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source: trunk/UTIL/PYTHON/planetoplot.py @ 704

Last change on this file since 704 was 701, checked in by acolaitis, 13 years ago
PYTHON. Added possibility to call for variable <<-v enfact>> - enrichment factor - given that you have co2, ap, bp and ps fields in your file. This will give you the enrichment factor of non condensible gases, ranging from 0 (no enrichment) to X (enrichment by a factor X compared to the mean non condensible gases mass mixing ratio (which is also computed for the relevant time step)).
Property svn:executable set to ``*
File size: 48.1 KB

Rev	Line
[349]	1	#######################
	2	##### PLANETOPLOT #####
	3	#######################
[345]	4
[349]	5	### A. Spiga -- LMD -- 06~09/2011 -- General building and mapping capabilities
	6	### T. Navarro -- LMD -- 10~11/2011 -- Improved use for GCM and added sections + 1Dplot capabilities
[392]	7	### A. Colaitis -- LMD -- 11/2011 -- Mostly minor improvements and inter-plot operation capabilities + zrecast interpolation for gcm
[448]	8	### A. Spiga -- LMD -- 11~12/2011 -- Extended multivar subplot capabilities + cosmetic changes + general cleaning and tests
[435]	9	### A. Colaitis -- LMD -- 12/2011 -- Added movie capability [mencoder must be installed]
[475]	10	### A. Spiga -- LMD -- 12/2011 -- Added HTML animated page capability + general tests of consistency [winds, etc...] + consistent generic movie loop
[525]	11	### J. Leconte -- LMD -- 02/2012 -- Added area weighted averaging. Compatibility with terrestrial gcm.
[579]	12	### A. Spiga -- LMD -- 03/2012 -- Cleaning and improved comments
[345]	13	def planetoplot (namefiles,\
[351]	14	level=0,\
[350]	15	vertmode=0,\
[345]	16	proj=None,\
	17	back=None,\
	18	target=None,
	19	stride=3,\
	20	var=None,\
	21	colorb="def",\
[399]	22	winds=False,\
[345]	23	addchar=None,\
	24	interv=[0,1],\
	25	vmin=None,\
	26	vmax=None,\
	27	tile=False,\
	28	zoom=None,\
	29	display=True,\
	30	hole=False,\
	31	save="gui",\
	32	anomaly=False,\
	33	var2=None,\
	34	ndiv=10,\
	35	mult=1.,\
[578]	36	zetitle=["fill"],\
[345]	37	slon=None,\
	38	slat=None,\
	39	svert=None,\
[359]	40	stime=None,\
	41	outputname=None,\
	42	resolution=200,\
	43	ope=None,\
	44	fileref=None,\
	45	minop=0.,\
	46	maxop=0.,\
[363]	47	titleref="fill",\
[369]	48	invert_y=False,\
	49	xaxis=[None,None],\
[372]	50	yaxis=[None,None],\
[382]	51	ylog=False,\
[385]	52	yintegral=False,\
[388]	53	blat=None,\
[451]	54	blon=None,\
[418]	55	tsat=False,\
[430]	56	flagnolow=False,\
[444]	57	mrate=None,\
[453]	58	mquality=False,\
[457]	59	trans=1,\
[468]	60	zarea=None,\
[483]	61	axtime=None,\
[502]	62	redope=None,\
[507]	63	seevar=False,\
[502]	64	xlab=None,\
[569]	65	ylab=None,\
[612]	66	lbls=None,\
	67	lstyle=None,\
[647]	68	cross=None,\
	69	streamflag=False):
[345]	70
	71	####################################################################################################################
	72	### Colorbars http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps?action=AttachFile&do=get&target=colormaps3.png
	73
	74	#################################
	75	### Load librairies and functions
	76	from netCDF4 import Dataset
	77	from myplot import getcoord2d,define_proj,makeplotres,simplinterv,vectorfield,ptitle,latinterv,getproj,wrfinterv,dumpbdy,\
	78	fmtvar,definecolorvec,defcolorb,getprefix,putpoints,calculate_bounds,errormess,definesubplot,\
	79	zoomset,getcoorddef,getwinddef,whatkindfile,reducefield,bounds,getstralt,getfield,smooth,nolow,\
[612]	80	getname,localtime,check_localtime,polarinterv,getsindex,define_axis,determineplot,readslices,bidimfind,getlschar,hole_bounds,\
[701]	81	windamplitude,slopeamplitude,deltat0t1,enrichment_factor
[430]	82	from mymath import deg,max,min,mean,get_tsat,writeascii,fig2data,fig2img
[363]	83	import matplotlib as mpl
[640]	84	from matplotlib.pyplot import contour,contourf,hist, text,subplot, figure, rcParams, savefig, colorbar, pcolor, show, plot, clabel, title, close, legend, xlabel, axis, ylabel, subplots_adjust, axes, clabel
[345]	85	from matplotlib.cm import get_cmap
[490]	86	#from mpl_toolkits.basemap import cm
[345]	87	import numpy as np
	88	from numpy.core.defchararray import find
[430]	89	from videosink import VideoSink
[673]	90	from times import sol2ls
[444]	91	import subprocess
[490]	92	#from singlet import singlet
[587]	93	from itertools import cycle
[647]	94	import os
[359]	95
[579]	96	#########################
	97	### PRELIMINARY STUFF ###
	98	#########################
	99	### we say hello
[392]	100	print "********************************************"
	101	print "******** WELCOME TO PLANETOPLOT ********"
	102	print "********************************************"
[579]	103	### we ensure namefiles and var are arrays
[392]	104	if not isinstance(namefiles, np.ndarray): namefiles = [namefiles]
	105	if not isinstance(var, np.ndarray): var = [var]
[579]	106	### we initialize a few variables
	107	initime=-1 ; sslon = None ; sslat = None
[582]	108	if slon is not None: sslon = np.zeros([1,2])
	109	if slat is not None: sslat = np.zeros([1,2])
[579]	110	k = 0 ; firstfile = True ; count = 0
	111	### we avoid specific cases not yet implemented
	112	if mrate is not None and len(var) > 1: errormess("multivar not allowed in movies. should be fixed soon!")
