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source: trunk/UTIL/PYTHON/planetoplot.py @ 792

Last change on this file since 792 was 792, checked in by acolaitis, 12 years ago

PYTHON GRAPHICS

Added option --finddevil which finds the steepest pressure drop in the PSFC field of the file, and add a cross in it's position.

This new function is intended to provide lon and lat of a dust devil to planetoplot. This could be used to drive a slice plot at the corresponding location.

Removed dumpbdy for LES files (no relaxation zone)
Added --mark mode to tiled plot
Added routines in mymath to convert back and forth between greyscale Image objects and 2D arrays

Property svn:executable set to *

File size: 59.8 KB

Line
1	#######################
2	##### PLANETOPLOT #####
3	#######################
4
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
7	### A. Colaitis -- LMD -- 11/2011 -- Mostly minor improvements and inter-plot operation capabilities + zrecast interpolation for gcm
8	### A. Spiga -- LMD -- 11~12/2011 -- Extended multivar subplot capabilities + cosmetic changes + general cleaning and tests
9	### A. Colaitis -- LMD -- 12/2011 -- Added movie capability [mencoder must be installed]
10	### A. Spiga -- LMD -- 12/2011 -- Added HTML animated page capability + general tests of consistency [winds, etc...] + consistent generic movie loop
11	### J. Leconte -- LMD -- 02/2012 -- Added area weighted averaging. Compatibility with terrestrial gcm.
12	### A. Spiga -- LMD -- 03/2012 -- Cleaning and improved comments
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
16	### A. Colaitis -- LMD -- 08/2012 -- Added functionalities for further analysis: spectra, hodographs, etc... plus improved flexibility (e.g. grid)
17
18	def planetoplot (namefiles,\
19	level=0,\
20	vertmode=0,\
21	proj=None,\
22	back=None,\
23	target=None,
24	stride=3,\
25	var=None,\
26	clb=None,\
27	winds=False,\
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.,\
40	zetitle=["fill"],\
41	slon=None,\
42	slat=None,\
43	svert=None,\
44	stime=None,\
45	outputname=None,\
46	resolution=200,\
47	ope=None,\
48	fileref=None,\
49	minop=0.,\
50	maxop=0.,\
51	titleref="fill",\
52	invert_y=False,\
53	xaxis=[None,None],\
54	yaxis=[None,None],\
55	ylog=False,\
56	xlog=False,\
57	yintegral=False,\
58	blat=None,\
59	blon=None,\
60	tsat=False,\
61	flagnolow=False,\
62	mrate=None,\
63	mquality=False,\
64	trans=1,\
65	zarea=None,\
66	axtime=None,\
67	redope=None,\
68	seevar=False,\
69	xlab=None,\
70	ylab=None,\
71	lbls=None,\
72	lstyle=None,\
73	cross=None,\
74	markdevil=False,\
75	facwind=1.,\
76	trycol=False,\
77	streamflag=False,\
78	analysis=None):
79
80	####################################################################################################################
81	### Colorbars http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps?action=AttachFile&do=get&target=colormaps3.png
82
83	#################################
84	### Load librairies and functions
85	from netCDF4 import Dataset
86	from myplot import getcoord2d,define_proj,makeplotres,simplinterv,vectorfield,ptitle,latinterv,getproj,wrfinterv,dumpbdy,\
87	fmtvar,definecolorvec,defcolorb,getprefix,putpoints,calculate_bounds,errormess,definesubplot,\
88	zoomset,getcoorddef,getwinddef,whatkindfile,reducefield,bounds,getstralt,getfield,smooth,nolow,\
89	getname,localtime,check_localtime,polarinterv,getsindex,define_axis,determineplot,readslices,bidimfind,getlschar,hole_bounds,\
90	getdimfromvar,select_getfield,find_devil
91	from mymath import deg,max,min,mean,writeascii,fig2data,fig2img
92	import matplotlib as mpl
93	from matplotlib.pyplot import contour,contourf,hist, text,subplot, figure, rcParams, savefig, colorbar, \
94	pcolor, show, plot, clabel, title, close, legend, xlabel, axis, ylabel, \
95	subplots_adjust, axes, clabel
96	from matplotlib.cm import get_cmap
97	#from mpl_toolkits.basemap import cm
98	import numpy as np
99	from numpy.core.defchararray import find
100	from scipy.stats import gaussian_kde,describe
101	from videosink import VideoSink
102	from times import sol2ls
103	import subprocess
104	#from singlet import singlet
105	from itertools import cycle
106	import os
107
108	#########################
109	### PRELIMINARY STUFF ###
110	#########################
111	### we say hello
112	print "********************************************"
113	print "******** WELCOME TO PLANETOPLOT ********"
114	print "********************************************"
115	### we ensure namefiles and var are arrays
116	if not isinstance(namefiles, np.ndarray): namefiles = [namefiles]
117	if not isinstance(var, np.ndarray): var = [var]
118	### we initialize a few variables
119	initime=-1 ; sslon = None ; sslat = None
120	k = 0 ; firstfile = True ; count = 0
121	### we perform sanity checks and correct for insufficient information
122	if slon is not None: sslon = np.zeros([1,2])
123	if slat is not None: sslat = np.zeros([1,2])
124	if clb is None: clb = ["def"]*len(var)
125	elif len(clb) < len(var): clb = [clb[0]]*len(var) ; print "WARNING: less color than vars! setting all to 1st value."
