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Update para ploteo de Zh vs Zv , METODO plot_D, atributo Diagonal
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1 1 import numpy,os,time
2 2 import matplotlib
3 3 import argparse
4 4 import matplotlib.pyplot as plt
5 5 from wradlib.io import read_generic_hdf5
6 6 from wradlib.util import get_wradlib_data_file
7 7 from plotting_codes import sophy_cb_tables
8 8 from scipy import stats
9 import wradlib
10 from wradlib.io import read_generic_hdf5
11 from wradlib.util import get_wradlib_data_file
12 import warnings
13
14 warnings.filterwarnings('ignore')
9 15
10 16 for name, cb_table in sophy_cb_tables:
11 17 ncmap = matplotlib.colors.ListedColormap(cb_table, name=name)
12 18 matplotlib.pyplot.register_cmap(cmap=ncmap)
13 19 '''
14 20 NOTA:
21 #python test_zdr.py --parameters Z --grado 90 --mode 'PPI' --range 10 --type plot_WR --channel H
22
15 23 - python3.10
16 24 - Conda environment:
17 25 WR_CONDA_JUN14 * /home/soporte/anaconda3/envs/WR_CONDA_JUN14
18 export WRADLIB_DATA = "/media/soporte/TOSHIBAEXT/sophy/HYO_CC4_CC64_COMB@2022-12-26T00-00-32/param-EVENTO/"
26 export WRADLIB_DATA="/media/soporte/TOSHIBAEXT/sophy/HYO_CC4_CC64_COMB@2022-12-26T00-00-32/param-EVENTO/"
19 27 - Update de plotting_codes
20 28 '''
21 29 PARAM = {
22 'S': {'var': 'power','vmin': -45, 'vmax': -15, 'cmap': 'jet', 'label': 'Power','unit': 'dBm'},
23 'V': {'var': 'velocity', 'vmin': -10, 'vmax': 10 , 'cmap': 'sophy_v', 'label': 'Velocity','unit': 'm/s'},
24 'Z': {'var': 'reflectivity','vmin': -20, 'vmax': 80 , 'cmap': 'sophy_z','label': 'Reflectivity','unit': 'dBZ'},
25 'W': {'var': 'spectral_width', 'vmin': 0 , 'vmax': 12 , 'cmap': 'sophy_w','label': 'Spectral Width','unit': 'm/s'},
26 'R': {'var':'rhoHV','vmin': 0.2, 'vmax': 1, 'cmap': 'sophy_r','label': 'RhoHV', 'unit': ' '},
27 'D': {'var': 'differential_reflectivity','vmin': -9, 'vmax': 12, 'cmap': 'sophy_d','label': 'ZDR' , 'unit': 'dB'}
30 'S': {'var': 'power' ,'vmin': -45, 'vmax': -15, 'cmap': 'jet' ,'label': 'Power' ,'unit': 'dBm'},
31 'V': {'var': 'velocity' ,'vmin': -10, 'vmax': 10 , 'cmap': 'sophy_v','label': 'Velocity' ,'unit': 'm/s'},
32 'Z': {'var': 'reflectivity' ,'vmin': -20, 'vmax': 80 , 'cmap': 'sophy_z','label': 'Reflectivity' ,'unit': 'dBZ'},
33 'W': {'var': 'spectral_width' ,'vmin': 0 , 'vmax': 12 , 'cmap': 'sophy_w','label': 'Spectral Width','unit': 'm/s'},
34 'R': {'var': 'rhoHV' ,'vmin': 0.2, 'vmax': 1 , 'cmap': 'sophy_r','label': 'RhoHV' , 'unit': ' '},
35 'D': {'var': 'differential_reflectivity','vmin': -9 , 'vmax': 12 , 'cmap': 'sophy_d','label': 'ZDR' , 'unit': 'dB'}
28 36 }
29 37
30 38 class Readsophy():
31 39 def __init__(self):
32 40 self.list_file = None
33 41 self.grado = None
34 42 self.variable = None
35 43 self.save = None
36 44 self.range = None
37 def setup(self, path_file,mode,type,grado,range,r_min,variable,save):
