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source: trunk/UTIL/PYTHON/planetoplot.py @ 613

Last change on this file since 613 was 613, checked in by aslmd, 13 years ago
UTIL PYTHON: an example script for pp.py (whole ExoMars? report). minor corrections. MESOSCALE : dust storm def files
Property svn:executable set to ``*
File size: 43.5 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,\
	68	cross=None):
[345]	69
	70	####################################################################################################################
	71	### Colorbars http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps?action=AttachFile&do=get&target=colormaps3.png
	72
	73	#################################
	74	### Load librairies and functions
	75	from netCDF4 import Dataset
	76	from myplot import getcoord2d,define_proj,makeplotres,simplinterv,vectorfield,ptitle,latinterv,getproj,wrfinterv,dumpbdy,\
	77	fmtvar,definecolorvec,defcolorb,getprefix,putpoints,calculate_bounds,errormess,definesubplot,\
	78	zoomset,getcoorddef,getwinddef,whatkindfile,reducefield,bounds,getstralt,getfield,smooth,nolow,\
[612]	79	getname,localtime,check_localtime,polarinterv,getsindex,define_axis,determineplot,readslices,bidimfind,getlschar,hole_bounds,\
	80	windamplitude,slopeamplitude,deltat0t1
[430]	81	from mymath import deg,max,min,mean,get_tsat,writeascii,fig2data,fig2img
[363]	82	import matplotlib as mpl
[518]	83	from matplotlib.pyplot import contour,contourf, subplot, figure, rcParams, savefig, colorbar, pcolor, show, plot, clabel, title, close, legend, xlabel, axis, ylabel, subplots_adjust, axes
[345]	84	from matplotlib.cm import get_cmap
[490]	85	#from mpl_toolkits.basemap import cm
[345]	86	import numpy as np
	87	from numpy.core.defchararray import find
[430]	88	from videosink import VideoSink
[444]	89	import subprocess
[490]	90	#from singlet import singlet
[587]	91	from itertools import cycle
[359]	92
[579]	93	#########################
	94	### PRELIMINARY STUFF ###
	95	#########################
	96	### we say hello
[392]	97	print "********************************************"
	98	print "******** WELCOME TO PLANETOPLOT ********"
	99	print "********************************************"
[579]	100	### we ensure namefiles and var are arrays
[392]	101	if not isinstance(namefiles, np.ndarray): namefiles = [namefiles]
	102	if not isinstance(var, np.ndarray): var = [var]
[579]	103	### we initialize a few variables
	104	initime=-1 ; sslon = None ; sslat = None
[582]	105	if slon is not None: sslon = np.zeros([1,2])
	106	if slat is not None: sslat = np.zeros([1,2])
[579]	107	k = 0 ; firstfile = True ; count = 0
	108	### we avoid specific cases not yet implemented
	109	if mrate is not None and len(var) > 1: errormess("multivar not allowed in movies. should be fixed soon!")
	110	### we prepare number of plot fields [zelen] and plot instances [numplot] according to user choices
	111	### --> we support multifile and multivar plots : files + vars separated by commas are on the same figure
[349]	112	nlon, nlat, nvert, ntime, mapmode, nslices = determineplot(slon, slat, svert, stime)
[392]	113	zelen = len(namefiles)*len(var)
[424]	114	numplot = zelen*nslices
[392]	115	print "********** FILES, SLICES, VARS, TOTAL PLOTS: ", len(namefiles), nslices, len(var), numplot
[579]	116	print "********** MAPMODE: ", mapmode
	117	### we correct number of plot fields for possible operation (substract, etc...)
[423]	118	if ope is not None:
	119	if fileref is not None: zelen = zelen + 2
	120	elif "var" in ope: zelen = zelen + 1
[579]	121	### we define the arrays for plot fields -- which will be placed within multiplot loops
	122	all_var = [[]]zelen ; all_var2 = [[]]zelen
	123	all_title = [[]]zelen ; all_varname = [[]]zelen ; all_namefile = [[]]zelen ; all_time = [[]]zelen
	124	all_windu = [[]]zelen ; all_windv = [[]]zelen
[392]	125
[579]	126	#############################
	127	### LOOP OVER PLOT FIELDS ###
	128	#############################
[392]	129	for nnn in range(len(namefiles)):
	130	for vvv in range(len(var)):
	131
[579]	132	### we load each NETCDF objects in namefiles
[468]	133	namefile = namefiles[nnn]
[345]	134	nc = Dataset(namefile)
[579]	135	### we explore the variables in the file
[507]	136	varinfile = nc.variables.keys()
	137	if seevar: print varinfile ; exit()
[579]	138	### we define the type of file we have (gcm, meso, etc...)
[507]	139	typefile = whatkindfile(nc)
[579]	140	if firstfile: typefile0 = typefile
	141	elif typefile != typefile0: errormess("Not the same kind of files !", [typefile0, typefile])
	142	### we care for input file being 1D simulations
[548]	143	if typefile in ['gcm'] and len(nc.variables["longitude"][:]) is 1 and len(nc.variables["latitude"][:]) is 1: mapmode=0 ; winds=False
	144	elif typefile in ['earthgcm'] and len(nc.variables["lon"][:]) is 1 and len(nc.variables["lat"][:]) is 1: mapmode=0 ; winds=False
[579]	145	### we create default vert and time prescriptions if not here in case mapping mode is on (lat/lon maps)
[548]	146	if redope is None and mapmode == 1:
[477]	147	if svert is None: svert = readslices(str(level)) ; nvert=1
	148	if stime is None and mrate is None:
	149	stime = readslices(str(0)) ; ntime=1 ## this is a default choice
	150	print "WELL... nothing about time axis. I took default: first time reference stored in file."