126	### we set option trycol i.e. the user wants to try a set of colorbars
127	if trycol: clb = ["Greys","Blues","YlOrRd","jet","spectral","hot","RdBu","RdYlBu","Paired"] ; zetitle = clb ; var = [var[0]]*9
128	### we avoid specific cases not yet implemented
129	if mrate is not None and len(var) > 1: errormess("multivar not allowed in movies. should be fixed soon!")
130	### we prepare number of plot fields [zelen] and number of plot instances [numplot] according to user choices
131	### --> we support multifile and multivar plots : files + vars separated by commas are on the same figure
132	nlon, nlat, nvert, ntime, mapmode, nslices = determineplot(slon, slat, svert, stime, redope)
133	zelen = len(namefiles)*len(var)
134	### we correct number of plot fields for possible operation (substract, etc...)
135	if ope is not None:
136	if fileref is not None: zelen = 3len(var)len(namefiles)
137	elif "var" in ope: zelen = zelen + 1
138	numplot = zelen*nslices
139	print "********** FILES, SLICES, VARS, TOTAL PLOTS: ", len(namefiles), nslices, len(var), numplot
140	print "********** MAPMODE: ", mapmode
141	### we define the arrays for plot fields -- which will be placed within multiplot loops
142	all_var = [[]]zelen ; all_var2 = [[]]zelen
143	all_title = [[]]zelen ; all_varname = [[]]zelen ; all_namefile = [[]]zelen ; all_colorb = [[]]zelen
144	all_time = [[]]zelen ; all_vert = [[]]zelen ; all_lat = [[]]zelen ; all_lon = [[]]zelen
145	all_windu = [[]]zelen ; all_windv = [[]]zelen
146	plot_x = [[]]zelen ; plot_y = [[]]zelen ; multiplot = [[]]*zelen
147	### tool (should be move to mymath)
148	getVar = lambda searchList, ind: [searchList[i] for i in ind]
149	#############################
150	### LOOP OVER PLOT FIELDS ###
151	#############################
152
153	for nnn in range(len(namefiles)):
154	for vvv in range(len(var)):
155
156	### we load each NETCDF objects in namefiles
157	namefile = namefiles[nnn]
158	nc = Dataset(namefile)
159	### we explore the variables in the file
160	varinfile = nc.variables.keys()
161	if seevar: print varinfile ; exit()
162	### we define the type of file we have (gcm, meso, etc...)
163	typefile = whatkindfile(nc)
164	if firstfile: typefile0 = typefile
165	elif typefile != typefile0: errormess("Not the same kind of files !", [typefile0, typefile])
166	### we care for input file being 1D simulations
167	is1d=999
168	if "longitude" in nc.dimensions and "latitude" in nc.dimensions: is1d = len(nc.variables["longitude"][:])*len(nc.variables["latitude"][:])
169	elif "lon" in nc.dimensions and "lat" in nc.dimensions: is1d = len(nc.variables["lon"][:])*len(nc.variables["lat"][:])
170	if typefile in ['gcm','earthgcm'] and is1d == 1: mapmode=0 ; winds=False
171	### we create default vert and time prescriptions if not here in case mapping mode is on (lat/lon maps)
172	if redope is None and mapmode == 1:
173	if svert is None: svert = readslices(str(level)) ; nvert=1
174	if stime is None and mrate is None:
175	stime = readslices(str(0)) ; ntime=1 ## this is a default choice
176	print "WELL... nothing about time axis. I took default: first time reference stored in file."
177	### we get the names of variables to be read. in case only one available, we choose this one.
178	### (we take out of the test specific names e.g. UV is not in the file but used to ask a wind speed computation)
179	varname = select_getfield(zvarname=var[vvv],znc=nc,ztypefile=typefile,mode='check')
180	### we get the names of wind variables to be read (if any)
181	if winds:
182	[uchar,vchar,metwind] = getwinddef(nc)
183	if uchar == 'not found': winds = False
184	### we tell the user that either no var or no wind is not acceptable
185	if not varname and not winds: errormess("please set at least winds or var",printvar=nc.variables)
186	### we get the coordinates lat/lon to be used
187	[lon2d,lat2d] = getcoorddef(nc)
188	### we get an adapted map projection if none is provided by the user
189	if proj == None: proj = getproj(nc)
190	### we define plot boundaries given projection or user choices
191	if firstfile:
192	if proj in ["npstere","spstere"]: [wlon,wlat] = polarinterv(lon2d,lat2d)
193	elif proj in ["lcc","laea"]: [wlon,wlat] = wrfinterv(lon2d,lat2d)
194	else: [wlon,wlat] = simplinterv(lon2d,lat2d)
195	if zoom: [wlon,wlat] = zoomset(wlon,wlat,zoom)
196	elif zarea is not None: [wlon,wlat] = latinterv(area=zarea)
197
198	#############################################################
199	############ WE LOAD 4D DIMENSIONS : x, y, z, t #############
200	#############################################################
201
202	###should be available for GCM or simple files ?
203	##if ope in ["cat"] and nnn > 0: count = time[-1] + 1 ## so that a cat is possible with simple subscripts
204
205	### TYPE 1 : GCM files or simple files
206	if typefile in ["gcm","earthgcm","ecmwf"]:
207	### this is needed for continuity
208	if slon is not None: sslon = slon
209	if slat is not None: sslat = slat
210	### we define lat/lon vectors. we get what was done in getcoorddef.
