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source: trunk/UTIL/PYTHON/planetoplot.py @ 781

Last change on this file since 781 was 781, checked in by aslmd, 12 years ago
UTIL PYTHON. added a gfortran script to compile mcd fortran stuff in python. added comments here and there.
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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
[725]	13	### T. Navarro -- LMD -- 04/2012 -- Added capabilities (e.g. histograms for difference maps)
	14	### A. Colaitis -- LMD -- 05~06/2012 -- Added capabilities for analysis of mesoscale files (wind speed, etc...)
	15	### A. Spiga -- LMD -- 04~07/2012 -- Added larger support of files + planets. Corrected a few bugs. Cleaning and improved comments
[781]	16	### A. Colaitis -- LMD -- 08/2012 -- Added functionalities for further analysis: spectra, hodographs, etc... plus improved flexibility (e.g. grid)
[725]	17
[345]	18	def planetoplot (namefiles,\
[351]	19	level=0,\
[350]	20	vertmode=0,\
[345]	21	proj=None,\
	22	back=None,\
	23	target=None,
	24	stride=3,\
	25	var=None,\
[760]	26	clb=None,\
[399]	27	winds=False,\
[345]	28	addchar=None,\
	29	vmin=None,\
	30	vmax=None,\
	31	tile=False,\
	32	zoom=None,\
	33	display=True,\
	34	hole=False,\
	35	save="gui",\
	36	anomaly=False,\
	37	var2=None,\
	38	ndiv=10,\
	39	mult=1.,\
[578]	40	zetitle=["fill"],\
[345]	41	slon=None,\
	42	slat=None,\
	43	svert=None,\
[359]	44	stime=None,\
	45	outputname=None,\
	46	resolution=200,\
	47	ope=None,\
	48	fileref=None,\
	49	minop=0.,\
	50	maxop=0.,\
[363]	51	titleref="fill",\
[369]	52	invert_y=False,\
	53	xaxis=[None,None],\
[372]	54	yaxis=[None,None],\
[382]	55	ylog=False,\
[763]	56	xlog=False,\
[385]	57	yintegral=False,\
[388]	58	blat=None,\
[451]	59	blon=None,\
[418]	60	tsat=False,\
[430]	61	flagnolow=False,\
[444]	62	mrate=None,\
[453]	63	mquality=False,\
[457]	64	trans=1,\
[468]	65	zarea=None,\
[483]	66	axtime=None,\
[502]	67	redope=None,\
[507]	68	seevar=False,\
[502]	69	xlab=None,\
[569]	70	ylab=None,\
[612]	71	lbls=None,\
	72	lstyle=None,\
[647]	73	cross=None,\
[721]	74	facwind=1.,\
[760]	75	trycol=False,\
[763]	76	streamflag=False,\
	77	analysis=None):
[345]	78
	79	####################################################################################################################
	80	### Colorbars http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps?action=AttachFile&do=get&target=colormaps3.png
	81
	82	#################################
	83	### Load librairies and functions
	84	from netCDF4 import Dataset
	85	from myplot import getcoord2d,define_proj,makeplotres,simplinterv,vectorfield,ptitle,latinterv,getproj,wrfinterv,dumpbdy,\
	86	fmtvar,definecolorvec,defcolorb,getprefix,putpoints,calculate_bounds,errormess,definesubplot,\
	87	zoomset,getcoorddef,getwinddef,whatkindfile,reducefield,bounds,getstralt,getfield,smooth,nolow,\
[612]	88	getname,localtime,check_localtime,polarinterv,getsindex,define_axis,determineplot,readslices,bidimfind,getlschar,hole_bounds,\
[760]	89	getdimfromvar,select_getfield
[754]	90	from mymath import deg,max,min,mean,writeascii,fig2data,fig2img
[363]	91	import matplotlib as mpl
[725]	92	from matplotlib.pyplot import contour,contourf,hist, text,subplot, figure, rcParams, savefig, colorbar, \
	93	pcolor, show, plot, clabel, title, close, legend, xlabel, axis, ylabel, \
	94	subplots_adjust, axes, clabel
[345]	95	from matplotlib.cm import get_cmap
[490]	96	#from mpl_toolkits.basemap import cm
[345]	97	import numpy as np
	98	from numpy.core.defchararray import find
[763]	99	from scipy.stats import gaussian_kde,describe
[430]	100	from videosink import VideoSink
[673]	101	from times import sol2ls
[444]	102	import subprocess
[490]	103	#from singlet import singlet
[587]	104	from itertools import cycle
[647]	105	import os
[359]	106
[579]	107	#########################
	108	### PRELIMINARY STUFF ###
	109	#########################
	110	### we say hello
[392]	111	print "********************************************"
	112	print "******** WELCOME TO PLANETOPLOT ********"
	113	print "********************************************"
[579]	114	### we ensure namefiles and var are arrays
[392]	115	if not isinstance(namefiles, np.ndarray): namefiles = [namefiles]
	116	if not isinstance(var, np.ndarray): var = [var]
[579]	117	### we initialize a few variables
	118	initime=-1 ; sslon = None ; sslat = None
[760]	119	k = 0 ; firstfile = True ; count = 0
	120	### we perform sanity checks and correct for insufficient information
[582]	121	if slon is not None: sslon = np.zeros([1,2])
	122	if slat is not None: sslat = np.zeros([1,2])
[760]	123	if clb is None: clb = ["def"]*len(var)
	124	elif len(clb) < len(var): clb = [clb[0]]*len(var) ; print "WARNING: less color than vars! setting all to 1st value."
	125	### we set option trycol i.e. the user wants to try a set of colorbars
	126	if trycol: clb = ["Greys","Blues","YlOrRd","jet","spectral","hot","RdBu","RdYlBu","Paired"] ; zetitle = clb ; var = [var[0]]*9
[579]	127	### we avoid specific cases not yet implemented
	128	if mrate is not None and len(var) > 1: errormess("multivar not allowed in movies. should be fixed soon!")
[760]	129	### we prepare number of plot fields [zelen] and number of plot instances [numplot] according to user choices
[579]	130	### --> we support multifile and multivar plots : files + vars separated by commas are on the same figure
[763]	131	nlon, nlat, nvert, ntime, mapmode, nslices = determineplot(slon, slat, svert, stime, redope)
[392]	132	zelen = len(namefiles)*len(var)
[763]	133	### we correct number of plot fields for possible operation (substract, etc...)
	134	if ope is not None:
	135	if fileref is not None: zelen = 3len(var)len(namefiles)
	136	elif "var" in ope: zelen = zelen + 1
[424]	137	numplot = zelen*nslices
[392]	138	print "********** FILES, SLICES, VARS, TOTAL PLOTS: ", len(namefiles), nslices, len(var), numplot
[579]	139	print "********** MAPMODE: ", mapmode
	140	### we define the arrays for plot fields -- which will be placed within multiplot loops
[763]	141	all_var = [[]]zelen ; all_var2 = [[]]zelen
	142	all_title = [[]]zelen ; all_varname = [[]]zelen ; all_namefile = [[]]zelen ; all_colorb = [[]]zelen
	143	all_time = [[]]zelen ; all_vert = [[]]zelen ; all_lat = [[]]zelen ; all_lon = [[]]zelen
[579]	144	all_windu = [[]]zelen ; all_windv = [[]]zelen
[763]	145	plot_x = [[]]zelen ; plot_y = [[]]zelen ; multiplot = [[]]*zelen
	146	### tool (should be move to mymath)
	147	getVar = lambda searchList, ind: [searchList[i] for i in ind]
[579]	148	#############################
	149	### LOOP OVER PLOT FIELDS ###
	150	#############################
[763]	151
[392]	152	for nnn in range(len(namefiles)):
	153	for vvv in range(len(var)):
	154
[579]	155	### we load each NETCDF objects in namefiles
[468]	156	namefile = namefiles[nnn]
[345]	157	nc = Dataset(namefile)
[579]	158	### we explore the variables in the file
[507]	159	varinfile = nc.variables.keys()
[748]	160	if seevar: print varinfile ; exit()
[579]	161	### we define the type of file we have (gcm, meso, etc...)
