Context Navigation

source: trunk/UTIL/PYTHON/planetoplot.py @ 877

Last change on this file since 877 was 877, checked in by aslmd, 12 years ago
UTIL PYTHON. A bug fix for previous commit. Ensure that what is coming from getfieldred has not changed dimension.
Property svn:executable set to ``*
File size: 67.3 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	add=0.,\
41	zetitle=["fill"],\
42	slon=None,\
43	slat=None,\
44	svert=None,\
45	stime=None,\
46	outputname=None,\
47	resolution=200,\
48	ope=None,\
49	fileref=None,\
50	minop=0.,\
51	maxop=0.,\
52	titleref="fill",\
53	invert_y=False,\
54	xaxis=[None,None],\
55	yaxis=[None,None],\
56	ylog=False,\
57	xlog=False,\
58	yintegral=False,\
59	blat=None,\
60	blon=None,\
61	tsat=False,\
62	flagnolow=False,\
63	mrate=None,\
64	mquality=False,\
65	trans=1,\
66	zarea=None,\
67	axtime=None,\
68	redope=None,\
69	seevar=False,\
70	xlab=None,\
71	ylab=None,\
72	lbls=None,\
73	lstyle=None,\
74	cross=None,\
75	markdevil=False,\
76	facwind=1.,\
77	trycol=False,\
78	streamflag=False,\
79	nocolorb=False,\
80	analysis=None,\
81	monster=False):
82
83	####################################################################################################################
84	### Colorbars http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps?action=AttachFile&do=get&target=colormaps3.png
85
86	#################################
87	### Load librairies and functions
88	import netCDF4
89
90	import matplotlib as mpl
91	import matplotlib.pyplot
92	import matplotlib.cm
93	from mpl_toolkits.basemap import cm
94	if mrate is not None: from videosink import VideoSink
95
96	import numpy as np
97	from numpy.core.defchararray import find
98	import scipy
99	if analysis in ['laplace']: import scipy.ndimage.laplace as laplace
100
101	import itertools
102	import os
103
104	import myplot
105	from mymath import deg,max,min,mean,writeascii,fig2data,fig2img
106	from times import sol2ls
107	#from singlet import singlet
108
109
110	#########################
111	### PRELIMINARY STUFF ###
112	#########################
113	### we say hello
114	print "********************************************"
115	print "******** WELCOME TO PLANETOPLOT ********"
116	print "********************************************"
117	if monster:
118	print "******* SPEED MODE. EXPERIMENTAL. ******"
119	print "********************************************"
120	### we ensure namefiles and var are arrays
121	if not isinstance(namefiles, np.ndarray): namefiles = [namefiles]
122	if not isinstance(var, np.ndarray): var = [var]
123	### we initialize a few variables
124	initime=-1 ; sslon = None ; sslat = None
125	k = 0 ; firstfile = True ; count = 0
126	### we perform sanity checks and correct for insufficient information
127	if slon is not None: sslon = np.zeros([1,2])
128	if slat is not None: sslat = np.zeros([1,2])
129	if clb is None: clb = ["def"]*len(var)
130	elif len(clb) < len(var): clb = [clb[0]]*len(var) ; print "WARNING: less color than vars! setting all to 1st value."
131	if redope is not None and winds: winds=False ; print "WARNING: no winds with redope. setting winds to False."
132	### we set option trycol i.e. the user wants to try a set of colorbars
133	if trycol: clb = ["Greys","Blues","YlOrRd","jet","spectral","hot","RdBu","RdYlBu","Paired"] ; zetitle = clb ; var = [var[0]]*9
134	### we avoid specific cases not yet implemented
135	if mrate is not None and len(var) > 1: myplot.errormess("multivar not allowed in movies. should be fixed soon!")
136	### we prepare number of plot fields [zelen] and number of plot instances [numplot] according to user choices
137	### --> we support multifile and multivar plots : files + vars separated by commas are on the same figure
138	nlon, nlat, nvert, ntime, mapmode, nslices = myplot.determineplot(slon, slat, svert, stime, redope)
139	zelen = len(namefiles)*len(var)
140	if (nslices > 1 and monster): myplot.errormess("multislice + monster not supported yet. to be done soon")
141	### we have a special mode obtained by -p noproj in which lat/lon plots are just flat 2D plots
142	if proj == "noproj": mapmode = 0
143	### we correct number of plot fields for possible operation (substract, etc...)
144	if ope is not None:
145	if fileref is not None: zelen = 3len(var)len(namefiles)
146	elif "var" in ope: zelen = zelen + 1
147	numplot = zelen*nslices
148	print "********** FILES, SLICES, VARS, TOTAL PLOTS: ", len(namefiles), nslices, len(var), numplot
149	print "********** MAPMODE: ", mapmode
150	### we define the arrays for plot fields -- which will be placed within multiplot loops
151	all_var = [[]]zelen ; all_var2 = [[]]zelen
152	all_title = [[]]zelen ; all_varname = [[]]zelen ; all_namefile = [[]]zelen ; all_colorb = [[]]zelen
153	all_time = [[]]zelen ; all_vert = [[]]zelen ; all_lat = [[]]zelen ; all_lon = [[]]zelen
154	all_windu = [[]]zelen ; all_windv = [[]]zelen
155	plot_x = [[]]zelen ; plot_y = [[]]zelen ; multiplot = [[]]*zelen
156	### tool (should be move to mymath)
157	getVar = lambda searchList, ind: [searchList[i] for i in ind]
158	#############################
159	### LOOP OVER PLOT FIELDS ###
160	#############################
161
162	for nnn in range(len(namefiles)):
163	for vvv in range(len(var)):
164
165	### we load each NETCDF objects in namefiles
166	namefile = namefiles[nnn]
167	nc = netCDF4.Dataset(namefile)
168	### we explore the variables in the file
169	varinfile = nc.variables.keys()
170	if seevar: print varinfile ; exit()
171	### we define the type of file we have (gcm, meso, etc...)
172	typefile = myplot.whatkindfile(nc)
173	if firstfile: typefile0 = typefile
174	elif typefile != typefile0: myplot.errormess("Not the same kind of files !", [typefile0, typefile])
175	### we care for input file being 1D simulations
176	is1d=999
177	if "longitude" in nc.dimensions and "latitude" in nc.dimensions: is1d = len(nc.dimensions["longitude"])*len(nc.dimensions["latitude"])
178	elif "lon" in nc.dimensions and "lat" in nc.dimensions: is1d = len(nc.dimensions["lon"])*len(nc.dimensions["lat"])
179	if typefile in ['gcm','earthgcm'] and is1d == 1: mapmode=0 ; winds=False
180	### we create default vert and time prescriptions if not here in case mapping mode is on (lat/lon maps)
181	if redope is None and mapmode == 1:
182	if svert is None: svert = myplot.readslices(str(level)) ; nvert=1
183	if stime is None and mrate is None:
184	stime = myplot.readslices(str(0)) ; ntime=1 ## this is a default choice
185	print "WELL... nothing about time axis. I took default: first time reference stored in file."
186	### we get the names of variables to be read. in case only one available, we choose this one.