[579]	151	### we get the names of variables to be read. in case only one available, we choose this one.
[507]	152	varname=var[vvv]
[612]	153	if ((varname not in nc.variables) and not ((typefile in ['meso']) and (varname in ['UV','uv','uvmet','slopexy','SLOPEXY','deltat','DELTAT']))):
[507]	154	if len(varinfile) == 1: varname = varinfile[0]
	155	else: varname = False
[579]	156	### we get the names of wind variables to be read (if any)
[349]	157	if winds:
[345]	158	[uchar,vchar,metwind] = getwinddef(nc)
	159	if uchar == 'not found': winds = False
[579]	160	### we tell the user that either no var or no wind is not acceptable
[392]	161	if not varname and not winds: errormess("please set at least winds or var",printvar=nc.variables)
[579]	162	### we get the coordinates lat/lon to be used
[399]	163	[lon2d,lat2d] = getcoorddef(nc)
[579]	164	### we get an adapted map projection if none is provided by the user
[548]	165	if proj == None: proj = getproj(nc)
[579]	166	### we define plot boundaries given projection or user choices
[489]	167	if firstfile:
	168	if proj in ["npstere","spstere"]: [wlon,wlat] = polarinterv(lon2d,lat2d)
	169	elif proj in ["lcc","laea"]: [wlon,wlat] = wrfinterv(lon2d,lat2d)
	170	else: [wlon,wlat] = simplinterv(lon2d,lat2d)
	171	if zoom: [wlon,wlat] = zoomset(wlon,wlat,zoom)
[558]	172	elif zarea is not None: [wlon,wlat] = latinterv(area=zarea)
[489]	173
[490]	174	##########################################################
	175	############ LOAD 4D DIMENSIONS : x, y, z, t #############
	176	##########################################################
[558]	177	if typefile in ["gcm","earthgcm","ecmwf"]:
[610]	178	if slon is not None: sslon = slon
	179	if slat is not None: sslat = slat
[558]	180	### LAT
	181	if "latitude" in nc.variables: lat = nc.variables["latitude"][:]
	182	elif "lat" in nc.variables: lat = nc.variables["lat"][:]
	183	### LON
	184	if "longitude" in nc.variables: lon = nc.variables["longitude"][:]
	185	elif "lon" in nc.variables: lon = nc.variables["lon"][:]
	186	### ALT
	187	if "altitude" in nc.variables: vert = nc.variables["altitude"][:]
	188	elif "Alt" in nc.variables: vert = nc.variables["Alt"][:]
	189	elif "lev" in nc.variables: vert = nc.variables["lev"][:]
	190	else: vert = [0.]
	191	### AIRE (to weight means with the area)
	192	if "aire" in nc.variables: area = nc.variables["aire"][:,:]
[525]	193	else: area = None
	194	### TIME
	195	if "Time" in nc.variables: time = nc.variables["Time"][:]
	196	elif "time" in nc.variables: time = nc.variables["time"][:]
	197	elif "time_counter" in nc.variables: time = nc.variables["time_counter"][:]/86400. #### time counter cinverstion from s-> days
	198	else: errormess("no time axis found.")
[468]	199	if axtime in ["ls","sol"]: errormess("not supported. should not be too difficult though.")
[494]	200	# for 1D plots (no need for longitude computation):
	201	if axtime in ["lt"]:
	202	if initime == -1: initime=input("Please type initial local time:")
	203	time = (initime+time*24)%24
	204	print "LOCAL TIMES.... ", time
[548]	205	elif typefile in ['meso','geo']:
[525]	206	area = None ## not active for the moment
[490]	207	###### STUFF TO GET THE CORRECT LAT/LON FROM MESOSCALE FILES WITH 2D LAT/LON ARRAYS
	208	###### principle: calculate correct indices then repopulate slon and slat
	209	if slon is not None or slat is not None:
[612]	210	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]	211	else: iwantawhereplot = None #do not show anything, just select indices
[490]	212	numlon = 1 ; numlat = 1
[610]	213	if slon is not None: numlon = slon.shape[1]
	214	if slat is not None: numlat = slat.shape[1]
[490]	215	indices = np.ones([numlon,numlat,2]) ; vlon = None ; vlat = None
	216	for iii in range(numlon):
	217	for jjj in range(numlat):
[610]	218	if slon is not None: vlon = slon[0][iii] ### note: slon[:][0] does not work
	219	if slat is not None: vlat = slat[0][jjj] ### note: slon[:][0] does not work
[490]	220	indices[iii,jjj,:] = bidimfind(lon2d,lat2d,vlon,vlat,file=iwantawhereplot)
	221	lonp,latp = ( lon2d[indices[iii,jjj,0],indices[iii,jjj,1]] , lat2d[indices[iii,jjj,0],indices[iii,jjj,1]] )
[587]	222	### possible bug here if several --lat
[490]	223	for iii in range(numlon):
	224	for jjj in range(numlat):
[610]	225	if slon is not None: sslon[0][iii] = indices[iii,0,1] #...this is idx
	226	if slat is not None: sslat[0][jjj] = indices[0,jjj,0] #...this is idy
[490]	227	lonp,latp = ( lon2d[indices[0,0,0],indices[0,0,1]] , lat2d[indices[0,0,0],indices[0,0,1]] )
	228	######