[507]	162	typefile = whatkindfile(nc)
[579]	163	if firstfile: typefile0 = typefile
	164	elif typefile != typefile0: errormess("Not the same kind of files !", [typefile0, typefile])
[718]	165	### we care for input file being 1D simulations
	166	is1d=999
[637]	167	if "longitude" in nc.dimensions and "latitude" in nc.dimensions: is1d = len(nc.variables["longitude"][:])*len(nc.variables["latitude"][:])
	168	elif "lon" in nc.dimensions and "lat" in nc.dimensions: is1d = len(nc.variables["lon"][:])*len(nc.variables["lat"][:])
	169	if typefile in ['gcm','earthgcm'] and is1d == 1: mapmode=0 ; winds=False
[579]	170	### we create default vert and time prescriptions if not here in case mapping mode is on (lat/lon maps)
[548]	171	if redope is None and mapmode == 1:
[477]	172	if svert is None: svert = readslices(str(level)) ; nvert=1
	173	if stime is None and mrate is None:
	174	stime = readslices(str(0)) ; ntime=1 ## this is a default choice
	175	print "WELL... nothing about time axis. I took default: first time reference stored in file."
[579]	176	### we get the names of variables to be read. in case only one available, we choose this one.
[725]	177	### (we take out of the test specific names e.g. UV is not in the file but used to ask a wind speed computation)
[760]	178	varname = select_getfield(zvarname=var[vvv],znc=nc,ztypefile=typefile,mode='check')
[579]	179	### we get the names of wind variables to be read (if any)
[349]	180	if winds:
[345]	181	[uchar,vchar,metwind] = getwinddef(nc)
	182	if uchar == 'not found': winds = False
[579]	183	### we tell the user that either no var or no wind is not acceptable
[392]	184	if not varname and not winds: errormess("please set at least winds or var",printvar=nc.variables)
[579]	185	### we get the coordinates lat/lon to be used
[399]	186	[lon2d,lat2d] = getcoorddef(nc)
[579]	187	### we get an adapted map projection if none is provided by the user
[548]	188	if proj == None: proj = getproj(nc)
[579]	189	### we define plot boundaries given projection or user choices
[489]	190	if firstfile:
	191	if proj in ["npstere","spstere"]: [wlon,wlat] = polarinterv(lon2d,lat2d)
	192	elif proj in ["lcc","laea"]: [wlon,wlat] = wrfinterv(lon2d,lat2d)
	193	else: [wlon,wlat] = simplinterv(lon2d,lat2d)
	194	if zoom: [wlon,wlat] = zoomset(wlon,wlat,zoom)
[558]	195	elif zarea is not None: [wlon,wlat] = latinterv(area=zarea)
[489]	196
[725]	197	#############################################################
	198	############ WE LOAD 4D DIMENSIONS : x, y, z, t #############
	199	#############################################################
	200
[781]	201	###should be available for GCM or simple files ?
	202	##if ope in ["cat"] and nnn > 0: count = time[-1] + 1 ## so that a cat is possible with simple subscripts
	203
[725]	204	### TYPE 1 : GCM files or simple files
[558]	205	if typefile in ["gcm","earthgcm","ecmwf"]:
[725]	206	### this is needed for continuity
[610]	207	if slon is not None: sslon = slon
	208	if slat is not None: sslat = slat
[725]	209	### we define lat/lon vectors. we get what was done in getcoorddef.
[735]	210	lat = lat2d[:,0] ; lon = lon2d[0,:]
[725]	211	### we define areas. this is needed for calculate means and weight with area. this is not compulsory (see reduce_field).
	212	if "aire" in nc.variables: area = nc.variables["aire"][:,:]
	213	### --> add a line here if your reference is not present
	214	else: area = None
	215	### we define altitude vector. either it is referenced or it is guessed based on last variable's dimensions.
[721]	216	if "altitude" in nc.variables: vert = nc.variables["altitude"][:]
	217	elif "Alt" in nc.variables: vert = nc.variables["Alt"][:]
	218	elif "lev" in nc.variables: vert = nc.variables["lev"][:]
	219	elif "presnivs" in nc.variables: vert = nc.variables["presnivs"][:]
[725]	220	### --> add a line here if your reference is not present
[724]	221	else:
[725]	222	print "No altitude found. Try to build a simple axis." ; dadim = getdimfromvar(nc)
[724]	223	if len(dadim) == 4: print "-- 4D field. Assume z is dim 2." ; vert = np.arange(dadim[-3])
	224	elif len(dadim) == 3: print "-- 3D field. Assume z is dim 1." ; vert = [0.]
[725]	225	else: vert = [0.]
	226	### we define time vector. either it is referenced or it is guessed based on last variable's dimensions.
[525]	227	if "Time" in nc.variables: time = nc.variables["Time"][:]
[748]	228	elif "time_counter" in nc.variables: time = nc.variables["time_counter"][:]/86400. #### convert from s to days
[525]	229	elif "time" in nc.variables: time = nc.variables["time"][:]
[725]	230	### --> add a line here if your reference is not present
[724]	231	else:
	232	print "No time found. Try to build a simple axis. Assume t is dim 1."
	233	dadim = getdimfromvar(nc)
	234	if len(dadim) == 4: time = np.arange(dadim[-4])
	235	elif len(dadim) == 3: time = np.arange(dadim[-3])
[725]	236	else: time = [0.] #errormess("no time axis found.")
	237	### (SPECIFIC. convert to Ls for Martian GCM files.)
[640]	238	if axtime in ["ls"]:
	239	print "converting to Ls ..."
	240	for iii in range(len(time)):
[673]	241	time[iii] = sol2ls(time[iii])
[640]	242	if iii > 0:
[725]	243	while abs(time[iii]-time[iii-1]) > 300: time[iii] = time[iii]+360
	244	### (a case where the user would like to set local times. e.g. : 1D plot with no longitude reference)
[494]	245	if axtime in ["lt"]:
	246	if initime == -1: initime=input("Please type initial local time:")
[725]	247	time = (initime+time*24)%24 ; print "LOCAL TIMES.... ", time
	248
	249	### TYPE 2 : MESOSCALE FILES
[548]	250	elif typefile in ['meso','geo']:
[725]	251	### area not active with mesoscale files
	252	area = None
	253	### HACK TO GET THE CORRECT LAT/LON FROM MESOSCALE FILES WITH 2D LAT/LON ARRAYS
	254	### principle: calculate correct indices then repopulate slon and slat
[490]	255	if slon is not None or slat is not None:
[725]	256	show_topo_map_user = ((save == 'png') and (typefile == 'meso') and ("HGT" in varinfile) and display)
	257	if firstfile and show_topo_map_user: iwantawhereplot = nc #show a topo map with a cross on the chosen point
	258	else: iwantawhereplot = None #do not show anything, just select indices
[490]	259	numlon = 1 ; numlat = 1
[610]	260	if slon is not None: numlon = slon.shape[1]
	261	if slat is not None: numlat = slat.shape[1]
[490]	262	indices = np.ones([numlon,numlat,2]) ; vlon = None ; vlat = None
	263	for iii in range(numlon):
	264	for jjj in range(numlat):
[610]	265	if slon is not None: vlon = slon[0][iii] ### note: slon[:][0] does not work
	266	if slat is not None: vlat = slat[0][jjj] ### note: slon[:][0] does not work
[490]	267	indices[iii,jjj,:] = bidimfind(lon2d,lat2d,vlon,vlat,file=iwantawhereplot)
	268	lonp,latp = ( lon2d[indices[iii,jjj,0],indices[iii,jjj,1]] , lat2d[indices[iii,jjj,0],indices[iii,jjj,1]] )
[587]	269	### possible bug here if several --lat
[490]	270	for iii in range(numlon):
	271	for jjj in range(numlat):
[610]	272	if slon is not None: sslon[0][iii] = indices[iii,0,1] #...this is idx
	273	if slat is not None: sslat[0][jjj] = indices[0,jjj,0] #...this is idy
[490]	274	lonp,latp = ( lon2d[indices[0,0,0],indices[0,0,1]] , lat2d[indices[0,0,0],indices[0,0,1]] )
[725]	275	### we get rid of boundary relaxation zone for plots. important to do that now and not before.