	113	### we prepare number of plot fields [zelen] and plot instances [numplot] according to user choices
	114	### --> we support multifile and multivar plots : files + vars separated by commas are on the same figure
[349]	115	nlon, nlat, nvert, ntime, mapmode, nslices = determineplot(slon, slat, svert, stime)
[392]	116	zelen = len(namefiles)*len(var)
[424]	117	numplot = zelen*nslices
[392]	118	print "********** FILES, SLICES, VARS, TOTAL PLOTS: ", len(namefiles), nslices, len(var), numplot
[579]	119	print "********** MAPMODE: ", mapmode
	120	### we correct number of plot fields for possible operation (substract, etc...)
[423]	121	if ope is not None:
	122	if fileref is not None: zelen = zelen + 2
	123	elif "var" in ope: zelen = zelen + 1
[579]	124	### we define the arrays for plot fields -- which will be placed within multiplot loops
	125	all_var = [[]]zelen ; all_var2 = [[]]zelen
	126	all_title = [[]]zelen ; all_varname = [[]]zelen ; all_namefile = [[]]zelen ; all_time = [[]]zelen
	127	all_windu = [[]]zelen ; all_windv = [[]]zelen
[392]	128
[579]	129	#############################
	130	### LOOP OVER PLOT FIELDS ###
	131	#############################
[392]	132	for nnn in range(len(namefiles)):
	133	for vvv in range(len(var)):
	134
[579]	135	### we load each NETCDF objects in namefiles
[468]	136	namefile = namefiles[nnn]
[345]	137	nc = Dataset(namefile)
[579]	138	### we explore the variables in the file
[507]	139	varinfile = nc.variables.keys()
	140	if seevar: print varinfile ; exit()
[579]	141	### we define the type of file we have (gcm, meso, etc...)
[507]	142	typefile = whatkindfile(nc)
[579]	143	if firstfile: typefile0 = typefile
	144	elif typefile != typefile0: errormess("Not the same kind of files !", [typefile0, typefile])
	145	### we care for input file being 1D simulations
[637]	146	if "longitude" in nc.dimensions and "latitude" in nc.dimensions: is1d = len(nc.variables["longitude"][:])*len(nc.variables["latitude"][:])
	147	elif "lon" in nc.dimensions and "lat" in nc.dimensions: is1d = len(nc.variables["lon"][:])*len(nc.variables["lat"][:])
	148	if typefile in ['gcm','earthgcm'] and is1d == 1: mapmode=0 ; winds=False
[579]	149	### we create default vert and time prescriptions if not here in case mapping mode is on (lat/lon maps)
[548]	150	if redope is None and mapmode == 1:
[477]	151	if svert is None: svert = readslices(str(level)) ; nvert=1
	152	if stime is None and mrate is None:
	153	stime = readslices(str(0)) ; ntime=1 ## this is a default choice
	154	print "WELL... nothing about time axis. I took default: first time reference stored in file."
[579]	155	### we get the names of variables to be read. in case only one available, we choose this one.
[507]	156	varname=var[vvv]
[701]	157	if ((varname not in nc.variables) and not ((typefile in ['meso']) and (varname in ['UV','uv','uvmet','slopexy','SLOPEXY','deltat','DELTAT'])) and not ((typefile in ['gcm']) and (varname in ['enfact']))):
[507]	158	if len(varinfile) == 1: varname = varinfile[0]
	159	else: varname = False
[579]	160	### we get the names of wind variables to be read (if any)
[349]	161	if winds:
[345]	162	[uchar,vchar,metwind] = getwinddef(nc)
	163	if uchar == 'not found': winds = False
[579]	164	### we tell the user that either no var or no wind is not acceptable
[392]	165	if not varname and not winds: errormess("please set at least winds or var",printvar=nc.variables)
[579]	166	### we get the coordinates lat/lon to be used
[399]	167	[lon2d,lat2d] = getcoorddef(nc)
[579]	168	### we get an adapted map projection if none is provided by the user
[548]	169	if proj == None: proj = getproj(nc)
[579]	170	### we define plot boundaries given projection or user choices
[489]	171	if firstfile:
	172	if proj in ["npstere","spstere"]: [wlon,wlat] = polarinterv(lon2d,lat2d)
	173	elif proj in ["lcc","laea"]: [wlon,wlat] = wrfinterv(lon2d,lat2d)
	174	else: [wlon,wlat] = simplinterv(lon2d,lat2d)
	175	if zoom: [wlon,wlat] = zoomset(wlon,wlat,zoom)
[558]	176	elif zarea is not None: [wlon,wlat] = latinterv(area=zarea)
[489]	177
[490]	178	##########################################################
	179	############ LOAD 4D DIMENSIONS : x, y, z, t #############
	180	##########################################################
[558]	181	if typefile in ["gcm","earthgcm","ecmwf"]:
[610]	182	if slon is not None: sslon = slon
	183	if slat is not None: sslat = slat
[558]	184	### LAT
	185	if "latitude" in nc.variables: lat = nc.variables["latitude"][:]
	186	elif "lat" in nc.variables: lat = nc.variables["lat"][:]
	187	### LON
	188	if "longitude" in nc.variables: lon = nc.variables["longitude"][:]
	189	elif "lon" in nc.variables: lon = nc.variables["lon"][:]
	190	### ALT
	191	if "altitude" in nc.variables: vert = nc.variables["altitude"][:]
	192	elif "Alt" in nc.variables: vert = nc.variables["Alt"][:]
	193	elif "lev" in nc.variables: vert = nc.variables["lev"][:]
	194	else: vert = [0.]
	195	### AIRE (to weight means with the area)
	196	if "aire" in nc.variables: area = nc.variables["aire"][:,:]
[525]	197	else: area = None
	198	### TIME
	199	if "Time" in nc.variables: time = nc.variables["Time"][:]
	200	elif "time" in nc.variables: time = nc.variables["time"][:]
	201	elif "time_counter" in nc.variables: time = nc.variables["time_counter"][:]/86400. #### time counter cinverstion from s-> days
[640]	202	else: time = [0.] #errormess("no time axis found.")
	203	if axtime in ["ls"]:
	204	print "converting to Ls ..."
