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source: lmdz_wrf/trunk/tools/drawing.py @ 422

Last change on this file since 422 was 422, checked in by lfita, 10 years ago
Changing title and dx,dy dimensions on 'plot_Trajectories'
File size: 94.4 KB

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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' -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
24	main = 'drawing.py'
25
26	errormsg = 'ERROR -- error -- ERROR -- error'
27	warnmsg = 'WARNING -- waring -- WARNING -- warning'
28	fillValue=1.e20
29
30	namegraphics = ['create_movie', 'draw_2D_shad', 'draw_2D_shad_time', \
31	'draw_2D_shad_cont', 'draw_2D_shad_cont_time', 'draw_2D_shad_line', \
32	'draw_2D_shad_line_time', 'draw_timeSeries', 'draw_topo_geogrid', \
33	'draw_topo_geogrid_boxes', 'draw_trajectories', 'draw_vals_trajectories', \
34	'draw_lines', 'draw_lines_time', 'draw_Neighbourghood_evol', 'list_graphics', \
35	'variable_values']
36
37	def draw_2D_shad(ncfile, values, varn):
38	""" plotting a fields with shading
39	draw_2D_shad(ncfile, values, varn)
40	ncfile= file to use
41	values=[vnamefs]:[dimvals]:[dimxvn]:[dimyvn]:[colorbar]:[sminv],[smaxv]:[figt]:
42	[kindfig]:[reverse]:[mapv]:[close]
43	[vnamefs]: Name in the figure of the variable to be shaded
44	[dimvals]: ',' list of [dimname]\|[value] telling at which dimension of the
45	variable a given value is required (-1, all the length)
46	[dimx/yvn]: name of the variables with the values of the final dimensions (x,y)
47	[colorbar]: name of the color bar
48	[smin/axv]: minimum and maximum value for the shading or:
49	'Srange': for full range
50	'Saroundmean@val': for mean-xtrm,mean+xtrm where xtrm = np.min(mean-min@val,max@val-mean)
51	'Saroundminmax@val': for minval,maxval
52	'Saroundpercentile@val': for median-xtrm,median+xtrm where xtrm = np.min(median-percentile_(val),
53	percentile_(100-val)-median)
54	'Smean@val': for -xtrm,xtrm where xtrm = np.min(mean-min@val,max@val-mean)
55	'Smedian@val': for -xtrm,xtrm where xtrm = np.min(median-min@val,max@val-median)
56	'Spercentile@val': for -xtrm,xtrm where xtrm = np.min(median-percentile_(val),
57	percentile_(100-val)-median)
58	[figt]: title of the figure ('\|' for spaces)
59	[kindfig]: kind of figure
60	[reverse]: Transformation of the values
61	* 'transpose': reverse the axes (x-->y, y-->x)
62	* 'flip'@[x/y]: flip the axis x or y
63	[mapv]: map characteristics: [proj],[res]
64	see full documentation: http://matplotlib.org/basemap/
65	[proj]: projection
66	* 'cyl', cilindric
67	* 'lcc', lamvbert conformal
68	[res]: resolution:
69	* 'c', crude
70	* 'l', low
71	* 'i', intermediate
72	* 'h', high
73	* 'f', full
74	valules= 'rh:z\|-1,x\|-1:z\|-1,x\|-1:lat:pressure:BuPu:0.,100.:rh:pdf:flip@y:None'
75	varn= [varsn] name of the variable to plot with shading
76	"""
77
78	fname = 'draw_2D_shad'
79	if values == 'h':
80	print fname + '_____________________________________________________________'
81	print draw_2D_shad.__doc__
82	quit()
83
84	expectargs = ['[vnamefs]', '[dimvals]', '[dimxvn]', '[dimyvn]', '[colorbar]', \
85	'[sminv],[smaxv]', '[figt]', '[kindfig]', '[reverse]', '[mapv]', '[close]']
86
87	drw.check_arguments(fname,len(expectargs),values,':',expectargs)
88
89	vnamesfig = values.split(':')[0]
90	dimvals= values.split(':')[1].replace('\|',':')
91	vdimxn = values.split(':')[2]
92	vdimyn = values.split(':')[3]
93	colbarn = values.split(':')[4]
94	shadminmax = values.split(':')[5]
95	figtitle = values.split(':')[6].replace('\|',' ')
96	figkind = values.split(':')[7]
97	revals = values.split(':')[8]
98	mapvalue = values.split(':')[9]
99	# varn = values.split(':')[10]
100
101	ncfiles = ncfile
102
103	if not os.path.isfile(ncfiles):
104	print errormsg
105	print ' ' + fname + ': shading file "' + ncfiles + '" does not exist !!'
106	quit(-1)
107
108	objsf = NetCDFFile(ncfiles, 'r')
109
110	varns = varn.split(',')[0]
111
112	if not objsf.variables.has_key(varns):
113	print errormsg
114	print ' ' + fname + ': shading file "' + ncfiles + \
115	'" does not have variable "' + varns + '" !!'
116	quit(-1)
117
118	# Variables' values
119	objvars = objsf.variables[varns]
120
121	valshad, dimsshad = drw.slice_variable(objvars, dimvals.replace(',','\|'))
122
123	# Dimensions names
124	## print fname + ' obj dimnames: ', objvars.dimensions, dimvals, len(dimvals.split(','))
125	## dimnamesv = []
126	## for idd in range(len(objvars.dimensions)):
127	## cutdim = False
128	## for idc in range(len(dimvals.split(','))):
129	## dimcutn = dimvals.split(',')[idc].split(':')[0]
130	## print objvars.dimensions[idd], dimcutn
131	## if objvars.dimensions[idd] == dimcutn:
132	## cutdim = True
133	## break
134	## if not cutdim: dimnamesv.append(objvars.dimensions[idd])
135	dimnamesv = [vdimyn, vdimxn]
136
137	if drw.searchInlist(objvars.ncattrs(),'units'):
138	varunits = objvars.getncattr('units')
139	else:
140	print warnmsg
141	print ' ' + fname + ": variable '" + varn + "' without units!!"
142	varunits = '-'
143
144	if not objsf.variables.has_key(vdimxn):
145	print errormsg
146	print ' ' + fname + ': shading file "' + ncfiles + \
147	'" does not have dimension variable "' + vdimxn + '" !!'
148	quit(-1)
149	if not objsf.variables.has_key(vdimyn):
150	print errormsg
151	print ' ' + fname + ': shading file "' + ncfiles + \
152	'" does not have dimension variable "' + vdimyn + '" !!'
153	quit(-1)
154
155	objdimx = objsf.variables[vdimxn]
156	objdimy = objsf.variables[vdimyn]
157	if drw.searchInlist(objdimx.ncattrs(),'units'):
158	odimxu = objdimx.getncattr('units')
159	else:
160	print warnmsg
161	print ' ' + fname + ": variable dimension '" + vdimxn + "' without units!!"
162	odimxu = '-'
163
164	if drw.searchInlist(objdimy.ncattrs(),'units'):
165	odimyu = objdimy.getncattr('units')
166	else:
167	print warnmsg
168	print ' ' + fname + ": variable dimension '" + vdimyn + "' without units!!"
169	odimyu = '-'
170
171	if len(objdimx.shape) <= 2:
172	# odimxv = objdimx[valshad.shape]
173	# odimyv = objdimy[valshad.shape]
174	odimxv = objdimx[:]
175	odimyv = objdimy[:]
176
177	elif len(objdimx.shape) == 3:
178	# dimcut = [0, slice(0,valshad.shape[0]), slice(0,valshad.shape[1])]
179	# odimxv = objdimx[tuple(dimcut)]
180	# odimyv = objdimy[tuple(dimcut)]
181	odimxv = objdimx[0,:]
182	odimyv = objdimy[0,:]
183	else:
184	print errormsg
185	print ' ' + fname + ': shape of dimension variable:', objdimx.shape, \
186	' not ready!!'
187	quit(-1)
188
189	shading_nx = []
190	if shadminmax.split(',')[0][0:1] != 'S':
191	shading_nx.append(np.float(shadminmax.split(',')[0]))
192	else:
193	shading_nx.append(shadminmax.split(',')[0])
194
195	if shadminmax.split(',')[1][0:1] != 'S':
196	shading_nx.append(np.float(shadminmax.split(',')[1]))
197	else:
198	shading_nx.append(shadminmax.split(',')[1])
199
200	if mapvalue == 'None': mapvalue = None
201
202	drw.plot_2D_shadow(valshad, vnamesfig, odimxv, odimyv, odimxu, odimyu, dimnamesv,\
203	colbarn, shading_nx, varunits, figtitle, figkind, revals, mapvalue, True)
204
205	return
206
207	def draw_2D_shad_time(ncfile, values, varn):
208	""" plotting a fields with shading with time values
209	draw_2D_shad(ncfile, values, varn)
210	ncfile= file to use
211	values=[vnamefs]:[dimvals]:[dimxvn]:[dimyvn]:[colorbar]:[sminv],[smaxv]:[figt]:
212	[kindfig]:[reverse]:[timevals]:[close]
213	[vnamefs]: Name in the figure of the variable to be shaded
214	[dimvals]: ',' list of [dimname]\|[value] telling at which dimension of the
215	variable a given value is required (-1, all the length)
216	[dimx/yvn]: name of the variables with the values of the final dimensions (x,y)
217	[colorbar]: name of the color bar
218	[smin/axv]: minimum and maximum value for the shading or:
219	'Srange': for full range
220	'Saroundmean@val': for mean-xtrm,mean+xtrm where xtrm = np.min(mean-min@val,max@val-mean)
221	'Saroundminmax@val': for minval,maxval
222	'Saroundpercentile@val': for median-xtrm,median+xtrm where xtrm = np.min(median-percentile_(val),
223	percentile_(100-val)-median)
224	'Smean@val': for -xtrm,xtrm where xtrm = np.min(mean-min@val,max@val-mean)
225	'Smedian@val': for -xtrm,xtrm where xtrm = np.min(median-min@val,max@val-median)
226	'Spercentile@val': for -xtrm,xtrm where xtrm = np.min(median-percentile_(val),
227	percentile_(100-val)-median)
228	[figt]: title of the figure ('\|' for spaces)
229	[kindfig]: kind of figure
230	[reverse]: Transformation of the values
231	* 'transpose': reverse the axes (x-->y, y-->x)
232	* 'flip'@[x/y]: flip the axis x or y
233	[timevals]: [timen]\|[units]\|[kind]\|[tfmt]\|[label]\|[timeaxis] time labels characteristics
234	[timen]; name of the time variable
235	[units]; units string according to CF conventions ([tunits] since
236	[YYYY]-[MM]-[DD] [[HH]:[MI]:[SS]], '!' for spaces)
237	[kind]; kind of output
238	'Nval': according to a given number of values as 'Nval',[Nval]
239	'exct': according to an exact time unit as 'exct',[tunit];
240	tunit= [Nunits],[tu]; [tu]= 'c': centuries, 'y': year, 'm': month,
241	'w': week, 'd': day, 'h': hour, 'i': minute, 's': second,
242	'l': milisecond
243	[tfmt]; desired format
244	[label]; label at the graph ('!' for spaces)
245	[close]: should figure be closed (finished)
246	values='dtcon:Time\|-1,bottom_top\|-1:presmean:time:seismic:-3.e-6,3.e-6:monthly\|'
247	'dtcon:pdf:transpose:time\|hours!since!1949-12-01\|exct,2,d\|%d\|date!([DD])\|x:True
248	varn= [varsn] name of the variable to plot with shading
249	"""
250	fname = 'draw_2D_shad_time'
251
252	if values == 'h':
253	print fname + '_____________________________________________________________'
254	print draw_2D_shad_time.__doc__
255	quit()
256
257	farguments = ['[vnamefs]', '[dimvals]', '[dimxvn]', '[dimyvn]', '[colorbar]', \
258	'[sminv],[smaxv]', '[figt]', '[kindfig]', '[reverse]', '[timevals]', '[close]']
259	drw.check_arguments(fname,11,values,':',farguments)
260
261	vnamesfig = values.split(':')[0]
262	dimvals= values.split(':')[1].replace('\|',':')
263	vdimxn = values.split(':')[2]
264	vdimyn = values.split(':')[3]
265	colbarn = values.split(':')[4]
266	shadminmax = values.split(':')[5]
267	figtitle = values.split(':')[6].replace('\|',' ')
268	figkind = values.split(':')[7]
269	revals = values.split(':')[8]
270	timevals = values.split(':')[9]
271	close = values.split(':')[10]
272
273	ncfiles = ncfile
274
275	if not os.path.isfile(ncfiles):
276	print errormsg
277	print ' ' + fname + ': shading file "' + ncfiles + '" does not exist !!'
278	quit(-1)
279
280	objsf = NetCDFFile(ncfiles, 'r')
281
282	varns = varn.split(',')[0]
283
284	if not objsf.variables.has_key(varns):
285	print errormsg
286	print ' ' + fname + ': shading file "' + ncfiles + \
287	'" does not have variable "' + varns + '" !!'
288	quit(-1)
289
290	# Variables' values
291	objvars = objsf.variables[varns]
292
293	valshad, dimsshad = drw.slice_variable(objvars, dimvals.replace(',','\|'))
294
295	dimnamesv = [vdimyn, vdimxn]
296
297	varunits = objvars.getncattr('units')
298
299	if not objsf.variables.has_key(vdimxn):
300	print errormsg
301	print ' ' + fname + ': shading file "' + ncfiles + \
302	'" does not have dimension variable "' + vdimxn + '" !!'