	276	if typefile in ['meso'] and mapmode == 1: lon2d = dumpbdy(lon2d,6) ; lat2d = dumpbdy(lat2d,6)
	277	### we read the keyword for vertical dimension. we take care for vertical staggering.
[393]	278	if varname in ['PHTOT','W']: vertdim='BOTTOM-TOP_PATCH_END_STAG'
	279	else: vertdim='BOTTOM-TOP_PATCH_END_UNSTAG'
[490]	280	if (var2 is not None and var2 not in ['PHTOT','W']): dumped_vert_stag=True ; vertdim='BOTTOM-TOP_PATCH_END_UNSTAG'
	281	else: dumped_vert_stag=False
[725]	282	### we read the keyword for horizontal dimensions. we take care for horizontal staggering.
[393]	283	if varname in ['V']: latdim='SOUTH-NORTH_PATCH_END_STAG'
	284	else: latdim='SOUTH-NORTH_PATCH_END_UNSTAG'
	285	if varname in ['U']: londim='WEST-EAST_PATCH_END_STAG'
	286	else: londim='WEST-EAST_PATCH_END_UNSTAG'
[402]	287	lon = np.arange(0,getattr(nc,londim),1) ; lat = np.arange(0,getattr(nc,latdim),1)
[725]	288	### we define the time axis and take care of various specificities (lt, ls, sol) or issues (concatenation)
[468]	289	if axtime in ["ls","sol"]:
	290	lstab, soltab, lttab = getlschar ( namefile, getaxis = True )
	291	if axtime == "ls": time = lstab
	292	elif axtime == "sol": time = soltab
	293	else:
[665]	294	if ope in ["cat"] and nnn > 0: count = time[-1] + 1 ## so that a cat is possible with simple subscripts
	295	else: count = 0
[613]	296	if "Times" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Times"]),1)
	297	elif "Time" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Time"]),1)
	298	else: time = count + np.arange(0,1,1)
[489]	299	if axtime in ["lt"]:
[569]	300	ftime = np.zeros(len(time))
	301	for i in range(len(time)):
[763]	302	ftime[i] = localtime ( time[i], slon , nc )
[569]	303	time=ftime
	304	time=check_localtime(time)
[489]	305	print "LOCAL TIMES.... ", time
[725]	306	### we define the vertical axis (or lack thereof) and cover possibilities for it to be altitude, pressure, geopotential. quite SPECIFIC.
[426]	307	if typefile in ['geo']: vert = [0.] ; stime = readslices(str(0))
	308	else:
	309	if vertmode is None: vertmode=0
[687]	310	if vertmode == 0:
	311	if "vert" in nc.variables: vert = nc.variables["vert"][:]/1000. ; vertmode = 1
	312	else: vert = np.arange(0,getattr(nc,vertdim),1)
[562]	313	elif vertmode == -1: vert = nc.variables["PHTOT"][0,:,0,0]/3.72 ; vert = np.array(vert[0:len(vert)-1]) #; print vert
[610]	314	elif vertmode == 1 or vertmode == 2: vert = nc.variables["vert"][:] ## pressure in Pa
	315	else: vert = nc.variables["vert"][:]/1000. ## altitude in km
[725]	316	####################################################################
	317	############ END of WE LOAD 4D DIMENSIONS : x, y, z, t #############
	318	####################################################################
[345]	319
[760]	320	### we fill the arrays of varname, namefile, time, colorbar at the current step considered (NB: why use both k and nnn ?)
[402]	321	all_varname[k] = varname
	322	all_namefile[k] = namefile
[406]	323	all_time[k] = time
[763]	324	all_vert[k] = vert
	325	all_lat[k] = lat
	326	all_lon[k] = lon
[760]	327	all_colorb[k] = clb[vvv]
[763]	328	if var2: all_var2[k], plot_x[k], plot_y[k] = select_getfield(zvarname=var2,znc=nc,ztypefile=typefile,mode='getvar',ztsat=tsat,ylon=all_lon[k],ylat=all_lat[k],yalt=all_vert[k],ytime=all_time[k],analysis=analysis)
[451]	329	if winds: all_windu[k] = getfield(nc,uchar) ; all_windv[k] = getfield(nc,vchar)
[725]	330	### we fill the arrays of fields to be plotted at the current step considered
[763]	331	all_var[k], plot_x[k], plot_y[k] = select_getfield(zvarname=all_varname[k],znc=nc,ztypefile=typefile,mode='getvar',ztsat=tsat,ylon=all_lon[k],ylat=all_lat[k],yalt=all_vert[k],ytime=all_time[k],analysis=analysis)
	332
	333	# last line of for namefile in namefiles
[468]	334	print "**** GOT SUBDATA:",k," NAMEFILE:",namefile," VAR:",varname, var2 ; k += 1 ; firstfile = False
[345]	335
[725]	336	### note to self : stopped comment rewriting here.
	337
[359]	338	##################################
[763]	339	### Operation on files (I) with _var
	340	if ope is not None and "var" in ope:
	341	print "********** OPERATION: ",ope
	342	if len(namefiles) > 1: errormess("for this operation... please set only one file !")
	343	if len(var) > 2: errormess("not sure this works for more than 2 vars... please check.")
	344	if "div_var" in ope: all_var[k] = all_var[k-2] / all_var[k-1] ; insert = '_div_'
	345	elif "mul_var" in ope: all_var[k] = all_var[k-2] * all_var[k-1] ; insert = '_mul_'
	346	elif "add_var" in ope: all_var[k] = all_var[k-2] + all_var[k-1] ; insert = '_add_'
	347	elif "sub_var" in ope: all_var[k] = all_var[k-2] - all_var[k-1] ; insert = '_sub_'
	348	else: errormess(ope+" : non-implemented operation. Check pp.py --help")
	349	plot_x[k] = None ; plot_y[k] = None
	350	all_time[k] = all_time[k-1] ; all_vert[k] = all_vert[k-1] ; all_lat[k] = all_lat[k-1] ; all_lon[k] = all_lon[k-1] ; all_namefile[k] = all_namefile[k-1]
	351	all_varname[k] = all_varname[k-2] + insert + all_varname[k-1]
	352	if len(clb) >= zelen: all_colorb[k] = clb[-1] # last additional user-defined color is for operation plot
	353	else: all_colorb[k] = all_colorb[k-1] # if no additional user-defined color... set same as var
	354	### only the operation plot. do not mention colorb so that it is user-defined?
