##// END OF EJS Templates
schain
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Update para ploteo de Zh vs Zv , METODO plot_D, atributo Diagonal
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@@ -6,25 +6,33 from wradlib.io import read_generic_hdf5
6 from wradlib.util import get_wradlib_data_file
6 from wradlib.util import get_wradlib_data_file
7 from plotting_codes import sophy_cb_tables
7 from plotting_codes import sophy_cb_tables
8 from scipy import stats
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 for name, cb_table in sophy_cb_tables:
16 for name, cb_table in sophy_cb_tables:
11 ncmap = matplotlib.colors.ListedColormap(cb_table, name=name)
17 ncmap = matplotlib.colors.ListedColormap(cb_table, name=name)
12 matplotlib.pyplot.register_cmap(cmap=ncmap)
18 matplotlib.pyplot.register_cmap(cmap=ncmap)
13 '''
19 '''
14 NOTA:
20 NOTA:
21 #python test_zdr.py --parameters Z --grado 90 --mode 'PPI' --range 10 --type plot_WR --channel H
22
15 - python3.10
23 - python3.10
16 - Conda environment:
24 - Conda environment:
17 WR_CONDA_JUN14 * /home/soporte/anaconda3/envs/WR_CONDA_JUN14
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 - Update de plotting_codes
27 - Update de plotting_codes
20 '''
28 '''
21 PARAM = {
29 PARAM = {
22 'S': {'var': 'power','vmin': -45, 'vmax': -15, 'cmap': 'jet', 'label': 'Power','unit': 'dBm'},
30 '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'},
31 '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'},
32 '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'},
33 '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': ' '},
34 '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'}
35 'D': {'var': 'differential_reflectivity','vmin': -9 , 'vmax': 12 , 'cmap': 'sophy_d','label': 'ZDR' , 'unit': 'dB'}
28 }
36 }
29
37
30 class Readsophy():
38 class Readsophy():
@@ -34,9 +42,10 class Readsophy():
34 self.variable = None
42 self.variable = None
35 self.save = None
43 self.save = None
36 self.range = None
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 self.path_file = path_file
46 self.path_file = path_file
39 self.mode = mode
47 self.mode = mode
48 self.channel = channel
40 self.range = range
49 self.range = range
41 self.grado = grado
50 self.grado = grado
42 self.r_min = r_min
51 self.r_min = r_min
@@ -44,39 +53,48 class Readsophy():
44 self.save = save
53 self.save = save
45 self.type_ = type
54 self.type_ = type
46 self.list_file = self.read_files(path_file=self.path_file,mode=self.mode,grado=self.grado, variable=self.variable)
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 def read_files(self,path_file,mode=None,grado=None, variable=None):
58 def read_files(self,path_file,mode=None,grado=None, variable=None):
50 if mode =='PPI':
59 if mode =='PPI':
51 filter= "_E"+str(grado)+".0_"+variable
60 filter= "_E"+str(grado)+".0_"+variable
52 else:
61 else:
53 filter= "_A"+str(grado)+".0_"+variable
62 filter= "_A"+str(grado)+".0_"+variable
54 print("Filter :",filter)
63 #print("Filter :",filter)
55 validFilelist = []
64 validFilelist = []
56 fileList= os.listdir(path_file)
65 fileList= os.listdir(path_file)
57 for thisFile in fileList:
66 for thisFile in fileList:
58 #print(thisFile)
67 #print(thisFile)
59 if not os.path.splitext(thisFile)[0][-7:] in filter:
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 continue
70 continue
62 validFilelist.append(thisFile)
71 validFilelist.append(thisFile)
63 validFilelist.sort()
72 validFilelist.sort()
64 return validFilelist
73 return validFilelist
65
74
66 def readAttributes(self,obj,variable):
75 def readAttributes(self,obj,variable,channel,type_):
67 var = PARAM[variable]['var']
76 var = PARAM[variable]['var']
68 unit = PARAM[variable]['unit']
77 unit = PARAM[variable]['unit']
69 cmap = PARAM[variable]['cmap']
78 cmap = PARAM[variable]['cmap']
70 vmin = PARAM[variable]['vmin']
79 vmin = PARAM[variable]['vmin']
71 vmax = PARAM[variable]['vmax']
80 vmax = PARAM[variable]['vmax']
72 label = PARAM[variable]['label']
81 label = PARAM[variable]['label']
73 var_ = 'Data/'+var+'/H'
82