45 def setup(self, path_file,mode,channel,type,grado,range,r_min,variable,save):
38 46 self.path_file = path_file
39 47 self.mode = mode
48 self.channel = channel
40 49 self.range = range
41 50 self.grado = grado
42 51 self.r_min = r_min
43 52 self.variable = variable
44 53 self.save = save
45 54 self.type_ = type
46 55 self.list_file = self.read_files(path_file=self.path_file,mode=self.mode,grado=self.grado, variable=self.variable)
47 print("self.list_file",self.list_file)
56 #print("self.list_file",self.list_file)
48 57
49 58 def read_files(self,path_file,mode=None,grado=None, variable=None):
50 59 if mode =='PPI':
51 60 filter= "_E"+str(grado)+".0_"+variable
52 61 else:
53 62 filter= "_A"+str(grado)+".0_"+variable
54 print("Filter :",filter)
63 #print("Filter :",filter)
55 64 validFilelist = []
56 65 fileList= os.listdir(path_file)
57 66 for thisFile in fileList:
58 67 #print(thisFile)
59 68 if not os.path.splitext(thisFile)[0][-7:] in filter:
60 print("s_:",os.path.splitext(thisFile)[0][-7:])
69 #print("s_:",os.path.splitext(thisFile)[0][-7:])
61 70 continue
62 71 validFilelist.append(thisFile)
63 72 validFilelist.sort()
64 73 return validFilelist
65 74
66 def readAttributes(self,obj,variable):
75 def readAttributes(self,obj,variable,channel,type_):
67 76 var = PARAM[variable]['var']
68 77 unit = PARAM[variable]['unit']
69 78 cmap = PARAM[variable]['cmap']
70 79 vmin = PARAM[variable]['vmin']
71 80 vmax = PARAM[variable]['vmax']
72 81 label = PARAM[variable]['label']
73 var_ = 'Data/'+var+'/H'
74 data_arr = numpy.array(obj[var_]['data']) # data
82
75 83 utc_time = numpy.array(obj['Data/time']['data'])
76 84 data_azi = numpy.array(obj['Metadata/azimuth']['data']) # th
77 85 data_ele = numpy.array(obj["Metadata/elevation"]['data'])
78 86 heightList = numpy.array(obj["Metadata/range"]['data']) # r
87 if type_ =='Diagonal':
88 var_H = 'Data/'+var+'/'+str('H')
89 var_V = 'Data/'+var+'/'+str('V')
90 data_arr_H = numpy.array(obj[var_H]['data']) # data
91 data_arr_V = numpy.array(obj[var_V]['data']) # data
92 data_arr = numpy.array([data_arr_H ,data_arr_V])
93 else:
94 var_ = 'Data/'+var+'/'+str(channel)
95 data_arr = numpy.array(obj[var_]['data']) # data
79 96 return data_arr, utc_time, data_azi,data_ele, heightList,unit,cmap,vmin,vmax,label
97
80 98
81 99 def selectHeights(self,heightList,minHei,maxHei):
82 100
83 101 if minHei and maxHei:
84 102 if (minHei < heightList[0]):
85 103 minHei = heightList[0]
86 104 if (maxHei > heightList[-1]):
87 105 maxHei = heightList[-1]
88 106 minIndex = 0
89 107 maxIndex = 0
90 108 heights = heightList
91 109
92 110 inda = numpy.where(heights >= minHei)
93 111 indb = numpy.where(heights <= maxHei)
94 112
95 113 try:
96 114 minIndex = inda[0][0]
97 115 except:
98 116 minIndex = 0
99 117
100 118 try:
101 119 maxIndex = indb[0][-1]
