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source: lmdz_wrf/trunk/tools/drawing.py @ 674

Last change on this file since 674 was 673, checked in by lfita, 9 years ago
Fixing a lot of errors on `draw_TimeSeires'
File size: 121.3 KB

Line
1	import numpy as np
2	import os
3	from netCDF4 import Dataset as NetCDFFile
4	import drawing_tools as drw
5	from optparse import OptionParser
6	import sys
7	from cStringIO import StringIO
8
9	## e.g. # drawing.py -f /media/data2/etudes/WRF_LMDZ/WL_HyMeX/IIphase/medic950116/wlmdza/wrfout/wrfout_d01_1995-01-13_00:00:00 -o create_movie -S 'draw_2D_shad#Time@WRFTimes@10@95@191@1#tas:East_West\|-1,North_South\|-1,Time\|2:longitude:latitude:Summer:270.,300.:tas\|at\|t=0:pdf:None:None' -v T2
10	## e.g. # drawing.py -f wrfout_d01_1980-03-01_00\:00\:00_Time_B0-E48-I1.nc -o draw_2D_shad -S 'tas:East_West\|-1,North_South\|-1,Time\|2:longitude:latitude:Summer:270.,300.:tas\|at\|t=0:pdf:None:cyl,i' -v T2
11	## e.g. # drawing.py -f ~/etudes/domains/MEDCORDEX/geo_em.d01.nc -o draw_2D_shad_cont -S 'landmask,height:Time\|0:Time\|0:XLONG_M:XLAT_M:rainbow:fixc,k:%.2f:0,1:0.,3000.,10:landmask & height:pdf:False:lcc,i' -v LANDMASK,HGT_M
12	## e.g. # drawing.py -f ~/etudes/domains/MEDCORDEX/geo_em.d01.nc -o draw_2D_shad_cont -S 'height,landmask:Time\|0:Time\|0:XLONG_M:XLAT_M:terrain:fixc,k:None:0.,3000.:0,1,10:MEDCORDEX height & landmask:pdf:False:lcc,i' -v HGT_M,LANDMASK
13	## e.g. # drawing.py -o draw_2D_shad_line -f 'mean_dtcon-pluc-pres_lat.nc,mean_dtcon-pluc-pres_lat.nc' -S 'dtcon,prc:bottom_top\|-1,south_north\|-1:latmean:presmean:seismic,k:-5.,5.:monthly\|dtcon\|&\|prc:pdf:flip@y:None:True' -v 'dtconmean,prcmean'
14	## e.g. # drawing.py -f 'geo_em.d02.nc' -o draw_topo_geogrid -S '0.,3000.:None:FF_3dom d02:png:cyl,i'
15	## e.g. # drawing.py -o draw_topo_geogrid_boxes -S '0.,3000.:None:FF domains:pdf:lcc,i:d01,d02,d03:0' -f geo_em.d01.nc,geo_em.d02.nc,geo_em.d03.nc
16	## e.g. # drawing.py -o draw_trajectories -f 'WRF/control/trajectory.dat@-1@/home/lluis/etudes/domains/WL_HyMeX_HighRes_C/geo_em.d03.nc#XLONG_M#XLAT_M,WRF_LMDZ/wlmdza/trajectory.dat@-1@/home/lluis/etudes/domains/WL_HyMeX_C/geo_em.d01.nc#XLONG_M#XLAT_M,WRF_LMDZ/wlmdzb/trajectory.dat@-1@/home/lluis/etudes/domains/WL_HyMeX_C/geo_em.d01.nc#XLONG_M#XLAT_M,WRF_LMDZ/wlmdzb_ii/trajectory.dat@-1@/home/lluis/etudes/domains/WL_HyMeX_C/geo_em.d01.nc#XLONG_M#XLAT_M' -S '$WRF_{CRM}$,$LMDZ_{AR4.0}$,$LMDZ_{NPv3.1}$,$LMDZ_{NPv3.1b}$\|None\|medicane trajectories\|pdf\|cyl,i' -v obs/trajectory.dat,satellite,-1
17	## e.g. # drawing.py -o draw_vals_trajectories -f WRF_LMDZ/wlmdza/tevolboxtraj_T2.nc,WRF_LMDZ/wlmdzb/tevolboxtraj_T2.nc,WRF/control/tevolboxtraj_T2.nc -S 'mean:-1:$WRF_{CRM}$,$LMDZ_{AR4.0}$,$LMDZ_{NPv3.1}$@4:tas:time\|($[DD]^[HH]$):exct,6,h:$%d^{%H}$:trajectory\|following\|mean:pdf' -v T2
18	## e.g. # drawing.py -o draw_2D_shad_time -f 'netcdf_concatenated.nc' -S 'dtcon:Time\|-1,bottom_top\|-1:presmean:time:seismic:-3.e-6,3.e-6:monthly\|dtcon:pdf:transpose:time\|hours!since!1949-12-01\|exct,2,d\|%d\|date!([DD])\|x:True' -v 'dtconmean'
19	## e.g. # drawing.py -o variable_values -S PSFC
20	## e.g. # drawing.py -o draw_timeSeries -f wrfout_d01_1979-12-01_00:00:00_bottom_top_B6-E6-I1_south_north_B3-E3-I1_west_east_B26-E26-I1.nc -S 'dt_con:time\|($[DD]^{[HH]}$):exct,12,h:$%d^{%H}$:time\|evolution\|at\|-1\|6\|3\|26:1:pdf' -v 'LDQCON,time'
21	## e.g. # drawing.py -f wrfout_d01_1979-12-01_00:00:00 -o draw_Neighbourghood_evol -S 'q:Time\|-1\|Times,bottom_top\|6\|ZNU,south_north\|3\|XLAT,west_east\|26\|XLONG:south_north,west_east:5:auto:time\|($[DD]^{[HH]}$),time\|($[DD]^{[HH]}$):exct,2,h\|exct,1,d:$%d^{%H}$,$%d^{%H}$:5\|pts\|neighbourghood\|temporal\|evolution:0.0,0.004:BuPu:pdf:True' -v QVAPOR
22	## e.g. # drawing.py -o draw_lines_time -f wrfout_d01_1980-03-01_00:00:00_Time_B0-E48-I1_south_north_B15-E15-I1_west_east_B15-E15-I1.nc -S 'time;y;time ([DD]${[HH]}$);file1;tas;evolution;time\|hours!since!1949-12-01_00:00:00\|exct,12,h\|%d$^{%H}$;pdf' -v T2
23	## e.g. # drawing.py -o draw_barbs -f ERAI_pl199501_131-132.nc -S 'X\|lon\|lon\|-1,Y\|lat\|lat\|-1,Z\|lev\|lev\|4,T\|time\|time\|0:auto,auto,auto:wind,ms-1:cyl,c:ERA-Interim\|winds\|at\|1000\|hPa\|on\|1996\|January\|1st\|at\|00\|UTC:pdf:ERAI_pl199501_131-132' -v var131,var132
24	## e.g. # ~/etudes/WRF_LMDZ/svn/LMDZ_WRF/tools/drawing.py -o draw_points -S 'tslist.dat,#,3,2,1:SuperStorm\|sfc\|stations:cyl,i:legend:auto:None:0:png:stations_loc' -f $HOME'/etudes/domains/WRFdynamicoSENS_SuperStorm/geo_em.d02.nc,XLONG_M,XLAT_M,HGT_M,Time\|0,height,0.,3000.,terrain,m'
25	## e.g. # drawing.py -o draw_points -S 'tslist.dat,#,3,2,1:SuperStorm\|sfc\|stations:cyl,i:labelled,8,black:auto:None:0:png:stations_loc' -f $HOME'/etudes/domains/WRFdynamicoSENS_SuperStorm/geo_em_west_east_B25-E180-I1_south_north_B160-E262-I1.nc,XLONG_M,XLAT_M,HGT_M,Time\|0,height,0.,1500.,terrain,m'
26	## e.g. # drawing.py -o draw_ptZvals -f geo_v2_2012102123_RR1.nc -S 'pracc:lon,lat:o:80:2,42,7,47,:values!of!values:Blues:cyl,l:pdf' -v pr
27	## e.g. # drawing.py -f carteveg5km.nc -o draw_points_lonlat -S 'longitude:latitude:pdf:points!veget\|type:green:.:0.5:None:0:legend'
28
29	main = 'drawing.py'
30
31	errormsg = 'ERROR -- error -- ERROR -- error'
32	warnmsg = 'WARNING -- waring -- WARNING -- warning'
33	fillValue=1.e20
34
35	namegraphics = ['create_movie', 'draw_2D_shad', 'draw_2D_shad_time', \
36	'draw_2D_shad_cont', 'draw_2D_shad_cont_time', 'draw_2D_shad_line', \
37	'draw_2D_shad_line_time', 'draw_barbs', 'draw_points', 'draw_points_lonlat', \
38	'draw_ptZvals', 'draw_timeSeries', \
39	'draw_topo_geogrid', \
40	'draw_topo_geogrid_boxes', 'draw_trajectories', 'draw_vals_trajectories', \
41	'draw_lines', 'draw_lines_time', 'draw_Neighbourghood_evol', 'list_graphics', \
42	'variable_values']
43
44	def draw_2D_shad(ncfile, values, varn):
45	""" plotting a fields with shading
46	draw_2D_shad(ncfile, values, varn)
47	ncfile= file to use
48	values=[vnamefs]:[dimvals]:[dimxvn]:[dimyvn]:[colorbar]:[sminv],[smaxv]:[figt]:
49	[kindfig]:[reverse]:[mapv]:[close]
50	[vnamefs]: Name in the figure of the variable to be shaded
51	[dimvals]: ',' list of [dimname]\|[value] telling at which dimension of the
52	variable a given value is required (-1, all the length)
53	[dimx/yvn]: name of the variables with the values of the final dimensions (x,y)
54	[colorbar]: name of the color bar
55	[smin/axv]: minimum and maximum value for the shading or:
56	'Srange': for full range
57	'Saroundmean@val': for mean-xtrm,mean+xtrm where xtrm = np.min(mean-min@val,max@val-mean)
58	'Saroundminmax@val': for minval,maxval
59	'Saroundpercentile@val': for median-xtrm,median+xtrm where xtrm = np.min(median-percentile_(val),
60	percentile_(100-val)-median)
61	'Smean@val': for -xtrm,xtrm where xtrm = np.min(mean-min@val,max@val-mean)
62	'Smedian@val': for -xtrm,xtrm where xtrm = np.min(median-min@val,max@val-median)
63	'Spercentile@val': for -xtrm,xtrm where xtrm = np.min(median-percentile_(val),
64	percentile_(100-val)-median)
65	[figt]: title of the figure ('\|' for spaces)
66	[kindfig]: kind of figure
67	[reverse]: Transformation of the values
68	* 'transpose': reverse the axes (x-->y, y-->x)
69	* 'flip'@[x/y]: flip the axis x or y
70	[mapv]: map characteristics: [proj],[res]
71	see full documentation: http://matplotlib.org/basemap/
72	[proj]: projection
73	* 'cyl', cilindric
74	* 'lcc', lamvbert conformal
75	[res]: resolution:
76	* 'c', crude
77	* 'l', low
78	* 'i', intermediate
79	* 'h', high
80	* 'f', full
81	valules= 'rh:z\|-1,x\|-1:z\|-1,x\|-1:lat:pressure:BuPu:0.,100.:rh:pdf:flip@y:None'
82	varn= [varsn] name of the variable to plot with shading
83	"""
84
85	fname = 'draw_2D_shad'
86	if values == 'h':
87	print fname + '_____________________________________________________________'
88	print draw_2D_shad.__doc__
89	quit()
90
91	expectargs = ['[vnamefs]', '[dimvals]', '[dimxvn]', '[dimyvn]', '[colorbar]', \
92	'[sminv],[smaxv]', '[figt]', '[kindfig]', '[reverse]', '[mapv]', '[close]']
93
94	drw.check_arguments(fname,len(expectargs),values,':',expectargs)
95
96	vnamesfig = values.split(':')[0]
97	dimvals= values.split(':')[1].replace('\|',':')
98	vdimxn = values.split(':')[2]
99	vdimyn = values.split(':')[3]
100	colbarn = values.split(':')[4]
101	shadminmax = values.split(':')[5]
102	figtitle = values.split(':')[6].replace('\|',' ')
103	figkind = values.split(':')[7]
104	revals = values.split(':')[8]
105	mapvalue = values.split(':')[9]
106	# varn = values.split(':')[10]
107
108	ncfiles = ncfile
109
110	if not os.path.isfile(ncfiles):
111	print errormsg
112	print ' ' + fname + ': shading file "' + ncfiles + '" does not exist !!'
113	quit(-1)
114
115	objsf = NetCDFFile(ncfiles, 'r')
116
117	varns = varn.split(',')[0]
118
119	if not objsf.variables.has_key(varns):
120	print errormsg
121	print ' ' + fname + ': shading file "' + ncfiles + \
122	'" does not have variable "' + varns + '" !!'
123	quit(-1)
124
125	# Variables' values
126	objvars = objsf.variables[varns]
127
128	valshad, dimsshad = drw.slice_variable(objvars, dimvals.replace(',','\|'))
129
130	# Dimensions names
131	## print fname + ' obj dimnames: ', objvars.dimensions, dimvals, len(dimvals.split(','))
132	## dimnamesv = []
133	## for idd in range(len(objvars.dimensions)):
134	## cutdim = False
135	## for idc in range(len(dimvals.split(','))):
136	## dimcutn = dimvals.split(',')[idc].split(':')[0]
137	## print objvars.dimensions[idd], dimcutn
138	## if objvars.dimensions[idd] == dimcutn:
139	## cutdim = True
140	## break
141	## if not cutdim: dimnamesv.append(objvars.dimensions[idd])
142	dimnamesv = [vdimyn, vdimxn]
143
144	if drw.searchInlist(objvars.ncattrs(),'units'):
145	varunits = objvars.getncattr('units')
146	else:
147	print warnmsg
148	print ' ' + fname + ": variable '" + varn + "' without units!!"
149	varunits = '-'
150
151	if not objsf.variables.has_key(vdimxn):
152	print errormsg
153	print ' ' + fname + ': shading file "' + ncfiles + \
154	'" does not have dimension variable "' + vdimxn + '" !!'
155	quit(-1)
156	if not objsf.variables.has_key(vdimyn):
157	print errormsg
158	print ' ' + fname + ': shading file "' + ncfiles + \
159	'" does not have dimension variable "' + vdimyn + '" !!'
160	quit(-1)
161
162	objdimx = objsf.variables[vdimxn]
163	objdimy = objsf.variables[vdimyn]
164	if drw.searchInlist(objdimx.ncattrs(),'units'):
165	odimxu = objdimx.getncattr('units')
166	else:
167	print warnmsg
168	print ' ' + fname + ": variable dimension '" + vdimxn + "' without units!!"
169	odimxu = '-'
170
171	if drw.searchInlist(objdimy.ncattrs(),'units'):
172	odimyu = objdimy.getncattr('units')
173	else:
174	print warnmsg
175	print ' ' + fname + ": variable dimension '" + vdimyn + "' without units!!"
176	odimyu = '-'
177
178	odimxv, odimyv = drw.dxdy_lonlatDIMS(objdimx[:], objdimy[:], objdimx.dimensions, \
179	objdimy.dimensions, dimvals.replace(':','\|').split(','))
180
181
182	# if len(objdimx.shape) <= 2:
183	## odimxv = objdimx[valshad.shape]
184	## odimyv = objdimy[valshad.shape]
185	# odimxv = objdimx[:]
186	# odimyv = objdimy[:]
187
188	# elif len(objdimx.shape) == 3:
189	## dimcut = [0, slice(0,valshad.shape[0]), slice(0,valshad.shape[1])]
190	## odimxv = objdimx[tuple(dimcut)]
191	## odimyv = objdimy[tuple(dimcut)]
192	# odimxv = objdimx[0,:]
193	# odimyv = objdimy[0,:]
194	# else:
195	# print errormsg
196	# print ' ' + fname + ': shape of dimension variable:', objdimx.shape, \
197	# ' not ready!!'
198	# quit(-1)
199
200	shading_nx = []
201	if shadminmax.split(',')[0][0:1] != 'S':
202	shading_nx.append(np.float(shadminmax.split(',')[0]))
203	else:
204	shading_nx.append(shadminmax.split(',')[0])
205
206	if shadminmax.split(',')[1][0:1] != 'S':
207	shading_nx.append(np.float(shadminmax.split(',')[1]))
208	else:
209	shading_nx.append(shadminmax.split(',')[1])
210
211	if mapvalue == 'None': mapvalue = None
212
213	drw.plot_2D_shadow(valshad, vnamesfig, odimxv, odimyv, odimxu, odimyu, dimnamesv,\
214	colbarn, shading_nx, varunits, figtitle, figkind, revals, mapvalue, True)
215
216	return
217
218	def draw_2D_shad_time(ncfile, values, varn):
219	""" plotting a fields with shading with time values
220	draw_2D_shad(ncfile, values, varn)
221	ncfile= file to use
222	values=[vnamefs]~[dimvals]~[dimxvn]~[dimyvn]~[colorbar]~[sminv],[smaxv]~[figt]~
223	[kindfig]~[reverse]~[timevals]~[close]
224	[vnamefs]: Name in the figure of the variable to be shaded
225	[dimvals]: ',' list of [dimname]\|[value] telling at which dimension of the
226	variable a given value is required (-1, all the length, [beg]@[end] for an interval)
227	[dimx/yvn]: name of the variables with the values of the final dimensions (x,y)
228	[colorbar]: name of the color bar
229	[smin/axv]: minimum and maximum value for the shading or:
230	'Srange': for full range
231	'Saroundmean@val': for mean-xtrm,mean+xtrm where xtrm = np.min(mean-min@val,max@val-mean)
232	'Saroundminmax@val': for minval,maxval
233	'Saroundpercentile@val': for median-xtrm,median+xtrm where xtrm = np.min(median-percentile_(val),
234	percentile_(100-val)-median)
235	'Smean@val': for -xtrm,xtrm where xtrm = np.min(mean-min@val,max@val-mean)
236	'Smedian@val': for -xtrm,xtrm where xtrm = np.min(median-min@val,max@val-median)
237	'Spercentile@val': for -xtrm,xtrm where xtrm = np.min(median-percentile_(val),
238	percentile_(100-val)-median)
239	[figt]: title of the figure ('\|' for spaces)
240	[kindfig]: kind of figure
241	[reverse]: Transformation of the values
242	* 'transpose': reverse the axes (x-->y, y-->x)
243	* 'flip'@[x/y]: flip the axis x or y
244	[timevals]: [timen]\|[units]\|[kind]\|[tfmt]\|[label]\|[timeaxis] time labels characteristics
245	[timen]; name of the time variable
246	[units]; units string according to CF conventions ([tunits] since
247	[YYYY]-[MM]-[DD] [[HH]:[MI]:[SS]], '!' for spaces)
248	[kind]; kind of output
249	'Nval': according to a given number of values as 'Nval',[Nval]
250	'exct': according to an exact time unit as 'exct',[tunit];
251	tunit= [Nunits],[tu]; [tu]= 'c': centuries, 'y': year, 'm': month,
252	'w': week, 'd': day, 'h': hour, 'i': minute, 's': second,
253	'l': milisecond
254	[tfmt]; desired format
255	[label]; label at the graph ('!' for spaces)
256	[close]: should figure be closed (finished)
257	values='dtcon~Time\|-1,bottom_top\|-1~presmean~time~seismic~-3.e-6,3.e-6~monthly\|'
258	'dtcon~pdf~transpose~time\|hours!since!1949-12-01\|exct,2,d\|%d\|date!([DD])~True
259	varn= [varsn] name of the variable to plot with shading
260	"""
261	fname = 'draw_2D_shad_time'
262
263	if values == 'h':
264	print fname + '_____________________________________________________________'
265	print draw_2D_shad_time.__doc__
266	quit()
267
268	farguments = ['[vnamefs]', '[dimvals]', '[dimxvn]', '[dimyvn]', '[colorbar]', \
269	'[sminv],[smaxv]', '[figt]', '[kindfig]', '[reverse]', '[timevals]', '[close]']
270	drw.check_arguments(fname,11,values,'~',farguments)
271
272	vnamesfig = values.split('~')[0]
273	dimvals= values.split('~')[1].replace('\|',':')
274	vdimxn = values.split('~')[2]
275	vdimyn = values.split('~')[3]
276	colbarn = values.split('~')[4]
277	shadminmax = values.split('~')[5]
278	figtitle = values.split('~')[6].replace('\|',' ')
279	figkind = values.split('~')[7]
280	revals = values.split('~')[8]
281	timevals = values.split('~')[9]
282	close = values.split('~')[10]
283
284	ncfiles = ncfile
285
286	if not os.path.isfile(ncfiles):
287	print errormsg
288	print ' ' + fname + ': shading file "' + ncfiles + '" does not exist !!'
