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source: trunk/UTIL/PYTHON/planetoplot.py @ 821

Last change on this file since 821 was 817, checked in by aslmd, 13 years ago
UTIL PYTHON : improved projections. improved local time ticks. small bug fix with vertical coordinates. added a keyword nocolorb.
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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	nocolorb=False,\
79	analysis=None):
80
81	####################################################################################################################
82	### Colorbars http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps?action=AttachFile&do=get&target=colormaps3.png
83
84	#################################
85	### Load librairies and functions
86	from netCDF4 import Dataset
87	from myplot import getcoord2d,define_proj,makeplotres,simplinterv,vectorfield,ptitle,latinterv,getproj,wrfinterv,dumpbdy,\
88	fmtvar,definecolorvec,defcolorb,getprefix,putpoints,calculate_bounds,errormess,definesubplot,\
89	zoomset,getcoorddef,getwinddef,whatkindfile,reducefield,bounds,getstralt,getfield,smooth,nolow,\
90	getname,localtime,check_localtime,polarinterv,getsindex,define_axis,determineplot,readslices,bidimfind,getlschar,hole_bounds,\
91	getdimfromvar,select_getfield,find_devil
92	from mymath import deg,max,min,mean,writeascii,fig2data,fig2img
93	import matplotlib as mpl
94	from matplotlib.pyplot import contour,contourf,hist, text,subplot, figure, rcParams, savefig, colorbar, \
95	pcolor, show, plot, clabel, title, close, legend, xlabel, axis, ylabel, \
96	subplots_adjust, axes, clabel
97	from matplotlib.cm import get_cmap
98	#from mpl_toolkits.basemap import cm
99	import numpy as np
100	from numpy.core.defchararray import find
101	from scipy.stats import gaussian_kde,describe
102	from videosink import VideoSink
103	from times import sol2ls
104	import subprocess
105	#from singlet import singlet
106	from itertools import cycle
107	import os
108
109	#########################
110	### PRELIMINARY STUFF ###
111	#########################
112	### we say hello
113	print "********************************************"
114	print "******** WELCOME TO PLANETOPLOT ********"
115	print "********************************************"
116	### we ensure namefiles and var are arrays
117	if not isinstance(namefiles, np.ndarray): namefiles = [namefiles]
118	if not isinstance(var, np.ndarray): var = [var]
119	### we initialize a few variables
120	initime=-1 ; sslon = None ; sslat = None
121	k = 0 ; firstfile = True ; count = 0
122	### we perform sanity checks and correct for insufficient information
123	if slon is not None: sslon = np.zeros([1,2])
124	if slat is not None: sslat = np.zeros([1,2])
125	if clb is None: clb = ["def"]*len(var)
126	elif len(clb) < len(var): clb = [clb[0]]*len(var) ; print "WARNING: less color than vars! setting all to 1st value."
127	### we set option trycol i.e. the user wants to try a set of colorbars
128	if trycol: clb = ["Greys","Blues","YlOrRd","jet","spectral","hot","RdBu","RdYlBu","Paired"] ; zetitle = clb ; var = [var[0]]*9
129	### we avoid specific cases not yet implemented
130	if mrate is not None and len(var) > 1: errormess("multivar not allowed in movies. should be fixed soon!")
131	### we prepare number of plot fields [zelen] and number of plot instances [numplot] according to user choices
132	### --> we support multifile and multivar plots : files + vars separated by commas are on the same figure
133	nlon, nlat, nvert, ntime, mapmode, nslices = determineplot(slon, slat, svert, stime, redope)
134	zelen = len(namefiles)*len(var)
135	### we correct number of plot fields for possible operation (substract, etc...)
136	if ope is not None:
137	if fileref is not None: zelen = 3len(var)len(namefiles)
138	elif "var" in ope: zelen = zelen + 1
139	numplot = zelen*nslices
140	print "********** FILES, SLICES, VARS, TOTAL PLOTS: ", len(namefiles), nslices, len(var), numplot
141	print "********** MAPMODE: ", mapmode
142	### we define the arrays for plot fields -- which will be placed within multiplot loops
143	all_var = [[]]zelen ; all_var2 = [[]]zelen
144	all_title = [[]]zelen ; all_varname = [[]]zelen ; all_namefile = [[]]zelen ; all_colorb = [[]]zelen
145	all_time = [[]]zelen ; all_vert = [[]]zelen ; all_lat = [[]]zelen ; all_lon = [[]]zelen
146	all_windu = [[]]zelen ; all_windv = [[]]zelen
147	plot_x = [[]]zelen ; plot_y = [[]]zelen ; multiplot = [[]]*zelen
148	### tool (should be move to mymath)
149	getVar = lambda searchList, ind: [searchList[i] for i in ind]
150	#############################
151	### LOOP OVER PLOT FIELDS ###
152	#############################
153
154	for nnn in range(len(namefiles)):
155	for vvv in range(len(var)):
156
157	### we load each NETCDF objects in namefiles
158	namefile = namefiles[nnn]
159	nc = Dataset(namefile)
160	### we explore the variables in the file
161	varinfile = nc.variables.keys()
162	if seevar: print varinfile ; exit()
163	### we define the type of file we have (gcm, meso, etc...)
164	typefile = whatkindfile(nc)
165	if firstfile: typefile0 = typefile
166	elif typefile != typefile0: errormess("Not the same kind of files !", [typefile0, typefile])
167	### we care for input file being 1D simulations
168	is1d=999
169	if "longitude" in nc.dimensions and "latitude" in nc.dimensions: is1d = len(nc.variables["longitude"][:])*len(nc.variables["latitude"][:])
170	elif "lon" in nc.dimensions and "lat" in nc.dimensions: is1d = len(nc.variables["lon"][:])*len(nc.variables["lat"][:])
171	if typefile in ['gcm','earthgcm'] and is1d == 1: mapmode=0 ; winds=False
172	### we create default vert and time prescriptions if not here in case mapping mode is on (lat/lon maps)
173	if redope is None and mapmode == 1:
174	if svert is None: svert = readslices(str(level)) ; nvert=1
175	if stime is None and mrate is None:
176	stime = readslices(str(0)) ; ntime=1 ## this is a default choice
177	print "WELL... nothing about time axis. I took default: first time reference stored in file."
178	### we get the names of variables to be read. in case only one available, we choose this one.