102 120 except:
103 121 maxIndex = len(heights)
104 122
105 123 new_heightList= self.selectHeightsByIndex(heightList=heightList,minIndex=minIndex, maxIndex=maxIndex)
106 124
107 125 return new_heightList, minIndex,maxIndex
108 126
109 127 def selectHeightsByIndex(self,heightList,minIndex, maxIndex):
110 128
111 129 if (minIndex < 0) or (minIndex > maxIndex):
112 130 raise ValueError("Height index range (%d,%d) is not valid" % (minIndex, maxIndex))
113 131
114 132 if (maxIndex >= len(heightList)):
115 133 maxIndex = len(heightList)
116 134
117 135 new_h = heightList[minIndex:maxIndex]
118 136 return new_h
119 137
120 138 def plot_RTI_PPI_RHI(self,count,x,y,z,cmap,my_time,vmin,vmax,label,unit,mode,grado):
121 139 if count==1:
122 140 fig = plt.figure(figsize=(8,6))
123 141 plt.pcolormesh(x,y,z,cmap =cmap, vmin = vmin, vmax = vmax)
124 142 title = 'Sophy Plot '+label+"-"+ my_time+" "+mode+" "+grado+" NΒ° "+str(count)
125 143 t = plt.title(title, fontsize=12,y=1.05)
126 144 cbar = plt.colorbar()
127 145 cbar.set_label(label+'[' + unit + ']')
128 146 else:
129 147 plt.pcolormesh(x,y,z, cmap =cmap, vmin = vmin, vmax = vmax)
130 148 title = 'Sophy Plot '+label+"-"+ my_time+" "+mode+" "+grado+" NΒ° "+str(count)
131 149 t = plt.title(title, fontsize=12,y=1.05)
132 150 cbar = plt.colorbar()
133 151 cbar.set_label(label+'[' + unit + ']')
134 152
135 153 def plot_PROFILE(self,count,z,y,my_time,label,mode,grado):
136 154 if count==1:
137 155 fig = plt.figure(figsize=(8,6))
138 156 plt.plot(numpy.nanmean(z,1),y)
139 157 title = 'Sophy Plot '+label+"-"+ my_time+" "+mode+" "+grado+" NΒ° "+str(count)
140 158 t = plt.title(title, fontsize=12,y=1.05)
141 159 plt.ylim(0,self.range+1)
142 160 plt.xlabel(label)
143 161 plt.ylabel('Height(Km)')
144 162 if self.variable=="R":
145 163 plt.xlim(-1,3)
146 164 if self.variable=='D':
147 165 plt.xlim(-10,10)
148 166 if self.variable=='Z':
149 167 plt.xlim(-20,80)
150 168 else:
151 169 plt.plot(numpy.nanmean(z,1),y)
152 170 title = 'Sophy Plot '+label+"-"+ my_time+" "+mode+" "+grado+" NΒ° "+str(count)
153 171 t = plt.title(title, fontsize=12,y=1.05)
154 172 plt.ylim(0,self.range+1)
155 173 plt.xlabel(label)
156 174 plt.ylabel('Height(Km)')
157 175 if self.variable=="R":
158 176 plt.xlim(-1,3)
159 177 if self.variable=='D':
160 178 plt.xlim(-10,10)
161 179 if self.variable=='Z':
162 180 plt.xlim(-20,80)
163 181
164 182 def save_PIC(self,count,time_save):
183 print("save",count)
184 if self.channel=='H':
185 ch_='0'
186 else:
187 ch_='1'
165 188 if count ==1:
166 filename = "SOPHY"+"_"+time_save+"_"+self.mode+"_"+self.grado+"_"+self.variable+str(self.range)+".png"
167 dir =self.variable+"_"+self.mode+self.grado+"CH0/"
189 #filename = "SOPHY"+"_"+time_save+"_"+self.mode+"_"+self.grado+"_"+self.variable+str(self.range)+".png"
190 filename = "SOPHY"+"_"+time_save+"_"+"E."+self.grado+"_"+self.variable+" "+self.channel+" "+str(self.range)+".png"
