| 1 | ####################### |
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| 2 | ##### PLANETOPLOT ##### |
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| 3 | ####################### |
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| 4 | |
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| 5 | ### A. Spiga -- LMD -- 06~09/2011 -- General building and mapping capabilities |
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| 6 | ### T. Navarro -- LMD -- 10~11/2011 -- Improved use for GCM and added sections + 1Dplot capabilities |
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| 7 | ### A. Colaitis -- LMD -- 11/2011 -- Mostly minor improvements and inter-plot operation capabilities + zrecast interpolation for gcm |
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| 8 | ### A. Spiga -- LMD -- 11/2011 -- Extended multivar subplot capabilities + cosmetic changes + general cleaning and tests |
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| 9 | ### A. Colaitis -- LMD -- 12/2011 -- Added movie capability [mencoder must be installed] |
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| 10 | |
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| 11 | def planetoplot (namefiles,\ |
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| 12 | level=0,\ |
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| 13 | vertmode=0,\ |
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| 14 | proj=None,\ |
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| 15 | back=None,\ |
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| 16 | target=None, |
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| 17 | stride=3,\ |
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| 18 | var=None,\ |
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| 19 | colorb="def",\ |
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| 20 | winds=False,\ |
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| 21 | addchar=None,\ |
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| 22 | interv=[0,1],\ |
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| 23 | vmin=None,\ |
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| 24 | vmax=None,\ |
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| 25 | tile=False,\ |
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| 26 | zoom=None,\ |
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| 27 | display=True,\ |
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| 28 | hole=False,\ |
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| 29 | save="gui",\ |
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| 30 | anomaly=False,\ |
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| 31 | var2=None,\ |
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| 32 | ndiv=10,\ |
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| 33 | mult=1.,\ |
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| 34 | zetitle="fill",\ |
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| 35 | slon=None,\ |
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| 36 | slat=None,\ |
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| 37 | svert=None,\ |
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| 38 | stime=None,\ |
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| 39 | outputname=None,\ |
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| 40 | resolution=200,\ |
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| 41 | ope=None,\ |
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| 42 | fileref=None,\ |
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| 43 | minop=0.,\ |
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| 44 | maxop=0.,\ |
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| 45 | titleref="fill",\ |
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| 46 | invert_y=False,\ |
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| 47 | xaxis=[None,None],\ |
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| 48 | yaxis=[None,None],\ |
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| 49 | ylog=False,\ |
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| 50 | yintegral=False,\ |
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| 51 | blat=None,\ |
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| 52 | tsat=False,\ |
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| 53 | flagnolow=False,\ |
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| 54 | mrate=None): |
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| 55 | |
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| 56 | |
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| 57 | #################################################################################################################### |
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| 58 | ### Colorbars http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps?action=AttachFile&do=get&target=colormaps3.png |
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| 59 | |
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| 60 | ################################# |
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| 61 | ### Load librairies and functions |
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| 62 | from netCDF4 import Dataset |
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| 63 | from myplot import getcoord2d,define_proj,makeplotres,simplinterv,vectorfield,ptitle,latinterv,getproj,wrfinterv,dumpbdy,\ |
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| 64 | fmtvar,definecolorvec,defcolorb,getprefix,putpoints,calculate_bounds,errormess,definesubplot,\ |
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| 65 | zoomset,getcoorddef,getwinddef,whatkindfile,reducefield,bounds,getstralt,getfield,smooth,nolow,\ |
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| 66 | getname,localtime,polarinterv,getsindex,define_axis,determineplot,readslices,bidimfind,getlschar,hole_bounds,\ |
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| 67 | call_contour |
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| 68 | from mymath import deg,max,min,mean,get_tsat,writeascii,fig2data,fig2img |
