| 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 -- 11~12/2011 -- 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 | ### A. Spiga -- LMD -- 12/2011 -- Added HTML animated page capability + general tests of consistency [winds, etc...] + consistent generic movie loop |
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| 11 | ### J. Leconte -- LMD -- 02/2012 -- Added area weighted averaging. Compatibility with terrestrial gcm. |
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| 12 | ### A. Spiga -- LMD -- 03/2012 -- Cleaning and improved comments |
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| 13 | def planetoplot (namefiles,\ |
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| 14 | level=0,\ |
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| 15 | vertmode=0,\ |
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| 16 | proj=None,\ |
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| 17 | back=None,\ |
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| 18 | target=None, |
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| 19 | stride=3,\ |
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| 20 | var=None,\ |
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| 21 | colorb="def",\ |
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| 22 | winds=False,\ |
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| 23 | addchar=None,\ |
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| 24 | interv=[0,1],\ |
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| 25 | vmin=None,\ |
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| 26 | vmax=None,\ |
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| 27 | tile=False,\ |
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| 28 | zoom=None,\ |
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| 29 | display=True,\ |
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| 30 | hole=False,\ |
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| 31 | save="gui",\ |
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| 32 | anomaly=False,\ |
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| 33 | var2=None,\ |
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| 34 | ndiv=10,\ |
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| 35 | mult=1.,\ |
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| 36 | zetitle=["fill"],\ |
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| 37 | slon=None,\ |
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| 38 | slat=None,\ |
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| 39 | svert=None,\ |
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| 40 | stime=None,\ |
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| 41 | outputname=None,\ |
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| 42 | resolution=200,\ |
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| 43 | ope=None,\ |
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| 44 | fileref=None,\ |
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| 45 | minop=0.,\ |
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| 46 | maxop=0.,\ |
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| 47 | titleref="fill",\ |
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| 48 | invert_y=False,\ |
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| 49 | xaxis=[None,None],\ |
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| 50 | yaxis=[None,None],\ |
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| 51 | ylog=False,\ |
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| 52 | yintegral=False,\ |
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| 53 | blat=None,\ |
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| 54 | blon=None,\ |
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| 55 | tsat=False,\ |
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| 56 | flagnolow=False,\ |
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| 57 | mrate=None,\ |
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| 58 | mquality=False,\ |
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| 59 | trans=1,\ |
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| 60 | zarea=None,\ |
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| 61 | axtime=None,\ |
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| 62 | redope=None,\ |
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| 63 | seevar=False,\ |
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| 64 | xlab=None,\ |
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| 65 | ylab=None,\ |
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| 66 | lbls=None,\ |
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| 67 | lstyle=None,\ |
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| 68 | cross=None,\ |
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| 69 | streamflag=False): |
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| 70 | |
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| 71 | #################################################################################################################### |
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| 72 | ### Colorbars http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps?action=AttachFile&do=get&target=colormaps3.png |
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| 73 | |
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| 74 | ################################# |
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| 75 | ### Load librairies and functions |
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| 76 | from netCDF4 import Dataset |
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| 77 | from myplot import getcoord2d,define_proj,makeplotres,simplinterv,vectorfield,ptitle,latinterv,getproj,wrfinterv,dumpbdy,\ |
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| 78 | fmtvar,definecolorvec,defcolorb,getprefix,putpoints,calculate_bounds,errormess,definesubplot,\ |
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| 79 | zoomset,getcoorddef,getwinddef,whatkindfile,reducefield,bounds,getstralt,getfield,smooth,nolow,\ |