187	### (we take out of the test specific names e.g. UV is not in the file but used to ask a wind speed computation)
188	varname = myplot.select_getfield(zvarname=var[vvv],znc=nc,ztypefile=typefile,mode='check')
189	### we get the names of wind variables to be read (if any)
190	if winds:
191	[uchar,vchar,metwind] = myplot.getwinddef(nc)
192	if uchar == 'not found': winds = False
193	### we tell the user that either no var or no wind is not acceptable
194	if not varname and not winds: myplot.errormess("please set at least winds or var",printvar=nc.variables)
195	### we get the coordinates lat/lon to be used
196	[lon2d,lat2d] = myplot.getcoorddef(nc)
197	### we get an adapted map projection if none is provided by the user
198	if proj == None: proj = myplot.getproj(nc)
199	### we define plot boundaries given projection or user choices
200	if firstfile:
201	if proj in ["npstere","spstere"]: [wlon,wlat] = myplot.polarinterv(lon2d,lat2d)
202	elif proj in ["lcc","laea"]: [wlon,wlat] = myplot.wrfinterv(lon2d,lat2d)
203	else: [wlon,wlat] = myplot.simplinterv(lon2d,lat2d)
204	if zoom: [wlon,wlat] = myplot.zoomset(wlon,wlat,zoom)
205	elif zarea is not None: [wlon,wlat] = myplot.latinterv(area=zarea)
206
207	#############################################################
208	############ WE LOAD 4D DIMENSIONS : x, y, z, t #############
209	#############################################################
210
211	###should be available for GCM or simple files ?
212	##if ope in ["cat"] and nnn > 0: count = time[-1] + 1 ## so that a cat is possible with simple subscripts
213
214	### TYPE 1 : GCM files or simple files
215	if typefile in ["gcm","earthgcm","ecmwf"]:
216	### this is needed for continuity
217	if slon is not None: sslon = slon
218	if slat is not None: sslat = slat
219	### we define lat/lon vectors. we get what was done in getcoorddef.
220	lat = lat2d[:,0] ; lon = lon2d[0,:]
221	### we define areas. this is needed for calculate means and weight with area. this is not compulsory (see reduce_field).
222	if "aire" in nc.variables: area = nc.variables["aire"][:,:]
223	### --> add a line here if your reference is not present
224	else: area = None
225	### we define altitude vector. either it is referenced or it is guessed based on last variable's dimensions.
226	if "altitude" in nc.variables: vert = nc.variables["altitude"][:]
227	elif "Alt" in nc.variables: vert = nc.variables["Alt"][:]
228	elif "lev" in nc.variables: vert = nc.variables["lev"][:]
229	elif "presnivs" in nc.variables: vert = nc.variables["presnivs"][:]
230	### --> add a line here if your reference is not present
231	else:
232	dadim = myplot.getdimfromvar(nc) ; print "No altitude found. Try to build a simple axis.",dadim
233	if len(dadim) == 4: print "-- 4D field. Assume z is dim 2." ; vert = np.arange(dadim[-3])
234	elif len(dadim) == 3: print "-- 3D field. Assume z is dim 1." ; vert = [0.]
235	else: vert = [0.]
236	### we define time vector. either it is referenced or it is guessed based on last variable's dimensions.
237	if "Time" in nc.variables: letime = "Time"
238	elif "time_counter" in nc.variables: letime = "time_counter"
239	elif "time" in nc.variables: letime = "time"
240	### --> add a line here if your reference is not present
241	else: letime = None
242	if letime is not None:
243	if monster:
244	### very long simulation... we just retrieve 3 values for time
245	timelength = len(nc.dimensions[letime])
246	dafirst = nc.variables[letime][0]
247	dalast = nc.variables[letime][timelength-1]
248	step = nc.variables[letime][1] - dafirst
249	time = np.arange(dafirst,dalast,step)
250	else:
251	### if the time record is not too long, what follows is pretty quick
252	time = nc.variables[letime][:]
253	else:
254	print "No time found. Try to build a simple axis. Assume t is dim 1."
255	dadim = myplot.getdimfromvar(nc)
256	if len(dadim) == 4: time = np.arange(dadim[-4])
257	elif len(dadim) == 3: time = np.arange(dadim[-3])
258	else: time = [0.] #myplot.errormess("no time axis found.")
259	### (SPECIFIC?)
260	if "time_counter" in nc.variables: time = time / 86400. #### convert from s to days
261	### (SPECIFIC. convert to Ls for Martian GCM files.)
262	if axtime in ["ls"]:
263	print "converting to Ls ..."
264	for iii in range(len(time)):
265	time[iii] = sol2ls(time[iii])
266	if iii > 0:
267	while abs(time[iii]-time[iii-1]) > 300: time[iii] = time[iii]+360
268	### (a case where the user would like to set local times. e.g. : 1D plot with no longitude reference)
269	if axtime in ["lt"]:
270	if initime == -1: initime=input("Please type initial local time:")
271	time = (initime+time*24)%24 ; print "LOCAL TIMES.... ", time
272	### (simply ask for subscript)
273	if axtime in ["ind"]:
274	dadim = myplot.getdimfromvar(nc)
275	if len(dadim) == 4: time = np.arange(dadim[-4])
276	elif len(dadim) == 3: time = np.arange(dadim[-3])
277	elif len(dadim) == 2: time = np.arange(dadim[-2])
278
279	### TYPE 2 : MESOSCALE FILES
280	elif typefile in ['meso','geo']:
281	### area not active with mesoscale files
282	area = None
283	### HACK TO GET THE CORRECT LAT/LON FROM MESOSCALE FILES WITH 2D LAT/LON ARRAYS
284	### principle: calculate correct indices then repopulate slon and slat
285	if slon is not None or slat is not None:
286	show_topo_map_user = ((save == 'png') and (typefile == 'meso') and ("HGT" in varinfile) and display)
287	#show_topo_map_user = False
288	if firstfile and show_topo_map_user: iwantawhereplot = nc #show a topo map with a cross on the chosen point
289	else: iwantawhereplot = None #do not show anything, just select indices
290	numlon = 1 ; numlat = 1
291	if slon is not None: numlon = slon.shape[1]
292	if slat is not None: numlat = slat.shape[1]
293	indices = np.ones([numlon,numlat,2]) ; vlon = None ; vlat = None
294	for iii in range(numlon):
295	for jjj in range(numlat):
296	if slon is not None: vlon = slon[0][iii] ### note: slon[:][0] does not work
297	if slat is not None: vlat = slat[0][jjj] ### note: slon[:][0] does not work
298	indices[iii,jjj,:] = myplot.bidimfind(lon2d,lat2d,vlon,vlat,file=iwantawhereplot)
299	lonp,latp = ( lon2d[indices[iii,jjj,0],indices[iii,jjj,1]] , lat2d[indices[iii,jjj,0],indices[iii,jjj,1]] )
300	### possible bug here if several --lat
301	for iii in range(numlon):
302	for jjj in range(numlat):
303	if slon is not None: sslon[0][iii] = indices[iii,0,1] #...this is idx
304	if slat is not None: sslat[0][jjj] = indices[0,jjj,0] #...this is idy
305	lonp,latp = ( lon2d[indices[0,0,0],indices[0,0,1]] , lat2d[indices[0,0,0],indices[0,0,1]] )
306	### we get rid of boundary relaxation zone for plots. important to do that now and not before.
307	if (typefile in ['meso'] and mapmode == 1):
308	if '9999' not in getattr(nc,'START_DATE'): lon2d = myplot.dumpbdy(lon2d,6) ; lat2d = myplot.dumpbdy(lat2d,6)
309	### we read the keyword for vertical dimension. we take care for vertical staggering.
310	if varname in ['PHTOT','W']: vertdim='BOTTOM-TOP_PATCH_END_STAG'
311	else: vertdim='BOTTOM-TOP_PATCH_END_UNSTAG'
312	if (var2 is not None and var2 not in ['PHTOT','W']): dumped_vert_stag=True ; vertdim='BOTTOM-TOP_PATCH_END_UNSTAG'
313	else: dumped_vert_stag=False
314	### we read the keyword for horizontal dimensions. we take care for horizontal staggering.