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| 69 | import matplotlib as mpl |
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| 70 | from matplotlib.pyplot import contour,contourf, subplot, figure, rcParams, savefig, colorbar, pcolor, show, plot, clabel, title |
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| 71 | from matplotlib.cm import get_cmap |
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| 72 | import numpy as np |
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| 73 | from numpy.core.defchararray import find |
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| 74 | from videosink import VideoSink |
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| 75 | |
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| 76 | ################################ |
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| 77 | ### Preliminary stuff |
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| 78 | ################################ |
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| 79 | print "********************************************" |
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| 80 | print "********** WELCOME TO PLANETOPLOT **********" |
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| 81 | print "********************************************" |
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| 82 | if not isinstance(namefiles, np.ndarray): namefiles = [namefiles] |
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| 83 | if not isinstance(var, np.ndarray): var = [var] |
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| 84 | |
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| 85 | ################################ |
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| 86 | ### Which plot needs to be done? |
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| 87 | ################################ |
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| 88 | nlon, nlat, nvert, ntime, mapmode, nslices = determineplot(slon, slat, svert, stime) |
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| 89 | vlon = None ; vlat = None |
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| 90 | if slon is not None: vlon = slon[0][0] |
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| 91 | if slat is not None: vlat = slat[0][0] |
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| 92 | if mapmode == 0: winds=False |
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| 93 | elif mapmode == 1: |
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| 94 | if svert is None: svert = readslices(str(level)) ; nvert=1 |
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| 95 | if stime is None and mrate is None: |
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| 96 | stime = readslices(str(0)) ; ntime=1 ## this is a default choice |
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| 97 | print "WELL... nothing about time axis. I took default: first time reference stored in file." |
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| 98 | zelen = len(namefiles)*len(var) |
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| 99 | numplot = zelen*nslices |
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| 100 | print "********** FILES, SLICES, VARS, TOTAL PLOTS: ", len(namefiles), nslices, len(var), numplot |
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| 101 | if ope is not None: |
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| 102 | if fileref is not None: zelen = zelen + 2 |
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| 103 | elif "var" in ope: zelen = zelen + 1 |
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| 104 | all_var = [[]]*zelen ; all_var2 = [[]]*zelen ; all_title = [[]]*zelen ; all_varname = [[]]*zelen ; all_namefile = [[]]*zelen ; all_time = [[]]*zelen |
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| 105 | |
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| 106 | ################################################################################################# |
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| 107 | ### Loop over the files + vars initially separated by commas to be plotted on the same figure ### |
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| 108 | ################################################################################################# |
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| 109 | k = 0 ; firstfile = True |
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| 110 | for nnn in range(len(namefiles)): |
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| 111 | for vvv in range(len(var)): |
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| 112 | |
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| 113 | print "********** LOOP..... THIS IS SUBPLOT NUMBER.....",k |
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| 114 | |
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| 115 | ###################### |
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| 116 | ### Load NETCDF object |
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| 117 | namefile = namefiles[nnn] ; print "********** THE NAMEFILE IS....", namefile |
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| 118 | nc = Dataset(namefile) |
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| 119 | |
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| 120 | ################################## |
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| 121 | ### Initial checks and definitions |
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| 122 | ### ... TYPEFILE |
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| 123 | typefile = whatkindfile(nc) |
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| 124 | if typefile in ['mesoideal']: mapmode=0;winds=False |
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| 125 | if firstfile: print "********** MAPMODE: ", mapmode |
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| 126 | if firstfile: typefile0 = typefile |
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| 127 | elif typefile != typefile0: errormess("Not the same kind of files !", [typefile0, typefile]) |