179	### (we take out of the test specific names e.g. UV is not in the file but used to ask a wind speed computation)
180	varname = select_getfield(zvarname=var[vvv],znc=nc,ztypefile=typefile,mode='check')
181	### we get the names of wind variables to be read (if any)
182	if winds:
183	[uchar,vchar,metwind] = getwinddef(nc)
184	if uchar == 'not found': winds = False
185	### we tell the user that either no var or no wind is not acceptable
186	if not varname and not winds: errormess("please set at least winds or var",printvar=nc.variables)
187	### we get the coordinates lat/lon to be used
188	[lon2d,lat2d] = getcoorddef(nc)
189	### we get an adapted map projection if none is provided by the user
190	if proj == None: proj = getproj(nc)
191	### we define plot boundaries given projection or user choices
192	if firstfile:
193	if proj in ["npstere","spstere"]: [wlon,wlat] = polarinterv(lon2d,lat2d)
194	elif proj in ["lcc","laea"]: [wlon,wlat] = wrfinterv(lon2d,lat2d)
195	else: [wlon,wlat] = simplinterv(lon2d,lat2d)
196	if zoom: [wlon,wlat] = zoomset(wlon,wlat,zoom)
197	elif zarea is not None: [wlon,wlat] = latinterv(area=zarea)
198
199	#############################################################
200	############ WE LOAD 4D DIMENSIONS : x, y, z, t #############
201	#############################################################
202
203	###should be available for GCM or simple files ?
204	##if ope in ["cat"] and nnn > 0: count = time[-1] + 1 ## so that a cat is possible with simple subscripts
205
206	### TYPE 1 : GCM files or simple files
207	if typefile in ["gcm","earthgcm","ecmwf"]:
208	### this is needed for continuity
209	if slon is not None: sslon = slon
210	if slat is not None: sslat = slat
211	### we define lat/lon vectors. we get what was done in getcoorddef.
212	lat = lat2d[:,0] ; lon = lon2d[0,:]
213	### we define areas. this is needed for calculate means and weight with area. this is not compulsory (see reduce_field).
214	if "aire" in nc.variables: area = nc.variables["aire"][:,:]
215	### --> add a line here if your reference is not present
216	else: area = None
217	### we define altitude vector. either it is referenced or it is guessed based on last variable's dimensions.
218	if "altitude" in nc.variables: vert = nc.variables["altitude"][:]
219	elif "Alt" in nc.variables: vert = nc.variables["Alt"][:]
220	elif "lev" in nc.variables: vert = nc.variables["lev"][:]
221	elif "presnivs" in nc.variables: vert = nc.variables["presnivs"][:]
222	### --> add a line here if your reference is not present
223	else:
224	print "No altitude found. Try to build a simple axis." ; dadim = getdimfromvar(nc)
225	if len(dadim) == 4: print "-- 4D field. Assume z is dim 2." ; vert = np.arange(dadim[-3])
226	elif len(dadim) == 3: print "-- 3D field. Assume z is dim 1." ; vert = [0.]
227	else: vert = [0.]
228	### we define time vector. either it is referenced or it is guessed based on last variable's dimensions.
229	if "Time" in nc.variables: time = nc.variables["Time"][:]
230	elif "time_counter" in nc.variables: time = nc.variables["time_counter"][:]/86400. #### convert from s to days
231	elif "time" in nc.variables: time = nc.variables["time"][:]
232	### --> add a line here if your reference is not present
233	else:
234	print "No time found. Try to build a simple axis. Assume t is dim 1."
235	dadim = getdimfromvar(nc)
236	if len(dadim) == 4: time = np.arange(dadim[-4])
237	elif len(dadim) == 3: time = np.arange(dadim[-3])
238	else: time = [0.] #errormess("no time axis found.")
239	### (SPECIFIC. convert to Ls for Martian GCM files.)
240	if axtime in ["ls"]:
241	print "converting to Ls ..."
242	for iii in range(len(time)):
243	time[iii] = sol2ls(time[iii])
244	if iii > 0:
245	while abs(time[iii]-time[iii-1]) > 300: time[iii] = time[iii]+360
246	### (a case where the user would like to set local times. e.g. : 1D plot with no longitude reference)
247	if axtime in ["lt"]:
248	if initime == -1: initime=input("Please type initial local time:")
249	time = (initime+time*24)%24 ; print "LOCAL TIMES.... ", time
250
251	### TYPE 2 : MESOSCALE FILES
252	elif typefile in ['meso','geo']:
253	### area not active with mesoscale files
254	area = None
255	### HACK TO GET THE CORRECT LAT/LON FROM MESOSCALE FILES WITH 2D LAT/LON ARRAYS
256	### principle: calculate correct indices then repopulate slon and slat
257	if slon is not None or slat is not None:
258	show_topo_map_user = ((save == 'png') and (typefile == 'meso') and ("HGT" in varinfile) and display)
259	if firstfile and show_topo_map_user: iwantawhereplot = nc #show a topo map with a cross on the chosen point
260	else: iwantawhereplot = None #do not show anything, just select indices
261	numlon = 1 ; numlat = 1
262	if slon is not None: numlon = slon.shape[1]
263	if slat is not None: numlat = slat.shape[1]
264	indices = np.ones([numlon,numlat,2]) ; vlon = None ; vlat = None
265	for iii in range(numlon):
266	for jjj in range(numlat):
267	if slon is not None: vlon = slon[0][iii] ### note: slon[:][0] does not work
268	if slat is not None: vlat = slat[0][jjj] ### note: slon[:][0] does not work
269	indices[iii,jjj,:] = bidimfind(lon2d,lat2d,vlon,vlat,file=iwantawhereplot)
270	lonp,latp = ( lon2d[indices[iii,jjj,0],indices[iii,jjj,1]] , lat2d[indices[iii,jjj,0],indices[iii,jjj,1]] )
271	### possible bug here if several --lat
272	for iii in range(numlon):
273	for jjj in range(numlat):
274	if slon is not None: sslon[0][iii] = indices[iii,0,1] #...this is idx
275	if slat is not None: sslat[0][jjj] = indices[0,jjj,0] #...this is idy
276	lonp,latp = ( lon2d[indices[0,0,0],indices[0,0,1]] , lat2d[indices[0,0,0],indices[0,0,1]] )
277	### we get rid of boundary relaxation zone for plots. important to do that now and not before.
278	if typefile in ['meso'] and mapmode == 1:
279	if '9999' not in getattr(nc,'START_DATE'): lon2d = dumpbdy(lon2d,6) ; lat2d = dumpbdy(lat2d,6)
280	### we read the keyword for vertical dimension. we take care for vertical staggering.