191 dir =self.variable+"_"+self.mode+"_"+self.grado+"_"+"CH"+ch_+"/"
168 192 filesavepath = os.path.join(self.path_file,dir)
169 193 try:
170 194 os.mkdir(filesavepath)
171 195 except:
172 196 pass
173 197 else:
174 dir =self.variable+"_"+self.mode+self.grado+"CH0/"
198 dir =self.variable+"_"+self.mode+"_"+self.grado+"_"+"CH"+ch_+"/"
175 199 filesavepath = os.path.join(self.path_file,dir)
176 filename = "SOPHY"+"_"+time_save+"_"+"E."+self.grado+"_"+self.variable+str(self.range)+".png"
200 filename = "SOPHY"+"_"+time_save+"_"+"E."+self.grado+"_"+self.variable+" "+self.channel+" "+str(self.range)+".png"
177 201 plt.savefig(filesavepath+filename)
178 202
179 203 def seleccion_roHV_min(self,count,z,y,arr_):
180 204 ##print("y",y)
181 205 if self.variable=='R':
182 206 len_Z= z.shape[1]
183 207 min_CC=numpy.zeros(len_Z)
184 208 min_index_CC = numpy.zeros(len_Z)
185 209 for i in range(len_Z):
186 210 tmp=numpy.nanmin(z[:,i])
187 211 tmp_index = numpy.nanargmin((z[:,i]))
188 212 if tmp <0.5:
189 213 tmp_index= numpy.nan
190 214 value = numpy.nan
191 215 else:
192 216 value= y[tmp_index]
193 217 min_CC[i] =value
194 218 moda_,count_m_ = stats.mode(min_CC)
195 219 #print("MODA",moda_)
196 220 for i in range(len_Z):
197 221 if min_CC[i]>moda_[0]+0.15 or min_CC[i]<moda_[0]-0.15:
198 222 min_CC[i]=numpy.nan
199 print("MIN_CC",min_CC)
200 print("y[0]",y[0])
223 #print("MIN_CC",min_CC)
224 #print("y[0]",y[0])
201 225 min_index_CC=((min_CC-y[0])/0.06)
202 226 if count == 0:
203 227 arr_ = min_index_CC
204 228 else:
205 229 arr_ = numpy.append(arr_,min_index_CC)
206 print("arr_",min_index_CC)
230 #print("arr_",min_index_CC)
207 231 return arr_
208 232 else:
209 233 print("Operation JUST for roHV - EXIT ")
210 234 exit()
211 235
212 236 def pp_BB(self,count,x,y,z,filename,c_max,prom_List):
213 237 #print("z shape",z.shape)
214 238 len_Z = z.shape[1]
215 239 len_X = x.shape[0]
216 240 try:
217 241 min_CC = numpy.load(filename)
218 242 except:
219 243 print("There is no file")
220 244 exit()
221 245
222 #print(min_CC.shape,len_X)
223 #print(min_CC)
224 246 if count ==1:
225 247 c_min = 0
226 248 c_max = c_max+ len_X
227 249 plt.plot(x,y[0]+min_CC[c_min:c_max]*0.06,'yo')
228 250 else:
229 251 c_min = c_max
230 252 c_max = c_min+len_X
231 253 try:
232 254 plt.plot(x,y[0]+min_CC[c_min:c_max]*0.06,'yo')
233 255 except:
234 256 print("Check number of file")
235 257 return 0
236 258
237 259 bb = numpy.zeros(len_Z)
238 260 min_READ_CC = min_CC[c_min:c_max]
239 261 #print(min_READ_CC[0:50])
240 262 for i in range(len_Z):
241 263 if min_READ_CC[i]==numpy.nan:
242 264 bb[i]=numpy.nan
243 265 try:
244 266 bb[i]=z[int(min_READ_CC[i])][i]
245 267 except:
246 268 bb[i]=numpy.nan
247 269 print("bb _ prom_ZDR",numpy.nanmean(bb))
248 270 prom_List.append(numpy.nanmean(bb))