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| 128 | ### ... VAR |
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| 129 | varname=var[vvv] |
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| 130 | print "********** THE VAR IS....",varname, var2 |
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| 131 | if varname not in nc.variables: varname = False |
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| 132 | ### ... WINDS |
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| 133 | if winds: |
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| 134 | [uchar,vchar,metwind] = getwinddef(nc) |
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| 135 | if uchar == 'not found': winds = False |
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| 136 | if not varname and not winds: errormess("please set at least winds or var",printvar=nc.variables) |
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| 137 | ### ... COORDINATES, could be moved below |
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| 138 | [lon2d,lat2d] = getcoorddef(nc) |
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| 139 | ### ... PROJECTION |
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| 140 | if ((proj == None) and (typefile not in ['mesoideal'])): proj = getproj(nc) |
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| 141 | |
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| 142 | ########################################################## |
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| 143 | if typefile == "gcm": |
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| 144 | lat = nc.variables["latitude"][:] ; lon = nc.variables["longitude"][:] |
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| 145 | if "Time" in nc.variables: time = nc.variables["Time"][:] |
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| 146 | elif "time" in nc.variables: time = nc.variables["time"][:] |
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| 147 | else: errormess("no time axis found.") |
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| 148 | vert = nc.variables["altitude"][:] |
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| 149 | elif typefile in ['meso','mesoapi','geo','mesoideal']: |
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| 150 | if vlon is not None or vlat is not None: indices = bidimfind(lon2d,lat2d,vlon,vlat) ; print '********** INDICES: ', indices |
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| 151 | if slon is not None: slon[0][0] = indices[0] ; slon[0][1] = indices[0] |
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| 152 | if slat is not None: slat[0][0] = indices[1] ; slat[0][1] = indices[1] |
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| 153 | if varname in ['PHTOT','W']: vertdim='BOTTOM-TOP_PATCH_END_STAG' |
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| 154 | else: vertdim='BOTTOM-TOP_PATCH_END_UNSTAG' |
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| 155 | if varname in ['V']: latdim='SOUTH-NORTH_PATCH_END_STAG' |
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| 156 | else: latdim='SOUTH-NORTH_PATCH_END_UNSTAG' |
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| 157 | if varname in ['U']: londim='WEST-EAST_PATCH_END_STAG' |
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| 158 | else: londim='WEST-EAST_PATCH_END_UNSTAG' |
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| 159 | lon = np.arange(0,getattr(nc,londim),1) ; lat = np.arange(0,getattr(nc,latdim),1) |
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| 160 | if "Times" in nc.variables:time = np.arange(0,len(nc.variables["Times"]),1) |
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| 161 | elif "Time" in nc.variables:time = np.arange(0,len(nc.variables["Time"]),1) |
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| 162 | if typefile in ['geo']: vert = [0.] ; stime = readslices(str(0)) |
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| 163 | else: |
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| 164 | if vertmode is None: vertmode=0 |
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| 165 | if vertmode == 0: vert = np.arange(0,getattr(nc,vertdim),1) |
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| 166 | else: vert = nc.variables["vert"][:] |
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| 167 | #if firstfile: |
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| 168 | # lat0 = lat |
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| 169 | #elif len(lat0) != len(lat): |
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| 170 | # errormess("Not the same latitude lengths !", [len(lat0), len(lat)]) |
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| 171 | #elif sum((lat == lat0) == False) != 0: |
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| 172 | # errormess("Not the same latitudes !", [lat,lat0]) |
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| 173 | ## Faire d'autre checks sur les compatibilites entre fichiers!! |
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| 174 | ########################################################## |
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| 175 | |
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| 176 | if firstfile: |
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| 177 | ########################## |
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| 178 | ### Define plot boundaries |
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| 179 | ### todo: possible areas in latinterv in argument (ex: "Far_South_Pole") |
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| 180 | if proj in ["npstere","spstere"]: [wlon,wlat] = polarinterv(lon2d,lat2d) |
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| 181 | elif proj in ["lcc","laea"]: [wlon,wlat] = wrfinterv(lon2d,lat2d) |
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| 182 | else: [wlon,wlat] = simplinterv(lon2d,lat2d) |
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| 183 | if zoom: [wlon,wlat] = zoomset(wlon,wlat,zoom) |