303	quit(-1)
304	if not objsf.variables.has_key(vdimyn):
305	print errormsg
306	print ' ' + fname + ': shading file "' + ncfiles + \
307	'" does not have dimensino variable "' + vdimyn + '" !!'
308	quit(-1)
309
310	objdimx = objsf.variables[vdimxn]
311	objdimy = objsf.variables[vdimyn]
312	odimxu = objdimx.getncattr('units')
313	odimyu = objdimy.getncattr('units')
314
315	if len(objdimx.shape) <= 2:
316	odimxv = objdimx[:]
317	odimyv = objdimy[:]
318
319	elif len(objdimx.shape) == 3:
320	odimxv = objdimx[0,:]
321	odimyv = objdimy[0,:]
322	else:
323	print errormsg
324	print ' ' + fname + ': shape of dimension variable:', objdimx.shape, \
325	' not ready!!'
326	quit(-1)
327
328	timename = timevals.split('\|')[0]
329	timeunit = timevals.split('\|')[1].replace('!',' ')
330	timekind = timevals.split('\|')[2]
331	timefmt = timevals.split('\|')[3]
332	timelabel = timevals.split('\|')[4].replace('!',' ')
333
334	if vdimxn == timename:
335	odimxv = objsf.variables[vdimxn][:]
336	odimxu = timelabel
337	timeaxis = 'x'
338	odimyv = objsf.variables[vdimyn]
339	odimyu = odimyv.getncattr('units')
340	timepos, timelabels = drw.CFtimes_plot(odimxv, timeunit, timekind, timefmt)
341	elif vdimyn == timename:
342	odimyv = objsf.variables[vdimyn][:]
343	odimyu = timelabel
344	timeaxis = 'y'
345	odimxv = objsf.variables[vdimxn]
346	odimxu = odimxv.getncattr('units')
347	timepos, timelabels = drw.CFtimes_plot(odimyv, timeunit, timekind, timefmt)
348	else:
349	print errormsg
350	print ' ' + fname + ": time variable '" + timename + "' not found!!"
351	quit(-1)
352
353	shading_nx = []
354	if shadminmax.split(',')[0][0:1] != 'S':
355	shading_nx.append(np.float(shadminmax.split(',')[0]))
356	else:
357	shading_nx.append(shadminmax.split(',')[0])
358
359	if shadminmax.split(',')[1][0:1] != 'S':
360	shading_nx.append(np.float(shadminmax.split(',')[1]))
361	else:
362	shading_nx.append(shadminmax.split(',')[1])
363
364	closeval = drw.Str_Bool(close)
365
366	drw.plot_2D_shadow_time(valshad, vnamesfig, odimxv, odimyv, odimxu, odimyu, \
367	dimnamesv, colbarn, shading_nx, varunits, figtitle, figkind, revals, timeaxis, \
368	timepos, timelabels, closeval)
369
370	return
371
372	def draw_2D_shad_cont(ncfile, values, varn):
373	""" plotting two fields, one with shading and the other with contour lines
374	draw_2D_shad_cont(ncfile, values, varn)
375	ncfile= [ncfilevars],[ncfilevarc] files to use (one value, same file)
376	values=[vnamefs]:[dimvals]:[dimvalc]:[dimxvn]:[dimyvn]:[colorbar]:[ckind]:[clabfmt]:[sminv],[smaxv]:[sminc],[smaxv],[Nlev]:[figt]:[kindfig]:[reverse]:[mapv]
377	[vnamefs],[vnamefc]: Name in the figure of the shaded and the contour variables
378	[dimvals/c]: list of [dimname]\|[value] telling at which dimension of the
379	variable a given value is required (no dimension name, all the length)
380	[dimx/yvn]: names of the variables with the values of the dimensions for the plot
381	[colorbar]: name of the color bar
382	[ckind]: kind of contours
383	'cmap': as it gets from colorbar
384	'fixc,[colname]': fixed color [colname], all stright lines
385	'fixsigc,[colname]': fixed color [colname], >0 stright, <0 dashed line
386	[clabfmt]: format of the labels in the contour (None, also possible)
387	[smin/axv]: minimum and maximum value for the shading
388	[sminc]:[smaxv]:[Nlev]: minimum, maximum and number of values for the contour
389	[figt]: title of the figure ('\|' for spaces)
390	[kindfig]: kind of figure
391	[reverse]: does the values be transposed? 'True/False',
392	[mapv]: map characteristics: [proj],[res]
393	see full documentation: http://matplotlib.org/basemap/
394	[proj]: projection
395	* 'cyl', cilindric
396	* 'lcc', lamvbert conformal
397	[res]: resolution:
398	* 'c', crude
399	* 'l', low
400	* 'i', intermediate
401	* 'h', high
402	* 'f', full
403	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'
404	varn= [varsn],[varcn] name of the variable to plot with shading variable with contour
405	"""
406
407	fname = 'draw_2D_shad_cont'
408	if values == 'h':
409	print fname + '_____________________________________________________________'
410	print draw_2D_shad_cont.__doc__
411	quit()
412
413	vnamesfig = values.split(':')[0].split(',')
414	dimvals= values.split(':')[1].replace('\|',':')
415	dimvalc= values.split(':')[2].replace('\|',':')
416	vdimxn = values.split(':')[3]
417	vdimyn = values.split(':')[4]
418	colbarn = values.split(':')[5]
419	countkind = values.split(':')[6]
420	countlabelfmt = values.split(':')[7]
421	shadminmax = values.split(':')[8]
422	contlevels = values.split(':')[9]
423	figtitle = values.split(':')[10].replace('\|',' ')
424	figkind = values.split(':')[11]
425	revals = values.split(':')[12]
426	mapvalue = values.split(':')[13]
427
428	if2filenames = ncfile.find(',')
429
430	if if2filenames != -1:
431	ncfiles = ncfile.split(',')[0]
432	ncfilec = ncfile.split(',')[1]
433	else:
434	ncfiles = ncfile
435	ncfilec = ncfile
436
437	if not os.path.isfile(ncfiles):
438	print errormsg
439	print ' ' + fname + ': shading file "' + ncfiles + '" does not exist !!'
440	quit(-1)
441
442	if not os.path.isfile(ncfilec):
443	print errormsg
444	print ' ' + fname + ': contour file "' + ncfilec + '" does not exist !!'
445	quit(-1)
446
447	objsf = NetCDFFile(ncfiles, 'r')
448	objcf = NetCDFFile(ncfilec, 'r')
449
450	varns = varn.split(',')[0]
451	varnc = varn.split(',')[1]
452
453	if not objsf.variables.has_key(varns):
454	print errormsg
455	print ' ' + fname + ': shading file "' + ncfiles + \
456	'" does not have variable "' + varns + '" !!'
457	quit(-1)
458
459	if not objcf.variables.has_key(varnc):
460	print errormsg
461	print ' ' + fname + ': contour file "' + ncfilec + \
462	'" does not have variable "' + varnc + '" !!'
463	quit(-1)
464
465	# Variables' values
466	objvars = objsf.variables[varns]
467	objvarc = objcf.variables[varnc]
468
469	if len(objvars.shape) != len(objvarc.shape):
470	print errormsg
471	print ' ' + fname + ': shading variable "' + varns + '" has a shape: ', \
472	objvars.shape, 'different than contour variable "' + varnc + '": ', \
473	objvarc.shape,' !!!'
474	quit(-1)
475
476	for idim in range(len(objvars.shape)):
477	if objvars.shape[idim] != objvarc.shape[idim]:
478	print errormsg
479	print ' ' + fname + ': shading variable "' + varns + '" has a shape: ', \
480	objvars.shape, 'different than contour variable "' + varnc + '": ', \
481	objvarc.shape,' !!!'
482	quit(-1)
483
484	valshad, dimsshad = drw.slice_variable(objvars, dimvals.replace(',','\|'))
485	valcont, dimscont = drw.slice_variable(objvarc, dimvalc.replace(',','\|'))
486
487	# Dimensions names
488	## print fname + ' obj dimnames: ', objvars.dimensions, dimvals, len(dimvals.split(','))
489	## dimnamesv = []
490	## for idd in range(len(objvars.dimensions)):
491	## cutdim = False
492	## for idc in range(len(dimvals.split(','))):
493	## dimcutn = dimvals.split(',')[idc].split(':')[0]
494	## print objvars.dimensions[idd], dimcutn
495	## if objvars.dimensions[idd] == dimcutn:
496	## cutdim = True
497	## break
498	## if not cutdim: dimnamesv.append(objvars.dimensions[idd])
499	dimnamesv = [vdimyn, vdimxn]
500
501	varunits = []
502	varunits.append(objvars.getncattr('units'))
503	varunits.append(objvarc.getncattr('units'))
504
505	if not objsf.variables.has_key(vdimxn):
506	print errormsg
507	print ' ' + fname + ': shading file "' + ncfiles + \
508	'" does not have dimension variable "' + vdimxn + '" !!'
509	quit(-1)
510	if not objsf.variables.has_key(vdimyn):
511	print errormsg
512	print ' ' + fname + ': shading file "' + ncfiles + \
513	'" does not have dimensino variable "' + vdimyn + '" !!'
514	quit(-1)
515
516	objdimx = objsf.variables[vdimxn]
517	objdimy = objsf.variables[vdimyn]
518	odimxu = objdimx.getncattr('units')
519	odimyu = objdimy.getncattr('units')
520
521	# Getting only that dimensions with coincident names
522	dimnvx = objdimx.dimensions
523	cutslice = []
524	for idimn in objdimx.dimensions:
525	found = False
526	for dimsn in dimsshad:
527	if idimn == dimsn:
528	cutslice.append(slice(0,len(objsf.dimensions[idimn])))
529	found = True
530	if not found: cutslice.append(0)
531
532	odimxv = objdimx[tuple(cutslice)]
533
534	dimnvy = objdimy.dimensions
535	cutslice = []
536	for idimn in objdimy.dimensions:
537	found = False
538	for dimsn in dimsshad:
539	if idimn == dimsn:
540	cutslice.append(slice(0,len(objsf.dimensions[idimn])))
541	found = True
542	if not found: cutslice.append(0)
543
544	odimyv = objdimy[tuple(cutslice)]
545
546	# if len(objdimx.shape) <= 2:
547	# odimxv = objdimx[:]
548	# odimyv = objdimy[:]
549	# elif len(objdimx.shape) == 3:
550	# odimxv = objdimx[0,:]
551	# odimyv = objdimy[0,:]
552	# else:
553	# print errormsg
554	# print ' ' + fname + ': shape of dimension variable:', objdimx.shape, \
555	# ' not ready!!'
556	# quit(-1)
557
558	if countlabelfmt == 'None':
559	countlfmt = None
560	else:
561	countlfmt = countlabelfmt
562
563	shading_nx = np.zeros((2), dtype=np.float)
564	shading_nx[0] = np.float(shadminmax.split(',')[0])
565	shading_nx[1] = np.float(shadminmax.split(',')[1])
566
567	clevmin = np.float(contlevels.split(',')[0])
568	clevmax = np.float(contlevels.split(',')[1])
569	Nclevels = int(contlevels.split(',')[2])
570
571	levels_cont = drw.pretty_int(clevmin, clevmax, Nclevels)
572
573	if len(levels_cont) <= 1:
574	print warnmsg
575	print ' ' + fname + ': wrong contour levels:', levels_cont,' !!'
