendlabels = ["channel %d"%x for x in channelList] |
|
680 | 687 | axes.pmultiline(avgdB, y, |
|
681 | 688 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
682 | 689 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, |
|
683 | 690 | ytick_visible=True, nxticks=5, |
|
684 | 691 | grid='x') |
|
685 | 692 | |
|
686 | 693 | self.draw() |
|
687 | 694 | |
|
688 | 695 | if save: |
|
689 | 696 | date = thisDatetime.strftime("%Y%m%d") |
|
690 | 697 | if figfile == None: |
|
691 | 698 | figfile = self.getFilename(name = date) |
|
692 | 699 | |
|
693 | 700 | self.saveFigure(figpath, figfile) |
|
694 | 701 | |
|
695 | 702 | class CoherenceMap(Figure): |
|
696 | 703 | __isConfig = None |
|
697 | 704 | __nsubplots = None |
|
698 | 705 | |
|
699 | 706 | WIDTHPROF = None |
|
700 | 707 | HEIGHTPROF = None |
|
701 | 708 | PREFIX = 'cmap' |
|
702 | 709 | |
|
703 | 710 | def __init__(self): |
|
704 | 711 | self.timerange = 2*60*60 |
|
705 | 712 | self.__isConfig = False |
|
706 | 713 | self.__nsubplots = 1 |
|
707 | 714 | |
|
708 | 715 | self.WIDTH = 800 |
|
709 | 716 | self.HEIGHT = 150 |
|
710 | 717 | self.WIDTHPROF = 120 |
|
711 | 718 | self.HEIGHTPROF = 0 |
|
719 | self.counterftp = 0 | |
|
712 | 720 | |
|
713 | 721 | def getSubplots(self): |
|
714 | 722 | ncol = 1 |
|
715 | 723 | nrow = self.nplots*2 |
|
716 | 724 | |
|
717 | 725 | return nrow, ncol |
|
718 | 726 | |
|
719 | 727 | def setup(self, idfigure, nplots, wintitle, showprofile=True): |
|
720 | 728 | self.__showprofile = showprofile |
|
721 | 729 | self.nplots = nplots |
|
722 | 730 | |
|
723 | 731 | ncolspan = 1 |
|
724 | 732 | colspan = 1 |
|
725 | 733 | if showprofile: |
|
726 | 734 | ncolspan = 7 |
|
727 | 735 | colspan = 6 |
|
728 | 736 | self.__nsubplots = 2 |
|
729 | 737 | |
|
730 | 738 | self.createFigure(idfigure = idfigure, |
|
731 | 739 | wintitle = wintitle, |
|
732 | 740 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
733 | 741 | heightplot = self.HEIGHT + self.HEIGHTPROF) |
|
734 | 742 | |
|
735 | 743 | nrow, ncol = self.getSubplots() |
|
736 | 744 | |
|
737 | 745 | for y in range(nrow): |
|
738 | 746 | for x in range(ncol): |
|
739 | 747 | |
|
740 | 748 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
741 | 749 | |
|
742 | 750 | if showprofile: |
|
743 | 751 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
744 | 752 | |
|
745 | 753 | def run(self, dataOut, idfigure, wintitle="", pairsList=None, showprofile='True', |
|
746 | 754 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
747 | 755 | timerange=None, |
|
748 | save=False, figpath='./', figfile=None, | |
|
756 | save=False, figpath='./', figfile=None, ftp=False, ftpratio=1, | |
|
749 | 757 | coherence_cmap='jet', phase_cmap='RdBu_r'): |
|
750 | 758 | |
|
751 | 759 | if pairsList == None: |
|
752 | 760 | pairsIndexList = dataOut.pairsIndexList |
|
753 | 761 | else: |
|
754 | 762 | pairsIndexList = [] |
|
755 | 763 | for pair in pairsList: |
|
756 | 764 | if pair not in dataOut.pairsList: |
|
757 | 765 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
758 | 766 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
759 | 767 | |
|
760 | 768 | if timerange != None: |
|
761 | 769 | self.timerange = timerange |
|
762 | 770 | |
|
763 | 771 | if pairsIndexList == []: |
|
764 | 772 | return |
|
765 | 773 | |
|
766 | 774 | if len(pairsIndexList) > 4: |
|
767 | 775 | pairsIndexList = pairsIndexList[0:4] |
|
768 | 776 | |
|
769 | 777 | tmin = None |
|
770 | 778 | tmax = None |
|
771 | 779 | x = dataOut.getTimeRange() |
|
772 | 780 | y = dataOut.getHeiRange() |
|
773 | 781 | |
|
774 | 782 | thisDatetime = dataOut.datatime |
|
775 | 783 | title = "CoherenceMap: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
776 | 784 | xlabel = "" |
|
777 | 785 | ylabel = "Range (Km)" |
|
778 | 786 | |
|
779 | 787 | if not self.__isConfig: |
|
780 | 788 | nplots = len(pairsIndexList) |
|
781 | 789 | self.setup(idfigure=idfigure, |
|
782 | 790 | nplots=nplots, |
|
783 | 791 | wintitle=wintitle, |
|
784 | 792 | showprofile=showprofile) |
|
785 | 793 | |
|
786 | 794 | tmin, tmax = self.getTimeLim(x, xmin, xmax) |
|
787 | 795 | if ymin == None: ymin = numpy.nanmin(y) |