281	if varname in ['PHTOT','W']: vertdim='BOTTOM-TOP_PATCH_END_STAG'
282	else: vertdim='BOTTOM-TOP_PATCH_END_UNSTAG'
283	if (var2 is not None and var2 not in ['PHTOT','W']): dumped_vert_stag=True ; vertdim='BOTTOM-TOP_PATCH_END_UNSTAG'
284	else: dumped_vert_stag=False
285	### we read the keyword for horizontal dimensions. we take care for horizontal staggering.
286	if varname in ['V']: latdim='SOUTH-NORTH_PATCH_END_STAG'
287	else: latdim='SOUTH-NORTH_PATCH_END_UNSTAG'
288	if varname in ['U']: londim='WEST-EAST_PATCH_END_STAG'
289	else: londim='WEST-EAST_PATCH_END_UNSTAG'
290	lon = np.arange(0,getattr(nc,londim),1) ; lat = np.arange(0,getattr(nc,latdim),1)
291	### we define the time axis and take care of various specificities (lt, ls, sol) or issues (concatenation)
292	if axtime in ["ls","sol"]:
293	lstab, soltab, lttab = getlschar ( namefile, getaxis = True )
294	if axtime == "ls": time = lstab
295	elif axtime == "sol": time = soltab
296	else:
297	if ope in ["cat"] and nnn > 0: count = time[-1] + 1 ## so that a cat is possible with simple subscripts
298	else: count = 0
299	if "Times" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Times"]),1)
300	elif "Time" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Time"]),1)
301	else: time = count + np.arange(0,1,1)
302	if axtime in ["lt"]:
303	ftime = np.zeros(len(time))
304	for i in range(len(time)): ftime[i] = localtime ( time[i], slon , namefile )
305	time=ftime ; time=check_localtime(time)
306	print "LOCAL TIMES.... ", time
307	### we define the vertical axis (or lack thereof) and cover possibilities for it to be altitude, pressure, geopotential. quite SPECIFIC.
308	if typefile in ['geo']: vert = [0.] ; stime = readslices(str(0))
309	else:
310	if vertmode is None: vertmode=0
311	if vertmode == 0:
312	if "vert" in nc.variables: vert = nc.variables["vert"][:]/1000. ; vertmode = 1
313	else: vert = np.arange(0,getattr(nc,vertdim),1)
314	elif vertmode == -1: vert = nc.variables["PHTOT"][0,:,0,0]/3.72 ; vert = np.array(vert[0:len(vert)-1]) #; print vert
315	elif vertmode == 1 or vertmode == 2: vert = nc.variables["vert"][:] ## pressure in Pa
316	else: vert = nc.variables["vert"][:]/1000. ## altitude in km
317	####################################################################
318	############ END of WE LOAD 4D DIMENSIONS : x, y, z, t #############
319	####################################################################
320
321	### we fill the arrays of varname, namefile, time, colorbar at the current step considered (NB: why use both k and nnn ?)
322	all_varname[k] = varname
323	all_namefile[k] = namefile
324	all_time[k] = time
325	all_vert[k] = vert
326	all_lat[k] = lat
327	all_lon[k] = lon
328	all_colorb[k] = clb[vvv]
329	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)
330	if winds: all_windu[k] = getfield(nc,uchar) ; all_windv[k] = getfield(nc,vchar)
331	### we fill the arrays of fields to be plotted at the current step considered
332	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)
333
334	# last line of for namefile in namefiles
335	print "**** GOT SUBDATA:",k," NAMEFILE:",namefile," VAR:",varname, var2 ; k += 1 ; firstfile = False
336
337	### note to self : stopped comment rewriting here.
338
339	##################################
340	### Operation on files (I) with _var
341	if ope is not None and "var" in ope:
342	print "********** OPERATION: ",ope
343	if len(namefiles) > 1: errormess("for this operation... please set only one file !")
344	if len(var) > 2: errormess("not sure this works for more than 2 vars... please check.")
345	if "div_var" in ope: all_var[k] = all_var[k-2] / all_var[k-1] ; insert = '_div_'
346	elif "mul_var" in ope: all_var[k] = all_var[k-2] * all_var[k-1] ; insert = '_mul_'
347	elif "add_var" in ope: all_var[k] = all_var[k-2] + all_var[k-1] ; insert = '_add_'
348	elif "sub_var" in ope: all_var[k] = all_var[k-2] - all_var[k-1] ; insert = '_sub_'
349	else: errormess(ope+" : non-implemented operation. Check pp.py --help")
350	plot_x[k] = None ; plot_y[k] = None
351	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]
352	all_varname[k] = all_varname[k-2] + insert + all_varname[k-1]
353	if len(clb) >= zelen: all_colorb[k] = clb[-1] # last additional user-defined color is for operation plot
354	else: all_colorb[k] = all_colorb[k-1] # if no additional user-defined color... set same as var
355	### only the operation plot. do not mention colorb so that it is user-defined?
356	if "only" in ope:
357	numplot = 1 ; all_var[0] = all_var[k]
358	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]
359	all_varname[0] = all_varname[k-2] + insert + all_varname[k-1]
360
361
362	##################################
363	### Operation on files (II) without _var
364	# we re-iterate on the plots to set operation subplots to make it compatible with multifile (using the same ref file)
365	# (k+1)%3==0 is the index of operation plots
366	# (k+2)%3==0 is the index of reference plots
367	# (k+3)%3==0 is the index of first plots
368	opefirstpass=True
369	if ope is not None and "var" not in ope:
370	print "********** OPERATION: ",ope
371	for k in np.arange(zelen):
372	if len(var) > 1: errormess("for this operation... please set only one var !")
373	if ope in ["-","+","-%","-_only","+_only","-%_only","-_histo"]:
374	if fileref is None: errormess("fileref is missing!")