	205	for iii in range(len(time)):
[673]	206	time[iii] = sol2ls(time[iii])
[640]	207	if iii > 0:
	208	while abs(time[iii]-time[iii-1]) > 300:
	209	time[iii] = time[iii]+360
[494]	210	# for 1D plots (no need for longitude computation):
	211	if axtime in ["lt"]:
	212	if initime == -1: initime=input("Please type initial local time:")
	213	time = (initime+time*24)%24
	214	print "LOCAL TIMES.... ", time
[548]	215	elif typefile in ['meso','geo']:
[525]	216	area = None ## not active for the moment
[490]	217	###### STUFF TO GET THE CORRECT LAT/LON FROM MESOSCALE FILES WITH 2D LAT/LON ARRAYS
	218	###### principle: calculate correct indices then repopulate slon and slat
	219	if slon is not None or slat is not None:
[612]	220	if firstfile and save == 'png' and typefile == 'meso' and "HGT" in varinfile and display: iwantawhereplot = nc #show a topo map with a cross on the chosen point
[562]	221	else: iwantawhereplot = None #do not show anything, just select indices
[490]	222	numlon = 1 ; numlat = 1
[610]	223	if slon is not None: numlon = slon.shape[1]
	224	if slat is not None: numlat = slat.shape[1]
[490]	225	indices = np.ones([numlon,numlat,2]) ; vlon = None ; vlat = None
	226	for iii in range(numlon):
	227	for jjj in range(numlat):
[610]	228	if slon is not None: vlon = slon[0][iii] ### note: slon[:][0] does not work
	229	if slat is not None: vlat = slat[0][jjj] ### note: slon[:][0] does not work
[490]	230	indices[iii,jjj,:] = bidimfind(lon2d,lat2d,vlon,vlat,file=iwantawhereplot)
	231	lonp,latp = ( lon2d[indices[iii,jjj,0],indices[iii,jjj,1]] , lat2d[indices[iii,jjj,0],indices[iii,jjj,1]] )
[587]	232	### possible bug here if several --lat
[490]	233	for iii in range(numlon):
	234	for jjj in range(numlat):
[610]	235	if slon is not None: sslon[0][iii] = indices[iii,0,1] #...this is idx
	236	if slat is not None: sslat[0][jjj] = indices[0,jjj,0] #...this is idy
[490]	237	lonp,latp = ( lon2d[indices[0,0,0],indices[0,0,1]] , lat2d[indices[0,0,0],indices[0,0,1]] )
	238	######
[548]	239	if typefile in ['meso'] and mapmode == 1: lon2d = dumpbdy(lon2d,6) ; lat2d = dumpbdy(lat2d,6) ### important to do that now and not before
[490]	240	######
[393]	241	if varname in ['PHTOT','W']: vertdim='BOTTOM-TOP_PATCH_END_STAG'
	242	else: vertdim='BOTTOM-TOP_PATCH_END_UNSTAG'
[490]	243	if (var2 is not None and var2 not in ['PHTOT','W']): dumped_vert_stag=True ; vertdim='BOTTOM-TOP_PATCH_END_UNSTAG'
	244	else: dumped_vert_stag=False
[393]	245	if varname in ['V']: latdim='SOUTH-NORTH_PATCH_END_STAG'
	246	else: latdim='SOUTH-NORTH_PATCH_END_UNSTAG'
	247	if varname in ['U']: londim='WEST-EAST_PATCH_END_STAG'
	248	else: londim='WEST-EAST_PATCH_END_UNSTAG'
[402]	249	lon = np.arange(0,getattr(nc,londim),1) ; lat = np.arange(0,getattr(nc,latdim),1)
[468]	250	###
	251	if axtime in ["ls","sol"]:
	252	lstab, soltab, lttab = getlschar ( namefile, getaxis = True )
	253	if axtime == "ls": time = lstab
	254	elif axtime == "sol": time = soltab
	255	else:
[665]	256	if ope in ["cat"] and nnn > 0: count = time[-1] + 1 ## so that a cat is possible with simple subscripts
	257	else: count = 0
[613]	258	if "Times" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Times"]),1)
	259	elif "Time" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Time"]),1)
	260	else: time = count + np.arange(0,1,1)
[489]	261	if axtime in ["lt"]:
[569]	262	ftime = np.zeros(len(time))
	263	for i in range(len(time)):
	264	ftime[i] = localtime ( interv[0]+time[i]interv[1], 0.5(wlon[0]+wlon[1]) )
	265	time=ftime
	266	time=check_localtime(time)
[489]	267	print "LOCAL TIMES.... ", time
[569]	268
[468]	269	###
[426]	270	if typefile in ['geo']: vert = [0.] ; stime = readslices(str(0))
	271	else:
	272	if vertmode is None: vertmode=0
[687]	273	if vertmode == 0:
	274	if "vert" in nc.variables: vert = nc.variables["vert"][:]/1000. ; vertmode = 1
	275	else: vert = np.arange(0,getattr(nc,vertdim),1)
[562]	276	elif vertmode == -1: vert = nc.variables["PHTOT"][0,:,0,0]/3.72 ; vert = np.array(vert[0:len(vert)-1]) #; print vert
[610]	277	elif vertmode == 1 or vertmode == 2: vert = nc.variables["vert"][:] ## pressure in Pa
	278	else: vert = nc.variables["vert"][:]/1000. ## altitude in km
[350]	279	#if firstfile:
	280	# lat0 = lat
	281	#elif len(lat0) != len(lat):
	282	# errormess("Not the same latitude lengths !", [len(lat0), len(lat)])
	283	#elif sum((lat == lat0) == False) != 0:
	284	# errormess("Not the same latitudes !", [lat,lat0])
	285	## Faire d'autre checks sur les compatibilites entre fichiers!!
[349]	286	##########################################################
[490]	287	##########################################################
	288	##########################################################
[345]	289
[402]	290	all_varname[k] = varname
	291	all_namefile[k] = namefile
[406]	292	all_time[k] = time
[612]	293	if var2:
[637]	294	all_var2[k] = getfield(nc,var2)
[612]	295	if ((var2 in ['slopexy','SLOPEXY']) and (typefile in ['meso']) and (var2 not in nc.variables)): all_var2[k] = slopeamplitude(nc)
[451]	296	if winds: all_windu[k] = getfield(nc,uchar) ; all_windv[k] = getfield(nc,vchar)
[571]	297	#####################
	298	##### GETFIELDS #####
	299	#####################
	300	##### SPECIFIC CASES
[701]	301	##### note : we could probably call those via a "toolbox" in myplot.