249 271 return c_max
250 272
273 def plot_WR(self,count,fig,z,r,az,rf,my_time,label,unit,cmap,vmin,vmax):
274 if count ==1:
275 plt.rcParams['axes.facecolor']='black'
276 cgax, pm = wradlib.vis.plot_ppi(data=z,r=r,az=az,rf=1,fig=fig,ax=111,proj='cg',cmap=cmap,vmin=vmin,vmax=vmax)
277 caax = cgax.parasites[0]
278 title = 'Sophy Plot'+"-"+label+"-"+ my_time+" "+self.mode+"_"+self.channel+"_"+self.grado+"_"+" NΒ° "+str(count)
279 t = plt.title(title, fontsize=10,y=1.05)
280 cbar = plt.gcf().colorbar(pm,ax=cgax,shrink=0.7)
281 plt.text(1.0, 1.05, 'azimuth', transform=caax.transAxes, va='bottom',ha='right')
282 cbar.set_label(label+'[' + unit + ']')
283 caax.set_xlabel('x_range [km]')
284 caax.set_ylabel('y_range [km]')
285 gh = cgax.get_grid_helper()
286
287 else:
288 cgax, pm = wradlib.vis.plot_ppi(data=z,r=r,az=az,rf=1,fig=fig,ax=111,proj='cg',cmap=cmap,vmin=vmin,vmax=vmax)
289 caax = cgax.parasites[0]
290 title = 'Sophy Plot'+"-"+label+"-"+ my_time+" "+self.mode+"_"+self.channel+"_"+self.grado+"_"+" NΒ° "+str(count)
291 t = plt.title(title, fontsize=10,y=1.05)
292 cbar = plt.gcf().colorbar(pm,ax=cgax,shrink=0.7)
293 plt.text(1.0, 1.05, 'azimuth', transform=caax.transAxes, va='bottom',ha='right')
294 cbar.set_label(label+'[' + unit + ']')
295 caax.set_xlabel('x_range [km]')
296 caax.set_ylabel('y_range [km]')
297 gh = cgax.get_grid_helper()
298
299 def plot_D(self,count,h,x,y,my_time,label,mode,grado):
300 if count==1:
301 fig =plt.figure(figsize=(16,8))
302 ax1=plt.subplot(1,2,1)
303 ax2=plt.subplot(1,2,2)
304 ax1.plot(h,x,"bo",color="red", linestyle="dotted", lw=3,label='Zh')
305 ax1.plot(h,y,"bo",color="blue", linestyle="dotted", lw=3,label='Zv')
306 title = 'Sophy Plot '+ "Zh Zv"+"-"+ my_time+" "+mode+" "+grado+" NΒ° "+str(count)
307 fig.suptitle(title, fontsize=18)
308 #plt.ylim(0,self.range+1)
309 ax1.legend(loc=1,prop={'size': 16})
310 ax1.set_title("Z- Reflectividad vs H(Km)", fontsize=15)
311 ax1.set_ylabel('Z Reflectivity')
312 ax1.set_xlabel('H(Km)')
313 ax1.set_ylim(-20,70)
314
315 m= numpy.arange(100)-20
316 ax2.plot(x,y,"bo",color="red", linestyle="dotted", lw=3,label='Zh')
317 ax2.plot(m,m,"bo",color="green", linestyle="dotted", lw=0.5,label='Zh')
318 ax2.set_title('ZV vs ZH', fontsize=16)
319 ax2.set_xlabel('Zh dBZ')
320 ax2.set_xlim(-20,70)
321 ax2.set_ylim(-20,70)
322 ax2.set_ylabel('Zv dBZ')
323 ax2.set_xlabel('Zh dBZ')
324 ax2.legend(loc=1,prop={'size': 16})
325 else:
326 ax1=plt.subplot(1,2,1)
327 ax2=plt.subplot(1,2,2)
328 ax1.plot(h,x,"bo",color="red", linestyle="dotted", lw=3,label='Zh')
329 ax1.plot(h,y,"bo",color="blue", linestyle="dotted", lw=3,label='Zv')
330 title = 'Sophy Plot '+ "Zh Zv"+"-"+ my_time+" "+mode+" "+grado+" NΒ° "+str(count)
331 plt.suptitle(title, fontsize=18)
332 ax1.legend(loc=1,prop={'size': 16})
333 ax1.set_title("Z- Reflectividad vs H(Km)", fontsize=15)