315	if varname in ['V']: latdim='SOUTH-NORTH_PATCH_END_STAG'
316	else: latdim='SOUTH-NORTH_PATCH_END_UNSTAG'
317	if varname in ['U']: londim='WEST-EAST_PATCH_END_STAG'
318	else: londim='WEST-EAST_PATCH_END_UNSTAG'
319	lon = np.arange(0,getattr(nc,londim),1) ; lat = np.arange(0,getattr(nc,latdim),1)
320	### we define the time axis and take care of various specificities (lt, ls, sol) or issues (concatenation)
321	if axtime in ["ls","sol"]:
322	lstab, soltab, lttab = myplot.getlschar ( namefile, getaxis = True )
323	if axtime == "ls": time = lstab
324	elif axtime == "sol": time = soltab
325	else:
326	if ope in ["cat"] and nnn > 0: count = time[-1] + 1 ## so that a cat is possible with simple subscripts
327	else: count = 0
328	if "Times" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Times"]),1)
329	elif "Time" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Time"]),1)
330	else: time = count + np.arange(0,1,1)
331	if axtime in ["lt"]:
332	ftime = np.zeros(len(time))
333	for i in range(len(time)): ftime[i] = myplot.localtime ( time[i], slon , namefile )
334	time=ftime ; time = myplot.check_localtime(time)
335	print "LOCAL TIMES.... ", time
336	### we define the vertical axis (or lack thereof) and cover possibilities for it to be altitude, pressure, geopotential. quite SPECIFIC.
337	if typefile in ['geo']: vert = [0.] ; stime = myplot.readslices(str(0))
338	else:
339	if vertmode is None: vertmode=0
340	if vertmode == 0:
341	if "vert" in nc.variables: vert = nc.variables["vert"][:]/1000. ; vertmode = 1
342	else: vert = np.arange(0,getattr(nc,vertdim),1)
343	elif vertmode == -1: vert = nc.variables["PHTOT"][0,:,0,0]/3.72 ; vert = np.array(vert[0:len(vert)-1]) #; print vert
344	elif vertmode == 1 or vertmode == 2: vert = nc.variables["vert"][:] ## pressure in Pa
345	else: vert = nc.variables["vert"][:]/1000. ## altitude in km
346	####################################################################
347	############ END of WE LOAD 4D DIMENSIONS : x, y, z, t #############
348	####################################################################
349
350
351	### we fill the arrays of varname, namefile, time, colorbar at the current step considered (NB: why use both k and nnn ?)
352	all_varname[k] = varname
353	all_namefile[k] = namefile
354	all_colorb[k] = clb[vvv]
355
356	##############################################################################
357	##### LARGE FILE. WE'D BETTER NOT FILL THE MEMORY WITH THE STUPID WHOLE ARRAY!
358	if monster:
359	####################################################################
360	## get all indexes to be taken into account for this subplot and then reduce field
361	## 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
362	if ope is not None:
363	if fileref is not None: index_f = (k//(nlonnlatnvertntime))%(3len(namefiles)) ## OK only 1 var, see test in the beginning
364	elif "var" in ope: index_f = (k//(nlonnlatnvert*ntime))%(len(var)+1) ## OK only 1 file, see test in the beginning
365	elif "cat" in ope: index_f = 0
366	elif not (k == 0):
367	#if len(namefiles) > 1 and len(var) == 1 and which == "unidim": pass ## TROUVER UN MOYEN POUR unidim
368	if len(namefiles) > 1 and len(var) == 1: pass
369	else: yeah = len(namefiles)len(var) ; index_f = (k//(nlonnlatnvertntime))%yeah
370	else: yeah = len(namefiles)len(var) ; index_f = (k//(nlonnlatnvertntime))%yeah
371
372	ilon = myplot.getsindex(sslon,k%nlon,lon)
373	ilat = myplot.getsindex(sslat,(k//nlon)%nlat,lat)
374	ivert = myplot.getsindex(svert,(k//(nlon*nlat))%nvert,vert)
375
376	if mrate is not None: itime = None
377	else: itime = myplot.getsindex(stime,(k//(nlonnlatnvert))%ntime,time)
378	ltst = None
379	if typefile in ['meso'] and itime is not None and len(itime) < 2: ltst = myplot.localtime ( itime, slon , all_namefile[index_f] )
380
381	if ilat is not None: print "********** LAT : INDEX",ilat[0], ilat[-1], "VALUE",lat[ilat[0]], lat[ilat[-1]]
382	else: ilat = range(len(lat))
383	if ilon is not None: print "********** LON : INDEX",ilon[0], ilon[-1], "VALUE",lon[ilon[0]], lon[ilon[-1]]
384	else: ilon = range(len(lon))
385	if ivert is not None: print "********** VERT: INDEX",ivert[0], ivert[-1], "VALUE",vert[ivert[0]], vert[ivert[-1]]
386	else: ivert = range(len(vert))
387	if itime is not None: print "********** TIME: INDEX",itime[0], itime[-1], "VALUE",time[itime[0]], time[itime[-1]]
388	else: itime = range(len(time))
389
390	all_var[k] = myplot.getfieldred(nc,all_varname[k],ilon,ilat,ivert,itime)
391	if var2: all_var2[k] = myplot.getfieldred(nc,var2,ilon,ilat,ivert,itime)
392	if winds:
393	all_windu[k] = myplot.getfield(nc,uchar,ilon,ilat,ivert,itime)
394	all_windv[k] = myplot.getfield(nc,vchar,ilon,ilat,ivert,itime)
395	plot_x[k] = None ; plot_y[k] = None
396
397	all_time[k] = time[itime]
398	all_vert[k] = vert[ivert]
399	all_lat[k] = lat[ilat]
400	all_lon[k] = lon[ilon]
401
402	else:
403	## regular stuff: not large array.
404	all_time[k] = time
405	all_vert[k] = vert
406	all_lat[k] = lat
407	all_lon[k] = lon
408	if var2: all_var2[k], plot_x[k], plot_y[k] = myplot.select_getfield(zvarname=var2,znc=nc,ztypefile=typefile,\
409	mode='getvar',ztsat=tsat,ylon=all_lon[k],ylat=all_lat[k],yalt=all_vert[k],ytime=all_time[k],analysis=analysis)
410	if winds: all_windu[k] = myplot.getfield(nc,uchar) ; all_windv[k] = myplot.getfield(nc,vchar)
411	### we fill the arrays of fields to be plotted at the current step considered
412	all_var[k], plot_x[k], plot_y[k] = myplot.select_getfield(zvarname=all_varname[k],znc=nc,ztypefile=typefile,\
413	mode='getvar',ztsat=tsat,ylon=all_lon[k],ylat=all_lat[k],yalt=all_vert[k],ytime=all_time[k],analysis=analysis)
414	####################################################################
415
416	# last line of for namefile in namefiles
417	print "**** GOT SUBDATA:",k," NAMEFILE:",namefile," VAR:",varname, var2 ; k += 1 ; firstfile = False
418
419	### note to self : stopped comment rewriting here.
420
421	##################################
422	### Operation on files (I) with _var
423	if ope is not None and "var" in ope:
424	print "********** OPERATION: ",ope
425	if len(namefiles) > 1: myplot.errormess("for this operation... please set only one file !")
426	if len(var) > 2: myplot.errormess("not sure this works for more than 2 vars... please check.")
427	if "div_var" in ope: all_var[k] = all_var[k-2] / all_var[k-1] ; insert = '_div_'
428	elif "mul_var" in ope: all_var[k] = all_var[k-2] * all_var[k-1] ; insert = '_mul_'
429	elif "add_var" in ope: all_var[k] = all_var[k-2] + all_var[k-1] ; insert = '_add_'
430	elif "sub_var" in ope: all_var[k] = all_var[k-2] - all_var[k-1] ; insert = '_sub_'
431	else: myplot.errormess(ope+" : non-implemented operation. Check pp.py --help")
432	plot_x[k] = None ; plot_y[k] = None
433	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]
434	all_varname[k] = all_varname[k-2] + insert + all_varname[k-1]
435	if len(clb) >= zelen: all_colorb[k] = clb[-1] # last additional user-defined color is for operation plot
436	else: all_colorb[k] = all_colorb[k-1] # if no additional user-defined color... set same as var
437	### only the operation plot. do not mention colorb so that it is user-defined?