	355	if "only" in ope:
	356	numplot = 1 ; all_var[0] = all_var[k]
	357	all_time[0] = all_time[k] ; all_vert[0] = all_vert[k] ; all_lat[0] = all_lat[k] ; all_lon[0] = all_lon[k] ; all_namefile[0] = all_namefile[k]
	358	all_varname[0] = all_varname[k-2] + insert + all_varname[k-1]
[721]	359
	360
[345]	361	##################################
[763]	362	### Operation on files (II) without _var
	363	# we re-iterate on the plots to set operation subplots to make it compatible with multifile (using the same ref file)
	364	# (k+1)%3==0 is the index of operation plots
	365	# (k+2)%3==0 is the index of reference plots
	366	# (k+3)%3==0 is the index of first plots
	367	opefirstpass=True
	368	if ope is not None and "var" not in ope:
	369	print "********** OPERATION: ",ope
	370	for k in np.arange(zelen):
	371	if len(var) > 1: errormess("for this operation... please set only one var !")
	372	if ope in ["-","+","-%","-_only","+_only","-%_only","-_histo"]:
	373	if fileref is None: errormess("fileref is missing!")
	374	else:ncref = Dataset(fileref)
	375
	376	if opefirstpass: ## first plots
	377	for ll in np.arange(len(namefiles)):
	378	print "SETTING FIRST PLOT"
	379	all_varname[3ll] = all_varname[ll] ; all_time[3ll] = all_time[ll] ; all_vert[3ll] = all_vert[ll] ; all_lat[3ll] = all_lat[ll] ; all_lon[3ll] = all_lon[ll] ; all_namefile[3ll] = all_namefile[ll] ; all_var2[3ll] = all_var2[ll] ; all_colorb[3ll] = all_colorb[ll] ; all_var[3*ll] = all_var[ll]
	380	if plot_y[ll] is not None: plot_y[3ll] = plot_y[ll] ; plot_x[3ll] = plot_x[ll]
	381	else: plot_y[3ll] = None ; plot_x[3ll] = None
	382	opefirstpass=False
	383
	384	if (k+2)%3==0: ## reference plots
	385	print "SETTING REFERENCE PLOT"
	386	all_varname[k] = all_varname[k-1] ; all_time[k] = all_time[k-1] ; all_vert[k] = all_vert[k-1] ; all_lat[k] = all_lat[k-1] ; all_lon[k] = all_lon[k-1] ; all_namefile[k] = all_namefile[k-1] ; all_var2[k] = all_var2[k-1] ; all_colorb[k] = all_colorb[k-1]
	387	all_var[k], plot_x[k], plot_y[k] = select_getfield(zvarname=all_varname[k-1],znc=ncref,ztypefile=typefile,mode='getvar',ztsat=tsat,ylon=all_lon[k],ylat=all_lat[k],yalt=all_vert[k],ytime=all_time[k],analysis=analysis)
	388	if winds: all_windu[k] = getfield(ncref,uchar) ; all_windv[k] = getfield(ncref,vchar)
	389
	390	if (k+1)%3==0: ## operation plots
	391	print "SETTING OPERATION PLOT"
	392	all_varname[k] = all_varname[k-1] ; all_time[k] = all_time[k-1] ; all_vert[k] = all_vert[k-1] ; all_lat[k] = all_lat[k-1] ; all_lon[k] = all_lon[k-1] ; all_namefile[k] = all_namefile[k-1] ; all_var2[k] = all_var2[k-1]
	393	if ope in ["-","-_only","-_histo"]:
	394	all_var[k]= all_var[k-2] - all_var[k-1]
	395	if plot_y[k-1] is not None and plot_y[k-2] is not None: plot_y[k] = plot_y[k-2] - plot_y[k-1]
	396	if plot_y[k-2] is None: plot_y[k] = None; plot_x[k] = None
	397	elif ope in ["+","+_only"]:
	398	all_var[k]= all_var[k-2] + all_var[k-1]
	399	if plot_y[k-1] is not None and plot_y[k-2] is not None: plot_y[k] = plot_y[k-2] + plot_y[k-1]
	400	if plot_y[k-2] is None: plot_y[k] = None; plot_x[k] = None
	401	elif ope in ["-%","-%_only"]:
	402	masked = np.ma.masked_where(all_var[k-1] == 0,all_var[k-1])
	403	masked.set_fill_value([np.NaN])
	404	all_var[k]= 100.*(all_var[k-2] - masked)/masked
	405	if plot_y[k-1] is not None and plot_y[k-2] is not None:
	406	masked = np.ma.masked_where(plot_y[k-1] == 0,plot_y[k-1])
	407	masked.set_fill_value([np.NaN])
	408	plot_y[k]= 100.*(plot_y[k-2] - masked)/masked
	409	if plot_y[k-2] is None: plot_y[k] = None; plot_x[k] = None
	410	if len(clb) >= zelen: all_colorb[k] = clb[-1]
	411	else: all_colorb[k] = "RdBu_r" # if no additional user-defined color... set a good default one
	412	if winds: all_windu[k] = all_windu[k-2]-all_windu[k-1] ; all_windv[k] = all_windv[k-2] - all_windv[k-1]
	413
	414	elif ope in ["cat"]:
	415	tabtime = all_time[0];tab = all_var[0];k = 1
	416	if var2: tab2 = all_var2[0]
	417	while k != len(namefiles) and len(all_time[k]) != 0:
	418	if var2: tab2 = np.append(tab2,all_var2[k],axis=0)
	419	tabtime = np.append(tabtime,all_time[k]) ; tab = np.append(tab,all_var[k],axis=0) ; k += 1
	420	all_time[0] = np.array(tabtime) ; all_var[0] = np.array(tab) ; numplot = 1
	421	if var2: all_var2[0] = np.array(tab2)
	422	else: errormess(ope+" : non-implemented operation. Check pp.py --help")
	423	if "only" in ope:
	424	numplot = 1 ; all_var[0] = all_var[k]
	425	all_time[0] = all_time[k] ; all_vert[0] = all_vert[k] ; all_lat[0] = all_lat[k] ; all_lon[0] = all_lon[k] ; all_namefile[0] = all_namefile[k] ; plot_x[0]=plot_x[k] ; plot_y[0]=plot_y[k]
	426	all_varname[0] = all_varname[k]
	427
	428	##################################
[345]	429	### Open a figure and set subplots
	430	fig = figure()
	431	subv,subh = definesubplot( numplot, fig )
[763]	432	if ope in ['-','-%','-_histo'] and len(namefiles) ==1 : subv,subh = 2,2
	433	elif ope in ['-','-%'] and len(namefiles)>1 : subv, subh = len(namefiles), 3
[345]	434
	435	#################################
	436	### Time loop for plotting device
[763]	437	nplot = 1 ; error = False ; firstpass = True
[612]	438	if lstyle is not None: linecycler = cycle(lstyle)
	439	else: linecycler = cycle(["-","--","-.",":"])
[392]	440	print "********************************************"
[345]	441	while error is False:
[458]	442
[763]	443	print "********** PLOT", nplot, " OF ",numplot
[424]	444	if nplot > numplot: break
[345]	445
[424]	446	####################################################################
[392]	447	## get all indexes to be taken into account for this subplot and then reduce field
	448	## 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
[423]	449	if ope is not None:
[763]	450	if fileref is not None: index_f = ((nplot-1)//(nlonnlatnvertntime))%(3len(namefiles)) ## OK only 1 var, see test in the beginning
[423]	451	elif "var" in ope: index_f = ((nplot-1)//(nlonnlatnvert*ntime))%(len(var)+1) ## OK only 1 file, see test in the beginning
[451]	452	elif "cat" in ope: index_f = 0
[763]	453	elif not firstpass:
	454	if len(namefiles) > 1 and len(var) == 1 and which == "unidim": pass
	455	else: yeah = len(namefiles)len(var) ; index_f = ((nplot-1)//(nlonnlatnvertntime))%yeah
	456	else: yeah = len(namefiles)len(var) ; index_f = ((nplot-1)//(nlonnlatnvertntime))%yeah
	457	time = all_time[index_f] ; vert = all_vert[index_f] ; lat = all_lat[index_f] ; lon = all_lon[index_f]
	458	indexlon = getsindex(sslon,(nplot-1)%nlon,lon)
	459	indexlat = getsindex(sslat,((nplot-1)//nlon)%nlat,lat)
	460	indexvert = getsindex(svert,((nplot-1)//(nlon*nlat))%nvert,vert)
	461	plotx=plot_x[index_f] ; ploty=plot_y[index_f]
[435]	462	if mrate is not None: indextime = None
	463	else: indextime = getsindex(stime,((nplot-1)//(nlonnlatnvert))%ntime,time)
[426]	464	ltst = None
[763]	465	if typefile in ['meso'] and indextime is not None and len(indextime) < 2: ltst = localtime ( indextime, slon , nc)
[468]	466	print "********** INDEX LON:",indexlon," LAT:",indexlat," VERT:",indexvert," TIME:",indextime
[490]	467	##var = nc.variables["phisinit"][:,:]
	468	##contourf(np.transpose(var),30,cmap = get_cmap(name="Greys_r") ) ; axis('off') ; plot(indexlat,indexlon,'mx',mew=4.0,ms=20.0)
	469	##show()
	470	##exit()
	471	#truc = True
	472	#truc = False
	473	#if truc: indexvert = None
[424]	474	####################################################################
[475]	475	########## REDUCE FIELDS
	476	####################################################################
[448]	477	error = False
[392]	478	varname = all_varname[index_f]
[763]	479	which=''
[448]	480	if varname: ### what is shaded.