576	del(levels_cont)
577	levels_cont = np.zeros((Nclevels), dtype=np.float)
578	levels_cont = np.arange(7)*(clevmax - clevmin)/(Nclevels-1)
579	print ' generating default ones: ',levels_cont
580
581	if mapvalue == 'None': mapvalue = None
582
583	drw.plot_2D_shadow_contour(valshad, valcont, vnamesfig, odimxv, odimyv, odimxu, \
584	odimyu, dimnamesv, colbarn, countkind, countlfmt, shading_nx, levels_cont, \
585	varunits, figtitle, figkind, revals, mapvalue)
586
587	return
588
589	def draw_2D_shad_cont_time(ncfile, values, varn):
590	""" plotting two fields, one with shading and the other with contour lines being
591	one of the dimensions of time characteristics
592	draw_2D_shad_cont(ncfile, values, varn)
593	ncfile= [ncfilevars],[ncfilevarc] files to use (one value, same file)
594	values=[vnamefs]:[dimvals]:[dimvalc]:[dimxvn]:[dimyvn]:[colorbar]:[ckind]:[clabfmt]:[sminv],[smaxv]:[sminc],[smaxv],[Nlev]:[figt]:[kindfig]:[reverse]:[timevals]:[mapv]
595	[vnamefs],[vnamefc]: Name in the figure of the shaded and the contour variables
596	[dimvals/c]: list of [dimname]\|[value] telling at which dimension of the
597	variable a given value is required (no dimension name, all the length)
598	[dimx/yvn]: ',' list with the name of the variables with the values of the dimensions
599	[colorbar]: name of the color bar
600	[ckind]: kind of contours
601	'cmap': as it gets from colorbar
602	'fixc,[colname]': fixed color [colname], all stright lines
603	'fixsigc,[colname]': fixed color [colname], >0 stright, <0 dashed line
604	[clabfmt]: format of the labels in the contour (None, also possible)
605	[smin/axv]: minimum and maximum value for the shading
606	[sminc]:[smaxv]:[Nlev]: minimum, maximum and number of values for the contour
607	[figt]: title of the figure ('\|' for spaces)
608	[kindfig]: kind of figure
609	[reverse]: modification to the dimensions:
610	'transposed': transpose matrices
611	'flip',[x/y]: flip only the dimension [x] or [y]
612	[timevals]: [timen]\|[units]\|[kind]\|[tfmt]\|[label] time labels characteristics
613	[timen]; name of the time variable
614	[units]; units string according to CF conventions ([tunits] since
615	[YYYY]-[MM]-[DD] [[HH]:[MI]:[SS]], '!' for spaces)
616	[kind]; kind of output
617	'Nval': according to a given number of values as 'Nval',[Nval]
618	'exct': according to an exact time unit as 'exct',[tunit];
619	tunit= [Nunits],[tu]; [tu]= 'c': centuries, 'y': year, 'm': month,
620	'w': week, 'd': day, 'h': hour, 'i': minute, 's': second,
621	'l': milisecond
622	[tfmt]; desired format
623	[label]; label at the graph ('!' for spaces)
624	[mapv]: map characteristics: [proj],[res]
625	see full documentation: http://matplotlib.org/basemap/
626	[proj]: projection
627	* 'cyl', cilindric
628	* 'lcc', lamvbert conformal
629	[res]: resolution:
630	* 'c', crude
631	* 'l', low
632	* 'i', intermediate
633	* 'h', high
634	* 'f', full
635	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'
636	varn= [varsn],[varcn] name of the variable to plot with shading variable with contour
637	"""
638
639	fname = 'draw_2D_shad_cont_time'
640	if values == 'h':
641	print fname + '_____________________________________________________________'
642	print draw_2D_shad_cont_time.__doc__
643	quit()
644
645	expectargs = ['[vnamefs]', '[dimvals]', '[dimvalc]', '[dimxvn]', '[dimyvn]', \
646	'[colorbar]', '[ckind]', '[clabfmt]', '[sminv],[smaxv]', \
647	'[sminc],[smaxv],[Nlev]', '[figt]', '[kindfig]', '[reverse]', '[timevals]', \
648	'[mapv]']
649
650	drw.check_arguments(fname,len(expectargs),values,':',expectargs)
651
652	vnamesfig = values.split(':')[0].split(',')
653	dimvals= values.split(':')[1].replace('\|',':')
654	dimvalc= values.split(':')[2].replace('\|',':')
655	vdimxn = values.split(':')[3]
656	vdimyn = values.split(':')[4]
657	colbarn = values.split(':')[5]
658	countkind = values.split(':')[6]
659	countlabelfmt = values.split(':')[7]
660	shadminmax = values.split(':')[8]
661	contlevels = values.split(':')[9]
662	figtitle = values.split(':')[10].replace('\|',' ')
663	figkind = values.split(':')[11]
664	revals = values.split(':')[12]
665	timevals = values.split(':')[13]
666	mapvalue = values.split(':')[14]
667
668	if2filenames = ncfile.find(',')
669
670	if if2filenames != -1:
671	ncfiles = ncfile.split(',')[0]
672	ncfilec = ncfile.split(',')[1]
673	else:
674	ncfiles = ncfile
675	ncfilec = ncfile
676
677	if not os.path.isfile(ncfiles):
678	print errormsg
679	print ' ' + fname + ': shading file "' + ncfiles + '" does not exist !!'
680	quit(-1)
681
682	if not os.path.isfile(ncfilec):
683	print errormsg
684	print ' ' + fname + ': contour file "' + ncfilec + '" does not exist !!'
685	quit(-1)
686
687	objsf = NetCDFFile(ncfiles, 'r')
688	objcf = NetCDFFile(ncfilec, 'r')
689
690	varns = varn.split(',')[0]
691	varnc = varn.split(',')[1]
692
693	if not objsf.variables.has_key(varns):
694	print errormsg
695	print ' ' + fname + ': shading file "' + ncfiles + \
696	'" does not have variable "' + varns + '" !!'
697	quit(-1)
698
699	if not objcf.variables.has_key(varnc):
700	print errormsg
701	print ' ' + fname + ': contour file "' + ncfilec + \
702	'" does not have variable "' + varnc + '" !!'
703	quit(-1)
704
705	# Variables' values
706	objvars = objsf.variables[varns]
707	objvarc = objcf.variables[varnc]
708
709	if len(objvars.shape) != len(objvarc.shape):
710	print errormsg
711	print ' ' + fname + ': shading variable "' + varns + '" has a shape: ', \
712	objvars.shape, 'different than contour variable "' + varnc + '": ', \
713	objvarc.shape,' !!!'
714	quit(-1)
715
716	for idim in range(len(objvars.shape)):
717	if objvars.shape[idim] != objvarc.shape[idim]:
718	print errormsg
719	print ' ' + fname + ': shading variable "' + varns + '" has a shape: ', \
720	objvars.shape, 'different than contour variable "' + varnc + '": ', \
721	objvarc.shape,' !!!'
722	quit(-1)
723
724	valshad, dimsshad = drw.slice_variable(objvars, dimvals.replace(',','\|'))
725	valcont, dimscont = drw.slice_variable(objvarc, dimvalc.replace(',','\|'))
726
727	# Dimensions names
728	## print fname + ' obj dimnames: ', objvars.dimensions, dimvals, len(dimvals.split(','))
729	## dimnamesv = []
730	## for idd in range(len(objvars.dimensions)):
731	## cutdim = False
732	## for idc in range(len(dimvals.split(','))):
733	## dimcutn = dimvals.split(',')[idc].split(':')[0]
734	## print objvars.dimensions[idd], dimcutn
735	## if objvars.dimensions[idd] == dimcutn:
736	## cutdim = True
737	## break
738	## if not cutdim: dimnamesv.append(objvars.dimensions[idd])
739	dimnamesv = [vdimyn, vdimxn]
740
741	varunits = []
742	varunits.append(objvars.getncattr('units'))
743	varunits.append(objvarc.getncattr('units'))
744
745	if not objsf.variables.has_key(vdimxn):
746	print errormsg
747	print ' ' + fname + ': shading file "' + ncfiles + \
748	'" does not have dimension variable "' + vdimxn + '" !!'
749	quit(-1)
750	if not objsf.variables.has_key(vdimyn):
751	print errormsg
752	print ' ' + fname + ': shading file "' + ncfiles + \
753	'" does not have dimension variable "' + vdimyn + '" !!'
754	quit(-1)
755
756	timename = timevals.split('\|')[0]
757	timeunit = timevals.split('\|')[1].replace('!',' ')
758	timekind = timevals.split('\|')[2]
759	timefmt = timevals.split('\|')[3]
760	timelabel = timevals.split('\|')[4].replace('!',' ')
761
762	if vdimxn == timename:
763	timevals = objsf.variables[vdimxn][:]
764	timedims = objsf.variables[vdimxn].dimensions
765	dimt = 'x'
766	ovalaxis = objsf.variables[vdimyn]
767	ovalu = ovalaxis.getncattr('units')
768	elif vdimyn == timename:
769	timevals = objsf.variables[vdimyn][:]
770	timedims = objsf.variables[vdimyn].dimensions
771	dimt = 'y'
772	ovalaxis = objsf.variables[vdimxn]
773	ovalu = ovalaxis.getncattr('units')
774	else:
775	print errormsg
776	print ' ' + fname + ": time variable '" + timename + "' not found!!"
777	quit(-1)
778
779	timepos, timelabels = drw.CFtimes_plot(timevals, timeunit, timekind, timefmt)
780
781	# Getting only that dimensions with coincident names
782	dimnvx = ovalaxis.dimensions
783
784	cutslice = []
785	for idimn in dimsshad:
786	found = False
787	for dimsn in dimnvx:
788	if idimn == dimsn:
789	cutslice.append(slice(0,len(objsf.dimensions[idimn])))
790	found = True
791	if not found: cutslice.append(0)
792
793	ovalaxisv = ovalaxis[tuple(cutslice)]
794
795	## if len(ovalaxis.shape) <= 2:
796	## ovalaxisv = ovalaxis[:]
797
798	## elif len(ovalaxis.shape) == 3:
799	## ovalaxisv = ovalaxis[0,:]
800	## else:
801	## print errormsg
802	## print ' ' + fname + ': shape of dimension variable:', ovalaxis.shape, \
803	## ' not ready!!'
804	## quit(-1)
805
806	if countlabelfmt == 'None':
807	countlfmt = None
808	else:
809	countlfmt = countlabelfmt
810
811	shading_nx = np.zeros((2), dtype=np.float)
812	shading_nx[0] = np.float(shadminmax.split(',')[0])
813	shading_nx[1] = np.float(shadminmax.split(',')[1])
814
815	clevmin = np.float(contlevels.split(',')[0])
816	clevmax = np.float(contlevels.split(',')[1])
817	Nclevels = int(contlevels.split(',')[2])
818
819	levels_cont = drw.pretty_int(clevmin, clevmax, Nclevels)
820
821	if len(levels_cont) <= 1:
822	print warnmsg
823	print ' ' + fname + ': wrong contour levels:', levels_cont,' !!'
824	del(levels_cont)
825	levels_cont = np.zeros((Nclevels), dtype=np.float)
826	levels_cont = np.arange(7)*(clevmax - clevmin)/(Nclevels-1)
827	print ' generating default ones: ',levels_cont
828
829	if mapvalue == 'None': mapvalue = None
830
831	drw.plot_2D_shadow_contour_time(valshad, valcont, vnamesfig, ovalaxisv, \
832	timevals, timepos, timelabels, ovalu, timelabel, dimt, dimnamesv, colbarn, \
833	countkind, countlfmt, shading_nx, levels_cont, varunits, figtitle, figkind, \
834	revals, mapvalue)
835
836	return
837
838	def draw_2D_shad_line(ncfile, values, varn):
839	""" plotting a fields with shading and another with line
840	draw_2D_shad_line(ncfile, values, varn)
841	ncfile= [ncfiles],[ncfilel] file to use for the shading and for the line
842	values=[vnamefs],[vnamefl]:[dimvals]:[dimxvn]:[dimyvn]:[colorbar],[colline]:[sminv],[smaxv]:[figt]:
843	[kindfig]:[reverse]:[mapv]:[close]
844	[vnamefs]: Name in the figure of the variable to be shaded
845	[vnamefl]: Name in the figure of the variable to be lined
846	[dimvals]: ',' list of [dimname]\|[value] telling at which dimension of the
847	variable a given value is required (-1, all the length)
848	[dimx/yvn]: name of the variables with the values of the final dimensions (x,y)
849	[colorbar]: name of the color bar
850	[colline]: name of the color for the line
851	[smin/axv]: minimum and maximum value for the shading
852	[figt]: title of the figure ('\|' for spaces)
853	[kindfig]: kind of figure
854	[reverse]: Transformation of the values
855	* 'transpose': reverse the axes (x-->y, y-->x)
856	* 'flip'@[x/y]: flip the axis x or y
857	[mapv]: map characteristics: [proj],[res]
858	see full documentation: http://matplotlib.org/basemap/
859	[proj]: projection
860	* 'cyl', cilindric
861	* 'lcc', lamvbert conformal
862	[res]: resolution:
863	* 'c', crude
864	* 'l', low
865	* 'i', intermediate
866	* 'h', high
867	* 'f', full
868	valules= 'rh:z\|-1,x\|-1:z\|-1,x\|-1:lat:pressure:BuPu:0.,100.:rh:pdf:flip@y:None'
869	varn= [varsn],[varnl] name of the variable to plot with shading and with line
870	"""
871
872	fname = 'draw_2D_shad_line'
873	if values == 'h':
874	print fname + '_____________________________________________________________'
875	print draw_2D_shad_line.__doc__
876	quit()
877
878	farguments = ['[vnamefs],[vnamefl]', '[dimvals]', '[dimxvn]', '[dimyvn]', \
879	'[colorbar],[colline]', '[sminv],[smaxv]', '[figt]', '[kindfig]', '[reverse]', \
880	'[mapv]', '[close]']
881	drw.check_arguments(fname,11,values,':',farguments)
882
883	vnamesfig = values.split(':')[0].split(',')[0]
884	dimvals= values.split(':')[1].replace('\|',':')
885	vdimxn = values.split(':')[2]
886	vdimyn = values.split(':')[3]
887	colbarn = values.split(':')[4].split(',')[0]
888	shadminmax = values.split(':')[5]
889	figtitle = values.split(':')[6].replace('\|',' ')
890	figkind = values.split(':')[7]
891	revals = values.split(':')[8]
892	mapvalue = values.split(':')[9]
893	# varn = values.split(':')[10]
894
895	ncfiles = ncfile.split(',')[0]
896
897	if not os.path.isfile(ncfiles):
898	print errormsg
899	print ' ' + fname + ': shading file "' + ncfiles + '" does not exist !!'
900	quit(-1)
901
902	objsf = NetCDFFile(ncfiles, 'r')
903
904	varns = varn.split(',')[0]
905
906	if not objsf.variables.has_key(varns):
907	print errormsg
908	print ' ' + fname + ': shading file "' + ncfiles + \
909	'" does not have variable "' + varns + '" !!'
910	quit(-1)
911
912	# Variables' values
913	objvars = objsf.variables[varns]
914
915	valshad, dimsshad = drw.slice_variable(objvars, dimvals.replace(',','\|'))
916
917	# Dimensions names
918	## print fname + ' obj dimnames: ', objvars.dimensions, dimvals, len(dimvals.split(','))
919	## dimnamesv = []
920	## for idd in range(len(objvars.dimensions)):
921	## cutdim = False
922	## for idc in range(len(dimvals.split(','))):
923	## dimcutn = dimvals.split(',')[idc].split(':')[0]
924	## print objvars.dimensions[idd], dimcutn
925	## if objvars.dimensions[idd] == dimcutn:
926	## cutdim = True
927	## break
928	## if not cutdim: dimnamesv.append(objvars.dimensions[idd])
929	dimnamesv = [vdimyn, vdimxn]
930
931	varunits = objvars.getncattr('units')
932
933	if not objsf.variables.has_key(vdimxn):
934	print errormsg
935	print ' ' + fname + ': shading file "' + ncfiles + \
936	'" does not have dimension variable "' + vdimxn + '" !!'
