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source: trunk/UTIL/PYTHON/planetoplot.py @ 864

Last change on this file since 864 was 864, checked in by aslmd, 12 years ago
UTIL PYTHON. Fixed the movie problem when playing in Windows. Added a noproj case for -p for simple 2D plots. Various other small improvements about the aspect of plots (grid, vector width, ...)
Property svn:executable set to ``*
File size: 61.8 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	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	from scipy import ndimage
109
110	#########################
111	### PRELIMINARY STUFF ###
112	#########################
113	### we say hello
114	print "********************************************"
115	print "******** WELCOME TO PLANETOPLOT ********"
116	print "********************************************"
117	### we ensure namefiles and var are arrays
118	if not isinstance(namefiles, np.ndarray): namefiles = [namefiles]
119	if not isinstance(var, np.ndarray): var = [var]
120	### we initialize a few variables
121	initime=-1 ; sslon = None ; sslat = None
122	k = 0 ; firstfile = True ; count = 0
123	### we perform sanity checks and correct for insufficient information
124	if slon is not None: sslon = np.zeros([1,2])
125	if slat is not None: sslat = np.zeros([1,2])
126	if clb is None: clb = ["def"]*len(var)
127	elif len(clb) < len(var): clb = [clb[0]]*len(var) ; print "WARNING: less color than vars! setting all to 1st value."
128	### we set option trycol i.e. the user wants to try a set of colorbars
129	if trycol: clb = ["Greys","Blues","YlOrRd","jet","spectral","hot","RdBu","RdYlBu","Paired"] ; zetitle = clb ; var = [var[0]]*9
130	### we avoid specific cases not yet implemented
131	if mrate is not None and len(var) > 1: errormess("multivar not allowed in movies. should be fixed soon!")
132	### we prepare number of plot fields [zelen] and number of plot instances [numplot] according to user choices
133	### --> we support multifile and multivar plots : files + vars separated by commas are on the same figure
134	nlon, nlat, nvert, ntime, mapmode, nslices = determineplot(slon, slat, svert, stime, redope)
135	zelen = len(namefiles)*len(var)
136	### we have a special mode obtained by -p noproj in which lat/lon plots are just flat 2D plots
137	if proj == "noproj": mapmode = 0
138	### we correct number of plot fields for possible operation (substract, etc...)
139	if ope is not None:
140	if fileref is not None: zelen = 3len(var)len(namefiles)
141	elif "var" in ope: zelen = zelen + 1
142	numplot = zelen*nslices
143	print "********** FILES, SLICES, VARS, TOTAL PLOTS: ", len(namefiles), nslices, len(var), numplot
144	print "********** MAPMODE: ", mapmode
145	### we define the arrays for plot fields -- which will be placed within multiplot loops
146	all_var = [[]]zelen ; all_var2 = [[]]zelen
147	all_title = [[]]zelen ; all_varname = [[]]zelen ; all_namefile = [[]]zelen ; all_colorb = [[]]zelen
148	all_time = [[]]zelen ; all_vert = [[]]zelen ; all_lat = [[]]zelen ; all_lon = [[]]zelen
149	all_windu = [[]]zelen ; all_windv = [[]]zelen
150	plot_x = [[]]zelen ; plot_y = [[]]zelen ; multiplot = [[]]*zelen
151	### tool (should be move to mymath)
152	getVar = lambda searchList, ind: [searchList[i] for i in ind]
153	#############################
154	### LOOP OVER PLOT FIELDS ###
155	#############################
156
157	for nnn in range(len(namefiles)):
158	for vvv in range(len(var)):
159
160	### we load each NETCDF objects in namefiles
161	namefile = namefiles[nnn]
162	nc = Dataset(namefile)
163	### we explore the variables in the file
164	varinfile = nc.variables.keys()
165	if seevar: print varinfile ; exit()
166	### we define the type of file we have (gcm, meso, etc...)
167	typefile = whatkindfile(nc)
168	if firstfile: typefile0 = typefile
169	elif typefile != typefile0: errormess("Not the same kind of files !", [typefile0, typefile])
170	### we care for input file being 1D simulations
171	is1d=999
172	if "longitude" in nc.dimensions and "latitude" in nc.dimensions: is1d = len(nc.variables["longitude"][:])*len(nc.variables["latitude"][:])
173	elif "lon" in nc.dimensions and "lat" in nc.dimensions: is1d = len(nc.variables["lon"][:])*len(nc.variables["lat"][:])
174	if typefile in ['gcm','earthgcm'] and is1d == 1: mapmode=0 ; winds=False
175	### we create default vert and time prescriptions if not here in case mapping mode is on (lat/lon maps)
176	if redope is None and mapmode == 1:
177	if svert is None: svert = readslices(str(level)) ; nvert=1
178	if stime is None and mrate is None:
179	stime = readslices(str(0)) ; ntime=1 ## this is a default choice
180	print "WELL... nothing about time axis. I took default: first time reference stored in file."
181	### we get the names of variables to be read. in case only one available, we choose this one.
182	### (we take out of the test specific names e.g. UV is not in the file but used to ask a wind speed computation)
183	varname = select_getfield(zvarname=var[vvv],znc=nc,ztypefile=typefile,mode='check')
184	### we get the names of wind variables to be read (if any)
185	if winds:
186	[uchar,vchar,metwind] = getwinddef(nc)
187	if uchar == 'not found': winds = False
188	### we tell the user that either no var or no wind is not acceptable
189	if not varname and not winds: errormess("please set at least winds or var",printvar=nc.variables)
190	### we get the coordinates lat/lon to be used
191	[lon2d,lat2d] = getcoorddef(nc)
192	### we get an adapted map projection if none is provided by the user
193	if proj == None: proj = getproj(nc)
194	### we define plot boundaries given projection or user choices
195	if firstfile:
196	if proj in ["npstere","spstere"]: [wlon,wlat] = polarinterv(lon2d,lat2d)
197	elif proj in ["lcc","laea"]: [wlon,wlat] = wrfinterv(lon2d,lat2d)
198	else: [wlon,wlat] = simplinterv(lon2d,lat2d)
199	if zoom: [wlon,wlat] = zoomset(wlon,wlat,zoom)
200	elif zarea is not None: [wlon,wlat] = latinterv(area=zarea)
201
202	#############################################################
203	############ WE LOAD 4D DIMENSIONS : x, y, z, t #############
204	#############################################################
205
206	###should be available for GCM or simple files ?