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| 184 | |
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| 185 | all_varname[k] = varname |
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| 186 | all_namefile[k] = namefile |
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| 187 | all_time[k] = time |
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| 188 | if var2: all_var2[k] = getfield(nc,var2) |
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| 189 | ##### SPECIFIC |
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| 190 | if varname in ["temp","t","T_nadir_nit","T_nadir_day","temp_day","temp_night"] and tsat: |
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| 191 | tt=getfield(nc,varname) ; print "computing Tsat-T, I ASSUME Z-AXIS IS PRESSURE" |
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| 192 | if type(tt).__name__=='MaskedArray': tt.set_fill_value([np.NaN]) ; tinput=tt.filled() |
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| 193 | else: tinput=tt |
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| 194 | all_var[k]=get_tsat(vert,tinput,zlon=lon,zlat=lat,zalt=vert,ztime=time) |
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| 195 | else: |
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| 196 | ##### GENERAL STUFF HERE |
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| 197 | all_var[k] = getfield(nc,varname) |
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| 198 | print "********** all_var[k].shape", all_var[k].shape |
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| 199 | k += 1 |
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| 200 | firstfile = False |
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| 201 | #### End of for namefile in namefiles |
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| 202 | |
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| 203 | ################################## |
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| 204 | ### Operation on files |
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| 205 | if ope is not None: |
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| 206 | print ope |
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| 207 | if "var" not in ope: |
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| 208 | if len(var) > 1: errormess("for this operation... please set only one var !") |
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| 209 | if ope in ["-","+"]: |
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| 210 | if fileref is not None: all_var[k] = getfield(Dataset(fileref),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] |
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| 211 | else: errormess("fileref is missing!") |
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| 212 | if ope == "-": all_var[k+1]= all_var[k-1] - all_var[k] |
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| 213 | elif ope == "+": all_var[k+1]= all_var[k-1] + all_var[k] |
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| 214 | all_varname[k+1] = all_varname[k] ; all_time[k+1] = all_time[k] ; all_namefile[k+1] = all_namefile[k] ; numplot = numplot+2 |
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| 215 | elif ope in ["cat"]: |
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| 216 | tab = all_var[0];k = 1 |
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| 217 | while k != len(namefiles)-1: |
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| 218 | tab = np.append(tab,all_var[k],axis=0) ; k += 1 |
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| 219 | all_time[0] = np.arange(0,len(tab),1) ### AS: time reference is too simplistic, should be better |
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| 220 | all_var[0] = np.array(tab) ; numplot = 1 |
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| 221 | else: errormess(ope+" : non-implemented operation. Check pp.py --help") |
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| 222 | else: |
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| 223 | if len(namefiles) > 1: errormess("for this operation... please set only one file !") |
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| 224 | if len(var) > 2: errormess("not sure this works for more than 2 vars... please check.") |
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| 225 | if ope in ["div_var"]: all_var[k] = all_var[k-2] / all_var[k-1] ; insert = '_div_' |
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| 226 | elif ope in ["mul_var"]: all_var[k] = all_var[k-2] * all_var[k-1] ; insert = '_mul_' |
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| 227 | elif ope in ["add_var"]: all_var[k] = all_var[k-2] + all_var[k-1] ; insert = '_add_' |
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| 228 | elif ope in ["sub_var"]: all_var[k] = all_var[k-2] - all_var[k-1] ; insert = '_sub_' |
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| 229 | else: errormess(ope+" : non-implemented operation. Check pp.py --help") |
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| 230 | numplot = numplot + 1 ; all_time[k] = all_time[k-1] ; all_namefile[k] = all_namefile[k-1] |
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| 231 | all_varname[k] = all_varname[k-2] + insert + all_varname[k-1] |
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| 232 | |
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| 233 | ################################## |
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| 234 | ### Open a figure and set subplots |
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| 235 | fig = figure() |
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| 236 | subv,subh = definesubplot( numplot, fig ) |
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| 237 | |
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| 238 | ################################# |
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| 239 | ### Time loop for plotting device |
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| 240 | nplot = 1 ; error = False |
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| 241 | print "********************************************" |