[548]	229	if typefile in ['meso'] and mapmode == 1: lon2d = dumpbdy(lon2d,6) ; lat2d = dumpbdy(lat2d,6) ### important to do that now and not before
[490]	230	######
[393]	231	if varname in ['PHTOT','W']: vertdim='BOTTOM-TOP_PATCH_END_STAG'
	232	else: vertdim='BOTTOM-TOP_PATCH_END_UNSTAG'
[490]	233	if (var2 is not None and var2 not in ['PHTOT','W']): dumped_vert_stag=True ; vertdim='BOTTOM-TOP_PATCH_END_UNSTAG'
	234	else: dumped_vert_stag=False
[393]	235	if varname in ['V']: latdim='SOUTH-NORTH_PATCH_END_STAG'
	236	else: latdim='SOUTH-NORTH_PATCH_END_UNSTAG'
	237	if varname in ['U']: londim='WEST-EAST_PATCH_END_STAG'
	238	else: londim='WEST-EAST_PATCH_END_UNSTAG'
[402]	239	lon = np.arange(0,getattr(nc,londim),1) ; lat = np.arange(0,getattr(nc,latdim),1)
[468]	240	###
	241	if axtime in ["ls","sol"]:
	242	lstab, soltab, lttab = getlschar ( namefile, getaxis = True )
	243	if axtime == "ls": time = lstab
	244	elif axtime == "sol": time = soltab
	245	else:
[613]	246	if "Times" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Times"]),1)
	247	elif "Time" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Time"]),1)
	248	else: time = count + np.arange(0,1,1)
[569]	249	if ope in ["cat"]:
	250	if nnn > 0: count = time[-1] + 1 ## so that a cat is possible with simple subscripts
	251	else: count = 0
	252	else: count = 0
[489]	253	if axtime in ["lt"]:
[569]	254	ftime = np.zeros(len(time))
	255	for i in range(len(time)):
	256	ftime[i] = localtime ( interv[0]+time[i]interv[1], 0.5(wlon[0]+wlon[1]) )
	257	time=ftime
	258	time=check_localtime(time)
[489]	259	print "LOCAL TIMES.... ", time
[569]	260
[468]	261	###
[426]	262	if typefile in ['geo']: vert = [0.] ; stime = readslices(str(0))
	263	else:
	264	if vertmode is None: vertmode=0
	265	if vertmode == 0: vert = np.arange(0,getattr(nc,vertdim),1)
[562]	266	elif vertmode == -1: vert = nc.variables["PHTOT"][0,:,0,0]/3.72 ; vert = np.array(vert[0:len(vert)-1]) #; print vert
[610]	267	elif vertmode == 1 or vertmode == 2: vert = nc.variables["vert"][:] ## pressure in Pa
	268	else: vert = nc.variables["vert"][:]/1000. ## altitude in km
[350]	269	#if firstfile:
	270	# lat0 = lat
	271	#elif len(lat0) != len(lat):
	272	# errormess("Not the same latitude lengths !", [len(lat0), len(lat)])
	273	#elif sum((lat == lat0) == False) != 0:
	274	# errormess("Not the same latitudes !", [lat,lat0])
	275	## Faire d'autre checks sur les compatibilites entre fichiers!!
[349]	276	##########################################################
[490]	277	##########################################################
	278	##########################################################
[345]	279
[402]	280	all_varname[k] = varname
	281	all_namefile[k] = namefile
[406]	282	all_time[k] = time
[612]	283	if var2:
	284	if ((var2 in ['slopexy','SLOPEXY']) and (typefile in ['meso']) and (var2 not in nc.variables)): all_var2[k] = slopeamplitude(nc)
	285	else: all_var2[k] = getfield(nc,var2)
[451]	286	if winds: all_windu[k] = getfield(nc,uchar) ; all_windv[k] = getfield(nc,vchar)
[571]	287	#####################
	288	##### GETFIELDS #####
	289	#####################
	290	##### SPECIFIC CASES
	291	##### 1. saturation temperature
[398]	292	if varname in ["temp","t","T_nadir_nit","T_nadir_day","temp_day","temp_night"] and tsat:
[392]	293	tt=getfield(nc,varname) ; print "computing Tsat-T, I ASSUME Z-AXIS IS PRESSURE"
	294	if type(tt).__name__=='MaskedArray': tt.set_fill_value([np.NaN]) ; tinput=tt.filled()
	295	else: tinput=tt
[391]	296	all_var[k]=get_tsat(vert,tinput,zlon=lon,zlat=lat,zalt=vert,ztime=time)
[571]	297	##### 2. wind amplitude
	298	elif ((varname in ['UV','uv','uvmet']) and (typefile in ['meso']) and (varname not in nc.variables)):
	299	all_var[k]=windamplitude(nc)
[612]	300	elif ((varname in ['slopexy','SLOPEXY']) and (typefile in ['meso']) and (varname not in nc.variables)):
	301	all_var[k]=slopeamplitude(nc)
	302	elif ((varname in ['DELTAT','deltat']) and (typefile in ['meso']) and (varname not in nc.variables)):
	303	all_var[k]=deltat0t1(nc)
[388]	304	else:
[392]	305	##### GENERAL STUFF HERE
[571]	306	all_var[k] = getfield(nc,varname)
[468]	307	print "**** GOT SUBDATA:",k," NAMEFILE:",namefile," VAR:",varname, var2 ; k += 1 ; firstfile = False
[345]	308	#### End of for namefile in namefiles
	309
[359]	310	##################################
[380]	311	### Operation on files
	312	if ope is not None:
[468]	313	print "********** OPERATION: ",ope
[422]	314	if "var" not in ope:
	315	if len(var) > 1: errormess("for this operation... please set only one var !")