289	quit(-1)
290
291	objsf = NetCDFFile(ncfiles, 'r')
292
293	varns = varn.split(',')[0]
294
295	if not objsf.variables.has_key(varns):
296	print errormsg
297	print ' ' + fname + ': shading file "' + ncfiles + \
298	'" does not have variable "' + varns + '" !!'
299	quit(-1)
300
301	# Variables' values
302	objvars = objsf.variables[varns]
303
304	valshad, dimsshad = drw.slice_variable(objvars, dimvals.replace(',','\|'))
305
306	dimnamesv = [vdimyn, vdimxn]
307
308	varunits = objvars.getncattr('units')
309
310	if not objsf.variables.has_key(vdimxn):
311	print errormsg
312	print ' ' + fname + ': shading file "' + ncfiles + \
313	'" does not have dimension variable "' + vdimxn + '" !!'
314	quit(-1)
315	if not objsf.variables.has_key(vdimyn):
316	print errormsg
317	print ' ' + fname + ': shading file "' + ncfiles + \
318	'" does not have dimensino variable "' + vdimyn + '" !!'
319	quit(-1)
320
321	objdimx = objsf.variables[vdimxn]
322	objdimy = objsf.variables[vdimyn]
323	odimxu = objdimx.getncattr('units')
324	odimyu = objdimy.getncattr('units')
325
326	if len(objdimx.shape) <= 2:
327	odimxv0 = objdimx[:]
328	odimyv0 = objdimy[:]
329
330	elif len(objdimx.shape) == 3:
331	odimxv0 = objdimx[0,:]
332	odimyv0 = objdimy[0,:]
333	else:
334	print errormsg
335	print ' ' + fname + ': shape of dimension variable:', objdimx.shape, \
336	' not ready!!'
337	quit(-1)
338
339	timename = timevals.split('\|')[0]
340	timeunit = timevals.split('\|')[1].replace('!',' ')
341	timekind = timevals.split('\|')[2]
342	timefmt = timevals.split('\|')[3]
343	timelabel = timevals.split('\|')[4].replace('!',' ')
344
345	# Dimensional values
346	odxv, dimsdxv = drw.slice_variable(objsf.variables[vdimxn], dimvals.replace(',','\|'))
347	odyv, dimsdyv = drw.slice_variable(objsf.variables[vdimyn], dimvals.replace(',','\|'))
348
349	if vdimxn == timename:
350	odimxv = objsf.variables[vdimxn][:]
351	odimxu = timelabel
352	timeaxis = 'x'
353	odimyv = objsf.variables[vdimyn]
354	odimyu = odimyv.getncattr('units')
355	timepos, timelabels = drw.CFtimes_plot(odxv, timeunit, timekind, timefmt)
356	elif vdimyn == timename:
357	odimyv = objsf.variables[vdimyn]
358	odimyu = timelabel
359	timeaxis = 'y'
360	odimxv = objsf.variables[vdimxn]
361	odimxu = odimxv.getncattr('units')
362	timepos, timelabels = drw.CFtimes_plot(odyv, timeunit, timekind, timefmt)
363	else:
364	print errormsg
365	print ' ' + fname + ": time variable '" + timename + "' not found!!"
366	quit(-1)
367
368	shading_nx = []
369	if shadminmax.split(',')[0][0:1] != 'S':
370	shading_nx.append(np.float(shadminmax.split(',')[0]))
371	else:
372	shading_nx.append(shadminmax.split(',')[0])
373
374	if shadminmax.split(',')[1][0:1] != 'S':
375	shading_nx.append(np.float(shadminmax.split(',')[1]))
376	else:
377	shading_nx.append(shadminmax.split(',')[1])
378
379	closeval = drw.Str_Bool(close)
380
381	drw.plot_2D_shadow_time(valshad, vnamesfig, odxv, odyv, odimxu, odimyu, \
382	dimnamesv, colbarn, shading_nx, varunits, figtitle, figkind, revals, timeaxis, \
383	timepos, timelabels, closeval)
384
385	return
386
387	def draw_2D_shad_cont(ncfile, values, varn):
388	""" plotting two fields, one with shading and the other with contour lines
389	draw_2D_shad_cont(ncfile, values, varn)
390	ncfile= [ncfilevars],[ncfilevarc] files to use (one value, same file)
391	values=[vnamefs]:[dimvals]:[dimvalc]:[dimxvn]:[dimyvn]:[colorbar]:[ckind]:[clabfmt]:[sminv],[smaxv]:[sminc],[smaxv],[Nlev]:[figt]:[kindfig]:[reverse]:[mapv]
392	[vnamefs],[vnamefc]: Name in the figure of the shaded and the contour variables
393	[dimvals/c]: list of [dimname]\|[value] telling at which dimension of the
394	variable a given value is required (no dimension name, all the length)
395	[dimx/yvn]: names of the variables with the values of the dimensions for the plot
396	[colorbar]: name of the color bar
397	[ckind]: kind of contours
398	'cmap': as it gets from colorbar
399	'fixc,[colname]': fixed color [colname], all stright lines
400	'fixsigc,[colname]': fixed color [colname], >0 stright, <0 dashed line
401	[clabfmt]: format of the labels in the contour (None, also possible)
402	[smin/axv]: minimum and maximum value for the shading
403	[sminc]:[smaxv]:[Nlev]: minimum, maximum and number of values for the contour
404	[figt]: title of the figure ('\|' for spaces)
405	[kindfig]: kind of figure
406	[reverse]: does the values be transposed? 'True/False',
407	[mapv]: map characteristics: [proj],[res]
408	see full documentation: http://matplotlib.org/basemap/
409	[proj]: projection
410	* 'cyl', cilindric
411	* 'lcc', lamvbert conformal
412	[res]: resolution:
413	* 'c', crude
414	* 'l', low
415	* 'i', intermediate
416	* 'h', high
417	* 'f', full
418	valules= 'rh,ta:z\|-1,x\|-1:z\|-1,x\|-1:lat:pressure:BuPu:fixsigc,black:%d:0.,100.:195.,305.,7:Meridonal\|average\|of\|rh\|&\|ta:pdf:flip@y:None'
419	varn= [varsn],[varcn] name of the variable to plot with shading variable with contour
420	"""
421
422	fname = 'draw_2D_shad_cont'
423	if values == 'h':
424	print fname + '_____________________________________________________________'
425	print draw_2D_shad_cont.__doc__
426	quit()
427
428	expectargs = '[vnamefs]:[dimvals]:[dimvalc]:[dimxvn]:[dimyvn]:[colorbar]:'
429	expectargs = expectargs + '[ckind]:[clabfmt]:[sminv],[smaxv]:[sminc],[smaxv],'
430	expectargs = expectargs + '[Nlev]:[figt]:[kindfig]:[reverse]:[mapv]'
431
432	drw.check_arguments(fname,len(expectargs.split(':')),values,':',expectargs)
433
434	vnamesfig = values.split(':')[0].split(',')
435	dimvals= values.split(':')[1].replace('\|',':')
436	dimvalc= values.split(':')[2].replace('\|',':')
437	vdimxn = values.split(':')[3]
438	vdimyn = values.split(':')[4]
439	colbarn = values.split(':')[5]
440	countkind = values.split(':')[6]
441	countlabelfmt = values.split(':')[7]
442	shadminmax = values.split(':')[8]
443	contlevels = values.split(':')[9]
444	figtitle = values.split(':')[10].replace('\|',' ')
445	figkind = values.split(':')[11]
446	revals = values.split(':')[12]
447	mapvalue = values.split(':')[13]
448
449	if2filenames = ncfile.find(',')
450
451	if if2filenames != -1:
452	ncfiles = ncfile.split(',')[0]
453	ncfilec = ncfile.split(',')[1]
454	else:
455	ncfiles = ncfile
456	ncfilec = ncfile
457
458	if not os.path.isfile(ncfiles):
459	print errormsg
460	print ' ' + fname + ': shading file "' + ncfiles + '" does not exist !!'
461	quit(-1)
462
463	if not os.path.isfile(ncfilec):
464	print errormsg
465	print ' ' + fname + ': contour file "' + ncfilec + '" does not exist !!'
466	quit(-1)
467
468	objsf = NetCDFFile(ncfiles, 'r')
469	objcf = NetCDFFile(ncfilec, 'r')
470
471	varns = varn.split(',')[0]
472	varnc = varn.split(',')[1]
473
474	if not objsf.variables.has_key(varns):
475	print errormsg
476	print ' ' + fname + ': shading file "' + ncfiles + \
477	'" does not have variable "' + varns + '" !!'
478	quit(-1)
479
480	if not objcf.variables.has_key(varnc):
481	print errormsg
482	print ' ' + fname + ': contour file "' + ncfilec + \
483	'" does not have variable "' + varnc + '" !!'
484	quit(-1)
485
486	# Variables' values
487	objvars = objsf.variables[varns]
488	objvarc = objcf.variables[varnc]
489
490	if len(objvars.shape) != len(objvarc.shape):
491	print errormsg
492	print ' ' + fname + ': shading variable "' + varns + '" has a shape: ', \
493	objvars.shape, 'different than contour variable "' + varnc + '": ', \
494	objvarc.shape,' !!!'
495	quit(-1)
496
497	for idim in range(len(objvars.shape)):
498	if objvars.shape[idim] != objvarc.shape[idim]:
499	print errormsg
500	print ' ' + fname + ': shading variable "' + varns + '" has a shape: ', \
501	objvars.shape, 'different than contour variable "' + varnc + '": ', \
502	objvarc.shape,' !!!'
503	quit(-1)
504
505	valshad, dimsshad = drw.slice_variable(objvars, dimvals.replace(',','\|'))
506	valcont, dimscont = drw.slice_variable(objvarc, dimvalc.replace(',','\|'))
507
508	# Dimensions names
509	## print fname + ' obj dimnames: ', objvars.dimensions, dimvals, len(dimvals.split(','))
510	## dimnamesv = []
511	## for idd in range(len(objvars.dimensions)):
512	## cutdim = False
513	## for idc in range(len(dimvals.split(','))):
514	## dimcutn = dimvals.split(',')[idc].split(':')[0]
515	## print objvars.dimensions[idd], dimcutn
516	## if objvars.dimensions[idd] == dimcutn:
517	## cutdim = True
518	## break
519	## if not cutdim: dimnamesv.append(objvars.dimensions[idd])
520	dimnamesv = [vdimyn, vdimxn]
521
522	varunits = []
523	varunits.append(objvars.getncattr('units'))
524	varunits.append(objvarc.getncattr('units'))
525
526	if not objsf.variables.has_key(vdimxn):
527	print errormsg
528	print ' ' + fname + ': shading file "' + ncfiles + \
529	'" does not have dimension variable "' + vdimxn + '" !!'
530	quit(-1)
531	if not objsf.variables.has_key(vdimyn):
532	print errormsg
533	print ' ' + fname + ': shading file "' + ncfiles + \
534	'" does not have dimensino variable "' + vdimyn + '" !!'
535	quit(-1)
536
537	objdimx = objsf.variables[vdimxn]
538	objdimy = objsf.variables[vdimyn]
539	odimxu = objdimx.getncattr('units')
540	odimyu = objdimy.getncattr('units')
541
542	# Getting only that dimensions with coincident names
543	odimxv, odimyv = drw.dxdy_lonlatDIMS(objdimx[:], objdimy[:], objdimx.dimensions, \
544	objdimy.dimensions, dimvals.replace(':','\|').split(','))
545
546	# dimnvx = objdimx.dimensions
547	# cutslice = []
548	# for idimn in objdimx.dimensions:
549	# found = False
550	# for dimsn in dimsshad:
551	# if idimn == dimsn:
552	# cutslice.append(slice(0,len(objsf.dimensions[idimn])))
553	# found = True
554	# if not found: cutslice.append(0)
555	#
556	# odimxv = objdimx[tuple(cutslice)]
557	#
558	# dimnvy = objdimy.dimensions
559	# cutslice = []
560	# for idimn in objdimy.dimensions:
561	# found = False
562	# for dimsn in dimsshad:
563	# if idimn == dimsn:
564	# cutslice.append(slice(0,len(objsf.dimensions[idimn])))
565	# found = True
566	# if not found: cutslice.append(0)
567	#
568	# odimyv = objdimy[tuple(cutslice)]
569
570	# if len(objdimx.shape) <= 2:
571	# odimxv = objdimx[:]
572	# odimyv = objdimy[:]
573	# elif len(objdimx.shape) == 3:
574	# odimxv = objdimx[0,:]
575	# odimyv = objdimy[0,:]
576	# else:
577	# print errormsg
578	# print ' ' + fname + ': shape of dimension variable:', objdimx.shape, \
579	# ' not ready!!'
580	# quit(-1)
581
582	if countlabelfmt == 'None':
583	countlfmt = None
584	else:
585	countlfmt = countlabelfmt
586
587	shading_nx = np.zeros((2), dtype=np.float)
588	shading_nx[0] = np.float(shadminmax.split(',')[0])
589	shading_nx[1] = np.float(shadminmax.split(',')[1])
590
591	clevmin = np.float(contlevels.split(',')[0])
592	clevmax = np.float(contlevels.split(',')[1])
593	Nclevels = int(contlevels.split(',')[2])
594
595	levels_cont = drw.pretty_int(clevmin, clevmax, Nclevels)
596
597	if len(levels_cont) <= 1:
598	print warnmsg
599	print ' ' + fname + ': wrong contour levels:', levels_cont,' !!'