[436]	481	what_I_plot, error = reducefield( all_var[index_f], d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \
[717]	482	yint=yintegral, alt=vert, anomaly=anomaly, redope=redope, mesharea=area, unidim=is1d)
[516]	483	if mult != 2718.: what_I_plot = what_I_plot*mult
	484	else: what_I_plot = np.log10(what_I_plot) ; print "log plot"
[760]	485
[451]	486	if var2: ### what is contoured.
[448]	487	what_I_plot_contour, error = reducefield( all_var2[index_f], d4=indextime, d1=indexlon, d2=indexlat , d3=indexvert, \
[760]	488	yint=yintegral, alt=vert )
[451]	489	if winds: ### what is plot as vectors.
	490	vecx, error = reducefield( all_windu[index_f], d4=indextime, d3=indexvert, yint=yintegral, alt=vert)
	491	vecy, error = reducefield( all_windv[index_f], d4=indextime, d3=indexvert, yint=yintegral, alt=vert)
[490]	492	if varname in [uchar,vchar]: what_I_plot = np.sqrt( np.square(vecx) + np.square(vecy) ) ; varname = "wind"
[763]	493
	494	if plotx is not None:
	495	plotx, error = reducefield( plotx, d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \
	496	yint=yintegral, alt=vert, anomaly=anomaly, redope=redope, mesharea=area, unidim=is1d)
	497	ploty, error = reducefield( ploty, d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \
	498	yint=yintegral, alt=vert, anomaly=anomaly, redope=redope, mesharea=area, unidim=is1d)
	499	which='xy'
[490]	500	#####################################################################
	501	#if truc:
	502	# nx = what_I_plot.shape[2] ; ny = what_I_plot.shape[1] ; nz = what_I_plot.shape[0]
	503	# for k in range(nz): print k,' over ',nz ; what_I_plot[k,:,:] = what_I_plot[k,:,:] / smooth(what_I_plot[k,:,:],12)
	504	# for iii in range(nx):
	505	# for jjj in range(ny):
	506	# deviation = what_I_plot[:,jjj,iii] ; mx = max(deviation) ; mn = min(deviation)
	507	# 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
	508	# else: what_I_plot[0,jjj,iii] = 0.
	509	# if np.abs(what_I_plot[0,jjj,iii]) > 1.5:
	510	# print iii,jjj,what_I_plot[0,jjj,iii],int(abs(1.-mx)100.),int(abs(1.-mn)100.)
	511	# plot(rel)
	512	# show()
	513	# anomaly = True ### pour avoir les bons reglages plots
	514	# what_I_plot = what_I_plot[0,:,:]
	515	#####################################################################
	516
[448]	517	####################################################################
[458]	518	### General plot settings
[763]	519	changesubplot = (numplot > 1) and (len(what_I_plot.shape) != 1) and (which != "xy") ## default for 1D plots: superimposed. to be reworked for better flexibility.
[518]	520	if changesubplot: subplot(subv,subh,nplot) #; subplots_adjust(wspace=0,hspace=0)
[760]	521	colorb = all_colorb[index_f]
[458]	522	####################################################################
[475]	523	if error:
	524	errormess("There is an error in reducing field !")
	525	else:
[448]	526	ticks = ndiv + 1
[405]	527	fvar = varname
	528	if anomaly: fvar = 'anomaly'
[475]	529	###
	530	if mapmode == 0: ### could this be moved inside imov loop ?
[430]	531	itime=indextime
[587]	532	if len(what_I_plot.shape) == 3: itime=[0]
[475]	533	m = None ; x = None ; y = None
[608]	534	latyeah = lat ; lonyeah = lon
	535	if typefile in ['meso']:
	536	# now that the section is determined we can set the real lat
	537	# ... or for now, a temptative one.
	538	if slon is not None: latyeah = lat2d[:,0]
	539	if slat is not None: lonyeah = lon2d[0,:]
	540	what_I_plot, x, y = define_axis(lonyeah,latyeah,vert,time,indexlon,indexlat,indexvert,\
[763]	541	itime,what_I_plot, len(all_var[index_f].shape),vertmode,redope)
[475]	542	###
[763]	543	if (fileref is not None) and ((index_f+1)%3 == 0): zevmin, zevmax = calculate_bounds(what_I_plot,vmin=minop,vmax=maxop)
[405]	544	else: zevmin, zevmax = calculate_bounds(what_I_plot,vmin=vmin,vmax=vmax)
[760]	545	#if (fileref is not None) and (index_f == numplot-1): colorb = "RdBu_r"
[518]	546	if colorb in ["def","nobar","onebar"]: palette = get_cmap(name=defcolorb(fvar.upper()))
[436]	547	else: palette = get_cmap(name=colorb)
[490]	548	#palette = cm.GMT_split
[489]	549	##### 1. ELIMINATE 0D or >3D CASES
	550	if len(what_I_plot.shape) == 0:
	551	print "VALUE VALUE VALUE VALUE ::: ",what_I_plot
	552	save = 'donothing'
	553	elif len(what_I_plot.shape) >= 4:
[475]	554	print "WARNING!!! ",len(what_I_plot.shape),"-D PLOT NOT SUPPORTED !!! dimensions: ",what_I_plot.shape
	555	errormess("Are you sure you did not forget to prescribe a dimension ?")
	556	##### 2. HANDLE simple 1D/2D field and movies of 1D/2D fields
	557	else:
[434]	558	if mrate is not None: iend=len(time)-1
[448]	559	else: iend=0
[763]	560	imov = 0
	561	if analysis in ['density','histo','fft','histodensity']: which="xy"
	562	elif len(what_I_plot.shape) == 3:
	563	if var2 and which == '': which = "contour" ## have to start with contours rather than shading
	564	elif which == '': which = "regular"
[475]	565	if mrate is None: errormess("3D field. Use --rate RATE for movie or specify --time TIME. Exit.")