207	##if ope in ["cat"] and nnn > 0: count = time[-1] + 1 ## so that a cat is possible with simple subscripts
208
209	### TYPE 1 : GCM files or simple files
210	if typefile in ["gcm","earthgcm","ecmwf"]:
211	### this is needed for continuity
212	if slon is not None: sslon = slon
213	if slat is not None: sslat = slat
214	### we define lat/lon vectors. we get what was done in getcoorddef.
215	lat = lat2d[:,0] ; lon = lon2d[0,:]
216	### we define areas. this is needed for calculate means and weight with area. this is not compulsory (see reduce_field).
217	if "aire" in nc.variables: area = nc.variables["aire"][:,:]
218	### --> add a line here if your reference is not present
219	else: area = None
220	### we define altitude vector. either it is referenced or it is guessed based on last variable's dimensions.
221	if "altitude" in nc.variables: vert = nc.variables["altitude"][:]
222	elif "Alt" in nc.variables: vert = nc.variables["Alt"][:]
223	elif "lev" in nc.variables: vert = nc.variables["lev"][:]
224	elif "presnivs" in nc.variables: vert = nc.variables["presnivs"][:]
225	### --> add a line here if your reference is not present
226	else:
227	print "No altitude found. Try to build a simple axis." ; dadim = getdimfromvar(nc)
228	if len(dadim) == 4: print "-- 4D field. Assume z is dim 2." ; vert = np.arange(dadim[-3])
229	elif len(dadim) == 3: print "-- 3D field. Assume z is dim 1." ; vert = [0.]
230	else: vert = [0.]
231	### we define time vector. either it is referenced or it is guessed based on last variable's dimensions.
232	if "Time" in nc.variables: time = nc.variables["Time"][:]
233	elif "time_counter" in nc.variables: time = nc.variables["time_counter"][:]/86400. #### convert from s to days
234	elif "time" in nc.variables: time = nc.variables["time"][:]
235	### --> add a line here if your reference is not present
236	else:
237	print "No time found. Try to build a simple axis. Assume t is dim 1."
238	dadim = getdimfromvar(nc)
239	if len(dadim) == 4: time = np.arange(dadim[-4])
240	elif len(dadim) == 3: time = np.arange(dadim[-3])
241	else: time = [0.] #errormess("no time axis found.")
242	### (SPECIFIC. convert to Ls for Martian GCM files.)
243	if axtime in ["ls"]:
244	print "converting to Ls ..."
245	for iii in range(len(time)):
246	time[iii] = sol2ls(time[iii])
247	if iii > 0:
248	while abs(time[iii]-time[iii-1]) > 300: time[iii] = time[iii]+360
249	### (a case where the user would like to set local times. e.g. : 1D plot with no longitude reference)
250	if axtime in ["lt"]:
251	if initime == -1: initime=input("Please type initial local time:")
252	time = (initime+time*24)%24 ; print "LOCAL TIMES.... ", time
253	### (simply ask for subscript)
254	if axtime in ["ind"]:
255	dadim = getdimfromvar(nc)
256	if len(dadim) == 4: time = np.arange(dadim[-4])
257	elif len(dadim) == 3: time = np.arange(dadim[-3])
258	elif len(dadim) == 2: time = np.arange(dadim[-2])
259
260	### TYPE 2 : MESOSCALE FILES
261	elif typefile in ['meso','geo']:
262	### area not active with mesoscale files
263	area = None
264	### HACK TO GET THE CORRECT LAT/LON FROM MESOSCALE FILES WITH 2D LAT/LON ARRAYS
265	### principle: calculate correct indices then repopulate slon and slat
266	if slon is not None or slat is not None:
267	show_topo_map_user = ((save == 'png') and (typefile == 'meso') and ("HGT" in varinfile) and display)
268	if firstfile and show_topo_map_user: iwantawhereplot = nc #show a topo map with a cross on the chosen point
269	else: iwantawhereplot = None #do not show anything, just select indices
270	numlon = 1 ; numlat = 1
271	if slon is not None: numlon = slon.shape[1]
272	if slat is not None: numlat = slat.shape[1]
273	indices = np.ones([numlon,numlat,2]) ; vlon = None ; vlat = None
274	for iii in range(numlon):
275	for jjj in range(numlat):
276	if slon is not None: vlon = slon[0][iii] ### note: slon[:][0] does not work
277	if slat is not None: vlat = slat[0][jjj] ### note: slon[:][0] does not work
278	indices[iii,jjj,:] = bidimfind(lon2d,lat2d,vlon,vlat,file=iwantawhereplot)
279	lonp,latp = ( lon2d[indices[iii,jjj,0],indices[iii,jjj,1]] , lat2d[indices[iii,jjj,0],indices[iii,jjj,1]] )
280	### possible bug here if several --lat
281	for iii in range(numlon):
282	for jjj in range(numlat):
283	if slon is not None: sslon[0][iii] = indices[iii,0,1] #...this is idx
284	if slat is not None: sslat[0][jjj] = indices[0,jjj,0] #...this is idy
285	lonp,latp = ( lon2d[indices[0,0,0],indices[0,0,1]] , lat2d[indices[0,0,0],indices[0,0,1]] )
286	### we get rid of boundary relaxation zone for plots. important to do that now and not before.
287	if (typefile in ['meso'] and mapmode == 1):
288	if '9999' not in getattr(nc,'START_DATE'): lon2d = dumpbdy(lon2d,6) ; lat2d = dumpbdy(lat2d,6)
289	### we read the keyword for vertical dimension. we take care for vertical staggering.
290	if varname in ['PHTOT','W']: vertdim='BOTTOM-TOP_PATCH_END_STAG'
291	else: vertdim='BOTTOM-TOP_PATCH_END_UNSTAG'
292	if (var2 is not None and var2 not in ['PHTOT','W']): dumped_vert_stag=True ; vertdim='BOTTOM-TOP_PATCH_END_UNSTAG'
293	else: dumped_vert_stag=False
294	### we read the keyword for horizontal dimensions. we take care for horizontal staggering.