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| 242 | while error is False: |
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| 243 | print "********** NPLOT", nplot |
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| 244 | |
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| 245 | ### General plot settings |
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| 246 | if nplot > numplot: break |
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| 247 | if numplot > 1: subplot(subv,subh,nplot) |
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| 248 | |
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| 249 | ### Map projection |
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| 250 | if mapmode == 1: |
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| 251 | m = define_proj(proj,wlon,wlat,back=back,blat=blat) |
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| 252 | x, y = m(lon2d, lat2d) |
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| 253 | elif mapmode ==0: |
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| 254 | m = None ; x = None ; y = None |
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| 255 | |
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| 256 | #################################################################### |
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| 257 | ## get all indexes to be taken into account for this subplot and then reduce field |
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| 258 | ## 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 |
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| 259 | indexlon = getsindex(slon,(nplot-1)%nlon,lon) |
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| 260 | indexlat = getsindex(slat,((nplot-1)//nlon)%nlat,lat) |
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| 261 | indexvert = getsindex(svert,((nplot-1)//(nlon*nlat))%nvert,vert) |
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| 262 | if ope is not None: |
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| 263 | 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 |
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| 264 | elif "var" in ope: index_f = ((nplot-1)//(nlon*nlat*nvert*ntime))%(len(var)+1) ## OK only 1 file, see test in the beginning |
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| 265 | else: yeah = len(namefiles)*len(var) ; index_f = ((nplot-1)//(nlon*nlat*nvert*ntime))%yeah |
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| 266 | time = all_time[index_f] |
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| 267 | if stime is not None: |
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| 268 | if stime[0][0] < 0: |
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| 269 | if typefile in ['mesoapi','meso']: |
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| 270 | for i in range(len(time)): time[i] = localtime ( interv[0]+time[i]*interv[1], 0.5*(wlon[0]+wlon[1]) ) |
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| 271 | print "OK... WORKING WITH LOCAL TIMES" |
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| 272 | else: errormess("local times not supported. not too hard to modify the code though.") |
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| 273 | if mrate is not None: indextime = None |
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| 274 | else: indextime = getsindex(stime,((nplot-1)//(nlon*nlat*nvert))%ntime,time) |
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| 275 | ltst = None |
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| 276 | if typefile in ['mesoapi','meso'] and indextime is not None: ltst = localtime ( interv[0]+indextime*interv[1], 0.5*(wlon[0]+wlon[1]) ) |
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| 277 | print "********** index lon, lat, vert, time ",indexlon,indexlat,indexvert,indextime |
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| 278 | #################################################################### |
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| 279 | |
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| 280 | ticks = ndiv + 1 |
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| 281 | |
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| 282 | #### Contour plot -- to be activated with movies |
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| 283 | if var2: |
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| 284 | what_I_plot_contour, error = reducefield(all_var2[index_f], d4=indextime, d1=indexlon, d2=indexlat , d3=indexvert, yint=yintegral, alt=vert) |
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| 285 | call_contour(what_I_plot_contour,error,x,y,m,lon,lat,vert,time,vertmode,all_var2[index_f],indextime,indexlon,indexlat,indexvert,yintegral,mapmode,typefile, var2, ticks) |
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| 286 | |
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| 287 | #### Shaded plot |
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| 288 | varname = all_varname[index_f] |
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| 289 | if varname: |
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| 290 | what_I_plot, error = reducefield( all_var[index_f], d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \ |
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| 291 | yint=yintegral, alt=vert, anomaly=anomaly ) |
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| 292 | what_I_plot = what_I_plot*mult |
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| 293 | #if typefile in ['mesoideal']: what_I_plot = dumpbdy(what_I_plot,0,stag='W') |
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| 294 | if not error: |
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| 295 | fvar = varname |
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| 296 | if anomaly: fvar = 'anomaly' |
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| 297 | if mapmode == 0: |
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| 298 | itime=indextime |