375	else:ncref = Dataset(fileref)
376
377	if opefirstpass: ## first plots
378	for ll in np.arange(len(namefiles)):
379	print "SETTING FIRST PLOT"
380	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]
381	if plot_y[ll] is not None: plot_y[3ll] = plot_y[ll] ; plot_x[3ll] = plot_x[ll]
382	else: plot_y[3ll] = None ; plot_x[3ll] = None
383	opefirstpass=False
384
385	if (k+2)%3==0: ## reference plots
386	print "SETTING REFERENCE PLOT"
387	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]
388	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)
389	if winds: all_windu[k] = getfield(ncref,uchar) ; all_windv[k] = getfield(ncref,vchar)
390
391	if (k+1)%3==0: ## operation plots
392	print "SETTING OPERATION PLOT"
393	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]
394	if ope in ["-","-_only","-_histo"]:
395	all_var[k]= all_var[k-2] - all_var[k-1]
396	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]
397	if plot_y[k-2] is None: plot_y[k] = None; plot_x[k] = None
398	elif ope in ["+","+_only"]:
399	all_var[k]= all_var[k-2] + all_var[k-1]
400	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]
401	if plot_y[k-2] is None: plot_y[k] = None; plot_x[k] = None
402	elif ope in ["-%","-%_only"]:
403	masked = np.ma.masked_where(all_var[k-1] == 0,all_var[k-1])
404	masked.set_fill_value([np.NaN])
405	all_var[k]= 100.*(all_var[k-2] - masked)/masked
406	if plot_y[k-1] is not None and plot_y[k-2] is not None:
407	masked = np.ma.masked_where(plot_y[k-1] == 0,plot_y[k-1])
408	masked.set_fill_value([np.NaN])
409	plot_y[k]= 100.*(plot_y[k-2] - masked)/masked
410	if plot_y[k-2] is None: plot_y[k] = None; plot_x[k] = None
411	if len(clb) >= zelen: all_colorb[k] = clb[-1]
412	else: all_colorb[k] = "RdBu_r" # if no additional user-defined color... set a good default one
413	if winds: all_windu[k] = all_windu[k-2]-all_windu[k-1] ; all_windv[k] = all_windv[k-2] - all_windv[k-1]
414
415	elif ope in ["cat"]:
416	tabtime = all_time[0];tab = all_var[0];k = 1
417	if var2: tab2 = all_var2[0]
418	while k != len(namefiles) and len(all_time[k]) != 0:
419	if var2: tab2 = np.append(tab2,all_var2[k],axis=0)
420	tabtime = np.append(tabtime,all_time[k]) ; tab = np.append(tab,all_var[k],axis=0) ; k += 1
421	all_time[0] = np.array(tabtime) ; all_var[0] = np.array(tab) ; numplot = 1
422	if var2: all_var2[0] = np.array(tab2)
423	else: errormess(ope+" : non-implemented operation. Check pp.py --help")
424	if "only" in ope:
425	numplot = 1 ; all_var[0] = all_var[k]
426	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]
427	all_varname[0] = all_varname[k]
428
429	##################################
430	### Open a figure and set subplots
431	fig = figure()
432	subv,subh = definesubplot( numplot, fig, ipreferline = (mapmode == 1) )
433	if ope in ['-','-%','-_histo'] and len(namefiles) ==1 : subv,subh = 2,2
434	elif ope in ['-','-%'] and len(namefiles)>1 : subv, subh = len(namefiles), 3
435
436	#################################
437	### Time loop for plotting device
438	nplot = 1 ; error = False ; firstpass = True
439	if lstyle is not None: linecycler = cycle(lstyle)
440	else: linecycler = cycle(["-","--","-.",":"])
441	print "********************************************"
442	while error is False:
443
444	print "********** PLOT", nplot, " OF ",numplot
445	if nplot > numplot: break
446
447	####################################################################
448	## get all indexes to be taken into account for this subplot and then reduce field
449	## 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
450	if ope is not None:
451	if fileref is not None: index_f = ((nplot-1)//(nlonnlatnvertntime))%(3len(namefiles)) ## OK only 1 var, see test in the beginning
452	elif "var" in ope: index_f = ((nplot-1)//(nlonnlatnvert*ntime))%(len(var)+1) ## OK only 1 file, see test in the beginning
453	elif "cat" in ope: index_f = 0
454	elif not firstpass:
455	if len(namefiles) > 1 and len(var) == 1 and which == "unidim": pass
456	else: yeah = len(namefiles)len(var) ; index_f = ((nplot-1)//(nlonnlatnvertntime))%yeah
457	else: yeah = len(namefiles)len(var) ; index_f = ((nplot-1)//(nlonnlatnvertntime))%yeah
458	time = all_time[index_f] ; vert = all_vert[index_f] ; lat = all_lat[index_f] ; lon = all_lon[index_f]
459	indexlon = getsindex(sslon,(nplot-1)%nlon,lon)
460	indexlat = getsindex(sslat,((nplot-1)//nlon)%nlat,lat)
461	indexvert = getsindex(svert,((nplot-1)//(nlon*nlat))%nvert,vert)
462	plotx=plot_x[index_f] ; ploty=plot_y[index_f]
463	if mrate is not None: indextime = None
464	else: indextime = getsindex(stime,((nplot-1)//(nlonnlatnvert))%ntime,time)
465	ltst = None
466	if typefile in ['meso'] and indextime is not None and len(indextime) < 2: ltst = localtime ( indextime, slon , all_namefile[index_f])
467
468
469	#if mapmode == 0:
470	# if xlab is None:
471	# if indexlon is None: xlab = "Longitude"
472	# elif indexlat is None: xlab = "Latitude"
473	# if ylab is None:
474	# if indexvert is None: ylab = "Altitude"
475
476
477	print "********** INDEX LON:",indexlon," LAT:",indexlat," VERT:",indexvert," TIME:",indextime
478	##var = nc.variables["phisinit"][:,:]
479	##contourf(np.transpose(var),30,cmap = get_cmap(name="Greys_r") ) ; axis('off') ; plot(indexlat,indexlon,'mx',mew=4.0,ms=20.0)
480	##show()
481	##exit()
482	#truc = True
483	#truc = False
484	#if truc: indexvert = None
485	####################################################################
486	########## REDUCE FIELDS
487	####################################################################
488	error = False
489	varname = all_varname[index_f]
490	which=''
491	if varname: ### what is shaded.
492	what_I_plot, error = reducefield( all_var[index_f], d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \
493	yint=yintegral, alt=vert, anomaly=anomaly, redope=redope, mesharea=area, unidim=is1d)
494	if mult != 2718.: what_I_plot = what_I_plot*mult
495	else: what_I_plot = np.log10(what_I_plot) ; print "log plot"
496
497	if var2: ### what is contoured.
498	what_I_plot_contour, error = reducefield( all_var2[index_f], d4=indextime, d1=indexlon, d2=indexlat , d3=indexvert, \
499	yint=yintegral, alt=vert )
500	if winds: ### what is plot as vectors.