937	quit(-1)
938	if not objsf.variables.has_key(vdimyn):
939	print errormsg
940	print ' ' + fname + ': shading file "' + ncfiles + \
941	'" does not have dimensino variable "' + vdimyn + '" !!'
942	quit(-1)
943
944	objdimx = objsf.variables[vdimxn]
945	objdimy = objsf.variables[vdimyn]
946	odimxu = objdimx.getncattr('units')
947	odimyu = objdimy.getncattr('units')
948
949	if len(objdimx.shape) <= 2:
950	# odimxv = objdimx[valshad.shape]
951	# odimyv = objdimy[valshad.shape]
952	odimxv = objdimx[:]
953	odimyv = objdimy[:]
954
955	elif len(objdimx.shape) == 3:
956	# dimcut = [0, slice(0,valshad.shape[0]), slice(0,valshad.shape[1])]
957	# odimxv = objdimx[tuple(dimcut)]
958	# odimyv = objdimy[tuple(dimcut)]
959	odimxv = objdimx[0,:]
960	odimyv = objdimy[0,:]
961	else:
962	print errormsg
963	print ' ' + fname + ': shape of dimension variable:', objdimx.shape, \
964	' not ready!!'
965	quit(-1)
966
967	shading_nx = np.zeros((2), dtype=np.float)
968	shading_nx[0] = np.float(shadminmax.split(',')[0])
969	shading_nx[1] = np.float(shadminmax.split(',')[1])
970
971	if mapvalue == 'None': mapvalue = None
972
973	# line plot
974	##
975	ncfilel = ncfile.split(',')[1]
976	vnamelfig = values.split(':')[0].split(',')[1]
977	varnl = varn.split(',')[1]
978	colline = values.split(':')[4].split(',')[1]
979
980	objlf = NetCDFFile(ncfilel,'r')
981	objlvar = objlf.variables[varnl]
982
983	linevals = objlvar[:]
984	varlunits = objlvar.units
985
986	drw.plot_2D_shadow_line(valshad, linevals, vnamesfig, vnamelfig, odimxv, odimyv, \
987	odimxu, odimyu, dimnamesv, colbarn, colline, shading_nx, varunits, varlunits, \
988	figtitle, figkind, revals, mapvalue, True)
989
990	objsf.close()
991	objlf.close()
992
993	return
994
995	def draw_2D_shad_line_time(ncfile, values, varn):
996	""" plotting a fields with shading and a line with time values
997	draw_2D_shad_line(ncfile, values, varn)
998	ncfile= [ncfiles],[ncfilel] files to use to draw with shading and the line
999	values= [vnamefs],[vanemefl]:[dimvals]:[dimxvn]:[dimyvn]:[colorbar]:[sminv],[smaxv]:[figt]:
1000	[kindfig]:[reverse]:[timevals]:[close]
1001	[vnamefs]: Name in the figure of the variable to be shaded
1002	[vnamefl]: Name in the figure of the variable to be lined
1003	[dimvals]: ',' list of [dimname]\|[value] telling at which dimension of the
1004	variable a given value is required (-1, all the length)
1005	[dimx/yvn]: name of the variables with the values of the final dimensions (x,y)
1006	[colorbar]: name of the color bar
1007	[smin/axv]: minimum and maximum value for the shading
1008	[figt]: title of the figure ('\|' for spaces)
1009	[kindfig]: kind of figure
1010	[reverse]: Transformation of the values
1011	* 'transpose': reverse the axes (x-->y, y-->x)
1012	* 'flip'@[x/y]: flip the axis x or y
1013	[timevals]: [timen]\|[units]\|[kind]\|[tfmt]\|[label]\|[timeaxis] time labels characteristics
1014	[timen]; name of the time variable
1015	[units]; units string according to CF conventions ([tunits] since
1016	[YYYY]-[MM]-[DD] [[HH]:[MI]:[SS]], '!' for spaces)
1017	[kind]; kind of output
1018	'Nval': according to a given number of values as 'Nval',[Nval]
1019	'exct': according to an exact time unit as 'exct',[tunit];
1020	tunit= [Nunits],[tu]; [tu]= 'c': centuries, 'y': year, 'm': month,
1021	'w': week, 'd': day, 'h': hour, 'i': minute, 's': second,
1022	'l': milisecond
1023	[tfmt]; desired format
1024	[label]; label at the graph ('!' for spaces)
1025	[close]: should figure be closed (finished)
1026	values='dtcon,prc:Time\|-1,bottom_top\|-1:presmean:time:seismic:-3.e-6,3.e-6:monthly\|'
1027	'dtcon:pdf:transpose:time\|hours!since!1949-12-01\|exct,2,d\|%d\|date!([DD])\|x:True
1028	varn= [varsn].[varln] name of the variable to plot with shading and to plot with line
1029	"""
1030	fname = 'draw_2D_shad_line_time'
1031	if values == 'h':
1032	print fname + '_____________________________________________________________'
1033	print draw_2D_shad__line_time.__doc__
1034	quit()
1035
1036	farguments = ['[vnamefs],[vanemefl]', '[dimvals]', '[dimxvn]', '[dimyvn]', \
1037	'[colorbar]', '[sminv],[smaxv]', '[figt]', '[kindfig]', '[reverse]', \
1038	'[timevals]', '[close]']
1039	drw.check_arguments(fname,11,values,':',farguments)
1040
1041	vnamesfig = values.split(':')[0].split(',')[0]
1042	dimvals= values.split(':')[1].replace('\|',':')
1043	vdimxn = values.split(':')[2]
1044	vdimyn = values.split(':')[3]
1045	colbarn = values.split(':')[4]
1046	shadminmax = values.split(':')[5]
1047	figtitle = values.split(':')[6].replace('\|',' ')
1048	figkind = values.split(':')[7]
1049	revals = values.split(':')[8]
1050	timevals = values.split(':')[9]
1051	close = values.split(':')[10]
1052
1053	ncfiles = ncfile.split(',')[0]
1054
1055	if not os.path.isfile(ncfiles):
1056	print errormsg
1057	print ' ' + fname + ': shading file "' + ncfiles + '" does not exist !!'
1058	quit(-1)
1059
1060	objsf = NetCDFFile(ncfiles, 'r')
1061
1062	varns = varn.split(',')[0]
1063
1064	if not objsf.variables.has_key(varns):
1065	print errormsg
1066	print ' ' + fname + ': shading file "' + ncfiles + \
1067	'" does not have variable "' + varns + '" !!'
1068	quit(-1)
1069
1070	# Variables' values
1071	objvars = objsf.variables[varns]
1072
1073	valshad, dimsshad = drw.slice_variable(objvars, dimvals.replace(',','\|'))
1074
1075	dimnamesv = [vdimyn, vdimxn]
1076
1077	varunits = objvars.getncattr('units')
1078
1079	if not objsf.variables.has_key(vdimxn):
1080	print errormsg
1081	print ' ' + fname + ': shading file "' + ncfiles + \
1082	'" does not have dimension variable "' + vdimxn + '" !!'
1083	quit(-1)
1084	if not objsf.variables.has_key(vdimyn):
1085	print errormsg
1086	print ' ' + fname + ': shading file "' + ncfiles + \
1087	'" does not have dimensino variable "' + vdimyn + '" !!'
1088	quit(-1)
1089
1090	objdimx = objsf.variables[vdimxn]
1091	objdimy = objsf.variables[vdimyn]
1092	odimxu = objdimx.getncattr('units')
1093	odimyu = objdimy.getncattr('units')
1094
1095	if len(objdimx.shape) <= 2:
1096	odimxv = objdimx[:]
1097	odimyv = objdimy[:]
1098
1099	elif len(objdimx.shape) == 3:
1100	odimxv = objdimx[0,:]
1101	odimyv = objdimy[0,:]
1102	else:
1103	print errormsg
1104	print ' ' + fname + ': shape of dimension variable:', objdimx.shape, \
1105	' not ready!!'
1106	quit(-1)
1107
1108	timename = timevals.split('\|')[0]
1109	timeunit = timevals.split('\|')[1].replace('!',' ')
1110	timekind = timevals.split('\|')[2]
1111	timefmt = timevals.split('\|')[3]
1112	timelabel = timevals.split('\|')[4].replace('!',' ')
1113
1114	if vdimxn == timename:
1115	odimxv = objsf.variables[vdimxn][:]
1116	odimxu = timelabel
1117	timeaxis = 'x'
1118	odimyv = objsf.variables[vdimyn]
1119	odimyu = odimyv.getncattr('units')
1120	timepos, timelabels = drw.CFtimes_plot(odimxv, timeunit, timekind, timefmt)
1121	elif vdimyn == timename:
1122	odimyv = objsf.variables[vdimyn][:]
1123	odimyu = timelabel
1124	timeaxis = 'y'
1125	odimxv = objsf.variables[vdimxn]
1126	odimxu = odimxv.getncattr('units')
1127	timepos, timelabels = drw.CFtimes_plot(odimyv, timeunit, timekind, timefmt)
1128	else:
1129	print errormsg
1130	print ' ' + fname + ": time variable '" + timename + "' not found!!"
1131	quit(-1)
1132
1133	shading_nx = np.zeros((2), dtype=np.float)
1134	shading_nx[0] = np.float(shadminmax.split(',')[0])
1135	shading_nx[1] = np.float(shadminmax.split(',')[1])
1136
1137	closeval = drw.Str_Bool(close)
1138
1139	drw.plot_2D_shadow_time(valshad, vnamesfig, odimxv, odimyv, odimxu, odimyu, \
1140	dimnamesv, colbarn, shading_nx, varunits, figtitle, figkind, revals, timeaxis, \
1141	timepos, timelabels, False)
1142
1143	# Line values
1144	##
1145	ncfilel = ncfile.split(',')[1]
1146
1147	vnamelfig = values.split(':')[0].split(',')[1]
1148	varnl = varn.split(',')[1]
1149
1150	objlf = NetCDFFile(ncfilel,'r')
1151	objlvar = objlf.variables[varnl]
1152
1153	linevals = objlvar[:]
1154	if reva0 == 'tranpose':
1155	plt.plot (linevals, odimxv, '-', color='k')
1156	else:
1157	plt.plot (odimxv, linevals, '-', color='k')
1158
1159	objsf.close()
1160	objsl.close()
1161
1162	return
1163
1164	def draw_topo_geogrid(ncfile, values):
1165	""" plotting geo_em.d[nn].nc topography from WPS files
1166	draw_topo_geogrid(ncfile, values)
1167	ncfile= geo_em.d[nn].nc file to use
1168	values= [minTopo],[maxTopo]:[lonlatL]:[title]:[graphic_kind]:[mapvalues]
1169	[min/max]Topo: minimum and maximum values of topography to draw
1170	lonlatL: limits of longitudes and latitudes [lonmin, latmin, lonmax, latmax] or None
1171	title: title of the graph
1172	graphic_kind: kind of figure (jpg, pdf, png)
1173	mapvalues: map characteristics [proj],[res]
1174	see full documentation: http://matplotlib.org/basemap/
1175	[proj]: projection
1176	* 'cyl', cilindric
1177	* 'lcc', lambert conformal
1178	[res]: resolution:
1179	* 'c', crude
1180	* 'l', low
1181	* 'i', intermediate
1182	* 'h', high
1183	* 'f', full
1184	"""
1185	fname = 'draw_topo_geogrid'
1186
1187	if values == 'h':
1188	print fname + '_____________________________________________________________'
1189	print draw_topo_geogrid.__doc__
1190	quit()
1191
1192	expectargs = ['[minTopo]','[maxTopo]', '[lonlatL]', '[title]', '[graphic_kind]', \
1193	'[mapvalues]']
1194
1195	drw.check_arguments(fname,5,values,':',expectargs)
1196
1197	mintopo = values.split(':')[0].split(',')[0]
1198	maxtopo = values.split(':')[0].split(',')[1]
1199
1200	lonlatLS = values.split(':')[1]
1201	lonlatLv = lonlatLS.split(',')[0]
1202
1203	if lonlatLv == 'None':
1204	lonlatL = None
1205	else:
1206	lonlatL = np.zeros((4), dtype=np.float)
1207	lonlatL[0] = np.float(lonlatLS.split(',')[0])
1208	lonlatL[1] = np.float(lonlatLS.split(',')[1])
1209	lonlatL[2] = np.float(lonlatLS.split(',')[2])
1210	lonlatL[3] = np.float(lonlatLS.split(',')[3])
1211
1212	grtit = values.split(':')[2]
1213	kindfig = values.split(':')[3]
1214	mapvalues = values.split(':')[4]
1215
1216	if not os.path.isfile(ncfile):
1217	print errormsg
1218	print ' ' + fname + ': domain file "' + ncfile + '" does not exist !!'