74 data_arr = numpy.array(obj[var_]['data']) # data
75 utc_time = numpy.array(obj['Data/time']['data'])
83 utc_time = numpy.array(obj['Data/time']['data'])
76 data_azi = numpy.array(obj['Metadata/azimuth']['data']) # th
84 data_azi = numpy.array(obj['Metadata/azimuth']['data']) # th
77 data_ele = numpy.array(obj["Metadata/elevation"]['data'])
85 data_ele = numpy.array(obj["Metadata/elevation"]['data'])
78 heightList = numpy.array(obj["Metadata/range"]['data']) # r
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 return data_arr, utc_time, data_azi,data_ele, heightList,unit,cmap,vmin,vmax,label
96 return data_arr, utc_time, data_azi,data_ele, heightList,unit,cmap,vmin,vmax,label
97
80
98
81 def selectHeights(self,heightList,minHei,maxHei):
99 def selectHeights(self,heightList,minHei,maxHei):
82
100
@@ -162,18 +180,24 class Readsophy():
162 plt.xlim(-20,80)
180 plt.xlim(-20,80)
163
181
164 def save_PIC(self,count,time_save):
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 if count ==1:
188 if count ==1:
166 filename = "SOPHY"+"_"+time_save+"_"+self.mode+"_"+self.grado+"_"+self.variable+str(self.range)+".png"
189 #filename = "SOPHY"+"_"+time_save+"_"+self.mode+"_"+self.grado+"_"+self.variable+str(self.range)+".png"
167 dir =self.variable+"_"+self.mode+self.grado+"CH0/"
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 filesavepath = os.path.join(self.path_file,dir)
192 filesavepath = os.path.join(self.path_file,dir)
169 try:
193 try:
170 os.mkdir(filesavepath)
194 os.mkdir(filesavepath)
171 except:
195 except:
172 pass
196 pass
173 else:
197 else:
174 dir =self.variable+"_"+self.mode+self.grado+"CH0/"
198 dir =self.variable+"_"+self.mode+"_"+self.grado+"_"+"CH"+ch_+"/"
175 filesavepath = os.path.join(self.path_file,dir)
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 plt.savefig(filesavepath+filename)
201 plt.savefig(filesavepath+filename)
178
202
179 def seleccion_roHV_min(self,count,z,y,arr_):
203 def seleccion_roHV_min(self,count,z,y,arr_):
@@ -196,14 +220,14 class Readsophy():
196 for i in range(len_Z):
220 for i in range(len_Z):
197 if min_CC[i]>moda_[0]+0.15 or min_CC[i]<moda_[0]-0.15:
221 if min_CC[i]>moda_[0]+0.15 or min_CC[i]<moda_[0]-0.15:
198 min_CC[i]=numpy.nan
222 min_CC[i]=numpy.nan
199 print("MIN_CC",min_CC)
223 #print("MIN_CC",min_CC)
200 print("y[0]",y[0])
224 #print("y[0]",y[0])
201 min_index_CC=((min_CC-y[0])/0.06)
225 min_index_CC=((min_CC-y[0])/0.06)
202 if count == 0:
226 if count == 0:
203 arr_ = min_index_CC
227 arr_ = min_index_CC
204 else:
228 else:
205 arr_ = numpy.append(arr_,min_index_CC)
229 arr_ = numpy.append(arr_,min_index_CC)
206 print("arr_",min_index_CC)
230 #print("arr_",min_index_CC)
207 return arr_
231 return arr_
208 else:
232 else:
209 print("Operation JUST for roHV - EXIT ")
233 print("Operation JUST for roHV - EXIT ")
@@ -219,8 +243,6 class Readsophy():
219 print("There is no file")
243 print("There is no file")
220 exit()
244 exit()
221
245
222 #print(min_CC.shape,len_X)
223 #print(min_CC)
224 if count ==1:
246 if count ==1:
225 c_min = 0
247 c_min = 0
226 c_max = c_max+ len_X
248 c_max = c_max+ len_X
@@ -248,6 +270,81 class Readsophy():
248 prom_List.append(numpy.nanmean(bb))
270 prom_List.append(numpy.nanmean(bb))
249 return c_max
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 def run(self):
349 def run(self):
253 count = 0
350 count = 0
@@ -260,8 +357,8 class Readsophy():
260 filename = get_wradlib_data_file(fullpathfile)
357 filename = get_wradlib_data_file(fullpathfile)
261 test_hdf5 = read_generic_hdf5(filename)
358 test_hdf5 = read_generic_hdf5(filename)
262 # LECTURA
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)
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_)
264 len_X= data_arr.shape[0]
361
265 # SELECCION DE ALTURAS
362 # SELECCION DE ALTURAS
266 if self.range==0:
363 if self.range==0:
267 self.range == heightList[-1]
364 self.range == heightList[-1]
@@ -272,12 +369,19 class Readsophy():
272 utc_time[0] = utc_time[0]+60*60*5
369 utc_time[0] = utc_time[0]+60*60*5
273 my_time = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(utc_time[0]))