[571]	302	##### 1. saturation temperature
[398]	303	if varname in ["temp","t","T_nadir_nit","T_nadir_day","temp_day","temp_night"] and tsat:
[392]	304	tt=getfield(nc,varname) ; print "computing Tsat-T, I ASSUME Z-AXIS IS PRESSURE"
	305	if type(tt).__name__=='MaskedArray': tt.set_fill_value([np.NaN]) ; tinput=tt.filled()
	306	else: tinput=tt
[391]	307	all_var[k]=get_tsat(vert,tinput,zlon=lon,zlat=lat,zalt=vert,ztime=time)
[571]	308	##### 2. wind amplitude
	309	elif ((varname in ['UV','uv','uvmet']) and (typefile in ['meso']) and (varname not in nc.variables)):
	310	all_var[k]=windamplitude(nc)
[612]	311	elif ((varname in ['slopexy','SLOPEXY']) and (typefile in ['meso']) and (varname not in nc.variables)):
	312	all_var[k]=slopeamplitude(nc)
[701]	313	#### 3. Near surface instability
[612]	314	elif ((varname in ['DELTAT','deltat']) and (typefile in ['meso']) and (varname not in nc.variables)):
	315	all_var[k]=deltat0t1(nc)
[701]	316	#### 4. Enrichment factor
	317	elif ((typefile in ['gcm']) and (varname in ['enfact'])):
	318	all_var[k]=enrichment_factor(nc)
[388]	319	else:
[392]	320	##### GENERAL STUFF HERE
[571]	321	all_var[k] = getfield(nc,varname)
[468]	322	print "**** GOT SUBDATA:",k," NAMEFILE:",namefile," VAR:",varname, var2 ; k += 1 ; firstfile = False
[345]	323	#### End of for namefile in namefiles
	324
[359]	325	##################################
[380]	326	### Operation on files
	327	if ope is not None:
[468]	328	print "********** OPERATION: ",ope
[422]	329	if "var" not in ope:
	330	if len(var) > 1: errormess("for this operation... please set only one var !")
[457]	331	if ope in ["-","+","-%"]:
[569]	332	if fileref is not None:
[571]	333	ncref = Dataset(fileref)
	334	if ((all_varname[k-1] in ['UV','uv','uvmet']) and (typefile in ['meso']) and (all_varname[k-1] not in ncref.variables)):
	335	all_var[k] = windamplitude(ncref)
[612]	336	elif ((all_varname[k-1] in ['slopexy','SLOPEXY']) and (typefile in ['meso']) and (all_varname[k-1] not in ncref.variables)):
	337	all_var[k] = slopeamplitude(ncref)
	338	elif ((all_varname[k-1] in ['DELTAT','deltat']) and (typefile in ['meso']) and (all_varname[k-1] not in ncref.variables)):
	339	all_var[k]=deltat0t1(ncref)
[569]	340	else:
[571]	341	all_var[k] = getfield(ncref,all_varname[k-1])
[569]	342	all_varname[k] = all_varname[k-1] ; all_time[k] = all_time[k-1] ; all_namefile[k] = all_namefile[k-1] ; all_var2[k] = all_var2[k-1]
[612]	343	if winds: all_windu[k] = getfield(ncref,uchar) ; all_windv[k] = getfield(ncref,vchar)
[569]	344	else: errormess("fileref is missing!")
[380]	345	if ope == "-": all_var[k+1]= all_var[k-1] - all_var[k]
	346	elif ope == "+": all_var[k+1]= all_var[k-1] + all_var[k]
[502]	347	elif ope == "-%":
	348	masked = np.ma.masked_where(all_var[k] == 0,all_var[k])
	349	masked.set_fill_value([np.NaN])
	350	all_var[k+1]= 100.*(all_var[k-1] - masked)/masked
[569]	351	all_varname[k+1] = all_varname[k] ; all_time[k+1] = all_time[k] ; all_namefile[k+1] = all_namefile[k] ; all_var2[k+1] = all_var2[k] ; numplot = numplot+2
[612]	352	if winds: all_windu[k+1] = all_windu[k-1]-all_windu[k] ; all_windv[k+1] = all_windv[k-1] - all_windv[k]
[380]	353	elif ope in ["cat"]:
[468]	354	tabtime = all_time[0];tab = all_var[0];k = 1
[462]	355	if var2: tab2 = all_var2[0]
[475]	356	while k != len(namefiles) and len(all_time[k]) != 0:
[462]	357	if var2: tab2 = np.append(tab2,all_var2[k],axis=0)
[468]	358	tabtime = np.append(tabtime,all_time[k]) ; tab = np.append(tab,all_var[k],axis=0) ; k += 1
	359	all_time[0] = np.array(tabtime) ; all_var[0] = np.array(tab) ; numplot = 1
[462]	360	if var2: all_var2[0] = np.array(tab2)
[422]	361	else: errormess(ope+" : non-implemented operation. Check pp.py --help")
	362	else:
	363	if len(namefiles) > 1: errormess("for this operation... please set only one file !")
	364	if len(var) > 2: errormess("not sure this works for more than 2 vars... please check.")
	365	if ope in ["div_var"]: all_var[k] = all_var[k-2] / all_var[k-1] ; insert = '_div_'
	366	elif ope in ["mul_var"]: all_var[k] = all_var[k-2] * all_var[k-1] ; insert = '_mul_'
	367	elif ope in ["add_var"]: all_var[k] = all_var[k-2] + all_var[k-1] ; insert = '_add_'
	368	elif ope in ["sub_var"]: all_var[k] = all_var[k-2] - all_var[k-1] ; insert = '_sub_'
	369	else: errormess(ope+" : non-implemented operation. Check pp.py --help")
	370	numplot = numplot + 1 ; all_time[k] = all_time[k-1] ; all_namefile[k] = all_namefile[k-1]
	371	all_varname[k] = all_varname[k-2] + insert + all_varname[k-1]
[345]	372	##################################
	373	### Open a figure and set subplots
	374	fig = figure()
	375	subv,subh = definesubplot( numplot, fig )
[457]	376	if ope in ['-','-%']: subv,subh = 2,2
[345]	377
	378	#################################
	379	### Time loop for plotting device
[448]	380	nplot = 1 ; error = False
[612]	381	if lstyle is not None: linecycler = cycle(lstyle)
	382	else: linecycler = cycle(["-","--","-.",":"])
[392]	383	print "********************************************"
[345]	384	while error is False:
[458]	385
	386	print "********** NPLOT", nplot
[424]	387	if nplot > numplot: break
[345]	388
[424]	389	####################################################################
[392]	390	## get all indexes to be taken into account for this subplot and then reduce field
	391	## We plot 1) all lon slices 2) all lat slices 3) all vert slices 4) all time slices and then go to the next slice
[569]	392	indexlon = getsindex(sslon,(nplot-1)%nlon,lon)
	393	indexlat = getsindex(sslat,((nplot-1)//nlon)%nlat,lat)
[392]	394	indexvert = getsindex(svert,((nplot-1)//(nlon*nlat))%nvert,vert)
[423]	395	if ope is not None:
	396	if fileref is not None: index_f = ((nplot-1)//(nlonnlatnvert*ntime))%(len(namefiles)+2) ## OK only 1 var, see test in the beginning
	397	elif "var" in ope: index_f = ((nplot-1)//(nlonnlatnvert*ntime))%(len(var)+1) ## OK only 1 file, see test in the beginning
[451]	398	elif "cat" in ope: index_f = 0
[423]	399	else: yeah = len(namefiles)len(var) ; index_f = ((nplot-1)//(nlonnlatnvertntime))%yeah
[407]	400	time = all_time[index_f]
[435]	401	if mrate is not None: indextime = None
	402	else: indextime = getsindex(stime,((nplot-1)//(nlonnlatnvert))%ntime,time)
[426]	403	ltst = None
[548]	404	if typefile in ['meso'] and indextime is not None: ltst = localtime ( interv[0]+indextimeinterv[1], 0.5(wlon[0]+wlon[1]) )
[468]	405	print "********** INDEX LON:",indexlon," LAT:",indexlat," VERT:",indexvert," TIME:",indextime
[490]	406	##var = nc.variables["phisinit"][:,:]
	407	##contourf(np.transpose(var),30,cmap = get_cmap(name="Greys_r") ) ; axis('off') ; plot(indexlat,indexlon,'mx',mew=4.0,ms=20.0)
	408	##show()
	409	##exit()
	410	#truc = True
	411	#truc = False
	412	#if truc: indexvert = None
[424]	413	####################################################################
[475]	414	########## REDUCE FIELDS
	415	####################################################################
[448]	416	error = False
[392]	417	varname = all_varname[index_f]
[448]	418	if varname: ### what is shaded.