600	del(levels_cont)
601	levels_cont = np.zeros((Nclevels), dtype=np.float)
602	levels_cont = np.arange(7)*(clevmax - clevmin)/(Nclevels-1)
603	print ' generating default ones: ',levels_cont
604
605	if mapvalue == 'None': mapvalue = None
606
607	drw.plot_2D_shadow_contour(valshad, valcont, vnamesfig, odimxv, odimyv, odimxu, \
608	odimyu, dimnamesv, colbarn, countkind, countlfmt, shading_nx, levels_cont, \
609	varunits, figtitle, figkind, revals, mapvalue)
610
611	return
612
613	def draw_2D_shad_cont_time(ncfile, values, varn):
614	""" plotting two fields, one with shading and the other with contour lines being
615	one of the dimensions of time characteristics
616	draw_2D_shad_cont(ncfile, values, varn)
617	ncfile= [ncfilevars],[ncfilevarc] files to use (one value, same file)
618	values=[vnamefs]:[dimvals]:[dimvalc]:[dimxvn]:[dimyvn]:[colorbar]:[ckind]:[clabfmt]:[sminv],[smaxv]:[sminc],[smaxv],[Nlev]:[figt]:[kindfig]:[reverse]:[timevals]:[mapv]
619	[vnamefs],[vnamefc]: Name in the figure of the shaded and the contour variables
620	[dimvals/c]: list of [dimname]\|[value] telling at which dimension of the
621	variable a given value is required (no dimension name, all the length)
622	[dimx/yvn]: ',' list with the name of the variables with the values of the dimensions
623	[colorbar]: name of the color bar
624	[ckind]: kind of contours
625	'cmap': as it gets from colorbar
626	'fixc,[colname]': fixed color [colname], all stright lines
627	'fixsigc,[colname]': fixed color [colname], >0 stright, <0 dashed line
628	[clabfmt]: format of the labels in the contour (None, also possible)
629	[smin/axv]: minimum and maximum value for the shading
630	[sminc]:[smaxv]:[Nlev]: minimum, maximum and number of values for the contour
631	[figt]: title of the figure ('\|' for spaces)
632	[kindfig]: kind of figure
633	[reverse]: modification to the dimensions:
634	'transposed': transpose matrices
635	'flip',[x/y]: flip only the dimension [x] or [y]
636	[timevals]: [timen]\|[units]\|[kind]\|[tfmt]\|[label] time labels characteristics
637	[timen]; name of the time variable
638	[units]; units string according to CF conventions ([tunits] since
639	[YYYY]-[MM]-[DD] [[HH]:[MI]:[SS]], '!' for spaces)
640	[kind]; kind of output
641	'Nval': according to a given number of values as 'Nval',[Nval]
642	'exct': according to an exact time unit as 'exct',[tunit];
643	tunit= [Nunits],[tu]; [tu]= 'c': centuries, 'y': year, 'm': month,
644	'w': week, 'd': day, 'h': hour, 'i': minute, 's': second,
645	'l': milisecond
646	[tfmt]; desired format
647	[label]; label at the graph ('!' for spaces)
648	[mapv]: map characteristics: [proj],[res]
649	see full documentation: http://matplotlib.org/basemap/
650	[proj]: projection
651	* 'cyl', cilindric
652	* 'lcc', lamvbert conformal
653	[res]: resolution:
654	* 'c', crude
655	* 'l', low
656	* 'i', intermediate
657	* 'h', high
658	* 'f', full
659	valules= 'rh,ta:z\|-1,x\|-1:z\|-1,x\|-1:lat:pressure:BuPu:fixsigc,black:%d:0.,100.:195.,305.,7:Meridonal\|average\|of\|rh\|&\|ta:pdf:flip@y:time!hours!since!1949/12/01\|exct,5d\|%d\|date!([DD]):None'
660	varn= [varsn],[varcn] name of the variable to plot with shading variable with contour
661	"""
662
663	fname = 'draw_2D_shad_cont_time'
664	if values == 'h':
665	print fname + '_____________________________________________________________'
666	print draw_2D_shad_cont_time.__doc__
667	quit()
668
669	expectargs = ['[vnamefs]', '[dimvals]', '[dimvalc]', '[dimxvn]', '[dimyvn]', \
670	'[colorbar]', '[ckind]', '[clabfmt]', '[sminv],[smaxv]', \
671	'[sminc],[smaxv],[Nlev]', '[figt]', '[kindfig]', '[reverse]', '[timevals]', \
672	'[mapv]']
673
674	drw.check_arguments(fname,len(expectargs),values,':',expectargs)
675
676	vnamesfig = values.split(':')[0].split(',')
677	dimvals= values.split(':')[1].replace('\|',':')
678	dimvalc= values.split(':')[2].replace('\|',':')
679	vdimxn = values.split(':')[3]
680	vdimyn = values.split(':')[4]
681	colbarn = values.split(':')[5]
682	countkind = values.split(':')[6]
683	countlabelfmt = values.split(':')[7]
684	shadminmax = values.split(':')[8]
685	contlevels = values.split(':')[9]
686	figtitle = values.split(':')[10].replace('\|',' ')
687	figkind = values.split(':')[11]
688	revals = values.split(':')[12]
689	timevals = values.split(':')[13]
690	mapvalue = values.split(':')[14]
691
692	if2filenames = ncfile.find(',')
693
694	if if2filenames != -1:
695	ncfiles = ncfile.split(',')[0]
696	ncfilec = ncfile.split(',')[1]
697	else:
698	ncfiles = ncfile
699	ncfilec = ncfile
700
701	if not os.path.isfile(ncfiles):
702	print errormsg
703	print ' ' + fname + ': shading file "' + ncfiles + '" does not exist !!'
704	quit(-1)
705
706	if not os.path.isfile(ncfilec):
707	print errormsg
708	print ' ' + fname + ': contour file "' + ncfilec + '" does not exist !!'
709	quit(-1)
710
711	objsf = NetCDFFile(ncfiles, 'r')
712	objcf = NetCDFFile(ncfilec, 'r')
713
714	varns = varn.split(',')[0]
715	varnc = varn.split(',')[1]
716
717	if not objsf.variables.has_key(varns):
718	print errormsg
719	print ' ' + fname + ': shading file "' + ncfiles + \
720	'" does not have variable "' + varns + '" !!'
721	quit(-1)
722
723	if not objcf.variables.has_key(varnc):
724	print errormsg
725	print ' ' + fname + ': contour file "' + ncfilec + \
726	'" does not have variable "' + varnc + '" !!'
727	quit(-1)
728
729	# Variables' values
730	objvars = objsf.variables[varns]
731	objvarc = objcf.variables[varnc]
732
733	if len(objvars.shape) != len(objvarc.shape):
734	print errormsg
735	print ' ' + fname + ': shading variable "' + varns + '" has a shape: ', \
736	objvars.shape, 'different than contour variable "' + varnc + '": ', \
737	objvarc.shape,' !!!'
738	quit(-1)
739
740	for idim in range(len(objvars.shape)):
741	if objvars.shape[idim] != objvarc.shape[idim]:
742	print errormsg
743	print ' ' + fname + ': shading variable "' + varns + '" has a shape: ', \
744	objvars.shape, 'different than contour variable "' + varnc + '": ', \
745	objvarc.shape,' !!!'
746	quit(-1)
747
748	valshad, dimsshad = drw.slice_variable(objvars, dimvals.replace(',','\|'))
749	valcont, dimscont = drw.slice_variable(objvarc, dimvalc.replace(',','\|'))
750
751	# Dimensions names
752	## print fname + ' obj dimnames: ', objvars.dimensions, dimvals, len(dimvals.split(','))
753	## dimnamesv = []
754	## for idd in range(len(objvars.dimensions)):
755	## cutdim = False
756	## for idc in range(len(dimvals.split(','))):
757	## dimcutn = dimvals.split(',')[idc].split(':')[0]
758	## print objvars.dimensions[idd], dimcutn
759	## if objvars.dimensions[idd] == dimcutn:
760	## cutdim = True
761	## break
762	## if not cutdim: dimnamesv.append(objvars.dimensions[idd])
763	dimnamesv = [vdimyn, vdimxn]
764
765	varunits = []
766	varunits.append(objvars.getncattr('units'))
767	varunits.append(objvarc.getncattr('units'))
768
769	if not objsf.variables.has_key(vdimxn):
770	print errormsg
771	print ' ' + fname + ': shading file "' + ncfiles + \
772	'" does not have dimension variable "' + vdimxn + '" !!'
773	quit(-1)
774	if not objsf.variables.has_key(vdimyn):
775	print errormsg
776	print ' ' + fname + ': shading file "' + ncfiles + \
777	'" does not have dimension variable "' + vdimyn + '" !!'
778	quit(-1)
779
780	timename = timevals.split('\|')[0]
781	timeunit = timevals.split('\|')[1].replace('!',' ')
782	timekind = timevals.split('\|')[2]
783	timefmt = timevals.split('\|')[3]
784	timelabel = timevals.split('\|')[4].replace('!',' ')
785
786	if vdimxn == timename:
787	timevals = objsf.variables[vdimxn][:]
788	timedims = objsf.variables[vdimxn].dimensions
789	dimt = 'x'
790	ovalaxis = objsf.variables[vdimyn]
791	ovalu = ovalaxis.getncattr('units')
792	elif vdimyn == timename:
793	timevals = objsf.variables[vdimyn][:]
794	timedims = objsf.variables[vdimyn].dimensions
795	dimt = 'y'
796	ovalaxis = objsf.variables[vdimxn]
797	ovalu = ovalaxis.getncattr('units')
798	else:
799	print errormsg
800	print ' ' + fname + ": time variable '" + timename + "' not found!!"
801	quit(-1)
802
803	timepos, timelabels = drw.CFtimes_plot(timevals, timeunit, timekind, timefmt)
804
805	# Getting only that dimensions with coincident names
806	dimnvx = ovalaxis.dimensions
807
808	cutslice = []
809	for idimn in dimsshad:
810	found = False
811	for dimsn in dimnvx:
812	if idimn == dimsn:
813	cutslice.append(slice(0,len(objsf.dimensions[idimn])))
814	found = True
815	if not found: cutslice.append(0)
816
817	ovalaxisv = ovalaxis[tuple(cutslice)]
818
819	## if len(ovalaxis.shape) <= 2:
820	## ovalaxisv = ovalaxis[:]
821
822	## elif len(ovalaxis.shape) == 3:
823	## ovalaxisv = ovalaxis[0,:]
824	## else:
825	## print errormsg
826	## print ' ' + fname + ': shape of dimension variable:', ovalaxis.shape, \
827	## ' not ready!!'
828	## quit(-1)
829
830	if countlabelfmt == 'None':
831	countlfmt = None
832	else:
833	countlfmt = countlabelfmt
834
835	shading_nx = np.zeros((2), dtype=np.float)
836	shading_nx[0] = np.float(shadminmax.split(',')[0])
837	shading_nx[1] = np.float(shadminmax.split(',')[1])
838
839	clevmin = np.float(contlevels.split(',')[0])
840	clevmax = np.float(contlevels.split(',')[1])
841	Nclevels = int(contlevels.split(',')[2])
842
843	levels_cont = drw.pretty_int(clevmin, clevmax, Nclevels)
844
845	if len(levels_cont) <= 1:
846	print warnmsg
847	print ' ' + fname + ': wrong contour levels:', levels_cont,' !!'
848	del(levels_cont)
849	levels_cont = np.zeros((Nclevels), dtype=np.float)
850	levels_cont = np.arange(7)*(clevmax - clevmin)/(Nclevels-1)
851	print ' generating default ones: ',levels_cont
852
853	if mapvalue == 'None': mapvalue = None
854
855	drw.plot_2D_shadow_contour_time(valshad, valcont, vnamesfig, ovalaxisv, \
856	timevals, timepos, timelabels, ovalu, timelabel, dimt, dimnamesv, colbarn, \
857	countkind, countlfmt, shading_nx, levels_cont, varunits, figtitle, figkind, \
858	revals, mapvalue)
859
860	return
861
862	def draw_2D_shad_line(ncfile, values, varn):
863	""" plotting a fields with shading and another with line
864	draw_2D_shad_line(ncfile, values, varn)
865	ncfile= [ncfiles],[ncfilel] file to use for the shading and for the line
866	values=[vnamefs],[vnamefl]:[dimvals]:[dimxvn]:[dimyvn]:[colorbar],[colline]:[sminv],[smaxv]:[figt]:
867	[kindfig]:[reverse]:[mapv]:[close]
868	[vnamefs]: Name in the figure of the variable to be shaded
869	[vnamefl]: Name in the figure of the variable to be lined
870	[dimvals]: ',' list of [dimname]\|[value] telling at which dimension of the
871	variable a given value is required (-1, all the length)
872	[dimx/yvn]: name of the variables with the values of the final dimensions (x,y)
873	[colorbar]: name of the color bar
874	[colline]: name of the color for the line
875	[smin/axv]: minimum and maximum value for the shading
876	[figt]: title of the figure ('\|' for spaces)
877	[kindfig]: kind of figure
878	[reverse]: Transformation of the values
879	* 'transpose': reverse the axes (x-->y, y-->x)
880	* 'flip'@[x/y]: flip the axis x or y
881	[mapv]: map characteristics: [proj],[res]
882	see full documentation: http://matplotlib.org/basemap/
883	[proj]: projection
884	* 'cyl', cilindric
885	* 'lcc', lamvbert conformal
886	[res]: resolution:
887	* 'c', crude
888	* 'l', low
889	* 'i', intermediate
890	* 'h', high
891	* 'f', full
892	valules= 'rh:z\|-1,x\|-1:z\|-1,x\|-1:lat:pressure:BuPu:0.,100.:rh:pdf:flip@y:None'
893	varn= [varsn],[varnl] name of the variable to plot with shading and with line
894	"""
895
896	fname = 'draw_2D_shad_line'
897	if values == 'h':
898	print fname + '_____________________________________________________________'
899	print draw_2D_shad_line.__doc__
900	quit()
901
902	farguments = ['[vnamefs],[vnamefl]', '[dimvals]', '[dimxvn]', '[dimyvn]', \
903	'[colorbar],[colline]', '[sminv],[smaxv]', '[figt]', '[kindfig]', '[reverse]', \
904	'[mapv]', '[close]']
905	drw.check_arguments(fname,11,values,':',farguments)
906
907	vnamesfig = values.split(':')[0].split(',')[0]
908	dimvals= values.split(':')[1].replace('\|',':')
909	vdimxn = values.split(':')[2]
910	vdimyn = values.split(':')[3]
911	colbarn = values.split(':')[4].split(',')[0]
912	shadminmax = values.split(':')[5]
913	figtitle = values.split(':')[6].replace('\|',' ')
914	figkind = values.split(':')[7]
915	revals = values.split(':')[8]
916	mapvalue = values.split(':')[9]
917	# varn = values.split(':')[10]
918
919	ncfiles = ncfile.split(',')[0]
920
921	if not os.path.isfile(ncfiles):
922	print errormsg
923	print ' ' + fname + ': shading file "' + ncfiles + '" does not exist !!'
924	quit(-1)
925
926	objsf = NetCDFFile(ncfiles, 'r')
927
928	varns = varn.split(',')[0]
929
930	if not objsf.variables.has_key(varns):
931	print errormsg
932	print ' ' + fname + ': shading file "' + ncfiles + \
933	'" does not have variable "' + varns + '" !!'
934	quit(-1)
935
936	# Variables' values
937	objvars = objsf.variables[varns]
938
939	valshad, dimsshad = drw.slice_variable(objvars, dimvals.replace(',','\|'))
940
941	# Dimensions names
942	## print fname + ' obj dimnames: ', objvars.dimensions, dimvals, len(dimvals.split(','))
943	## dimnamesv = []
944	## for idd in range(len(objvars.dimensions)):
945	## cutdim = False
946	## for idc in range(len(dimvals.split(','))):
947	## dimcutn = dimvals.split(',')[idc].split(':')[0]
948	## print objvars.dimensions[idd], dimcutn
949	## if objvars.dimensions[idd] == dimcutn:
950	## cutdim = True
951	## break
952	## if not cutdim: dimnamesv.append(objvars.dimensions[idd])
953	dimnamesv = [vdimyn, vdimxn]
954
955	varunits = objvars.getncattr('units')
956
957	if not objsf.variables.has_key(vdimxn):
958	print errormsg
959	print ' ' + fname + ': shading file "' + ncfiles + \
960	'" does not have dimension variable "' + vdimxn + '" !!'
961	quit(-1)
962	if not objsf.variables.has_key(vdimyn):
963	print errormsg
964	print ' ' + fname + ': shading file "' + ncfiles + \
965	'" does not have dimensino variable "' + vdimyn + '" !!'
966	quit(-1)
967
968	objdimx = objsf.variables[vdimxn]
969	objdimy = objsf.variables[vdimyn]
970	odimxu = objdimx.getncattr('units')
971	odimyu = objdimy.getncattr('units')
972
973	if len(objdimx.shape) <= 2:
974	# odimxv = objdimx[valshad.shape]
975	# odimyv = objdimy[valshad.shape]
976	odimxv = objdimx[:]
977	odimyv = objdimy[:]
978
979	elif len(objdimx.shape) == 3:
980	# dimcut = [0, slice(0,valshad.shape[0]), slice(0,valshad.shape[1])]
981	# odimxv = objdimx[tuple(dimcut)]
982	# odimyv = objdimy[tuple(dimcut)]
983	odimxv = objdimx[0,:]
984	odimyv = objdimy[0,:]
985	else:
986	print errormsg
987	print ' ' + fname + ': shape of dimension variable:', objdimx.shape, \
988	' not ready!!'
989	quit(-1)
990
991	shading_nx = np.zeros((2), dtype=np.float)
992	shading_nx[0] = np.float(shadminmax.split(',')[0])
993	shading_nx[1] = np.float(shadminmax.split(',')[1])
994
995	if mapvalue == 'None': mapvalue = None
996
997	# line plot
998	##
999	ncfilel = ncfile.split(',')[1]
1000	vnamelfig = values.split(':')[0].split(',')[1]
1001	varnl = varn.split(',')[1]
1002	colline = values.split(':')[4].split(',')[1]
1003
1004	objlf = NetCDFFile(ncfilel,'r')
1005	objlvar = objlf.variables[varnl]
1006
1007	linevals = objlvar[:]
1008	varlunits = objlvar.units
1009
1010	drw.plot_2D_shadow_line(valshad, linevals, vnamesfig, vnamelfig, odimxv, odimyv, \
1011	odimxu, odimyu, dimnamesv, colbarn, colline, shading_nx, varunits, varlunits, \
1012	figtitle, figkind, revals, mapvalue, True)
1013
1014	objsf.close()
1015	objlf.close()
1016
1017	return
1018
1019	def draw_2D_shad_line_time(ncfile, values, varn):
1020	""" plotting a fields with shading and a line with time values
1021	draw_2D_shad_line(ncfile, values, varn)
1022	ncfile= [ncfiles],[ncfilel] files to use to draw with shading and the line
1023	values= [vnamefs],[vanemefl]:[dimvals]:[dimxvn]:[dimyvn]:[colorbar]:[sminv],[smaxv]:[figt]:
1024	[kindfig]:[reverse]:[timevals]:[close]
1025	[vnamefs]: Name in the figure of the variable to be shaded
1026	[vnamefl]: Name in the figure of the variable to be lined
1027	[dimvals]: ',' list of [dimname]\|[value] telling at which dimension of the
1028	variable a given value is required (-1, all the length)
1029	[dimx/yvn]: name of the variables with the values of the final dimensions (x,y)
1030	[colorbar]: name of the color bar
1031	[smin/axv]: minimum and maximum value for the shading
1032	[figt]: title of the figure ('\|' for spaces)
1033	[kindfig]: kind of figure
1034	[reverse]: Transformation of the values
1035	* 'transpose': reverse the axes (x-->y, y-->x)
1036	* 'flip'@[x/y]: flip the axis x or y
1037	[timevals]: [timen]\|[units]\|[kind]\|[tfmt]\|[label]\|[timeaxis] time labels characteristics
1038	[timen]; name of the time variable
1039	[units]; units string according to CF conventions ([tunits] since
1040	[YYYY]-[MM]-[DD] [[HH]:[MI]:[SS]], '!' for spaces)
1041	[kind]; kind of output
1042	'Nval': according to a given number of values as 'Nval',[Nval]
1043	'exct': according to an exact time unit as 'exct',[tunit];
1044	tunit= [Nunits],[tu]; [tu]= 'c': centuries, 'y': year, 'm': month,
1045	'w': week, 'd': day, 'h': hour, 'i': minute, 's': second,
1046	'l': milisecond
1047	[tfmt]; desired format
1048	[label]; label at the graph ('!' for spaces)
1049	[close]: should figure be closed (finished)
1050	values='dtcon,prc:Time\|-1,bottom_top\|-1:presmean:time:seismic:-3.e-6,3.e-6:monthly\|'
1051	'dtcon:pdf:transpose:time\|hours!since!1949-12-01\|exct,2,d\|%d\|date!([DD])\|x:True
1052	varn= [varsn].[varln] name of the variable to plot with shading and to plot with line
1053	"""
1054	fname = 'draw_2D_shad_line_time'
1055	if values == 'h':
1056	print fname + '_____________________________________________________________'
1057	print draw_2D_shad__line_time.__doc__
1058	quit()
1059
1060	farguments = ['[vnamefs],[vanemefl]', '[dimvals]', '[dimxvn]', '[dimyvn]', \
1061	'[colorbar]', '[sminv],[smaxv]', '[figt]', '[kindfig]', '[reverse]', \
1062	'[timevals]', '[close]']
1063	drw.check_arguments(fname,11,values,':',farguments)
1064
1065	vnamesfig = values.split(':')[0].split(',')[0]
1066	dimvals= values.split(':')[1].replace('\|',':')
1067	vdimxn = values.split(':')[2]
1068	vdimyn = values.split(':')[3]
1069	colbarn = values.split(':')[4]
1070	shadminmax = values.split(':')[5]
1071	figtitle = values.split(':')[6].replace('\|',' ')
1072	figkind = values.split(':')[7]
1073	revals = values.split(':')[8]
1074	timevals = values.split(':')[9]
1075	close = values.split(':')[10]
1076
1077	ncfiles = ncfile.split(',')[0]
1078
1079	if not os.path.isfile(ncfiles):
1080	print errormsg
1081	print ' ' + fname + ': shading file "' + ncfiles + '" does not exist !!'