211	lat = lat2d[:,0] ; lon = lon2d[0,:]
212	### we define areas. this is needed for calculate means and weight with area. this is not compulsory (see reduce_field).
213	if "aire" in nc.variables: area = nc.variables["aire"][:,:]
214	### --> add a line here if your reference is not present
215	else: area = None
216	### we define altitude vector. either it is referenced or it is guessed based on last variable's dimensions.
217	if "altitude" in nc.variables: vert = nc.variables["altitude"][:]
218	elif "Alt" in nc.variables: vert = nc.variables["Alt"][:]
219	elif "lev" in nc.variables: vert = nc.variables["lev"][:]
220	elif "presnivs" in nc.variables: vert = nc.variables["presnivs"][:]
221	### --> add a line here if your reference is not present
222	else:
223	print "No altitude found. Try to build a simple axis." ; dadim = getdimfromvar(nc)
224	if len(dadim) == 4: print "-- 4D field. Assume z is dim 2." ; vert = np.arange(dadim[-3])
225	elif len(dadim) == 3: print "-- 3D field. Assume z is dim 1." ; vert = [0.]
226	else: vert = [0.]
227	### we define time vector. either it is referenced or it is guessed based on last variable's dimensions.
228	if "Time" in nc.variables: time = nc.variables["Time"][:]
229	elif "time_counter" in nc.variables: time = nc.variables["time_counter"][:]/86400. #### convert from s to days
230	elif "time" in nc.variables: time = nc.variables["time"][:]
231	### --> add a line here if your reference is not present
232	else:
233	print "No time found. Try to build a simple axis. Assume t is dim 1."
234	dadim = getdimfromvar(nc)
235	if len(dadim) == 4: time = np.arange(dadim[-4])
236	elif len(dadim) == 3: time = np.arange(dadim[-3])
237	else: time = [0.] #errormess("no time axis found.")
238	### (SPECIFIC. convert to Ls for Martian GCM files.)
239	if axtime in ["ls"]:
240	print "converting to Ls ..."
241	for iii in range(len(time)):
242	time[iii] = sol2ls(time[iii])
243	if iii > 0:
244	while abs(time[iii]-time[iii-1]) > 300: time[iii] = time[iii]+360
245	### (a case where the user would like to set local times. e.g. : 1D plot with no longitude reference)
246	if axtime in ["lt"]:
247	if initime == -1: initime=input("Please type initial local time:")
248	time = (initime+time*24)%24 ; print "LOCAL TIMES.... ", time
249
250	### TYPE 2 : MESOSCALE FILES
251	elif typefile in ['meso','geo']:
252	### area not active with mesoscale files
253	area = None
254	### HACK TO GET THE CORRECT LAT/LON FROM MESOSCALE FILES WITH 2D LAT/LON ARRAYS
255	### principle: calculate correct indices then repopulate slon and slat
256	if slon is not None or slat is not None:
257	show_topo_map_user = ((save == 'png') and (typefile == 'meso') and ("HGT" in varinfile) and display)
258	if firstfile and show_topo_map_user: iwantawhereplot = nc #show a topo map with a cross on the chosen point
259	else: iwantawhereplot = None #do not show anything, just select indices
260	numlon = 1 ; numlat = 1
261	if slon is not None: numlon = slon.shape[1]
262	if slat is not None: numlat = slat.shape[1]
263	indices = np.ones([numlon,numlat,2]) ; vlon = None ; vlat = None
264	for iii in range(numlon):
265	for jjj in range(numlat):
266	if slon is not None: vlon = slon[0][iii] ### note: slon[:][0] does not work
267	if slat is not None: vlat = slat[0][jjj] ### note: slon[:][0] does not work
268	indices[iii,jjj,:] = bidimfind(lon2d,lat2d,vlon,vlat,file=iwantawhereplot)
269	lonp,latp = ( lon2d[indices[iii,jjj,0],indices[iii,jjj,1]] , lat2d[indices[iii,jjj,0],indices[iii,jjj,1]] )
270	### possible bug here if several --lat
271	for iii in range(numlon):
272	for jjj in range(numlat):
273	if slon is not None: sslon[0][iii] = indices[iii,0,1] #...this is idx
274	if slat is not None: sslat[0][jjj] = indices[0,jjj,0] #...this is idy
275	lonp,latp = ( lon2d[indices[0,0,0],indices[0,0,1]] , lat2d[indices[0,0,0],indices[0,0,1]] )
276	### we get rid of boundary relaxation zone for plots. important to do that now and not before.
277	if typefile in ['meso'] and mapmode == 1:
278	if '9999' not in getattr(nc,'START_DATE'): lon2d = dumpbdy(lon2d,6) ; lat2d = dumpbdy(lat2d,6)
279	### we read the keyword for vertical dimension. we take care for vertical staggering.
280	if varname in ['PHTOT','W']: vertdim='BOTTOM-TOP_PATCH_END_STAG'
281	else: vertdim='BOTTOM-TOP_PATCH_END_UNSTAG'
282	if (var2 is not None and var2 not in ['PHTOT','W']): dumped_vert_stag=True ; vertdim='BOTTOM-TOP_PATCH_END_UNSTAG'
283	else: dumped_vert_stag=False
284	### we read the keyword for horizontal dimensions. we take care for horizontal staggering.