[457]	316	if ope in ["-","+","-%"]:
[569]	317	if fileref is not None:
[571]	318	ncref = Dataset(fileref)
	319	if ((all_varname[k-1] in ['UV','uv','uvmet']) and (typefile in ['meso']) and (all_varname[k-1] not in ncref.variables)):
	320	all_var[k] = windamplitude(ncref)
[612]	321	elif ((all_varname[k-1] in ['slopexy','SLOPEXY']) and (typefile in ['meso']) and (all_varname[k-1] not in ncref.variables)):
	322	all_var[k] = slopeamplitude(ncref)
	323	elif ((all_varname[k-1] in ['DELTAT','deltat']) and (typefile in ['meso']) and (all_varname[k-1] not in ncref.variables)):
	324	all_var[k]=deltat0t1(ncref)
[569]	325	else:
[571]	326	all_var[k] = getfield(ncref,all_varname[k-1])
[569]	327	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]	328	if winds: all_windu[k] = getfield(ncref,uchar) ; all_windv[k] = getfield(ncref,vchar)
[569]	329	else: errormess("fileref is missing!")
[380]	330	if ope == "-": all_var[k+1]= all_var[k-1] - all_var[k]
	331	elif ope == "+": all_var[k+1]= all_var[k-1] + all_var[k]
[502]	332	elif ope == "-%":
	333	masked = np.ma.masked_where(all_var[k] == 0,all_var[k])
	334	masked.set_fill_value([np.NaN])
	335	all_var[k+1]= 100.*(all_var[k-1] - masked)/masked
[569]	336	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]	337	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]	338	elif ope in ["cat"]:
[468]	339	tabtime = all_time[0];tab = all_var[0];k = 1
[462]	340	if var2: tab2 = all_var2[0]
[475]	341	while k != len(namefiles) and len(all_time[k]) != 0:
[462]	342	if var2: tab2 = np.append(tab2,all_var2[k],axis=0)
[468]	343	tabtime = np.append(tabtime,all_time[k]) ; tab = np.append(tab,all_var[k],axis=0) ; k += 1
	344	all_time[0] = np.array(tabtime) ; all_var[0] = np.array(tab) ; numplot = 1
[462]	345	if var2: all_var2[0] = np.array(tab2)
[422]	346	else: errormess(ope+" : non-implemented operation. Check pp.py --help")
	347	else:
	348	if len(namefiles) > 1: errormess("for this operation... please set only one file !")
	349	if len(var) > 2: errormess("not sure this works for more than 2 vars... please check.")
	350	if ope in ["div_var"]: all_var[k] = all_var[k-2] / all_var[k-1] ; insert = '_div_'
	351	elif ope in ["mul_var"]: all_var[k] = all_var[k-2] * all_var[k-1] ; insert = '_mul_'
	352	elif ope in ["add_var"]: all_var[k] = all_var[k-2] + all_var[k-1] ; insert = '_add_'
	353	elif ope in ["sub_var"]: all_var[k] = all_var[k-2] - all_var[k-1] ; insert = '_sub_'
	354	else: errormess(ope+" : non-implemented operation. Check pp.py --help")
	355	numplot = numplot + 1 ; all_time[k] = all_time[k-1] ; all_namefile[k] = all_namefile[k-1]
	356	all_varname[k] = all_varname[k-2] + insert + all_varname[k-1]
[345]	357	##################################
	358	### Open a figure and set subplots
	359	fig = figure()
	360	subv,subh = definesubplot( numplot, fig )
[457]	361	if ope in ['-','-%']: subv,subh = 2,2
[345]	362
	363	#################################
	364	### Time loop for plotting device
[448]	365	nplot = 1 ; error = False
[612]	366	if lstyle is not None: linecycler = cycle(lstyle)
	367	else: linecycler = cycle(["-","--","-.",":"])
[392]	368	print "********************************************"
[345]	369	while error is False:
[458]	370
	371	print "********** NPLOT", nplot
[424]	372	if nplot > numplot: break
[345]	373
[424]	374	####################################################################
[392]	375	## get all indexes to be taken into account for this subplot and then reduce field
	376	## 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]	377	indexlon = getsindex(sslon,(nplot-1)%nlon,lon)
	378	indexlat = getsindex(sslat,((nplot-1)//nlon)%nlat,lat)
[392]	379	indexvert = getsindex(svert,((nplot-1)//(nlon*nlat))%nvert,vert)
[423]	380	if ope is not None:
	381	if fileref is not None: index_f = ((nplot-1)//(nlonnlatnvert*ntime))%(len(namefiles)+2) ## OK only 1 var, see test in the beginning
	382	elif "var" in ope: index_f = ((nplot-1)//(nlonnlatnvert*ntime))%(len(var)+1) ## OK only 1 file, see test in the beginning
[451]	383	elif "cat" in ope: index_f = 0
[423]	384	else: yeah = len(namefiles)len(var) ; index_f = ((nplot-1)//(nlonnlatnvertntime))%yeah
[407]	385	time = all_time[index_f]
[435]	386	if mrate is not None: indextime = None
	387	else: indextime = getsindex(stime,((nplot-1)//(nlonnlatnvert))%ntime,time)
[426]	388	ltst = None
[548]	389	if typefile in ['meso'] and indextime is not None: ltst = localtime ( interv[0]+indextimeinterv[1], 0.5(wlon[0]+wlon[1]) )
[468]	390	print "********** INDEX LON:",indexlon," LAT:",indexlat," VERT:",indexvert," TIME:",indextime
[490]	391	##var = nc.variables["phisinit"][:,:]
	392	##contourf(np.transpose(var),30,cmap = get_cmap(name="Greys_r") ) ; axis('off') ; plot(indexlat,indexlon,'mx',mew=4.0,ms=20.0)
	393	##show()
	394	##exit()
	395	#truc = True
	396	#truc = False
	397	#if truc: indexvert = None
[424]	398	####################################################################
[475]	399	########## REDUCE FIELDS
	400	####################################################################
[448]	401	error = False
[392]	402	varname = all_varname[index_f]
[448]	403	if varname: ### what is shaded.