1082	quit(-1)
1083
1084	objsf = NetCDFFile(ncfiles, 'r')
1085
1086	varns = varn.split(',')[0]
1087
1088	if not objsf.variables.has_key(varns):
1089	print errormsg
1090	print ' ' + fname + ': shading file "' + ncfiles + \
1091	'" does not have variable "' + varns + '" !!'
1092	quit(-1)
1093
1094	# Variables' values
1095	objvars = objsf.variables[varns]
1096
1097	valshad, dimsshad = drw.slice_variable(objvars, dimvals.replace(',','\|'))
1098
1099	dimnamesv = [vdimyn, vdimxn]
1100
1101	varunits = objvars.getncattr('units')
1102
1103	if not objsf.variables.has_key(vdimxn):
1104	print errormsg
1105	print ' ' + fname + ': shading file "' + ncfiles + \
1106	'" does not have dimension variable "' + vdimxn + '" !!'
1107	quit(-1)
1108	if not objsf.variables.has_key(vdimyn):
1109	print errormsg
1110	print ' ' + fname + ': shading file "' + ncfiles + \
1111	'" does not have dimensino variable "' + vdimyn + '" !!'
1112	quit(-1)
1113
1114	objdimx = objsf.variables[vdimxn]
1115	objdimy = objsf.variables[vdimyn]
1116	odimxu = objdimx.getncattr('units')
1117	odimyu = objdimy.getncattr('units')
1118
1119	if len(objdimx.shape) <= 2:
1120	odimxv = objdimx[:]
1121	odimyv = objdimy[:]
1122
1123	elif len(objdimx.shape) == 3:
1124	odimxv = objdimx[0,:]
1125	odimyv = objdimy[0,:]
1126	else:
1127	print errormsg
1128	print ' ' + fname + ': shape of dimension variable:', objdimx.shape, \
1129	' not ready!!'
1130	quit(-1)
1131
1132	timename = timevals.split('\|')[0]
1133	timeunit = timevals.split('\|')[1].replace('!',' ')
1134	timekind = timevals.split('\|')[2]
1135	timefmt = timevals.split('\|')[3]
1136	timelabel = timevals.split('\|')[4].replace('!',' ')
1137
1138	if vdimxn == timename:
1139	odimxv = objsf.variables[vdimxn][:]
1140	odimxu = timelabel
1141	timeaxis = 'x'
1142	odimyv = objsf.variables[vdimyn]
1143	odimyu = odimyv.getncattr('units')
1144	timepos, timelabels = drw.CFtimes_plot(odimxv, timeunit, timekind, timefmt)
1145	elif vdimyn == timename:
1146	odimyv = objsf.variables[vdimyn][:]
1147	odimyu = timelabel
1148	timeaxis = 'y'
1149	odimxv = objsf.variables[vdimxn]
1150	odimxu = odimxv.getncattr('units')
1151	timepos, timelabels = drw.CFtimes_plot(odimyv, timeunit, timekind, timefmt)
1152	else:
1153	print errormsg
1154	print ' ' + fname + ": time variable '" + timename + "' not found!!"
1155	quit(-1)
1156
1157	shading_nx = np.zeros((2), dtype=np.float)
1158	shading_nx[0] = np.float(shadminmax.split(',')[0])
1159	shading_nx[1] = np.float(shadminmax.split(',')[1])
1160
1161	closeval = drw.Str_Bool(close)
1162
1163	drw.plot_2D_shadow_time(valshad, vnamesfig, odimxv, odimyv, odimxu, odimyu, \
1164	dimnamesv, colbarn, shading_nx, varunits, figtitle, figkind, revals, timeaxis, \
1165	timepos, timelabels, False)
1166
1167	# Line values
1168	##
1169	ncfilel = ncfile.split(',')[1]
1170
1171	vnamelfig = values.split(':')[0].split(',')[1]
1172	varnl = varn.split(',')[1]
1173
1174	objlf = NetCDFFile(ncfilel,'r')
1175	objlvar = objlf.variables[varnl]
1176
1177	linevals = objlvar[:]
1178	if reva0 == 'tranpose':
1179	plt.plot (linevals, odimxv, '-', color='k')
1180	else:
1181	plt.plot (odimxv, linevals, '-', color='k')
1182
1183	objsf.close()
1184	objsl.close()
1185
1186	return
1187
1188	def draw_barbs(ncfile, values, varns):
1189	""" Function to plot wind barbs
1190	values= [dimname]\|[vardimname]\|[value]:[vecvals]:[windlabs]:[mapvalues]:
1191	[gtit]:[kindfig]:[figuren]
1192	'X/Y/Z/T'\|[dimname]\|[vardimname]\|[value]: ',', list for each basic dimension '\|' separated of:
1193	[dimname]: name of the dimension in the file
1194	[vardimname]: name of the variable with the values for the dimension in the file
1195	[value]: which value of the given dimension (-1, all; [ibeg]@[iend], i-range beginning, end)
1196	No value takes all the range of the dimension
1197	[vecvals]= [frequency],[color],[length]
1198	[frequency]: [xfreq]@[yfreq] frequency of values allong each axis ('None', all grid points;
1199	'auto', computed automatically to have 20 vectors along each axis)
1200	[color]: color of the vectors ('auto', for 'red')
1201	[length]: length of the wind barbs ('auto', for 9)
1202	[windlabs]= [windname],[windunits]
1203	[windname]: name of the wind variable in the graph
1204	[windunits]: units of the wind variable in the graph ('None', for the value in the file)
1205	[mapvalues]= map characteristics: [proj],[res]
1206	see full documentation: http://matplotlib.org/basemap/
1207	[proj]: projection
1208	* 'cyl', cilindric
1209	* 'lcc', lambert conformal
1210	[res]: resolution:
1211	* 'c', crude
1212	* 'l', low
1213	* 'i', intermediate
1214	* 'h', high
1215	* 'f', full
1216	gtit= title of the graph ('\|', for spaces)
1217	kindfig= kind of figure
1218	figuren= name of the figure
1219	ncfile= file to use
1220	varns= [uwind],[ywind] ',' list of the name of the variables with the u-wind,y-wind component
1221	"""
1222	fname = 'draw_barbs'
1223
1224	if values == 'h':
1225	print fname + '_____________________________________________________________'
1226	print draw_barbs.__doc__
1227	quit()
1228
1229	expectargs = '[X/Y/Z/T]\|[dimname]\|[vardimname]\|[value]:[vecvals]:[windlabs]:' + \
1230	'[mapvalues]:[gtit]:[kindfig]:[figuren]'
1231
1232	drw.check_arguments(fname,len(expectargs.split(':')),values,':', \
1233	expectargs.split(':'))
1234
1235	dimvals = values.split(':')[0]
1236	vecvals = values.split(':')[1]
1237	windlabels = values.split(':')[2]
1238	mapvalues = values.split(':')[3]
1239	gtit = values.split(':')[4]
1240	kindfig = values.split(':')[5]
1241	figuren = values.split(':')[6]
1242
1243	of = NetCDFFile(ncfile,'r')
1244
1245	dims = {}
1246	for dimv in dimvals.split(','):
1247	dns = dimv.split('\|')
1248	dims[dns[0]] = [dns[1], dns[2], dns[3]]
1249
1250	varNs = []
1251	for dn in dims.keys():
1252	if dn == 'X':
1253	varNs.append(dims[dn][1])
1254	dimx = len(of.dimensions[dims[dn][0]])
1255	elif dn == 'Y':
1256	varNs.append(dims[dn][1])
1257	dimy = len(of.dimensions[dims[dn][0]])
1258
1259	ivar = 0
1260	for wvar in varns.split(','):
1261	if not drw.searchInlist(of.variables.keys(), wvar):
1262	print errormsg
1263	print ' ' + fname + ": file does not have variable '" + wvar + "' !!"
1264	quit(-1)
1265	if ivar == 0:
1266	varNs.append(wvar)
1267	else:
1268	varNs.append(wvar)
1269
1270	ivar = 0
1271	for varN in varNs:
1272	varslice = []
1273
1274	ovarN = of.variables[varN]
1275	vard = ovarN.dimensions
1276	for vdn in vard:
1277	found = False
1278	for dd in dims.keys():
1279	if dims[dd][0] == vdn:
1280	if dims[dd][2].find('@') != -1:
1281	rvals = dims[dd][2].split('@')
1282	varslice.append(slice(int(rvals[0]), int(rvals[1])))
1283	elif dims[dd][2] == '-1':
1284	varslice.append(slice(0,len(of.dimensions[dims[dd][0]])))
1285	else:
1286	varslice.append(int(dims[dd][2]))
1287
1288	found = True
1289	break
1290	if not found:
1291	varslice.append(slice(0,len(of.dimensions[dims[dd][0]])))
1292
1293	if varN == dims['X'][1]:
1294	lonvals0 = np.squeeze(ovarN[tuple(varslice)])
1295	elif varN == dims['Y'][1]:
1296	latvals0 = np.squeeze(ovarN[tuple(varslice)])
1297	elif ivar == 2:
1298	uwvals = np.squeeze(np.array(ovarN[tuple(varslice)]))
1299	elif ivar == 3:
1300	vwvals = np.squeeze(ovarN[tuple(varslice)])
1301
1302	ivar = ivar + 1
1303
1304	# print 'Final shapes:',lonvals0.shape,':',latvals0.shape,':',uwvals.shape,':',
1305	# vwvals.shape
1306
1307	if len(uwvals.shape) != 2 or len(vwvals.shape) != 2:
1308	print errormsg
1309	print ' ' + fname + ': wrong size of the wind fields! they must be ' + \
1310	'2-dimensional!'
1311	print ' u-winds shape:',uwvals.shape,'dims:',of.variables[varNs[2]]
1312	print ' v-winds shape:',vwvals.shape,'dims:',of.variables[varNs[3]]
1313	print ' provide more values for their dimensions!!'
1314	quit(-1)
1315
1316	if len(lonvals0.shape) == 1:
1317	lonvals, latvals = np.meshgrid(lonvals0, latvals0)
1318	else:
1319	lonvals = lonvals0
1320	latvals = latvals0
1321
1322	# Vecor values
1323	if vecvals.split(',')[0] == 'None':
1324	freqv = None
1325	else:
1326	freqv = vecvals.split(',')[0]
1327	colorv = vecvals.split(',')[1]
1328	lengthv = vecvals.split(',')[2]
1329
1330	# Vector labels
1331	windname = windlabels.split(',')[0]
1332	windunits = windlabels.split(',')[1]
1333
1334	drw.plot_barbs(lonvals, latvals, uwvals, vwvals, freqv, colorv, lengthv,
1335	windname, windunits, mapvalues, gtit, kindfig, figuren)
1336
1337	return
1338
1339	def draw_topo_geogrid(ncfile, values):
1340	""" plotting geo_em.d[nn].nc topography from WPS files
1341	draw_topo_geogrid(ncfile, values)
1342	ncfile= geo_em.d[nn].nc file to use
1343	values= [minTopo],[maxTopo]:[lonlatL]:[title]:[graphic_kind]:[mapvalues]
1344	[min/max]Topo: minimum and maximum values of topography to draw
1345	lonlatL: limits of longitudes and latitudes [lonmin, latmin, lonmax, latmax] or None
1346	title: title of the graph
1347	graphic_kind: kind of figure (jpg, pdf, png)
1348	mapvalues: map characteristics [proj],[res]
1349	see full documentation: http://matplotlib.org/basemap/
1350	[proj]: projection
1351	* 'cyl', cilindric
1352	* 'lcc', lambert conformal
1353	[res]: resolution:
1354	* 'c', crude
1355	* 'l', low
1356	* 'i', intermediate
1357	* 'h', high
1358	* 'f', full
1359	"""
1360	fname = 'draw_topo_geogrid'
1361
1362	if values == 'h':
1363	print fname + '_____________________________________________________________'
1364	print draw_topo_geogrid.__doc__
1365	quit()
1366
1367	expectargs = ['[minTopo]','[maxTopo]', '[lonlatL]', '[title]', '[graphic_kind]', \
1368	'[mapvalues]']
1369
1370	drw.check_arguments(fname,5,values,':',expectargs)
1371
1372	mintopo = np.float(values.split(':')[0].split(',')[0])
1373	maxtopo = np.float(values.split(':')[0].split(',')[1])
1374
1375	lonlatLS = values.split(':')[1]
1376	lonlatLv = lonlatLS.split(',')[0]
1377
1378	if lonlatLv == 'None':
1379	lonlatL = None
1380	else:
1381	lonlatL = np.zeros((4), dtype=np.float)
1382	lonlatL[0] = np.float(lonlatLS.split(',')[0])
1383	lonlatL[1] = np.float(lonlatLS.split(',')[1])
1384	lonlatL[2] = np.float(lonlatLS.split(',')[2])
1385	lonlatL[3] = np.float(lonlatLS.split(',')[3])
1386
1387	grtit = values.split(':')[2]
1388	kindfig = values.split(':')[3]
1389	mapvalues = values.split(':')[4]
1390
1391	if not os.path.isfile(ncfile):
1392	print errormsg
1393	print ' ' + fname + ': domain file "' + ncfile + '" does not exist !!'
1394	quit(-1)
1395
1396	objdomf = NetCDFFile(ncfile, 'r')
1397
1398	objhgt = objdomf.variables['HGT_M']
1399	objlon = objdomf.variables['XLONG_M']
1400	objlat = objdomf.variables['XLAT_M']
1401
1402	topography = objhgt[0,:,:]
1403
1404	drw.plot_topo_geogrid(topography, objlon, objlat, mintopo, maxtopo, lonlatL, \
1405	grtit, kindfig, mapvalues, True)
1406
1407	objdomf.close()
1408
1409	return
1410
1411	def draw_topo_geogrid_boxes(ncfiles, values):
1412	""" plotting different geo_em.d[nn].nc topography from WPS files
1413	draw_topo_geogrid_boxes(ncfile, values)
1414	ncfiles= ',' list of geo_em.d[nn].nc files to use (fisrt as topographyc reference)
1415	values= [minTopo],[maxTopo]:[lonlatL]:[title]:[graphic_kind]:[mapvalues]:[labels]:[legloc]
1416	[min/max]Topo: minimum and maximum values of topography to draw
1417	lonlatL: limits of longitudes and latitudes [lonmin, latmin, lonmax, latmax] or None
1418	title: title of the graph
1419	graphic_kind: kind of figure (jpg, pdf, png)
1420	mapvalues: map characteristics [proj],[res]
1421	see full documentation: http://matplotlib.org/basemap/
1422	[proj]: projection
1423	* 'cyl', cilindric
1424	* 'lcc', lambert conformal
1425	[res]: resolution:
1426	* 'c', crude
1427	* 'l', low
1428	* 'i', intermediate
1429	* 'h', high
1430	* 'f', full
1431	legloc= location of the legend (0, autmoatic)
1432	1: 'upper right', 2: 'upper left', 3: 'lower left', 4: 'lower right',
1433	5: 'right', 6: 'center left', 7: 'center right', 8: 'lower center',
1434	9: 'upper center', 10: 'center'
1435	labels= labels to write in the graph
1436	"""
1437	# import matplotlib as mpl
1438	# mpl.use('Agg')
1439	import matplotlib.pyplot as plt
1440
1441	fname = 'draw_topo_geogrid_boxes'
1442
1443	if values == 'h':
1444	print fname + '_____________________________________________________________'
1445	print draw_topo_geogrid_boxes.__doc__
1446	quit()
1447
1448	mintopo = np.float(values.split(':')[0].split(',')[0])
1449	maxtopo = np.float(values.split(':')[0].split(',')[1])
1450
1451	lonlatLS = values.split(':')[1]
1452	lonlatLv = lonlatLS.split(',')[0]
1453
1454	if lonlatLv == 'None':
1455	lonlatL = None
1456	else:
1457	lonlatL = np.zeros((4), dtype=np.float)
1458	lonlatL[0] = np.float(lonlatLS.split(',')[0])
1459	lonlatL[1] = np.float(lonlatLS.split(',')[1])
1460	lonlatL[2] = np.float(lonlatLS.split(',')[2])
1461	lonlatL[3] = np.float(lonlatLS.split(',')[3])
1462
1463	grtit = values.split(':')[2]
1464	kindfig = values.split(':')[3]
1465	mapvalues = values.split(':')[4]
1466	labels = values.split(':')[5]
1467	legloc = int(values.split(':')[6])
1468
1469	ncfile = ncfiles.split(',')[0]
1470	if not os.path.isfile(ncfile):
1471	print errormsg
1472	print ' ' + fname + ': domain file "' + ncfile + '" does not exist !!'
1473	quit(-1)
1474
1475	objdomf = NetCDFFile(ncfile, 'r')
1476
1477	objhgt = objdomf.variables['HGT_M']
1478	objlon0 = objdomf.variables['XLONG_M']
1479	objlat0 = objdomf.variables['XLAT_M']
1480
1481	topography = objhgt[0,:,:]
1482
1483	Nfiles = len(ncfiles.split(','))
1484	boxlabels = labels.split(',')
1485
1486	Xboxlines = []
1487	Yboxlines = []
1488
1489	for ifile in range(Nfiles):
1490	ncfile = ncfiles.split(',')[ifile]
1491	# print ifile, ncfile
1492	if not os.path.isfile(ncfile):
1493	print errormsg
1494	print ' ' + fname + ': domain file "' + ncfile + '" does not exist !!'