285	if varname in ['V']: latdim='SOUTH-NORTH_PATCH_END_STAG'
286	else: latdim='SOUTH-NORTH_PATCH_END_UNSTAG'
287	if varname in ['U']: londim='WEST-EAST_PATCH_END_STAG'
288	else: londim='WEST-EAST_PATCH_END_UNSTAG'
289	lon = np.arange(0,getattr(nc,londim),1) ; lat = np.arange(0,getattr(nc,latdim),1)
290	### we define the time axis and take care of various specificities (lt, ls, sol) or issues (concatenation)
291	if axtime in ["ls","sol"]:
292	lstab, soltab, lttab = getlschar ( namefile, getaxis = True )
293	if axtime == "ls": time = lstab
294	elif axtime == "sol": time = soltab
295	else:
296	if ope in ["cat"] and nnn > 0: count = time[-1] + 1 ## so that a cat is possible with simple subscripts
297	else: count = 0
298	if "Times" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Times"]),1)
299	elif "Time" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Time"]),1)
300	else: time = count + np.arange(0,1,1)
301	if axtime in ["lt"]:
302	ftime = np.zeros(len(time))
303	for i in range(len(time)): ftime[i] = localtime ( time[i], slon , namefile )
304	time=ftime ; time=check_localtime(time)
305	print "LOCAL TIMES.... ", time
306	### we define the vertical axis (or lack thereof) and cover possibilities for it to be altitude, pressure, geopotential. quite SPECIFIC.
307	if typefile in ['geo']: vert = [0.] ; stime = readslices(str(0))
308	else:
309	if vertmode is None: vertmode=0
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)
313	elif vertmode == -1: vert = nc.variables["PHTOT"][0,:,0,0]/3.72 ; vert = np.array(vert[0:len(vert)-1]) #; print vert
314	elif vertmode == 1 or vertmode == 2: vert = nc.variables["vert"][:] ## pressure in Pa
315	else: vert = nc.variables["vert"][:]/1000. ## altitude in km
316	####################################################################
317	############ END of WE LOAD 4D DIMENSIONS : x, y, z, t #############
318	####################################################################
319
320	### we fill the arrays of varname, namefile, time, colorbar at the current step considered (NB: why use both k and nnn ?)
321	all_varname[k] = varname
322	all_namefile[k] = namefile
323	all_time[k] = time
324	all_vert[k] = vert
325	all_lat[k] = lat
326	all_lon[k] = lon
327	all_colorb[k] = clb[vvv]
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)
329	if winds: all_windu[k] = getfield(nc,uchar) ; all_windv[k] = getfield(nc,vchar)
330	### we fill the arrays of fields to be plotted at the current step considered
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
334	print "**** GOT SUBDATA:",k," NAMEFILE:",namefile," VAR:",varname, var2 ; k += 1 ; firstfile = False
335
336	### note to self : stopped comment rewriting here.
337
338	##################################
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]
359
360
361	##################################
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	##################################
429	### Open a figure and set subplots
430	fig = figure()
431	subv,subh = definesubplot( numplot, fig )
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
434
435	#################################
436	### Time loop for plotting device
437	nplot = 1 ; error = False ; firstpass = True
438	if lstyle is not None: linecycler = cycle(lstyle)
439	else: linecycler = cycle(["-","--","-.",":"])
440	print "********************************************"
441	while error is False:
442
443	print "********** PLOT", nplot, " OF ",numplot
444	if nplot > numplot: break
445
446	####################################################################
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
449	if ope is not None:
450	if fileref is not None: index_f = ((nplot-1)//(nlonnlatnvertntime))%(3len(namefiles)) ## OK only 1 var, see test in the beginning
451	elif "var" in ope: index_f = ((nplot-1)//(nlonnlatnvert*ntime))%(len(var)+1) ## OK only 1 file, see test in the beginning
452	elif "cat" in ope: index_f = 0
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]
462	if mrate is not None: indextime = None
463	else: indextime = getsindex(stime,((nplot-1)//(nlonnlatnvert))%ntime,time)
464	ltst = None
465	if typefile in ['meso'] and indextime is not None and len(indextime) < 2: ltst = localtime ( indextime, slon , all_namefile[index_f])
466	print "********** INDEX LON:",indexlon," LAT:",indexlat," VERT:",indexvert," TIME:",indextime
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
474	####################################################################
475	########## REDUCE FIELDS
476	####################################################################
477	error = False
478	varname = all_varname[index_f]
479	which=''
480	if varname: ### what is shaded.
481	what_I_plot, error = reducefield( all_var[index_f], d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \
482	yint=yintegral, alt=vert, anomaly=anomaly, redope=redope, mesharea=area, unidim=is1d)
483	if mult != 2718.: what_I_plot = what_I_plot*mult
484	else: what_I_plot = np.log10(what_I_plot) ; print "log plot"
485
486	if var2: ### what is contoured.
487	what_I_plot_contour, error = reducefield( all_var2[index_f], d4=indextime, d1=indexlon, d2=indexlat , d3=indexvert, \
488	yint=yintegral, alt=vert )
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)
492	if varname in [uchar,vchar]: what_I_plot = np.sqrt( np.square(vecx) + np.square(vecy) ) ; varname = "wind"
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'
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
517	####################################################################
518	### General plot settings
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.
520	if changesubplot: subplot(subv,subh,nplot) #; subplots_adjust(wspace=0,hspace=0)
521	colorb = all_colorb[index_f]
522	####################################################################
523	if error:
524	errormess("There is an error in reducing field !")