438	if "only" in ope:
439	numplot = 1 ; all_var[0] = all_var[k]
440	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]
441	all_varname[0] = all_varname[k-2] + insert + all_varname[k-1]
442
443
444	##################################
445	### Operation on files (II) without _var
446	# we re-iterate on the plots to set operation subplots to make it compatible with multifile (using the same ref file)
447	# (k+1)%3==0 is the index of operation plots
448	# (k+2)%3==0 is the index of reference plots
449	# (k+3)%3==0 is the index of first plots
450	opefirstpass=True
451	if ope is not None and "var" not in ope:
452	print "********** OPERATION: ",ope
453	for k in np.arange(zelen):
454	if len(var) > 1: myplot.errormess("for this operation... please set only one var !")
455	if ope in ["-","+","-%","-_only","+_only","-%_only","-_histo"]:
456	if fileref is None: myplot.errormess("fileref is missing!")
457	else:ncref = Dataset(fileref)
458
459	if opefirstpass: ## first plots
460	for ll in np.arange(len(namefiles)):
461	print "SETTING FIRST PLOT"
462	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]
463	if plot_y[ll] is not None: plot_y[3ll] = plot_y[ll] ; plot_x[3ll] = plot_x[ll]
464	else: plot_y[3ll] = None ; plot_x[3ll] = None
465	opefirstpass=False
466
467	if (k+2)%3==0: ## reference plots
468	print "SETTING REFERENCE PLOT"
469	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]
470	all_var[k], plot_x[k], plot_y[k] = myplot.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)
471	if winds: all_windu[k] = myplot.getfield(ncref,uchar) ; all_windv[k] = myplot.getfield(ncref,vchar)
472
473	if (k+1)%3==0: ## operation plots
474	print "SETTING OPERATION PLOT"
475	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]
476	if ope in ["-","-_only","-_histo"]:
477	all_var[k]= all_var[k-2] - all_var[k-1]
478	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]
479	if plot_y[k-2] is None: plot_y[k] = None; plot_x[k] = None
480	elif ope in ["+","+_only"]:
481	all_var[k]= all_var[k-2] + all_var[k-1]
482	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]
483	if plot_y[k-2] is None: plot_y[k] = None; plot_x[k] = None
484	elif ope in ["-%","-%_only"]:
485	masked = np.ma.masked_where(all_var[k-1] == 0,all_var[k-1])
486	masked.set_fill_value([np.NaN])
487	all_var[k]= 100.*(all_var[k-2] - masked)/masked
488	if plot_y[k-1] is not None and plot_y[k-2] is not None:
489	masked = np.ma.masked_where(plot_y[k-1] == 0,plot_y[k-1])
490	masked.set_fill_value([np.NaN])
491	plot_y[k]= 100.*(plot_y[k-2] - masked)/masked
492	if plot_y[k-2] is None: plot_y[k] = None; plot_x[k] = None
493	if len(clb) >= zelen: all_colorb[k] = clb[-1]
494	else: all_colorb[k] = "RdBu_r" # if no additional user-defined color... set a good default one
495	if winds: all_windu[k] = all_windu[k-2]-all_windu[k-1] ; all_windv[k] = all_windv[k-2] - all_windv[k-1]
496
497	elif ope in ["cat"]:
498	tabtime = all_time[0];tab = all_var[0];k = 1
499	if var2: tab2 = all_var2[0]
500	while k != len(namefiles) and len(all_time[k]) != 0:
501	if var2: tab2 = np.append(tab2,all_var2[k],axis=0)
502	tabtime = np.append(tabtime,all_time[k]) ; tab = np.append(tab,all_var[k],axis=0) ; k += 1
503	all_time[0] = np.array(tabtime) ; all_var[0] = np.array(tab) ; numplot = 1
504	if var2: all_var2[0] = np.array(tab2)
505	else: myplot.errormess(ope+" : non-implemented operation. Check pp.py --help")
506	if "only" in ope:
507	numplot = 1 ; all_var[0] = all_var[k]
508	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]
509	all_varname[0] = all_varname[k]
510
511	##################################
512	### Open a figure and set subplots
513	fig = mpl.pyplot.figure()
514	subv,subh = myplot.definesubplot( numplot, fig, ipreferline = (mapmode == 1) )
515	if ope in ['-','-%','-_histo'] and len(namefiles) ==1 : subv,subh = 2,2
516	elif ope in ['-','-%'] and len(namefiles)>1 : subv, subh = len(namefiles), 3
517
518	#################################
519	### Time loop for plotting device
520	nplot = 1 ; error = False ; firstpass = True
521	if lstyle is not None: linecycler = itertools.cycle(lstyle)
522	else: linecycler = itertools.cycle(["-","--","-.",":"])
523	print "********************************************"
524	while error is False:
525
526	print "********** PLOT", nplot, " OF ",numplot
527	if nplot > numplot: break
528
529	####################################################################
530	## get all indexes to be taken into account for this subplot and then reduce field
531	## 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
532	if ope is not None:
533	if fileref is not None: index_f = ((nplot-1)//(nlonnlatnvertntime))%(3len(namefiles)) ## OK only 1 var, see test in the beginning
534	elif "var" in ope: index_f = ((nplot-1)//(nlonnlatnvert*ntime))%(len(var)+1) ## OK only 1 file, see test in the beginning
535	elif "cat" in ope: index_f = 0
536	elif not firstpass:
537	if len(namefiles) > 1 and len(var) == 1 and which == "unidim": pass
538	else: yeah = len(namefiles)len(var) ; index_f = ((nplot-1)//(nlonnlatnvertntime))%yeah
539	else: yeah = len(namefiles)len(var) ; index_f = ((nplot-1)//(nlonnlatnvertntime))%yeah
540	time = all_time[index_f] ; vert = all_vert[index_f] ; lat = all_lat[index_f] ; lon = all_lon[index_f]
541	indexlon = myplot.getsindex(sslon,(nplot-1)%nlon,lon)
542	indexlat = myplot.getsindex(sslat,((nplot-1)//nlon)%nlat,lat)
543	indexvert = myplot.getsindex(svert,((nplot-1)//(nlon*nlat))%nvert,vert)
544	plotx=plot_x[index_f] ; ploty=plot_y[index_f]
545	if mrate is not None: indextime = None
546	else: indextime = myplot.getsindex(stime,((nplot-1)//(nlonnlatnvert))%ntime,time)
547	ltst = None
548	if typefile in ['meso'] and indextime is not None and len(indextime) < 2: ltst = myplot.localtime ( indextime, slon , all_namefile[index_f] )
549
550	if not monster:
551	if indexlat is not None: print "********** LAT : INDEX",indexlat[0], indexlat[-1], "VALUE",lat[indexlat[0]], lat[indexlat[-1]]
552	if indexlon is not None: print "********** LON : INDEX",indexlon[0], indexlon[-1], "VALUE",lon[indexlon[0]], lon[indexlon[-1]]
553	if indexvert is not None: print "********** VERT: INDEX",indexvert[0], indexvert[-1], "VALUE",vert[indexvert[0]], vert[indexvert[-1]]
554	if indextime is not None: print "********** TIME: INDEX",indextime[0], indextime[-1], "VALUE",time[indextime[0]], time[indextime[-1]]
555
556	##var = nc.variables["phisinit"][:,:]
557	##contourf(np.transpose(var),30,cmap = get_cmap(name="Greys_r") ) ; mpl.pyplot.axis('off') ; plot(indexlat,indexlon,'mx',mew=4.0,ms=20.0)
558	##mpl.pyplot.show()
559	##exit()
560	#truc = True
561	#truc = False
562	#if truc: indexvert = None
563	####################################################################
564	########## REDUCE FIELDS
565	####################################################################
566	error = False
567	varname = all_varname[index_f]
568	which=''
569	if varname: ### what is shaded.