1495	quit(-1)
1496
1497	objdomfi = NetCDFFile(ncfile, 'r')
1498
1499	objlon = objdomfi.variables['XLONG_M']
1500	objlat = objdomfi.variables['XLAT_M']
1501
1502	dx = objlon.shape[2]
1503	dy = objlon.shape[1]
1504
1505	Xboxlines.append(objlon[0,0,:])
1506	Yboxlines.append(objlat[0,0,:])
1507	Xboxlines.append(objlon[0,dy-1,:])
1508	Yboxlines.append(objlat[0,dy-1,:])
1509	Xboxlines.append(objlon[0,:,0])
1510	Yboxlines.append(objlat[0,:,0])
1511	Xboxlines.append(objlon[0,:,dx-1])
1512	Yboxlines.append(objlat[0,:,dx-1])
1513
1514	objdomfi.close()
1515
1516	drw.plot_topo_geogrid_boxes(topography, Xboxlines, Yboxlines, boxlabels, \
1517	objlon0, objlat0, mintopo, maxtopo, lonlatL, grtit, kindfig, mapvalues, legloc,\
1518	True)
1519
1520	objdomf.close()
1521
1522	return
1523
1524	def movievalslice(origslice, dimmovien, framenum):
1525	""" Function to provide variable slice according to a geneation of a movie
1526	movievals(origslice, dimmovien, framenum)
1527	[origslice]= slice original as [dimname1]\|[val1],[...,[dimnameN]\|[valN]]
1528	([val] = -1, full length)
1529	[dimmovien]= name of the dimension to produce the movie
1530	[framenum]= value of the frame to substitue in [origslice] as
1531	[dimmovien]\|[framenum]
1532	>>> movievalslice('East_West\|-1,North_South\|-1,Time\|2','Time',0)
1533	East_West\|-1,North_South\|-1,Time\|0
1534	"""
1535
1536	fname = 'movievalslice'
1537
1538	if origslice == 'h':
1539	print fname + '_____________________________________________________________'
1540	print movievalslice.__doc__
1541	quit()
1542
1543	dims = origslice.split(',')
1544
1545	movieslice = ''
1546	idim = 0
1547
1548	for dimn in dims:
1549	dn = dimn.split('\|')[0]
1550	if dn == dimmovien:
1551	movieslice = movieslice + dn + '\|' + str(framenum)
1552	else:
1553	movieslice = movieslice + dimn
1554	if idim < len(dims)-1: movieslice = movieslice + ','
1555
1556	idim = idim + 1
1557
1558	return movieslice
1559
1560	class Capturing(list):
1561	""" Class to capture function output as a list
1562	from: http://stackoverflow.com/questions/16571150/how-to-capture-stdout-output-from-a-python-function-call
1563	"""
1564	# from cStringIO import StringIO
1565
1566	def __enter__(self):
1567	self._stdout = sys.stdout
1568	sys.stdout = self._stringio = StringIO()
1569	return self
1570	def __exit__(self, *args):
1571	self.extend(self._stringio.getvalue().splitlines())
1572	sys.stdout = self._stdout
1573
1574	def create_movie(netcdfile, values, variable):
1575	""" Function to create a movie assuming ImageMagick installed!
1576	values= [graph]#[movie_dimension]#[graph_values]
1577	[graph]: which graphic
1578	[movie_dimension]: [dimnmovie]@[dimvmovie]@[moviedelay]@[interval]
1579	[dimnmovie]; name of the dimension from which make the movie
1580	[dimvmovie]; name of the variable with the values of the dimension
1581	[moviedelay]; delay between frames
1582	[interval]; [beg]@[end]@[freq] or -1 (all)
1583	[graph_values]: values to generate the graphic
1584	netcdfile= netCDF file
1585	variable= variable to use (when applicable)
1586	"""
1587	fname = 'create_movie'
1588
1589	if values == 'h':
1590	print fname + '_____________________________________________________________'
1591	print create_movie.__doc__
1592	quit()
1593
1594	graph = values.split('#')[0]
1595	movie_dim = values.split('#')[1]
1596	graph_vals = values.split('#')[2]
1597
1598	ncobj = NetCDFFile(netcdfile, 'r')
1599
1600	# Movie dimension
1601	##
1602	dimnmovie = movie_dim.split('@')[0]
1603	dimvmovie = movie_dim.split('@')[1]
1604	moviedelay = movie_dim.split('@')[2]
1605	moviebeg = int(movie_dim.split('@')[3])
1606
1607	if not drw.searchInlist(ncobj.dimensions.keys(),dimnmovie):
1608	print errormsg
1609	print ' ' + fname + ": file '" + netcdfile + "' has not dimension '" + \
1610	dimnmovie + "' !!!"
1611	quit(-1)
1612
1613	objdmovie = ncobj.dimensions[dimnmovie]
1614	dmovie = len(objdmovie)
1615	if moviebeg != -1:
1616	moviend = int(movie_dim.split('@')[4])
1617	moviefreq = int(movie_dim.split('@')[5])
1618	else:
1619	moviebeg = 0
1620	moviend = dmovie
1621	moviefreq = 1
1622
1623	if dimvmovie == 'WRFTimes':
1624	objvdmovie = ncobj.variables['Times']
1625	vdmovieunits = ''
1626	valsdmovie = []
1627	for it in range(objvdmovie.shape[0]):
1628	valsdmovie.append(drw.datetimeStr_conversion(objvdmovie[it,:], \
1629	'WRFdatetime', 'Y/m/d H-M-S'))
1630	elif dimvmovie == 'CFtime':
1631	objvdmovie = ncobj.variables['time']
1632	vdmovieunits = ''
1633	print objvdmovie.units
1634	valsdmovie0 = drw.netCDFdatetime_realdatetime(objvdmovie.units, 'standard', \
1635	objvdmovie[:])
1636	valsdmovie = []
1637	for it in range(objvdmovie.shape[0]):
1638	valsdmovie.append(drw.datetimeStr_conversion(valsdmovie0[it,:], \
1639	'matYmdHMS', 'Y/m/d H-M-S'))
1640	else:
1641	if not drw.searchInlist(ncobj.variables.keys(),dimvmovie):
1642	print errormsg
1643	print ' ' + fname + ": file '" + netcdfile + "' has not variable '" + \
1644	dimvmovie + "' !!!"
1645	quit(-1)
1646	vdmovieunits = objvdmovie.getncattr('units')
1647	objvdmovie = ncobj.variables[dimvmovie]
1648	if len(objvdmovie.shape) == 1:
1649	vasldmovie = objvdmovie[:]
1650	else:
1651	print errormsg
1652	print ' ' + fname + ': shape', objvdmovie.shape, 'of variable with ' + \
1653	'dimension movie values not ready!!!'
1654	quit(-1)
1655
1656	ncobj.close()
1657	os.system('rm frame_*.png > /dev/null')
1658
1659	# graphic
1660	##
1661	if graph == 'draw_2D_shad':
1662	graphvals = graph_vals.split(':')
1663
1664	for iframe in range(moviebeg,moviend,moviefreq):
1665	iframeS = str(iframe).zfill(4)
1666
1667	drw.percendone((iframe-moviebeg)/moviefreq,(moviend-moviebeg)/moviefreq, \
1668	5, 'frames')
1669	titgraph = dimnmovie + '\|=\|' + str(valsdmovie[iframe]) + '\|' + \
1670	vdmovieunits
1671
1672	graphvals[1] = movievalslice(graphvals[1],dimnmovie,iframe)
1673	graphvals[6] = titgraph
1674	graphvals[7] = 'png'
1675
1676	graphv = drw.numVector_String(graphvals, ":")
1677
1678	with Capturing() as output:
1679	draw_2D_shad(netcdfile, graphv, variable)
1680
1681	os.system('mv 2Dfields_shadow.png frame_' + iframeS + '.png')
1682	else:
1683	print errormsg
1684	print ' ' + fname + ": graphic '" + graph + "' not defined !!!"
1685	quit(-1)
1686
1687	os.system('convert -delay ' + moviedelay + ' -loop 0 frame_*.png create_movie.gif')
1688
1689	print "Succesfuly creation of movie file 'create_movie.gif' !!!"
1690
1691	return
1692
1693	def draw_lines(ncfilens, values, varname):
1694	""" Function to draw different lines at the same time from different files
1695	draw_lines(ncfilens, values, varname):
1696	ncfilens= [filen] ',' separated list of netCDF files
1697	values= [dimvname]:[valuesaxis]:[dimtit]:[leglabels]:[vtit]:[title]:[locleg]:[graphk]
1698	[dimvname]: ',' list of names of the variable with he values of the common dimension
1699	[valuesaxis]: which axis will be used for the values ('x', or 'y')
1700	[dimtit]: title for the common dimension
1701	[leglabels]: ',' separated list of names for the legend
1702	[vartit]: name of the variable in the graph
1703	[title]: title of the plot ('\|' for spaces)
1704	[locleg]: location of the legend (0, autmoatic)
1705	1: 'upper right', 2: 'upper left', 3: 'lower left', 4: 'lower right',
1706	5: 'right', 6: 'center left', 7: 'center right', 8: 'lower center',
1707	9: 'upper center', 10: 'center'
1708	[graphk]: kind of the graphic
1709	varname= variable to plot
1710	values= 'XLAT:x:latitude:32x32:$wss^{*}$:wss Taylor's turbulence term:pdf'
1711	"""
1712
1713	fname = 'draw_lines'
1714
1715	if values == 'h':
1716	print fname + '_____________________________________________________________'
1717	print draw_lines.__doc__
1718	quit()
1719
1720	expectargs = '[dimvname]:[valuesaxis]:[dimtit]:[leglabels]:[vtit]:[title]:[locleg]:[graphk]'
1721	drw.check_arguments(fname,len(expectargs.split(':')),values,':',expectargs)
1722
1723	ncfiles = ncfilens.split(',')
1724	dimvnames = values.split(':')[0]
1725	valuesaxis = values.split(':')[1]
1726	dimtit = values.split(':')[2]
1727	leglabels = values.split(':')[3].replace('_','\_')
1728	vartit = values.split(':')[4]
1729	title = values.split(':')[5].replace('\|',' ')
1730	locleg = values.split(':')[6]
1731	graphk = values.split(':')[7]
1732
1733	Nfiles = len(ncfiles)
1734
1735	# Getting trajectotries
1736	##
1737
1738	varvalues = []
1739	dimvalues = []
1740
1741	print ' ' + fname
1742	ifn = 0
1743	for ifile in ncfiles:
1744	filen = ifile.split('@')[0]
1745
1746	print ' filen:',filen
1747
1748	if not os.path.isfile(filen):
1749	print errormsg
1750	print ' ' + fname + ": netCDF file '" + filen + "' does not exist !!"
1751	quit(-1)
1752
1753	objfile = NetCDFFile(filen, 'r')
1754
1755	if dimvnames.find(',') != -1:
1756	dimvname = dimvnames.split(',')
1757	else:
1758	dimvname = [dimvnames]
1759
1760	found = False
1761	for dvn in dimvname:
1762	if objfile.variables.has_key(dvn):
1763	found = True
1764	break
1765
1766	if not found:
1767	print errormsg
1768	print ' ' + fname + ": netCDF file '" + filen + \
1769	"' does not have variables '" + dimvnames + "' !!"
1770	quit(-1)
1771
1772	if not objfile.variables.has_key(varname):
1773	print errormsg
1774	print ' ' + fname + ": netCDF file '" + filen + \
1775	"' does not have variable '" + varname + "' !!"
1776	quit(-1)
1777
1778	vvobj = objfile.variables[varname]
1779	if len(vvobj.shape) != 1:
1780	print errormsg
1781	print ' ' + fname + ': wrong shape:',vvobj.shape," of variable '" + \
1782	varname + "' !!"
1783	quit(-1)
1784
1785	for dimvn in dimvname:
1786	if drw.searchInlist(objfile.variables, dimvn):
1787	vdobj = objfile.variables[dimvn]
1788	if len(vdobj.shape) != 1:
1789	print errormsg
1790	print ' ' + fname + ': wrong shape:',vdobj.shape, \
1791	" of variable '" + dimvn + "' !!"
1792	quit(-1)
1793	break
1794
1795	varvalues.append(vvobj[:])
1796	dimvalues.append(vdobj[:])
1797
1798	if ifn == 0:
1799	varunits = vvobj.units
1800
1801	objfile.close()
1802
1803	ifn = ifn + 1
1804
1805	drw.plot_lines(dimvalues, varvalues, valuesaxis, dimtit, leglabels.split(','), \
1806	vartit, varunits, title, locleg, graphk)
1807
1808	return
1809
1810	def draw_lines_time(ncfilens, values, varname0):
1811	""" Function to draw different lines at the same time from different files with times
1812	draw_lines_time(ncfilens, values, varname):
1813	ncfilens= [filen] ',' separated list of netCDF files
1814	values= [dimvname];[valuesaxis];[dimtit];[leglabels];[vtit];[title];[timevals];[locleg];
1815	[graphk];[collines];[points];[period]
1816	[dimvname]: ',' list of names of the variables with he values of the common dimension
1817	[valuesaxis]: which axis will be used for the values ('x', or 'y')
1818	[dimtit]: title for the common dimension ('\|' for spaces)
1819	[leglabels]: ',' separated list of names for the legend ('None', no legend)
1820	[vartit]: name of the variable in the graph
1821	[title]: title of the plot ('\|' for spaces)
1822	[timevals]: [timen]\|[units]\|[kind]\|[tfmt] time labels characteristics
1823	[timen]; name of the time variable
1824	[units]; units string according to CF conventions ([tunits] since
1825	[YYYY]-[MM]-[DD] [[HH]:[MI]:[SS]], '!' for spaces)
1826	[kind]; kind of output
1827	'Nval': according to a given number of values as 'Nval',[Nval]
1828	'exct': according to an exact time unit as 'exct',[tunit];
1829	tunit= [Nunits],[tu]; [tu]= 'c': centuries, 'y': year, 'm': month,
1830	'w': week, 'd': day, 'h': hour, 'i': minute, 's': second,
1831	'l': milisecond
1832	[tfmt]; desired format
1833	[locleg]: location of the legend (0, autmoatic)
1834	1: 'upper right', 2: 'upper left', 3: 'lower left', 4: 'lower right',
1835	5: 'right', 6: 'center left', 7: 'center right', 8: 'lower center',
1836	9: 'upper center', 10: 'center'
1837	[graphk]: kind of the graphic
1838	[collines]: ',' list of colors for the lines, None for automatic, single
1839	value all the same
1840	[points]: ',' list of type of points for the lines, None for automatic, single
1841	value all the same
1842	[period]: which period to plot
1843	'-1': all period
1844	[beg],[end]: beginning and end of the period in reference time-units of first file
1845	varname0= ',' list of variable names to plot (assuming only 1 variable per file)
1846	values= 'time;y;time ([DD]${[HH]}$);32x32;$wss^{*}$;wss Taylor's turbulence term;time\|hours!since!1949-12-01_00:00:00;exct,12,h\|%d$^{%H}$;2;pdf'
1847	"""
1848
1849	fname = 'draw_lines_time'
1850
1851	if values == 'h':
1852	print fname + '_____________________________________________________________'
1853	print draw_lines_time.__doc__
1854	quit()
1855
1856	expectargs = '[dimvname];[valuesaxis];[dimtit];[leglabels];[vtit];[title];'
1857	expectargs = expectargs + '[timevals];[locleg];[graphk];[collines];[points];'
1858	expectargs = expectargs + '[period]'
1859	drw.check_arguments(fname,len(expectargs.split(';')),values,';',expectargs)
1860
1861	ncfiles = ncfilens.split(',')
1862	dimvname0 = values.split(';')[0]
1863	valuesaxis = values.split(';')[1]
1864	dimtit = values.split(';')[2].replace('\|',' ')
1865	leglabels = values.split(';')[3].replace('_','\_')
1866	vartit = values.split(';')[4]
1867	title = values.split(';')[5].replace('\|',' ')
1868	timevals = values.split(';')[6]
1869	locleg = int(values.split(';')[7])
1870	graphk = values.split(';')[8]
1871	collines0 = values.split(';')[9]
1872	points0 = values.split(';')[10]
1873	period = values.split(';')[11]
1874
1875	Nfiles = len(ncfiles)
1876
1877	# Multiple variable-dimension names?
1878	if dimvname0.find(',') != -1:
1879	dimvname = dimvname0.split(',')
1880	else:
1881	dimvname = [dimvname0]
1882
1883	# Multiple variables?
1884	if varname0.find(',') != -1:
1885	varname = varname0.split(',')
1886	else:
1887	varname = [varname0]
1888
1889	# Multiple color names?
1890	if collines0.find(',') != -1:
1891	collines = collines0.split(',')
1892	elif collines == 'None':
1893	collines = None
1894	else:
1895	collines = []
1896	for ip in range(Nfiles):
1897	collines.append(collines0)
1898
1899	# Multiple point types?
1900	if points0.find(',') != -1:
1901	points = points0.split(',')
1902	for ip in range(len(points)):
1903	points[ip] = points[ip] + '-'
1904	elif points0 == 'None':
1905	points = None
1906	else:
1907	points = []
1908	for ip in range(Nfiles):
1909	points.append(points0+'-')
1910
1911	# Getting values
1912	##
1913	varvalues = []
1914	dimvalues = []
1915	timvalues = []
1916	timvals0 = timvalues
1917
1918	print ' ' + fname
1919	ifn = 0
1920	mintval = 1.e20
1921	maxtval = -1.e20
1922
1923	for ifile in ncfiles:
1924	filen = ifile.split('@')[0]
1925
1926	print ' filen:',filen
1927
1928	if not os.path.isfile(filen):
1929	print errormsg
1930	print ' ' + fname + ": netCDF file '" + filen + "' does not exist !!"
1931	quit(-1)
1932
1933	objfile = NetCDFFile(filen, 'r')
1934
1935	founddvar = False
1936	for dvar in dimvname:
1937	if objfile.variables.has_key(dvar):
1938	founddvar = True
1939	vdobj = objfile.variables[dvar]
1940	if len(vdobj.shape) != 1:
1941	print errormsg
1942	print ' ' + fname + ': wrong shape:',vdobj.shape," of " + \
1943	"variable '" + dvar + "' !!"
1944	quit(-1)
1945	break
1946	if not founddvar:
1947	print errormsg
1948	print ' ' + fname + ": netCDF file '" + filen + \
1949	"' has any variable '", dimvname, "' !!"