501	vecx, error = reducefield( all_windu[index_f], d4=indextime, d3=indexvert, yint=yintegral, alt=vert)
502	vecy, error = reducefield( all_windv[index_f], d4=indextime, d3=indexvert, yint=yintegral, alt=vert)
503	if varname in [uchar,vchar]: what_I_plot = np.sqrt( np.square(vecx) + np.square(vecy) ) ; varname = "wind"
504
505	if plotx is not None:
506	plotx, error = reducefield( plotx, d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \
507	yint=yintegral, alt=vert, anomaly=anomaly, redope=redope, mesharea=area, unidim=is1d)
508	ploty, error = reducefield( ploty, d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \
509	yint=yintegral, alt=vert, anomaly=anomaly, redope=redope, mesharea=area, unidim=is1d)
510	which='xy'
511	#####################################################################
512	#if truc:
513	# nx = what_I_plot.shape[2] ; ny = what_I_plot.shape[1] ; nz = what_I_plot.shape[0]
514	# for k in range(nz): print k,' over ',nz ; what_I_plot[k,:,:] = what_I_plot[k,:,:] / smooth(what_I_plot[k,:,:],12)
515	# for iii in range(nx):
516	# for jjj in range(ny):
517	# deviation = what_I_plot[:,jjj,iii] ; mx = max(deviation) ; mn = min(deviation)
518	# 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
519	# else: what_I_plot[0,jjj,iii] = 0.
520	# if np.abs(what_I_plot[0,jjj,iii]) > 1.5:
521	# print iii,jjj,what_I_plot[0,jjj,iii],int(abs(1.-mx)100.),int(abs(1.-mn)100.)
522	# plot(rel)
523	# show()
524	# anomaly = True ### pour avoir les bons reglages plots
525	# what_I_plot = what_I_plot[0,:,:]
526	#####################################################################
527
528	####################################################################
529	### General plot settings
530	changesubplot = (numplot > 1) and (len(what_I_plot.shape) != 1) and (which != "xy") ## default for 1D plots: superimposed. to be reworked for better flexibility.
531	if changesubplot: subplot(subv,subh,nplot) #; subplots_adjust(wspace=0,hspace=0)
532	colorb = all_colorb[index_f]
533	####################################################################
534	if error:
535	errormess("There is an error in reducing field !")
536	else:
537	ticks = ndiv + 1
538	fvar = varname
539	if anomaly: fvar = 'anomaly'
540	###
541	if mapmode == 0: ### could this be moved inside imov loop ?
542	itime=indextime
543	if len(what_I_plot.shape) == 3: itime=[0]
544	m = None ; x = None ; y = None
545	latyeah = lat ; lonyeah = lon
546	if typefile in ['meso']:
547	# now that the section is determined we can set the real lat
548	# ... or for now, a temptative one.
549	if slon is not None: latyeah = lat2d[:,0]
550	if slat is not None: lonyeah = lon2d[0,:]
551	what_I_plot, x, y = define_axis(lonyeah,latyeah,vert,time,indexlon,indexlat,indexvert,\
552	itime,what_I_plot, len(all_var[index_f].shape),vertmode,redope)
553	###
554	if (fileref is not None) and ((index_f+1)%3 == 0): zevmin, zevmax = calculate_bounds(what_I_plot,vmin=minop,vmax=maxop)
555	else: zevmin, zevmax = calculate_bounds(what_I_plot,vmin=vmin,vmax=vmax)
556	#if (fileref is not None) and (index_f == numplot-1): colorb = "RdBu_r"
557	if colorb in ["def","nobar","onebar"]: palette = get_cmap(name=defcolorb(fvar.upper()))
558	else: palette = get_cmap(name=colorb)
559	#palette = cm.GMT_split
560	#palette = cm.GMT_globe
561	##### 1. ELIMINATE 0D or >3D CASES
562	if len(what_I_plot.shape) == 0:
563	print "VALUE VALUE VALUE VALUE ::: ",what_I_plot
564	save = 'donothing'
565	elif len(what_I_plot.shape) >= 4:
566	print "WARNING!!! ",len(what_I_plot.shape),"-D PLOT NOT SUPPORTED !!! dimensions: ",what_I_plot.shape
567	errormess("Are you sure you did not forget to prescribe a dimension ?")
568	##### 2. HANDLE simple 1D/2D field and movies of 1D/2D fields
569	else:
570	if mrate is not None: iend=len(time)-1
571	else: iend=0
572	imov = 0
573	if analysis in ['density','histo','fft','histodensity']: which="xy"
574	elif len(what_I_plot.shape) == 3:
575	if var2 and which == '': which = "contour" ## have to start with contours rather than shading
576	elif which == '': which = "regular"
577	if mrate is None: errormess("3D field. Use --rate RATE for movie or specify --time TIME. Exit.")
578	elif len(what_I_plot.shape) == 2:
579	if var2 and which == '': which = "contour" ## have to start with contours rather than shading
580	elif which == '': which = "regular"
581	if mrate is not None and which == '': which = "unidim"
582	elif len(what_I_plot.shape) == 1 and which == '' :
583	which = "unidim"
584	if what_I_plot.shape[-1] == 1: print "VALUE VALUE VALUE VALUE ::: ", what_I_plot[0] ; save = 'donothing'
585	## if which == "unidim" and len(namefiles) > 1: numplot = 1 # this case is similar to several vars from one file
586	##### IMOV LOOP #### IMOV LOOP
587	while imov <= iend:
588	print "-> frame ",imov+1, which
589	if which == "regular":
590	if mrate is None: what_I_plot_frame = what_I_plot
591	else: what_I_plot_frame = what_I_plot[imov,:,:]
592	if winds:
593	if mrate is None: vecx_frame = vecx ; vecy_frame = vecy
594	else: vecx_frame = vecx[imov,:,:] ; vecy_frame = vecy[imov,:,:]
595	elif which == "contour":
596	if mrate is None or what_I_plot_contour.ndim < 3: what_I_plot_frame = what_I_plot_contour
597	else: what_I_plot_frame = what_I_plot_contour[imov,:,:]
598	elif which == "unidim":
599	if mrate is None: what_I_plot_frame = what_I_plot
600	else: what_I_plot_frame = what_I_plot[:,imov] ## because swapaxes
601	#if mrate is not None:
602	if mapmode == 1:
603	m = define_proj(proj,wlon,wlat,back=back,blat=blat,blon=blon) ## this is dirty, defined above but out of imov loop
604	x, y = m(lon2d, lat2d) ## this is dirty, defined above but out of imov loop
605	if typefile in ['meso'] and mapmode == 1:
606	if '9999' not in getattr(nc,'START_DATE'): what_I_plot_frame = dumpbdy(what_I_plot_frame,6,condition=True)
607	# if typefile in ['mesoideal']: what_I_plot_frame = dumpbdy(what_I_plot_frame,0,stag='W',condition=dumped_vert_stag)
608
609	if which == "unidim":
610	# if lbls is not None: lbl=lbls[nplot-1]
611	if lbls is not None: lbl=lbls[index_f]
612	else:
613	lbl = ""
614	if indexlat is not None: lbl = lbl + " ix" + str(indexlat[0])
615	if indexlon is not None: lbl = lbl + " iy" + str(indexlon[0])
616	if indexvert is not None: lbl = lbl + " iz" + str(indexvert[0])
617	if indextime is not None: lbl = lbl + " it" + str(indextime[0])
618	if lbl == "": lbl = all_namefile[index_f]
619
620	if mrate is not None: x = y ## because swapaxes...