[436]	404	what_I_plot, error = reducefield( all_var[index_f], d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \
[525]	405	yint=yintegral, alt=vert, anomaly=anomaly, redope=redope, mesharea=area )
[516]	406	if mult != 2718.: what_I_plot = what_I_plot*mult
	407	else: what_I_plot = np.log10(what_I_plot) ; print "log plot"
[451]	408	if var2: ### what is contoured.
[448]	409	what_I_plot_contour, error = reducefield( all_var2[index_f], d4=indextime, d1=indexlon, d2=indexlat , d3=indexvert, \
	410	yint=yintegral, alt=vert )
[451]	411	if winds: ### what is plot as vectors.
	412	vecx, error = reducefield( all_windu[index_f], d4=indextime, d3=indexvert, yint=yintegral, alt=vert)
	413	vecy, error = reducefield( all_windv[index_f], d4=indextime, d3=indexvert, yint=yintegral, alt=vert)
[490]	414	if varname in [uchar,vchar]: what_I_plot = np.sqrt( np.square(vecx) + np.square(vecy) ) ; varname = "wind"
	415
	416	#####################################################################
	417	#if truc:
	418	# nx = what_I_plot.shape[2] ; ny = what_I_plot.shape[1] ; nz = what_I_plot.shape[0]
	419	# for k in range(nz): print k,' over ',nz ; what_I_plot[k,:,:] = what_I_plot[k,:,:] / smooth(what_I_plot[k,:,:],12)
	420	# for iii in range(nx):
	421	# for jjj in range(ny):
	422	# deviation = what_I_plot[:,jjj,iii] ; mx = max(deviation) ; mn = min(deviation)
	423	# 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
	424	# else: what_I_plot[0,jjj,iii] = 0.
	425	# if np.abs(what_I_plot[0,jjj,iii]) > 1.5:
	426	# print iii,jjj,what_I_plot[0,jjj,iii],int(abs(1.-mx)100.),int(abs(1.-mn)100.)
	427	# plot(rel)
	428	# show()
	429	# anomaly = True ### pour avoir les bons reglages plots
	430	# what_I_plot = what_I_plot[0,:,:]
	431	#####################################################################
	432
[448]	433	####################################################################
[458]	434	### General plot settings
	435	changesubplot = (numplot > 1) and (len(what_I_plot.shape) != 1) ## default for 1D plots: superimposed. to be reworked for better flexibility.
[518]	436	if changesubplot: subplot(subv,subh,nplot) #; subplots_adjust(wspace=0,hspace=0)
[458]	437	####################################################################
[475]	438	if error:
	439	errormess("There is an error in reducing field !")
	440	else:
[448]	441	ticks = ndiv + 1
[405]	442	fvar = varname
	443	if anomaly: fvar = 'anomaly'
[475]	444	###
	445	if mapmode == 0: ### could this be moved inside imov loop ?
[430]	446	itime=indextime
[587]	447	if len(what_I_plot.shape) == 3: itime=[0]
[475]	448	m = None ; x = None ; y = None
[608]	449	latyeah = lat ; lonyeah = lon
	450	if typefile in ['meso']:
	451	# now that the section is determined we can set the real lat
	452	# ... or for now, a temptative one.
	453	if slon is not None: latyeah = lat2d[:,0]
	454	if slat is not None: lonyeah = lon2d[0,:]
	455	what_I_plot, x, y = define_axis(lonyeah,latyeah,vert,time,indexlon,indexlat,indexvert,\
[430]	456	itime,what_I_plot, len(all_var[index_f].shape),vertmode)
[475]	457	###
	458	if (fileref is not None) and (index_f == numplot-1): zevmin, zevmax = calculate_bounds(what_I_plot,vmin=minop,vmax=maxop)
[405]	459	else: zevmin, zevmax = calculate_bounds(what_I_plot,vmin=vmin,vmax=vmax)
[475]	460	if (fileref is not None) and (index_f == numplot-1): colorb = "RdBu_r"
[518]	461	if colorb in ["def","nobar","onebar"]: palette = get_cmap(name=defcolorb(fvar.upper()))
[436]	462	else: palette = get_cmap(name=colorb)
[490]	463	#palette = cm.GMT_split
[489]	464	##### 1. ELIMINATE 0D or >3D CASES
	465	if len(what_I_plot.shape) == 0:
	466	print "VALUE VALUE VALUE VALUE ::: ",what_I_plot
	467	save = 'donothing'
	468	elif len(what_I_plot.shape) >= 4:
[475]	469	print "WARNING!!! ",len(what_I_plot.shape),"-D PLOT NOT SUPPORTED !!! dimensions: ",what_I_plot.shape
	470	errormess("Are you sure you did not forget to prescribe a dimension ?")