1950	quit(-1)
1951
1952	foundvar = False
1953	for var in varname:
1954	if objfile.variables.has_key(var):
1955	foundvar = True
1956	vvobj = objfile.variables[var]
1957	if len(vvobj.shape) != 1:
1958	print errormsg
1959	print ' ' + fname + ': wrong shape:',vvobj.shape," of " + \
1960	"variable '" + var + "' !!"
1961	quit(-1)
1962
1963	break
1964	if not foundvar:
1965	print errormsg
1966	print ' ' + fname + ": netCDF file '" + filen + \
1967	"' has any variable '", varname, "' !!"
1968	quit(-1)
1969
1970
1971	# Getting period
1972	dimt = len(vdobj[:])
1973
1974	if period == '-1':
1975	varvalues.append(vvobj[:])
1976	dimvalues.append(vdobj[:])
1977	mindvals = np.min(vdobj[:])
1978	maxdvals = np.max(vdobj[:])
1979	else:
1980	ibeg=-1
1981	iend=-1
1982	tbeg = np.float(period.split(',')[0])
1983	tend = np.float(period.split(',')[1])
1984
1985	for it in range(dimt-1):
1986	if vdobj[it] <= tbeg and vdobj[it+1] > tbeg : ibeg = it
1987	if vdobj[it] <= tend and vdobj[it+1] > tend: iend = it + 1
1988	if ibeg != -1 and iend != -1: break
1989
1990	if ibeg == -1 and iend == -1:
1991	print errormsg
1992	print ' ' + fname + ': Period:',tbeg,',',tend,'not found!!'
1993	print ' ibeg:',ibeg,'iend:',iend
1994	print ' period in file:',np.min(vdobj[:]), np.max(vdobj[:])
1995	quit(-1)
1996	elif iend == -1:
1997	iend = dimt
1998	print warnmsg
1999	print ' ' + fname + ': end of Period:',tbeg,',',tend,'not found!!'
2000	print ' getting last available time instead'
2001	print ' ibeg:',ibeg,'iend:',iend
2002	print ' period in file:',np.min(vdobj[:]), np.max(vdobj[:])
2003	elif ibeg == -1:
2004	ibeg = 0
2005	print warnmsg
2006	print ' ' + fname + ': beginning of Period:',tbeg,',',tend, \
2007	'not found!!'
2008	print ' getting first available time instead'
2009	print ' ibeg:',ibeg,'iend:',iend
2010	print ' period in file:',np.min(vdobj[:]), np.max(vdobj[:])
2011
2012	varvalues.append(vvobj[ibeg:iend])
2013	dimvalues.append(vdobj[ibeg:iend])
2014	mindvals = np.min(vdobj[ibeg:iend])
2015	maxdvals = np.max(vdobj[ibeg:iend])
2016
2017	dimt = iend - ibeg
2018
2019	if mindvals < mintval: mintval = mindvals
2020	if maxdvals > maxtval: maxtval = maxdvals
2021
2022	if ifn == 0:
2023	varunits = drw.units_lunits(vvobj.units)
2024
2025	objfile.close()
2026
2027	ifn = ifn + 1
2028
2029	# Times
2030	timename = timevals.split('\|')[0]
2031	timeunit = timevals.split('\|')[1].replace('!',' ')
2032	timekind = timevals.split('\|')[2]
2033	timefmt = timevals.split('\|')[3]
2034
2035	dtvals = (maxtval - mintval)/dimt
2036	tvals = np.arange(mintval, maxtval, dtvals/2.)
2037
2038	timepos, timelabels = drw.CFtimes_plot(tvals, timeunit, timekind, timefmt)
2039
2040	if leglabels != 'None':
2041	legvals = leglabels.split(',')
2042	else:
2043	legvals = None
2044
2045	drw.plot_lines_time(dimvalues, varvalues, valuesaxis, dimtit, legvals, vartit, \
2046	varunits, timepos, timelabels, title, locleg, graphk, collines, points)
2047
2048	return
2049
2050	def draw_Neighbourghood_evol(filen, values, variable):
2051	""" Function to draw the temporal evolution of a neighbourghood around a point
2052	draw_Neighbourghood_evol(filen, values, variable)
2053	filen= netCDF file name
2054	values= [gvarname]:[dimsval]:[neigdims]:[Nneig]:[Ncol]:[timetits]:[tkinds]:
2055	[timefmts]:[gtitle]:[shadxtrms]:[cbar]:[gkind]:[ofile]
2056	[dimsval]: [dimn1]\|[val1]\|[dimv1],...,[dimnN]\|[valN]\|[dimvN] dimension names, values to get
2057	(-1, for all; no name/value pair given full length) and variable with values of the dimension
2058	NOTE: when dimsval[X,Y] == neigdims[X,Y], valX,valY --> valX,valY-Nneig/2, valX,valY+Nneig/2
2059	[neigdims]: [dimnX],[dimnY] dimensions mnames along which the neigbourghood should be defined
2060	[Nneig]: Number of grid points of the full side of the box (odd value)
2061	[Ncol]: Number of columns ('auto': square final plot)
2062	[gvarname]: name of the variable to appear in the graph
2063	[timetits]: [titX],[titY] titles of the axes ('\|' for spaces)
2064	[tkinds]: [tkindX]\|[tkindY] kinds of time to appear in the graph
2065	'Nval': according to a given number of values as 'Nval',[Nval]
2066	'exct': according to an exact time unit as 'exct',[tunit];
2067	tunit= [Nunits],[tu]; [tu]= 'c': centuries, 'y': year, 'm': month,
2068	'w': week, 'd': day, 'h': hour, 'i': minute, 's': second,
2069	'l': milisecond
2070	[timefmts]: [tfmtX],[tfmtY] format of the time labels
2071	[gtitle]: title of the graphic ('\|' for spaces)
2072	[shadxtrms]: Extremes for the shading
2073	[cbar]: colorbar to use
2074	[gkind]: kind of graphical output
2075	[ofile]: True/False whether the netcdf with data should be created or not
2076	variable= name of the variable
2077	values = 'q:Time\|-1\|Times,bottom_top\|6\|ZNU,south_north\|3\|XLAT,west_east\|26\|XLONG:south_north,west_east:5:auto:time\|($[DD]^{[HH]}$),time\|($[DD]^{[HH]}$):exct,2,h\|exct,1,d:$%d^{%H}$,$%d^{%H}$:5\|pts\|neighbourghood\|temporal\|evolution:0.0,0.004:BuPu:pdf:True'
2078	"""
2079
2080	fname = 'draw_Neighbourghood_evol'
2081
2082	if values == 'h':
2083	print fname + '_____________________________________________________________'
2084	print draw_Neighbourghood_evol.__doc__
2085	quit()
2086
2087	expectargs = ['[gvarname]', '[dimsval]', '[neigdims]', '[Nneig]', '[Ncol]', \
2088	'[timetits]', '[tkinds]', '[timefmts]', '[gtitle]', '[shadxtrms]', '[cbar]', \
2089	'[gkind]', '[ofile]']
2090
2091	drw.check_arguments(fname,len(expectargs),values,':',expectargs)
2092
2093	gvarname = values.split(':')[0]
2094	dimsval = values.split(':')[1].split(',')
2095	neigdims = values.split(':')[2].split(',')
2096	Nneig = int(values.split(':')[3])
2097	Ncol0 = values.split(':')[4]
2098	timetits = values.split(':')[5].split(',')
2099	timekinds = values.split(':')[6].split('\|')
2100	timefmts = values.split(':')[7].split(',')
2101	gtitle = values.split(':')[8].replace('\|',' ')
2102	shadxtrms = values.split(':')[9].split(',')
2103	cbar = values.split(':')[10]
2104	gkind = values.split(':')[11]
2105	ofile = values.split(':')[12]
2106
2107	if Ncol0 != 'auto':
2108	Ncol = int(Ncol0)
2109	else:
2110	Ncol = Ncol0
2111
2112	timetits[0] = timetits[0].replace('\|',' ')
2113	timetits[1] = timetits[1].replace('\|',' ')
2114
2115	if np.mod(Nneig,2) == 0:
2116	print errormsg
2117	print ' ' + fname + ": an odd value for 'Nneig':",Nneig,'is required !!!'
2118	quit(-1)
2119
2120	Nneig2 = int(Nneig/2)
2121
2122	# Values to slice the variable
2123	dimvslice = {}
2124	dimvvalues = {}
2125	for dimvs in dimsval:
2126	dimn = dimvs.split('\|')[0]
2127	dimv = int(dimvs.split('\|')[1])
2128	dimnv = dimvs.split('\|')[2]
2129
2130	dimvvalues[dimn] = dimnv
2131	dimvslice[dimn] = dimv
2132
2133	ncobj = NetCDFFile(filen, 'r')
2134
2135	varobj = ncobj.variables[variable]
2136
2137	slicevar = []
2138	newdimn = []
2139	newdimsvar = {}
2140
2141	for dimn in varobj.dimensions:
2142	if not drw.searchInlist(dimvslice.keys(), dimn):
2143	dimsize = len(ncobj.dimensions[dimn])
2144	slicevar.append(slice(0, dimsize+1))
2145	newdimn.append(dimn)
2146	newdimsvar[dimn] = dimseize
2147
2148	for dimslicen in dimvslice.keys():
2149	if dimn == dimslicen:
2150	if dimvslice[dimn] != -1:
2151	if drw.searchInlist(neigdims, dimn):
2152	slicevar.append(slice(dimvslice[dimn]-Nneig2, \
2153	dimvslice[dimn]+Nneig2+1))
2154	newdimn.append(dimn)
2155	newdimsvar[dimn] = Nneig
2156	break
2157	else:
2158	slicevar.append(slice(dimvslice[dimn], dimvslice[dimn]+1))
2159	break
2160	else:
2161	dimsize = len(ncobj.dimensions[dimn])
2162	slicevar.append(slice(0, dimsize+1))
2163	newdimn.append(dimn)
2164	newdimsvar[dimn] = dimsize
2165	break
2166
2167	varv = varobj[tuple(slicevar)]
2168
2169	if len(newdimn) != 3:
2170	print errormsg
2171	print ' ' + fname + ': sliced variable with shape=', varv.shape, \
2172	' must have three dimensions',len(varv.shape),'given !!'
2173	quit(-1)
2174
2175	newdims = []
2176	for nwdims in newdimn:
2177	newdims.append(newdimsvar[nwdims])
2178
2179	# The dimension which is not in the neighbourhood dimensions must be time!
2180	for dim1 in newdimn:
2181	if not drw.searchInlist(neigdims, dim1):
2182	dimt = newdimsvar[dim1]
2183	dimtime = dim1
2184
2185	if Ncol == 'auto':
2186	dimtsqx = int(np.sqrt(dimt)) + 1
2187	dimtsqy = int(np.sqrt(dimt)) + 1
2188	else:
2189	dimtsqx = int(Ncol)
2190	dimtsqy = dimt/dimtsqx + 1
2191
2192	neighbourghood = np.ones((dimtsqyNneig,dimtsqxNneig), dtype=np.float)*fillValue
2193
2194	for it in range(dimt):
2195	ity = int(it/dimtsqx)
2196	itx = it-ity*dimtsqx
2197
2198	itty = (dimtsqy - ity - 1)*Nneig + Nneig2
2199	ittx = itx*Nneig + Nneig2
2200
2201	neighbourghood[itty-Nneig2:itty+Nneig2+1,ittx-Nneig2:ittx+Nneig2+1]= \
2202	varv[it,::-1,:]
2203
2204	variablevals = drw.variables_values(variable)
2205	if drw.searchInlist(varobj.ncattrs(), 'units'):
2206	vunits = varobj.units
2207	else:
2208	vunits = variablevals[5]
2209
2210	# Time values at the X/Y axes
2211	if ncobj.variables[dimvvalues[dimtime]].dtype == '\|S1':
2212	print ' ' + fname + ': WRF time variable!'
2213	refdate = '19491201000000'
2214	tunitsval = 'hours'
2215	dimtvalues = np.zeros((dimt), dtype=np.float)
2216	tvals = ncobj.variables[dimvvalues[dimtime]]
2217	yrref=refdate[0:4]
2218	monref=refdate[4:6]
2219	dayref=refdate[6:8]
2220	horref=refdate[8:10]
2221	minref=refdate[10:12]
2222	secref=refdate[12:14]
2223
2224	refdateS = yrref + '/' + monref + '/' + dayref + '_' + horref + ':' + \
2225	minref + ':' + secref
2226	tunits = tunitsval + ' since ' + refdateS
2227	for it in range(dimt):
2228	wrfdates = drw.datetimeStr_conversion(tvals[it,:],'WRFdatetime', 'matYmdHMS')
2229	dimtvalues[it] = drw.realdatetime1_CFcompilant(wrfdates, refdate, tunitsval)
2230	else:
2231	dimtvalues = ncobj.variables[dimvvalues[dimtime]][:]
2232	tunits = ncobj.variables[newdimsvar[dimtime]].units
2233
2234	dimxv = dimtvalues[0:dimtsqx]
2235	dimyv = dimtvalues[0:dimt:dimtsqx]
2236
2237	dimn = ['time','time']
2238
2239	if ofile == 'True':
2240	ofilen = 'Neighbourghood_evol.nc'
2241	newnc = NetCDFFile(ofilen, 'w')
2242	# Dimensions
2243	newdim = newnc.createDimension('time',None)
2244	newdim = newnc.createDimension('y',dimtsqy*Nneig)
2245	newdim = newnc.createDimension('x',dimtsqx*Nneig)
2246	# Dimension values
2247	newvar = newnc.createVariable('time','f8',('time'))
2248	newvar[:] = np.arange(dimt)
2249	newattr = drw.basicvardef(newvar, 'time','time',tunits)
2250	# Neighbourhghood variable
2251	newvar = newnc.createVariable(variable + 'neigevol', 'f4', ('y','x'), \
2252	fill_value=fillValue)
2253	newvar[:] = neighbourghood
2254
2255	newnc.sync()
2256	newnc.close()
2257	print fname + ": Successfull generation of file '" + ofilen + "' !!"
2258
2259	# Time ticks
2260	timeposX, timelabelsX = drw.CFtimes_plot(dimxv, tunits, timekinds[0], timefmts[0])
2261	timeposY, timelabelsY = drw.CFtimes_plot(dimyv, tunits, timekinds[1], timefmts[1])
2262
2263	timepos = [timeposX[0:len(timeposX)], timeposY[len(timeposY):0:-1]]
2264	timelabels = [timelabelsX[0:len(timeposX)], timelabelsY[0:len(timeposY)]]
2265
2266	for i in range(2):
2267	if shadxtrms[i][0:1] != 'S':
2268	shadxtrms[i] = np.float(shadxtrms[i])
2269
2270	drw.plot_Neighbourghood_evol(neighbourghood, dimxv, dimyv, gvarname, timetits, \
2271	timepos, timelabels, cbar, Nneig, shadxtrms, vunits, gtitle, gkind, True)
2272
2273	def draw_points(filen, values):
2274	""" Function to plot a series of points
2275	[values]= [ptasciifile]:[gtit]:[mapvalues]:[kindfigure]:[pointcolor]:[pointlabels]:
2276	[locleg]:[figureko]:[figuren]
2277	[ptasciifile]:[file],[comchar],[collon],[collat],[lab]
2278	[file]: column ASCII file with the location of the points
2279	[comchar]: '\|' list of characters for commentaries
2280	[collon]: number of column with the longitude of the points
2281	[collat]: number of column with the latitude of the points
2282	[collab]: number of column with the labels of the points ('None', and will get
2283	the values from the [pointlabels] variable
2284	[gtit]: title of the figure ('\|' for spaces)
2285	[mapvalues]: drawing coastaline ([proj],[res]) or None
2286	[proj]: projection
2287	* 'cyl', cilindric
2288	* 'lcc', lambert conformal
2289	[res]: resolution:
2290	* 'c', crude
2291	* 'l', low
2292	* 'i', intermediate
2293	* 'h', high
2294	* 'f', full
2295	[kindfigure]: kind of figure
2296	'legend': only points in the map with the legend with the names
2297	'labelled',[txtsize],[txtcol]: points with the names and size, color of text
2298	[pointcolor]: color for the points ('auto' for "red")
2299	[pointlabels]: ',' of labels [only used if [collab]='None'] ('None' for no labels)
2300	[locleg]: location of the legend (0, autmoatic)
2301	1: 'upper right', 2: 'upper left', 3: 'lower left', 4: 'lower right',
2302	5: 'right', 6: 'center left', 7: 'center right', 8: 'lower center',
2303	9: 'upper center', 10: 'center'
2304	[figureko]: kind of the output file (pdf, png, ...)
2305	[figuren]: name of the figure
2306	[filen]= [ncfile],[lonvarn],[latvarn][,[varn],[dimvals],[vargn],[min],[max],[cbar],[varu]]
2307	[ncfile]: netCDF to use to geolocalize the points
2308	[lonvarn]: name of the variable with the longitudes
2309	[latvarn]: name of the variable with the latitudes
2310	[varn]: optional variable to add staff into the graph
2311	[dimval]: '@' list of [dimn]\|[dimval] to get the values for [varn]
2312	[dimn]: name of the dimension
2313	[dimval]: value of the dimension (no value all range)
2314	[vargn]: name of the variable in the graph
2315	[min]: minimum value for the extra variable
2316	[max]: maximum value for the extra variable
2317	[cbar]: color bar
2318	[varu]: units of the variable
2319	"""
2320	fname = 'draw_points'
2321
2322	if values == 'h':
2323	print fname + '_____________________________________________________________'
2324	print draw_points.__doc__
2325	quit()
2326
2327	expectargs = '[ptasciifile]:[gtit]:[mapvalues]:[kindfigure]:[pointcolor]:' + \
2328	'[pointlabels]:[locleg]:[figurek]:[figuren]'
2329
2330	drw.check_arguments(fname,len(expectargs.split(':')),values,':', \
2331	expectargs.split(':'))
2332
2333	ptasciifile = values.split(':')[0]
2334	gtit = values.split(':')[1]
2335	mapvalues = values.split(':')[2]
2336	kindfigure = values.split(':')[3]
2337	pointcolor = values.split(':')[4]
2338	pointlabels = values.split(':')[5]
2339	locleg = int(values.split(':')[6])
2340	figureko = values.split(':')[7]
2341	figuren = values.split(':')[8]
2342
2343	# Getting station locations
2344	##
2345	filev = ptasciifile.split(',')[0]
2346	comchar = ptasciifile.split(',')[1].split('\|')
2347	collon = int(ptasciifile.split(',')[2])
2348	collat = int(ptasciifile.split(',')[3])
2349	collab = ptasciifile.split(',')[4]
2350
2351	if not os.path.isfile(filev):
2352	print errormsg
2353	print ' ' + fname + ": file '" + filev + "' does not exist!!"