621	#what_I_plot_frame = np.diff(what_I_plot_frame, n=1) ; x = x[1:]
622
623	zeline = next(linecycler) ## "-" for simple lines
624	if tile: zemarker = 'x'
625	else: zemarker = None
626	this_is_a_regular_plot = (indexvert is not None) or (indextime is None) or (indexlat is None) or (indexlon is None)
627	if this_is_a_regular_plot: plot(x,what_I_plot_frame,zeline,label=lbl,marker=zemarker) ## vertical profile
628	else: plot(what_I_plot_frame,x,zeline,label=lbl,marker=zemarker) ## regular plot
629	if nplot > 1: legend(loc='best')
630	if indextime is None and axtime is not None and xlab is None: xlabel(axtime.upper()) ## define the right label
631	if save == 'txt': writeascii(np.transpose([x,np.transpose(what_I_plot)]),'profile'+str(nplot*1000+imov)+'.txt')
632	if axtime == "lt":
633	ax = mpl.pyplot.gca()
634	# set ticks where your images will be
635	ax.get_xaxis().set_ticks(np.arange(0,48,2))
636	# rename tick labels
637	ax.get_xaxis().set_ticklabels(["0","2","4","6","8","10","12","14","16","18","20","22",\
638	"0","2","4","6","8","10","12","14","16","18","20","22"])
639	## rebound everyone
640	ax.set_xbound(lower=min(x), upper=max(x))
641	elif which == "xy":
642	if lbls is not None: lbl=lbls[index_f]
643	else: lbl=None
644	if analysis is not None:
645	if analysis == 'histo':
646	if zelen == 1:
647	mpl.pyplot.hist(ploty.flatten(),bins=ndiv,normed=True, alpha=0.67, facecolor = 'green', label = lbls)
648	mpl.pyplot.legend()
649	mpl.pyplot.grid(True)
650	mpl.pyplot.title(zetitle)
651	else:
652	multiplot[index_f]=ploty.flatten()
653	if index_f == zelen-1:
654	if ope is not None: multiplot = getVar(multiplot,3*np.arange((index_f+1)/3)+2) ## we only compute histograms for the operation plots
655	mpl.pyplot.hist(multiplot,bins=ndiv,normed=True, alpha=0.75, label = lbls)
656	mpl.pyplot.legend()
657	mpl.pyplot.grid(True)
658	mpl.pyplot.title(zetitle)
659	elif analysis in ['density','histodensity']:
660	if ope is not None and (index_f+1)%3 !=0: pass
661	else:
662	plotx = np.linspace(min(ploty.flatten()),max(ploty.flatten()),1000)
663	density = gaussian_kde(ploty.flatten())
664	# density.covariance_factor = lambda : .25 # adjust the covariance factor to change the bandwidth if needed
665	# density._compute_covariance()
666	# display the mean and variance of the kde:
667	sample = density.resample(size=20000)
668	n, (smin, smax), sm, sv, ss, sk = describe(sample[0])
669	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])
670	if analysis == 'histodensity': # plot both histo and density (to assess the rightness of the kernel density estimate for exemple) and display the estimated variance
671	mpl.pyplot.hist(ploty.flatten(),bins=ndiv,normed=True, alpha=0.30, label = lbl)
672	if index_f == zelen-1: mpl.pyplot.legend() ; mpl.pyplot.title(zetitle)
673	else:
674	plot(plotx,ploty,label = lbl)
675	if index_f == zelen-1: mpl.pyplot.legend() ; mpl.pyplot.title(zetitle)
676	mpl.pyplot.grid(True)
677	else:
678	plot(plotx,ploty,label = lbl)
679	if index_f == zelen-1: mpl.pyplot.legend() ; mpl.pyplot.title(zetitle)
680	if varname == 'hodograph':
681	a=0
682	for ii in np.arange(len(time)):
683	if a%6 == 0: mpl.pyplot.text(plotx[ii],ploty[ii],time[ii])
684	a=a+1
685	mpl.pyplot.grid(True)
686
687	elif which == "regular":
688
689	# plot stream lines if there is a stream file and a vert/lat slice. Might not work with movies ??
690	if streamflag and sslat is None and svert is None:
691	streamfile = all_namefile[index_f].replace('.nc','_stream.nc')
692	teststream = os.path.exists(streamfile)
693	if teststream:
694	print 'INFO: Using stream file',streamfile, 'for stream lines'
695	ncstream = Dataset(streamfile)
696	psi = getfield(ncstream,'psi')
697	psi = psi[0,:,:,0] # time and longitude are dummy dimensions
698	if psi.shape[1] != len(x) or psi.shape[0] != len(y):
699	errormess('stream file does not fit! Dimensions: '+str(psi.shape)+' '+str(x.shape)+' '+str(y.shape))
700	zelevels = np.arange(-1.e10,1.e10,1.e9)
701	zemin = np.min(abs(zelevels))
702	zemax = np.max(abs(zelevels))
703	zewidth = (abs(zelevels)-zemin)*(5.- 0.5)/(zemax - zemin) + 0.5 # linewidth ranges from 5 to 0.5
704	cs = contour( x,y,psi, zelevels, colors='k', linewidths = zewidth)
705	clabel(cs, inline=True, fontsize = 4.*rcParams['font.size']/5., fmt="%1.1e")
706	else:
707	print 'WARNING: STREAM FILE',streamfile, 'DOES NOT EXIST !'
708
709	if hole: what_I_plot_frame = hole_bounds(what_I_plot_frame,zevmin,zevmax)
710	else: what_I_plot_frame = bounds(what_I_plot_frame,zevmin,zevmax)
711	if flagnolow: what_I_plot_frame = nolow(what_I_plot_frame)
712	if not tile:
713	#zelevels = np.linspace(zevmin(1. + 1.e-7),zevmax(1. - 1.e-7)) #,num=20)
714	zelevels = np.linspace(zevmin,zevmax,num=ticks)
715	#what_I_plot_frame = smooth(what_I_plot_frame,100)
716	if mapmode == 1: m.contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans)
717	elif mapmode == 0: contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans)
718	else:
719	if mapmode == 1: m.pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans)
720	elif mapmode == 0: pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans)
721
722	if (cross is not None or markdevil) and mapmode == 1:
723	if cross is not None: idx,idy=m(cross[0][0],cross[0][1])
724	elif markdevil:
725	idx,idy=find_devil(nc,indextime)
726	idx,idy=x[idx,idy],y[idx,idy]
727	mpl.pyplot.plot([idx],[idy],'+k',mew=0.5,ms=18)
728
729	if not nocolorb:
730	if colorb not in ['nobar','onebar']:
731	if (fileref is not None) and ((index_f+1)%3 == 0): daformat = "%.3f"
732	elif mult != 1: daformat = "%.1f"
733	else: daformat = fmtvar(fvar.upper())
734	#if proj in ['moll','cyl']: zeorientation="horizontal" ; zepad = 0.05
735	if proj in ['moll']: zeorientation="horizontal" ; zepad = 0.05
736	else: zeorientation="vertical" ; zepad = 0.03
737	zecb = colorbar( fraction=0.05,pad=zepad,format=daformat,orientation=zeorientation,\
738	ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional' )
739	if zeorientation == "horizontal" and zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]=""
740	if winds:
741	if typefile in ['meso']:
742	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)]
743	key = True
744	if fvar in ['UV','uv','uvmet']: key = False
745	elif typefile in ['gcm']:
746	key = False
747	if metwind and mapmode == 1: [vecx_frame,vecy_frame] = m.rotate_vector(vecx_frame, vecy_frame, lon2d, lat2d)
748	if trans != 0.0: colorvec = definecolorvec(colorb)
749	else: colorvec = definecolorvec(back)
750	vectorfield(vecx_frame, vecy_frame, x, y, stride=stride, csmooth=2,\
751	#scale=15., factor=300., color=colorvec, key=key)
752	scale=20., factor=250./facwind, color=colorvec, key=key)
753	#200. ## or csmooth=stride
754	### THIS IS A QUITE SPECIFIC PIECE (does not work for mesoscale files)
755	if ope == '-_histo' and nplot == numplot: # this should work as long as ope is '-' guarantees 3 plots for 4 panels without contour
756	subplot(subv,subh,nplot+1)
757	rcParams["legend.fontsize"] = 'xx-large'
758	if indexlat is None:
759	latmin = -50.; latmax = 50. # latitude range for histogram of difference
760	zeindexlat = (lat<latmax)*(lat>latmin)
761	if typefile in ['meso']: zeindexlat = 10
762	# this follows the define_axis logic in myplot.py:
763	if indextime is None or indexlon is None: what_I_plot_frame = what_I_plot_frame[zeindexlat,:]
764	else: what_I_plot_frame = what_I_plot_frame[:,zeindexlat]
765	toplot = np.ravel(what_I_plot_frame[np.isnan(what_I_plot_frame)==False])
766	zebins = np.linspace(zevmin,zevmax,num=30)
767	hist(toplot,bins=zebins,histtype='step',linewidth=2,color='k',normed=True)
768	zestd = np.std(toplot);zemean = np.mean(toplot)
769	zebins = np.linspace(zevmin,zevmax,num=300)
770	zegauss = (1./(zestd * np.sqrt(2 * np.pi)) * np.exp( - (zebins - zemean)*2 / (2 zestd**2) ) )
771	plot(zebins, zegauss, linewidth=1, color='r',label="mean: "+str(zemean)[0:5]+"\nstd: "+str(zestd)[0:5])
772	legend(loc=0,frameon=False)
773	subplot(subv,subh,nplot) # go back to last plot for title of contour difference
774	if ope is not None and "only" not in ope: title("fig(1) "+ope+" fig(2)")
775	elif ope is not None and "only" in ope: title("fig(1) "+ope[0]+" fig(2)")
776
777	elif which == "contour":
778	zevminc, zevmaxc = calculate_bounds(what_I_plot_frame, vmin=min(what_I_plot_frame), vmax=max(what_I_plot_frame))
779	zelevels = np.linspace(zevminc,zevmaxc,ticks/2) #20)
780	### another dirty specific stuff in the wall
781	if var2 == 'HGT': zelevels = np.arange(-10000.,30000.,500.) #1000.)
782	elif var2 == 'tpot': zelevels = np.arange(270,370,5)
783	elif var2 == 'tk': zelevels = np.arange(150,250,5)
784	elif var2 == 'wstar': zelevels = np.arange(0,10,1.0)
785	elif var2 == 'zmax_th': zelevels = np.arange(0,10,2.0) ; what_I_plot_frame = what_I_plot_frame / 1000.
786	###
787	if mapmode == 0:
788	what_I_plot_frame, x, y = define_axis( lonyeah,latyeah,vert,time,indexlon,indexlat,indexvert,\
789	itime,what_I_plot_frame, len(all_var2[index_f].shape),vertmode,redope)
790	## is this needed? only if len(all_var2[index_f].shape) != len(all_var[index_f].shape)
791	cs = contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33)#, alpha=0.5, linestyles='solid')
792	#cs = contour( x,y,what_I_plot_frame, zelevels, colors='w', linewidths = 0.5)#, alpha=0.5, linestyles='solid')
793	clabel(cs, inline=1, fontsize = 4.*rcParams['font.size']/5., fmt=fmtvar(var2.upper()))
794	elif mapmode == 1:
795	cs = m.contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33)#, alpha=0.5, linestyles='solid')
796	#clabel(cs, inline=0, fontsize = rcParams['font.size'], fmt="%.0f") #fmtvar(var2.upper()))
797	if which in ["regular","unidim","xy"]:
798
799	if nplot > 1 and which in ["unidim","xy"]:
800	pass ## because we superimpose nplot instances
801	else:
802	# Axis directives for movie frames [including the first one).
803	zxmin, zxmax = xaxis ; zymin, zymax = yaxis
804	if zxmin is not None: mpl.pyplot.xlim(xmin=zxmin)
805	if zxmax is not None: mpl.pyplot.xlim(xmax=zxmax)
806	if zymin is not None: mpl.pyplot.ylim(ymin=zymin)
807	if zymax is not None: mpl.pyplot.ylim(ymax=zymax)
808	if ylog and not xlog: mpl.pyplot.semilogy()
809	if xlog and not ylog: mpl.pyplot.semilogx()
810	if xlog and ylog:
811	mpl.pyplot.xscale('log')
812	mpl.pyplot.yscale('log')
813	if invert_y: ax = mpl.pyplot.gca() ; ax.set_ylim(ax.get_ylim()[::-1])
814	if xlab is not None: xlabel(xlab)
815	if ylab is not None: ylabel(ylab)
816
817	if mrate is not None:
818	### THIS IS A MENCODER MOVIE
819	if mrate > 0:
820	figframe=mpl.pyplot.gcf()
821	if mquality: figframe.set_dpi(600.)
822	else: figframe.set_dpi(200.)
823	mframe=fig2img(figframe)
824	if imov == 0:
825	moviename='movie' ;W,H = figframe.canvas.get_width_height()
826	video = VideoSink((H,W), moviename, rate=mrate, byteorder="rgba")
827	video.run(mframe) ; close()
828	if imov == iend: video.close()
829	### THIS IS A WEBPAGE MOVIE
830	else:
831	nameframe = "image"+str(1000+imov)
832	makeplotres(nameframe,res=100.,disp=False) ; close()
833	if imov == 0: myfile = open("zepics", 'w')
834	myfile.write("modImages["+str(imov)+"] = '"+nameframe+"_100.png';"+ '\n')
835	if imov == iend:
836	myfile.write("first_image = 0;"+ '\n')
837	myfile.write("last_image = "+str(iend)+";"+ '\n')
838	myfile.close()
839	if var2 and which == "regular": which = "contour"
840	imov = imov+1
841	elif which == "contour":
842	which = "regular"
843
844	### Next subplot
845	zevarname = varname
846	if redope is not None: zevarname = zevarname + "_" + redope
847	basename = getname(var=zevarname,var2=var2,winds=winds,anomaly=anomaly)
848	if len(what_I_plot.shape) > 3:
849	basename = basename + getstralt(nc,level)
850	if mrate is not None: basename = "movie_" + basename
851	if typefile in ['meso']:
852	if sslon is not None: basename = basename + "_lon_" + str(int(round(lonp)))
853	if sslat is not None: basename = basename + "_lat_" + str(int(round(latp)))
854	plottitle = basename
855	### dans le nouveau systeme time=ls,sol,lt cette ligne pourrait ne servir a rien (ou deplacer au dessus)
856	if addchar and indextime is not None: [addchar,gogol,gogol2] = getlschar ( all_namefile[index_f] ) ; plottitle = plottitle + addchar
857	### en fait redope is None doit etre remplace par : n'est ni maxt ni mint
858	if redope is None and ltst is not None and ( (mapmode == 0) or (proj in ["lcc","laea","merc","nsper"]) ): plottitle = plottitle + "_LT" + str(ltst)
859	else:
860	if fileref is not None:
861	if (index_f+1)%3 == 0: plottitle = basename+' '+"fig(1) "+ope+" fig(2)"
862	elif (index_f+2)%3 == 0: plottitle = basename+' '+fileref
863	else: plottitle = basename+' '+all_namefile[index_f]
864	else: plottitle = basename+' '+all_namefile[index_f]
865	if mult != 1: plottitle = '{:.0e}'.format(mult) + "*" + plottitle
866	if zetitle[0] != "fill":
867	if index_f < len(zetitle): plottitle = zetitle[index_f]
868	else: plottitle = zetitle[0]
869	if titleref is "fill": titleref=zetitle[index_f]
870	if fileref is not None and which != "xy":
871	if (index_f+2)%3 == 0: plottitle = titleref
872	if (index_f+1)%3 == 0: plottitle = "fig(1) "+ope+" fig(2)"
873	# if indexlon is not None: plottitle = plottitle + " lon: " + str(min(lon[indexlon])) +" "+ str(max(lon[indexlon]))
874	# if indexlat is not None: plottitle = plottitle + " lat: " + str(min(lat[indexlat])) +" "+ str(max(lat[indexlat]))
875	# if indexvert is not None: plottitle = plottitle + " vert: " + str(min(vert[indexvert])) +" "+ str(max(vert[indexvert]))
876	# if indextime is not None: plottitle = plottitle + " time: " + str(min(time[indextime])) +" "+ str(max(time[indextime]))
877	if colorb != "onebar": title( plottitle )
878	if nplot >= numplot: error = True
879	nplot += 1
880
881	if len(namefiles) > 1 and len(var) == 1 and which == "unidim": index_f=index_f+1
882	firstpass=False
883
884	if colorb == "onebar":
885	cax = axes([0.1, 0.2, 0.8, 0.03]) # a ameliorer
886	zecb = colorbar(cax=cax, orientation="horizontal", format=fmtvar(fvar.upper()),\
887	ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional')
888	if zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]=""
889
890
891	##########################################################################
892	### Save the figure in a file in the data folder or an user-defined folder
893	if outputname is None:
894	if typefile in ['meso']: prefix = getprefix(nc)
895	elif typefile in ['gcm']: prefix = 'LMD_GCM_'
896	else: prefix = ''
897	###
898	zeplot = prefix + basename
899	if zoom: zeplot = zeplot + "zoom"+str(abs(zoom))
900	if addchar: zeplot = zeplot + addchar
901	if numplot <= 0: zeplot = zeplot + "_LT"+str(abs(numplot))
902	###
903	if not target: zeplot = namefile[0:find(namefile,'wrfout')] + zeplot
904	else: zeplot = target + "/" + zeplot
905	###
906	else:
907	zeplot=outputname
908
909	if mrate is None:
910	pad_inches_value = 0.35
911	if wlon[1]-wlon[0] < 2.: pad_inches_value = 0.5 # LOCAL MODE (small values)
912	print "********** SAVE ", save
913	if save == 'png':
914	if display: makeplotres(zeplot,res=100.,pad_inches_value=pad_inches_value) #,erase=True) ## a miniature
915	makeplotres(zeplot,res=resolution,pad_inches_value=pad_inches_value,disp=False)
916	elif save in ['eps','svg','pdf']: makeplotres(zeplot,pad_inches_value=pad_inches_value,disp=False,ext=save)
917	elif save == 'gui': show()
918	elif save == 'donothing': pass
919	elif save == 'txt': print "Saved results in txt file."
920	else:
921	print "INFO: save mode not supported. using gui instead."
922	show()
923
924	###################################
925	#### Getting more out of this video -- PROBLEMS WITH CREATED VIDEOS
926	#
927	#if mrate is not None:
928	# print "Re-encoding movie.. first pass"
929	# video.first_pass(filename=moviename,quality=mquality,rate=mrate)
930	# print "Re-encoding movie.. second pass"
931	# video.second_pass(filename=moviename,quality=mquality,rate=mrate)
932
933	###############
934	### Now the end
935	return zeplot

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