570	what_I_plot, error = myplot.reducefield( all_var[index_f], d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \
571	yint=yintegral, alt=vert, anomaly=anomaly, redope=redope, mesharea=area, unidim=is1d)
572	if add != 0.: what_I_plot = what_I_plot + add
573	if mult != 2718.: what_I_plot = what_I_plot*mult
574	else: what_I_plot = np.log10(what_I_plot) ; print "log plot"
575
576	if var2: ### what is contoured.
577	what_I_plot_contour, error = myplot.reducefield( all_var2[index_f], d4=indextime, d1=indexlon, d2=indexlat , d3=indexvert, \
578	yint=yintegral, alt=vert, redope=redope )
579	if winds: ### what is plot as vectors.
580	vecx, error = myplot.reducefield( all_windu[index_f], d4=indextime, d3=indexvert, yint=yintegral, alt=vert)
581	vecy, error = myplot.reducefield( all_windv[index_f], d4=indextime, d3=indexvert, yint=yintegral, alt=vert)
582	if varname in [uchar,vchar]: what_I_plot = np.sqrt( np.square(vecx) + np.square(vecy) ) ; varname = "wind"
583
584	if plotx is not None:
585	plotx, error = myplot.reducefield( plotx, d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \
586	yint=yintegral, alt=vert, anomaly=anomaly, redope=redope, mesharea=area, unidim=is1d)
587	ploty, error = myplot.reducefield( ploty, d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \
588	yint=yintegral, alt=vert, anomaly=anomaly, redope=redope, mesharea=area, unidim=is1d)
589	which='xy'
590	#####################################################################
591	#if truc:
592	# nx = what_I_plot.shape[2] ; ny = what_I_plot.shape[1] ; nz = what_I_plot.shape[0]
593	# for k in range(nz): print k,' over ',nz ; what_I_plot[k,:,:] = what_I_plot[k,:,:] / myplot.smooth(what_I_plot[k,:,:],12)
594	# for iii in range(nx):
595	# for jjj in range(ny):
596	# deviation = what_I_plot[:,jjj,iii] ; mx = max(deviation) ; mn = min(deviation)
597	# 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
598	# else: what_I_plot[0,jjj,iii] = 0.
599	# if np.abs(what_I_plot[0,jjj,iii]) > 1.5:
600	# print iii,jjj,what_I_plot[0,jjj,iii],int(abs(1.-mx)100.),int(abs(1.-mn)100.)
601	# mpl.pyplot.plot(rel)
602	# mpl.pyplot.show()
603	# anomaly = True ### pour avoir les bons reglages plots
604	# what_I_plot = what_I_plot[0,:,:]
605	#####################################################################
606
607	####################################################################
608	### General plot settings
609	changesubplot = (numplot > 1) and (len(what_I_plot.shape) != 1) and (which != "xy") ## default for 1D plots: superimposed. to be reworked for better flexibility.
610	if changesubplot: mpl.pyplot.subplot(subv,subh,nplot) #; mpl.pyplot.subplots_adjust(wspace=0,hspace=0)
611	colorb = all_colorb[index_f]
612	####################################################################
613	if error:
614	myplot.errormess("There is an error in reducing field !")
615	else:
616	ticks = ndiv + 1
617	fvar = varname
618	if anomaly: fvar = 'anomaly'
619	###
620	if mapmode == 0: ### could this be moved inside imov loop ?
621	itime=indextime
622	if len(what_I_plot.shape) == 3: itime=[0]
623	m = None ; x = None ; y = None
624	latyeah = lat ; lonyeah = lon
625	if typefile in ['meso']:
626	# now that the section is determined we can set the real lat
627	# ... or for now, a temptative one.
628	milieux = int(lat2d.shape[1]/2.)
629	milieuy = int(lat2d.shape[0]/2.)
630	if slon is not None or proj == "noproj": latyeah = lat2d[:,milieux]
631	if slat is not None or proj == "noproj": lonyeah = lon2d[milieuy,:]
632	what_I_plot, x, y = myplot.define_axis(lonyeah,latyeah,vert,time,indexlon,indexlat,indexvert,\
633	itime,what_I_plot, len(all_var[index_f].shape),vertmode,redope)
634	###
635	if analysis in ['laplace']: what_I_plot = laplace(what_I_plot)
636	###
637	if (fileref is not None) and ((index_f+1)%3 == 0): zevmin, zevmax = myplot.calculate_bounds(what_I_plot,vmin=minop,vmax=maxop)
638	else: zevmin, zevmax = myplot.calculate_bounds(what_I_plot,vmin=vmin,vmax=vmax)
639	#if (fileref is not None) and (index_f == numplot-1): colorb = "RdBu_r"
640	if colorb in ["def","nobar","onebar"]: palette = mpl.cm.get_cmap(name=myplot.defcolorb(fvar.upper()))
641	elif colorb == "relief": palette = cm.GMT_relief
642	elif colorb == "haxby": palette = cm.GMT_haxby
643	else: palette = mpl.cm.get_cmap(name=colorb)
644	#palette = cm.GMT_split
645	#palette = cm.GMT_globe
646	##### 1. ELIMINATE 0D or >3D CASES
647	if len(what_I_plot.shape) == 0:
648	print "VALUE VALUE VALUE VALUE ::: ",what_I_plot
649	save = 'donothing'
650	elif len(what_I_plot.shape) >= 4:
651	print "WARNING!!! ",len(what_I_plot.shape),"-D PLOT NOT SUPPORTED !!! dimensions: ",what_I_plot.shape
652	myplot.errormess("Are you sure you did not forget to prescribe a dimension ?")
653	##### 2. HANDLE simple 1D/2D field and movies of 1D/2D fields
654	else:
655	if mrate is not None: iend=len(time)-1
656	else: iend=0
657	imov = 0
658	if analysis in ['density','histo','fft','histodensity']: which="xy"
659	elif len(what_I_plot.shape) == 3:
660	if var2 and which == '': which = "contour" ## have to start with contours rather than shading
661	elif which == '': which = "regular"
662	if mrate is None: myplot.errormess("3D field. Use --rate RATE for movie or specify --time TIME. Exit.")