2354	quit(-1)
2355
2356	# Getting points position and labels
2357	oascii = open(filev, 'r')
2358	xptval = []
2359	yptval = []
2360	if collab != 'None':
2361	ptlabels = []
2362	for line in oascii:
2363	if not drw.searchInlist(comchar, line[0:1]):
2364	linevals = drw.reduce_spaces(line)
2365	xptval.append(np.float(linevals[collon].replace('\n','')))
2366	yptval.append(np.float(linevals[collat].replace('\n','')))
2367	ptlabels.append(linevals[int(collab)].replace('\n',''))
2368	else:
2369	ptlabels = None
2370	for line in oascii:
2371	if not drw.searchInlist(comchar, line[0:1]):
2372	linevals = drw.reduce_spaces(line)
2373	xptval.append(np.float(linevals[collon].replace('\n','')))
2374	yptval.append(np.float(linevals[collat].replace('\n','')))
2375
2376	oascii.close()
2377
2378	if pointlabels != 'None' and collab == 'None':
2379	ptlabels = pointlabels.split(',')
2380
2381	# Getting localization of the points
2382	##
2383	filev = filen.split(',')
2384	Nvals = len(filev)
2385
2386	ncfile = filev[0]
2387	lonvarn = filev[1]
2388	latvarn = filev[2]
2389	varn = None
2390	varextrav = None
2391	if Nvals == 10:
2392	varn = filev[3]
2393	dimvals = filev[4]
2394	varextrav = [filev[5], np.float(filev[6]), np.float(filev[7]), filev[8], \
2395	filev[9]]
2396
2397	if not os.path.isfile(ncfile):
2398	print errormsg
2399	print ' ' + fname + ": file '" + ncfile + "' does not exist!!"
2400	quit(-1)
2401
2402	onc = NetCDFFile(ncfile, 'r')
2403
2404	lonv, latv = drw.lonlat2D(onc.variables[lonvarn], onc.variables[latvarn])
2405
2406	if varn is not None:
2407	objextra = onc.variables[varn]
2408	vard = objextra.dimensions
2409	dd = {}
2410	for dn in dimvals.split('@'):
2411	ddn = dn.split('\|')[0]
2412	ddv = dn.split('\|')[1]
2413	dd[ddn] = ddv
2414	slicevar = []
2415	for dv in vard:
2416	found= False
2417	for dn in dd.keys():
2418	if dn == dv:
2419	slicevar.append(int(dd[dn]))
2420	found = True
2421	break
2422	if not found:
2423	slicevar.append(slice(0,len(onc.dimensions[dv])))
2424
2425	varextra = np.squeeze(objextra[tuple(slicevar)])
2426
2427	if mapvalues == 'None':
2428	mapV = None
2429	else:
2430	mapV = mapvalues
2431
2432	drw.plot_points(xptval, yptval, lonv, latv, varextra, varextrav, gtit, mapV, \
2433	kindfigure, pointcolor, ptlabels, locleg, figureko, figuren)
2434
2435	onc.close()
2436
2437	return
2438
2439	def draw_points_lonlat(filen, values):
2440	""" Function to plot a series of lon/lat points
2441	filen= name of the file
2442	values= [lonvarname]:[latvarname]:[gkind]:[gtit]:[ptcolor]:[pttype]:[ptsize]:[labels]:[locleg]:[figureK]
2443	[lonvarname]: name of the variable longitude
2444	[latvarname]: name of the variable latitude
2445	[gkind]: kind of graphical output
2446	[gtit]: graphic title '!' for spaces
2447	[ptcolor]: color of the points ('auto', for "red")
2448	[pttype]: type of point
2449	[ptsize]: size of point
2450	[labels]: ',' list of labels to use
2451	[locleg]: location of the legend (0, automatic)
2452	1: 'upper right', 2: 'upper left', 3: 'lower left', 4: 'lower right',
2453	5: 'right', 6: 'center left', 7: 'center right', 8: 'lower center',
2454	9: 'upper center', 10: 'center'
2455	[figureK]= kind of figure
2456	'legend': only points in the map with the legend with the names
2457	'labelled',[txtsize],[txtcol]: points with the names and size, color of text
2458	"""
2459	fname = 'draw_points_lonlat'
2460
2461	if values == 'h':
2462	print fname + '_____________________________________________________________'
2463	print draw_points_lonlat.__doc__
2464	quit()
2465
2466	expectargs = '[lonvarname]:[latvarname]:[gkind]:[gtit]:[ptcolor]:[pttype]:' + \
2467	'[ptsize]:[labels]:[locleg]:[figureK]'
2468
2469	drw.check_arguments(fname,len(expectargs.split(':')),values,':', \
2470	expectargs.split(','))
2471
2472	lonname = values.split(':')[0]
2473	latname = values.split(':')[1]
2474	kindfigure = values.split(':')[2]
2475	gtit = values.split(':')[3].replace('!',' ')
2476	pointcolor = values.split(':')[4]
2477	pointtype = values.split(':')[5]
2478	pointsize = np.float(values.split(':')[6])
2479	labelsv = values.split(':')[7]
2480	loclegend = values.split(':')[8]
2481	figureK = values.split(':')[9]
2482
2483	fname = 'points_lonlat'
2484
2485	onc = NetCDFFile(filen, 'r')
2486	if not onc.variables.has_key(lonname):
2487	print errormsg
2488	print fname + ": file '" + filen + "' does not have longitudes '" + lonname +\
2489	"' !!"
2490	quit(-1)
2491	if not onc.variables.has_key(lonname):
2492	print errormsg
2493	print fname + ": file '" + filen + "' does not have longitudes '" + lonname +\
2494	"' !!"
2495	quit(-1)
2496
2497	olon = onc.variables[lonname]
2498	olat = onc.variables[latname]
2499
2500	Ndimlon = len(olon.shape)
2501	if Ndimlon == 1:
2502	lonvals = olon[:]
2503	latvals = olat[:]
2504	elif Ndimlon == 2:
2505	lonvals = olon[:].flatten()
2506	latvals = olat[:].flatten()
2507	elif Ndimlon == 3:
2508	lonvals = olon[1,:,:].flatten()
2509	latvals = olat[1,:,:].flatten()
2510	# Playing for Anna
2511	# lonvals = olon[:].flatten()
2512	# latvals = olat[:].flatten()
2513	elif Ndimlon == 4:
2514	lonvals = olon[1,0,:,:].flatten()
2515	latvals = olat[1,0,:,:].flatten()
2516	else:
2517	print errormsg
2518	print ' ' + fname + ': longitude size:',len(olon),' not ready!!'
2519	quit(-1)
2520
2521	if labelsv == 'None':
2522	labels = None
2523	else:
2524	labels = labelsv.split(',')
2525
2526	drw.plot_list_points(lonvals, latvals, lonname, latname, gtit, figureK, pointcolor, pointtype, \
2527	pointsize, labels, loclegend, kindfigure, fname)
2528
2529	onc.close()
2530
2531	return
2532
2533	def draw_timeSeries(filen, values, variables):
2534	""" Function to draw a time-series
2535	draw_timeSeries(filen, values, variable):
2536	filen= name of the file
2537	values= [gvarname]:[timetit]:[tkind]:[timefmt]:[title]:[locleg]:[gkind]:[colorlines]:[pointtype]
2538	[gvarname]: name of the variable to appear in the graph
2539	[timetit]: title of the time axis (assumed x-axis, '\|' for spaces)
2540	[tkind]: kind of time to appear in the graph (assumed x-axis)
2541	'Nval': according to a given number of values as 'Nval',[Nval]
2542	'exct': according to an exact time unit as 'exct',[tunit];
2543	tunit= [Nunits],[tu]; [tu]= 'c': centuries, 'y': year, 'm': month,
2544	'w': week, 'd': day, 'h': hour, 'i': minute, 's': second,
2545	'l': milisecond
2546	[timefmt]: format of the time labels
2547	[title]: title of the graphic ('\|' for spaces)
2548	[locleg]: location of the legend (0, automatic)
2549	1: 'upper right', 2: 'upper left', 3: 'lower left', 4: 'lower right',
2550	5: 'right', 6: 'center left', 7: 'center right', 8: 'lower center',
2551	9: 'upper center', 10: 'center'
2552	[gkind]: kind of graphical output
2553	[colorlines]: ',' list of colors for the lines, None for automatic, single
2554	value all the same
2555	[pointtype]: ',' list of type of points for the lines, None for automatic, single
2556	value all the same
2557	variables= [varname],[timename] names of variable and variable with times
2558	draw_timeSeries('wrfout_d01_1979-12-01_00:00:00_bottom_top_B6-E6-I1_south_north_B3-E3-I1_west_east_B26-E26-I1.nc', 'dt_con:time\|($[DD]^{[HH]}$):exct,12,h:$%d^{%H}$:time\|evolution\|at\|-1\|6\|3\|26:1:pdf', 'LDQCON,time')
2559	"""
2560
2561	fname = 'draw_timeSeries'
2562
2563	if values == 'h':
2564	print fname + '_____________________________________________________________'
2565	print draw_timeSeries.__doc__
2566	quit()
2567
2568	expectargs = ['[gvarname]', '[timetit]', '[tkind]', '[timefmt]', '[title]', \
2569	'[locleg]', '[gkind]', '[colorlines]', '[pointtype]']
2570
2571	drw.check_arguments(fname,len(expectargs),values,':',expectargs)
2572
2573	gvarname = values.split(':')[0]
2574	timetit = values.split(':')[1].replace('\|',' ')
2575	tkind = values.split(':')[2]
2576	timefmt = values.split(':')[3]
2577	title = values.split(':')[4].replace('\|',' ')
2578	locleg = int(values.split(':')[5])
2579	gkind = values.split(':')[6]
2580	colorlines = values.split(':')[7]
2581	pointtype = values.split(':')[8]
2582
2583	ncobj = NetCDFFile(filen, 'r')
2584
2585	variable = variables.split(',')[0]
2586	timevar = variables.split(',')[1]
2587
2588	if not ncobj.variables.has_key(variable):
2589	print errormsg
2590	print ' ' + fname + ": file '" + filen + "' does not have variable '" + \
2591	variable + "' !!"
2592	quit(-1)
2593
2594	if not ncobj.variables.has_key(timevar):
2595	print errormsg
2596	print ' ' + fname + ": file '" + filen + "' does not have variable time '" \
2597	+ timevar + "' !!"
2598	quit(-1)
2599
2600	varobj = ncobj.variables[variable]
2601	timeobj = ncobj.variables[timevar]
2602
2603	dimt = len(timeobj[:])
2604	varvals = np.zeros((2,dimt), dtype=np.float)
2605
2606	gunits = varobj.getncattr('units')
2607	tunits = timeobj.getncattr('units')
2608
2609	varvals[0,:], valpot, newgunits, Spot = drw.pot_values(varobj[:].flatten(), gunits)
2610	varvals[1,:] = timeobj[:]
2611
2612	tseriesvals = []
2613	tseriesvals.append(varvals)
2614
2615	if colorlines == 'None':
2616	collines = None
2617	else:
2618	collines = colorlines.split(',')
2619	if pointtype == 'None':
2620	pttype = None
2621	else:
2622	pttype = pointtype.split(',')
2623
2624	drw.plot_TimeSeries(tseriesvals, Spot + drw.units_lunits(gunits), tunits, \
2625	'TimeSeries', gvarname, timetit, tkind, timefmt, title, \
2626	gvarname.replace('_','\_'), locleg, gkind, collines, pttype)
2627
2628	return
2629
2630	#draw_timeSeries('wrfout_d01_1979-12-01_00:00:00_bottom_top_B6-E6-I1_south_north_B3-E3-I1_west_east_B26-E26-I1.nc', 'dt_con:time\|($[DD]^{[HH]}$):exct,12,h:$%d^{%H}$:time\|evolution\|at\|-1\|6\|3\|26:1:pdf:None:None', 'LDQCON,time')
2631
2632	def draw_trajectories(trjfilens, values, observations):
2633	""" Function to draw different trajectories at the same time
2634	draw_trajectories(trjfilens, values, observations):
2635	trjfilens= [filen]@[Tint]@[map] ',' separated list of files with trajectories,
2636	time intervals and reference maps (first one will be used to plot)
2637	[filen]: name of the file to use (lines with '#', not readed) as:
2638	[t-step] [x] [y]
2639	[Tint]: interval of time as [Tbeg]@[Tend] or -1 for all the interval
2640	[map]: [file]#[lonname]#[latname]
2641	[file]; with the [lon],[lat] matrices
2642	[lonname],[latname]; names of the longitudes and latitudes variables
2643	values=[leglabels]\|[lonlatlims]\|[title]\|[graphk]\|[mapkind]
2644	[leglabels]: ',' separated list of names for the legend
2645	[lonlatlims]: ',' list of limits of the map [lonmin, latmin, lonmax, latmax] or None
2646	[title]: title of the plot ('!' for spaces)
2647	[graphk]: kind of the graphic
2648	[mapkind]: drawing coastaline ([proj],[res]) or None
2649	[proj]: projection
2650	* 'cyl', cilindric
2651	* 'lcc', lambert conformal
2652	[res]: resolution:
2653	* 'c', crude
2654	* 'l', low
2655	* 'i', intermediate
2656	* 'h', high
2657	* 'f', full
2658	obsevations= [obsfile],[obsname],[Tint],[null]
2659	[obsfile]: name fo the File with the observations as [t-step] [lat] [lon]
2660	[obsname]: name of the observations in the graph
2661	[Tint]: interval of time as [Tbeg]@[Tend] or -1 for all the interval
2662	[null]: null value for the observed trajectory
2663	"""
2664
2665	fname = 'draw_trajectories'
2666
2667	if values == 'h':
2668	print fname + '_____________________________________________________________'
2669	print draw_trajectories.__doc__
2670	quit()
2671
2672	expectargs = '[leglabels]\|[lonlatlims]\|[title]\|[graphk]\|[mapkind]'
2673
2674	drw.check_arguments(fname,len(expectargs.split('\|')),values,'\|',expectargs)
2675
2676	trjfiles = trjfilens.split(',')
2677	leglabels = values.split('\|')[0]
2678	lonlatlims = values.split('\|')[1]
2679	title = values.split('\|')[2].replace('!',' ')
2680	graphk = values.split('\|')[3]
2681	mapkind = values.split('\|')[4]
2682
2683	Nfiles = len(trjfiles)
2684
2685	# Getting trajectotries
2686	##
2687
2688	lontrjvalues = []
2689	lattrjvalues = []
2690
2691	print ' ' + fname
2692	ifn = 0
2693	for ifile in trjfiles:
2694	filen = ifile.split('@')[0]
2695	Tint = ifile.split('@')[1]
2696
2697	print ' trajectory:',filen
2698
2699	if Tint != '-1':
2700	Tbeg = Tint
2701	Tend = ifile.split('@')[2]
2702	mapv = ifile.split('@')[3]
2703	else:
2704	mapv = ifile.split('@')[2]
2705
2706	if not os.path.isfile(filen):
2707	print errormsg
2708	print ' ' + fname + ": trajectory file '" + filen + "' does not exist !!"
2709	quit(-1)
2710
2711	# Charging longitude and latitude values
2712	##
2713	lonvals, latvals = drw.lonlat_values(mapv.split('#')[0], mapv.split('#')[1], \
2714	mapv.split('#')[2])
2715
2716	if ifn == 0: mapref = mapv
2717	ifn = ifn + 1
2718
2719	objfile = open(filen, 'r')
2720	trjtimev = []
2721	trjxv = []
2722	trjyv = []
2723
2724	for line in objfile:
2725	if line[0:1] != '#':
2726	trjtimev.append(int(line.split(' ')[0]))
2727	trjxv.append(int(line.split(' ')[1]))
2728	trjyv.append(int(line.split(' ')[2]))
2729
2730	objfile.close()
2731
2732	if Tint != '-1':
2733	lontrjvalues.append(lonvals[trjyv[Tint:Tend+1], trjxv[Tint:Tend+1]])
2734	lattrjvalues.append(latvals[trjyv[Tint:Tend+1], trjxv[Tint:Tend+1]])
2735	else:
2736	lontrjvalues.append(lonvals[trjyv[:], trjxv[:]])
2737	lattrjvalues.append(latvals[trjyv[:], trjxv[:]])
2738
2739	# lonlatlimits
2740	##
2741
2742	if lonlatlims == 'None':
2743	lonlatlimsv = None
2744	else:
2745	lonlatlimsv = np.zeros((4), dtype=np.float)
2746	lonlatlimsv[0] = np.float(lonlatlims.split(',')[0])
2747	lonlatlimsv[1] = np.float(lonlatlims.split(',')[1])
2748	lonlatlimsv[2] = np.float(lonlatlims.split(',')[2])
2749	lonlatlimsv[3] = np.float(lonlatlims.split(',')[3])
2750
2751	# lon/lat objects
2752	##
2753	objnc = NetCDFFile(mapref.split('#')[0])
2754	lonobj = objnc.variables[mapref.split('#')[1]]
2755	latobj = objnc.variables[mapref.split('#')[2]]
2756
2757	# map
2758	##
2759	if mapkind == 'None':
2760	mapkindv = None
2761	else:
2762	mapkindv = mapkind
2763
2764	if observations is None:
2765	obsname = None
2766	else:
2767	obsfile = observations.split(',')[0]
2768	obsname = observations.split(',')[1]
2769	Tint = observations.split(',')[2]
2770	null = np.float(observations.split(',')[3])
2771	print ' observational trajectory:',obsfile
2772
2773	if not os.path.isfile(obsfile):
2774	print errormsg
2775	print ' ' + fname + ": observations trajectory file '" + obsfile + \
2776	"' does not exist !!"