525	else:
526	ticks = ndiv + 1
527	fvar = varname
528	if anomaly: fvar = 'anomaly'
529	###
530	if mapmode == 0: ### could this be moved inside imov loop ?
531	itime=indextime
532	if len(what_I_plot.shape) == 3: itime=[0]
533	m = None ; x = None ; y = None
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,\
541	itime,what_I_plot, len(all_var[index_f].shape),vertmode,redope)
542	###
543	if (fileref is not None) and ((index_f+1)%3 == 0): zevmin, zevmax = calculate_bounds(what_I_plot,vmin=minop,vmax=maxop)
544	else: zevmin, zevmax = calculate_bounds(what_I_plot,vmin=vmin,vmax=vmax)
545	#if (fileref is not None) and (index_f == numplot-1): colorb = "RdBu_r"
546	if colorb in ["def","nobar","onebar"]: palette = get_cmap(name=defcolorb(fvar.upper()))
547	else: palette = get_cmap(name=colorb)
548	#palette = cm.GMT_split
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:
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:
558	if mrate is not None: iend=len(time)-1
559	else: iend=0
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"
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:
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 == '' :
571	which = "unidim"
572	if what_I_plot.shape[-1] == 1: print "VALUE VALUE VALUE VALUE ::: ", what_I_plot[0] ; save = 'donothing'
573	## if which == "unidim" and len(namefiles) > 1: numplot = 1 # this case is similar to several vars from one file
574	##### IMOV LOOP #### IMOV LOOP
575	while imov <= iend:
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,:,:]
580	if winds:
581	if mrate is None: vecx_frame = vecx ; vecy_frame = vecy
582	else: vecx_frame = vecx[imov,:,:] ; vecy_frame = vecy[imov,:,:]
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,:,:]
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:
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
593	if typefile in ['meso'] and mapmode == 1:
594	if '9999' not in getattr(nc,'START_DATE'): what_I_plot_frame = dumpbdy(what_I_plot_frame,6,condition=True)
595	# if typefile in ['mesoideal']: what_I_plot_frame = dumpbdy(what_I_plot_frame,0,stag='W',condition=dumped_vert_stag)
596
597	if which == "unidim":
598	# if lbls is not None: lbl=lbls[nplot-1]
599	if lbls is not None: lbl=lbls[index_f]
600	else:
601	lbl = ""
602	if indexlat is not None: lbl = lbl + " ix" + str(indexlat[0])
603	if indexlon is not None: lbl = lbl + " iy" + str(indexlon[0])
604	if indexvert is not None: lbl = lbl + " iz" + str(indexvert[0])
605	if indextime is not None: lbl = lbl + " it" + str(indextime[0])
606	if lbl == "": lbl = all_namefile[index_f]
607
608	if mrate is not None: x = y ## because swapaxes...
609	#what_I_plot_frame = np.diff(what_I_plot_frame, n=1) ; x = x[1:]
610
611	zeline = next(linecycler) ## "-" for simple lines
612	if tile: zemarker = 'x'
613	else: zemarker = None
614	this_is_a_regular_plot = (indexvert is not None) or (indextime is None) or (indexlat is None) or (indexlon is None)
615	if this_is_a_regular_plot: plot(x,what_I_plot_frame,zeline,label=lbl,marker=zemarker) ## vertical profile
616	else: plot(what_I_plot_frame,x,zeline,label=lbl,marker=zemarker) ## regular plot
617	if nplot > 1: legend(loc='best')
618	if indextime is None and axtime is not None and xlab is None: xlabel(axtime.upper()) ## define the right label
619	if save == 'txt': writeascii(np.transpose([x,np.transpose(what_I_plot)]),'profile'+str(nplot*1000+imov)+'.txt')
620
621	elif which == "xy":
622	if lbls is not None: lbl=lbls[index_f]
623	else: lbl=None
624	if analysis is not None:
625	if analysis == 'histo':
626	if zelen == 1:
627	mpl.pyplot.hist(ploty.flatten(),bins=ndiv,normed=True, alpha=0.67, facecolor = 'green', label = lbls)
628	mpl.pyplot.legend()
629	mpl.pyplot.grid(True)
630	mpl.pyplot.title(zetitle)
631	else:
632	multiplot[index_f]=ploty.flatten()
633	if index_f == zelen-1:
634	if ope is not None: multiplot = getVar(multiplot,3*np.arange((index_f+1)/3)+2) ## we only compute histograms for the operation plots
635	mpl.pyplot.hist(multiplot,bins=ndiv,normed=True, alpha=0.75, label = lbls)
636	mpl.pyplot.legend()
637	mpl.pyplot.grid(True)
638	mpl.pyplot.title(zetitle)
639	elif analysis in ['density','histodensity']:
640	if ope is not None and (index_f+1)%3 !=0: pass
641	else:
642	plotx = np.linspace(min(ploty.flatten()),max(ploty.flatten()),1000)
643	density = gaussian_kde(ploty.flatten())
644	# density.covariance_factor = lambda : .25 # adjust the covariance factor to change the bandwidth if needed
645	# density._compute_covariance()
646	# display the mean and variance of the kde:
647	sample = density.resample(size=20000)
648	n, (smin, smax), sm, sv, ss, sk = describe(sample[0])
649	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])
650	if analysis == 'histodensity': # plot both histo and density (to assess the rightness of the kernel density estimate for exemple) and display the estimated variance
651	mpl.pyplot.hist(ploty.flatten(),bins=ndiv,normed=True, alpha=0.30, label = lbl)
652	if index_f == zelen-1: mpl.pyplot.legend() ; mpl.pyplot.title(zetitle)
653	else:
654	plot(plotx,ploty,label = lbl)
655	if index_f == zelen-1: mpl.pyplot.legend() ; mpl.pyplot.title(zetitle)
656	mpl.pyplot.grid(True)
657	else:
658	plot(plotx,ploty,label = lbl)
659	if index_f == zelen-1: mpl.pyplot.legend() ; mpl.pyplot.title(zetitle)
660	if varname == 'hodograph':
661	a=0
662	for ii in np.arange(len(time)):
663	if a%6 == 0: mpl.pyplot.text(plotx[ii],ploty[ii],time[ii])
664	a=a+1
665	mpl.pyplot.grid(True)
666
667	elif which == "regular":
668
669	# plot stream lines if there is a stream file and a vert/lat slice. Might not work with movies ??