[436]	419	what_I_plot, error = reducefield( all_var[index_f], d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \
[525]	420	yint=yintegral, alt=vert, anomaly=anomaly, redope=redope, mesharea=area )
[516]	421	if mult != 2718.: what_I_plot = what_I_plot*mult
	422	else: what_I_plot = np.log10(what_I_plot) ; print "log plot"
[647]	423
[451]	424	if var2: ### what is contoured.
[448]	425	what_I_plot_contour, error = reducefield( all_var2[index_f], d4=indextime, d1=indexlon, d2=indexlat , d3=indexvert, \
	426	yint=yintegral, alt=vert )
[451]	427	if winds: ### what is plot as vectors.
	428	vecx, error = reducefield( all_windu[index_f], d4=indextime, d3=indexvert, yint=yintegral, alt=vert)
	429	vecy, error = reducefield( all_windv[index_f], d4=indextime, d3=indexvert, yint=yintegral, alt=vert)
[490]	430	if varname in [uchar,vchar]: what_I_plot = np.sqrt( np.square(vecx) + np.square(vecy) ) ; varname = "wind"
	431
	432	#####################################################################
	433	#if truc:
	434	# nx = what_I_plot.shape[2] ; ny = what_I_plot.shape[1] ; nz = what_I_plot.shape[0]
	435	# for k in range(nz): print k,' over ',nz ; what_I_plot[k,:,:] = what_I_plot[k,:,:] / smooth(what_I_plot[k,:,:],12)
	436	# for iii in range(nx):
	437	# for jjj in range(ny):
	438	# deviation = what_I_plot[:,jjj,iii] ; mx = max(deviation) ; mn = min(deviation)
	439	# if iii > 6 and iii < nx-6 and jjj > 6 and jjj < ny-6: what_I_plot[0,jjj,iii],rel = singlet(deviation,vert/1000.) ### z must be in km
	440	# else: what_I_plot[0,jjj,iii] = 0.
	441	# if np.abs(what_I_plot[0,jjj,iii]) > 1.5:
	442	# print iii,jjj,what_I_plot[0,jjj,iii],int(abs(1.-mx)100.),int(abs(1.-mn)100.)
	443	# plot(rel)
	444	# show()
	445	# anomaly = True ### pour avoir les bons reglages plots
	446	# what_I_plot = what_I_plot[0,:,:]
	447	#####################################################################
	448
[448]	449	####################################################################
[458]	450	### General plot settings
	451	changesubplot = (numplot > 1) and (len(what_I_plot.shape) != 1) ## default for 1D plots: superimposed. to be reworked for better flexibility.
[518]	452	if changesubplot: subplot(subv,subh,nplot) #; subplots_adjust(wspace=0,hspace=0)
[458]	453	####################################################################
[475]	454	if error:
	455	errormess("There is an error in reducing field !")
	456	else:
[448]	457	ticks = ndiv + 1
[405]	458	fvar = varname
	459	if anomaly: fvar = 'anomaly'
[475]	460	###
	461	if mapmode == 0: ### could this be moved inside imov loop ?
[430]	462	itime=indextime
[587]	463	if len(what_I_plot.shape) == 3: itime=[0]
[475]	464	m = None ; x = None ; y = None
[608]	465	latyeah = lat ; lonyeah = lon
	466	if typefile in ['meso']:
	467	# now that the section is determined we can set the real lat
	468	# ... or for now, a temptative one.
	469	if slon is not None: latyeah = lat2d[:,0]
	470	if slat is not None: lonyeah = lon2d[0,:]
	471	what_I_plot, x, y = define_axis(lonyeah,latyeah,vert,time,indexlon,indexlat,indexvert,\
[430]	472	itime,what_I_plot, len(all_var[index_f].shape),vertmode)
[475]	473	###
	474	if (fileref is not None) and (index_f == numplot-1): zevmin, zevmax = calculate_bounds(what_I_plot,vmin=minop,vmax=maxop)
[405]	475	else: zevmin, zevmax = calculate_bounds(what_I_plot,vmin=vmin,vmax=vmax)
[475]	476	if (fileref is not None) and (index_f == numplot-1): colorb = "RdBu_r"
[518]	477	if colorb in ["def","nobar","onebar"]: palette = get_cmap(name=defcolorb(fvar.upper()))
[436]	478	else: palette = get_cmap(name=colorb)
[490]	479	#palette = cm.GMT_split
[489]	480	##### 1. ELIMINATE 0D or >3D CASES
	481	if len(what_I_plot.shape) == 0:
	482	print "VALUE VALUE VALUE VALUE ::: ",what_I_plot
	483	save = 'donothing'
	484	elif len(what_I_plot.shape) >= 4:
[475]	485	print "WARNING!!! ",len(what_I_plot.shape),"-D PLOT NOT SUPPORTED !!! dimensions: ",what_I_plot.shape
	486	errormess("Are you sure you did not forget to prescribe a dimension ?")