663	elif len(what_I_plot.shape) == 2:
664	if var2 and which == '': which = "contour" ## have to start with contours rather than shading
665	elif which == '': which = "regular"
666	if mrate is not None and which == '': which = "unidim"
667	elif len(what_I_plot.shape) == 1 and which == '' :
668	which = "unidim"
669	if what_I_plot.shape[-1] == 1: print "VALUE VALUE VALUE VALUE ::: ", what_I_plot[0] ; save = 'donothing'
670	## if which == "unidim" and len(namefiles) > 1: numplot = 1 # this case is similar to several vars from one file
671	##### IMOV LOOP #### IMOV LOOP
672	while imov <= iend:
673	print "-> frame ",imov+1, which
674	if which == "regular":
675	if mrate is None: what_I_plot_frame = what_I_plot
676	else: what_I_plot_frame = what_I_plot[imov,:,:]
677	if winds:
678	if mrate is None: vecx_frame = vecx ; vecy_frame = vecy
679	else: vecx_frame = vecx[imov,:,:] ; vecy_frame = vecy[imov,:,:]
680	elif which == "contour":
681	if mrate is None or what_I_plot_contour.ndim < 3: what_I_plot_frame = what_I_plot_contour
682	else: what_I_plot_frame = what_I_plot_contour[imov,:,:]
683	elif which == "unidim":
684	if mrate is None: what_I_plot_frame = what_I_plot
685	else: what_I_plot_frame = what_I_plot[:,imov] ## because swapaxes
686	#if mrate is not None:
687	if mapmode == 1:
688	m = myplot.define_proj(proj,wlon,wlat,back=back,blat=blat,blon=blon) ## this is dirty, defined above but out of imov loop
689	x, y = m(lon2d, lat2d) ## this is dirty, defined above but out of imov loop
690	if (typefile in ['meso'] and mapmode == 1):
691	if '9999' not in getattr(nc,'START_DATE'): what_I_plot_frame = myplot.dumpbdy(what_I_plot_frame,6,condition=True)
692	# if typefile in ['mesoideal']: what_I_plot_frame = myplot.dumpbdy(what_I_plot_frame,0,stag='W',condition=dumped_vert_stag)
693
694	if which == "unidim":
695	if lbls is not None: lbl=lbls[nplot-1]
696	# if lbls is not None: lbl=lbls[index_f]
697	else:
698	lbl = ""
699	if indexlat is not None: lbl = lbl + " ix" + str(indexlat[0])
700	if indexlon is not None: lbl = lbl + " iy" + str(indexlon[0])
701	if indexvert is not None: lbl = lbl + " iz" + str(indexvert[0])
702	if indextime is not None: lbl = lbl + " it" + str(indextime[0])
703	if lbl == "": lbl = all_namefile[index_f]
704
705	if mrate is not None: x = y ## because swapaxes...
706	#what_I_plot_frame = np.diff(what_I_plot_frame, n=1) ; x = x[1:]
707
708	zeline = next(linecycler) ## "-" for simple lines
709	if tile: zemarker = 'x'
710	else: zemarker = None
711	this_is_a_regular_plot = (indexvert is not None) or (indextime is None) or (indexlat is None) or (indexlon is None)
712	if this_is_a_regular_plot: mpl.pyplot.plot(x,what_I_plot_frame,zeline,label=lbl,marker=zemarker) ## vertical profile
713	else: mpl.pyplot.plot(what_I_plot_frame,x,zeline,label=lbl,marker=zemarker) ## regular plot
714	mpl.pyplot.grid(True)
715	if nplot > 1: mpl.pyplot.legend(loc='best')
716	if indextime is None and axtime is not None and xlab is None: mpl.pyplot.xlabel(axtime.upper()) ## define the right label
717	if save == 'txt': writeascii(np.transpose([x,np.transpose(what_I_plot)]),'profile'+str(nplot*1000+imov)+'.txt')
718	if axtime == "lt" and indextime is None:
719	ax = mpl.pyplot.gca()
720	# set ticks where your images will be
721	ax.get_xaxis().set_ticks(np.arange(0,48,2))
722	# rename tick labels
723	ax.get_xaxis().set_ticklabels(["0","2","4","6","8","10","12","14","16","18","20","22",\
724	"0","2","4","6","8","10","12","14","16","18","20","22"])
725	## rebound everyone
726	ax.set_xbound(lower=min(x), upper=max(x))
727	elif which == "xy":
728	if lbls is not None: lbl=lbls[index_f]
729	else: lbl=None
730	if analysis is not None:
731	if analysis == 'histo':
732	if zelen == 1:
733	mpl.pyplot.hist(ploty.flatten(),bins=ndiv,normed=True, alpha=0.67, facecolor = 'green', label = lbls)
734	mpl.pyplot.legend()
735	mpl.pyplot.grid(True)
736	mpl.pyplot.title(zetitle)
737	else:
738	multiplot[index_f]=ploty.flatten()
739	if index_f == zelen-1:
740	if ope is not None: multiplot = getVar(multiplot,3*np.arange((index_f+1)/3)+2) ## we only compute histograms for the operation plots
741	mpl.pyplot.hist(multiplot,bins=ndiv,normed=True, alpha=0.75, label = lbls)
742	mpl.pyplot.legend()
743	mpl.pyplot.grid(True)
744	mpl.pyplot.title(zetitle)
745	elif analysis in ['density','histodensity']:
746	if ope is not None and (index_f+1)%3 !=0: pass
747	else:
748	plotx = np.linspace(min(ploty.flatten()),max(ploty.flatten()),1000)
749	density = scipy.stats.gaussian_kde(ploty.flatten())
750	# density.covariance_factor = lambda : .25 # adjust the covariance factor to change the bandwidth if needed
751	# density._compute_covariance()
752	# display the mean and variance of the kde:
753	sample = density.resample(size=20000)
754	n, (smin, smax), sm, sv, ss, sk = scipy.stats.describe(sample[0])
755	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])
756	if analysis == 'histodensity': # plot both histo and density (to assess the rightness of the kernel density estimate for exemple) and display the estimated variance
757	mpl.pyplot.hist(ploty.flatten(),bins=ndiv,normed=True, alpha=0.30, label = lbl)
758	if index_f == zelen-1: mpl.pyplot.legend() ; mpl.pyplot.title(zetitle)
759	else:
760	mpl.pyplot.plot(plotx,ploty,label = lbl)
761	if index_f == zelen-1: mpl.pyplot.legend() ; mpl.pyplot.title(zetitle)
762	mpl.pyplot.grid(True)
763	else:
764	mpl.pyplot.plot(plotx,ploty,label = lbl)
765	if index_f == zelen-1: mpl.pyplot.legend() ; mpl.pyplot.title(zetitle)
766	if varname == 'hodograph':
767	a=0
768	for ii in np.arange(len(time)):
769	if a%6 == 0: mpl.pyplot.text(plotx[ii],ploty[ii],time[ii])
770	a=a+1
771	mpl.pyplot.grid(True)
772
773	elif which == "regular":
774
775	# plot stream lines if there is a stream file and a vert/lat slice. Might not work with movies ??
776	if streamflag and sslat is None and svert is None:
777	streamfile = all_namefile[index_f].replace('.nc','_stream.nc')
778	teststream = os.path.exists(streamfile)
779	if teststream:
780	print 'INFO: Using stream file',streamfile, 'for stream lines'
781	ncstream = Dataset(streamfile)
782	psi = myplot.getfield(ncstream,'psi')
783	psi = psi[0,:,:,0] # time and longitude are dummy dimensions
784	if psi.shape[1] != len(x) or psi.shape[0] != len(y):
785	myplot.errormess('stream file does not fit! Dimensions: '+str(psi.shape)+' '+str(x.shape)+' '+str(y.shape))
786	zelevels = np.arange(-1.e10,1.e10,1.e9)
787	zemin = np.min(abs(zelevels))
788	zemax = np.max(abs(zelevels))
789	zewidth = (abs(zelevels)-zemin)*(5.- 0.5)/(zemax - zemin) + 0.5 # linewidth ranges from 5 to 0.5
790	cs = mpl.pyplot.contour( x,y,psi, zelevels, colors='k', linewidths = zewidth)
791	mpl.pyplot.clabel(cs, inline=True, fontsize = 4.*mpl.pyplot.rcParams['font.size']/5., fmt="%1.1e")
792	else:
793	print 'WARNING: STREAM FILE',streamfile, 'DOES NOT EXIST !'