1219	quit(-1)
1220
1221	objdomf = NetCDFFile(ncfile, 'r')
1222
1223	objhgt = objdomf.variables['HGT_M']
1224	objlon = objdomf.variables['XLONG_M']
1225	objlat = objdomf.variables['XLAT_M']
1226
1227	topography = objhgt[0,:,:]
1228
1229	drw.plot_topo_geogrid(topography, objlon, objlat, mintopo, maxtopo, lonlatL, \
1230	grtit, kindfig, mapvalues, True)
1231
1232	objdomf.close()
1233
1234	return
1235
1236	def draw_topo_geogrid_boxes(ncfiles, values):
1237	""" plotting different geo_em.d[nn].nc topography from WPS files
1238	draw_topo_geogrid_boxes(ncfile, values)
1239	ncfiles= ',' list of geo_em.d[nn].nc files to use (fisrt as topographyc reference)
1240	values= [minTopo],[maxTopo]:[lonlatL]:[title]:[graphic_kind]:[mapvalues]:[labels]
1241	[min/max]Topo: minimum and maximum values of topography to draw
1242	lonlatL: limits of longitudes and latitudes [lonmin, latmin, lonmax, latmax] or None
1243	title: title of the graph
1244	graphic_kind: kind of figure (jpg, pdf, png)
1245	mapvalues: map characteristics [proj],[res]
1246	see full documentation: http://matplotlib.org/basemap/
1247	[proj]: projection
1248	* 'cyl', cilindric
1249	* 'lcc', lambert conformal
1250	[res]: resolution:
1251	* 'c', crude
1252	* 'l', low
1253	* 'i', intermediate
1254	* 'h', high
1255	* 'f', full
1256	labels= labels to write in the graph
1257	"""
1258	# import matplotlib as mpl
1259	# mpl.use('Agg')
1260	import matplotlib.pyplot as plt
1261
1262	fname = 'draw_topo_geogrid_boxes'
1263
1264	if values == 'h':
1265	print fname + '_____________________________________________________________'
1266	print draw_topo_geogrid_boxes.__doc__
1267	quit()
1268
1269	mintopo = values.split(':')[0].split(',')[0]
1270	maxtopo = values.split(':')[0].split(',')[1]
1271
1272	lonlatLS = values.split(':')[1]
1273	lonlatLv = lonlatLS.split(',')[0]
1274
1275	if lonlatLv == 'None':
1276	lonlatL = None
1277	else:
1278	lonlatL = np.zeros((4), dtype=np.float)
1279	lonlatL[0] = np.float(lonlatLS.split(',')[0])
1280	lonlatL[1] = np.float(lonlatLS.split(',')[1])
1281	lonlatL[2] = np.float(lonlatLS.split(',')[2])
1282	lonlatL[3] = np.float(lonlatLS.split(',')[3])
1283
1284	grtit = values.split(':')[2]
1285	kindfig = values.split(':')[3]
1286	mapvalues = values.split(':')[4]
1287	labels = values.split(':')[5]
1288
1289	ncfile = ncfiles.split(',')[0]
1290	if not os.path.isfile(ncfile):
1291	print errormsg
1292	print ' ' + fname + ': domain file "' + ncfile + '" does not exist !!'
1293	quit(-1)
1294
1295	objdomf = NetCDFFile(ncfile, 'r')
1296
1297	objhgt = objdomf.variables['HGT_M']
1298	objlon0 = objdomf.variables['XLONG_M']
1299	objlat0 = objdomf.variables['XLAT_M']
1300
1301	topography = objhgt[0,:,:]
1302
1303	Nfiles = len(ncfiles.split(','))
1304	boxlabels = labels.split(',')
1305
1306	Xboxlines = []
1307	Yboxlines = []
1308
1309	for ifile in range(Nfiles):
1310	ncfile = ncfiles.split(',')[ifile]
1311	# print ifile, ncfile
1312	if not os.path.isfile(ncfile):
1313	print errormsg
1314	print ' ' + fname + ': domain file "' + ncfile + '" does not exist !!'
1315	quit(-1)
1316
1317	objdomfi = NetCDFFile(ncfile, 'r')
1318
1319	objlon = objdomfi.variables['XLONG_M']
1320	objlat = objdomfi.variables['XLAT_M']
1321
1322	dx = objlon.shape[2]
1323	dy = objlon.shape[1]
1324
1325	Xboxlines.append(objlon[0,0,:])
1326	Yboxlines.append(objlat[0,0,:])
1327	Xboxlines.append(objlon[0,dy-1,:])
1328	Yboxlines.append(objlat[0,dy-1,:])
1329	Xboxlines.append(objlon[0,:,0])
1330	Yboxlines.append(objlat[0,:,0])
1331	Xboxlines.append(objlon[0,:,dx-1])
1332	Yboxlines.append(objlat[0,:,dx-1])
1333
1334	objdomfi.close()
1335
1336	drw.plot_topo_geogrid_boxes(topography, Xboxlines, Yboxlines, boxlabels, \
1337	objlon0, objlat0, mintopo, maxtopo, lonlatL, grtit, kindfig, mapvalues, True)
1338
1339	objdomf.close()
1340
1341	return
1342
1343	def movievalslice(origslice, dimmovien, framenum):
1344	""" Function to provide variable slice according to a geneation of a movie
1345	movievals(origslice, dimmovien, framenum)
1346	[origslice]= slice original as [dimname1]\|[val1],[...,[dimnameN]\|[valN]]
1347	([val] = -1, full length)
1348	[dimmovien]= name of the dimension to produce the movie
1349	[framenum]= value of the frame to substitue in [origslice] as
1350	[dimmovien]\|[framenum]
1351	>>> movievalslice('East_West\|-1,North_South\|-1,Time\|2','Time',0)
1352	East_West\|-1,North_South\|-1,Time\|0
1353	"""
1354
1355	fname = 'movievalslice'
1356
1357	if origslice == 'h':
1358	print fname + '_____________________________________________________________'
1359	print movievalslice.__doc__
1360	quit()
1361
1362	dims = origslice.split(',')
1363
1364	movieslice = ''
1365	idim = 0
1366
1367	for dimn in dims:
1368	dn = dimn.split('\|')[0]
1369	if dn == dimmovien:
1370	movieslice = movieslice + dn + '\|' + str(framenum)
1371	else:
1372	movieslice = movieslice + dimn
1373	if idim < len(dims)-1: movieslice = movieslice + ','
1374
1375	idim = idim + 1
1376
1377	return movieslice
1378
1379	class Capturing(list):
1380	""" Class to capture function output as a list
1381	from: http://stackoverflow.com/questions/16571150/how-to-capture-stdout-output-from-a-python-function-call
1382	"""
1383	# from cStringIO import StringIO
1384
1385	def __enter__(self):
1386	self._stdout = sys.stdout
1387	sys.stdout = self._stringio = StringIO()
1388	return self
1389	def __exit__(self, *args):
1390	self.extend(self._stringio.getvalue().splitlines())
1391	sys.stdout = self._stdout
1392
1393	def create_movie(netcdfile, values, variable):
1394	""" Function to create a movie assuming ImageMagick installed!
1395	values= [graph]#[movie_dimension]#[graph_values]
1396	[graph]: which graphic
1397	[movie_dimension]: [dimnmovie]@[dimvmovie]@[moviedelay]@[interval]
1398	[dimnmovie]; name of the dimension from which make the movie
1399	[dimvmovie]; name of the variable with the values of the dimension
1400	[moviedelay]; delay between frames
1401	[interval]; [beg]@[end]@[freq] or -1 (all)
1402	[graph_values]: values to generate the graphic
1403	netcdfile= netCDF file
1404	variable= variable to use (when applicable)
1405	"""
1406	fname = 'create_movie'
1407
1408	if values == 'h':
1409	print fname + '_____________________________________________________________'
1410	print create_movie.__doc__
1411	quit()
1412
1413	graph = values.split('#')[0]
1414	movie_dim = values.split('#')[1]
1415	graph_vals = values.split('#')[2]
1416
1417	ncobj = NetCDFFile(netcdfile, 'r')
1418
1419	# Movie dimension
1420	##
1421	dimnmovie = movie_dim.split('@')[0]
1422	dimvmovie = movie_dim.split('@')[1]
1423	moviedelay = movie_dim.split('@')[2]
1424	moviebeg = int(movie_dim.split('@')[3])
1425
1426	if not drw.searchInlist(ncobj.dimensions.keys(),dimnmovie):
1427	print errormsg
1428	print ' ' + fname + ": file '" + netcdfile + "' has not dimension '" + \
1429	dimnmovie + "' !!!"
1430	quit(-1)
1431
1432	objdmovie = ncobj.dimensions[dimnmovie]
1433	dmovie = len(objdmovie)
1434	if moviebeg != -1:
1435	moviend = int(movie_dim.split('@')[4])
1436	moviefreq = int(movie_dim.split('@')[5])
1437	else:
1438	moviebeg = 0
1439	moviend = dmovie
1440	moviefreq = 1
1441
1442	if dimvmovie == 'WRFTimes':
1443	objvdmovie = ncobj.variables['Times']
1444	vdmovieunits = ''
1445	valsdmovie = []
1446	for it in range(objvdmovie.shape[0]):
1447	valsdmovie.append(drw.datetimeStr_conversion(objvdmovie[it,:], \
1448	'WRFdatetime', 'Y/m/d H-M-S'))
1449	elif dimvmovie == 'CFtime':
1450	objvdmovie = ncobj.variables['time']
1451	vdmovieunits = ''
1452	print objvdmovie.units
1453	valsdmovie0 = drw.netCDFdatetime_realdatetime(objvdmovie.units, 'standard', \
1454	objvdmovie[:])
1455	valsdmovie = []
1456	for it in range(objvdmovie.shape[0]):
1457	valsdmovie.append(drw.datetimeStr_conversion(valsdmovie0[it,:], \
1458	'matYmdHMS', 'Y/m/d H-M-S'))
1459	else:
1460	if not drw.searchInlist(ncobj.variables.keys(),dimvmovie):
1461	print errormsg
1462	print ' ' + fname + ": file '" + netcdfile + "' has not variable '" + \
1463	dimvmovie + "' !!!"
1464	quit(-1)
1465	vdmovieunits = objvdmovie.getncattr('units')
1466	objvdmovie = ncobj.variables[dimvmovie]
1467	if len(objvdmovie.shape) == 1:
1468	vasldmovie = objvdmovie[:]
1469	else:
1470	print errormsg
1471	print ' ' + fname + ': shape', objvdmovie.shape, 'of variable with ' + \
1472	'dimension movie values not ready!!!'
1473	quit(-1)
1474
1475	ncobj.close()
1476	os.system('rm frame_*.png > /dev/null')
1477
1478	# graphic
1479	##
1480	if graph == 'draw_2D_shad':
1481	graphvals = graph_vals.split(':')
1482
1483	for iframe in range(moviebeg,moviend,moviefreq):
1484	iframeS = str(iframe).zfill(4)
1485
1486	drw.percendone((iframe-moviebeg)/moviefreq,(moviend-moviebeg)/moviefreq, \
1487	5, 'frames')
1488	titgraph = dimnmovie + '\|=\|' + str(valsdmovie[iframe]) + '\|' + \
1489	vdmovieunits
1490
1491	graphvals[1] = movievalslice(graphvals[1],dimnmovie,iframe)
1492	graphvals[6] = titgraph
1493	graphvals[7] = 'png'
1494
1495	graphv = drw.numVector_String(graphvals, ":")
1496
1497	with Capturing() as output:
1498	draw_2D_shad(netcdfile, graphv, variable)
1499
1500	os.system('mv 2Dfields_shadow.png frame_' + iframeS + '.png')
1501	else:
1502	print errormsg
1503	print ' ' + fname + ": graphic '" + graph + "' not defined !!!"
1504	quit(-1)
1505
1506	os.system('convert -delay ' + moviedelay + ' -loop 0 frame_*.png create_movie.gif')
1507
1508	print "Succesfuly creation of movie file 'create_movie.gif' !!!"
1509
1510	return
1511
1512	def draw_lines(ncfilens, values, varname):
1513	""" Function to draw different lines at the same time from different files
1514	draw_lines(ncfilens, values, varname):
1515	ncfilens= [filen] ',' separated list of netCDF files
1516	values= [dimvname]:[valuesaxis]:[dimtit]:[leglabels]:[vtit]:[title]:[locleg]:[graphk]
1517	[dimvname]: name of the variable with he values of the common dimension
1518	[valuesaxis]: which axis will be used for the values ('x', or 'y')
1519	[dimtit]: title for the common dimension
1520	[leglabels]: ',' separated list of names for the legend
1521	[vartit]: name of the variable in the graph
1522	[title]: title of the plot ('\|' for spaces)
1523	[locleg]: location of the legend (-1, autmoatic)
1524	1: 'upper right', 2: 'upper left', 3: 'lower left', 4: 'lower right',
1525	5: 'right', 6: 'center left', 7: 'center right', 8: 'lower center',
1526	9: 'upper center', 10: 'center'
1527	[graphk]: kind of the graphic
1528	varname= variable to plot
1529	values= 'XLAT:x:latitude:32x32:$wss^{*}$:wss Taylor's turbulence term:pdf'
1530	"""
1531
1532	fname = 'draw_lines'
1533
1534	if values == 'h':
1535	print fname + '_____________________________________________________________'
1536	print draw_lines.__doc__
1537	quit()
1538
1539	expectargs = '[dimvname]:[valuesaxis]:[dimtit]:[leglabels]:[vtit]:[title]:[locleg]:[graphk]'
1540	drw.check_arguments(fname,len(expectargs.split(':')),values,':',expectargs)
1541
1542	ncfiles = ncfilens.split(',')
1543	dimvname = values.split(':')[0]
1544	valuesaxis = values.split(':')[1]
1545	dimtit = values.split(':')[2]
1546	leglabels = values.split(':')[3].replace('_','\_')
1547	vartit = values.split(':')[4]
1548	title = values.split(':')[5].replace('\|',' ')
1549	graphk = values.split(':')[6]
1550
1551	Nfiles = len(ncfiles)
1552
1553	# Getting trajectotries
1554	##
1555
1556	varvalues = []
1557	dimvalues = []
1558
1559	print ' ' + fname
1560	ifn = 0
1561	for ifile in ncfiles:
1562	filen = ifile.split('@')[0]
1563
1564	print ' filen:',filen
1565
1566	if not os.path.isfile(filen):
1567	print errormsg
1568	print ' ' + fname + ": netCDF file '" + filen + "' does not exist !!"