670	if streamflag and sslat is None and svert is None:
671	streamfile = all_namefile[index_f].replace('.nc','_stream.nc')
672	teststream = os.path.exists(streamfile)
673	if teststream:
674	print 'INFO: Using stream file',streamfile, 'for stream lines'
675	ncstream = Dataset(streamfile)
676	psi = getfield(ncstream,'psi')
677	psi = psi[0,:,:,0] # time and longitude are dummy dimensions
678	if psi.shape[1] != len(x) or psi.shape[0] != len(y):
679	errormess('stream file does not fit! Dimensions: '+str(psi.shape)+' '+str(x.shape)+' '+str(y.shape))
680	zelevels = np.arange(-1.e10,1.e10,1.e9)
681	zemin = np.min(abs(zelevels))
682	zemax = np.max(abs(zelevels))
683	zewidth = (abs(zelevels)-zemin)*(5.- 0.5)/(zemax - zemin) + 0.5 # linewidth ranges from 5 to 0.5
684	cs = contour( x,y,psi, zelevels, colors='k', linewidths = zewidth)
685	clabel(cs, inline=True, fontsize = 4.*rcParams['font.size']/5., fmt="%1.1e")
686	else:
687	print 'WARNING: STREAM FILE',streamfile, 'DOES NOT EXIST !'
688
689	if hole: what_I_plot_frame = hole_bounds(what_I_plot_frame,zevmin,zevmax)
690	else: what_I_plot_frame = bounds(what_I_plot_frame,zevmin,zevmax)
691	if flagnolow: what_I_plot_frame = nolow(what_I_plot_frame)
692	if not tile:
693	#zelevels = np.linspace(zevmin(1. + 1.e-7),zevmax(1. - 1.e-7)) #,num=20)
694	zelevels = np.linspace(zevmin,zevmax,num=ticks)
695	#what_I_plot_frame = smooth(what_I_plot_frame,100)
696	if mapmode == 1: m.contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans)
697	elif mapmode == 0: contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans)
698	else:
699	if mapmode == 1: m.pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans)
700	elif mapmode == 0: pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans)
701
702	if (cross is not None or markdevil) and mapmode == 1:
703	if cross is not None: idx,idy=m(cross[0][0],cross[0][1])
704	elif markdevil:
705	idx,idy=find_devil(nc,indextime)
706	idx,idy=x[idx,idy],y[idx,idy]
707	mpl.pyplot.plot([idx],[idy],'+k',mew=0.5,ms=18)
708
709	if colorb not in ['nobar','onebar']:
710	if (fileref is not None) and ((index_f+1)%3 == 0): daformat = "%.3f"
711	elif mult != 1: daformat = "%.1f"
712	else: daformat = fmtvar(fvar.upper())
713	#if proj in ['moll','cyl']: zeorientation="horizontal" ; zepad = 0.05
714	if proj in ['moll']: zeorientation="horizontal" ; zepad = 0.05
715	else: zeorientation="vertical" ; zepad = 0.03
716	zecb = colorbar( fraction=0.05,pad=zepad,format=daformat,orientation=zeorientation,\
717	ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional' )
718	if zeorientation == "horizontal" and zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]=""
719	if winds:
720	if typefile in ['meso']:
721	if '9999' not in getattr(nc,'START_DATE') : [vecx_frame,vecy_frame] = [dumpbdy(vecx_frame,6,stag=uchar,condition=True), dumpbdy(vecy_frame,6,stag=vchar,condition=True)]
722	key = True
723	if fvar in ['UV','uv','uvmet']: key = False
724	elif typefile in ['gcm']:
725	key = False
726	if metwind and mapmode == 1: [vecx_frame,vecy_frame] = m.rotate_vector(vecx_frame, vecy_frame, lon2d, lat2d)
727	if trans != 0.0: colorvec = definecolorvec(colorb)
728	else: colorvec = definecolorvec(back)
729	vectorfield(vecx_frame, vecy_frame, x, y, stride=stride, csmooth=2,\
730	#scale=15., factor=300., color=colorvec, key=key)
731	scale=20., factor=250./facwind, color=colorvec, key=key)
732	#200. ## or csmooth=stride
733	### THIS IS A QUITE SPECIFIC PIECE (does not work for mesoscale files)
734	if ope == '-_histo' and nplot == numplot: # this should work as long as ope is '-' guarantees 3 plots for 4 panels without contour
735	subplot(subv,subh,nplot+1)