334 ax1.set_ylabel('Z Reflectivity')
335 ax1.set_xlabel('H(Km)')
336 ax1.set_ylim(-20,70)
337 m= numpy.arange(100)-20
338 ax2.plot(x,y,"bo",color="red", linestyle="dotted", lw=3,label='Zv vs Zh')
339 ax2.plot(m,m,"bo",color="green", linestyle="dotted", lw=0.5,label='Zh=Zv')
340 ax2.set_title('ZV vs ZH', fontsize=16)
341 ax2.set_xlim(-20,70)
342 ax2.set_ylim(-20,70)
343 ax2.set_ylabel('Zv dBZ')
344 ax2.set_xlabel('Zh dBZ')
345 ax2.legend(loc=1,prop={'size': 16})
346
347 #plt.gcf()
251 348
252 349 def run(self):
253 350 count = 0
254 351 len_files = len(self.list_file)
255 352 SAVE_PARAM= []
256 353 for thisFile in self.list_file:
257 354 count= count +1
258 355 print("Count :", count)
259 356 fullpathfile = self.path_file + thisFile
260 357 filename = get_wradlib_data_file(fullpathfile)
261 358 test_hdf5 = read_generic_hdf5(filename)
262 359 # LECTURA
263 data_arr, utc_time, data_azi,data_ele, heightList,unit,cmap,vmin,vmax,label = self.readAttributes(obj= test_hdf5,variable=self.variable)
264 len_X= data_arr.shape[0]
360 data_arr, utc_time, data_azi,data_ele, heightList,unit,cmap,vmin,vmax,label = self.readAttributes(obj= test_hdf5,variable=self.variable,channel=self.channel,type_=self.type_)
361
265 362 # SELECCION DE ALTURAS
266 363 if self.range==0:
267 364 self.range == heightList[-1]
268 365 if self.r_min==0:
269 366 self.r_min = 0.01
270 367 new_heightList,minIndex,maxIndex = self.selectHeights(heightList,self.r_min,self.range)
271 368 # TIEMPO
272 369 utc_time[0] = utc_time[0]+60*60*5
273 370 my_time = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(utc_time[0]))
274 371 time_save = time.strftime('%Y%m%d_%H%M%S',time.localtime(utc_time[0]))
275 data_arr= data_arr[:,minIndex:maxIndex].transpose()
276 372 # VARIABLES
277 x=numpy.linspace(1,len_X,len_X)
278 y= new_heightList
279 z=data_arr
280 profile = numpy.mean(z,1)
373 if self.type_=='Diagonal':
374 x= numpy.nanmean(data_arr[0][:,minIndex:maxIndex].transpose(),1)
375 y= numpy.nanmean(data_arr[1][:,minIndex:maxIndex].transpose(),1)
376 h= new_heightList
377 else:
378 len_X= data_arr.shape[0]
379 data_arr_= data_arr[:,minIndex:maxIndex].transpose()
380 x=numpy.linspace(1,len_X,len_X)
381 y= new_heightList
382 z=data_arr_
383 profile = numpy.mean(z,1)
384
281 385 if count ==1:
282 386 if self.type_ =="PROFILE":
283 387 self.plot_PROFILE(count=count ,z=z,y=y,my_time=my_time,label=label,mode=self.mode,grado=self.grado)
284 388 if self.type_ =="RTI":
285 389 self.plot_RTI_PPI_RHI(count=count,x=x,y=y,z=z,cmap=cmap,my_time=my_time,vmin=vmin,vmax=vmax,label =label,unit=unit, mode=self.mode,grado=self.grado)
286 390 if self.type_ =='roHV_MIN':
287 391 arr_= self.seleccion_roHV_min(count=count,z=z,y=y,arr_= 0)
288 392 if self.type_ =='pp_BB':
289 393 self.plot_RTI_PPI_RHI(count=count,x=x,y=y,z=z,cmap=cmap,my_time=my_time,vmin=vmin,vmax=vmax,label =label,unit=unit, mode=self.mode,grado=self.grado)