	566	elif len(what_I_plot.shape) == 2:
[763]	567	if var2 and which == '': which = "contour" ## have to start with contours rather than shading
	568	elif which == '': which = "regular"
	569	if mrate is not None and which == '': which = "unidim"
	570	elif len(what_I_plot.shape) == 1 and which == '' :
[475]	571	which = "unidim"
[562]	572	if what_I_plot.shape[-1] == 1: print "VALUE VALUE VALUE VALUE ::: ", what_I_plot[0] ; save = 'donothing'
[763]	573	## if which == "unidim" and len(namefiles) > 1: numplot = 1 # this case is similar to several vars from one file
[475]	574	##### IMOV LOOP #### IMOV LOOP
[430]	575	while imov <= iend:
[448]	576	print "-> frame ",imov+1, which
	577	if which == "regular":
	578	if mrate is None: what_I_plot_frame = what_I_plot
	579	else: what_I_plot_frame = what_I_plot[imov,:,:]
[451]	580	if winds:
	581	if mrate is None: vecx_frame = vecx ; vecy_frame = vecy
	582	else: vecx_frame = vecx[imov,:,:] ; vecy_frame = vecy[imov,:,:]
[448]	583	elif which == "contour":
	584	if mrate is None or what_I_plot_contour.ndim < 3: what_I_plot_frame = what_I_plot_contour
	585	else: what_I_plot_frame = what_I_plot_contour[imov,:,:]
[475]	586	elif which == "unidim":
	587	if mrate is None: what_I_plot_frame = what_I_plot
	588	else: what_I_plot_frame = what_I_plot[:,imov] ## because swapaxes
	589	#if mrate is not None:
	590	if mapmode == 1:
[763]	591	m = define_proj(proj,wlon,wlat,back=back,blat=blat,blon=blon) ## this is dirty, defined above but out of imov loop
	592	x, y = m(lon2d, lat2d) ## this is dirty, defined above but out of imov loop
[548]	593	if typefile in ['meso'] and mapmode == 1: what_I_plot_frame = dumpbdy(what_I_plot_frame,6,condition=True)
[464]	594	# if typefile in ['mesoideal']: what_I_plot_frame = dumpbdy(what_I_plot_frame,0,stag='W',condition=dumped_vert_stag)
[444]	595
[475]	596	if which == "unidim":
[763]	597	# if lbls is not None: lbl=lbls[nplot-1]
	598	if lbls is not None: lbl=lbls[index_f]
[612]	599	else:
	600	lbl = ""
	601	if indexlat is not None: lbl = lbl + " ix" + str(indexlat[0])
	602	if indexlon is not None: lbl = lbl + " iy" + str(indexlon[0])
	603	if indexvert is not None: lbl = lbl + " iz" + str(indexvert[0])
	604	if indextime is not None: lbl = lbl + " it" + str(indextime[0])
[647]	605	if lbl == "": lbl = all_namefile[index_f]
[569]	606
[475]	607	if mrate is not None: x = y ## because swapaxes...
[490]	608	#what_I_plot_frame = np.diff(what_I_plot_frame, n=1) ; x = x[1:]
[587]	609
	610	zeline = next(linecycler) ## "-" for simple lines
	611	if tile: zemarker = 'x'
	612	else: zemarker = None
[579]	613	this_is_a_regular_plot = (indexvert is not None) or (indextime is None) or (indexlat is None) or (indexlon is None)
[587]	614	if this_is_a_regular_plot: plot(x,what_I_plot_frame,zeline,label=lbl,marker=zemarker) ## vertical profile
	615	else: plot(what_I_plot_frame,x,zeline,label=lbl,marker=zemarker) ## regular plot
[475]	616	if nplot > 1: legend(loc='best')
[502]	617	if indextime is None and axtime is not None and xlab is None: xlabel(axtime.upper()) ## define the right label
[642]	618	if save == 'txt': writeascii(np.transpose([x,np.transpose(what_I_plot)]),'profile'+str(nplot*1000+imov)+'.txt')
[475]	619
[763]	620	elif which == "xy":
	621	if lbls is not None: lbl=lbls[index_f]
	622	else: lbl=None
	623	if analysis is not None:
	624	if analysis == 'histo':
	625	if zelen == 1:
	626	mpl.pyplot.hist(ploty.flatten(),bins=ndiv,normed=True, alpha=0.67, facecolor = 'green', label = lbls)
	627	mpl.pyplot.legend()
	628	mpl.pyplot.grid(True)
	629	mpl.pyplot.title(zetitle)
	630	else:
	631	multiplot[index_f]=ploty.flatten()
	632	if index_f == zelen-1:
	633	if ope is not None: multiplot = getVar(multiplot,3*np.arange((index_f+1)/3)+2) ## we only compute histograms for the operation plots
	634	mpl.pyplot.hist(multiplot,bins=ndiv,normed=True, alpha=0.75, label = lbls)
	635	mpl.pyplot.legend()
	636	mpl.pyplot.grid(True)
	637	mpl.pyplot.title(zetitle)
	638	elif analysis in ['density','histodensity']:
	639	if ope is not None and (index_f+1)%3 !=0: pass
	640	else:
	641	plotx = np.linspace(min(ploty.flatten()),max(ploty.flatten()),1000)
	642	density = gaussian_kde(ploty.flatten())
	643	# density.covariance_factor = lambda : .25 # adjust the covariance factor to change the bandwidth if needed
	644	# density._compute_covariance()
	645	# display the mean and variance of the kde:
	646	sample = density.resample(size=20000)
	647	n, (smin, smax), sm, sv, ss, sk = describe(sample[0])
	648	mpl.pyplot.plot(plotx,density(plotx), label = lbl+'\nmean: '+str(sm)[0:5]+' std: '+str(np.sqrt(sv))[0:5]+'\nskewness: '+str(ss)[0:5]+' kurtosis: '+str(sk)[0:5])
	649	if analysis == 'histodensity': # plot both histo and density (to assess the rightness of the kernel density estimate for exemple) and display the estimated variance
	650	mpl.pyplot.hist(ploty.flatten(),bins=ndiv,normed=True, alpha=0.30, label = lbl)
	651	if index_f == zelen-1: mpl.pyplot.legend() ; mpl.pyplot.title(zetitle)
	652	else:
	653	plot(plotx,ploty,label = lbl)
	654	if index_f == zelen-1: mpl.pyplot.legend() ; mpl.pyplot.title(zetitle)
	655	mpl.pyplot.grid(True)
	656	else:
	657	plot(plotx,ploty,label = lbl)
	658	if index_f == zelen-1: mpl.pyplot.legend() ; mpl.pyplot.title(zetitle)
	659	if varname == 'hodograph':
	660	a=0
	661	for ii in np.arange(len(time)):
	662	if a%6 == 0: mpl.pyplot.text(plotx[ii],ploty[ii],time[ii])
	663	a=a+1
	664	mpl.pyplot.grid(True)
	665
[569]	666	elif which == "regular":
[647]	667
	668	# plot stream lines if there is a stream file and a vert/lat slice. Might not work with movies ??
	669	if streamflag and sslat is None and svert is None:
	670	streamfile = all_namefile[index_f].replace('.nc','_stream.nc')
	671	teststream = os.path.exists(streamfile)
	672	if teststream:
	673	print 'INFO: Using stream file',streamfile, 'for stream lines'
	674	ncstream = Dataset(streamfile)
	675	psi = getfield(ncstream,'psi')
	676	psi = psi[0,:,:,0] # time and longitude are dummy dimensions
	677	if psi.shape[1] != len(x) or psi.shape[0] != len(y):
	678	errormess('stream file does not fit! Dimensions: '+str(psi.shape)+' '+str(x.shape)+' '+str(y.shape))
	679	zelevels = np.arange(-1.e10,1.e10,1.e9)
	680	zemin = np.min(abs(zelevels))
	681	zemax = np.max(abs(zelevels))
	682	zewidth = (abs(zelevels)-zemin)*(5.- 0.5)/(zemax - zemin) + 0.5 # linewidth ranges from 5 to 0.5
	683	cs = contour( x,y,psi, zelevels, colors='k', linewidths = zewidth)
	684	clabel(cs, inline=True, fontsize = 4.*rcParams['font.size']/5., fmt="%1.1e")
	685	else:
	686	print 'WARNING: STREAM FILE',streamfile, 'DOES NOT EXIST !'