1569	quit(-1)
1570
1571	objfile = NetCDFFile(filen, 'r')
1572
1573	if not objfile.variables.has_key(dimvname):
1574	print errormsg
1575	print ' ' + fname + ": netCDF file '" + filen + \
1576	"' does not have variable '" + dimvname + "' !!"
1577	quit(-1)
1578
1579	if not objfile.variables.has_key(varname):
1580	print errormsg
1581	print ' ' + fname + ": netCDF file '" + filen + \
1582	"' does not have variable '" + varname + "' !!"
1583	quit(-1)
1584
1585	vvobj = objfile.variables[varname]
1586	if len(vvobj.shape) != 1:
1587	print errormsg
1588	print ' ' + fname + ': wrong shape:',vvobj.shape," of variable '" + \
1589	varname + "' !!"
1590	quit(-1)
1591
1592	vdobj = objfile.variables[dimvname]
1593	if len(vdobj.shape) != 1:
1594	print errormsg
1595	print ' ' + fname + ': wrong shape:',vdobj.shape," of variable '" + \
1596	dimvname + "' !!"
1597	quit(-1)
1598
1599	varvalues.append(vvobj[:])
1600	dimvalues.append(vdobj[:])
1601
1602	if ifn == 0:
1603	varunits = vvobj.units
1604
1605	objfile.close()
1606
1607	ifn = ifn + 1
1608
1609
1610	drw.plot_lines(dimvalues, varvalues, valuesaxis, dimtit, leglabels.split(','), \
1611	vartit, varunits, title, graphk)
1612
1613	return
1614
1615	def draw_lines_time(ncfilens, values, varname):
1616	""" Function to draw different lines at the same time from different files with times
1617	draw_lines_time(ncfilens, values, varname):
1618	ncfilens= [filen] ',' separated list of netCDF files
1619	values= [dimvname];[valuesaxis];[dimtit];[leglabels];[vtit];[title];[timevals];[locleg];[graphk]
1620	[dimvname]: name of the variable with he values of the common dimension
1621	[valuesaxis]: which axis will be used for the values ('x', or 'y')
1622	[dimtit]: title for the common dimension
1623	[leglabels]: ',' separated list of names for the legend
1624	[vartit]: name of the variable in the graph
1625	[title]: title of the plot ('\|' for spaces)
1626	[timevals]: [timen]\|[units]\|[kind]\|[tfmt] time labels characteristics
1627	[timen]; name of the time variable
1628	[units]; units string according to CF conventions ([tunits] since
1629	[YYYY]-[MM]-[DD] [[HH]:[MI]:[SS]], '!' for spaces)
1630	[kind]; kind of output
1631	'Nval': according to a given number of values as 'Nval',[Nval]
1632	'exct': according to an exact time unit as 'exct',[tunit];
1633	tunit= [Nunits],[tu]; [tu]= 'c': centuries, 'y': year, 'm': month,
1634	'w': week, 'd': day, 'h': hour, 'i': minute, 's': second,
1635	'l': milisecond
1636	[tfmt]; desired format
1637	[locleg]: location of the legend (-1, autmoatic)
1638	1: 'upper right', 2: 'upper left', 3: 'lower left', 4: 'lower right',
1639	5: 'right', 6: 'center left', 7: 'center right', 8: 'lower center',
1640	9: 'upper center', 10: 'center'
1641	[graphk]: kind of the graphic
1642	varname= variable to plot
1643	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'
1644	"""
1645
1646	fname = 'draw_lines_time'
1647
1648	if values == 'h':
1649	print fname + '_____________________________________________________________'
1650	print draw_lines_time.__doc__
1651	quit()
1652
1653	expectargs = '[dimvname];[valuesaxis];[dimtit];[leglabels];[vtit];[title];'
1654	expectargs = expectargs + '[timevals];[locleg];[graphk]'
1655	drw.check_arguments(fname,len(expectargs.split(';')),values,';',expectargs)
1656
1657	ncfiles = ncfilens.split(',')
1658	dimvname = values.split(';')[0]
1659	valuesaxis = values.split(';')[1]
1660	dimtit = values.split(';')[2]
1661	leglabels = values.split(';')[3].replace('_','\_')
1662	vartit = values.split(';')[4]
1663	title = values.split(';')[5].replace('\|',' ')
1664	timevals = values.split(';')[6]
1665	locleg = int(values.split(';')[7])
1666	graphk = values.split(';')[8]
1667
1668	Nfiles = len(ncfiles)
1669
1670	# Getting values
1671	##
1672	varvalues = []
1673	dimvalues = []
1674	timvalues = []
1675	timvals0 = timvalues
1676
1677	print ' ' + fname
1678	ifn = 0
1679	mintval = 1.e20
1680	maxtval = -1.e20
1681
1682	for ifile in ncfiles:
1683	filen = ifile.split('@')[0]
1684
1685	print ' filen:',filen
1686
1687	if not os.path.isfile(filen):
1688	print errormsg
1689	print ' ' + fname + ": netCDF file '" + filen + "' does not exist !!"
1690	quit(-1)
1691
1692	objfile = NetCDFFile(filen, 'r')
1693
1694	if not objfile.variables.has_key(dimvname):
1695	print errormsg
1696	print ' ' + fname + ": netCDF file '" + filen + \
1697	"' does not have variable '" + dimvname + "' !!"
1698	quit(-1)
1699
1700	if not objfile.variables.has_key(varname):
1701	print errormsg
1702	print ' ' + fname + ": netCDF file '" + filen + \
1703	"' does not have variable '" + varname + "' !!"
1704	quit(-1)
1705
1706	vvobj = objfile.variables[varname]
1707	if len(vvobj.shape) != 1:
1708	print errormsg
1709	print ' ' + fname + ': wrong shape:',vvobj.shape," of variable '" + \
1710	varname + "' !!"
1711	quit(-1)
1712
1713	vdobj = objfile.variables[dimvname]
1714	if len(vdobj.shape) != 1:
1715	print errormsg
1716	print ' ' + fname + ': wrong shape:',vdobj.shape," of variable '" + \
1717	dimvname + "' !!"
1718	quit(-1)
1719
1720	varvalues.append(vvobj[:])
1721	dimvalues.append(vdobj[:])
1722
1723	mindvals = np.min(vdobj[:])
1724	maxdvals = np.max(vdobj[:])
1725
1726	if mindvals < mintval: mintval = mindvals
1727	if maxdvals > maxtval: maxtval = maxdvals
1728
1729	if ifn == 0:
1730	varunits = drw.units_lunits(vvobj.units)
1731
1732	objfile.close()
1733
1734	ifn = ifn + 1
1735
1736	# Times
1737	timename = timevals.split('\|')[0]
1738	timeunit = timevals.split('\|')[1].replace('!',' ')
1739	timekind = timevals.split('\|')[2]
1740	timefmt = timevals.split('\|')[3]
1741
1742	dtvals = (maxtval - mintval)/5.
1743	tvals = np.arange(mintval, maxtval, dtvals/2.)
1744
1745	timepos, timelabels = drw.CFtimes_plot(tvals, timeunit, timekind, timefmt)
1746
1747	drw.plot_lines_time(dimvalues, varvalues, valuesaxis, dimtit, leglabels.split(','), \
1748	vartit, varunits, timepos, timelabels, title, locleg, graphk)
1749
1750	return
1751
1752	def draw_Neighbourghood_evol(filen, values, variable):
1753	""" Function to draw the temporal evolution of a neighbourghood around a point
1754	draw_Neighbourghood_evol(filen, values, variable)
1755	filen= netCDF file name
1756	values= [gvarname]:[dimsval]:[neigdims]:[Nneig]:[Ncol]:[timetits]:[tkinds]:
1757	[timefmts]:[gtitle]:[shadxtrms]:[cbar]:[gkind]:[ofile]
1758	[dimsval]: [dimn1]\|[val1]\|[dimv1],...,[dimnN]\|[valN]\|[dimvN] dimension names, values to get
1759	(-1, for all; no name/value pair given full length) and variable with values of the dimension
1760	NOTE: when dimsval[X,Y] == neigdims[X,Y], valX,valY --> valX,valY-Nneig/2, valX,valY+Nneig/2
1761	[neigdims]: [dimnX],[dimnY] dimensions mnames along which the neigbourghood should be defined
1762	[Nneig]: Number of grid points of the full side of the box (odd value)
1763	[Ncol]: Number of columns ('auto': square final plot)
1764	[gvarname]: name of the variable to appear in the graph
1765	[timetits]: [titX],[titY] titles of the axes ('\|' for spaces)
1766	[tkinds]: [tkindX]\|[tkindY] kinds of time to appear in the graph
1767	'Nval': according to a given number of values as 'Nval',[Nval]
1768	'exct': according to an exact time unit as 'exct',[tunit];
1769	tunit= [Nunits],[tu]; [tu]= 'c': centuries, 'y': year, 'm': month,
1770	'w': week, 'd': day, 'h': hour, 'i': minute, 's': second,
1771	'l': milisecond
1772	[timefmts]: [tfmtX],[tfmtY] format of the time labels
1773	[gtitle]: title of the graphic ('\|' for spaces)
1774	[shadxtrms]: Extremes for the shading
1775	[cbar]: colorbar to use
1776	[gkind]: kind of graphical output
1777	[ofile]: True/False whether the netcdf with data should be created or not
1778	variable= name of the variable
1779	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'
1780	"""
1781
1782	fname = 'draw_Neighbourghood_evol'
1783
1784	if values == 'h':
1785	print fname + '_____________________________________________________________'
1786	print draw_Neighbourghood_evol.__doc__
1787	quit()
1788
1789	expectargs = ['[gvarname]', '[dimsval]', '[neigdims]', '[Nneig]', '[Ncol]', \
1790	'[timetits]', '[tkinds]', '[timefmts]', '[gtitle]', '[shadxtrms]', '[cbar]', \
1791	'[gkind]', '[ofile]']
1792
1793	drw.check_arguments(fname,len(expectargs),values,':',expectargs)
1794
1795	gvarname = values.split(':')[0]
1796	dimsval = values.split(':')[1].split(',')
1797	neigdims = values.split(':')[2].split(',')
1798	Nneig = int(values.split(':')[3])
1799	Ncol0 = values.split(':')[4]
1800	timetits = values.split(':')[5].split(',')
1801	timekinds = values.split(':')[6].split('\|')
1802	timefmts = values.split(':')[7].split(',')
1803	gtitle = values.split(':')[8].replace('\|',' ')
1804	shadxtrms = values.split(':')[9].split(',')
1805	cbar = values.split(':')[10]
1806	gkind = values.split(':')[11]
1807	ofile = values.split(':')[12]
1808
1809	if Ncol0 != 'auto':
1810	Ncol = int(Ncol0)
1811	else:
1812	Ncol = Ncol0
1813
1814	timetits[0] = timetits[0].replace('\|',' ')
1815	timetits[1] = timetits[1].replace('\|',' ')
1816
1817	if np.mod(Nneig,2) == 0:
1818	print errormsg
1819	print ' ' + fname + ": an odd value for 'Nneig':",Nneig,'is required !!!'
1820	quit(-1)
1821
1822	Nneig2 = int(Nneig/2)
1823
1824	# Values to slice the variable
1825	dimvslice = {}
1826	dimvvalues = {}
1827	for dimvs in dimsval:
1828	dimn = dimvs.split('\|')[0]
1829	dimv = int(dimvs.split('\|')[1])
1830	dimnv = dimvs.split('\|')[2]
1831
1832	dimvvalues[dimn] = dimnv
1833	dimvslice[dimn] = dimv
1834
1835	ncobj = NetCDFFile(filen, 'r')
1836
1837	varobj = ncobj.variables[variable]
1838
1839	slicevar = []
1840	newdimn = []
1841	newdimsvar = {}
1842
1843	for dimn in varobj.dimensions:
1844	if not drw.searchInlist(dimvslice.keys(), dimn):
1845	dimsize = len(ncobj.dimensions[dimn])
1846	slicevar.append(slice(0, dimsize+1))
1847	newdimn.append(dimn)
1848	newdimsvar[dimn] = dimseize
1849
1850	for dimslicen in dimvslice.keys():
1851	if dimn == dimslicen:
1852	if dimvslice[dimn] != -1:
1853	if drw.searchInlist(neigdims, dimn):
1854	slicevar.append(slice(dimvslice[dimn]-Nneig2, \
1855	dimvslice[dimn]+Nneig2+1))
1856	newdimn.append(dimn)
1857	newdimsvar[dimn] = Nneig
1858	break
1859	else:
1860	slicevar.append(slice(dimvslice[dimn], dimvslice[dimn]+1))
1861	break
1862	else:
1863	dimsize = len(ncobj.dimensions[dimn])
1864	slicevar.append(slice(0, dimsize+1))
1865	newdimn.append(dimn)
1866	newdimsvar[dimn] = dimsize
1867	break
1868
1869	varv = varobj[tuple(slicevar)]
1870
1871	if len(newdimn) != 3:
1872	print errormsg
1873	print ' ' + fname + ': sliced variable with shape=', varv.shape, \
1874	' must have three dimensions',len(varv.shape),'given !!'