295	if varname in ['V']: latdim='SOUTH-NORTH_PATCH_END_STAG'
296	else: latdim='SOUTH-NORTH_PATCH_END_UNSTAG'
297	if varname in ['U']: londim='WEST-EAST_PATCH_END_STAG'
298	else: londim='WEST-EAST_PATCH_END_UNSTAG'
299	lon = np.arange(0,getattr(nc,londim),1) ; lat = np.arange(0,getattr(nc,latdim),1)
300	### we define the time axis and take care of various specificities (lt, ls, sol) or issues (concatenation)
301	if axtime in ["ls","sol"]:
302	lstab, soltab, lttab = getlschar ( namefile, getaxis = True )
303	if axtime == "ls": time = lstab
304	elif axtime == "sol": time = soltab
305	else:
306	if ope in ["cat"] and nnn > 0: count = time[-1] + 1 ## so that a cat is possible with simple subscripts
307	else: count = 0
308	if "Times" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Times"]),1)
309	elif "Time" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Time"]),1)
310	else: time = count + np.arange(0,1,1)
311	if axtime in ["lt"]:
312	ftime = np.zeros(len(time))
313	for i in range(len(time)): ftime[i] = localtime ( time[i], slon , namefile )
314	time=ftime ; time=check_localtime(time)
315	print "LOCAL TIMES.... ", time
316	### we define the vertical axis (or lack thereof) and cover possibilities for it to be altitude, pressure, geopotential. quite SPECIFIC.
317	if typefile in ['geo']: vert = [0.] ; stime = readslices(str(0))
318	else:
319	if vertmode is None: vertmode=0
320	if vertmode == 0:
321	if "vert" in nc.variables: vert = nc.variables["vert"][:]/1000. ; vertmode = 1
322	else: vert = np.arange(0,getattr(nc,vertdim),1)
323	elif vertmode == -1: vert = nc.variables["PHTOT"][0,:,0,0]/3.72 ; vert = np.array(vert[0:len(vert)-1]) #; print vert
324	elif vertmode == 1 or vertmode == 2: vert = nc.variables["vert"][:] ## pressure in Pa
325	else: vert = nc.variables["vert"][:]/1000. ## altitude in km
326	####################################################################
327	############ END of WE LOAD 4D DIMENSIONS : x, y, z, t #############
328	####################################################################
329
330	### we fill the arrays of varname, namefile, time, colorbar at the current step considered (NB: why use both k and nnn ?)
331	all_varname[k] = varname
332	all_namefile[k] = namefile
333	all_time[k] = time
334	all_vert[k] = vert
335	all_lat[k] = lat
336	all_lon[k] = lon
337	all_colorb[k] = clb[vvv]
338	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)
339	if winds: all_windu[k] = getfield(nc,uchar) ; all_windv[k] = getfield(nc,vchar)
340	### we fill the arrays of fields to be plotted at the current step considered
341	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)
342
343	# last line of for namefile in namefiles
344	print "**** GOT SUBDATA:",k," NAMEFILE:",namefile," VAR:",varname, var2 ; k += 1 ; firstfile = False
345
346	### note to self : stopped comment rewriting here.
347
348	##################################
349	### Operation on files (I) with _var
350	if ope is not None and "var" in ope:
351	print "********** OPERATION: ",ope
352	if len(namefiles) > 1: errormess("for this operation... please set only one file !")
353	if len(var) > 2: errormess("not sure this works for more than 2 vars... please check.")
354	if "div_var" in ope: all_var[k] = all_var[k-2] / all_var[k-1] ; insert = '_div_'
355	elif "mul_var" in ope: all_var[k] = all_var[k-2] * all_var[k-1] ; insert = '_mul_'
356	elif "add_var" in ope: all_var[k] = all_var[k-2] + all_var[k-1] ; insert = '_add_'
357	elif "sub_var" in ope: all_var[k] = all_var[k-2] - all_var[k-1] ; insert = '_sub_'
358	else: errormess(ope+" : non-implemented operation. Check pp.py --help")
359	plot_x[k] = None ; plot_y[k] = None
360	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]
361	all_varname[k] = all_varname[k-2] + insert + all_varname[k-1]
362	if len(clb) >= zelen: all_colorb[k] = clb[-1] # last additional user-defined color is for operation plot
363	else: all_colorb[k] = all_colorb[k-1] # if no additional user-defined color... set same as var
364	### only the operation plot. do not mention colorb so that it is user-defined?
365	if "only" in ope:
366	numplot = 1 ; all_var[0] = all_var[k]
367	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]
368	all_varname[0] = all_varname[k-2] + insert + all_varname[k-1]
369
370
371	##################################
372	### Operation on files (II) without _var
373	# we re-iterate on the plots to set operation subplots to make it compatible with multifile (using the same ref file)
374	# (k+1)%3==0 is the index of operation plots
375	# (k+2)%3==0 is the index of reference plots
376	# (k+3)%3==0 is the index of first plots
377	opefirstpass=True
378	if ope is not None and "var" not in ope:
379	print "********** OPERATION: ",ope
380	for k in np.arange(zelen):
381	if len(var) > 1: errormess("for this operation... please set only one var !")
382	if ope in ["-","+","-%","-_only","+_only","-%_only","-_histo"]:
383	if fileref is None: errormess("fileref is missing!")
