####################### ##### PLANETOPLOT ##### ####################### ### A. Spiga -- LMD -- 06~09/2011 -- General building and mapping capabilities ### T. Navarro -- LMD -- 10~11/2011 -- Improved use for GCM and added sections + 1Dplot capabilities ### A. Colaitis -- LMD -- 11/2011 -- Mostly minor improvements and inter-plot operation capabilities + zrecast interpolation for gcm ### A. Spiga -- LMD -- 11~12/2011 -- Extended multivar subplot capabilities + cosmetic changes + general cleaning and tests ### A. Colaitis -- LMD -- 12/2011 -- Added movie capability [mencoder must be installed] ### A. Spiga -- LMD -- 12/2011 -- Added HTML animated page capability + general tests of consistency [winds, etc...] + consistent generic movie loop ### J. Leconte -- LMD -- 02/2012 -- Added area weighted averaging. Compatibility with terrestrial gcm. ### A. Spiga -- LMD -- 03/2012 -- Cleaning and improved comments def planetoplot (namefiles,\ level=0,\ vertmode=0,\ proj=None,\ back=None,\ target=None, stride=3,\ var=None,\ colorb="def",\ winds=False,\ addchar=None,\ interv=[0,1],\ vmin=None,\ vmax=None,\ tile=False,\ zoom=None,\ display=True,\ hole=False,\ save="gui",\ anomaly=False,\ var2=None,\ ndiv=10,\ mult=1.,\ zetitle=["fill"],\ slon=None,\ slat=None,\ svert=None,\ stime=None,\ outputname=None,\ resolution=200,\ ope=None,\ fileref=None,\ minop=0.,\ maxop=0.,\ titleref="fill",\ invert_y=False,\ xaxis=[None,None],\ yaxis=[None,None],\ ylog=False,\ yintegral=False,\ blat=None,\ blon=None,\ tsat=False,\ flagnolow=False,\ mrate=None,\ mquality=False,\ trans=1,\ zarea=None,\ axtime=None,\ redope=None,\ seevar=False,\ xlab=None,\ ylab=None,\ lbls=None,\ lstyle=None,\ cross=None,\ streamflag=False): #################################################################################################################### ### Colorbars http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps?action=AttachFile&do=get&target=colormaps3.png ################################# ### Load librairies and functions from netCDF4 import Dataset from myplot import getcoord2d,define_proj,makeplotres,simplinterv,vectorfield,ptitle,latinterv,getproj,wrfinterv,dumpbdy,\ fmtvar,definecolorvec,defcolorb,getprefix,putpoints,calculate_bounds,errormess,definesubplot,\ zoomset,getcoorddef,getwinddef,whatkindfile,reducefield,bounds,getstralt,getfield,smooth,nolow,\ getname,localtime,check_localtime,polarinterv,getsindex,define_axis,determineplot,readslices,bidimfind,getlschar,hole_bounds,\ windamplitude,slopeamplitude,deltat0t1 from mymath import deg,max,min,mean,get_tsat,writeascii,fig2data,fig2img import matplotlib as mpl from matplotlib.pyplot import contour,contourf,hist, text,subplot, figure, rcParams, savefig, colorbar, pcolor, show, plot, clabel, title, close, legend, xlabel, axis, ylabel, subplots_adjust, axes, clabel from matplotlib.cm import get_cmap #from mpl_toolkits.basemap import cm import numpy as np from numpy.core.defchararray import find from videosink import VideoSink from times import sol2ls import subprocess #from singlet import singlet from itertools import cycle import os ######################### ### PRELIMINARY STUFF ### ######################### ### we say hello print "********************************************" print "********** WELCOME TO PLANETOPLOT **********" print "********************************************" ### we ensure namefiles and var are arrays if not isinstance(namefiles, np.ndarray): namefiles = [namefiles] if not isinstance(var, np.ndarray): var = [var] ### we initialize a few variables initime=-1 ; sslon = None ; sslat = None if slon is not None: sslon = np.zeros([1,2]) if slat is not None: sslat = np.zeros([1,2]) k = 0 ; firstfile = True ; count = 0 ### we avoid specific cases not yet implemented if mrate is not None and len(var) > 1: errormess("multivar not allowed in movies. should be fixed soon!") ### we prepare number of plot fields [zelen] and plot instances [numplot] according to user choices ### --> we support multifile and multivar plots : files + vars separated by commas are on the same figure nlon, nlat, nvert, ntime, mapmode, nslices = determineplot(slon, slat, svert, stime) zelen = len(namefiles)*len(var) numplot = zelen*nslices print "********** FILES, SLICES, VARS, TOTAL PLOTS: ", len(namefiles), nslices, len(var), numplot print "********** MAPMODE: ", mapmode ### we correct number of plot fields for possible operation (substract, etc...) if ope is not None: if fileref is not None: zelen = zelen + 2 elif "var" in ope: zelen = zelen + 1 ### we define the arrays for plot fields -- which will be placed within multiplot loops all_var = [[]]*zelen ; all_var2 = [[]]*zelen all_title = [[]]*zelen ; all_varname = [[]]*zelen ; all_namefile = [[]]*zelen ; all_time = [[]]*zelen all_windu = [[]]*zelen ; all_windv = [[]]*zelen ############################# ### LOOP OVER PLOT FIELDS ### ############################# for nnn in range(len(namefiles)): for vvv in range(len(var)): ### we load each NETCDF objects in namefiles namefile = namefiles[nnn] nc = Dataset(namefile) ### we explore the variables in the file varinfile = nc.variables.keys() if seevar: print varinfile ; exit() ### we define the type of file we have (gcm, meso, etc...) typefile = whatkindfile(nc) if firstfile: typefile0 = typefile elif typefile != typefile0: errormess("Not the same kind of files !", [typefile0, typefile]) ### we care for input file being 1D simulations if "longitude" in nc.dimensions and "latitude" in nc.dimensions: is1d = len(nc.variables["longitude"][:])*len(nc.variables["latitude"][:]) elif "lon" in nc.dimensions and "lat" in nc.dimensions: is1d = len(nc.variables["lon"][:])*len(nc.variables["lat"][:]) if typefile in ['gcm','earthgcm'] and is1d == 1: mapmode=0 ; winds=False ### we create default vert and time prescriptions if not here in case mapping mode is on (lat/lon maps) if redope is None and mapmode == 1: if svert is None: svert = readslices(str(level)) ; nvert=1 if stime is None and mrate is None: stime = readslices(str(0)) ; ntime=1 ## this is a default choice print "WELL... nothing about time axis. I took default: first time reference stored in file." ### we get the names of variables to be read. in case only one available, we choose this one. varname=var[vvv] if ((varname not in nc.variables) and not ((typefile in ['meso']) and (varname in ['UV','uv','uvmet','slopexy','SLOPEXY','deltat','DELTAT']))): if len(varinfile) == 1: varname = varinfile[0] else: varname = False ### we get the names of wind variables to be read (if any) if winds: [uchar,vchar,metwind] = getwinddef(nc) if uchar == 'not found': winds = False ### we tell the user that either no var or no wind is not acceptable if not varname and not winds: errormess("please set at least winds or var",printvar=nc.variables) ### we get the coordinates lat/lon to be used [lon2d,lat2d] = getcoorddef(nc) ### we get an adapted map projection if none is provided by the user if proj == None: proj = getproj(nc) ### we define plot boundaries given projection or user choices if firstfile: if proj in ["npstere","spstere"]: [wlon,wlat] = polarinterv(lon2d,lat2d) elif proj in ["lcc","laea"]: [wlon,wlat] = wrfinterv(lon2d,lat2d) else: [wlon,wlat] = simplinterv(lon2d,lat2d) if zoom: [wlon,wlat] = zoomset(wlon,wlat,zoom) elif zarea is not None: [wlon,wlat] = latinterv(area=zarea) ########################################################## ############ LOAD 4D DIMENSIONS : x, y, z, t ############# ########################################################## if typefile in ["gcm","earthgcm","ecmwf"]: if slon is not None: sslon = slon if slat is not None: sslat = slat ### LAT if "latitude" in nc.variables: lat = nc.variables["latitude"][:] elif "lat" in nc.variables: lat = nc.variables["lat"][:] ### LON if "longitude" in nc.variables: lon = nc.variables["longitude"][:] elif "lon" in nc.variables: lon = nc.variables["lon"][:] ### ALT if "altitude" in nc.variables: vert = nc.variables["altitude"][:] elif "Alt" in nc.variables: vert = nc.variables["Alt"][:] elif "lev" in nc.variables: vert = nc.variables["lev"][:] else: vert = [0.] ### AIRE (to weight means with the area) if "aire" in nc.variables: area = nc.variables["aire"][:,:] else: area = None ### TIME if "Time" in nc.variables: time = nc.variables["Time"][:] elif "time" in nc.variables: time = nc.variables["time"][:] elif "time_counter" in nc.variables: time = nc.variables["time_counter"][:]/86400. #### time counter cinverstion from s-> days else: time = [0.] #errormess("no time axis found.") if axtime in ["ls"]: print "converting to Ls ..." for iii in range(len(time)): time[iii] = sol2ls(time[iii]) if iii > 0: while abs(time[iii]-time[iii-1]) > 300: time[iii] = time[iii]+360 # for 1D plots (no need for longitude computation): if axtime in ["lt"]: if initime == -1: initime=input("Please type initial local time:") time = (initime+time*24)%24 print "LOCAL TIMES.... ", time elif typefile in ['meso','geo']: area = None ## not active for the moment ###### STUFF TO GET THE CORRECT LAT/LON FROM MESOSCALE FILES WITH 2D LAT/LON ARRAYS ###### principle: calculate correct indices then repopulate slon and slat if slon is not None or slat is not None: if firstfile and save == 'png' and typefile == 'meso' and "HGT" in varinfile and display: iwantawhereplot = nc #show a topo map with a cross on the chosen point else: iwantawhereplot = None #do not show anything, just select indices numlon = 1 ; numlat = 1 if slon is not None: numlon = slon.shape[1] if slat is not None: numlat = slat.shape[1] indices = np.ones([numlon,numlat,2]) ; vlon = None ; vlat = None for iii in range(numlon): for jjj in range(numlat): if slon is not None: vlon = slon[0][iii] ### note: slon[:][0] does not work if slat is not None: vlat = slat[0][jjj] ### note: slon[:][0] does not work indices[iii,jjj,:] = bidimfind(lon2d,lat2d,vlon,vlat,file=iwantawhereplot) lonp,latp = ( lon2d[indices[iii,jjj,0],indices[iii,jjj,1]] , lat2d[indices[iii,jjj,0],indices[iii,jjj,1]] ) ### possible bug here if several --lat for iii in range(numlon): for jjj in range(numlat): if slon is not None: sslon[0][iii] = indices[iii,0,1] #...this is idx if slat is not None: sslat[0][jjj] = indices[0,jjj,0] #...this is idy lonp,latp = ( lon2d[indices[0,0,0],indices[0,0,1]] , lat2d[indices[0,0,0],indices[0,0,1]] ) ###### if typefile in ['meso'] and mapmode == 1: lon2d = dumpbdy(lon2d,6) ; lat2d = dumpbdy(lat2d,6) ### important to do that now and not before ###### if varname in ['PHTOT','W']: vertdim='BOTTOM-TOP_PATCH_END_STAG' else: vertdim='BOTTOM-TOP_PATCH_END_UNSTAG' if (var2 is not None and var2 not in ['PHTOT','W']): dumped_vert_stag=True ; vertdim='BOTTOM-TOP_PATCH_END_UNSTAG' else: dumped_vert_stag=False if varname in ['V']: latdim='SOUTH-NORTH_PATCH_END_STAG' else: latdim='SOUTH-NORTH_PATCH_END_UNSTAG' if varname in ['U']: londim='WEST-EAST_PATCH_END_STAG' else: londim='WEST-EAST_PATCH_END_UNSTAG' lon = np.arange(0,getattr(nc,londim),1) ; lat = np.arange(0,getattr(nc,latdim),1) ### if axtime in ["ls","sol"]: lstab, soltab, lttab = getlschar ( namefile, getaxis = True ) if axtime == "ls": time = lstab elif axtime == "sol": time = soltab else: if ope in ["cat"] and nnn > 0: count = time[-1] + 1 ## so that a cat is possible with simple subscripts else: count = 0 if "Times" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Times"]),1) elif "Time" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Time"]),1) else: time = count + np.arange(0,1,1) if axtime in ["lt"]: ftime = np.zeros(len(time)) for i in range(len(time)): ftime[i] = localtime ( interv[0]+time[i]*interv[1], 0.5*(wlon[0]+wlon[1]) ) time=ftime time=check_localtime(time) print "LOCAL TIMES.... ", time ### if typefile in ['geo']: vert = [0.] ; stime = readslices(str(0)) else: if vertmode is None: vertmode=0 if vertmode == 0: if "vert" in nc.variables: vert = nc.variables["vert"][:]/1000. ; vertmode = 1 else: vert = np.arange(0,getattr(nc,vertdim),1) elif vertmode == -1: vert = nc.variables["PHTOT"][0,:,0,0]/3.72 ; vert = np.array(vert[0:len(vert)-1]) #; print vert elif vertmode == 1 or vertmode == 2: vert = nc.variables["vert"][:] ## pressure in Pa else: vert = nc.variables["vert"][:]/1000. ## altitude in km #if firstfile: # lat0 = lat #elif len(lat0) != len(lat): # errormess("Not the same latitude lengths !", [len(lat0), len(lat)]) #elif sum((lat == lat0) == False) != 0: # errormess("Not the same latitudes !", [lat,lat0]) ## Faire d'autre checks sur les compatibilites entre fichiers!! ########################################################## ########################################################## ########################################################## all_varname[k] = varname all_namefile[k] = namefile all_time[k] = time if var2: all_var2[k] = getfield(nc,var2) if ((var2 in ['slopexy','SLOPEXY']) and (typefile in ['meso']) and (var2 not in nc.variables)): all_var2[k] = slopeamplitude(nc) if winds: all_windu[k] = getfield(nc,uchar) ; all_windv[k] = getfield(nc,vchar) ##################### ##### GETFIELDS ##### ##################### ##### SPECIFIC CASES ##### 1. saturation temperature if varname in ["temp","t","T_nadir_nit","T_nadir_day","temp_day","temp_night"] and tsat: tt=getfield(nc,varname) ; print "computing Tsat-T, I ASSUME Z-AXIS IS PRESSURE" if type(tt).__name__=='MaskedArray': tt.set_fill_value([np.NaN]) ; tinput=tt.filled() else: tinput=tt all_var[k]=get_tsat(vert,tinput,zlon=lon,zlat=lat,zalt=vert,ztime=time) ##### 2. wind amplitude elif ((varname in ['UV','uv','uvmet']) and (typefile in ['meso']) and (varname not in nc.variables)): all_var[k]=windamplitude(nc) elif ((varname in ['slopexy','SLOPEXY']) and (typefile in ['meso']) and (varname not in nc.variables)): all_var[k]=slopeamplitude(nc) elif ((varname in ['DELTAT','deltat']) and (typefile in ['meso']) and (varname not in nc.variables)): all_var[k]=deltat0t1(nc) else: ##### GENERAL STUFF HERE all_var[k] = getfield(nc,varname) print "**** GOT SUBDATA:",k," NAMEFILE:",namefile," VAR:",varname, var2 ; k += 1 ; firstfile = False #### End of for namefile in namefiles ################################## ### Operation on files if ope is not None: print "********** OPERATION: ",ope if "var" not in ope: if len(var) > 1: errormess("for this operation... please set only one var !") if ope in ["-","+","-%"]: if fileref is not None: ncref = Dataset(fileref) if ((all_varname[k-1] in ['UV','uv','uvmet']) and (typefile in ['meso']) and (all_varname[k-1] not in ncref.variables)): all_var[k] = windamplitude(ncref) elif ((all_varname[k-1] in ['slopexy','SLOPEXY']) and (typefile in ['meso']) and (all_varname[k-1] not in ncref.variables)): all_var[k] = slopeamplitude(ncref) elif ((all_varname[k-1] in ['DELTAT','deltat']) and (typefile in ['meso']) and (all_varname[k-1] not in ncref.variables)): all_var[k]=deltat0t1(ncref) else: all_var[k] = getfield(ncref,all_varname[k-1]) all_varname[k] = all_varname[k-1] ; all_time[k] = all_time[k-1] ; all_namefile[k] = all_namefile[k-1] ; all_var2[k] = all_var2[k-1] if winds: all_windu[k] = getfield(ncref,uchar) ; all_windv[k] = getfield(ncref,vchar) else: errormess("fileref is missing!") if ope == "-": all_var[k+1]= all_var[k-1] - all_var[k] elif ope == "+": all_var[k+1]= all_var[k-1] + all_var[k] elif ope == "-%": masked = np.ma.masked_where(all_var[k] == 0,all_var[k]) masked.set_fill_value([np.NaN]) all_var[k+1]= 100.*(all_var[k-1] - masked)/masked all_varname[k+1] = all_varname[k] ; all_time[k+1] = all_time[k] ; all_namefile[k+1] = all_namefile[k] ; all_var2[k+1] = all_var2[k] ; numplot = numplot+2 if winds: all_windu[k+1] = all_windu[k-1]-all_windu[k] ; all_windv[k+1] = all_windv[k-1] - all_windv[k] elif ope in ["cat"]: tabtime = all_time[0];tab = all_var[0];k = 1 if var2: tab2 = all_var2[0] while k != len(namefiles) and len(all_time[k]) != 0: if var2: tab2 = np.append(tab2,all_var2[k],axis=0) tabtime = np.append(tabtime,all_time[k]) ; tab = np.append(tab,all_var[k],axis=0) ; k += 1 all_time[0] = np.array(tabtime) ; all_var[0] = np.array(tab) ; numplot = 1 if var2: all_var2[0] = np.array(tab2) else: errormess(ope+" : non-implemented operation. Check pp.py --help") else: if len(namefiles) > 1: errormess("for this operation... please set only one file !") if len(var) > 2: errormess("not sure this works for more than 2 vars... please check.") if ope in ["div_var"]: all_var[k] = all_var[k-2] / all_var[k-1] ; insert = '_div_' elif ope in ["mul_var"]: all_var[k] = all_var[k-2] * all_var[k-1] ; insert = '_mul_' elif ope in ["add_var"]: all_var[k] = all_var[k-2] + all_var[k-1] ; insert = '_add_' elif ope in ["sub_var"]: all_var[k] = all_var[k-2] - all_var[k-1] ; insert = '_sub_' else: errormess(ope+" : non-implemented operation. Check pp.py --help") numplot = numplot + 1 ; all_time[k] = all_time[k-1] ; all_namefile[k] = all_namefile[k-1] all_varname[k] = all_varname[k-2] + insert + all_varname[k-1] ################################## ### Open a figure and set subplots fig = figure() subv,subh = definesubplot( numplot, fig ) if ope in ['-','-%']: subv,subh = 2,2 ################################# ### Time loop for plotting device nplot = 1 ; error = False if lstyle is not None: linecycler = cycle(lstyle) else: linecycler = cycle(["-","--","-.",":"]) print "********************************************" while error is False: print "********** NPLOT", nplot if nplot > numplot: break #################################################################### ## get all indexes to be taken into account for this subplot and then reduce field ## 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 indexlon = getsindex(sslon,(nplot-1)%nlon,lon) indexlat = getsindex(sslat,((nplot-1)//nlon)%nlat,lat) indexvert = getsindex(svert,((nplot-1)//(nlon*nlat))%nvert,vert) if ope is not None: if fileref is not None: index_f = ((nplot-1)//(nlon*nlat*nvert*ntime))%(len(namefiles)+2) ## OK only 1 var, see test in the beginning elif "var" in ope: index_f = ((nplot-1)//(nlon*nlat*nvert*ntime))%(len(var)+1) ## OK only 1 file, see test in the beginning elif "cat" in ope: index_f = 0 else: yeah = len(namefiles)*len(var) ; index_f = ((nplot-1)//(nlon*nlat*nvert*ntime))%yeah time = all_time[index_f] if mrate is not None: indextime = None else: indextime = getsindex(stime,((nplot-1)//(nlon*nlat*nvert))%ntime,time) ltst = None if typefile in ['meso'] and indextime is not None: ltst = localtime ( interv[0]+indextime*interv[1], 0.5*(wlon[0]+wlon[1]) ) print "********** INDEX LON:",indexlon," LAT:",indexlat," VERT:",indexvert," TIME:",indextime ##var = nc.variables["phisinit"][:,:] ##contourf(np.transpose(var),30,cmap = get_cmap(name="Greys_r") ) ; axis('off') ; plot(indexlat,indexlon,'mx',mew=4.0,ms=20.0) ##show() ##exit() #truc = True #truc = False #if truc: indexvert = None #################################################################### ########## REDUCE FIELDS #################################################################### error = False varname = all_varname[index_f] if varname: ### what is shaded. what_I_plot, error = reducefield( all_var[index_f], d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \ yint=yintegral, alt=vert, anomaly=anomaly, redope=redope, mesharea=area ) if mult != 2718.: what_I_plot = what_I_plot*mult else: what_I_plot = np.log10(what_I_plot) ; print "log plot" if var2: ### what is contoured. what_I_plot_contour, error = reducefield( all_var2[index_f], d4=indextime, d1=indexlon, d2=indexlat , d3=indexvert, \ yint=yintegral, alt=vert ) if winds: ### what is plot as vectors. vecx, error = reducefield( all_windu[index_f], d4=indextime, d3=indexvert, yint=yintegral, alt=vert) vecy, error = reducefield( all_windv[index_f], d4=indextime, d3=indexvert, yint=yintegral, alt=vert) if varname in [uchar,vchar]: what_I_plot = np.sqrt( np.square(vecx) + np.square(vecy) ) ; varname = "wind" ##################################################################### #if truc: # nx = what_I_plot.shape[2] ; ny = what_I_plot.shape[1] ; nz = what_I_plot.shape[0] # for k in range(nz): print k,' over ',nz ; what_I_plot[k,:,:] = what_I_plot[k,:,:] / smooth(what_I_plot[k,:,:],12) # for iii in range(nx): # for jjj in range(ny): # deviation = what_I_plot[:,jjj,iii] ; mx = max(deviation) ; mn = min(deviation) # 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 # else: what_I_plot[0,jjj,iii] = 0. # if np.abs(what_I_plot[0,jjj,iii]) > 1.5: # print iii,jjj,what_I_plot[0,jjj,iii],int(abs(1.-mx)*100.),int(abs(1.-mn)*100.) # plot(rel) # show() # anomaly = True ### pour avoir les bons reglages plots # what_I_plot = what_I_plot[0,:,:] ##################################################################### #################################################################### ### General plot settings changesubplot = (numplot > 1) and (len(what_I_plot.shape) != 1) ## default for 1D plots: superimposed. to be reworked for better flexibility. if changesubplot: subplot(subv,subh,nplot) #; subplots_adjust(wspace=0,hspace=0) #################################################################### if error: errormess("There is an error in reducing field !") else: ticks = ndiv + 1 fvar = varname if anomaly: fvar = 'anomaly' ### if mapmode == 0: ### could this be moved inside imov loop ? itime=indextime if len(what_I_plot.shape) == 3: itime=[0] m = None ; x = None ; y = None latyeah = lat ; lonyeah = lon if typefile in ['meso']: # now that the section is determined we can set the real lat # ... or for now, a temptative one. if slon is not None: latyeah = lat2d[:,0] if slat is not None: lonyeah = lon2d[0,:] what_I_plot, x, y = define_axis(lonyeah,latyeah,vert,time,indexlon,indexlat,indexvert,\ itime,what_I_plot, len(all_var[index_f].shape),vertmode) ### if (fileref is not None) and (index_f == numplot-1): zevmin, zevmax = calculate_bounds(what_I_plot,vmin=minop,vmax=maxop) else: zevmin, zevmax = calculate_bounds(what_I_plot,vmin=vmin,vmax=vmax) if (fileref is not None) and (index_f == numplot-1): colorb = "RdBu_r" if colorb in ["def","nobar","onebar"]: palette = get_cmap(name=defcolorb(fvar.upper())) else: palette = get_cmap(name=colorb) #palette = cm.GMT_split ##### 1. ELIMINATE 0D or >3D CASES if len(what_I_plot.shape) == 0: print "VALUE VALUE VALUE VALUE ::: ",what_I_plot save = 'donothing' elif len(what_I_plot.shape) >= 4: print "WARNING!!! ",len(what_I_plot.shape),"-D PLOT NOT SUPPORTED !!! dimensions: ",what_I_plot.shape errormess("Are you sure you did not forget to prescribe a dimension ?") ##### 2. HANDLE simple 1D/2D field and movies of 1D/2D fields else: if mrate is not None: iend=len(time)-1 else: iend=0 imov = 0 if len(what_I_plot.shape) == 3: if var2: which = "contour" ## have to start with contours rather than shading else: which = "regular" if mrate is None: errormess("3D field. Use --rate RATE for movie or specify --time TIME. Exit.") elif len(what_I_plot.shape) == 2: if var2: which = "contour" ## have to start with contours rather than shading else: which = "regular" if mrate is not None: which = "unidim" elif len(what_I_plot.shape) == 1: which = "unidim" if what_I_plot.shape[-1] == 1: print "VALUE VALUE VALUE VALUE ::: ", what_I_plot[0] ; save = 'donothing' ##### IMOV LOOP #### IMOV LOOP while imov <= iend: print "-> frame ",imov+1, which if which == "regular": if mrate is None: what_I_plot_frame = what_I_plot else: what_I_plot_frame = what_I_plot[imov,:,:] if winds: if mrate is None: vecx_frame = vecx ; vecy_frame = vecy else: vecx_frame = vecx[imov,:,:] ; vecy_frame = vecy[imov,:,:] elif which == "contour": if mrate is None or what_I_plot_contour.ndim < 3: what_I_plot_frame = what_I_plot_contour else: what_I_plot_frame = what_I_plot_contour[imov,:,:] elif which == "unidim": if mrate is None: what_I_plot_frame = what_I_plot else: what_I_plot_frame = what_I_plot[:,imov] ## because swapaxes #if mrate is not None: if mapmode == 1: m = define_proj(proj,wlon,wlat,back=back,blat=blat,blon=blon) ## this is dirty, defined above but out of imov loop x, y = m(lon2d, lat2d) ## this is dirty, defined above but out of imov loop if typefile in ['meso'] and mapmode == 1: what_I_plot_frame = dumpbdy(what_I_plot_frame,6,condition=True) # if typefile in ['mesoideal']: what_I_plot_frame = dumpbdy(what_I_plot_frame,0,stag='W',condition=dumped_vert_stag) if which == "unidim": if lbls is not None: lbl=lbls[nplot-1] else: lbl = "" if indexlat is not None: lbl = lbl + " ix" + str(indexlat[0]) if indexlon is not None: lbl = lbl + " iy" + str(indexlon[0]) if indexvert is not None: lbl = lbl + " iz" + str(indexvert[0]) if indextime is not None: lbl = lbl + " it" + str(indextime[0]) if lbl == "": lbl = all_namefile[index_f] if mrate is not None: x = y ## because swapaxes... #what_I_plot_frame = np.diff(what_I_plot_frame, n=1) ; x = x[1:] zeline = next(linecycler) ## "-" for simple lines if tile: zemarker = 'x' else: zemarker = None this_is_a_regular_plot = (indexvert is not None) or (indextime is None) or (indexlat is None) or (indexlon is None) if this_is_a_regular_plot: plot(x,what_I_plot_frame,zeline,label=lbl,marker=zemarker) ## vertical profile else: plot(what_I_plot_frame,x,zeline,label=lbl,marker=zemarker) ## regular plot if nplot > 1: legend(loc='best') if indextime is None and axtime is not None and xlab is None: xlabel(axtime.upper()) ## define the right label if save == 'txt': writeascii(np.transpose([x,np.transpose(what_I_plot)]),'profile'+str(nplot*1000+imov)+'.txt') elif which == "regular": # plot stream lines if there is a stream file and a vert/lat slice. Might not work with movies ?? if streamflag and sslat is None and svert is None: streamfile = all_namefile[index_f].replace('.nc','_stream.nc') teststream = os.path.exists(streamfile) if teststream: print 'INFO: Using stream file',streamfile, 'for stream lines' ncstream = Dataset(streamfile) psi = getfield(ncstream,'psi') psi = psi[0,:,:,0] # time and longitude are dummy dimensions if psi.shape[1] != len(x) or psi.shape[0] != len(y): errormess('stream file does not fit! Dimensions: '+str(psi.shape)+' '+str(x.shape)+' '+str(y.shape)) zelevels = np.arange(-1.e10,1.e10,1.e9) zemin = np.min(abs(zelevels)) zemax = np.max(abs(zelevels)) zewidth = (abs(zelevels)-zemin)*(5.- 0.5)/(zemax - zemin) + 0.5 # linewidth ranges from 5 to 0.5 cs = contour( x,y,psi, zelevels, colors='k', linewidths = zewidth) clabel(cs, inline=True, fontsize = 4.*rcParams['font.size']/5., fmt="%1.1e") else: print 'WARNING: STREAM FILE',streamfile, 'DOES NOT EXIST !' if hole: what_I_plot_frame = hole_bounds(what_I_plot_frame,zevmin,zevmax) else: what_I_plot_frame = bounds(what_I_plot_frame,zevmin,zevmax) if flagnolow: what_I_plot_frame = nolow(what_I_plot_frame) if not tile: #zelevels = np.linspace(zevmin*(1. + 1.e-7),zevmax*(1. - 1.e-7)) #,num=20) zelevels = np.linspace(zevmin,zevmax,num=ticks) #what_I_plot_frame = smooth(what_I_plot_frame,100) if mapmode == 1: m.contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans) elif mapmode == 0: contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans) if cross is not None and mapmode == 1: idx,idy=m(cross[0][0],cross[0][1]) mpl.pyplot.plot([idx],[idy],'+k',mew=0.5,ms=18) else: if mapmode == 1: m.pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans) elif mapmode == 0: pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans) if colorb not in ['nobar','onebar']: if (fileref is not None) and (index_f == numplot-1): daformat = "%.3f" elif mult != 1: daformat = "%.1f" else: daformat = fmtvar(fvar.upper()) #if proj in ['moll','cyl']: zeorientation="horizontal" ; zepad = 0.05 if proj in ['moll']: zeorientation="horizontal" ; zepad = 0.05 else: zeorientation="vertical" ; zepad = 0.03 zecb = colorbar( fraction=0.05,pad=zepad,format=daformat,orientation=zeorientation,\ ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional' ) if zeorientation == "horizontal" and zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]="" if winds: if typefile in ['meso']: [vecx_frame,vecy_frame] = [dumpbdy(vecx_frame,6,stag=uchar,condition=True), dumpbdy(vecy_frame,6,stag=vchar,condition=True)] key = True if fvar in ['UV','uv','uvmet']: key = False elif typefile in ['gcm']: key = False if metwind and mapmode == 1: [vecx_frame,vecy_frame] = m.rotate_vector(vecx_frame, vecy_frame, lon2d, lat2d) if var: colorvec = definecolorvec(colorb) else: colorvec = definecolorvec(back) vectorfield(vecx_frame, vecy_frame, x, y, stride=stride, csmooth=2,\ #scale=15., factor=300., color=colorvec, key=key) scale=20., factor=250., color=colorvec, key=key) #200. ## or csmooth=stride if ope == '-' and nplot == numplot: # this should work as long as ope is '-' guarantees 3 plots for 4 panels without contour subplot(subv,subh,nplot+1) rcParams["legend.fontsize"] = 'xx-large' if indexlat is None: latmin = -50.; latmax = 50. # latitude range for histogram of difference zeindexlat = (latlatmin) # this follows the define_axis logic in myplot.py: if indextime is None or indexlon is None: what_I_plot_frame = what_I_plot_frame[zeindexlat,:] else: what_I_plot_frame = what_I_plot_frame[:,zeindexlat] toplot = np.ravel(what_I_plot_frame[np.isnan(what_I_plot_frame)==False]) zebins = np.linspace(zevmin,zevmax,num=30) hist(toplot,bins=zebins,histtype='step',linewidth=2,color='k',normed=True) zestd = np.std(toplot);zemean = np.mean(toplot) zebins = np.linspace(zevmin,zevmax,num=300) zegauss = (1./(zestd * np.sqrt(2 * np.pi)) * np.exp( - (zebins - zemean)**2 / (2 * zestd**2) ) ) plot(zebins, zegauss, linewidth=1, color='r',label="mean: "+str(zemean)[0:5]+"\nstd: "+str(zestd)[0:5]) legend(loc=0,frameon=False) title("Histogram fig(1) "+ope+" fig(2)") subplot(subv,subh,nplot) # go back to last plot for title of contour difference elif which == "contour": zevminc, zevmaxc = calculate_bounds(what_I_plot_frame, vmin=min(what_I_plot_frame), vmax=max(what_I_plot_frame)) zelevels = np.linspace(zevminc,zevmaxc,ticks/2) #20) if var2 == 'HGT': zelevels = np.arange(-10000.,30000.,1000.) elif var2 == 'tpot': zelevels = np.arange(270,370,5) elif var2 == 'tk': zelevels = np.arange(150,250,5) if mapmode == 0: what_I_plot_frame, x, y = define_axis( lonyeah,latyeah,vert,time,indexlon,indexlat,indexvert,\ itime,what_I_plot_frame, len(all_var2[index_f].shape),vertmode ) ## is this needed? only if len(all_var2[index_f].shape) != len(all_var[index_f].shape) cs = contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33)#, alpha=0.5, linestyles='solid') clabel(cs, inline=1, fontsize = 4.*rcParams['font.size']/5., fmt=fmtvar(var2.upper())) elif mapmode == 1: cs = m.contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33)#, alpha=0.5, linestyles='solid') if which in ["regular","unidim"]: if nplot > 1 and which == "unidim": pass ## because we superimpose nplot instances else: # Axis directives for movie frames [including the first one). zxmin, zxmax = xaxis ; zymin, zymax = yaxis if zxmin is not None: mpl.pyplot.xlim(xmin=zxmin) if zxmax is not None: mpl.pyplot.xlim(xmax=zxmax) if zymin is not None: mpl.pyplot.ylim(ymin=zymin) if zymax is not None: mpl.pyplot.ylim(ymax=zymax) if ylog: mpl.pyplot.semilogy() if invert_y: ax = mpl.pyplot.gca() ; ax.set_ylim(ax.get_ylim()[::-1]) if xlab is not None: xlabel(xlab) if ylab is not None: ylabel(ylab) if mrate is not None: ### THIS IS A MENCODER MOVIE if mrate > 0: figframe=mpl.pyplot.gcf() if mquality: figframe.set_dpi(600.) else: figframe.set_dpi(200.) mframe=fig2img(figframe) if imov == 0: moviename='movie' ;W,H = figframe.canvas.get_width_height() video = VideoSink((H,W), moviename, rate=mrate, byteorder="rgba") video.run(mframe) ; close() if imov == iend: video.close() ### THIS IS A WEBPAGE MOVIE else: nameframe = "image"+str(1000+imov) makeplotres(nameframe,res=100.,disp=False) ; close() if imov == 0: myfile = open("zepics", 'w') myfile.write("modImages["+str(imov)+"] = '"+nameframe+"_100.png';"+ '\n') if imov == iend: myfile.write("first_image = 0;"+ '\n') myfile.write("last_image = "+str(iend)+";"+ '\n') myfile.close() if var2 and which == "regular": which = "contour" imov = imov+1 elif which == "contour": which = "regular" ### Next subplot zevarname = varname if redope is not None: zevarname = zevarname + "_" + redope basename = getname(var=zevarname,var2=var2,winds=winds,anomaly=anomaly) if len(what_I_plot.shape) > 3: basename = basename + getstralt(nc,level) if mrate is not None: basename = "movie_" + basename if typefile in ['meso']: if sslon is not None: basename = basename + "_lon_" + str(int(round(lonp))) if sslat is not None: basename = basename + "_lat_" + str(int(round(latp))) plottitle = basename ### dans le nouveau systeme time=ls,sol,lt cette ligne pourrait ne servir a rien (ou deplacer au dessus) if addchar and indextime is not None: [addchar,gogol,gogol2] = getlschar ( all_namefile[index_f] ) ; plottitle = plottitle + addchar ### en fait redope is None doit etre remplace par : n'est ni maxt ni mint if redope is None and ltst is not None and ( (mapmode == 0) or (proj in ["lcc","laea","merc","nsper"]) ): plottitle = plottitle + "_LT" + str(ltst) else: if fileref is not None: if index_f is numplot-1: plottitle = basename+' '+"fig(1) "+ope+" fig(2)" elif index_f is numplot-2: plottitle = basename+' '+fileref else: plottitle = basename+' '+all_namefile[index_f] else: plottitle = basename+' '+all_namefile[index_f] if mult != 1: plottitle = '{:.0e}'.format(mult) + "*" + plottitle if zetitle[0] != "fill": if index_f < len(zetitle): plottitle = zetitle[index_f] else: plottitle = zetitle[0] if titleref is "fill": titleref=zetitle[index_f] if fileref is not None: if index_f is numplot-2: plottitle = titleref if index_f is numplot-1: plottitle = "fig(1) "+ope+" fig(2)" # if indexlon is not None: plottitle = plottitle + " lon: " + str(min(lon[indexlon])) +" "+ str(max(lon[indexlon])) # if indexlat is not None: plottitle = plottitle + " lat: " + str(min(lat[indexlat])) +" "+ str(max(lat[indexlat])) # if indexvert is not None: plottitle = plottitle + " vert: " + str(min(vert[indexvert])) +" "+ str(max(vert[indexvert])) # if indextime is not None: plottitle = plottitle + " time: " + str(min(time[indextime])) +" "+ str(max(time[indextime])) if colorb != "onebar": title( plottitle ) if nplot >= numplot: error = True nplot += 1 if colorb == "onebar": cax = axes([0.1, 0.2, 0.8, 0.03]) # a ameliorer zecb = colorbar(cax=cax, orientation="horizontal", format=fmtvar(fvar.upper()),\ ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional') if zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]="" ########################################################################## ### Save the figure in a file in the data folder or an user-defined folder if outputname is None: if typefile in ['meso']: prefix = getprefix(nc) elif typefile in ['gcm']: prefix = 'LMD_GCM_' else: prefix = '' ### zeplot = prefix + basename if addchar: zeplot = zeplot + addchar if numplot <= 0: zeplot = zeplot + "_LT"+str(abs(numplot)) ### if not target: zeplot = namefile[0:find(namefile,'wrfout')] + zeplot else: zeplot = target + "/" + zeplot ### else: zeplot=outputname if mrate is None: pad_inches_value = 0.35 print "********** SAVE ", save if save == 'png': if display: makeplotres(zeplot,res=100.,pad_inches_value=pad_inches_value) #,erase=True) ## a miniature makeplotres(zeplot,res=resolution,pad_inches_value=pad_inches_value,disp=False) elif save in ['eps','svg','pdf']: makeplotres(zeplot,pad_inches_value=pad_inches_value,disp=False,ext=save) elif save == 'gui': show() elif save == 'donothing': pass elif save == 'txt': print "Saved results in txt file." else: print "INFO: save mode not supported. using gui instead." show() ################################### #### Getting more out of this video -- PROBLEMS WITH CREATED VIDEOS # #if mrate is not None: # print "Re-encoding movie.. first pass" # video.first_pass(filename=moviename,quality=mquality,rate=mrate) # print "Re-encoding movie.. second pass" # video.second_pass(filename=moviename,quality=mquality,rate=mrate) ############### ### Now the end return zeplot