290 394 c_max = self.pp_BB(count=count,x=x,y=y,z=z,filename='index.npy',c_max=0,prom_List=SAVE_PARAM)
395 if self.type_ == "plot_WR":
396 fig =plt.figure(figsize=(10,8))
397 self.plot_WR(count=count,fig=fig,z=data_arr[:,minIndex:maxIndex],r=y,az=data_azi,rf=1,my_time=my_time,label=label,unit=unit,cmap=cmap,vmin=vmin,vmax=vmax)
398 if self.type_ =="Diagonal":
399 self.plot_D(count=count,h=h,x=x,y=y,my_time=my_time,label="Zv vs Zh",mode=self.mode,grado=self.grado)
291 400 else:
292 401 if self.type_=="RTI":
293 402 self.plot_RTI_PPI_RHI(count=count,x=x,y=y,z=z,cmap=cmap,my_time=my_time,vmin=vmin,vmax=vmax,label =label,unit=unit, mode=self.mode,grado=self.grado)
294 403 if self.type_ =="PROFILE":
295 404 self. plot_PROFILE(count=count,z=z,y=y,my_time=my_time,label=label,mode=self.mode,grado=self.grado)
296 405 if self.type_ =='roHV_MIN':
297 406 arr_= self.seleccion_roHV_min(count=count,z=z,y=y,arr_= arr_)
298 407 if self.type_ =='pp_BB':
299 408 self.plot_RTI_PPI_RHI(count=count,x=x,y=y,z=z,cmap=cmap,my_time=my_time,vmin=vmin,vmax=vmax,label =label,unit=unit, mode=self.mode,grado=self.grado)
300 409 c_max = self.pp_BB(count=count,x=x,y=y,z=z,filename='index.npy',c_max=c_max,prom_List=SAVE_PARAM)
301 410 if c_max ==0:
302 411 count=len_files
303
412 if self.type_ == "plot_WR":
413 self.plot_WR(count=count,fig=fig,z=data_arr[:,minIndex:maxIndex],r=y,az=data_azi,rf=1,my_time=my_time,label=label,unit=unit,cmap=cmap,vmin=vmin,vmax=vmax)
414 if self.type_ =="Diagonal":
415 self.plot_D(count=count,h=h,x=x,y=y,my_time=my_time,label="Zv vs Zh",mode=self.mode,grado=self.grado)
416
304 417 if self.save == 1:
305 418 self.save_PIC(count=count,time_save=time_save)
306 419 plt.pause(1)
307 420 plt.clf()
308 421 if count == len_files:
309 422 if self.type_ =='roHV_MIN':
310 numpy.save("/home/soporte/WRJAN2023/schain/schainpy/scripts/index.npy",arr_)
423 numpy.save("/media/soporte/DATA/soporte/WRJAN2023/schain/schainpy/scripts/index.npy",arr_)
311 424 if self.type_ =='pp_BB':
312 numpy.save("/home/soporte/WRJAN2023/schain/schainpy/scripts/index_"+self.variable+"_prom.npy",SAVE_PARAM)
313 print("-----ADIOS-------------------")
425 numpy.save("/media/soporte/DATA/soporte/WRJAN2023/schain/schainpy/scripts/index_"+self.variable+"_prom.npy",SAVE_PARAM)
426 print("---------------------END---------------------")
314 427 plt.close()
315 428 exit()
316 429 plt.show()
317 430
318 431
319 432 def main(args):
320 433 grado = args.grado
321 434 parameters = args.parameters
322 435 r_min = args.r_min
323 436 save = args.save
324 437 range = args.range
325 438 mode = args.mode
326 439 type = args.type
440 channel = args.channel
327 441 obj = Readsophy()
442 print("------------------START-------------------")
328 443 print("MODE :", mode)
329 444 if not mode =='PPI' and not mode =='RHI':