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| 299 | if len(what_I_plot.shape) is 3:itime=[0] |
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| 300 | what_I_plot, x, y = define_axis(lon,lat,vert,time,indexlon,indexlat,indexvert,\ |
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| 301 | itime,what_I_plot, len(all_var[index_f].shape),vertmode) |
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| 302 | zxmin, zxmax = xaxis ; zymin, zymax = yaxis |
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| 303 | if zxmin is not None: mpl.pyplot.xlim(xmin=zxmin) |
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| 304 | if zxmax is not None: mpl.pyplot.xlim(xmax=zxmax) |
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| 305 | if zymin is not None: mpl.pyplot.ylim(ymin=zymin) |
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| 306 | if zymax is not None: mpl.pyplot.ylim(ymax=zymax) |
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| 307 | if invert_y: lima,limb = mpl.pyplot.ylim() ; mpl.pyplot.ylim(limb,lima) |
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| 308 | if ylog: mpl.pyplot.semilogy() |
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| 309 | |
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| 310 | if (fileref is not None) and (index_f is numplot-1): zevmin, zevmax = calculate_bounds(what_I_plot,vmin=minop,vmax=maxop) |
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| 311 | else: zevmin, zevmax = calculate_bounds(what_I_plot,vmin=vmin,vmax=vmax) |
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| 312 | if colorb in ["def","nobar"]: palette = get_cmap(name=defcolorb(fvar.upper())) |
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| 313 | elif (fileref is not None) and (index_f is numplot-1): palette = get_cmap(name="RdBu_r") |
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| 314 | else: palette = get_cmap(name=colorb) |
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| 315 | ##### simple 2D field and movies of 2D fields |
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| 316 | if len(what_I_plot.shape) >= 2: |
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| 317 | if (len(what_I_plot.shape) is 3 and mrate is None): errormess("3D field. Use --rate RATE for movie or specify --time TIME. Exit.") |
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| 318 | istart=0 |
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| 319 | if mrate is not None: iend=len(time)-1 |
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| 320 | else: iend=istart |
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| 321 | imov=istart |
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| 322 | while imov <= iend: |
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| 323 | what_I_plot_frame = what_I_plot |
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| 324 | if mrate is not None: |
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| 325 | what_I_plot_frame = what_I_plot[imov,:,:] ; print "-> frame ",imov+1 |
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| 326 | if mapmode == 1: |
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| 327 | m = define_proj(proj,wlon,wlat,back=back,blat=blat) ## this is dirty, defined above but out of imov loop |
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| 328 | x, y = m(lon2d, lat2d) ## this is dirty, defined above but out of imov loop |
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| 329 | if typefile in ['mesoapi','meso'] and mapmode == 1: what_I_plot_frame = dumpbdy(what_I_plot_frame,6) |
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| 330 | if hole: what_I_plot_frame = hole_bounds(what_I_plot_frame,zevmin,zevmax) |
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| 331 | else: what_I_plot_frame = bounds(what_I_plot_frame,zevmin,zevmax) |
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| 332 | if flagnolow: what_I_plot_frame = nolow(what_I_plot_frame) |
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| 333 | |
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| 334 | if imov >= 0: |
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| 335 | # Renew axis directives for movie frames which are not the first one. |
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| 336 | zxmin, zxmax = xaxis ; zymin, zymax = yaxis |
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| 337 | if zxmin is not None: mpl.pyplot.xlim(xmin=zxmin) |
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| 338 | if zxmax is not None: mpl.pyplot.xlim(xmax=zxmax) |
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| 339 | if zymin is not None: mpl.pyplot.ylim(ymin=zymin) |
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| 340 | if zymax is not None: mpl.pyplot.ylim(ymax=zymax) |
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| 341 | if invert_y: lima,limb = mpl.pyplot.ylim() ; mpl.pyplot.ylim(limb,lima) |
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| 342 | if ylog: mpl.pyplot.semilogy() |
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| 343 | # Renew contours for movie frames which are not the first one |
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| 344 | if var2: |
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| 345 | call_contour(what_I_plot_contour[imov,:,:],error,x,y,m,lon,lat,vert,time,vertmode,all_var2[index_f],imov,indexlon,indexlat,indexvert,yintegral,mapmode,typefile, var2, ticks) |
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| 346 | if not tile: |
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| 347 | #zelevels = np.linspace(zevmin*(1. + 1.e-7),zevmax*(1. - 1.e-7)) #,num=20) |
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| 348 | zelevels = np.linspace(zevmin,zevmax,num=ticks) |
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| 349 | if imov is 0: print np.array(x).shape, np.array(y).shape, np.array(what_I_plot_frame).shape |
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| 350 | if mapmode == 1: m.contourf( x, y, what_I_plot_frame, zelevels, cmap = palette) |
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| 351 | elif mapmode == 0: contourf( x, y, what_I_plot_frame, zelevels, cmap = palette) |