1875	quit(-1)
1876
1877	newdims = []
1878	for nwdims in newdimn:
1879	newdims.append(newdimsvar[nwdims])
1880
1881	# The dimension which is not in the neighbourhood dimensions must be time!
1882	for dim1 in newdimn:
1883	if not drw.searchInlist(neigdims, dim1):
1884	dimt = newdimsvar[dim1]
1885	dimtime = dim1
1886
1887	if Ncol == 'auto':
1888	dimtsqx = int(np.sqrt(dimt)) + 1
1889	dimtsqy = int(np.sqrt(dimt)) + 1
1890	else:
1891	dimtsqx = int(Ncol)
1892	dimtsqy = dimt/dimtsqx + 1
1893
1894	neighbourghood = np.ones((dimtsqyNneig,dimtsqxNneig), dtype=np.float)*fillValue
1895
1896	for it in range(dimt):
1897	ity = int(it/dimtsqx)
1898	itx = it-ity*dimtsqx
1899
1900	itty = (dimtsqy - ity - 1)*Nneig + Nneig2
1901	ittx = itx*Nneig + Nneig2
1902
1903	neighbourghood[itty-Nneig2:itty+Nneig2+1,ittx-Nneig2:ittx+Nneig2+1]= \
1904	varv[it,::-1,:]
1905
1906	variablevals = drw.variables_values(variable)
1907	if drw.searchInlist(varobj.ncattrs(), 'units'):
1908	vunits = varobj.units
1909	else:
1910	vunits = variablevals[5]
1911
1912	# Time values at the X/Y axes
1913	if ncobj.variables[dimvvalues[dimtime]].dtype == '\|S1':
1914	print ' ' + fname + ': WRF time variable!'
1915	refdate = '19491201000000'
1916	tunitsval = 'hours'
1917	dimtvalues = np.zeros((dimt), dtype=np.float)
1918	tvals = ncobj.variables[dimvvalues[dimtime]]
1919	yrref=refdate[0:4]
1920	monref=refdate[4:6]
1921	dayref=refdate[6:8]
1922	horref=refdate[8:10]
1923	minref=refdate[10:12]
1924	secref=refdate[12:14]
1925
1926	refdateS = yrref + '/' + monref + '/' + dayref + '_' + horref + ':' + \
1927	minref + ':' + secref
1928	tunits = tunitsval + ' since ' + refdateS
1929	for it in range(dimt):
1930	wrfdates = drw.datetimeStr_conversion(tvals[it,:],'WRFdatetime', 'matYmdHMS')
1931	dimtvalues[it] = drw.realdatetime1_CFcompilant(wrfdates, refdate, tunitsval)
1932	else:
1933	dimtvalues = ncobj.variables[dimvvalues[dimtime]][:]
1934	tunits = ncobj.variables[newdimsvar[dimtime]].units
1935
1936	dimxv = dimtvalues[0:dimtsqx]
1937	dimyv = dimtvalues[0:dimt:dimtsqx]
1938
1939	dimn = ['time','time']
1940
1941	if ofile == 'True':
1942	ofilen = 'Neighbourghood_evol.nc'
1943	newnc = NetCDFFile(ofilen, 'w')
1944	# Dimensions
1945	newdim = newnc.createDimension('time',None)
1946	newdim = newnc.createDimension('y',dimtsqy*Nneig)
1947	newdim = newnc.createDimension('x',dimtsqx*Nneig)
1948	# Dimension values
1949	newvar = newnc.createVariable('time','f8',('time'))
1950	newvar[:] = np.arange(dimt)
1951	newattr = drw.basicvardef(newvar, 'time','time',tunits)
1952	# Neighbourhghood variable
1953	newvar = newnc.createVariable(variable + 'neigevol', 'f4', ('y','x'), \
1954	fill_value=fillValue)
1955	newvar[:] = neighbourghood
1956
1957	newnc.sync()
1958	newnc.close()
1959	print fname + ": Successfull generation of file '" + ofilen + "' !!"
1960
1961	# Time ticks
1962	timeposX, timelabelsX = drw.CFtimes_plot(dimxv, tunits, timekinds[0], timefmts[0])
1963	timeposY, timelabelsY = drw.CFtimes_plot(dimyv, tunits, timekinds[1], timefmts[1])
1964
1965	timepos = [timeposX[0:len(timeposX)], timeposY[len(timeposY):0:-1]]
1966	timelabels = [timelabelsX[0:len(timeposX)], timelabelsY[0:len(timeposY)]]
1967
1968	for i in range(2):
1969	if shadxtrms[i][0:1] != 'S':
1970	shadxtrms[i] = np.float(shadxtrms[i])
1971
1972	drw.plot_Neighbourghood_evol(neighbourghood, dimxv, dimyv, gvarname, timetits, \
1973	timepos, timelabels, cbar, Nneig, shadxtrms, vunits, gtitle, gkind, True)
1974
1975	def draw_timeSeries(filen, values, variables):
1976	""" Function to draw a time-series
1977	draw_timeSeries(filen, values, variable):
1978	filen= name of the file
1979	values= [gvarname]:[timetit]:[tkind]:[timefmt]:[title]:[locleg]:[gkind]
1980	[gvarname]: name of the variable to appear in the graph
1981	[timetit]: title of the time axis (assumed x-axis, '\|' for spaces)
1982	[tkind]: kind of time to appear in the graph (assumed x-axis)
1983	'Nval': according to a given number of values as 'Nval',[Nval]
1984	'exct': according to an exact time unit as 'exct',[tunit];
1985	tunit= [Nunits],[tu]; [tu]= 'c': centuries, 'y': year, 'm': month,
1986	'w': week, 'd': day, 'h': hour, 'i': minute, 's': second,
1987	'l': milisecond
1988	[timefmt]: format of the time labels
1989	[title]: title of the graphic ('\|' for spaces)
1990	[locleg]: location of the legend (-1, autmoatic)
1991	1: 'upper right', 2: 'upper left', 3: 'lower left', 4: 'lower right',
1992	5: 'right', 6: 'center left', 7: 'center right', 8: 'lower center',
1993	9: 'upper center', 10: 'center'
1994	[gkind]: kind of graphical output
1995	variables= [varname],[timename] names of variable and variable with times
1996	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')
1997	"""
1998
1999	fname = 'draw_timeSeries'
2000
2001	if values == 'h':
2002	print fname + '_____________________________________________________________'
2003	print draw_timeSeries.__doc__
2004	quit()
2005
2006	expectargs = ['[gvarname]', '[timetit]', '[tkind]', '[timefmt]', '[title]', \
2007	'[locleg]', '[gkind]']
2008
2009	drw.check_arguments(fname,len(expectargs),values,':',expectargs)
2010
2011	gvarname = values.split(':')[0]
2012	timetit = values.split(':')[1].replace('\|',' ')
2013	tkind = values.split(':')[2]
2014	timefmt = values.split(':')[3]
2015	title = values.split(':')[4].replace('\|',' ')
2016	locleg = int(values.split(':')[5])
2017	gkind = values.split(':')[6]
2018
2019	ncobj = NetCDFFile(filen, 'r')
2020
2021	variable = variables.split(',')[0]
2022	timevar = variables.split(',')[1]
2023
2024	if not ncobj.variables.has_key(variable):
2025	print errormsg
2026	print ' ' + fname + ": file '" + filen + "' does not have variable '" + \
2027	variable + "' !!"
2028	quit(-1)
2029
2030	if not ncobj.variables.has_key(timevar):
2031	print errormsg
2032	print ' ' + fname + ": file '" + filen + "' does not have variable time '" \
2033	+ timevar + "' !!"
2034	quit(-1)
2035
2036	varobj = ncobj.variables[variable]
2037	timeobj = ncobj.variables[timevar]
2038
2039	dimt = len(timeobj[:])
2040	varvals = np.zeros((2,dimt), dtype=np.float)
2041
2042	gunits = varobj.getncattr('units')
2043	tunits = timeobj.getncattr('units')
2044
2045	varvals[0,:], valpot, newgunits, Spot = drw.pot_values(varobj[:].flatten(), gunits)
2046	varvals[1,:] = timeobj[:]
2047
2048	tseriesvals = []
2049	tseriesvals.append(varvals)
2050
2051	drw.plot_TimeSeries(tseriesvals, Spot + drw.units_lunits(gunits), tunits, \
2052	'TimeSeries', gvarname, timetit, tkind, timefmt, title, \
2053	gvarname.replace('_','\_'), locleg, gkind)
2054
2055	return
2056
2057	#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')
2058
2059	def draw_trajectories(trjfilens, values, observations):
2060	""" Function to draw different trajectories at the same time
2061	draw_trajectories(trjfilens, values, observations):
2062	trjfilens= [filen]@[Tint]@[map] ',' separated list of files with trajectories,
2063	time intervals and reference maps (first one will be used to plot)
2064	[filen]: name of the file to use (lines with '#', not readed) as:
2065	[t-step] [x] [y]
2066	[Tint]: interval of time as [Tbeg]@[Tend] or -1 for all the interval
2067	[map]: [file]#[lonname]#[latname]
2068	[file]; with the [lon],[lat] matrices
2069	[lonname],[latname]; names of the longitudes and latitudes variables
2070	values=[leglabels]\|[lonlatlims]\|[title]\|[graphk]\|[mapkind]
2071	[leglabels]: ',' separated list of names for the legend
2072	[lonlatlims]: ',' list of limits of the map [lonmin, latmin, lonmax, latmax] or None
2073	[title]: title of the plot ('!' for spaces)
2074	[graphk]: kind of the graphic
2075	[mapkind]: drawing coastaline ([proj],[res]) or None
2076	[proj]: projection
2077	* 'cyl', cilindric
2078	* 'lcc', lambert conformal
2079	[res]: resolution:
2080	* 'c', crude
2081	* 'l', low
2082	* 'i', intermediate
2083	* 'h', high
2084	* 'f', full
2085	obsevations= [obsfile],[obsname],[Tint],[null]
2086	[obsfile]: name fo the File with the observations as [t-step] [lat] [lon]
2087	[obsname]: name of the observations in the graph
2088	[Tint]: interval of time as [Tbeg]@[Tend] or -1 for all the interval
2089	[null]: null value for the observed trajectory
2090	"""
2091
2092	fname = 'draw_trajectories'
2093
2094	if values == 'h':
2095	print fname + '_____________________________________________________________'
2096	print draw_trajectories.__doc__
2097	quit()
2098
2099	expectargs = '[leglabels]\|[lonlatlims]\|[title]\|[graphk]\|[mapkind]'
2100
2101	drw.check_arguments(fname,len(expectargs.split('\|')),values,'\|',expectargs)
2102
2103	trjfiles = trjfilens.split(',')
2104	leglabels = values.split('\|')[0]
2105	lonlatlims = values.split('\|')[1]
2106	title = values.split('\|')[2].replace('!',' ')
2107	graphk = values.split('\|')[3]
2108	mapkind = values.split('\|')[4]
2109
2110	Nfiles = len(trjfiles)
2111
2112	# Getting trajectotries
2113	##
2114
2115	lontrjvalues = []
2116	lattrjvalues = []
2117
2118	print ' ' + fname
2119	ifn = 0
2120	for ifile in trjfiles:
2121	filen = ifile.split('@')[0]
2122	Tint = ifile.split('@')[1]
2123
2124	print ' trajectory:',filen
2125
2126	if Tint != '-1':
2127	Tbeg = Tint
2128	Tend = ifile.split('@')[2]
2129	mapv = ifile.split('@')[3]
2130	else:
2131	mapv = ifile.split('@')[2]
2132
2133	if not os.path.isfile(filen):
2134	print errormsg
2135	print ' ' + fname + ": trajectory file '" + filen + "' does not exist !!"
2136	quit(-1)
2137
2138	# Charging longitude and latitude values
2139	##
2140	lonvals, latvals = drw.lonlat_values(mapv.split('#')[0], mapv.split('#')[1], \
2141	mapv.split('#')[2])
2142
2143	if ifn == 0: mapref = mapv
2144	ifn = ifn + 1
2145
2146	objfile = open(filen, 'r')
2147	trjtimev = []
2148	trjxv = []
2149	trjyv = []
2150
2151	for line in objfile:
2152	if line[0:1] != '#':
2153	trjtimev.append(int(line.split(' ')[0]))
2154	trjxv.append(int(line.split(' ')[1]))
2155	trjyv.append(int(line.split(' ')[2]))
2156
2157	objfile.close()
2158
2159	if Tint != '-1':
2160	lontrjvalues.append(lonvals[trjyv[Tint:Tend+1], trjxv[Tint:Tend+1]])
2161	lattrjvalues.append(latvals[trjyv[Tint:Tend+1], trjxv[Tint:Tend+1]])
2162	else:
2163	lontrjvalues.append(lonvals[trjyv[:], trjxv[:]])
2164	lattrjvalues.append(latvals[trjyv[:], trjxv[:]])
2165
2166	# lonlatlimits
2167	##
2168
2169	if lonlatlims == 'None':
2170	lonlatlimsv = None
2171	else:
2172	lonlatlimsv = np.zeros((4), dtype=np.float)
2173	lonlatlimsv[0] = np.float(lonlatlims.split(',')[0])
2174	lonlatlimsv[1] = np.float(lonlatlims.split(',')[1])
2175	lonlatlimsv[2] = np.float(lonlatlims.split(',')[2])
2176	lonlatlimsv[3] = np.float(lonlatlims.split(',')[3])
2177
2178	# lon/lat objects
2179	##
2180	objnc = NetCDFFile(mapref.split('#')[0])
2181	lonobj = objnc.variables[mapref.split('#')[1]]
2182	latobj = objnc.variables[mapref.split('#')[2]]
2183
2184	# map
2185	##
2186	if mapkind == 'None':
2187	mapkindv = None
2188	else:
2189	mapkindv = mapkind
2190
2191	if observations is None:
2192	obsname = None
2193	else:
2194	obsfile = observations.split(',')[0]
2195	obsname = observations.split(',')[1]
2196	Tint = observations.split(',')[2]
2197	null = np.float(observations.split(',')[3])
2198	print ' observational trajectory:',obsfile
2199
2200	if not os.path.isfile(obsfile):
2201	print errormsg
2202	print ' ' + fname + ": observations trajectory file '" + obsfile + \
2203	"' does not exist !!"