|
788 | 796 | if ymax == None: ymax = numpy.nanmax(y) |
|
789 | 797 | |
|
790 | 798 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
791 | 799 | |
|
792 | 800 | self.__isConfig = True |
|
793 | 801 | |
|
794 | 802 | self.setWinTitle(title) |
|
795 | 803 | |
|
796 | 804 | for i in range(self.nplots): |
|
797 | 805 | |
|
798 | 806 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
799 | 807 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[pair[0],:,:]*dataOut.data_spc[pair[1],:,:]) |
|
800 | 808 | avgcoherenceComplex = numpy.average(coherenceComplex, axis=0) |
|
801 | 809 | coherence = numpy.abs(avgcoherenceComplex) |
|
802 | 810 | # coherence = numpy.abs(coherenceComplex) |
|
803 | 811 | # avg = numpy.average(coherence, axis=0) |
|
804 | 812 | |
|
805 | 813 | z = coherence.reshape((1,-1)) |
|
806 | 814 | |
|
807 | 815 | counter = 0 |
|
808 | 816 | |
|
809 | 817 | title = "Coherence %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
810 | 818 | axes = self.axesList[i*self.__nsubplots*2] |
|
811 | 819 | axes.pcolor(x, y, z, |
|
812 | 820 | xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=0, zmax=1, |
|
813 | 821 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
814 | 822 | ticksize=9, cblabel='', colormap=coherence_cmap, cbsize="1%") |
|
815 | 823 | |
|
816 | 824 | if self.__showprofile: |
|
817 | 825 | counter += 1 |
|
818 | 826 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
819 | 827 | axes.pline(coherence, y, |
|
820 | 828 | xmin=0, xmax=1, ymin=ymin, ymax=ymax, |
|
821 | 829 | xlabel='', ylabel='', title='', ticksize=7, |
|
822 | 830 | ytick_visible=False, nxticks=5, |
|
823 | 831 | grid='x') |
|
824 | 832 | |
|
825 | 833 | counter += 1 |
|
826 | 834 | # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi |
|
827 | 835 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
828 | 836 | # avg = numpy.average(phase, axis=0) |
|
829 | 837 | z = phase.reshape((1,-1)) |
|
830 | 838 | |
|
831 | 839 | title = "Phase %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
832 | 840 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
833 | 841 | axes.pcolor(x, y, z, |
|
834 | 842 | xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=-180, zmax=180, |
|
835 | 843 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
836 | 844 | ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%") |
|
837 | 845 | |
|
838 | 846 | if self.__showprofile: |
|
839 | 847 | counter += 1 |
|
840 | 848 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
841 | 849 | axes.pline(phase, y, |
|
842 | 850 | xmin=-180, xmax=180, ymin=ymin, ymax=ymax, |
|
843 | 851 | xlabel='', ylabel='', title='', ticksize=7, |
|
844 | 852 | ytick_visible=False, nxticks=4, |
|
845 | 853 | grid='x') |
|
846 | 854 | |
|
847 | 855 | self.draw() |
|
848 | 856 | |
|
849 | 857 | if save: |
|
850 | 858 | |
|
851 | 859 | if figfile == None: |
|
852 | 860 | figfile = self.getFilename(name = self.name) |
|
853 | 861 | |
|
854 | 862 | self.saveFigure(figpath, figfile) |
|
855 | 863 | |
|
864 | self.counterftp += 1 | |
|
865 | if (ftp and (self.counterftp==ftpratio)): | |
|
866 | figfilename = os.path.join(figpath,figfile) | |
|
867 | self.sendByFTP(figfilename) | |
|
868 | self.counterftp = 0 | |
|
869 | ||
|
856 | 870 | if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax: |
|
857 | 871 | self.__isConfig = False |
|
858 | 872 | |
|
859 | 873 | class RTIfromNoise(Figure): |
|
860 | 874 | |
|
861 | 875 | __isConfig = None |
|
862 | 876 | __nsubplots = None |
|
863 | 877 | |
|
864 | 878 | PREFIX = 'rtinoise' |
|
865 | 879 | |
|
866 | 880 | def __init__(self): |
|
867 | 881 | |
|
868 | 882 | self.timerange = 24*60*60 |
|
869 | 883 | self.__isConfig = False |
|
870 | 884 | self.__nsubplots = 1 |
|
871 | 885 | |
|
872 | 886 | self.WIDTH = 820 |
|
873 | 887 | self.HEIGHT = 200 |
|
874 | 888 | self.WIDTHPROF = 120 |
|
875 | 889 | self.HEIGHTPROF = 0 |
|
876 | 890 | self.xdata = None |
|
877 | 891 | self.ydata = None |
|
878 | 892 | |
|
879 | 893 | def getSubplots(self): |
|
880 | 894 | |
|
881 | 895 | ncol = 1 |
|
882 | 896 | nrow = 1 |
|
883 | 897 | |
|
884 | 898 | return nrow, ncol |
|
885 | 899 | |
|