330 445 print("Error - Choose Mode RHI or PPI")
331 446 return None
332 447 for param in parameters:
333 448 print("Parameters : ", param)
449 DIR_ = "NORMAL"
334 450 if mode =='PPI':
335 PATH = "/media/soporte/TOSHIBAEXT/sophy/HYO_CC4_CC64_COMB@2022-12-26T00-00-32/param-EVENTO/"+str(param)+"_PPI_EL_"+str(grado)+".0/"
451 #PATH = "/media/soporte/TOSHIBAEXT/sophy/HYO_CC4_CC64_COMB@2022-12-26T00-00-32/param-EVENTO/"+str(param)+"_PPI_EL_"+str(grado)+".0/"
452 #PATH = "/media/soporte/TOSHIBAEXT/sophy/HYO_CC4_CC64_COMB@2022-12-27T00-00-32/param-FIXIT/"+str(param)+"_PPI_EL_"+str(grado)+".0/"
453 PATH = "/media/soporte/DATA/sophy/HYO_CC4_CC64_COMB@2022-12-27T00-00-32/param-"+DIR_+"/"+str(param)+"_PPI_EL_"+str(grado)+".0/"
336 454 else:
337 PATH = "/media/soporte/TOSHIBAEXT/sophy/HYO_CC4_CC64_COMB@2022-12-26T00-00-32/param-EVENTO/"+str(param)+"_RHI_AZ_"+str(grado)+".0/"
455 #PATH = "/media/soporte/TOSHIBAEXT/sophy/HYO_CC4_CC64_COMB@2022-12-26T00-00-32/param-EVENTO/"+str(param)+"_RHI_AZ_"+str(grado)+".0/"
456 PATH = "/media/soporte/DATA/sophy/HYO_CC4_CC64_COMB@2022-12-27T00-00-32/param-"+DIR_+"/"+str(param)+"_PPI_EL_"+str(grado)+".0/"
457
338 458 print("Path : ",PATH)
339 obj.setup(path_file =PATH,mode=mode,type=type,grado = grado,range=range,r_min=r_min, variable=param,save=int(save))
459 obj.setup(path_file =PATH,mode=mode,channel=channel,type=type,grado = grado,range=range,r_min=r_min, variable=param,save=int(save))
340 460 print("SETUP OK")
341 461 obj.run()
342 462
343 463 if __name__ == '__main__':
344 464
345 465 parser = argparse.ArgumentParser(description='Script to process SOPHy data.')
346 466 parser.add_argument('--parameters', nargs='*', default=['S'],
347 467 help='Variables to process: P, Z, V ,W,D')
348 468 parser.add_argument('--grado', default=2,
349 469 help='Angle in Elev to plot')
350 470 parser.add_argument('--mode',default='PPI',
351 471 help='MODE PPI or RHI')
352 472 parser.add_argument('--save', default=0,
353 473 help='Save plot')
354 474 parser.add_argument('--range', default=0, type=float,
355 475 help='Max range to plot')
356 476 parser.add_argument('--r_min', default=0, type=float,
357 477 help='Min range to plot')
358 478 parser.add_argument('--type', default='RTI',
359 479 help='TYPE Profile or RTI')
480 parser.add_argument('--channel', default='H',
481 help='Choose H or V')
482
360 483 args = parser.parse_args()
361 484
362 485 main(args)
486
487 #python test_zdr.py --parameters Z --grado 90 --mode 'PPI' --range 6 --r_min 0.5 --type plot_WR --channel H --save 1 No newline at end of file
General Comments 1
note
avaldez
Comment #4
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Update para identificar canales si ha sido seleccionada la operacion plot_D, algunos directorios son estaticos, actualizar si se instala en otro equipo.

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