736	rcParams["legend.fontsize"] = 'xx-large'
737	if indexlat is None:
738	latmin = -50.; latmax = 50. # latitude range for histogram of difference
739	zeindexlat = (lat<latmax)*(lat>latmin)
740	if typefile in ['meso']: zeindexlat = 10
741	# this follows the define_axis logic in myplot.py:
742	if indextime is None or indexlon is None: what_I_plot_frame = what_I_plot_frame[zeindexlat,:]
743	else: what_I_plot_frame = what_I_plot_frame[:,zeindexlat]
744	toplot = np.ravel(what_I_plot_frame[np.isnan(what_I_plot_frame)==False])
745	zebins = np.linspace(zevmin,zevmax,num=30)
746	hist(toplot,bins=zebins,histtype='step',linewidth=2,color='k',normed=True)
747	zestd = np.std(toplot);zemean = np.mean(toplot)
748	zebins = np.linspace(zevmin,zevmax,num=300)
749	zegauss = (1./(zestd * np.sqrt(2 * np.pi)) * np.exp( - (zebins - zemean)*2 / (2 zestd**2) ) )
750	plot(zebins, zegauss, linewidth=1, color='r',label="mean: "+str(zemean)[0:5]+"\nstd: "+str(zestd)[0:5])
751	legend(loc=0,frameon=False)
752	subplot(subv,subh,nplot) # go back to last plot for title of contour difference
753	if ope is not None and "only" not in ope: title("fig(1) "+ope+" fig(2)")
754	elif ope is not None and "only" in ope: title("fig(1) "+ope[0]+" fig(2)")
755
756	elif which == "contour":
757	zevminc, zevmaxc = calculate_bounds(what_I_plot_frame, vmin=min(what_I_plot_frame), vmax=max(what_I_plot_frame))
758	zelevels = np.linspace(zevminc,zevmaxc,ticks/2) #20)
759	### another dirty specific stuff in the wall
760	if var2 == 'HGT': zelevels = np.arange(-10000.,30000.,500.) #1000.)
761	elif var2 == 'tpot': zelevels = np.arange(270,370,5)
762	elif var2 == 'tk': zelevels = np.arange(150,250,5)
763	elif var2 == 'wstar': zelevels = np.arange(0,10,1.0)
764	elif var2 == 'zmax_th': zelevels = np.arange(0,10,2.0) ; what_I_plot_frame = what_I_plot_frame / 1000.
765	###
766	if mapmode == 0:
767	what_I_plot_frame, x, y = define_axis( lonyeah,latyeah,vert,time,indexlon,indexlat,indexvert,\
768	itime,what_I_plot_frame, len(all_var2[index_f].shape),vertmode,redope)
769	## is this needed? only if len(all_var2[index_f].shape) != len(all_var[index_f].shape)
770	cs = contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33)#, alpha=0.5, linestyles='solid')
771	#cs = contour( x,y,what_I_plot_frame, zelevels, colors='w', linewidths = 0.5)#, alpha=0.5, linestyles='solid')
772	clabel(cs, inline=1, fontsize = 4.*rcParams['font.size']/5., fmt=fmtvar(var2.upper()))
773	elif mapmode == 1:
774	cs = m.contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33)#, alpha=0.5, linestyles='solid')
775	#clabel(cs, inline=0, fontsize = rcParams['font.size'], fmt="%.0f") #fmtvar(var2.upper()))
776	if which in ["regular","unidim","xy"]:
777
778	if nplot > 1 and which in ["unidim","xy"]:
779	pass ## because we superimpose nplot instances
780	else:
781	# Axis directives for movie frames [including the first one).
782	zxmin, zxmax = xaxis ; zymin, zymax = yaxis
783	if zxmin is not None: mpl.pyplot.xlim(xmin=zxmin)
784	if zxmax is not None: mpl.pyplot.xlim(xmax=zxmax)
785	if zymin is not None: mpl.pyplot.ylim(ymin=zymin)
786	if zymax is not None: mpl.pyplot.ylim(ymax=zymax)
787	if ylog and not xlog: mpl.pyplot.semilogy()
788	if xlog and not ylog: mpl.pyplot.semilogx()
789	if xlog and ylog:
790	mpl.pyplot.xscale('log')
791	mpl.pyplot.yscale('log')
792	if invert_y: ax = mpl.pyplot.gca() ; ax.set_ylim(ax.get_ylim()[::-1])
793	if xlab is not None: xlabel(xlab)
794	if ylab is not None: ylabel(ylab)
795
796	if mrate is not None:
797	### THIS IS A MENCODER MOVIE
798	if mrate > 0:
799	figframe=mpl.pyplot.gcf()
800	if mquality: figframe.set_dpi(600.)
801	else: figframe.set_dpi(200.)