2204	quit(-1)
2205
2206	objfile = open(obsfile, 'r')
2207	obstrjtimev = []
2208	obstrjxv = []
2209	obstrjyv = []
2210
2211	for line in objfile:
2212	if line[0:1] != '#':
2213	lon = np.float(line.split(' ')[2])
2214	lat = np.float(line.split(' ')[1])
2215	if not lon == null and not lat == null:
2216	obstrjtimev.append(int(line.split(' ')[0]))
2217	obstrjxv.append(lon)
2218	obstrjyv.append(lat)
2219	else:
2220	obstrjtimev.append(int(line.split(' ')[0]))
2221	obstrjxv.append(None)
2222	obstrjyv.append(None)
2223
2224	objfile.close()
2225
2226	if Tint != '-1':
2227	Tint = int(observations.split(',')[2].split('@')[0])
2228	Tend = int(observations.split(',')[2].split('@')[1])
2229	lontrjvalues.append(obstrjxv[Tint:Tend+1])
2230	lattrjvalues.append(obstrjyv[Tint:Tend+1])
2231	else:
2232	lontrjvalues.append(obstrjxv[:])
2233	lattrjvalues.append(obstrjyv[:])
2234
2235	drw.plot_Trajectories(lontrjvalues, lattrjvalues, leglabels.split(','), \
2236	lonobj, latobj, lonlatlimsv, title, graphk, mapkindv, obsname)
2237
2238	objnc.close()
2239
2240	return
2241
2242	def draw_vals_trajectories(ncfile, values, variable):
2243	""" Function to draw values from the outputs from 'compute_tevolboxtraj'
2244	draw_vals_trajectories(ncfile, values, variable)
2245	ncfile= [ncfile] ',' list of files to use
2246	values= [statistics]:[Tint]:[labels]@[locleg]:[gvarname]:[timetit]:[tkind]:[timefmt]:[title]:[gkind]
2247	[statistics]: which statistics to use, from: 'center', 'min', 'max', 'mean',
2248	'mean2', 'stdev'
2249	[Tint]: [Tbeg]@[Tend] or None, interval of time to plot or -1 for all the times
2250	[labels]: ',' separated list of labels for the legend
2251	[locleg]: location of the legend (-1, autmoatic)
2252	1: 'upper right', 2: 'upper left', 3: 'lower left', 4: 'lower right',
2253	5: 'right', 6: 'center left', 7: 'center right', 8: 'lower center',
2254	9: 'upper center', 10: 'center'
2255	[gvarname]: name of the variable to appear in the graph
2256	[timetit]: title of the time axis (assumed x-axis, '\|' for spaces)
2257	[tkind]: kind of time to appear in the graph (assumed x-axis)
2258	'Nval': according to a given number of values as 'Nval',[Nval]
2259	'exct': according to an exact time unit as 'exct',[tunit];
2260	tunit= [Nunits],[tu]; [tu]= 'c': centuries, 'y': year, 'm': month,
2261	'w': week, 'd': day, 'h': hour, 'i': minute, 's': second,
2262	'l': milisecond
2263	[timefmt]: format of the time labels
2264	[title]: title of the graphic ('\|' for spaces)
2265	[gkind]: kind of graphical output
2266	variable= variable to use
2267	"""
2268
2269	fname = 'draw_vals_trajectories'
2270
2271	if values == 'h':
2272	print fname + '_____________________________________________________________'
2273	print draw_vals_trajectories.__doc__
2274	quit()
2275
2276	sims = ncfile.split(',')
2277
2278	if len(values.split(':')) != 9:
2279	print errormsg
2280	print ' ' + fname + ': wrong number of values!', len(values.split(':')), \
2281	'given 9 needed!!'
2282	print ' ',values.split(':')
2283	quit(-1)
2284
2285	statistics = values.split(':')[0]
2286	Tint = values.split(':')[1]
2287	labels = values.split(':')[2]
2288	gvarname = values.split(':')[3]
2289	timetit = values.split(':')[4].replace('\|',' ')
2290	tkind = values.split(':')[5]
2291	timefmt = values.split(':')[6]
2292	title = values.split(':')[7].replace('\|',' ')
2293	gkind = values.split(':')[8]
2294
2295	leglabels = labels.split('@')[0].split(',')
2296	locleg = int(labels.split('@')[1])
2297
2298	Nsims = len(sims)
2299
2300	if Tint != '-1':
2301	tini = np.float(Tint.split('@')[0])
2302	tend = np.float(Tint.split('@')[1])
2303	else:
2304	tini = -1.
2305	tend = -1.
2306
2307	vartimetrjv = []
2308
2309	print ' ' + fname
2310	for trjfile in sims:
2311	print ' ' + trjfile + ' ...'
2312	if not os.path.isfile(trjfile):
2313	print errormsg
2314	print ' ' + fname + ": trajectory file: '" + trjfile + \
2315	"' does not exist !!"
2316	quit(-1)
2317
2318	trjobj = NetCDFFile(trjfile, 'r')
2319	otim = trjobj.variables['time']
2320	if not trjobj.variables.has_key(statistics + 'box_' + variable):
2321	print errormsg
2322	print ' ' + fname + ": file '" + trjfile + "' does not have variable '"+\
2323	statistics + 'box_' + variable + "' !!"
2324	quit(-1)
2325	ovar = trjobj.variables[statistics + 'box_' + variable]
2326	dimt = otim.shape[0]
2327
2328	if trjfile == sims[0]:
2329	gunits = ovar.getncattr('units')
2330	lname = ovar.getncattr('long_name')
2331	tunits = otim.getncattr('units')
2332
2333	if tini != -1:
2334	tiniid = -1
2335	tendid = -1
2336	for itv in range(dimt):
2337	if otim[itv] <= tini and otim[itv+1] >= tini: tiniid = itv
2338	if otim[itv] <= tend and otim[itv+1] >= tend: tendid = itv
2339
2340	if tiniid == -1 or tendid == -1:
2341	print errormsg
2342	print ' ' + main + ' time interval ', tini,',',tend,' not found: ', \
2343	tendid, ',', tiniid, ' !!'
2344	print ' data interval [',otim[0], otim[dimt-1],']'
2345	quit(-1)
2346	dimt = tendid - tiniid + 1
2347
2348	else:
2349	dimt = otim.shape[0]
2350
2351	valsv = np.zeros((2,dimt), dtype=np.float)
2352
2353	if tini == -1:
2354	valsv[1,:] = otim[:]
2355	valsv[0,:] = ovar[:]
2356	else:
2357	valsv[1,:] = otim[tiniid:tendid+1]
2358	valsv[0,:] = ovar[tiniid:tendid+1]
2359
2360	vartimetrjv.append(valsv)
2361	trjobj.close()
2362
2363	drw.plot_TimeSeries(vartimetrjv, drw.units_lunits(gunits), tunits, \
2364	'val_trajectories_' + statistics, gvarname, timetit, tkind, timefmt, title, \
2365	leglabels, locleg, gkind)
2366
2367	def variable_values(values):
2368	""" Function to give back values for a given variable
2369	values= [varname] name of the variable
2370	"""
2371
2372	fname = 'variable_values'
2373
2374	values = drw.variables_values(values)
2375
2376	print fname,'values:',values
2377	print fname,'variable_name:',values[0]
2378	print fname,'standard_name:',values[1]
2379	print fname,'min,max:',str(values[2]) + ',' + str(values[3])
2380	print fname,'long_name:',values[4]
2381	print fname,'units:',values[5]
2382	print fname,'shad_colors:',values[6]
2383	print fname,'all_values:',drw.numVector_String(values,',')
2384
2385	return
2386
2387	####### ###### ##### #### ### ## #
2388
2389	ngraphics = "'" + drw.numVector_String(namegraphics, "', '") + "'"
2390
2391	### Options
2392	##string_operation="operation to make: " + '\n' + " out, output values -S inidim1,[inidim2,...]:enddim1,[enddim2,...]"
2393	string_operation="""operation to make:
2394	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]
2395	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]
2396	[ckind]:
2397	'cmap': as it gets from colorbar
2398	'fixc,[colname]': fixed color [colname], all stright lines
2399	'fixsignc,[colname]': fixed color [colname], >0 stright, <0 dashed line
2400	"""
2401
2402	#print string_operation
2403
2404	parser = OptionParser()
2405	parser.add_option("-f", "--netCDF_file", dest="ncfile",
2406	help="file to use", metavar="FILE")
2407	parser.add_option("-o", "--operation", type='choice', dest="operation",
2408	choices=namegraphics,
2409	help="operation to make: " + ngraphics, metavar="OPER")
2410	parser.add_option("-S", "--valueS", dest="values",
2411	help="[WHEN APPLICABLE] values to use according to the operation", metavar="VALUES")
2412	parser.add_option("-v", "--variable", dest="varname",
2413	help="[WHEN APPLICABLE] variable to check", metavar="VAR")
2414
2415	(opts, args) = parser.parse_args()
2416
2417	####### #######
2418	## MAIN
2419	#######
2420
2421	# Not checking file operation
2422	Notcheckingfile = ['draw_2D_shad_cont', 'draw_2D_shad_cont_time', \
2423	'draw_2D_shad_line', 'draw_2D_shad_line_time', 'draw_lines', 'draw_lines_time', \
2424	'draw_topo_geogrid_boxes', 'draw_trajectories', 'draw_vals_trajectories', \
2425	'variable_values']
2426
2427	####### ###### ##### #### ### ## #
2428	errormsg='ERROR -- error -- ERROR -- error'
2429
2430	varn=opts.varname
2431	oper=opts.operation
2432
2433	if opts.ncfile is not None and not os.path.isfile(opts.ncfile) and \
2434	not drw.searchInlist(Notcheckingfile, oper):
2435	print errormsg
2436	print ' ' + main + ': File ' + opts.ncfile + ' does not exist !!'
2437	quit(-1)
2438
2439	if oper == 'create_movie':
2440	create_movie(opts.ncfile, opts.values, opts.varname)
2441	elif oper == 'draw_2D_shad':
2442	draw_2D_shad(opts.ncfile, opts.values, opts.varname)
2443	elif oper == 'draw_2D_shad_time':
2444	draw_2D_shad_time(opts.ncfile, opts.values, opts.varname)
2445	elif oper == 'draw_2D_shad_cont':
2446	draw_2D_shad_cont(opts.ncfile, opts.values, opts.varname)
2447	elif oper == 'draw_2D_shad_cont_time':
2448	draw_2D_shad_cont_time(opts.ncfile, opts.values, opts.varname)
2449	elif oper == 'draw_2D_shad_line':
2450	draw_2D_shad_line(opts.ncfile, opts.values, opts.varname)
2451	elif oper == 'draw_2D_shad_line_time':
2452	draw_2D_shad_line_time(opts.ncfile, opts.values, opts.varname)
2453	elif oper == 'draw_Neighbourghood_evol':
2454	draw_Neighbourghood_evol(opts.ncfile, opts.values, opts.varname)
2455	elif oper == 'draw_lines':
2456	draw_lines(opts.ncfile, opts.values, opts.varname)
2457	elif oper == 'draw_lines_time':
2458	draw_lines_time(opts.ncfile, opts.values, opts.varname)
2459	elif oper == 'draw_timeSeries':
2460	draw_timeSeries(opts.ncfile, opts.values, opts.varname)
2461	elif oper == 'draw_topo_geogrid':
2462	draw_topo_geogrid(opts.ncfile, opts.values)
2463	elif oper == 'draw_topo_geogrid_boxes':
2464	draw_topo_geogrid_boxes(opts.ncfile, opts.values)
2465	elif oper == 'draw_trajectories':
2466	draw_trajectories(opts.ncfile, opts.values, opts.varname)
2467	elif oper == 'draw_vals_trajectories':
2468	draw_vals_trajectories(opts.ncfile, opts.values, opts.varname)
2469	elif oper == 'list_graphics':
2470	# From: http://www.diveintopython.net/power_of_introspection/all_together.html
2471	import drawing as myself
2472	object = myself
2473	for opern in namegraphics:
2474	if opern != 'list_graphics':
2475	print opern + '_______ ______ _____ ____ ___ __ _'
2476	print getattr(object, opern).__doc__
2477	elif oper == 'variable_values':
2478	variable_values(opts.values)
2479	else:
2480	print errormsg
2481	print ' ' + main + ": the graphic '" + oper + "' is not ready !!"
2482	print errormsg
2483	quit()

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