	687
[448]	688	if hole: what_I_plot_frame = hole_bounds(what_I_plot_frame,zevmin,zevmax)
	689	else: what_I_plot_frame = bounds(what_I_plot_frame,zevmin,zevmax)
	690	if flagnolow: what_I_plot_frame = nolow(what_I_plot_frame)
	691	if not tile:
	692	#zelevels = np.linspace(zevmin(1. + 1.e-7),zevmax(1. - 1.e-7)) #,num=20)
	693	zelevels = np.linspace(zevmin,zevmax,num=ticks)
[548]	694	#what_I_plot_frame = smooth(what_I_plot_frame,100)
[453]	695	if mapmode == 1: m.contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans)
	696	elif mapmode == 0: contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans)
[612]	697	if cross is not None and mapmode == 1:
	698	idx,idy=m(cross[0][0],cross[0][1])
	699	mpl.pyplot.plot([idx],[idy],'+k',mew=0.5,ms=18)
[448]	700	else:
[458]	701	if mapmode == 1: m.pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans)
	702	elif mapmode == 0: pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans)
[647]	703
[475]	704
[518]	705	if colorb not in ['nobar','onebar']:
[763]	706	if (fileref is not None) and ((index_f+1)%3 == 0): daformat = "%.3f"
[468]	707	elif mult != 1: daformat = "%.1f"
[448]	708	else: daformat = fmtvar(fvar.upper())
[603]	709	#if proj in ['moll','cyl']: zeorientation="horizontal" ; zepad = 0.05
	710	if proj in ['moll']: zeorientation="horizontal" ; zepad = 0.05
[599]	711	else: zeorientation="vertical" ; zepad = 0.03
	712	zecb = colorbar( fraction=0.05,pad=zepad,format=daformat,orientation=zeorientation,\
[468]	713	ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional' )
[578]	714	if zeorientation == "horizontal" and zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]=""
[451]	715	if winds:
[548]	716	if typefile in ['meso']:
[451]	717	[vecx_frame,vecy_frame] = [dumpbdy(vecx_frame,6,stag=uchar,condition=True), dumpbdy(vecy_frame,6,stag=vchar,condition=True)]
	718	key = True
[637]	719	if fvar in ['UV','uv','uvmet']: key = False
[451]	720	elif typefile in ['gcm']:
	721	key = False
[548]	722	if metwind and mapmode == 1: [vecx_frame,vecy_frame] = m.rotate_vector(vecx_frame, vecy_frame, lon2d, lat2d)
[721]	723	if trans != 0.0: colorvec = definecolorvec(colorb)
	724	else: colorvec = definecolorvec(back)
[451]	725	vectorfield(vecx_frame, vecy_frame, x, y, stride=stride, csmooth=2,\
	726	#scale=15., factor=300., color=colorvec, key=key)
[721]	727	scale=20., factor=250./facwind, color=colorvec, key=key)
[451]	728	#200. ## or csmooth=stride
[721]	729	### THIS IS A QUITE SPECIFIC PIECE (does not work for mesoscale files)
[763]	730	if ope == '-_histo' and nplot == numplot: # this should work as long as ope is '-' guarantees 3 plots for 4 panels without contour
[640]	731	subplot(subv,subh,nplot+1)
[642]	732	rcParams["legend.fontsize"] = 'xx-large'
[641]	733	if indexlat is None:
	734	latmin = -50.; latmax = 50. # latitude range for histogram of difference
[640]	735	zeindexlat = (lat<latmax)*(lat>latmin)
[721]	736	if typefile in ['meso']: zeindexlat = 10
[642]	737	# this follows the define_axis logic in myplot.py:
	738	if indextime is None or indexlon is None: what_I_plot_frame = what_I_plot_frame[zeindexlat,:]
	739	else: what_I_plot_frame = what_I_plot_frame[:,zeindexlat]
[640]	740	toplot = np.ravel(what_I_plot_frame[np.isnan(what_I_plot_frame)==False])
[641]	741	zebins = np.linspace(zevmin,zevmax,num=30)
[640]	742	hist(toplot,bins=zebins,histtype='step',linewidth=2,color='k',normed=True)
[647]	743	zestd = np.std(toplot);zemean = np.mean(toplot)
[641]	744	zebins = np.linspace(zevmin,zevmax,num=300)
[640]	745	zegauss = (1./(zestd * np.sqrt(2 * np.pi)) * np.exp( - (zebins - zemean)*2 / (2 zestd**2) ) )
[642]	746	plot(zebins, zegauss, linewidth=1, color='r',label="mean: "+str(zemean)[0:5]+"\nstd: "+str(zestd)[0:5])
	747	legend(loc=0,frameon=False)
[640]	748	subplot(subv,subh,nplot) # go back to last plot for title of contour difference
[763]	749	if ope is not None and "only" not in ope: title("fig(1) "+ope+" fig(2)")
	750	elif ope is not None and "only" in ope: title("fig(1) "+ope[0]+" fig(2)")
[642]	751
[448]	752	elif which == "contour":
[562]	753	zevminc, zevmaxc = calculate_bounds(what_I_plot_frame, vmin=min(what_I_plot_frame), vmax=max(what_I_plot_frame))
[448]	754	zelevels = np.linspace(zevminc,zevmaxc,ticks/2) #20)
[721]	755	### another dirty specific stuff in the wall
[748]	756	if var2 == 'HGT': zelevels = np.arange(-10000.,30000.,500.) #1000.)
[721]	757	elif var2 == 'tpot': zelevels = np.arange(270,370,5)
	758	elif var2 == 'tk': zelevels = np.arange(150,250,5)
	759	elif var2 == 'wstar': zelevels = np.arange(0,10,1.0)
	760	elif var2 == 'zmax_th': zelevels = np.arange(0,10,2.0) ; what_I_plot_frame = what_I_plot_frame / 1000.
	761	###
[608]	762	if mapmode == 0:
[637]	763	what_I_plot_frame, x, y = define_axis( lonyeah,latyeah,vert,time,indexlon,indexlat,indexvert,\
[763]	764	itime,what_I_plot_frame, len(all_var2[index_f].shape),vertmode,redope)
[637]	765	## is this needed? only if len(all_var2[index_f].shape) != len(all_var[index_f].shape)
	766	cs = contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33)#, alpha=0.5, linestyles='solid')
[721]	767	#cs = contour( x,y,what_I_plot_frame, zelevels, colors='w', linewidths = 0.5)#, alpha=0.5, linestyles='solid')
[637]	768	clabel(cs, inline=1, fontsize = 4.*rcParams['font.size']/5., fmt=fmtvar(var2.upper()))
[721]	769	elif mapmode == 1:
	770	cs = m.contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33)#, alpha=0.5, linestyles='solid')
	771	#clabel(cs, inline=0, fontsize = rcParams['font.size'], fmt="%.0f") #fmtvar(var2.upper()))
[763]	772	if which in ["regular","unidim","xy"]:
[448]	773
[763]	774	if nplot > 1 and which in ["unidim","xy"]:
[475]	775	pass ## because we superimpose nplot instances
	776	else:
	777	# Axis directives for movie frames [including the first one).