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| 80 | getname,localtime,check_localtime,polarinterv,getsindex,define_axis,determineplot,readslices,bidimfind,getlschar,hole_bounds,\ |
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| 81 | windamplitude,slopeamplitude,deltat0t1 |
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| 82 | from mymath import deg,max,min,mean,get_tsat,writeascii,fig2data,fig2img |
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| 83 | import matplotlib as mpl |
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| 84 | 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 |
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| 85 | from matplotlib.cm import get_cmap |
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| 86 | #from mpl_toolkits.basemap import cm |
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| 87 | import numpy as np |
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| 88 | from numpy.core.defchararray import find |
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| 89 | from videosink import VideoSink |
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| 90 | from timestuff import sol2ls |
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| 91 | import subprocess |
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| 92 | #from singlet import singlet |
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| 93 | from itertools import cycle |
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| 94 | import os |
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| 95 | |
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| 96 | ######################### |
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| 97 | ### PRELIMINARY STUFF ### |
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| 98 | ######################### |
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| 99 | ### we say hello |
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| 100 | print "********************************************" |
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| 101 | print "********** WELCOME TO PLANETOPLOT **********" |
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| 102 | print "********************************************" |
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| 103 | ### we ensure namefiles and var are arrays |
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| 104 | if not isinstance(namefiles, np.ndarray): namefiles = [namefiles] |
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| 105 | if not isinstance(var, np.ndarray): var = [var] |
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| 106 | ### we initialize a few variables |
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| 107 | initime=-1 ; sslon = None ; sslat = None |
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| 108 | if slon is not None: sslon = np.zeros([1,2]) |
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| 109 | if slat is not None: sslat = np.zeros([1,2]) |
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| 110 | k = 0 ; firstfile = True ; count = 0 |
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| 111 | ### we avoid specific cases not yet implemented |
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| 112 | if mrate is not None and len(var) > 1: errormess("multivar not allowed in movies. should be fixed soon!") |
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| 113 | ### we prepare number of plot fields [zelen] and plot instances [numplot] according to user choices |
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| 114 | ### --> we support multifile and multivar plots : files + vars separated by commas are on the same figure |
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| 115 | nlon, nlat, nvert, ntime, mapmode, nslices = determineplot(slon, slat, svert, stime) |
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| 116 | zelen = len(namefiles)*len(var) |
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| 117 | numplot = zelen*nslices |
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| 118 | print "********** FILES, SLICES, VARS, TOTAL PLOTS: ", len(namefiles), nslices, len(var), numplot |
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| 119 | print "********** MAPMODE: ", mapmode |
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| 120 | ### we correct number of plot fields for possible operation (substract, etc...) |
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| 121 | if ope is not None: |
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| 122 | if fileref is not None: zelen = zelen + 2 |
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| 123 | elif "var" in ope: zelen = zelen + 1 |
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| 124 | ### we define the arrays for plot fields -- which will be placed within multiplot loops |
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| 125 | all_var = [[]]*zelen ; all_var2 = [[]]*zelen |
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| 126 | all_title = [[]]*zelen ; all_varname = [[]]*zelen ; all_namefile = [[]]*zelen ; all_time = [[]]*zelen |
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| 127 | all_windu = [[]]*zelen ; all_windv = [[]]*zelen |
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| 128 | |
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| 129 | ############################# |
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| 130 | ### LOOP OVER PLOT FIELDS ### |
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| 131 | ############################# |
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| 132 | for nnn in range(len(namefiles)): |
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| 133 | for vvv in range(len(var)): |
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| 134 | |
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| 135 | ### we load each NETCDF objects in namefiles |
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| 136 | namefile = namefiles[nnn] |