2777	quit(-1)
2778
2779	objfile = open(obsfile, 'r')
2780	obstrjtimev = []
2781	obstrjxv = []
2782	obstrjyv = []
2783
2784	for line in objfile:
2785	if line[0:1] != '#':
2786	lon = np.float(line.split(' ')[2])
2787	lat = np.float(line.split(' ')[1])
2788	if not lon == null and not lat == null:
2789	obstrjtimev.append(int(line.split(' ')[0]))
2790	obstrjxv.append(lon)
2791	obstrjyv.append(lat)
2792	else:
2793	obstrjtimev.append(int(line.split(' ')[0]))
2794	obstrjxv.append(None)
2795	obstrjyv.append(None)
2796
2797	objfile.close()
2798
2799	if Tint != '-1':
2800	Tint = int(observations.split(',')[2].split('@')[0])
2801	Tend = int(observations.split(',')[2].split('@')[1])
2802	lontrjvalues.append(obstrjxv[Tint:Tend+1])
2803	lattrjvalues.append(obstrjyv[Tint:Tend+1])
2804	else:
2805	lontrjvalues.append(obstrjxv[:])
2806	lattrjvalues.append(obstrjyv[:])
2807
2808	drw.plot_Trajectories(lontrjvalues, lattrjvalues, leglabels.split(','), \
2809	lonobj, latobj, lonlatlimsv, title, graphk, mapkindv, obsname)
2810
2811	objnc.close()
2812
2813	return
2814
2815	def draw_vals_trajectories(ncfile, values, variable):
2816	""" Function to draw values from the outputs from 'compute_tevolboxtraj'
2817	draw_vals_trajectories(ncfile, values, variable)
2818	ncfile= [ncfile] ',' list of files to use
2819	values= [statisticskind]:[Tint]:[labels]@[locleg]:[gvarname]:[timetit]:[tkind]:[timefmt]:[title]:[gkind]
2820	[statisticskind]=[statistics][kind]
2821	[statistics]: which statistics to use, from: 'center', 'min', 'max', 'mean',
2822	'mean2', 'stdev'
2823	[kind]: 'box', 'circle' statistics taking the values from a box or a circle
2824	'trj': value following the trajectory
2825	[Tint]: [Tbeg]@[Tend] or None, interval of time to plot or -1 for all the times
2826	[labels]: ',' separated list of labels for the legend
2827	[locleg]: location of the legend (0, automatic)
2828	1: 'upper right', 2: 'upper left', 3: 'lower left', 4: 'lower right',
2829	5: 'right', 6: 'center left', 7: 'center right', 8: 'lower center',
2830	9: 'upper center', 10: 'center'
2831	[gvarname]: name of the variable to appear in the graph
2832	[timetit]: title of the time axis (assumed x-axis, '\|' for spaces)
2833	[tkind]: kind of time to appear in the graph (assumed x-axis)
2834	'Nval': according to a given number of values as 'Nval',[Nval]
2835	'exct': according to an exact time unit as 'exct',[tunit];
2836	tunit= [Nunits],[tu]; [tu]= 'c': centuries, 'y': year, 'm': month,
2837	'w': week, 'd': day, 'h': hour, 'i': minute, 's': second,
2838	'l': milisecond
2839	[timefmt]: format of the time labels
2840	[title]: title of the graphic ('\|' for spaces)
2841	[gkind]: kind of graphical output
2842	variable= variable to use
2843	"""
2844
2845	fname = 'draw_vals_trajectories'
2846
2847	if values == 'h':
2848	print fname + '_____________________________________________________________'
2849	print draw_vals_trajectories.__doc__
2850	quit()
2851
2852	sims = ncfile.split(',')
2853
2854	if len(values.split(':')) != 9:
2855	print errormsg
2856	print ' ' + fname + ': wrong number of values!', len(values.split(':')), \
2857	'given 9 needed!!'
2858	print ' ',values.split(':')
2859	quit(-1)
2860
2861	statisticskind = values.split(':')[0]
2862	Tint = values.split(':')[1]
2863	labels = values.split(':')[2]
2864	gvarname = values.split(':')[3]
2865	timetit = values.split(':')[4].replace('\|',' ')
2866	tkind = values.split(':')[5]
2867	timefmt = values.split(':')[6]
2868	title = values.split(':')[7].replace('\|',' ')
2869	gkind = values.split(':')[8]
2870
2871	leglabels = labels.split('@')[0].split(',')
2872	locleg = int(labels.split('@')[1])
2873
2874	Nsims = len(sims)
2875
2876	if Tint != '-1':
2877	tini = np.float(Tint.split('@')[0])
2878	tend = np.float(Tint.split('@')[1])
2879	else:
2880	tini = -1.
2881	tend = -1.
2882
2883	vartimetrjv = []
2884
2885	print ' ' + fname
2886	for trjfile in sims:
2887	print ' ' + trjfile + ' ...'
2888	if not os.path.isfile(trjfile):
2889	print errormsg
2890	print ' ' + fname + ": trajectory file: '" + trjfile + \
2891	"' does not exist !!"
2892	quit(-1)
2893
2894	trjobj = NetCDFFile(trjfile, 'r')
2895	otim = trjobj.variables['time']
2896	if not trjobj.variables.has_key(statisticskind + '_' + variable):
2897	print errormsg
2898	print ' ' + fname + ": file '" + trjfile + "' does not have variable '"+\
2899	statisticskind + '_' + variable + "' !!"
2900	quit(-1)
2901	ovar = trjobj.variables[statisticskind + '_' + variable]
2902	dimt = otim.shape[0]
2903
2904	if trjfile == sims[0]:
2905	gunits = ovar.getncattr('units')
2906	lname = ovar.getncattr('long_name')
2907	tunits = otim.getncattr('units')
2908
2909	if tini != -1:
2910	tiniid = -1
2911	tendid = -1
2912	for itv in range(dimt):
2913	if otim[itv] <= tini and otim[itv+1] >= tini: tiniid = itv
2914	if otim[itv] <= tend and otim[itv+1] >= tend: tendid = itv
2915
2916	if tiniid == -1 or tendid == -1:
2917	print errormsg
2918	print ' ' + main + ' time interval ', tini,',',tend,' not found: ', \
2919	tendid, ',', tiniid, ' !!'
2920	print ' data interval [',otim[0], otim[dimt-1],']'
2921	quit(-1)
2922	dimt = tendid - tiniid + 1
2923
2924	else:
2925	dimt = otim.shape[0]
2926
2927	valsv = np.zeros((2,dimt), dtype=np.float)
2928	# Checking for time consistency
2929	if otim.getncattr('units') != tunits:
2930	print warnmsg
2931	print ' ' + fname + ': different time units in the plot!!'
2932	newtimes = drw.coincident_CFtimes(otim[:], tunits, otim.getncattr('units'))
2933	else:
2934	newtimes = otim[:]
2935
2936	if tini == -1:
2937	valsv[1,:] = newtimes[:]
2938	valsv[0,:] = ovar[:]
2939	else:
2940	valsv[1,:] = newtimes[tiniid:tendid+1]
2941	valsv[0,:] = ovar[tiniid:tendid+1]
2942
2943	vartimetrjv.append(valsv)
2944	trjobj.close()
2945
2946	drw.plot_TimeSeries(vartimetrjv, drw.units_lunits(gunits), tunits, \
2947	'val_trajectories_' + statisticskind, gvarname, timetit, tkind, timefmt, title,\
2948	leglabels, locleg, gkind)
2949
2950	def variable_values(values):
2951	""" Function to give back values for a given variable
2952	values= [varname] name of the variable
2953	"""
2954
2955	fname = 'variable_values'
2956
2957	values = drw.variables_values(values)
2958
2959	print fname,'values:',values
2960	print fname,'variable_name:',values[0]
2961	print fname,'standard_name:',values[1]
2962	print fname,'min,max:',str(values[2]) + ',' + str(values[3])
2963	print fname,'long_name:',values[4]
2964	print fname,'units:',values[5]
2965	print fname,'shad_colors:',values[6]
2966	print fname,'all_values:',drw.numVector_String(values,',')
2967
2968	return
2969
2970	def draw_ptZvals(ncfile, values, variable):
2971	""" Function to plot a given list of points and values
2972	ncfile= netCDF file to use
2973	values= [fvname]:[XYvar]:[pointype]:[pointsize]:[graphlimits]:[nxtype]:
2974	[figuretitle]:[colorbar]:[mapvalue]:[kindfig]
2975	fvname: name of the variable in the graph
2976	XYvar: [lon],[lat] variable names
2977	ptype: type of the point
2978	ptsize: size of the point
2979	graphlimits: minLON,minLAT,maxLON,maxLAT limits of the graph 'None' for the full size
2980	nxtype: minimum and maximum type
2981	'auto': values taken from the extrems of the data
2982	[min],[max]: given minimum and maximum values
2983	figtitle: title of the figure
2984	cbar: color bar
2985	mapv: map characteristics: [proj],[res]
2986	see full documentation: http://matplotlib.org/basemap/
2987	[proj]: projection
2988	* 'cyl', cilindric
2989	* 'lcc', lambert-conformal
2990	[res]: resolution:
2991	* 'c', crude
2992	* 'l', low
2993	* 'i', intermediate
2994	* 'h', high
2995	* 'f', full
2996	kfig: kind of figure
2997	variable= name of the variable to plot
2998	"""
2999	fname = 'draw_ptZvals'
3000	import numpy.ma as ma
3001
3002	if values == 'h':
3003	print fname + '_____________________________________________________________'
3004	print draw_ptZvals.__doc__
3005	quit()
3006
3007	expectargs = '[fvname]:[XYvar]:[pointype]:[pointsize]:[graphlmits]:[nxtype]:' + \
3008	'[figuretit]:[colorbar]:[mapvalue]:[kindfig]'
3009
3010	drw.check_arguments(fname,len(expectargs.split(':')),values,':',expectargs)
3011
3012	fvname = values.split(':')[0]
3013	XYvar = values.split(':')[1]
3014	pointype = values.split(':')[2]
3015	pointsize = int(values.split(':')[3])
3016	graphlimits = values.split(':')[4]
3017	nxtype = values.split(':')[5]
3018	figuretitle = values.split(':')[6].replace('!',' ')
3019	colorbar = values.split(':')[7]
3020	mapvalue = values.split(':')[8]
3021	kindfig = values.split(':')[9]
3022
3023	onc = NetCDFFile(ncfile, 'r')
3024
3025	if not onc.variables.has_key(variable):
3026	print errormsg
3027	print ' ' + fname + ": file '" + ncfile + "' does not have variable '" + \
3028	variable + "' !!"
3029	quit(-1)
3030
3031	# points
3032	lonvarn = XYvar.split(',')[0]
3033	latvarn = XYvar.split(',')[1]
3034
3035	if not onc.variables.has_key(lonvarn):
3036	print errormsg
3037	print ' ' + fname + ": file '" + ncfile + "' does not have longitude " + \
3038	"variable '" + lonvarn + "' !!"
3039	quit(-1)
3040
3041	if not onc.variables.has_key(latvarn):
3042	print errormsg
3043	print ' ' + fname + ": file '" + ncfile + "' does not have latitude " + \
3044	"variable '" + latvarn + "' !!"
3045	quit(-1)
3046
3047	olonvar = onc.variables[lonvarn]
3048	olatvar = onc.variables[latvarn]
3049	ovarvar = onc.variables[variable]
3050
3051	Lpts = len(olonvar[:].flatten())
3052
3053	pointvalues = ma.masked_array(np.zeros((Lpts,3), dtype=np.float))
3054	pointvalues[:,0] = olonvar[:]
3055	pointvalues[:,1] = olatvar[:]
3056	pointvalues[:,2] = ovarvar[:]
3057
3058	varattrs = ovarvar.ncattrs()
3059	if drw.searchInlist(varattrs, 'units'):
3060	fvunits = ovarvar.getncattr('units')
3061	else:
3062	fvunits = drw.variables_values(variable)[5]
3063
3064	# map value
3065	if mapvalue == 'None': mapvalue = None
3066
3067	# Graph limits
3068	if graphlimits != 'None':
3069	graphlts = np.zeros((4), dtype=np.float)
3070	for il in range(4): graphlts[il] = np.float(graphlimits.split(',')[il])
3071	pointvalues[:,0] = ma.masked_outside(pointvalues[:,0], graphlts[0], \
3072	graphlts[2])
3073	pointvalues[:,1] = ma.masked_outside(pointvalues[:,1], graphlts[3], \
3074	graphlts[2])
3075
3076	# for ip in range(Lpts):
3077	# if pointvalues[ip,0] < graphlts[0] or pointvalues[ip,0] > graphlts[2] \
3078	# or pointvalues[ip,1] < graphlts[1] or pointvalues[ip,1] > graphlts[3]:
3079	# print ip,pointvalues[ip,0:2], graphlts
3080	# pointvalues[ip,2] = None
3081	else:
3082	graphlts = None
3083
3084	drw.plot_ptZvals(fvname,fvunits,pointvalues,pointype,pointsize,graphlts, nxtype, \
3085	figuretitle,colorbar,mapvalue,kindfig)
3086
3087	return
3088
3089	#draw_ptZvals('OBSnetcdf.nc', 'pracc:lon,lat:o:80:2,42,7,47,:values!of!values:Blues:cyl,l:pdf', 'pr')
3090	#quit()
3091
3092	####### ###### ##### #### ### ## #
3093
3094	ngraphics = "'" + drw.numVector_String(namegraphics, "', '") + "'"
3095
3096	### Options
3097	##string_operation="operation to make: " + '\n' + " out, output values -S inidim1,[inidim2,...]:enddim1,[enddim2,...]"
3098	string_operation="""operation to make:
3099	draw_topo_geogrid, draws topography from a WPS geo_em.d[nn].nc: -S [minTopo],[maxTopo]:[SW_lon],[SW_lat],[NE_lon],[NE_lat]:[title]:[graphic_kind]:[projection],[res_coastline]
3100	draw_2D_shad_cont, draws two 2D fields, first with shading second with contour lines: -v [varns],[varnc] -S [vnamefs],[vnamefc],[dimxvn],[dimyvn],[colorbar],[ckind],[clabfmt],[sminv]:[smaxv],[sminc]:[smaxv]:[Nlev],[figt],[kindfig],[reverse]
3101	[ckind]:
3102	'cmap': as it gets from colorbar
3103	'fixc,[colname]': fixed color [colname], all stright lines
3104	'fixsignc,[colname]': fixed color [colname], >0 stright, <0 dashed line
3105	"""
3106
3107	#print string_operation
3108
3109	parser = OptionParser()
3110	parser.add_option("-f", "--netCDF_file", dest="ncfile",
3111	help="file to use", metavar="FILE")
3112	parser.add_option("-o", "--operation", type='choice', dest="operation",
3113	choices=namegraphics,
3114	help="operation to make: " + ngraphics, metavar="OPER")
3115	parser.add_option("-S", "--valueS", dest="values",
3116	help="[WHEN APPLICABLE] values to use according to the operation", metavar="VALUES")
3117	parser.add_option("-v", "--variable", dest="varname",
3118	help="[WHEN APPLICABLE] variable to check", metavar="VAR")
3119
3120	(opts, args) = parser.parse_args()
3121
3122	####### #######
3123	## MAIN
3124	#######
3125
3126	# Not checking file operation
3127	Notcheckingfile = ['draw_2D_shad_cont', 'draw_2D_shad_cont_time', \
3128	'draw_2D_shad_line', 'draw_2D_shad_line_time', 'draw_lines', 'draw_lines_time', \
3129	'draw_points', 'draw_topo_geogrid_boxes', 'draw_trajectories', \
3130	'draw_vals_trajectories', 'variable_values']
3131
3132	####### ###### ##### #### ### ## #
3133	errormsg='ERROR -- error -- ERROR -- error'
3134
3135	varn=opts.varname
3136	oper=opts.operation
3137
3138	if opts.ncfile is not None and not os.path.isfile(opts.ncfile) and \
3139	not drw.searchInlist(Notcheckingfile, oper):
3140	print errormsg
3141	print ' ' + main + ': File ' + opts.ncfile + ' does not exist !!'
3142	quit(-1)
3143
3144	if oper == 'create_movie':
3145	create_movie(opts.ncfile, opts.values, opts.varname)
3146	elif oper == 'draw_2D_shad':
3147	draw_2D_shad(opts.ncfile, opts.values, opts.varname)
3148	elif oper == 'draw_2D_shad_time':
3149	draw_2D_shad_time(opts.ncfile, opts.values, opts.varname)
3150	elif oper == 'draw_2D_shad_cont':
3151	draw_2D_shad_cont(opts.ncfile, opts.values, opts.varname)
3152	elif oper == 'draw_2D_shad_cont_time':
3153	draw_2D_shad_cont_time(opts.ncfile, opts.values, opts.varname)
3154	elif oper == 'draw_2D_shad_line':
3155	draw_2D_shad_line(opts.ncfile, opts.values, opts.varname)
3156	elif oper == 'draw_2D_shad_line_time':
3157	draw_2D_shad_line_time(opts.ncfile, opts.values, opts.varname)
3158	elif oper == 'draw_barbs':
3159	draw_barbs(opts.ncfile, opts.values, opts.varname)
3160	elif oper == 'draw_Neighbourghood_evol':
3161	draw_Neighbourghood_evol(opts.ncfile, opts.values, opts.varname)
3162	elif oper == 'draw_lines':
3163	draw_lines(opts.ncfile, opts.values, opts.varname)
3164	elif oper == 'draw_lines_time':
3165	draw_lines_time(opts.ncfile, opts.values, opts.varname)
3166	elif oper == 'draw_points':
3167	draw_points(opts.ncfile, opts.values)
3168	elif oper == 'draw_points_lonlat':
3169	draw_points_lonlat(opts.ncfile, opts.values)
3170	elif oper == 'draw_ptZvals':
3171	draw_ptZvals(opts.ncfile, opts.values, opts.varname)
3172	elif oper == 'draw_timeSeries':
3173	draw_timeSeries(opts.ncfile, opts.values, opts.varname)
3174	elif oper == 'draw_topo_geogrid':
3175	draw_topo_geogrid(opts.ncfile, opts.values)
3176	elif oper == 'draw_topo_geogrid_boxes':
3177	draw_topo_geogrid_boxes(opts.ncfile, opts.values)
3178	elif oper == 'draw_trajectories':
3179	draw_trajectories(opts.ncfile, opts.values, opts.varname)
3180	elif oper == 'draw_vals_trajectories':
3181	draw_vals_trajectories(opts.ncfile, opts.values, opts.varname)
3182	elif oper == 'list_graphics':
3183	# From: http://www.diveintopython.net/power_of_introspection/all_together.html
3184	import drawing as myself
3185	object = myself
3186	for opern in namegraphics:
3187	if opern != 'list_graphics':
3188	print opern + '_______ ______ _____ ____ ___ __ _'
3189	print getattr(object, opern).__doc__
3190	elif oper == 'variable_values':
3191	variable_values(opts.values)
3192	else:
3193	print errormsg
3194	print ' ' + main + ": the graphic '" + oper + "' is not ready !!"
3195	print errormsg
3196	quit()

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