802	mframe=fig2img(figframe)
803	if imov == 0:
804	moviename='movie' ;W,H = figframe.canvas.get_width_height()
805	video = VideoSink((H,W), moviename, rate=mrate, byteorder="rgba")
806	video.run(mframe) ; close()
807	if imov == iend: video.close()
808	### THIS IS A WEBPAGE MOVIE
809	else:
810	nameframe = "image"+str(1000+imov)
811	makeplotres(nameframe,res=100.,disp=False) ; close()
812	if imov == 0: myfile = open("zepics", 'w')
813	myfile.write("modImages["+str(imov)+"] = '"+nameframe+"_100.png';"+ '\n')
814	if imov == iend:
815	myfile.write("first_image = 0;"+ '\n')
816	myfile.write("last_image = "+str(iend)+";"+ '\n')
817	myfile.close()
818	if var2 and which == "regular": which = "contour"
819	imov = imov+1
820	elif which == "contour":
821	which = "regular"
822
823	### Next subplot
824	zevarname = varname
825	if redope is not None: zevarname = zevarname + "_" + redope
826	basename = getname(var=zevarname,var2=var2,winds=winds,anomaly=anomaly)
827	if len(what_I_plot.shape) > 3:
828	basename = basename + getstralt(nc,level)
829	if mrate is not None: basename = "movie_" + basename
830	if typefile in ['meso']:
831	if sslon is not None: basename = basename + "_lon_" + str(int(round(lonp)))
832	if sslat is not None: basename = basename + "_lat_" + str(int(round(latp)))
833	plottitle = basename
834	### dans le nouveau systeme time=ls,sol,lt cette ligne pourrait ne servir a rien (ou deplacer au dessus)
835	if addchar and indextime is not None: [addchar,gogol,gogol2] = getlschar ( all_namefile[index_f] ) ; plottitle = plottitle + addchar
836	### en fait redope is None doit etre remplace par : n'est ni maxt ni mint
837	if redope is None and ltst is not None and ( (mapmode == 0) or (proj in ["lcc","laea","merc","nsper"]) ): plottitle = plottitle + "_LT" + str(ltst)
838	else:
839	if fileref is not None:
840	if (index_f+1)%3 == 0: plottitle = basename+' '+"fig(1) "+ope+" fig(2)"
841	elif (index_f+2)%3 == 0: plottitle = basename+' '+fileref
842	else: plottitle = basename+' '+all_namefile[index_f]
843	else: plottitle = basename+' '+all_namefile[index_f]
844	if mult != 1: plottitle = '{:.0e}'.format(mult) + "*" + plottitle
845	if zetitle[0] != "fill":
846	if index_f < len(zetitle): plottitle = zetitle[index_f]
847	else: plottitle = zetitle[0]
848	if titleref is "fill": titleref=zetitle[index_f]
849	if fileref is not None and which != "xy":
850	if (index_f+2)%3 == 0: plottitle = titleref
851	if (index_f+1)%3 == 0: plottitle = "fig(1) "+ope+" fig(2)"
852	# if indexlon is not None: plottitle = plottitle + " lon: " + str(min(lon[indexlon])) +" "+ str(max(lon[indexlon]))
853	# if indexlat is not None: plottitle = plottitle + " lat: " + str(min(lat[indexlat])) +" "+ str(max(lat[indexlat]))
854	# if indexvert is not None: plottitle = plottitle + " vert: " + str(min(vert[indexvert])) +" "+ str(max(vert[indexvert]))
855	# if indextime is not None: plottitle = plottitle + " time: " + str(min(time[indextime])) +" "+ str(max(time[indextime]))
856	if colorb != "onebar": title( plottitle )
857	if nplot >= numplot: error = True
858	nplot += 1
859
860	if len(namefiles) > 1 and len(var) == 1 and which == "unidim": index_f=index_f+1
861	firstpass=False
862
863	if colorb == "onebar":
864	cax = axes([0.1, 0.2, 0.8, 0.03]) # a ameliorer
865	zecb = colorbar(cax=cax, orientation="horizontal", format=fmtvar(fvar.upper()),\
866	ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional')
867	if zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]=""
868
869
870	##########################################################################
871	### Save the figure in a file in the data folder or an user-defined folder
872	if outputname is None:
873	if typefile in ['meso']: prefix = getprefix(nc)
874	elif typefile in ['gcm']: prefix = 'LMD_GCM_'
875	else: prefix = ''
876	###
877	zeplot = prefix + basename
878	if zoom: zeplot = zeplot + "zoom"+str(abs(zoom))
879	if addchar: zeplot = zeplot + addchar
880	if numplot <= 0: zeplot = zeplot + "_LT"+str(abs(numplot))
881	###
882	if not target: zeplot = namefile[0:find(namefile,'wrfout')] + zeplot
883	else: zeplot = target + "/" + zeplot
884	###
885	else:
886	zeplot=outputname
887
888	if mrate is None:
889	pad_inches_value = 0.35
890	if wlon[1]-wlon[0] < 2.: pad_inches_value = 0.5 # LOCAL MODE (small values)
891	print "********** SAVE ", save
892	if save == 'png':
893	if display: makeplotres(zeplot,res=100.,pad_inches_value=pad_inches_value) #,erase=True) ## a miniature
894	makeplotres(zeplot,res=resolution,pad_inches_value=pad_inches_value,disp=False)
895	elif save in ['eps','svg','pdf']: makeplotres(zeplot,pad_inches_value=pad_inches_value,disp=False,ext=save)
896	elif save == 'gui': show()
897	elif save == 'donothing': pass
898	elif save == 'txt': print "Saved results in txt file."
899	else:
900	print "INFO: save mode not supported. using gui instead."
901	show()
902
903	###################################
904	#### Getting more out of this video -- PROBLEMS WITH CREATED VIDEOS
905	#
906	#if mrate is not None:
907	# print "Re-encoding movie.. first pass"
908	# video.first_pass(filename=moviename,quality=mquality,rate=mrate)
909	# print "Re-encoding movie.. second pass"
910	# video.second_pass(filename=moviename,quality=mquality,rate=mrate)
911
912	###############
913	### Now the end
914	return zeplot

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