	487	##### 2. HANDLE simple 1D/2D field and movies of 1D/2D fields
	488	else:
[434]	489	if mrate is not None: iend=len(time)-1
[448]	490	else: iend=0
	491	imov = 0
[475]	492	if len(what_I_plot.shape) == 3:
	493	if var2: which = "contour" ## have to start with contours rather than shading
	494	else: which = "regular"
	495	if mrate is None: errormess("3D field. Use --rate RATE for movie or specify --time TIME. Exit.")
	496	elif len(what_I_plot.shape) == 2:
	497	if var2: which = "contour" ## have to start with contours rather than shading
	498	else: which = "regular"
	499	if mrate is not None: which = "unidim"
	500	elif len(what_I_plot.shape) == 1:
	501	which = "unidim"
[562]	502	if what_I_plot.shape[-1] == 1: print "VALUE VALUE VALUE VALUE ::: ", what_I_plot[0] ; save = 'donothing'
[475]	503	##### IMOV LOOP #### IMOV LOOP
[430]	504	while imov <= iend:
[448]	505	print "-> frame ",imov+1, which
	506	if which == "regular":
	507	if mrate is None: what_I_plot_frame = what_I_plot
	508	else: what_I_plot_frame = what_I_plot[imov,:,:]
[451]	509	if winds:
	510	if mrate is None: vecx_frame = vecx ; vecy_frame = vecy
	511	else: vecx_frame = vecx[imov,:,:] ; vecy_frame = vecy[imov,:,:]
[448]	512	elif which == "contour":
	513	if mrate is None or what_I_plot_contour.ndim < 3: what_I_plot_frame = what_I_plot_contour
	514	else: what_I_plot_frame = what_I_plot_contour[imov,:,:]
[475]	515	elif which == "unidim":
	516	if mrate is None: what_I_plot_frame = what_I_plot
	517	else: what_I_plot_frame = what_I_plot[:,imov] ## because swapaxes
	518	#if mrate is not None:
	519	if mapmode == 1:
[451]	520	m = define_proj(proj,wlon,wlat,back=back,blat=blat,blon=blon) ## this is dirty, defined above but out of imov loop
	521	x, y = m(lon2d, lat2d) ## this is dirty, defined above but out of imov loop
[548]	522	if typefile in ['meso'] and mapmode == 1: what_I_plot_frame = dumpbdy(what_I_plot_frame,6,condition=True)
[464]	523	# if typefile in ['mesoideal']: what_I_plot_frame = dumpbdy(what_I_plot_frame,0,stag='W',condition=dumped_vert_stag)
[444]	524
[475]	525	if which == "unidim":
[614]	526	if lbls is not None: lbl=lbls[nplot-1]
[612]	527	else:
	528	lbl = ""
	529	if indexlat is not None: lbl = lbl + " ix" + str(indexlat[0])
	530	if indexlon is not None: lbl = lbl + " iy" + str(indexlon[0])
	531	if indexvert is not None: lbl = lbl + " iz" + str(indexvert[0])
	532	if indextime is not None: lbl = lbl + " it" + str(indextime[0])
[647]	533	if lbl == "": lbl = all_namefile[index_f]
[569]	534
[475]	535	if mrate is not None: x = y ## because swapaxes...
[490]	536	#what_I_plot_frame = np.diff(what_I_plot_frame, n=1) ; x = x[1:]
[587]	537
	538	zeline = next(linecycler) ## "-" for simple lines
	539	if tile: zemarker = 'x'
	540	else: zemarker = None
[579]	541	this_is_a_regular_plot = (indexvert is not None) or (indextime is None) or (indexlat is None) or (indexlon is None)
[587]	542	if this_is_a_regular_plot: plot(x,what_I_plot_frame,zeline,label=lbl,marker=zemarker) ## vertical profile
	543	else: plot(what_I_plot_frame,x,zeline,label=lbl,marker=zemarker) ## regular plot
[475]	544	if nplot > 1: legend(loc='best')
[502]	545	if indextime is None and axtime is not None and xlab is None: xlabel(axtime.upper()) ## define the right label
[642]	546	if save == 'txt': writeascii(np.transpose([x,np.transpose(what_I_plot)]),'profile'+str(nplot*1000+imov)+'.txt')
[475]	547
[569]	548	elif which == "regular":
[647]	549
	550	# plot stream lines if there is a stream file and a vert/lat slice. Might not work with movies ??
	551	if streamflag and sslat is None and svert is None:
	552	streamfile = all_namefile[index_f].replace('.nc','_stream.nc')
	553	teststream = os.path.exists(streamfile)
	554	if teststream:
	555	print 'INFO: Using stream file',streamfile, 'for stream lines'
	556	ncstream = Dataset(streamfile)
	557	psi = getfield(ncstream,'psi')
	558	psi = psi[0,:,:,0] # time and longitude are dummy dimensions
	559	if psi.shape[1] != len(x) or psi.shape[0] != len(y):
	560	errormess('stream file does not fit! Dimensions: '+str(psi.shape)+' '+str(x.shape)+' '+str(y.shape))
	561	zelevels = np.arange(-1.e10,1.e10,1.e9)
	562	zemin = np.min(abs(zelevels))
	563	zemax = np.max(abs(zelevels))
	564	zewidth = (abs(zelevels)-zemin)*(5.- 0.5)/(zemax - zemin) + 0.5 # linewidth ranges from 5 to 0.5
	565	cs = contour( x,y,psi, zelevels, colors='k', linewidths = zewidth)
	566	clabel(cs, inline=True, fontsize = 4.*rcParams['font.size']/5., fmt="%1.1e")
	567	else:
	568	print 'WARNING: STREAM FILE',streamfile, 'DOES NOT EXIST !'
	569
[448]	570	if hole: what_I_plot_frame = hole_bounds(what_I_plot_frame,zevmin,zevmax)
	571	else: what_I_plot_frame = bounds(what_I_plot_frame,zevmin,zevmax)
	572	if flagnolow: what_I_plot_frame = nolow(what_I_plot_frame)
	573	if not tile:
	574	#zelevels = np.linspace(zevmin(1. + 1.e-7),zevmax(1. - 1.e-7)) #,num=20)
	575	zelevels = np.linspace(zevmin,zevmax,num=ticks)
[548]	576	#what_I_plot_frame = smooth(what_I_plot_frame,100)
[453]	577	if mapmode == 1: m.contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans)
	578	elif mapmode == 0: contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans)
[612]	579	if cross is not None and mapmode == 1:
	580	idx,idy=m(cross[0][0],cross[0][1])
	581	mpl.pyplot.plot([idx],[idy],'+k',mew=0.5,ms=18)
[448]	582	else:
[458]	583	if mapmode == 1: m.pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans)
	584	elif mapmode == 0: pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans)
[647]	585
[475]	586
[518]	587	if colorb not in ['nobar','onebar']:
[475]	588	if (fileref is not None) and (index_f == numplot-1): daformat = "%.3f"
[468]	589	elif mult != 1: daformat = "%.1f"
[448]	590	else: daformat = fmtvar(fvar.upper())
[603]	591	#if proj in ['moll','cyl']: zeorientation="horizontal" ; zepad = 0.05
	592	if proj in ['moll']: zeorientation="horizontal" ; zepad = 0.05
[599]	593	else: zeorientation="vertical" ; zepad = 0.03
	594	zecb = colorbar( fraction=0.05,pad=zepad,format=daformat,orientation=zeorientation,\
[468]	595	ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional' )
[578]	596	if zeorientation == "horizontal" and zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]=""
[451]	597	if winds:
[548]	598	if typefile in ['meso']:
[451]	599	[vecx_frame,vecy_frame] = [dumpbdy(vecx_frame,6,stag=uchar,condition=True), dumpbdy(vecy_frame,6,stag=vchar,condition=True)]
	600	key = True
[637]	601	if fvar in ['UV','uv','uvmet']: key = False
[451]	602	elif typefile in ['gcm']:
	603	key = False
[548]	604	if metwind and mapmode == 1: [vecx_frame,vecy_frame] = m.rotate_vector(vecx_frame, vecy_frame, lon2d, lat2d)
[638]	605	if var: colorvec = definecolorvec(colorb)
	606	else: colorvec = definecolorvec(back)
[451]	607	vectorfield(vecx_frame, vecy_frame, x, y, stride=stride, csmooth=2,\
	608	#scale=15., factor=300., color=colorvec, key=key)
	609	scale=20., factor=250., color=colorvec, key=key)
	610	#200. ## or csmooth=stride
[640]	611	if ope == '-' and nplot == numplot: # this should work as long as ope is '-' guarantees 3 plots for 4 panels without contour
	612	subplot(subv,subh,nplot+1)
[642]	613	rcParams["legend.fontsize"] = 'xx-large'
[641]	614	if indexlat is None:
	615	latmin = -50.; latmax = 50. # latitude range for histogram of difference
[640]	616	zeindexlat = (lat<latmax)*(lat>latmin)
[642]	617	# this follows the define_axis logic in myplot.py:
	618	if indextime is None or indexlon is None: what_I_plot_frame = what_I_plot_frame[zeindexlat,:]
	619	else: what_I_plot_frame = what_I_plot_frame[:,zeindexlat]
[640]	620	toplot = np.ravel(what_I_plot_frame[np.isnan(what_I_plot_frame)==False])
[641]	621	zebins = np.linspace(zevmin,zevmax,num=30)
[640]	622	hist(toplot,bins=zebins,histtype='step',linewidth=2,color='k',normed=True)
[647]	623	zestd = np.std(toplot);zemean = np.mean(toplot)
[641]	624	zebins = np.linspace(zevmin,zevmax,num=300)
[640]	625	zegauss = (1./(zestd * np.sqrt(2 * np.pi)) * np.exp( - (zebins - zemean)*2 / (2 zestd**2) ) )
[642]	626	plot(zebins, zegauss, linewidth=1, color='r',label="mean: "+str(zemean)[0:5]+"\nstd: "+str(zestd)[0:5])
	627	legend(loc=0,frameon=False)
[640]	628	title("Histogram fig(1) "+ope+" fig(2)")
	629	subplot(subv,subh,nplot) # go back to last plot for title of contour difference
[642]	630
[448]	631	elif which == "contour":
[562]	632	zevminc, zevmaxc = calculate_bounds(what_I_plot_frame, vmin=min(what_I_plot_frame), vmax=max(what_I_plot_frame))
[448]	633	zelevels = np.linspace(zevminc,zevmaxc,ticks/2) #20)
[637]	634	if var2 == 'HGT': zelevels = np.arange(-10000.,30000.,1000.)
	635	elif var2 == 'tpot': zelevels = np.arange(270,370,5)
	636	elif var2 == 'tk': zelevels = np.arange(150,250,5)
[608]	637	if mapmode == 0:
[637]	638	what_I_plot_frame, x, y = define_axis( lonyeah,latyeah,vert,time,indexlon,indexlat,indexvert,\
[448]	639	itime,what_I_plot_frame, len(all_var2[index_f].shape),vertmode )
[637]	640	## is this needed? only if len(all_var2[index_f].shape) != len(all_var[index_f].shape)
	641	cs = contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33)#, alpha=0.5, linestyles='solid')
	642	clabel(cs, inline=1, fontsize = 4.*rcParams['font.size']/5., fmt=fmtvar(var2.upper()))
	643	elif mapmode == 1: cs = m.contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33)#, alpha=0.5, linestyles='solid')
[475]	644	if which in ["regular","unidim"]:
[448]	645
[475]	646	if nplot > 1 and which == "unidim":
	647	pass ## because we superimpose nplot instances
	648	else:
	649	# Axis directives for movie frames [including the first one).
	650	zxmin, zxmax = xaxis ; zymin, zymax = yaxis
	651	if zxmin is not None: mpl.pyplot.xlim(xmin=zxmin)
	652	if zxmax is not None: mpl.pyplot.xlim(xmax=zxmax)
	653	if zymin is not None: mpl.pyplot.ylim(ymin=zymin)
	654	if zymax is not None: mpl.pyplot.ylim(ymax=zymax)
	655	if ylog: mpl.pyplot.semilogy()
	656	if invert_y: ax = mpl.pyplot.gca() ; ax.set_ylim(ax.get_ylim()[::-1])
[502]	657	if xlab is not None: xlabel(xlab)
	658	if ylab is not None: ylabel(ylab)
[475]	659
[448]	660	if mrate is not None:
[451]	661	### THIS IS A MENCODER MOVIE
	662	if mrate > 0:
	663	figframe=mpl.pyplot.gcf()
	664	if mquality: figframe.set_dpi(600.)