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| 352 | else: |
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| 353 | if mapmode == 1: m.pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax ) |
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| 354 | elif mapmode == 0: pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax ) |
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| 355 | if colorb != 'nobar': |
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| 356 | if (fileref is not None) and (index_f is numplot-1): daformat = "%.3f" |
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| 357 | else: daformat = fmtvar(fvar.upper()) |
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| 358 | colorbar( fraction=0.05,pad=0.03,format=daformat,\ |
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| 359 | ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,20])),extend='neither',spacing='proportional' ) |
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| 360 | mframe=fig2img(mpl.pyplot.gcf()) |
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| 361 | if ((mrate is not None) and (imov is 0)): |
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| 362 | W,H = mpl.pyplot.gcf().canvas.get_width_height() |
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| 363 | video = VideoSink((H,W), "test", rate=mrate, byteorder="rgba") |
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| 364 | if mrate is not None: |
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| 365 | video.run(mframe) |
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| 366 | mpl.pyplot.close() |
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| 367 | imov=imov+1 |
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| 368 | if mrate is not None: video.close |
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| 369 | ##### 1D field |
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| 370 | elif len(what_I_plot.shape) is 1: |
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| 371 | plot(x,what_I_plot) |
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| 372 | if save == 'txt': writeascii(np.transpose(what_I_plot),'profile'+str(nplot)+'.txt') |
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| 373 | |
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| 374 | #### Other cases: (maybe plot 3-D field one day or movie ??) |
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| 375 | else: |
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| 376 | print "WARNING!!! ",len(what_I_plot.shape),"-D PLOT NOT SUPPORTED !!! dimensions: ",what_I_plot.shape |
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| 377 | errormess("Are you sure you did not forget to prescribe a dimension ?") |
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| 378 | else: |
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| 379 | errormess("There is an error in reducing field !") |
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| 380 | |
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| 381 | ### Vector plot --- a adapter |
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| 382 | if winds: |
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| 383 | vecx, error = reducefield( getfield(nc,uchar), d4=indextime, d3=indexvert , yint=yintegral , alt=vert) |
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| 384 | vecy, error = reducefield( getfield(nc,vchar), d4=indextime, d3=indexvert , yint=yintegral , alt=vert) |
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| 385 | #what_I_plot, error = reducefield(all_var[index_f], d4=indextime, d1=indexlon, d2=indexlat , d3=indexvert ) |
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| 386 | if not error: |
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| 387 | if typefile in ['mesoapi','meso']: |
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| 388 | [vecx,vecy] = [dumpbdy(vecx,6,stag=uchar), dumpbdy(vecy,6,stag=vchar)] |
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| 389 | key = True |
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| 390 | elif typefile in ['gcm']: |
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| 391 | key = False |
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| 392 | if metwind: [vecx,vecy] = m.rotate_vector(vecx, vecy, lon2d, lat2d) |
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| 393 | if varname == False: colorvec = definecolorvec(back) |
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| 394 | else: colorvec = definecolorvec(colorb) |
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| 395 | vectorfield(vecx, vecy,\ |
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| 396 | x, y, stride=stride, csmooth=2,\ |
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| 397 | #scale=15., factor=300., color=colorvec, key=key) |
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| 398 | scale=20., factor=250., color=colorvec, key=key) |
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| 399 | #200. ## or csmooth=stride |
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| 400 | |
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| 401 | ### Next subplot |
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| 402 | basename = getname(var=varname,winds=winds,anomaly=anomaly) |
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| 403 | basename = basename + getstralt(nc,level) |
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| 404 | if typefile in ['mesoapi','meso']: |
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| 405 | if slon is not None: basename = basename + "_lon_" + str(int(lon2d[indices[1],indices[0]])) |
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| 406 | if slat is not None: basename = basename + "_lat_" + str(int(lat2d[indices[1],indices[0]])) |
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| 407 | plottitle = basename |
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| 408 | if addchar: |
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| 409 | [addchar,gogol,gogol2] = getlschar ( all_namefile[index_f] ) |