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| 137 | nc = Dataset(namefile) |
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| 138 | ### we explore the variables in the file |
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| 139 | varinfile = nc.variables.keys() |
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| 140 | if seevar: print varinfile ; exit() |
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| 141 | ### we define the type of file we have (gcm, meso, etc...) |
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| 142 | typefile = whatkindfile(nc) |
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| 143 | if firstfile: typefile0 = typefile |
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| 144 | elif typefile != typefile0: errormess("Not the same kind of files !", [typefile0, typefile]) |
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| 145 | ### we care for input file being 1D simulations |
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| 146 | if "longitude" in nc.dimensions and "latitude" in nc.dimensions: is1d = len(nc.variables["longitude"][:])*len(nc.variables["latitude"][:]) |
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| 147 | elif "lon" in nc.dimensions and "lat" in nc.dimensions: is1d = len(nc.variables["lon"][:])*len(nc.variables["lat"][:]) |
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| 148 | if typefile in ['gcm','earthgcm'] and is1d == 1: mapmode=0 ; winds=False |
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| 149 | ### we create default vert and time prescriptions if not here in case mapping mode is on (lat/lon maps) |
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| 150 | if redope is None and mapmode == 1: |
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| 151 | if svert is None: svert = readslices(str(level)) ; nvert=1 |
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| 152 | if stime is None and mrate is None: |
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| 153 | stime = readslices(str(0)) ; ntime=1 ## this is a default choice |
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| 154 | print "WELL... nothing about time axis. I took default: first time reference stored in file." |
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| 155 | ### we get the names of variables to be read. in case only one available, we choose this one. |
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| 156 | varname=var[vvv] |
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| 157 | if ((varname not in nc.variables) and not ((typefile in ['meso']) and (varname in ['UV','uv','uvmet','slopexy','SLOPEXY','deltat','DELTAT']))): |
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| 158 | if len(varinfile) == 1: varname = varinfile[0] |
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| 159 | else: varname = False |
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| 160 | ### we get the names of wind variables to be read (if any) |
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| 161 | if winds: |
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| 162 | [uchar,vchar,metwind] = getwinddef(nc) |
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| 163 | if uchar == 'not found': winds = False |
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| 164 | ### we tell the user that either no var or no wind is not acceptable |
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| 165 | if not varname and not winds: errormess("please set at least winds or var",printvar=nc.variables) |
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| 166 | ### we get the coordinates lat/lon to be used |
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| 167 | [lon2d,lat2d] = getcoorddef(nc) |
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| 168 | ### we get an adapted map projection if none is provided by the user |
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| 169 | if proj == None: proj = getproj(nc) |
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| 170 | ### we define plot boundaries given projection or user choices |
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| 171 | if firstfile: |
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| 172 | if proj in ["npstere","spstere"]: [wlon,wlat] = polarinterv(lon2d,lat2d) |
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| 173 | elif proj in ["lcc","laea"]: [wlon,wlat] = wrfinterv(lon2d,lat2d) |
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| 174 | else: [wlon,wlat] = simplinterv(lon2d,lat2d) |
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| 175 | if zoom: [wlon,wlat] = zoomset(wlon,wlat,zoom) |
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| 176 | elif zarea is not None: [wlon,wlat] = latinterv(area=zarea) |
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| 177 | |
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| 178 | ########################################################## |
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| 179 | ############ LOAD 4D DIMENSIONS : x, y, z, t ############# |
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| 180 | ########################################################## |
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| 181 | if typefile in ["gcm","earthgcm","ecmwf"]: |
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| 182 | if slon is not None: sslon = slon |
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| 183 | if slat is not None: sslat = slat |
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| 184 | ### LAT |
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| 185 | if "latitude" in nc.variables: lat = nc.variables["latitude"][:] |
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| 186 | elif "lat" in nc.variables: lat = nc.variables["lat"][:] |
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| 187 | ### LON |
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| 188 | if "longitude" in nc.variables: lon = nc.variables["longitude"][:] |
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| 189 | elif "lon" in nc.variables: lon = nc.variables["lon"][:] |