794
795	if hole: what_I_plot_frame = myplot.hole_bounds(what_I_plot_frame,zevmin,zevmax)
796	else: what_I_plot_frame = myplot.bounds(what_I_plot_frame,zevmin,zevmax)
797	if flagnolow: what_I_plot_frame = myplot.nolow(what_I_plot_frame)
798	if not tile:
799	#zelevels = np.linspace(zevmin(1. + 1.e-7),zevmax(1. - 1.e-7)) #,num=20)
800	zelevels = np.linspace(zevmin,zevmax,num=ticks)
801	#what_I_plot_frame = myplot.smooth(what_I_plot_frame,100)
802	if mapmode == 1: m.contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans)
803	elif mapmode == 0: mpl.pyplot.contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans)
804	else:
805	if mapmode == 1: m.pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans)
806	elif mapmode == 0: mpl.pyplot.pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans)
807
808	if (cross is not None or markdevil) and mapmode == 1:
809	if cross is not None:
810	howmuch = np.array(cross).shape[0]
811	for ttt in range(howmuch):
812	idx,idy=m(cross[ttt][0],cross[ttt][1])
813	mpl.pyplot.plot([idx],[idy],'+k',mew=0.5,ms=18)
814	elif markdevil:
815	idx,idy=myplot.find_devil(nc,indextime)
816	idx,idy=x[idx,idy],y[idx,idy]
817	mpl.pyplot.plot([idx],[idy],'+k',mew=0.5,ms=18)
818
819	if not nocolorb:
820	if colorb not in ['nobar','onebar']:
821	if (fileref is not None) and ((index_f+1)%3 == 0): daformat = "%.3f"
822	elif mult != 1: daformat = "%.1f"
823	else: daformat = myplot.fmtvar(fvar.upper())
824	if proj in ['moll']: zeorientation="horizontal" ; zepad = 0.07 ; zefrac = 0.1 #zepad=0.05
825	elif proj in ['cyl']: zeorientation="vertical" ; zepad = 0.03 ; zefrac = 0.023
826	else: zeorientation="vertical" ; zepad = 0.03 ; zefrac = 0.05
827	if mapmode == 0: zefrac = 0.1
828	zecb = mpl.pyplot.colorbar( fraction=zefrac,pad=zepad,format=daformat,orientation=zeorientation,\
829	ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional' )
830	#if zeorientation == "horizontal":
831	# daticks = zecb.ax.get_xticks()
832	# zecb.ax.set_xticklabels(daticks,rotation='vertical')
833	if zeorientation == "horizontal" and zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]=""
834	if winds:
835	if typefile in ['meso']:
836	if '9999' not in getattr(nc,'START_DATE') : [vecx_frame,vecy_frame] = [myplot.dumpbdy(vecx_frame,6,stag=uchar,condition=True), myplot.dumpbdy(vecy_frame,6,stag=vchar,condition=True)]
837	key = True
838	if fvar in ['UV','uv','uvmet']: key = False
839	elif typefile in ['gcm']:
840	key = False
841	if metwind and mapmode == 1: [vecx_frame,vecy_frame] = m.rotate_vector(vecx_frame, vecy_frame, lon2d, lat2d)
842	if trans != 0.0: colorvec = myplot.definecolorvec(colorb)
843	else: colorvec = myplot.definecolorvec(back)
844	myplot.vectorfield(vecx_frame, vecy_frame, x, y, stride=stride, csmooth=2,\
845	#scale=15., factor=300., color=colorvec, key=key)
846	scale=20., factor=250./facwind, color=colorvec, key=key)
847	#200. ## or csmooth=stride
848	### THIS IS A QUITE SPECIFIC PIECE (does not work for mesoscale files)
849	if ope == '-_histo' and nplot == numplot: # this should work as long as ope is '-' guarantees 3 plots for 4 panels without contour
850	mpl.pyplot.subplot(subv,subh,nplot+1)
851	mpl.pyplot.rcParams["legend.fontsize"] = 'xx-large'
852	if indexlat is None:
853	latmin = -50.; latmax = 50. # latitude range for histogram of difference
854	zeindexlat = (lat<latmax)*(lat>latmin)
855	if typefile in ['meso']: zeindexlat = 10
856	# this follows the define_axis logic in myplot.py:
857	if indextime is None or indexlon is None: what_I_plot_frame = what_I_plot_frame[zeindexlat,:]
858	else: what_I_plot_frame = what_I_plot_frame[:,zeindexlat]
859	toplot = np.ravel(what_I_plot_frame[np.isnan(what_I_plot_frame)==False])
860	zebins = np.linspace(zevmin,zevmax,num=30)
861	mpl.pyplot.hist(toplot,bins=zebins,histtype='step',linewidth=2,color='k',normed=True)
862	zestd = np.std(toplot);zemean = np.mean(toplot)
863	zebins = np.linspace(zevmin,zevmax,num=300)
864	zegauss = (1./(zestd * np.sqrt(2 * np.pi)) * np.exp( - (zebins - zemean)*2 / (2 zestd**2) ) )
865	mpl.pyplot.plot(zebins, zegauss, linewidth=1, color='r',label="mean: "+str(zemean)[0:5]+"\nstd: "+str(zestd)[0:5])
866	mpl.pyplot.legend(loc=0,frameon=False)
867	mpl.pyplot.subplot(subv,subh,nplot) # go back to last plot for title of contour difference
868	if ope is not None and "only" not in ope: title("fig(1) "+ope+" fig(2)")
869	elif ope is not None and "only" in ope: title("fig(1) "+ope[0]+" fig(2)")
870
871	elif which == "contour":
872	mpl.pyplot.rcParams['contour.negative_linestyle'] = 'solid' # no dashed line for negative values
873	zevminc, zevmaxc = myplot.calculate_bounds(what_I_plot_frame, vmin=min(what_I_plot_frame), vmax=max(what_I_plot_frame))
874	zelevels = np.linspace(zevminc,zevmaxc,ticks/2) #20)
875	### another dirty specific stuff in the wall
876	if var2 == 'HGT': zelevels = np.arange(-10000.,30000.,250.) #1000.)
877	elif var2 == 'tpot': zelevels = np.arange(270,370,5)
878	elif var2 in ['tk','temp']: zelevels = np.arange(0.,1000.,5.)#(150,250,5)
879	elif var2 == 'wstar': zelevels = np.arange(0,10,1.0)
880	elif var2 == 'zmax_th': zelevels = np.arange(0,10,2.0) ; what_I_plot_frame = what_I_plot_frame / 1000.
881	elif var2 in ['u']: zelevels = np.arange(-400.,400.,10.)
882	###
883	if mapmode == 0:
884	what_I_plot_frame, x, y = myplot.define_axis( lonyeah,latyeah,vert,time,indexlon,indexlat,indexvert,\
885	itime,what_I_plot_frame, len(all_var2[index_f].shape),vertmode,redope)
886	## is this needed? only if len(all_var2[index_f].shape) != len(all_var[index_f].shape)
887	cs = mpl.pyplot.contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33)#, alpha=0.5, linestyles='solid')
888	##cs = mpl.pyplot.contour( x,y,what_I_plot_frame, zelevels, colors='w', linewidths = 0.5)#, alpha=0.5, linestyles='solid')
889	#mpl.pyplot.clabel(cs, inline=1, fontsize = 4.*rcParams['font.size']/5., fmt=fmtvar(var2.upper()))
890	elif mapmode == 1:
891	cs = m.contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33)#, alpha=0.5, linestyles='solid')
892	#mpl.pyplot.clabel(cs, inline=0, fontsize = mpl.pyplot.rcParams['font.size'], fmt="%.0f") #myplot.fmtvar(var2.upper()))
893	if which in ["regular","unidim","xy"]:
894
895	if nplot > 1 and which in ["unidim","xy"]:
896	pass ## because we superimpose nplot instances
897	else:
898	# Axis directives for movie frames [including the first one).