	778	zxmin, zxmax = xaxis ; zymin, zymax = yaxis
	779	if zxmin is not None: mpl.pyplot.xlim(xmin=zxmin)
	780	if zxmax is not None: mpl.pyplot.xlim(xmax=zxmax)
	781	if zymin is not None: mpl.pyplot.ylim(ymin=zymin)
	782	if zymax is not None: mpl.pyplot.ylim(ymax=zymax)
[763]	783	if ylog and not xlog: mpl.pyplot.semilogy()
	784	if xlog and not ylog: mpl.pyplot.semilogx()
	785	if xlog and ylog:
	786	mpl.pyplot.xscale('log')
	787	mpl.pyplot.yscale('log')
[475]	788	if invert_y: ax = mpl.pyplot.gca() ; ax.set_ylim(ax.get_ylim()[::-1])
[502]	789	if xlab is not None: xlabel(xlab)
	790	if ylab is not None: ylabel(ylab)
[475]	791
[448]	792	if mrate is not None:
[451]	793	### THIS IS A MENCODER MOVIE
	794	if mrate > 0:
	795	figframe=mpl.pyplot.gcf()
	796	if mquality: figframe.set_dpi(600.)
	797	else: figframe.set_dpi(200.)
	798	mframe=fig2img(figframe)
	799	if imov == 0:
	800	moviename='movie' ;W,H = figframe.canvas.get_width_height()
	801	video = VideoSink((H,W), moviename, rate=mrate, byteorder="rgba")
	802	video.run(mframe) ; close()
	803	if imov == iend: video.close()
	804	### THIS IS A WEBPAGE MOVIE
	805	else:
	806	nameframe = "image"+str(1000+imov)
	807	makeplotres(nameframe,res=100.,disp=False) ; close()
	808	if imov == 0: myfile = open("zepics", 'w')
	809	myfile.write("modImages["+str(imov)+"] = '"+nameframe+"_100.png';"+ '\n')
	810	if imov == iend:
	811	myfile.write("first_image = 0;"+ '\n')
	812	myfile.write("last_image = "+str(iend)+";"+ '\n')
	813	myfile.close()
[475]	814	if var2 and which == "regular": which = "contour"
[448]	815	imov = imov+1
	816	elif which == "contour":
	817	which = "regular"
	818
[345]	819	### Next subplot
[483]	820	zevarname = varname
	821	if redope is not None: zevarname = zevarname + "_" + redope
	822	basename = getname(var=zevarname,var2=var2,winds=winds,anomaly=anomaly)
[462]	823	if len(what_I_plot.shape) > 3:
	824	basename = basename + getstralt(nc,level)
[451]	825	if mrate is not None: basename = "movie_" + basename
[548]	826	if typefile in ['meso']:
[569]	827	if sslon is not None: basename = basename + "_lon_" + str(int(round(lonp)))
	828	if sslat is not None: basename = basename + "_lat_" + str(int(round(latp)))
[349]	829	plottitle = basename
[468]	830	### dans le nouveau systeme time=ls,sol,lt cette ligne pourrait ne servir a rien (ou deplacer au dessus)
	831	if addchar and indextime is not None: [addchar,gogol,gogol2] = getlschar ( all_namefile[index_f] ) ; plottitle = plottitle + addchar
[485]	832	### en fait redope is None doit etre remplace par : n'est ni maxt ni mint
	833	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]	834	else:
[359]	835	if fileref is not None:
[763]	836	if (index_f+1)%3 == 0: plottitle = basename+' '+"fig(1) "+ope+" fig(2)"
	837	elif (index_f+2)%3 == 0: plottitle = basename+' '+fileref
	838	else: plottitle = basename+' '+all_namefile[index_f]
[647]	839	else: plottitle = basename+' '+all_namefile[index_f]
[468]	840	if mult != 1: plottitle = '{:.0e}'.format(mult) + "*" + plottitle
[578]	841	if zetitle[0] != "fill":
[580]	842	if index_f < len(zetitle): plottitle = zetitle[index_f]
	843	else: plottitle = zetitle[0]
[578]	844	if titleref is "fill": titleref=zetitle[index_f]
[763]	845	if fileref is not None and which != "xy":
	846	if (index_f+2)%3 == 0: plottitle = titleref
	847	if (index_f+1)%3 == 0: plottitle = "fig(1) "+ope+" fig(2)"
[402]	848	# if indexlon is not None: plottitle = plottitle + " lon: " + str(min(lon[indexlon])) +" "+ str(max(lon[indexlon]))
	849	# if indexlat is not None: plottitle = plottitle + " lat: " + str(min(lat[indexlat])) +" "+ str(max(lat[indexlat]))
	850	# if indexvert is not None: plottitle = plottitle + " vert: " + str(min(vert[indexvert])) +" "+ str(max(vert[indexvert]))
	851	# if indextime is not None: plottitle = plottitle + " time: " + str(min(time[indextime])) +" "+ str(max(time[indextime]))
[518]	852	if colorb != "onebar": title( plottitle )
[402]	853	if nplot >= numplot: error = True
[345]	854	nplot += 1
	855
[763]	856	if len(namefiles) > 1 and len(var) == 1 and which == "unidim": index_f=index_f+1
	857	firstpass=False
	858
[518]	859	if colorb == "onebar":
	860	cax = axes([0.1, 0.2, 0.8, 0.03]) # a ameliorer
	861	zecb = colorbar(cax=cax, orientation="horizontal", format=fmtvar(fvar.upper()),\
	862	ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional')
[578]	863	if zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]=""
[345]	864
[612]	865
[345]	866	##########################################################################
	867	### Save the figure in a file in the data folder or an user-defined folder
[359]	868	if outputname is None:
[548]	869	if typefile in ['meso']: prefix = getprefix(nc)
[359]	870	elif typefile in ['gcm']: prefix = 'LMD_GCM_'
	871	else: prefix = ''
[345]	872	###
[359]	873	zeplot = prefix + basename
[721]	874	if zoom: zeplot = zeplot + "zoom"+str(abs(zoom))
[359]	875	if addchar: zeplot = zeplot + addchar
	876	if numplot <= 0: zeplot = zeplot + "_LT"+str(abs(numplot))
[345]	877	###
[359]	878	if not target: zeplot = namefile[0:find(namefile,'wrfout')] + zeplot
	879	else: zeplot = target + "/" + zeplot
[345]	880	###
[359]	881	else:
	882	zeplot=outputname
	883
[436]	884	if mrate is None:
	885	pad_inches_value = 0.35
[760]	886	if wlon[1]-wlon[0] < 2.: pad_inches_value = 0.5 # LOCAL MODE (small values)
[436]	887	print "********** SAVE ", save
	888	if save == 'png':
	889	if display: makeplotres(zeplot,res=100.,pad_inches_value=pad_inches_value) #,erase=True) ## a miniature
	890	makeplotres(zeplot,res=resolution,pad_inches_value=pad_inches_value,disp=False)
	891	elif save in ['eps','svg','pdf']: makeplotres(zeplot,pad_inches_value=pad_inches_value,disp=False,ext=save)
	892	elif save == 'gui': show()
[489]	893	elif save == 'donothing': pass
[436]	894	elif save == 'txt': print "Saved results in txt file."
	895	else:
	896	print "INFO: save mode not supported. using gui instead."
	897	show()
[345]	898
[447]	899	###################################
	900	#### Getting more out of this video -- PROBLEMS WITH CREATED VIDEOS
	901	#
	902	#if mrate is not None:
	903	# print "Re-encoding movie.. first pass"
	904	# video.first_pass(filename=moviename,quality=mquality,rate=mrate)
	905	# print "Re-encoding movie.. second pass"
	906	# video.second_pass(filename=moviename,quality=mquality,rate=mrate)
[444]	907
[345]	908	###############
	909	### Now the end
	910	return zeplot

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