	471	##### 2. HANDLE simple 1D/2D field and movies of 1D/2D fields
	472	else:
[434]	473	if mrate is not None: iend=len(time)-1
[448]	474	else: iend=0
	475	imov = 0
[475]	476	if len(what_I_plot.shape) == 3:
	477	if var2: which = "contour" ## have to start with contours rather than shading
	478	else: which = "regular"
	479	if mrate is None: errormess("3D field. Use --rate RATE for movie or specify --time TIME. Exit.")
	480	elif len(what_I_plot.shape) == 2:
	481	if var2: which = "contour" ## have to start with contours rather than shading
	482	else: which = "regular"
	483	if mrate is not None: which = "unidim"
	484	elif len(what_I_plot.shape) == 1:
	485	which = "unidim"
[562]	486	if what_I_plot.shape[-1] == 1: print "VALUE VALUE VALUE VALUE ::: ", what_I_plot[0] ; save = 'donothing'
[475]	487	##### IMOV LOOP #### IMOV LOOP
[430]	488	while imov <= iend:
[448]	489	print "-> frame ",imov+1, which
	490	if which == "regular":
	491	if mrate is None: what_I_plot_frame = what_I_plot
	492	else: what_I_plot_frame = what_I_plot[imov,:,:]
[451]	493	if winds:
	494	if mrate is None: vecx_frame = vecx ; vecy_frame = vecy
	495	else: vecx_frame = vecx[imov,:,:] ; vecy_frame = vecy[imov,:,:]
[448]	496	elif which == "contour":
	497	if mrate is None or what_I_plot_contour.ndim < 3: what_I_plot_frame = what_I_plot_contour
	498	else: what_I_plot_frame = what_I_plot_contour[imov,:,:]
[475]	499	elif which == "unidim":
	500	if mrate is None: what_I_plot_frame = what_I_plot
	501	else: what_I_plot_frame = what_I_plot[:,imov] ## because swapaxes
	502	#if mrate is not None:
	503	if mapmode == 1:
[451]	504	m = define_proj(proj,wlon,wlat,back=back,blat=blat,blon=blon) ## this is dirty, defined above but out of imov loop
	505	x, y = m(lon2d, lat2d) ## this is dirty, defined above but out of imov loop
[548]	506	if typefile in ['meso'] and mapmode == 1: what_I_plot_frame = dumpbdy(what_I_plot_frame,6,condition=True)
[464]	507	# if typefile in ['mesoideal']: what_I_plot_frame = dumpbdy(what_I_plot_frame,0,stag='W',condition=dumped_vert_stag)
[444]	508
[475]	509	if which == "unidim":
[612]	510	if lbls is not None: lbl=lbls[index_f]
	511	else:
	512	lbl = ""
	513	if indexlat is not None: lbl = lbl + " ix" + str(indexlat[0])
	514	if indexlon is not None: lbl = lbl + " iy" + str(indexlon[0])
	515	if indexvert is not None: lbl = lbl + " iz" + str(indexvert[0])
	516	if indextime is not None: lbl = lbl + " it" + str(indextime[0])
	517	if lbl == "": lbl = namefiles[index_f]
[569]	518
[475]	519	if mrate is not None: x = y ## because swapaxes...