899	zxmin, zxmax = xaxis ; zymin, zymax = yaxis
900	if zxmin is not None: mpl.pyplot.xlim(xmin=zxmin)
901	if zxmax is not None: mpl.pyplot.xlim(xmax=zxmax)
902	if zymin is not None: mpl.pyplot.ylim(ymin=zymin)
903	if zymax is not None: mpl.pyplot.ylim(ymax=zymax)
904	if ylog and not xlog: mpl.pyplot.semilogy()
905	if xlog and not ylog: mpl.pyplot.semilogx()
906	if xlog and ylog:
907	mpl.pyplot.xscale('log')
908	mpl.pyplot.yscale('log')
909	if invert_y: ax = mpl.pyplot.gca() ; ax.set_ylim(ax.get_ylim()[::-1])
910	if xlab is not None: mpl.pyplot.xlabel(xlab)
911	if ylab is not None: mpl.pyplot.ylabel(ylab)
912
913	if mrate is not None:
914	### THIS IS A MENCODER MOVIE
915	if mrate > 0:
916	figframe=mpl.pyplot.gcf()
917	if mquality: figframe.set_dpi(600.)
918	else: figframe.set_dpi(200.)
919	mframe=fig2img(figframe)
920	if imov == 0:
921	moviename='movie' ;W,H = figframe.canvas.get_width_height()
922	video = VideoSink((H,W), moviename, rate=mrate, byteorder="rgba")
923	video.run(mframe) ; mpl.pyplot.close()
924	if imov == iend: video.close()
925	### THIS IS A WEBPAGE MOVIE
926	else:
927	nameframe = "image"+str(1000+imov)
928	myplot.makeplotres(nameframe,res=100.,disp=False) ; mpl.pyplot.close()
929	if imov == 0: myfile = open("zepics", 'w')
930	myfile.write("modImages["+str(imov)+"] = '"+nameframe+"_100.png';"+ '\n')
931	if imov == iend:
932	myfile.write("first_image = 0;"+ '\n')
933	myfile.write("last_image = "+str(iend)+";"+ '\n')
934	myfile.close()
935	if var2 and which == "regular": which = "contour"
936	imov = imov+1
937	elif which == "contour":
938	which = "regular"
939
940	### Next subplot
941	zevarname = varname
942	if redope is not None: zevarname = zevarname + "_" + redope
943	basename = myplot.getname(var=zevarname,var2=var2,winds=winds,anomaly=anomaly)
944	if len(what_I_plot.shape) > 3:
945	basename = basename + myplot.getstralt(nc,level)
946	if mrate is not None: basename = "movie_" + basename
947	if typefile in ['meso']:
948	if sslon is not None: basename = basename + "_lon_" + str(int(round(lonp)))
949	if sslat is not None: basename = basename + "_lat_" + str(int(round(latp)))
950	plottitle = basename
951	### dans le nouveau systeme time=ls,sol,lt cette ligne pourrait ne servir a rien (ou deplacer au dessus)
952	if addchar and indextime is not None: [addchar,gogol,gogol2] = myplot.getlschar ( all_namefile[index_f] ) ; plottitle = plottitle + addchar
953	### en fait redope is None doit etre remplace par : n'est ni maxt ni mint
954	if redope is None and ltst is not None and ( (mapmode == 0) or (proj in ["lcc","laea","merc","nsper"]) ): plottitle = plottitle + "_LT" + str(ltst)
955	else:
956	if fileref is not None:
957	if (index_f+1)%3 == 0: plottitle = basename+' '+"fig(1) "+ope+" fig(2)"
958	elif (index_f+2)%3 == 0: plottitle = basename+' '+fileref
959	else: plottitle = basename+' '+all_namefile[index_f]
960	else: plottitle = basename+' '+all_namefile[index_f]
961	if mult != 1: plottitle = '{:.0e}'.format(mult) + "*" + plottitle
962	if zetitle[0] != "fill":
963	if index_f < len(zetitle): plottitle = zetitle[index_f]
964	else: plottitle = zetitle[0]
965	if titleref is "fill": titleref=zetitle[index_f]
966	if fileref is not None and which != "xy":
967	if (index_f+2)%3 == 0: plottitle = titleref
968	if (index_f+1)%3 == 0: plottitle = "fig(1) "+ope+" fig(2)"
969	# if indexlon is not None: plottitle = plottitle + " lon: " + str(min(lon[indexlon])) +" "+ str(max(lon[indexlon]))
970	# if indexlat is not None: plottitle = plottitle + " lat: " + str(min(lat[indexlat])) +" "+ str(max(lat[indexlat]))
971	# if indexvert is not None: plottitle = plottitle + " vert: " + str(min(vert[indexvert])) +" "+ str(max(vert[indexvert]))
972	# if indextime is not None: plottitle = plottitle + " time: " + str(min(time[indextime])) +" "+ str(max(time[indextime]))
973	if colorb != "onebar": mpl.pyplot.title( plottitle )
974	if nplot >= numplot: error = True
975	nplot += 1
976
977	if len(namefiles) > 1 and len(var) == 1 and which == "unidim": index_f=index_f+1
978	firstpass=False
979
980	if colorb == "onebar":
981	cax = mpl.pyplot.axes([0.1, 0.2, 0.8, 0.03]) # a ameliorer
982	zecb = mpl.pyplot.colorbar(cax=cax, orientation="horizontal", format=myplot.fmtvar(fvar.upper()),\
983	ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional')
984	if zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]=""
985
986
987	##########################################################################
988	### Save the figure in a file in the data folder or an user-defined folder
989	if outputname is None:
990	if typefile in ['meso']: prefix = myplot.getprefix(nc)
991	elif typefile in ['gcm']: prefix = 'LMD_GCM_'
992	else: prefix = ''
993	###
994	zeplot = prefix + basename
995	if zoom: zeplot = zeplot + "zoom"+str(abs(zoom))
996	if addchar: zeplot = zeplot + addchar
997	if numplot <= 0: zeplot = zeplot + "_LT"+str(abs(numplot))
998	###
999	if not target: zeplot = namefile[0:find(namefile,'wrfout')] + zeplot
1000	else: zeplot = target + "/" + zeplot
1001	###
1002	else:
1003	zeplot=outputname
1004
1005	if mrate is None:
1006	pad_inches_value = 0.35
1007	if wlon[1]-wlon[0] < 2.: pad_inches_value = 0.5 # LOCAL MODE (small values)
1008	print "********** SAVE ", save
1009	if save == 'png':
1010	if display: myplot.makeplotres(zeplot,res=100.,pad_inches_value=pad_inches_value) #,erase=True) ## a miniature
1011	myplot.makeplotres(zeplot,res=resolution,pad_inches_value=pad_inches_value,disp=False)
1012	elif save in ['eps','svg','pdf']: myplot.makeplotres(zeplot,pad_inches_value=pad_inches_value,disp=False,ext=save)
1013	elif save == 'gui': mpl.pyplot.show()
1014	elif save == 'donothing': pass
1015	elif save == 'txt': print "Saved results in txt file."
1016	else:
1017	print "INFO: save mode not supported. using gui instead."
1018	mpl.pyplot.show()
1019
1020	###################################
1021	#### Getting more out of this video -- PROBLEMS WITH CREATED VIDEOS
1022	#
1023	if mrate is not None and save != "html":
1024	print "Re-encoding movie.. first pass"
1025	video.first_pass(filename=zeplot,quality=mquality,rate=mrate)
1026	# print "Re-encoding movie.. second pass"
1027	# video.second_pass(filename=moviename,quality=mquality,rate=mrate)
1028
1029	###############
1030	### Now the end
1031	return zeplot

Note: See TracBrowser for help on using the repository browser.

Download in other formats: