####################### ##### 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 -- -- Mostly minor improvements and inter-plot operation capabilities + zrecast interpolation for gcm def planetoplot (namefiles,\ level=0,\ vertmode=0,\ proj=None,\ back=None,\ target=None, stride=3,\ numplot=None,\ var=None,\ colorb="def",\ winds=True,\ addchar=None,\ interv=[0,1],\ vmin=None,\ vmax=None,\ tile=False,\ zoom=None,\ display=True,\ itstep=None,\ hole=False,\ save="gui",\ anomaly=False,\ var2=None,\ ndiv=10,\ first=1,\ 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): #################################################################################################################### ### 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,polarinterv,getsindex,define_axis,determineplot from mymath import deg,max,min,mean import matplotlib as mpl from matplotlib.pyplot import contour,contourf, subplot, figure, rcParams, savefig, colorbar, pcolor, show, plot, clabel from matplotlib.cm import get_cmap import numpy as np from numpy.core.defchararray import find ################################ ### Which plot needs to be done? nlon, nlat, nvert, ntime, mapmode, nslices = determineplot(slon, slat, svert, stime) if mapmode == 0: winds=False if not isinstance(namefiles, np.ndarray): namefiles = [namefiles] zelen = len(namefiles) if numplot == None: numplot = zelen*nslices print "len(namefiles), nslices, numplot: ", zelen, nslices, numplot if fileref is not None: all_var = [[]]*(zelen+2) else: all_var = [[]]*zelen all_var2 = [[]]*zelen all_title = [[]]*zelen ######################### ### Loop over the files initially separated by comas to be plotted on the same figure k = 0 firstfile = True for namefile in namefiles: print namefile ###################### ### Load NETCDF object nc = Dataset(namefile) ################################## ### Initial checks and definitions ### ... TYPEFILE typefile = whatkindfile(nc) if firstfile: typefile0 = typefile elif typefile != typefile0: errormess("Not the same kind of files !", [typefile0, typefile]) ### ... VAR if var not in nc.variables: var = False ### ... WINDS if winds: [uchar,vchar,metwind] = getwinddef(nc) if uchar == 'not found': winds = False if not var and not winds: errormess("please set at least winds or var",printvar=nc.variables) ### ... COORDINATES, could be moved below [lon2d,lat2d] = getcoorddef(nc) ### ... PROJECTION if proj == None: proj = getproj(nc) ########################################################## if typefile == "gcm": lat = nc.variables["latitude"][:] lon = nc.variables["longitude"][:] if "Time" in nc.variables: time = nc.variables["Time"][:] elif "time" in nc.variables: time = nc.variables["time"][:] else: print "no time axis found." exit() vert = nc.variables["altitude"][:] elif typefile in ['meso','mesoapi']: if mapmode == 0: if var in ['PHTOT','W']: vertdim='BOTTOM-TOP_PATCH_END_STAG' else: vertdim='BOTTOM-TOP_PATCH_END_UNSTAG' if var in ['V']: latdim='SOUTH-NORTH_PATCH_END_STAG' else: latdim='SOUTH-NORTH_PATCH_END_UNSTAG' if var 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 vertmode is None: vertmode=0 if vertmode == 0: vert = np.arange(0,getattr(nc,vertdim),1) else: vert = nc.variables["vert"][:] time = np.arange(0,len(nc.variables["Times"]),1) #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!! ########################################################## if firstfile: ########################## ### Define plot boundaries ### todo: possible areas in latinterv in argument (ex: "Far_South_Pole") 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) ######################################### ### Name for title and graphics save file basename = getname(var=var,winds=winds,anomaly=anomaly) basename = basename + getstralt(nc,level) ## can be moved elsewhere for a more generic routine print "var, var2: ", var, var2 if var: all_var[k] = getfield(nc,var) if var2: all_var2[k] = getfield(nc,var2) print "k", k print "all_var[k].shape", all_var[k].shape k += 1 firstfile = False #### End of for namefile in namefiles ################################## ### Load reference file if there is one if fileref is not None: ncref = Dataset(fileref) ### ... VAR if var not in nc.variables: var = False if var: all_var[k] = getfield(ncref,var) if ope is "-": all_var[k+1]= all_var[k-1] - all_var[k] elif ope is "+": all_var[k+1]= all_var[k-1] + all_var[k] elif ope is not None: print "non-implemented operation. Available op. are + and -." numplot = numplot+2 ################################## ### Open a figure and set subplots fig = figure() subv,subh = definesubplot( numplot, fig ) ################################# ### Time loop for plotting device found_lct = False nplot = 1 itime = first error = False if itstep is None and numplot > 0: itstep = int(24./numplot) elif numplot <= 0: itstep = 1 #for nplot in range(numplot): while error is False: print "nplot", nplot print error ### Which local time ? ltst = localtime ( interv[0]+itime*interv[1], 0.5*(wlon[0]+wlon[1]) ) ### General plot settings #print itime, int(ltst), numplot, nplot if numplot >= 1: if nplot > numplot: break if numplot > 1: if typefile not in ['geo']: subplot(subv,subh,nplot) found_lct = True ### If only one local time is requested (numplot < 0) elif numplot <= 0: if int(ltst) + numplot != 0: itime += 1 if found_lct is True: break ## because it means LT was found at previous iteration else: continue ## continue to iterate to find the correct LT else: found_lct = True ### Map projection if mapmode == 1: m = define_proj(proj,wlon,wlat,back=back) x, y = m(lon2d, lat2d) #################################################################### if typefile in ['meso','mesoapi'] and mapmode == 1: indextime = itime indexlon = None indexlat = None indexvert = level ## ou svert ??? nlon = 1 nlat = 1 nvert = 1 ntime = 1 else: ## 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(slon,(nplot-1)%nlon,lon) indexlat = getsindex(slat,((nplot-1)//nlon)%nlat,lat) indexvert = getsindex(svert,((nplot-1)//(nlon*nlat))%nvert,vert) indextime = getsindex(stime,((nplot-1)//(nlon*nlat*nvert))%ntime,time) if fileref is not None: index_f = ((nplot-1)//(nlon*nlat*nvert*ntime))%(len(namefiles)+2) else: index_f = ((nplot-1)//(nlon*nlat*nvert*ntime))%len(namefiles) print nlon, nlat, nvert, ntime print slon, slat, svert, stime print index_f print "index lon,lat,vert,time", max(indexlon), max(indexlat), max(indexvert), max(indextime) #################################################################### #### Contour plot if var2: what_I_plot, error = reducefield(all_var2[index_f], d4=indextime, d1=indexlon, d2=indexlat , d3=indexvert ) #what_I_plot = what_I_plot*mult if not error: if mapmode == 1: if typefile in ['mesoapi','meso']: what_I_plot = dumpbdy(what_I_plot,6) zevmin, zevmax = calculate_bounds(what_I_plot) zelevels = np.linspace(zevmin,zevmax,num=ndiv+1) #20) if var2 == 'HGT': zelevels = np.arange(-10000.,30000.,2000.) if mapmode == 0: x, y = define_axis(lon,lat,vert,time,indexlon,indexlat,indexvert,\ indextime,what_I_plot.shape, len(all_var2[index_f].shape),vertmode) ### If we plot a 2-D field if len(what_I_plot.shape) is 2: cs = contour(x,y,what_I_plot, zelevels, colors='k', linewidths = 1 ) #0.33 colors='w' )# , alpha=0.5) if typefile in ['gcm']: clabel(cs,fmt = '%1.2e') ### If we plot a 1-D field elif len(what_I_plot.shape) is 1: plot(what_I_plot,x) else: errormess("There is an error in reducing field !") #### Shaded plot if var: what_I_plot, error = reducefield(all_var[index_f], d4=indextime, d1=indexlon, d2=indexlat , d3=indexvert ) what_I_plot = what_I_plot*mult if not error: fvar = var ### if anomaly: what_I_plot = 100. * ((what_I_plot / smooth(what_I_plot,12)) - 1.) fvar = 'anomaly' #if mult != 1: # fvar = str(mult) + "*" + var ### if mapmode == 1: if typefile in ['mesoapi','meso']: what_I_plot = dumpbdy(what_I_plot,6) elif mapmode == 0: what_I_plot, x, y = define_axis(lon,lat,vert,time,indexlon,indexlat,indexvert,\ indextime,what_I_plot, len(all_var[index_f].shape),vertmode) if (fileref is not None) and (index_f is 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 colorb in ["def","nobar"]: palette = get_cmap(name=defcolorb(fvar.upper())) else: palette = get_cmap(name=colorb) ##### 2D field if len(what_I_plot.shape) is 2: if not tile: if not hole: what_I_plot = bounds(what_I_plot,zevmin,zevmax) #zelevels = np.linspace(zevmin*(1. + 1.e-7),zevmax*(1. - 1.e-7)) #,num=20) zelevels = np.linspace(zevmin,zevmax)#,num=ndiv+1) #contourf(what_I_plot, zelevels, cmap = palette ) contourf( x, y, what_I_plot, zelevels, cmap = palette) 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 invert_y: lima,limb = mpl.pyplot.ylim() mpl.pyplot.ylim(limb,lima) if ylog: mpl.pyplot.semilogy() else: if hole: what_I_plot = nolow(what_I_plot) pcolor( x, y, what_I_plot, cmap = palette, vmin=zevmin, vmax=zevmax ) if colorb != 'nobar' and var != 'HGT' : if (fileref is not None) and (index_f is numplot-1): colorbar(fraction=0.05,pad=0.03,format="%.2f",\ ticks=np.linspace(zevmin,zevmax,min([ndiv+1,20])),\ extend='neither',spacing='proportional') else: colorbar(fraction=0.05,pad=0.03,format=fmtvar(fvar.upper()),\ ticks=np.linspace(zevmin,zevmax,min([ndiv+1,20])),\ extend='neither',spacing='proportional') # both min max neither ##### 1D field elif len(what_I_plot.shape) is 1: plot(x,what_I_plot) #### Other cases: (maybe plot 3-D field one day or movie ??) else: print "WARNING!!! ",len(what_I_plot.shape),"-D PLOT NOT SUPPORTED !!!" print "field dimensions: ", what_I_plot.shape exit() else: errormess("There is an error in reducing field !") ### Vector plot --- a adapter if winds: vecx, error = reducefield( getfield(nc,uchar), d4=indextime, d3=indexvert ) vecy, error = reducefield( getfield(nc,vchar), d4=indextime, d3=indexvert ) #what_I_plot, error = reducefield(all_var[index_f], d4=indextime, d1=indexlon, d2=indexlat , d3=indexvert ) if not error: if typefile in ['mesoapi','meso']: [vecx,vecy] = [dumpbdy(vecx,6,stag=uchar), dumpbdy(vecy,6,stag=vchar)] key = True elif typefile in ['gcm']: key = False if metwind: [vecx,vecy] = m.rotate_vector(vecx, vecy, lon2d, lat2d) if var == False: colorvec = definecolorvec(back) else: colorvec = definecolorvec(colorb) vectorfield(vecx, vecy,\ 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 ### Next subplot if typefile in ['mesoapi','meso']: plottitle = basename if addchar: plottitle = plottitle + addchar + "_LT"+str(ltst) else: 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+' '+namefiles[index_f] else: plottitle = basename+' '+namefiles[index_f] if mult != 1: plottitle = str(mult) + "*" + plottitle if zetitle != "fill": plottitle = zetitle if titleref is "fill": titleref=zetitle 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])) ptitle( plottitle ) itime += itstep if nplot >= numplot: error = True nplot += 1 ########################################################################## ### Save the figure in a file in the data folder or an user-defined folder if outputname is None: if typefile in ['meso','mesoapi']: 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 found_lct: 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() else: print "save mode not supported. using gui instead." show() else: print "Local time not found" ############### ### Now the end return zeplot