[490]	520	#what_I_plot_frame = np.diff(what_I_plot_frame, n=1) ; x = x[1:]
[587]	521
	522	zeline = next(linecycler) ## "-" for simple lines
	523	if tile: zemarker = 'x'
	524	else: zemarker = None
[579]	525	this_is_a_regular_plot = (indexvert is not None) or (indextime is None) or (indexlat is None) or (indexlon is None)
[587]	526	if this_is_a_regular_plot: plot(x,what_I_plot_frame,zeline,label=lbl,marker=zemarker) ## vertical profile
	527	else: plot(what_I_plot_frame,x,zeline,label=lbl,marker=zemarker) ## regular plot
[475]	528	if nplot > 1: legend(loc='best')
[502]	529	if indextime is None and axtime is not None and xlab is None: xlabel(axtime.upper()) ## define the right label
[475]	530	if save == 'txt': writeascii(np.transpose(what_I_plot),'profile'+str(nplot*1000+imov)+'.txt')
	531
[569]	532	elif which == "regular":
[448]	533	if hole: what_I_plot_frame = hole_bounds(what_I_plot_frame,zevmin,zevmax)
	534	else: what_I_plot_frame = bounds(what_I_plot_frame,zevmin,zevmax)
	535	if flagnolow: what_I_plot_frame = nolow(what_I_plot_frame)
	536	if not tile:
	537	#zelevels = np.linspace(zevmin(1. + 1.e-7),zevmax(1. - 1.e-7)) #,num=20)
	538	zelevels = np.linspace(zevmin,zevmax,num=ticks)
[548]	539	#what_I_plot_frame = smooth(what_I_plot_frame,100)
[453]	540	if mapmode == 1: m.contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans)
	541	elif mapmode == 0: contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans)
[612]	542	if cross is not None and mapmode == 1:
	543	idx,idy=m(cross[0][0],cross[0][1])
	544	mpl.pyplot.plot([idx],[idy],'+k',mew=0.5,ms=18)
[448]	545	else:
[458]	546	if mapmode == 1: m.pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans)
	547	elif mapmode == 0: pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans)
[475]	548
[518]	549	if colorb not in ['nobar','onebar']:
[475]	550	if (fileref is not None) and (index_f == numplot-1): daformat = "%.3f"
[468]	551	elif mult != 1: daformat = "%.1f"
[448]	552	else: daformat = fmtvar(fvar.upper())
[603]	553	#if proj in ['moll','cyl']: zeorientation="horizontal" ; zepad = 0.05
	554	if proj in ['moll']: zeorientation="horizontal" ; zepad = 0.05
[599]	555	else: zeorientation="vertical" ; zepad = 0.03
	556	zecb = colorbar( fraction=0.05,pad=zepad,format=daformat,orientation=zeorientation,\
[468]	557	ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional' )
[578]	558	if zeorientation == "horizontal" and zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]=""
[451]	559	if winds:
[548]	560	if typefile in ['meso']:
[451]	561	[vecx_frame,vecy_frame] = [dumpbdy(vecx_frame,6,stag=uchar,condition=True), dumpbdy(vecy_frame,6,stag=vchar,condition=True)]
	562	key = True
	563	elif typefile in ['gcm']:
	564	key = False
[548]	565	if metwind and mapmode == 1: [vecx_frame,vecy_frame] = m.rotate_vector(vecx_frame, vecy_frame, lon2d, lat2d)
[451]	566	if var: colorvec = definecolorvec(back)
	567	else: colorvec = definecolorvec(colorb)
	568	vectorfield(vecx_frame, vecy_frame, x, y, stride=stride, csmooth=2,\
	569	#scale=15., factor=300., color=colorvec, key=key)
	570	scale=20., factor=250., color=colorvec, key=key)
	571	#200. ## or csmooth=stride
[448]	572	elif which == "contour":
[562]	573	zevminc, zevmaxc = calculate_bounds(what_I_plot_frame, vmin=min(what_I_plot_frame), vmax=max(what_I_plot_frame))
[448]	574	zelevels = np.linspace(zevminc,zevmaxc,ticks/2) #20)
[612]	575	if var2 == 'HGT': zelevels = np.arange(-10000.,30000.,1000.)
[608]	576	if mapmode == 0:
[448]	577	what_I_plot_frame, x, y = define_axis( lon,lat,vert,time,indexlon,indexlat,indexvert,\
	578	itime,what_I_plot_frame, len(all_var2[index_f].shape),vertmode )
[612]	579	cs = contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33, alpha=0.5, linestyles='solid')
	580	elif mapmode == 1: cs = m.contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33, alpha=0.5, linestyles='solid')
[475]	581	if which in ["regular","unidim"]:
[448]	582
[475]	583	if nplot > 1 and which == "unidim":
	584	pass ## because we superimpose nplot instances
	585	else:
	586	# Axis directives for movie frames [including the first one).
	587	zxmin, zxmax = xaxis ; zymin, zymax = yaxis
	588	if zxmin is not None: mpl.pyplot.xlim(xmin=zxmin)
	589	if zxmax is not None: mpl.pyplot.xlim(xmax=zxmax)
	590	if zymin is not None: mpl.pyplot.ylim(ymin=zymin)
	591	if zymax is not None: mpl.pyplot.ylim(ymax=zymax)
	592	if ylog: mpl.pyplot.semilogy()
	593	if invert_y: ax = mpl.pyplot.gca() ; ax.set_ylim(ax.get_ylim()[::-1])
[502]	594	if xlab is not None: xlabel(xlab)
	595	if ylab is not None: ylabel(ylab)
[475]	596
[448]	597	if mrate is not None:
[451]	598	### THIS IS A MENCODER MOVIE
	599	if mrate > 0:
	600	figframe=mpl.pyplot.gcf()
	601	if mquality: figframe.set_dpi(600.)
	602	else: figframe.set_dpi(200.)