384	else:ncref = Dataset(fileref)
385
386	if opefirstpass: ## first plots
387	for ll in np.arange(len(namefiles)):
388	print "SETTING FIRST PLOT"
389	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]
390	if plot_y[ll] is not None: plot_y[3ll] = plot_y[ll] ; plot_x[3ll] = plot_x[ll]
391	else: plot_y[3ll] = None ; plot_x[3ll] = None
392	opefirstpass=False
393
394	if (k+2)%3==0: ## reference plots
395	print "SETTING REFERENCE PLOT"
396	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]
397	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)
398	if winds: all_windu[k] = getfield(ncref,uchar) ; all_windv[k] = getfield(ncref,vchar)
399
400	if (k+1)%3==0: ## operation plots
401	print "SETTING OPERATION PLOT"
402	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]
403	if ope in ["-","-_only","-_histo"]:
404	all_var[k]= all_var[k-2] - all_var[k-1]
405	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]
406	if plot_y[k-2] is None: plot_y[k] = None; plot_x[k] = None
407	elif ope in ["+","+_only"]:
408	all_var[k]= all_var[k-2] + all_var[k-1]
409	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]
410	if plot_y[k-2] is None: plot_y[k] = None; plot_x[k] = None
411	elif ope in ["-%","-%_only"]:
412	masked = np.ma.masked_where(all_var[k-1] == 0,all_var[k-1])
413	masked.set_fill_value([np.NaN])
414	all_var[k]= 100.*(all_var[k-2] - masked)/masked
415	if plot_y[k-1] is not None and plot_y[k-2] is not None:
416	masked = np.ma.masked_where(plot_y[k-1] == 0,plot_y[k-1])
417	masked.set_fill_value([np.NaN])
418	plot_y[k]= 100.*(plot_y[k-2] - masked)/masked
419	if plot_y[k-2] is None: plot_y[k] = None; plot_x[k] = None
420	if len(clb) >= zelen: all_colorb[k] = clb[-1]
421	else: all_colorb[k] = "RdBu_r" # if no additional user-defined color... set a good default one
422	if winds: all_windu[k] = all_windu[k-2]-all_windu[k-1] ; all_windv[k] = all_windv[k-2] - all_windv[k-1]
423
424	elif ope in ["cat"]:
425	tabtime = all_time[0];tab = all_var[0];k = 1
426	if var2: tab2 = all_var2[0]
427	while k != len(namefiles) and len(all_time[k]) != 0:
428	if var2: tab2 = np.append(tab2,all_var2[k],axis=0)
429	tabtime = np.append(tabtime,all_time[k]) ; tab = np.append(tab,all_var[k],axis=0) ; k += 1
430	all_time[0] = np.array(tabtime) ; all_var[0] = np.array(tab) ; numplot = 1
431	if var2: all_var2[0] = np.array(tab2)
432	else: errormess(ope+" : non-implemented operation. Check pp.py --help")
433	if "only" in ope:
434	numplot = 1 ; all_var[0] = all_var[k]
435	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]
436	all_varname[0] = all_varname[k]
437
438	##################################
439	### Open a figure and set subplots
440	fig = figure()
441	subv,subh = definesubplot( numplot, fig, ipreferline = (mapmode == 1) )
442	if ope in ['-','-%','-_histo'] and len(namefiles) ==1 : subv,subh = 2,2
443	elif ope in ['-','-%'] and len(namefiles)>1 : subv, subh = len(namefiles), 3
444
445	#################################
446	### Time loop for plotting device
447	nplot = 1 ; error = False ; firstpass = True
448	if lstyle is not None: linecycler = cycle(lstyle)
449	else: linecycler = cycle(["-","--","-.",":"])
450	print "********************************************"
451	while error is False:
452
453	print "********** PLOT", nplot, " OF ",numplot
454	if nplot > numplot: break
455
456	####################################################################
457	## get all indexes to be taken into account for this subplot and then reduce field
458	## 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
459	if ope is not None:
460	if fileref is not None: index_f = ((nplot-1)//(nlonnlatnvertntime))%(3len(namefiles)) ## OK only 1 var, see test in the beginning
461	elif "var" in ope: index_f = ((nplot-1)//(nlonnlatnvert*ntime))%(len(var)+1) ## OK only 1 file, see test in the beginning
462	elif "cat" in ope: index_f = 0
463	elif not firstpass:
464	if len(namefiles) > 1 and len(var) == 1 and which == "unidim": pass
465	else: yeah = len(namefiles)len(var) ; index_f = ((nplot-1)//(nlonnlatnvertntime))%yeah
466	else: yeah = len(namefiles)len(var) ; index_f = ((nplot-1)//(nlonnlatnvertntime))%yeah
467	time = all_time[index_f] ; vert = all_vert[index_f] ; lat = all_lat[index_f] ; lon = all_lon[index_f]
468	indexlon = getsindex(sslon,(nplot-1)%nlon,lon)
469	indexlat = getsindex(sslat,((nplot-1)//nlon)%nlat,lat)
470	indexvert = getsindex(svert,((nplot-1)//(nlon*nlat))%nvert,vert)
471	plotx=plot_x[index_f] ; ploty=plot_y[index_f]
472	if mrate is not None: indextime = None
473	else: indextime = getsindex(stime,((nplot-1)//(nlonnlatnvert))%ntime,time)
474	ltst = None
475	if typefile in ['meso'] and indextime is not None and len(indextime) < 2: ltst = localtime ( indextime, slon , all_namefile[index_f])
476
477
478	#if mapmode == 0:
479	# if xlab is None:
480	# if indexlon is None: xlab = "Longitude"
481	# elif indexlat is None: xlab = "Latitude"
482	# if ylab is None:
483	# if indexvert is None: ylab = "Altitude"
484
485
486	print "********** INDEX LON:",indexlon," LAT:",indexlat," VERT:",indexvert," TIME:",indextime
487	##var = nc.variables["phisinit"][:,:]
488	##contourf(np.transpose(var),30,cmap = get_cmap(name="Greys_r") ) ; axis('off') ; plot(indexlat,indexlon,'mx',mew=4.0,ms=20.0)
489	##show()
490	##exit()
491	#truc = True
492	#truc = False
493	#if truc: indexvert = None
494	####################################################################
495	########## REDUCE FIELDS
496	####################################################################
497	error = False
498	varname = all_varname[index_f]
499	which=''
500	if varname: ### what is shaded.
501	what_I_plot, error = reducefield( all_var[index_f], d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \
502	yint=yintegral, alt=vert, anomaly=anomaly, redope=redope, mesharea=area, unidim=is1d)
503	if mult != 2718.: what_I_plot = what_I_plot*mult
504	else: what_I_plot = np.log10(what_I_plot) ; print "log plot"
505
506	if var2: ### what is contoured.
507	what_I_plot_contour, error = reducefield( all_var2[index_f], d4=indextime, d1=indexlon, d2=indexlat , d3=indexvert, \
508	yint=yintegral, alt=vert )
509	if winds: ### what is plot as vectors.
510	vecx, error = reducefield( all_windu[index_f], d4=indextime, d3=indexvert, yint=yintegral, alt=vert)
511	vecy, error = reducefield( all_windv[index_f], d4=indextime, d3=indexvert, yint=yintegral, alt=vert)
512	if varname in [uchar,vchar]: what_I_plot = np.sqrt( np.square(vecx) + np.square(vecy) ) ; varname = "wind"
513
514	if plotx is not None:
515	plotx, error = reducefield( plotx, d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \
516	yint=yintegral, alt=vert, anomaly=anomaly, redope=redope, mesharea=area, unidim=is1d)
517	ploty, error = reducefield( ploty, d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \
518	yint=yintegral, alt=vert, anomaly=anomaly, redope=redope, mesharea=area, unidim=is1d)
519	which='xy'
520	#####################################################################
521	#if truc:
522	# nx = what_I_plot.shape[2] ; ny = what_I_plot.shape[1] ; nz = what_I_plot.shape[0]
523	# for k in range(nz): print k,' over ',nz ; what_I_plot[k,:,:] = what_I_plot[k,:,:] / smooth(what_I_plot[k,:,:],12)
524	# for iii in range(nx):
525	# for jjj in range(ny):
526	# deviation = what_I_plot[:,jjj,iii] ; mx = max(deviation) ; mn = min(deviation)
527	# 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
528	# else: what_I_plot[0,jjj,iii] = 0.
529	# if np.abs(what_I_plot[0,jjj,iii]) > 1.5:
530	# print iii,jjj,what_I_plot[0,jjj,iii],int(abs(1.-mx)100.),int(abs(1.-mn)100.)
531	# plot(rel)
532	# show()
533	# anomaly = True ### pour avoir les bons reglages plots
534	# what_I_plot = what_I_plot[0,:,:]
535	#####################################################################
536
537	####################################################################
538	### General plot settings
539	changesubplot = (numplot > 1) and (len(what_I_plot.shape) != 1) and (which != "xy") ## default for 1D plots: superimposed. to be reworked for better flexibility.
540	if changesubplot: subplot(subv,subh,nplot) #; subplots_adjust(wspace=0,hspace=0)
541	colorb = all_colorb[index_f]
542	####################################################################
543	if error:
544	errormess("There is an error in reducing field !")
545	else:
546	ticks = ndiv + 1
547	fvar = varname
548	if anomaly: fvar = 'anomaly'
549	###
550	if mapmode == 0: ### could this be moved inside imov loop ?
551	itime=indextime
552	if len(what_I_plot.shape) == 3: itime=[0]
553	m = None ; x = None ; y = None
554	latyeah = lat ; lonyeah = lon
555	if typefile in ['meso']:
556	# now that the section is determined we can set the real lat
557	# ... or for now, a temptative one.
558	milieux = int(lat2d.shape[1]/2.)
559	milieuy = int(lat2d.shape[0]/2.)
560	if slon is not None or proj == "noproj": latyeah = lat2d[:,milieux]
561	if slat is not None or proj == "noproj": lonyeah = lon2d[milieuy,:]
562	what_I_plot, x, y = define_axis(lonyeah,latyeah,vert,time,indexlon,indexlat,indexvert,\
563	itime,what_I_plot, len(all_var[index_f].shape),vertmode,redope)
564	###
565	if analysis in ['laplace']: what_I_plot = ndimage.laplace(what_I_plot)
566	###
567	if (fileref is not None) and ((index_f+1)%3 == 0): zevmin, zevmax = calculate_bounds(what_I_plot,vmin=minop,vmax=maxop)
568	else: zevmin, zevmax = calculate_bounds(what_I_plot,vmin=vmin,vmax=vmax)
569	#if (fileref is not None) and (index_f == numplot-1): colorb = "RdBu_r"
570	if colorb in ["def","nobar","onebar"]: palette = get_cmap(name=defcolorb(fvar.upper()))
571	else: palette = get_cmap(name=colorb)
572	#palette = cm.GMT_split
573	#palette = cm.GMT_globe
574	##### 1. ELIMINATE 0D or >3D CASES
575	if len(what_I_plot.shape) == 0:
576	print "VALUE VALUE VALUE VALUE ::: ",what_I_plot
577	save = 'donothing'
578	elif len(what_I_plot.shape) >= 4:
579	print "WARNING!!! ",len(what_I_plot.shape),"-D PLOT NOT SUPPORTED !!! dimensions: ",what_I_plot.shape
580	errormess("Are you sure you did not forget to prescribe a dimension ?")
581	##### 2. HANDLE simple 1D/2D field and movies of 1D/2D fields
582	else:
583	if mrate is not None: iend=len(time)-1
584	else: iend=0
585	imov = 0
586	if analysis in ['density','histo','fft','histodensity']: which="xy"
587	elif len(what_I_plot.shape) == 3:
588	if var2 and which == '': which = "contour" ## have to start with contours rather than shading
589	elif which == '': which = "regular"
590	if mrate is None: errormess("3D field. Use --rate RATE for movie or specify --time TIME. Exit.")
591	elif len(what_I_plot.shape) == 2:
592	if var2 and which == '': which = "contour" ## have to start with contours rather than shading
593	elif which == '': which = "regular"
594	if mrate is not None and which == '': which = "unidim"
595	elif len(what_I_plot.shape) == 1 and which == '' :
596	which = "unidim"
597	if what_I_plot.shape[-1] == 1: print "VALUE VALUE VALUE VALUE ::: ", what_I_plot[0] ; save = 'donothing'
598	## if which == "unidim" and len(namefiles) > 1: numplot = 1 # this case is similar to several vars from one file
599	##### IMOV LOOP #### IMOV LOOP
600	while imov <= iend:
601	print "-> frame ",imov+1, which
602	if which == "regular":
603	if mrate is None: what_I_plot_frame = what_I_plot
604	else: what_I_plot_frame = what_I_plot[imov,:,:]
605	if winds:
606	if mrate is None: vecx_frame = vecx ; vecy_frame = vecy
607	else: vecx_frame = vecx[imov,:,:] ; vecy_frame = vecy[imov,:,:]
608	elif which == "contour":
609	if mrate is None or what_I_plot_contour.ndim < 3: what_I_plot_frame = what_I_plot_contour
610	else: what_I_plot_frame = what_I_plot_contour[imov,:,:]
611	elif which == "unidim":
612	if mrate is None: what_I_plot_frame = what_I_plot
613	else: what_I_plot_frame = what_I_plot[:,imov] ## because swapaxes
614	#if mrate is not None:
615	if mapmode == 1:
616	m = define_proj(proj,wlon,wlat,back=back,blat=blat,blon=blon) ## this is dirty, defined above but out of imov loop
617	x, y = m(lon2d, lat2d) ## this is dirty, defined above but out of imov loop
618	if (typefile in ['meso'] and mapmode == 1):
619	if '9999' not in getattr(nc,'START_DATE'): what_I_plot_frame = dumpbdy(what_I_plot_frame,6,condition=True)
620	# if typefile in ['mesoideal']: what_I_plot_frame = dumpbdy(what_I_plot_frame,0,stag='W',condition=dumped_vert_stag)
621
622	if which == "unidim":
623	# if lbls is not None: lbl=lbls[nplot-1]
624	if lbls is not None: lbl=lbls[index_f]
625	else:
626	lbl = ""
627	if indexlat is not None: lbl = lbl + " ix" + str(indexlat[0])
628	if indexlon is not None: lbl = lbl + " iy" + str(indexlon[0])
629	if indexvert is not None: lbl = lbl + " iz" + str(indexvert[0])
630	if indextime is not None: lbl = lbl + " it" + str(indextime[0])
631	if lbl == "": lbl = all_namefile[index_f]
632
633	if mrate is not None: x = y ## because swapaxes...
634	#what_I_plot_frame = np.diff(what_I_plot_frame, n=1) ; x = x[1:]
635
636	zeline = next(linecycler) ## "-" for simple lines
637	if tile: zemarker = 'x'
638	else: zemarker = None
639	this_is_a_regular_plot = (indexvert is not None) or (indextime is None) or (indexlat is None) or (indexlon is None)
640	if this_is_a_regular_plot: plot(x,what_I_plot_frame,zeline,label=lbl,marker=zemarker) ## vertical profile
641	else: plot(what_I_plot_frame,x,zeline,label=lbl,marker=zemarker) ## regular plot
642	mpl.pyplot.grid(True)
643	if nplot > 1: legend(loc='best')
644	if indextime is None and axtime is not None and xlab is None: xlabel(axtime.upper()) ## define the right label
645	if save == 'txt': writeascii(np.transpose([x,np.transpose(what_I_plot)]),'profile'+str(nplot*1000+imov)+'.txt')
646	if axtime == "lt" and indextime is None:
647	ax = mpl.pyplot.gca()
648	# set ticks where your images will be
649	ax.get_xaxis().set_ticks(np.arange(0,48,2))
650	# rename tick labels
651	ax.get_xaxis().set_ticklabels(["0","2","4","6","8","10","12","14","16","18","20","22",\
652	"0","2","4","6","8","10","12","14","16","18","20","22"])
653	## rebound everyone
654	ax.set_xbound(lower=min(x), upper=max(x))
655	elif which == "xy":
656	if lbls is not None: lbl=lbls[index_f]
657	else: lbl=None
658	if analysis is not None:
659	if analysis == 'histo':
660	if zelen == 1:
661	mpl.pyplot.hist(ploty.flatten(),bins=ndiv,normed=True, alpha=0.67, facecolor = 'green', label = lbls)
662	mpl.pyplot.legend()
663	mpl.pyplot.grid(True)
664	mpl.pyplot.title(zetitle)
665	else:
666	multiplot[index_f]=ploty.flatten()
667	if index_f == zelen-1:
668	if ope is not None: multiplot = getVar(multiplot,3*np.arange((index_f+1)/3)+2) ## we only compute histograms for the operation plots
669	mpl.pyplot.hist(multiplot,bins=ndiv,normed=True, alpha=0.75, label = lbls)
670	mpl.pyplot.legend()
671	mpl.pyplot.grid(True)
672	mpl.pyplot.title(zetitle)
673	elif analysis in ['density','histodensity']:
674	if ope is not None and (index_f+1)%3 !=0: pass
675	else:
676	plotx = np.linspace(min(ploty.flatten()),max(ploty.flatten()),1000)
677	density = gaussian_kde(ploty.flatten())
678	# density.covariance_factor = lambda : .25 # adjust the covariance factor to change the bandwidth if needed
679	# density._compute_covariance()
680	# display the mean and variance of the kde:
681	sample = density.resample(size=20000)
682	n, (smin, smax), sm, sv, ss, sk = describe(sample[0])
683	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])
684	if analysis == 'histodensity': # plot both histo and density (to assess the rightness of the kernel density estimate for exemple) and display the estimated variance
685	mpl.pyplot.hist(ploty.flatten(),bins=ndiv,normed=True, alpha=0.30, label = lbl)
686	if index_f == zelen-1: mpl.pyplot.legend() ; mpl.pyplot.title(zetitle)
687	else:
688	plot(plotx,ploty,label = lbl)
689	if index_f == zelen-1: mpl.pyplot.legend() ; mpl.pyplot.title(zetitle)
690	mpl.pyplot.grid(True)
691	else:
692	plot(plotx,ploty,label = lbl)
693	if index_f == zelen-1: mpl.pyplot.legend() ; mpl.pyplot.title(zetitle)
694	if varname == 'hodograph':
695	a=0
696	for ii in np.arange(len(time)):
697	if a%6 == 0: mpl.pyplot.text(plotx[ii],ploty[ii],time[ii])
698	a=a+1
699	mpl.pyplot.grid(True)
700
701	elif which == "regular":
702
703	# plot stream lines if there is a stream file and a vert/lat slice. Might not work with movies ??
704	if streamflag and sslat is None and svert is None:
705	streamfile = all_namefile[index_f].replace('.nc','_stream.nc')
706	teststream = os.path.exists(streamfile)
707	if teststream:
708	print 'INFO: Using stream file',streamfile, 'for stream lines'
709	ncstream = Dataset(streamfile)
710	psi = getfield(ncstream,'psi')
711	psi = psi[0,:,:,0] # time and longitude are dummy dimensions
712	if psi.shape[1] != len(x) or psi.shape[0] != len(y):
713	errormess('stream file does not fit! Dimensions: '+str(psi.shape)+' '+str(x.shape)+' '+str(y.shape))
714	zelevels = np.arange(-1.e10,1.e10,1.e9)
715	zemin = np.min(abs(zelevels))
716	zemax = np.max(abs(zelevels))
717	zewidth = (abs(zelevels)-zemin)*(5.- 0.5)/(zemax - zemin) + 0.5 # linewidth ranges from 5 to 0.5
718	cs = contour( x,y,psi, zelevels, colors='k', linewidths = zewidth)
719	clabel(cs, inline=True, fontsize = 4.*rcParams['font.size']/5., fmt="%1.1e")
720	else:
721	print 'WARNING: STREAM FILE',streamfile, 'DOES NOT EXIST !'
722
723	if hole: what_I_plot_frame = hole_bounds(what_I_plot_frame,zevmin,zevmax)
724	else: what_I_plot_frame = bounds(what_I_plot_frame,zevmin,zevmax)
725	if flagnolow: what_I_plot_frame = nolow(what_I_plot_frame)
726	if not tile:
727	#zelevels = np.linspace(zevmin(1. + 1.e-7),zevmax(1. - 1.e-7)) #,num=20)
728	zelevels = np.linspace(zevmin,zevmax,num=ticks)
729	#what_I_plot_frame = smooth(what_I_plot_frame,100)
730	if mapmode == 1: m.contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans)
731	elif mapmode == 0: contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans)
732	else:
733	if mapmode == 1: m.pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans)
734	elif mapmode == 0: pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans)
735
736	if (cross is not None or markdevil) and mapmode == 1:
737	if cross is not None:
738	howmuch = np.array(cross).shape[0]
739	for ttt in range(howmuch):
740	idx,idy=m(cross[ttt][0],cross[ttt][1])
741	mpl.pyplot.plot([idx],[idy],'+k',mew=0.5,ms=18)
742	elif markdevil:
743	idx,idy=find_devil(nc,indextime)
744	idx,idy=x[idx,idy],y[idx,idy]
745	mpl.pyplot.plot([idx],[idy],'+k',mew=0.5,ms=18)
746
747	if not nocolorb:
748	if colorb not in ['nobar','onebar']:
749	if (fileref is not None) and ((index_f+1)%3 == 0): daformat = "%.3f"
750	elif mult != 1: daformat = "%.1f"
751	else: daformat = fmtvar(fvar.upper())
752	#if proj in ['moll','cyl']: zeorientation="horizontal" ; zepad = 0.05
753	if proj in ['moll']: zeorientation="horizontal" ; zepad = 0.05
754	else: zeorientation="vertical" ; zepad = 0.03
755	zecb = colorbar( fraction=0.05,pad=zepad,format=daformat,orientation=zeorientation,\
756	ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional' )
757	if zeorientation == "horizontal" and zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]=""
758	if winds:
759	if typefile in ['meso']:
760	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)]
761	key = True
762	if fvar in ['UV','uv','uvmet']: key = False
763	elif typefile in ['gcm']:
764	key = False
765	if metwind and mapmode == 1: [vecx_frame,vecy_frame] = m.rotate_vector(vecx_frame, vecy_frame, lon2d, lat2d)
766	if trans != 0.0: colorvec = definecolorvec(colorb)
767	else: colorvec = definecolorvec(back)
768	vectorfield(vecx_frame, vecy_frame, x, y, stride=stride, csmooth=2,\
769	#scale=15., factor=300., color=colorvec, key=key)
770	scale=20., factor=250./facwind, color=colorvec, key=key)
771	#200. ## or csmooth=stride
772	### THIS IS A QUITE SPECIFIC PIECE (does not work for mesoscale files)
773	if ope == '-_histo' and nplot == numplot: # this should work as long as ope is '-' guarantees 3 plots for 4 panels without contour
774	subplot(subv,subh,nplot+1)
775	rcParams["legend.fontsize"] = 'xx-large'
776	if indexlat is None:
777	latmin = -50.; latmax = 50. # latitude range for histogram of difference
778	zeindexlat = (lat<latmax)*(lat>latmin)
779	if typefile in ['meso']: zeindexlat = 10
780	# this follows the define_axis logic in myplot.py:
781	if indextime is None or indexlon is None: what_I_plot_frame = what_I_plot_frame[zeindexlat,:]
782	else: what_I_plot_frame = what_I_plot_frame[:,zeindexlat]
783	toplot = np.ravel(what_I_plot_frame[np.isnan(what_I_plot_frame)==False])
784	zebins = np.linspace(zevmin,zevmax,num=30)
785	hist(toplot,bins=zebins,histtype='step',linewidth=2,color='k',normed=True)
786	zestd = np.std(toplot);zemean = np.mean(toplot)
787	zebins = np.linspace(zevmin,zevmax,num=300)
788	zegauss = (1./(zestd * np.sqrt(2 * np.pi)) * np.exp( - (zebins - zemean)*2 / (2 zestd**2) ) )
789	plot(zebins, zegauss, linewidth=1, color='r',label="mean: "+str(zemean)[0:5]+"\nstd: "+str(zestd)[0:5])
790	legend(loc=0,frameon=False)
791	subplot(subv,subh,nplot) # go back to last plot for title of contour difference
792	if ope is not None and "only" not in ope: title("fig(1) "+ope+" fig(2)")
793	elif ope is not None and "only" in ope: title("fig(1) "+ope[0]+" fig(2)")
794
795	elif which == "contour":
796	zevminc, zevmaxc = calculate_bounds(what_I_plot_frame, vmin=min(what_I_plot_frame), vmax=max(what_I_plot_frame))
797	zelevels = np.linspace(zevminc,zevmaxc,ticks/2) #20)
798	### another dirty specific stuff in the wall
799	if var2 == 'HGT': zelevels = np.arange(-10000.,30000.,500.) #1000.)
800	elif var2 == 'tpot': zelevels = np.arange(270,370,5)
801	elif var2 == 'tk': zelevels = np.arange(150,250,5)
802	elif var2 == 'wstar': zelevels = np.arange(0,10,1.0)
803	elif var2 == 'zmax_th': zelevels = np.arange(0,10,2.0) ; what_I_plot_frame = what_I_plot_frame / 1000.
804	###
805	if mapmode == 0:
806	what_I_plot_frame, x, y = define_axis( lonyeah,latyeah,vert,time,indexlon,indexlat,indexvert,\
807	itime,what_I_plot_frame, len(all_var2[index_f].shape),vertmode,redope)
808	## is this needed? only if len(all_var2[index_f].shape) != len(all_var[index_f].shape)
809	cs = contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33)#, alpha=0.5, linestyles='solid')
810	#cs = contour( x,y,what_I_plot_frame, zelevels, colors='w', linewidths = 0.5)#, alpha=0.5, linestyles='solid')
811	clabel(cs, inline=1, fontsize = 4.*rcParams['font.size']/5., fmt=fmtvar(var2.upper()))
812	elif mapmode == 1:
813	cs = m.contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33)#, alpha=0.5, linestyles='solid')
814	#clabel(cs, inline=0, fontsize = rcParams['font.size'], fmt="%.0f") #fmtvar(var2.upper()))
815	if which in ["regular","unidim","xy"]:
816
817	if nplot > 1 and which in ["unidim","xy"]:
818	pass ## because we superimpose nplot instances
819	else:
820	# Axis directives for movie frames [including the first one).
821	zxmin, zxmax = xaxis ; zymin, zymax = yaxis
822	if zxmin is not None: mpl.pyplot.xlim(xmin=zxmin)
823	if zxmax is not None: mpl.pyplot.xlim(xmax=zxmax)
824	if zymin is not None: mpl.pyplot.ylim(ymin=zymin)
825	if zymax is not None: mpl.pyplot.ylim(ymax=zymax)
826	if ylog and not xlog: mpl.pyplot.semilogy()
827	if xlog and not ylog: mpl.pyplot.semilogx()
828	if xlog and ylog:
829	mpl.pyplot.xscale('log')
830	mpl.pyplot.yscale('log')
831	if invert_y: ax = mpl.pyplot.gca() ; ax.set_ylim(ax.get_ylim()[::-1])
832	if xlab is not None: xlabel(xlab)
833	if ylab is not None: ylabel(ylab)
834
835	if mrate is not None:
836	### THIS IS A MENCODER MOVIE
837	if mrate > 0:
838	figframe=mpl.pyplot.gcf()
839	if mquality: figframe.set_dpi(600.)
840	else: figframe.set_dpi(200.)
841	mframe=fig2img(figframe)
842	if imov == 0:
843	moviename='movie' ;W,H = figframe.canvas.get_width_height()
844	video = VideoSink((H,W), moviename, rate=mrate, byteorder="rgba")
845	video.run(mframe) ; close()
846	if imov == iend: video.close()
847	### THIS IS A WEBPAGE MOVIE
848	else:
849	nameframe = "image"+str(1000+imov)
850	makeplotres(nameframe,res=100.,disp=False) ; close()
851	if imov == 0: myfile = open("zepics", 'w')
852	myfile.write("modImages["+str(imov)+"] = '"+nameframe+"_100.png';"+ '\n')
853	if imov == iend:
854	myfile.write("first_image = 0;"+ '\n')
855	myfile.write("last_image = "+str(iend)+";"+ '\n')
856	myfile.close()
857	if var2 and which == "regular": which = "contour"
858	imov = imov+1
859	elif which == "contour":
860	which = "regular"
861
862	### Next subplot
863	zevarname = varname
864	if redope is not None: zevarname = zevarname + "_" + redope
865	basename = getname(var=zevarname,var2=var2,winds=winds,anomaly=anomaly)
866	if len(what_I_plot.shape) > 3:
867	basename = basename + getstralt(nc,level)
868	if mrate is not None: basename = "movie_" + basename
869	if typefile in ['meso']:
870	if sslon is not None: basename = basename + "_lon_" + str(int(round(lonp)))
871	if sslat is not None: basename = basename + "_lat_" + str(int(round(latp)))
872	plottitle = basename
873	### dans le nouveau systeme time=ls,sol,lt cette ligne pourrait ne servir a rien (ou deplacer au dessus)
874	if addchar and indextime is not None: [addchar,gogol,gogol2] = getlschar ( all_namefile[index_f] ) ; plottitle = plottitle + addchar
875	### en fait redope is None doit etre remplace par : n'est ni maxt ni mint
876	if redope is None and ltst is not None and ( (mapmode == 0) or (proj in ["lcc","laea","merc","nsper"]) ): plottitle = plottitle + "_LT" + str(ltst)
877	else:
878	if fileref is not None:
879	if (index_f+1)%3 == 0: plottitle = basename+' '+"fig(1) "+ope+" fig(2)"
880	elif (index_f+2)%3 == 0: plottitle = basename+' '+fileref
881	else: plottitle = basename+' '+all_namefile[index_f]
882	else: plottitle = basename+' '+all_namefile[index_f]
883	if mult != 1: plottitle = '{:.0e}'.format(mult) + "*" + plottitle
884	if zetitle[0] != "fill":
885	if index_f < len(zetitle): plottitle = zetitle[index_f]
886	else: plottitle = zetitle[0]
887	if titleref is "fill": titleref=zetitle[index_f]
888	if fileref is not None and which != "xy":
889	if (index_f+2)%3 == 0: plottitle = titleref
890	if (index_f+1)%3 == 0: plottitle = "fig(1) "+ope+" fig(2)"
891	# if indexlon is not None: plottitle = plottitle + " lon: " + str(min(lon[indexlon])) +" "+ str(max(lon[indexlon]))
892	# if indexlat is not None: plottitle = plottitle + " lat: " + str(min(lat[indexlat])) +" "+ str(max(lat[indexlat]))
893	# if indexvert is not None: plottitle = plottitle + " vert: " + str(min(vert[indexvert])) +" "+ str(max(vert[indexvert]))
894	# if indextime is not None: plottitle = plottitle + " time: " + str(min(time[indextime])) +" "+ str(max(time[indextime]))
895	if colorb != "onebar": title( plottitle )
896	if nplot >= numplot: error = True
897	nplot += 1
898
899	if len(namefiles) > 1 and len(var) == 1 and which == "unidim": index_f=index_f+1
900	firstpass=False
901
902	if colorb == "onebar":
903	cax = axes([0.1, 0.2, 0.8, 0.03]) # a ameliorer
904	zecb = colorbar(cax=cax, orientation="horizontal", format=fmtvar(fvar.upper()),\
905	ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional')
906	if zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]=""
907
908
909	##########################################################################
910	### Save the figure in a file in the data folder or an user-defined folder
911	if outputname is None:
912	if typefile in ['meso']: prefix = getprefix(nc)
913	elif typefile in ['gcm']: prefix = 'LMD_GCM_'
914	else: prefix = ''
915	###
916	zeplot = prefix + basename
917	if zoom: zeplot = zeplot + "zoom"+str(abs(zoom))
918	if addchar: zeplot = zeplot + addchar
919	if numplot <= 0: zeplot = zeplot + "_LT"+str(abs(numplot))
920	###
921	if not target: zeplot = namefile[0:find(namefile,'wrfout')] + zeplot
922	else: zeplot = target + "/" + zeplot
923	###
924	else:
925	zeplot=outputname
926
927	if mrate is None:
928	pad_inches_value = 0.35
929	if wlon[1]-wlon[0] < 2.: pad_inches_value = 0.5 # LOCAL MODE (small values)
930	print "********** SAVE ", save
931	if save == 'png':
932	if display: makeplotres(zeplot,res=100.,pad_inches_value=pad_inches_value) #,erase=True) ## a miniature
933	makeplotres(zeplot,res=resolution,pad_inches_value=pad_inches_value,disp=False)
934	elif save in ['eps','svg','pdf']: makeplotres(zeplot,pad_inches_value=pad_inches_value,disp=False,ext=save)
935	elif save == 'gui': show()
936	elif save == 'donothing': pass
937	elif save == 'txt': print "Saved results in txt file."
938	else:
939	print "INFO: save mode not supported. using gui instead."
940	show()
941
942	###################################
943	#### Getting more out of this video -- PROBLEMS WITH CREATED VIDEOS
944	#
945	if mrate is not None and save != "html":
946	print "Re-encoding movie.. first pass"
947	video.first_pass(filename=zeplot,quality=mquality,rate=mrate)
948	# print "Re-encoding movie.. second pass"
949	# video.second_pass(filename=moviename,quality=mquality,rate=mrate)
950
951	###############
952	### Now the end
953	return zeplot

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