886 | 900 | def setup(self, idfigure, nplots, wintitle, showprofile=True): |
|
887 | 901 | |
|
888 | 902 | self.__showprofile = showprofile |
|
889 | 903 | self.nplots = nplots |
|
890 | 904 | |
|
891 | 905 | ncolspan = 7 |
|
892 | 906 | colspan = 6 |
|
893 | 907 | self.__nsubplots = 2 |
|
894 | 908 | |
|
895 | 909 | self.createFigure(idfigure = idfigure, |
|
896 | 910 | wintitle = wintitle, |
|
897 | 911 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
898 | 912 | heightplot = self.HEIGHT+self.HEIGHTPROF) |
|
899 | 913 | |
|
900 | 914 | nrow, ncol = self.getSubplots() |
|
901 | 915 | |
|
902 | 916 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
903 | 917 | |
|
904 | 918 | |
|
905 | 919 | def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile='True', |
|
906 | 920 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
907 | 921 | timerange=None, |
|
908 | 922 | save=False, figpath='./', figfile=None): |
|
909 | 923 | |
|
910 | 924 | if channelList == None: |
|
911 | 925 | channelIndexList = dataOut.channelIndexList |
|
912 | 926 | channelList = dataOut.channelList |
|
913 | 927 | else: |
|
914 | 928 | channelIndexList = [] |
|
915 | 929 | for channel in channelList: |
|
916 | 930 | if channel not in dataOut.channelList: |
|
917 | 931 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
918 | 932 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
919 | 933 | |
|
920 | 934 | if timerange != None: |
|
921 | 935 | self.timerange = timerange |
|
922 | 936 | |
|
923 | 937 | tmin = None |
|
924 | 938 | tmax = None |
|
925 | 939 | x = dataOut.getTimeRange() |
|
926 | 940 | y = dataOut.getHeiRange() |
|
927 | 941 | factor = dataOut.normFactor |
|
928 | 942 | noise = dataOut.getNoise()/factor |
|
929 | 943 | noisedB = 10*numpy.log10(noise) |
|
930 | 944 | |
|
931 | 945 | thisDatetime = dataOut.datatime |
|
932 | 946 | title = "RTI Noise: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
933 | 947 | xlabel = "" |
|
934 | 948 | ylabel = "Range (Km)" |
|
935 | 949 | |
|
936 | 950 | if not self.__isConfig: |
|
937 | 951 | |
|
938 | 952 | nplots = 1 |
|
939 | 953 | |
|
940 | 954 | self.setup(idfigure=idfigure, |
|
941 | 955 | nplots=nplots, |
|
942 | 956 | wintitle=wintitle, |
|
943 | 957 | showprofile=showprofile) |
|
944 | 958 | |
|
945 | 959 | tmin, tmax = self.getTimeLim(x, xmin, xmax) |
|
946 | 960 | if ymin == None: ymin = numpy.nanmin(noisedB) |
|
947 | 961 | if ymax == None: ymax = numpy.nanmax(noisedB) |
|
948 | 962 | |
|
949 | 963 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
950 | 964 | self.__isConfig = True |
|
951 | 965 | |
|
952 | 966 | self.xdata = numpy.array([]) |
|
953 | 967 | self.ydata = numpy.array([]) |
|
954 | 968 | |
|
955 | 969 | self.setWinTitle(title) |
|
956 | 970 | |
|
957 | 971 | |
|
958 | 972 | title = "RTI Noise %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
959 | 973 | |
|
960 | 974 | legendlabels = ["channel %d"%idchannel for idchannel in channelList] |
|
961 | 975 | axes = self.axesList[0] |
|
962 | 976 | |
|
963 | 977 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
964 | 978 | |
|
965 | 979 | if len(self.ydata)==0: |
|
966 | 980 | self.ydata = noisedB[channelIndexList].reshape(-1,1) |
|
967 | 981 | else: |
|
968 | 982 | self.ydata = numpy.hstack((self.ydata, noisedB[channelIndexList].reshape(-1,1))) |
|
969 | 983 | |
|
970 | 984 | |
|
971 | 985 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
972 | 986 | xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, |
|
973 | 987 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
974 | 988 | XAxisAsTime=True |
|
975 | 989 | ) |
|
976 | 990 | |
|
977 | 991 | self.draw() |
|
978 | 992 | |
|
979 | 993 | if save: |
|
980 | 994 | |
|
981 | 995 | if figfile == None: |
|
982 | 996 | figfile = self.getFilename(name = self.name) |
|
983 | 997 | |
|
984 | 998 | self.saveFigure(figpath, figfile) |
|
985 | 999 | |
|
986 | 1000 | if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax: |
|
987 | 1001 | self.__isConfig = False |
|
988 | 1002 | del self.xdata |
|
989 | 1003 | del self.ydata |
|
990 | 1004 | No newline at end of file |
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