	603	mframe=fig2img(figframe)
	604	if imov == 0:
	605	moviename='movie' ;W,H = figframe.canvas.get_width_height()
	606	video = VideoSink((H,W), moviename, rate=mrate, byteorder="rgba")
	607	video.run(mframe) ; close()
	608	if imov == iend: video.close()
	609	### THIS IS A WEBPAGE MOVIE
	610	else:
	611	nameframe = "image"+str(1000+imov)
	612	makeplotres(nameframe,res=100.,disp=False) ; close()
	613	if imov == 0: myfile = open("zepics", 'w')
	614	myfile.write("modImages["+str(imov)+"] = '"+nameframe+"_100.png';"+ '\n')
	615	if imov == iend:
	616	myfile.write("first_image = 0;"+ '\n')
	617	myfile.write("last_image = "+str(iend)+";"+ '\n')
	618	myfile.close()
[475]	619	if var2 and which == "regular": which = "contour"
[448]	620	imov = imov+1
	621	elif which == "contour":
	622	which = "regular"
	623
[345]	624	### Next subplot
[483]	625	zevarname = varname
	626	if redope is not None: zevarname = zevarname + "_" + redope
	627	basename = getname(var=zevarname,var2=var2,winds=winds,anomaly=anomaly)
[462]	628	if len(what_I_plot.shape) > 3:
	629	basename = basename + getstralt(nc,level)
[451]	630	if mrate is not None: basename = "movie_" + basename
[548]	631	if typefile in ['meso']:
[569]	632	if sslon is not None: basename = basename + "_lon_" + str(int(round(lonp)))
	633	if sslat is not None: basename = basename + "_lat_" + str(int(round(latp)))
[349]	634	plottitle = basename
[468]	635	### dans le nouveau systeme time=ls,sol,lt cette ligne pourrait ne servir a rien (ou deplacer au dessus)
	636	if addchar and indextime is not None: [addchar,gogol,gogol2] = getlschar ( all_namefile[index_f] ) ; plottitle = plottitle + addchar
[485]	637	### en fait redope is None doit etre remplace par : n'est ni maxt ni mint
	638	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]	639	else:
[359]	640	if fileref is not None:
[402]	641	if index_f is numplot-1: plottitle = basename+' '+"fig(1) "+ope+" fig(2)"
	642	elif index_f is numplot-2: plottitle = basename+' '+fileref
	643	else: plottitle = basename+' '+namefiles[0]#index_f]
	644	else: plottitle = basename+' '+namefiles[0]#index_f]
[468]	645	if mult != 1: plottitle = '{:.0e}'.format(mult) + "*" + plottitle
[578]	646	if zetitle[0] != "fill":
[580]	647	if index_f < len(zetitle): plottitle = zetitle[index_f]
	648	else: plottitle = zetitle[0]
[578]	649	if titleref is "fill": titleref=zetitle[index_f]
[359]	650	if fileref is not None:
[402]	651	if index_f is numplot-2: plottitle = titleref
	652	if index_f is numplot-1: plottitle = "fig(1) "+ope+" fig(2)"
	653	# if indexlon is not None: plottitle = plottitle + " lon: " + str(min(lon[indexlon])) +" "+ str(max(lon[indexlon]))
	654	# if indexlat is not None: plottitle = plottitle + " lat: " + str(min(lat[indexlat])) +" "+ str(max(lat[indexlat]))
	655	# if indexvert is not None: plottitle = plottitle + " vert: " + str(min(vert[indexvert])) +" "+ str(max(vert[indexvert]))
	656	# if indextime is not None: plottitle = plottitle + " time: " + str(min(time[indextime])) +" "+ str(max(time[indextime]))
[518]	657	if colorb != "onebar": title( plottitle )
[402]	658	if nplot >= numplot: error = True
[345]	659	nplot += 1
	660
[518]	661	if colorb == "onebar":
	662	cax = axes([0.1, 0.2, 0.8, 0.03]) # a ameliorer
	663	zecb = colorbar(cax=cax, orientation="horizontal", format=fmtvar(fvar.upper()),\
	664	ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional')
[578]	665	if zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]=""
[345]	666
[612]	667
[345]	668	##########################################################################
	669	### Save the figure in a file in the data folder or an user-defined folder
[359]	670	if outputname is None:
[548]	671	if typefile in ['meso']: prefix = getprefix(nc)
[359]	672	elif typefile in ['gcm']: prefix = 'LMD_GCM_'
	673	else: prefix = ''
[345]	674	###
[359]	675	zeplot = prefix + basename
	676	if addchar: zeplot = zeplot + addchar
	677	if numplot <= 0: zeplot = zeplot + "_LT"+str(abs(numplot))
[345]	678	###
[359]	679	if not target: zeplot = namefile[0:find(namefile,'wrfout')] + zeplot
	680	else: zeplot = target + "/" + zeplot
[345]	681	###
[359]	682	else:
	683	zeplot=outputname
	684
[436]	685	if mrate is None:
	686	pad_inches_value = 0.35
	687	print "********** SAVE ", save
	688	if save == 'png':
	689	if display: makeplotres(zeplot,res=100.,pad_inches_value=pad_inches_value) #,erase=True) ## a miniature
	690	makeplotres(zeplot,res=resolution,pad_inches_value=pad_inches_value,disp=False)
	691	elif save in ['eps','svg','pdf']: makeplotres(zeplot,pad_inches_value=pad_inches_value,disp=False,ext=save)
	692	elif save == 'gui': show()
[489]	693	elif save == 'donothing': pass
[436]	694	elif save == 'txt': print "Saved results in txt file."
	695	else:
	696	print "INFO: save mode not supported. using gui instead."
	697	show()
[345]	698
[447]	699	###################################
	700	#### Getting more out of this video -- PROBLEMS WITH CREATED VIDEOS
	701	#
	702	#if mrate is not None:
	703	# print "Re-encoding movie.. first pass"
	704	# video.first_pass(filename=moviename,quality=mquality,rate=mrate)
	705	# print "Re-encoding movie.. second pass"
	706	# video.second_pass(filename=moviename,quality=mquality,rate=mrate)
[444]	707
[345]	708	###############
	709	### Now the end
	710	return zeplot

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