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| 190 | ### ALT |
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| 191 | if "altitude" in nc.variables: vert = nc.variables["altitude"][:] |
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| 192 | elif "Alt" in nc.variables: vert = nc.variables["Alt"][:] |
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| 193 | elif "lev" in nc.variables: vert = nc.variables["lev"][:] |
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| 194 | else: vert = [0.] |
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| 195 | ### AIRE (to weight means with the area) |
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| 196 | if "aire" in nc.variables: area = nc.variables["aire"][:,:] |
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| 197 | else: area = None |
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| 198 | ### TIME |
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| 199 | if "Time" in nc.variables: time = nc.variables["Time"][:] |
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| 200 | elif "time" in nc.variables: time = nc.variables["time"][:] |
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| 201 | elif "time_counter" in nc.variables: time = nc.variables["time_counter"][:]/86400. #### time counter cinverstion from s-> days |
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| 202 | else: time = [0.] #errormess("no time axis found.") |
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| 203 | if axtime in ["ls"]: |
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| 204 | print "converting to Ls ..." |
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| 205 | for iii in range(len(time)): |
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| 206 | time[iii] = sol2ls(time[iii]) # to use with timestuff |
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| 207 | if iii > 0: |
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| 208 | while abs(time[iii]-time[iii-1]) > 300: |
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| 209 | time[iii] = time[iii]+360 |
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| 210 | # for 1D plots (no need for longitude computation): |
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| 211 | if axtime in ["lt"]: |
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| 212 | if initime == -1: initime=input("Please type initial local time:") |
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| 213 | time = (initime+time*24)%24 |
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| 214 | print "LOCAL TIMES.... ", time |
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| 215 | elif typefile in ['meso','geo']: |
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| 216 | area = None ## not active for the moment |
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| 217 | ###### STUFF TO GET THE CORRECT LAT/LON FROM MESOSCALE FILES WITH 2D LAT/LON ARRAYS |
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| 218 | ###### principle: calculate correct indices then repopulate slon and slat |
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| 219 | if slon is not None or slat is not None: |
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| 220 | 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 |
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| 221 | else: iwantawhereplot = None #do not show anything, just select indices |
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| 222 | numlon = 1 ; numlat = 1 |
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| 223 | if slon is not None: numlon = slon.shape[1] |
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| 224 | if slat is not None: numlat = slat.shape[1] |
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| 225 | indices = np.ones([numlon,numlat,2]) ; vlon = None ; vlat = None |
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| 226 | for iii in range(numlon): |
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| 227 | for jjj in range(numlat): |
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| 228 | if slon is not None: vlon = slon[0][iii] ### note: slon[:][0] does not work |
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| 229 | if slat is not None: vlat = slat[0][jjj] ### note: slon[:][0] does not work |
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| 230 | indices[iii,jjj,:] = bidimfind(lon2d,lat2d,vlon,vlat,file=iwantawhereplot) |
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| 231 | lonp,latp = ( lon2d[indices[iii,jjj,0],indices[iii,jjj,1]] , lat2d[indices[iii,jjj,0],indices[iii,jjj,1]] ) |
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| 232 | ### possible bug here if several --lat |
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| 233 | for iii in range(numlon): |
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| 234 | for jjj in range(numlat): |
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| 235 | if slon is not None: sslon[0][iii] = indices[iii,0,1] #...this is idx |
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| 236 | if slat is not None: sslat[0][jjj] = indices[0,jjj,0] #...this is idy |
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| 237 | lonp,latp = ( lon2d[indices[0,0,0],indices[0,0,1]] , lat2d[indices[0,0,0],indices[0,0,1]] ) |
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| 238 | ###### |
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| 239 | if typefile in ['meso'] and mapmode == 1: lon2d = dumpbdy(lon2d,6) ; lat2d = dumpbdy(lat2d,6) ### important to do that now and not before |
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| 240 | ###### |
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| 241 | if varname in ['PHTOT','W']: vertdim='BOTTOM-TOP_PATCH_END_STAG' |
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| 242 | else: vertdim='BOTTOM-TOP_PATCH_END_UNSTAG' |
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| 243 | if (var2 is not None and var2 not in ['PHTOT','W']): dumped_vert_stag=True ; vertdim='BOTTOM-TOP_PATCH_END_UNSTAG' |