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| 410 | plottitle = plottitle + addchar + "_LT" |
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| 411 | else: plottitle = plottitle + "_LT" |
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| 412 | if ltst is not None: plottitle = plottitle + str(ltst) |
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| 413 | else: |
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| 414 | if fileref is not None: |
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| 415 | if index_f is numplot-1: plottitle = basename+' '+"fig(1) "+ope+" fig(2)" |
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| 416 | elif index_f is numplot-2: plottitle = basename+' '+fileref |
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| 417 | else: plottitle = basename+' '+namefiles[0]#index_f] |
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| 418 | else: plottitle = basename+' '+namefiles[0]#index_f] |
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| 419 | if mult != 1: plottitle = str(mult) + "*" + plottitle |
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| 420 | if zetitle != "fill": |
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| 421 | plottitle = zetitle |
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| 422 | if titleref is "fill": titleref=zetitle |
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| 423 | if fileref is not None: |
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| 424 | if index_f is numplot-2: plottitle = titleref |
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| 425 | if index_f is numplot-1: plottitle = "fig(1) "+ope+" fig(2)" |
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| 426 | # if indexlon is not None: plottitle = plottitle + " lon: " + str(min(lon[indexlon])) +" "+ str(max(lon[indexlon])) |
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| 427 | # if indexlat is not None: plottitle = plottitle + " lat: " + str(min(lat[indexlat])) +" "+ str(max(lat[indexlat])) |
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| 428 | # if indexvert is not None: plottitle = plottitle + " vert: " + str(min(vert[indexvert])) +" "+ str(max(vert[indexvert])) |
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| 429 | # if indextime is not None: plottitle = plottitle + " time: " + str(min(time[indextime])) +" "+ str(max(time[indextime])) |
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| 430 | title( plottitle ) |
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| 431 | if nplot >= numplot: error = True |
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| 432 | nplot += 1 |
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| 433 | |
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| 434 | |
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| 435 | |
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| 436 | |
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| 437 | |
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| 438 | |
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| 439 | |
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| 440 | |
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| 441 | ########################################################################## |
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| 442 | ### Save the figure in a file in the data folder or an user-defined folder |
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| 443 | if outputname is None: |
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| 444 | if typefile in ['meso','mesoapi']: prefix = getprefix(nc) |
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| 445 | elif typefile in ['gcm']: prefix = 'LMD_GCM_' |
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| 446 | else: prefix = '' |
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| 447 | ### |
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| 448 | zeplot = prefix + basename |
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| 449 | if addchar: zeplot = zeplot + addchar |
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| 450 | if numplot <= 0: zeplot = zeplot + "_LT"+str(abs(numplot)) |
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| 451 | ### |
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| 452 | if not target: zeplot = namefile[0:find(namefile,'wrfout')] + zeplot |
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| 453 | else: zeplot = target + "/" + zeplot |
|---|
| 454 | ### |
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| 455 | else: |
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| 456 | zeplot=outputname |
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| 457 | |
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| 458 | if mrate is None: |
|---|
| 459 | pad_inches_value = 0.35 |
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| 460 | print "********** SAVE ", save |
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| 461 | if save == 'png': |
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| 462 | if display: makeplotres(zeplot,res=100.,pad_inches_value=pad_inches_value) #,erase=True) ## a miniature |
|---|
| 463 | makeplotres(zeplot,res=resolution,pad_inches_value=pad_inches_value,disp=False) |
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| 464 | elif save in ['eps','svg','pdf']: makeplotres(zeplot,pad_inches_value=pad_inches_value,disp=False,ext=save) |
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| 465 | elif save == 'gui': show() |
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| 466 | elif save == 'txt': print "Saved results in txt file." |
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| 467 | else: |
|---|
| 468 | print "INFO: save mode not supported. using gui instead." |
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| 469 | show() |
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| 470 | |
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| 471 | ############### |
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| 472 | ### Now the end |
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| 473 | return zeplot |
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