	665	else: figframe.set_dpi(200.)
	666	mframe=fig2img(figframe)
	667	if imov == 0:
	668	moviename='movie' ;W,H = figframe.canvas.get_width_height()
	669	video = VideoSink((H,W), moviename, rate=mrate, byteorder="rgba")
	670	video.run(mframe) ; close()
	671	if imov == iend: video.close()
	672	### THIS IS A WEBPAGE MOVIE
	673	else:
	674	nameframe = "image"+str(1000+imov)
	675	makeplotres(nameframe,res=100.,disp=False) ; close()
	676	if imov == 0: myfile = open("zepics", 'w')
	677	myfile.write("modImages["+str(imov)+"] = '"+nameframe+"_100.png';"+ '\n')
	678	if imov == iend:
	679	myfile.write("first_image = 0;"+ '\n')
	680	myfile.write("last_image = "+str(iend)+";"+ '\n')
	681	myfile.close()
[475]	682	if var2 and which == "regular": which = "contour"
[448]	683	imov = imov+1
	684	elif which == "contour":
	685	which = "regular"
	686
[345]	687	### Next subplot
[483]	688	zevarname = varname
	689	if redope is not None: zevarname = zevarname + "_" + redope
	690	basename = getname(var=zevarname,var2=var2,winds=winds,anomaly=anomaly)
[462]	691	if len(what_I_plot.shape) > 3:
	692	basename = basename + getstralt(nc,level)
[451]	693	if mrate is not None: basename = "movie_" + basename
[548]	694	if typefile in ['meso']:
[569]	695	if sslon is not None: basename = basename + "_lon_" + str(int(round(lonp)))
	696	if sslat is not None: basename = basename + "_lat_" + str(int(round(latp)))
[349]	697	plottitle = basename
[468]	698	### dans le nouveau systeme time=ls,sol,lt cette ligne pourrait ne servir a rien (ou deplacer au dessus)
	699	if addchar and indextime is not None: [addchar,gogol,gogol2] = getlschar ( all_namefile[index_f] ) ; plottitle = plottitle + addchar
[485]	700	### en fait redope is None doit etre remplace par : n'est ni maxt ni mint
	701	if redope is None and ltst is not None and ( (mapmode == 0) or (proj in ["lcc","laea","merc","nsper"]) ): plottitle = plottitle + "_LT" + str(ltst)
[349]	702	else:
[359]	703	if fileref is not None:
[402]	704	if index_f is numplot-1: plottitle = basename+' '+"fig(1) "+ope+" fig(2)"
	705	elif index_f is numplot-2: plottitle = basename+' '+fileref
[647]	706	else: plottitle = basename+' '+all_namefile[index_f]
	707	else: plottitle = basename+' '+all_namefile[index_f]
[468]	708	if mult != 1: plottitle = '{:.0e}'.format(mult) + "*" + plottitle
[578]	709	if zetitle[0] != "fill":
[580]	710	if index_f < len(zetitle): plottitle = zetitle[index_f]
	711	else: plottitle = zetitle[0]
[578]	712	if titleref is "fill": titleref=zetitle[index_f]
[359]	713	if fileref is not None:
[402]	714	if index_f is numplot-2: plottitle = titleref
	715	if index_f is numplot-1: plottitle = "fig(1) "+ope+" fig(2)"
	716	# if indexlon is not None: plottitle = plottitle + " lon: " + str(min(lon[indexlon])) +" "+ str(max(lon[indexlon]))
	717	# if indexlat is not None: plottitle = plottitle + " lat: " + str(min(lat[indexlat])) +" "+ str(max(lat[indexlat]))
	718	# if indexvert is not None: plottitle = plottitle + " vert: " + str(min(vert[indexvert])) +" "+ str(max(vert[indexvert]))
	719	# if indextime is not None: plottitle = plottitle + " time: " + str(min(time[indextime])) +" "+ str(max(time[indextime]))
[518]	720	if colorb != "onebar": title( plottitle )
[402]	721	if nplot >= numplot: error = True
[345]	722	nplot += 1
	723
[518]	724	if colorb == "onebar":
	725	cax = axes([0.1, 0.2, 0.8, 0.03]) # a ameliorer
	726	zecb = colorbar(cax=cax, orientation="horizontal", format=fmtvar(fvar.upper()),\
	727	ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional')
[578]	728	if zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]=""
[345]	729
[612]	730
[345]	731	##########################################################################
	732	### Save the figure in a file in the data folder or an user-defined folder
[359]	733	if outputname is None:
[548]	734	if typefile in ['meso']: prefix = getprefix(nc)
[359]	735	elif typefile in ['gcm']: prefix = 'LMD_GCM_'
	736	else: prefix = ''
[345]	737	###
[359]	738	zeplot = prefix + basename
	739	if addchar: zeplot = zeplot + addchar
	740	if numplot <= 0: zeplot = zeplot + "_LT"+str(abs(numplot))
[345]	741	###
[359]	742	if not target: zeplot = namefile[0:find(namefile,'wrfout')] + zeplot
	743	else: zeplot = target + "/" + zeplot
[345]	744	###
[359]	745	else:
	746	zeplot=outputname
	747
[436]	748	if mrate is None:
	749	pad_inches_value = 0.35
	750	print "********** SAVE ", save
	751	if save == 'png':
	752	if display: makeplotres(zeplot,res=100.,pad_inches_value=pad_inches_value) #,erase=True) ## a miniature
	753	makeplotres(zeplot,res=resolution,pad_inches_value=pad_inches_value,disp=False)
	754	elif save in ['eps','svg','pdf']: makeplotres(zeplot,pad_inches_value=pad_inches_value,disp=False,ext=save)
	755	elif save == 'gui': show()
[489]	756	elif save == 'donothing': pass
[436]	757	elif save == 'txt': print "Saved results in txt file."
	758	else:
	759	print "INFO: save mode not supported. using gui instead."
	760	show()
[345]	761
[447]	762	###################################
	763	#### Getting more out of this video -- PROBLEMS WITH CREATED VIDEOS
	764	#
	765	#if mrate is not None:
	766	# print "Re-encoding movie.. first pass"
	767	# video.first_pass(filename=moviename,quality=mquality,rate=mrate)
	768	# print "Re-encoding movie.. second pass"
	769	# video.second_pass(filename=moviename,quality=mquality,rate=mrate)
[444]	770
[345]	771	###############
	772	### Now the end
	773	return zeplot

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