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| 244 | else: dumped_vert_stag=False |
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| 245 | if varname in ['V']: latdim='SOUTH-NORTH_PATCH_END_STAG' |
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| 246 | else: latdim='SOUTH-NORTH_PATCH_END_UNSTAG' |
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| 247 | if varname in ['U']: londim='WEST-EAST_PATCH_END_STAG' |
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| 248 | else: londim='WEST-EAST_PATCH_END_UNSTAG' |
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| 249 | lon = np.arange(0,getattr(nc,londim),1) ; lat = np.arange(0,getattr(nc,latdim),1) |
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| 250 | ### |
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| 251 | if axtime in ["ls","sol"]: |
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| 252 | lstab, soltab, lttab = getlschar ( namefile, getaxis = True ) |
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| 253 | if axtime == "ls": time = lstab |
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| 254 | elif axtime == "sol": time = soltab |
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| 255 | else: |
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| 256 | if "Times" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Times"]),1) |
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| 257 | elif "Time" in nc.dimensions: time = count + np.arange(0,len(nc.dimensions["Time"]),1) |
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| 258 | else: time = count + np.arange(0,1,1) |
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| 259 | if ope in ["cat"]: |
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| 260 | if nnn > 0: count = time[-1] + 1 ## so that a cat is possible with simple subscripts |
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| 261 | else: count = 0 |
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| 262 | else: count = 0 |
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| 263 | if axtime in ["lt"]: |
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| 264 | ftime = np.zeros(len(time)) |
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| 265 | for i in range(len(time)): |
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| 266 | ftime[i] = localtime ( interv[0]+time[i]*interv[1], 0.5*(wlon[0]+wlon[1]) ) |
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| 267 | time=ftime |
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| 268 | time=check_localtime(time) |
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| 269 | print "LOCAL TIMES.... ", time |
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| 270 | |
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| 271 | ### |
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| 272 | if typefile in ['geo']: vert = [0.] ; stime = readslices(str(0)) |
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| 273 | else: |
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| 274 | if vertmode is None: vertmode=0 |
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| 275 | if vertmode == 0: vert = np.arange(0,getattr(nc,vertdim),1) |
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| 276 | elif vertmode == -1: vert = nc.variables["PHTOT"][0,:,0,0]/3.72 ; vert = np.array(vert[0:len(vert)-1]) #; print vert |
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| 277 | elif vertmode == 1 or vertmode == 2: vert = nc.variables["vert"][:] ## pressure in Pa |
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| 278 | else: vert = nc.variables["vert"][:]/1000. ## altitude in km |
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| 279 | #if firstfile: |
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| 280 | # lat0 = lat |
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| 281 | #elif len(lat0) != len(lat): |
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| 282 | # errormess("Not the same latitude lengths !", [len(lat0), len(lat)]) |
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| 283 | #elif sum((lat == lat0) == False) != 0: |
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| 284 | # errormess("Not the same latitudes !", [lat,lat0]) |
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| 285 | ## Faire d'autre checks sur les compatibilites entre fichiers!! |
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| 286 | ########################################################## |
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| 287 | ########################################################## |
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| 288 | ########################################################## |
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| 289 | |
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| 290 | all_varname[k] = varname |
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| 291 | all_namefile[k] = namefile |
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| 292 | all_time[k] = time |
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| 293 | if var2: |
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| 294 | all_var2[k] = getfield(nc,var2) |
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| 295 | if ((var2 in ['slopexy','SLOPEXY']) and (typefile in ['meso']) and (var2 not in nc.variables)): all_var2[k] = slopeamplitude(nc) |
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| 296 | if winds: all_windu[k] = getfield(nc,uchar) ; all_windv[k] = getfield(nc,vchar) |
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| 297 | ##################### |
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| 298 | ##### GETFIELDS ##### |
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| 299 | ##################### |
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| 300 | ##### SPECIFIC CASES |
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| 301 | ##### 1. saturation temperature |
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| 302 | if varname in ["temp","t","T_nadir_nit","T_nadir_day","temp_day","temp_night"] and tsat: |
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| 303 | tt=getfield(nc,varname) ; print "computing Tsat-T, I ASSUME Z-AXIS IS PRESSURE" |
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| 304 | if type(tt).__name__=='MaskedArray': tt.set_fill_value([np.NaN]) ; tinput=tt.filled() |
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| 305 | else: tinput=tt |
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| 306 | all_var[k]=get_tsat(vert,tinput,zlon=lon,zlat=lat,zalt=vert,ztime=time) |
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| 307 | ##### 2. wind amplitude |
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| 308 | elif ((varname in ['UV','uv','uvmet']) and (typefile in ['meso']) and (varname not in nc.variables)): |
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| 309 | all_var[k]=windamplitude(nc) |
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| 310 | elif ((varname in ['slopexy','SLOPEXY']) and (typefile in ['meso']) and (varname not in nc.variables)): |
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| 311 | all_var[k]=slopeamplitude(nc) |
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| 312 | elif ((varname in ['DELTAT','deltat']) and (typefile in ['meso']) and (varname not in nc.variables)): |
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| 313 | all_var[k]=deltat0t1(nc) |
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| 314 | else: |
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| 315 | ##### GENERAL STUFF HERE |
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| 316 | all_var[k] = getfield(nc,varname) |
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| 317 | print "**** GOT SUBDATA:",k," NAMEFILE:",namefile," VAR:",varname, var2 ; k += 1 ; firstfile = False |
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| 318 | #### End of for namefile in namefiles |
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| 319 | |
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| 320 | ################################## |
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| 321 | ### Operation on files |
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| 322 | if ope is not None: |
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| 323 | print "********** OPERATION: ",ope |
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| 324 | if "var" not in ope: |
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| 325 | if len(var) > 1: errormess("for this operation... please set only one var !") |
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| 326 | if ope in ["-","+","-%"]: |
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| 327 | if fileref is not None: |
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| 328 | ncref = Dataset(fileref) |
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| 329 | if ((all_varname[k-1] in ['UV','uv','uvmet']) and (typefile in ['meso']) and (all_varname[k-1] not in ncref.variables)): |
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| 330 | all_var[k] = windamplitude(ncref) |
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| 331 | elif ((all_varname[k-1] in ['slopexy','SLOPEXY']) and (typefile in ['meso']) and (all_varname[k-1] not in ncref.variables)): |
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| 332 | all_var[k] = slopeamplitude(ncref) |
|---|
| 333 | elif ((all_varname[k-1] in ['DELTAT','deltat']) and (typefile in ['meso']) and (all_varname[k-1] not in ncref.variables)): |
|---|
| 334 | all_var[k]=deltat0t1(ncref) |
|---|
| 335 | else: |
|---|
| 336 | all_var[k] = getfield(ncref,all_varname[k-1]) |
|---|
| 337 | 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] |
|---|
| 338 | if winds: all_windu[k] = getfield(ncref,uchar) ; all_windv[k] = getfield(ncref,vchar) |
|---|
| 339 | else: errormess("fileref is missing!") |
|---|
| 340 | if ope == "-": all_var[k+1]= all_var[k-1] - all_var[k] |
|---|
| 341 | elif ope == "+": all_var[k+1]= all_var[k-1] + all_var[k] |
|---|
| 342 | elif ope == "-%": |
|---|
| 343 | masked = np.ma.masked_where(all_var[k] == 0,all_var[k]) |
|---|
| 344 | masked.set_fill_value([np.NaN]) |
|---|
| 345 | all_var[k+1]= 100.*(all_var[k-1] - masked)/masked |
|---|
| 346 | 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 |
|---|
| 347 | if winds: all_windu[k+1] = all_windu[k-1]-all_windu[k] ; all_windv[k+1] = all_windv[k-1] - all_windv[k] |
|---|
| 348 | elif ope in ["cat"]: |
|---|
| 349 | tabtime = all_time[0];tab = all_var[0];k = 1 |
|---|
| 350 | if var2: tab2 = all_var2[0] |
|---|
| 351 | while k != len(namefiles) and len(all_time[k]) != 0: |
|---|
| 352 | if var2: tab2 = np.append(tab2,all_var2[k],axis=0) |
|---|
| 353 | tabtime = np.append(tabtime,all_time[k]) ; tab = np.append(tab,all_var[k],axis=0) ; k += 1 |
|---|
| 354 | all_time[0] = np.array(tabtime) ; all_var[0] = np.array(tab) ; numplot = 1 |
|---|
| 355 | if var2: all_var2[0] = np.array(tab2) |
|---|
| 356 | else: errormess(ope+" : non-implemented operation. Check pp.py --help") |
|---|
| 357 | else: |
|---|
| 358 | if len(namefiles) > 1: errormess("for this operation... please set only one file !") |
|---|
| 359 | if len(var) > 2: errormess("not sure this works for more than 2 vars... please check.") |
|---|
| 360 | if ope in ["div_var"]: all_var[k] = all_var[k-2] / all_var[k-1] ; insert = '_div_' |
|---|
| 361 | elif ope in ["mul_var"]: all_var[k] = all_var[k-2] * all_var[k-1] ; insert = '_mul_' |
|---|
| 362 | elif ope in ["add_var"]: all_var[k] = all_var[k-2] + all_var[k-1] ; insert = '_add_' |
|---|
| 363 | elif ope in ["sub_var"]: all_var[k] = all_var[k-2] - all_var[k-1] ; insert = '_sub_' |
|---|
| 364 | else: errormess(ope+" : non-implemented operation. Check pp.py --help") |
|---|
| 365 | numplot = numplot + 1 ; all_time[k] = all_time[k-1] ; all_namefile[k] = all_namefile[k-1] |
|---|
| 366 | all_varname[k] = all_varname[k-2] + insert + all_varname[k-1] |
|---|
| 367 | ################################## |
|---|
| 368 | ### Open a figure and set subplots |
|---|
| 369 | fig = figure() |
|---|
| 370 | subv,subh = definesubplot( numplot, fig ) |
|---|
| 371 | if ope in ['-','-%']: subv,subh = 2,2 |
|---|
| 372 | |
|---|
| 373 | ################################# |
|---|
| 374 | ### Time loop for plotting device |
|---|
| 375 | nplot = 1 ; error = False |
|---|
| 376 | if lstyle is not None: linecycler = cycle(lstyle) |
|---|
| 377 | else: linecycler = cycle(["-","--","-.",":"]) |
|---|
| 378 | print "********************************************" |
|---|
| 379 | while error is False: |
|---|
| 380 | |
|---|
| 381 | print "********** NPLOT", nplot |
|---|
| 382 | if nplot > numplot: break |
|---|
| 383 | |
|---|
| 384 | #################################################################### |
|---|
| 385 | ## get all indexes to be taken into account for this subplot and then reduce field |
|---|
| 386 | ## 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 |
|---|
| 387 | indexlon = getsindex(sslon,(nplot-1)%nlon,lon) |
|---|
| 388 | indexlat = getsindex(sslat,((nplot-1)//nlon)%nlat,lat) |
|---|
| 389 | indexvert = getsindex(svert,((nplot-1)//(nlon*nlat))%nvert,vert) |
|---|
| 390 | if ope is not None: |
|---|
| 391 | 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 |
|---|
| 392 | elif "var" in ope: index_f = ((nplot-1)//(nlon*nlat*nvert*ntime))%(len(var)+1) ## OK only 1 file, see test in the beginning |
|---|
| 393 | elif "cat" in ope: index_f = 0 |
|---|
| 394 | else: yeah = len(namefiles)*len(var) ; index_f = ((nplot-1)//(nlon*nlat*nvert*ntime))%yeah |
|---|
| 395 | time = all_time[index_f] |
|---|
| 396 | if mrate is not None: indextime = None |
|---|
| 397 | else: indextime = getsindex(stime,((nplot-1)//(nlon*nlat*nvert))%ntime,time) |
|---|
| 398 | ltst = None |
|---|
| 399 | if typefile in ['meso'] and indextime is not None: ltst = localtime ( interv[0]+indextime*interv[1], 0.5*(wlon[0]+wlon[1]) ) |
|---|
| 400 | print "********** INDEX LON:",indexlon," LAT:",indexlat," VERT:",indexvert," TIME:",indextime |
|---|
| 401 | ##var = nc.variables["phisinit"][:,:] |
|---|
| 402 | ##contourf(np.transpose(var),30,cmap = get_cmap(name="Greys_r") ) ; axis('off') ; plot(indexlat,indexlon,'mx',mew=4.0,ms=20.0) |
|---|
| 403 | ##show() |
|---|
| 404 | ##exit() |
|---|
| 405 | #truc = True |
|---|
| 406 | #truc = False |
|---|
| 407 | #if truc: indexvert = None |
|---|
| 408 | #################################################################### |
|---|
| 409 | ########## REDUCE FIELDS |
|---|
| 410 | #################################################################### |
|---|
| 411 | error = False |
|---|
| 412 | varname = all_varname[index_f] |
|---|
| 413 | if varname: ### what is shaded. |
|---|
| 414 | what_I_plot, error = reducefield( all_var[index_f], d4=indextime, d1=indexlon, d2=indexlat, d3=indexvert, \ |
|---|
| 415 | yint=yintegral, alt=vert, anomaly=anomaly, redope=redope, mesharea=area ) |
|---|
| 416 | if mult != 2718.: what_I_plot = what_I_plot*mult |
|---|
| 417 | else: what_I_plot = np.log10(what_I_plot) ; print "log plot" |
|---|
| 418 | |
|---|
| 419 | if var2: ### what is contoured. |
|---|
| 420 | what_I_plot_contour, error = reducefield( all_var2[index_f], d4=indextime, d1=indexlon, d2=indexlat , d3=indexvert, \ |
|---|
| 421 | yint=yintegral, alt=vert ) |
|---|
| 422 | if winds: ### what is plot as vectors. |
|---|
| 423 | vecx, error = reducefield( all_windu[index_f], d4=indextime, d3=indexvert, yint=yintegral, alt=vert) |
|---|
| 424 | vecy, error = reducefield( all_windv[index_f], d4=indextime, d3=indexvert, yint=yintegral, alt=vert) |
|---|
| 425 | if varname in [uchar,vchar]: what_I_plot = np.sqrt( np.square(vecx) + np.square(vecy) ) ; varname = "wind" |
|---|
| 426 | |
|---|
| 427 | ##################################################################### |
|---|
| 428 | #if truc: |
|---|
| 429 | # nx = what_I_plot.shape[2] ; ny = what_I_plot.shape[1] ; nz = what_I_plot.shape[0] |
|---|
| 430 | # for k in range(nz): print k,' over ',nz ; what_I_plot[k,:,:] = what_I_plot[k,:,:] / smooth(what_I_plot[k,:,:],12) |
|---|
| 431 | # for iii in range(nx): |
|---|
| 432 | # for jjj in range(ny): |
|---|
| 433 | # deviation = what_I_plot[:,jjj,iii] ; mx = max(deviation) ; mn = min(deviation) |
|---|
| 434 | # 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 |
|---|
| 435 | # else: what_I_plot[0,jjj,iii] = 0. |
|---|
| 436 | # if np.abs(what_I_plot[0,jjj,iii]) > 1.5: |
|---|
| 437 | # print iii,jjj,what_I_plot[0,jjj,iii],int(abs(1.-mx)*100.),int(abs(1.-mn)*100.) |
|---|
| 438 | # plot(rel) |
|---|
| 439 | # show() |
|---|
| 440 | # anomaly = True ### pour avoir les bons reglages plots |
|---|
| 441 | # what_I_plot = what_I_plot[0,:,:] |
|---|
| 442 | ##################################################################### |
|---|
| 443 | |
|---|
| 444 | #################################################################### |
|---|
| 445 | ### General plot settings |
|---|
| 446 | changesubplot = (numplot > 1) and (len(what_I_plot.shape) != 1) ## default for 1D plots: superimposed. to be reworked for better flexibility. |
|---|
| 447 | if changesubplot: subplot(subv,subh,nplot) #; subplots_adjust(wspace=0,hspace=0) |
|---|
| 448 | #################################################################### |
|---|
| 449 | if error: |
|---|
| 450 | errormess("There is an error in reducing field !") |
|---|
| 451 | else: |
|---|
| 452 | ticks = ndiv + 1 |
|---|
| 453 | fvar = varname |
|---|
| 454 | if anomaly: fvar = 'anomaly' |
|---|
| 455 | ### |
|---|
| 456 | if mapmode == 0: ### could this be moved inside imov loop ? |
|---|
| 457 | itime=indextime |
|---|
| 458 | if len(what_I_plot.shape) == 3: itime=[0] |
|---|
| 459 | m = None ; x = None ; y = None |
|---|
| 460 | latyeah = lat ; lonyeah = lon |
|---|
| 461 | if typefile in ['meso']: |
|---|
| 462 | # now that the section is determined we can set the real lat |
|---|
| 463 | # ... or for now, a temptative one. |
|---|
| 464 | if slon is not None: latyeah = lat2d[:,0] |
|---|
| 465 | if slat is not None: lonyeah = lon2d[0,:] |
|---|
| 466 | what_I_plot, x, y = define_axis(lonyeah,latyeah,vert,time,indexlon,indexlat,indexvert,\ |
|---|
| 467 | itime,what_I_plot, len(all_var[index_f].shape),vertmode) |
|---|
| 468 | ### |
|---|