370 my_time = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(utc_time[0]))
274 time_save = time.strftime('%Y%m%d_%H%M%S',time.localtime(utc_time[0]))
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 # VARIABLES
372 # VARIABLES
277 x=numpy.linspace(1,len_X,len_X)
373 if self.type_=='Diagonal':
278 y= new_heightList
374 x= numpy.nanmean(data_arr[0][:,minIndex:maxIndex].transpose(),1)
279 z=data_arr
375 y= numpy.nanmean(data_arr[1][:,minIndex:maxIndex].transpose(),1)
280 profile = numpy.mean(z,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 if count ==1:
385 if count ==1:
282 if self.type_ =="PROFILE":
386 if self.type_ =="PROFILE":
283 self.plot_PROFILE(count=count ,z=z,y=y,my_time=my_time,label=label,mode=self.mode,grado=self.grado)
387 self.plot_PROFILE(count=count ,z=z,y=y,my_time=my_time,label=label,mode=self.mode,grado=self.grado)
@@ -288,6 +392,11 class Readsophy():
288 if self.type_ =='pp_BB':
392 if self.type_ =='pp_BB':
289 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)
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 c_max = self.pp_BB(count=count,x=x,y=y,z=z,filename='index.npy',c_max=0,prom_List=SAVE_PARAM)
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 else:
400 else:
292 if self.type_=="RTI":
401 if self.type_=="RTI":
293 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)
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)
@@ -300,17 +409,21 class Readsophy():
300 c_max = self.pp_BB(count=count,x=x,y=y,z=z,filename='index.npy',c_max=c_max,prom_List=SAVE_PARAM)
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 if c_max ==0:
410 if c_max ==0:
302 count=len_files
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 if self.save == 1:
417 if self.save == 1:
305 self.save_PIC(count=count,time_save=time_save)
418 self.save_PIC(count=count,time_save=time_save)
306 plt.pause(1)
419 plt.pause(1)
307 plt.clf()
420 plt.clf()
308 if count == len_files:
421 if count == len_files:
309 if self.type_ =='roHV_MIN':
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 if self.type_ =='pp_BB':
424 if self.type_ =='pp_BB':
312 numpy.save("/home/soporte/WRJAN2023/schain/schainpy/scripts/index_"+self.variable+"_prom.npy",SAVE_PARAM)
425 numpy.save("/media/soporte/DATA/soporte/WRJAN2023/schain/schainpy/scripts/index_"+self.variable+"_prom.npy",SAVE_PARAM)
313 print("-----ADIOS-------------------")
426 print("---------------------END---------------------")
314 plt.close()
427 plt.close()
315 exit()
428 exit()
316 plt.show()
429 plt.show()
@@ -324,19 +437,26 def main(args):
324 range = args.range
437 range = args.range
325 mode = args.mode
438 mode = args.mode
326 type = args.type
439 type = args.type
440 channel = args.channel
327 obj = Readsophy()
441 obj = Readsophy()
442 print("------------------START-------------------")
328 print("MODE :", mode)
443 print("MODE :", mode)
329 if not mode =='PPI' and not mode =='RHI':
444 if not mode =='PPI' and not mode =='RHI':
330 print("Error - Choose Mode RHI or PPI")
445 print("Error - Choose Mode RHI or PPI")
331 return None
446 return None
332 for param in parameters:
447 for param in parameters:
333 print("Parameters : ", param)
448 print("Parameters : ", param)
449 DIR_ = "NORMAL"
334 if mode =='PPI':
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 else:
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 print("Path : ",PATH)
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 print("SETUP OK")
460 print("SETUP OK")
341 obj.run()
461 obj.run()
342
462
@@ -357,6 +477,11 if __name__ == '__main__':
357 help='Min range to plot')
477 help='Min range to plot')
358 parser.add_argument('--type', default='RTI',
478 parser.add_argument('--type', default='RTI',
359 help='TYPE Profile or RTI')
479 help='TYPE Profile or RTI')
480 parser.add_argument('--channel', default='H',
481 help='Choose H or V')
482
360 args = parser.parse_args()
483 args = parser.parse_args()
361
484
362 main(args)
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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