| 469 | if (fileref is not None) and (index_f == numplot-1): zevmin, zevmax = calculate_bounds(what_I_plot,vmin=minop,vmax=maxop) |
|---|
| 470 | else: zevmin, zevmax = calculate_bounds(what_I_plot,vmin=vmin,vmax=vmax) |
|---|
| 471 | if (fileref is not None) and (index_f == numplot-1): colorb = "RdBu_r" |
|---|
| 472 | if colorb in ["def","nobar","onebar"]: palette = get_cmap(name=defcolorb(fvar.upper())) |
|---|
| 473 | else: palette = get_cmap(name=colorb) |
|---|
| 474 | #palette = cm.GMT_split |
|---|
| 475 | ##### 1. ELIMINATE 0D or >3D CASES |
|---|
| 476 | if len(what_I_plot.shape) == 0: |
|---|
| 477 | print "VALUE VALUE VALUE VALUE ::: ",what_I_plot |
|---|
| 478 | save = 'donothing' |
|---|
| 479 | elif len(what_I_plot.shape) >= 4: |
|---|
| 480 | print "WARNING!!! ",len(what_I_plot.shape),"-D PLOT NOT SUPPORTED !!! dimensions: ",what_I_plot.shape |
|---|
| 481 | errormess("Are you sure you did not forget to prescribe a dimension ?") |
|---|
| 482 | ##### 2. HANDLE simple 1D/2D field and movies of 1D/2D fields |
|---|
| 483 | else: |
|---|
| 484 | if mrate is not None: iend=len(time)-1 |
|---|
| 485 | else: iend=0 |
|---|
| 486 | imov = 0 |
|---|
| 487 | if len(what_I_plot.shape) == 3: |
|---|
| 488 | if var2: which = "contour" ## have to start with contours rather than shading |
|---|
| 489 | else: which = "regular" |
|---|
| 490 | if mrate is None: errormess("3D field. Use --rate RATE for movie or specify --time TIME. Exit.") |
|---|
| 491 | elif len(what_I_plot.shape) == 2: |
|---|
| 492 | if var2: which = "contour" ## have to start with contours rather than shading |
|---|
| 493 | else: which = "regular" |
|---|
| 494 | if mrate is not None: which = "unidim" |
|---|
| 495 | elif len(what_I_plot.shape) == 1: |
|---|
| 496 | which = "unidim" |
|---|
| 497 | if what_I_plot.shape[-1] == 1: print "VALUE VALUE VALUE VALUE ::: ", what_I_plot[0] ; save = 'donothing' |
|---|
| 498 | ##### IMOV LOOP #### IMOV LOOP |
|---|
| 499 | while imov <= iend: |
|---|
| 500 | print "-> frame ",imov+1, which |
|---|
| 501 | if which == "regular": |
|---|
| 502 | if mrate is None: what_I_plot_frame = what_I_plot |
|---|
| 503 | else: what_I_plot_frame = what_I_plot[imov,:,:] |
|---|
| 504 | if winds: |
|---|
| 505 | if mrate is None: vecx_frame = vecx ; vecy_frame = vecy |
|---|
| 506 | else: vecx_frame = vecx[imov,:,:] ; vecy_frame = vecy[imov,:,:] |
|---|
| 507 | elif which == "contour": |
|---|
| 508 | if mrate is None or what_I_plot_contour.ndim < 3: what_I_plot_frame = what_I_plot_contour |
|---|
| 509 | else: what_I_plot_frame = what_I_plot_contour[imov,:,:] |
|---|
| 510 | elif which == "unidim": |
|---|
| 511 | if mrate is None: what_I_plot_frame = what_I_plot |
|---|
| 512 | else: what_I_plot_frame = what_I_plot[:,imov] ## because swapaxes |
|---|
| 513 | #if mrate is not None: |
|---|
| 514 | if mapmode == 1: |
|---|
| 515 | m = define_proj(proj,wlon,wlat,back=back,blat=blat,blon=blon) ## this is dirty, defined above but out of imov loop |
|---|
| 516 | x, y = m(lon2d, lat2d) ## this is dirty, defined above but out of imov loop |
|---|
| 517 | if typefile in ['meso'] and mapmode == 1: what_I_plot_frame = dumpbdy(what_I_plot_frame,6,condition=True) |
|---|
| 518 | # if typefile in ['mesoideal']: what_I_plot_frame = dumpbdy(what_I_plot_frame,0,stag='W',condition=dumped_vert_stag) |
|---|
| 519 | |
|---|
| 520 | if which == "unidim": |
|---|
| 521 | if lbls is not None: lbl=lbls[nplot-1] |
|---|
| 522 | else: |
|---|
| 523 | lbl = "" |
|---|
| 524 | if indexlat is not None: lbl = lbl + " ix" + str(indexlat[0]) |
|---|
| 525 | if indexlon is not None: lbl = lbl + " iy" + str(indexlon[0]) |
|---|
| 526 | if indexvert is not None: lbl = lbl + " iz" + str(indexvert[0]) |
|---|
| 527 | if indextime is not None: lbl = lbl + " it" + str(indextime[0]) |
|---|
| 528 | if lbl == "": lbl = all_namefile[index_f] |
|---|
| 529 | |
|---|
| 530 | if mrate is not None: x = y ## because swapaxes... |
|---|
| 531 | #what_I_plot_frame = np.diff(what_I_plot_frame, n=1) ; x = x[1:] |
|---|
| 532 | |
|---|
| 533 | zeline = next(linecycler) ## "-" for simple lines |
|---|
| 534 | if tile: zemarker = 'x' |
|---|
| 535 | else: zemarker = None |
|---|
| 536 | this_is_a_regular_plot = (indexvert is not None) or (indextime is None) or (indexlat is None) or (indexlon is None) |
|---|
| 537 | if this_is_a_regular_plot: plot(x,what_I_plot_frame,zeline,label=lbl,marker=zemarker) ## vertical profile |
|---|
| 538 | else: plot(what_I_plot_frame,x,zeline,label=lbl,marker=zemarker) ## regular plot |
|---|
| 539 | if nplot > 1: legend(loc='best') |
|---|
| 540 | if indextime is None and axtime is not None and xlab is None: xlabel(axtime.upper()) ## define the right label |
|---|
| 541 | if save == 'txt': writeascii(np.transpose([x,np.transpose(what_I_plot)]),'profile'+str(nplot*1000+imov)+'.txt') |
|---|
| 542 | |
|---|
| 543 | elif which == "regular": |
|---|
| 544 | |
|---|
| 545 | # plot stream lines if there is a stream file and a vert/lat slice. Might not work with movies ?? |
|---|
| 546 | if streamflag and sslat is None and svert is None: |
|---|
| 547 | streamfile = all_namefile[index_f].replace('.nc','_stream.nc') |
|---|
| 548 | teststream = os.path.exists(streamfile) |
|---|
| 549 | if teststream: |
|---|
| 550 | print 'INFO: Using stream file',streamfile, 'for stream lines' |
|---|
| 551 | ncstream = Dataset(streamfile) |
|---|
| 552 | psi = getfield(ncstream,'psi') |
|---|
| 553 | psi = psi[0,:,:,0] # time and longitude are dummy dimensions |
|---|
| 554 | if psi.shape[1] != len(x) or psi.shape[0] != len(y): |
|---|
| 555 | errormess('stream file does not fit! Dimensions: '+str(psi.shape)+' '+str(x.shape)+' '+str(y.shape)) |
|---|
| 556 | zelevels = np.arange(-1.e10,1.e10,1.e9) |
|---|
| 557 | zemin = np.min(abs(zelevels)) |
|---|
| 558 | zemax = np.max(abs(zelevels)) |
|---|
| 559 | zewidth = (abs(zelevels)-zemin)*(5.- 0.5)/(zemax - zemin) + 0.5 # linewidth ranges from 5 to 0.5 |
|---|
| 560 | cs = contour( x,y,psi, zelevels, colors='k', linewidths = zewidth) |
|---|
| 561 | clabel(cs, inline=True, fontsize = 4.*rcParams['font.size']/5., fmt="%1.1e") |
|---|
| 562 | else: |
|---|
| 563 | print 'WARNING: STREAM FILE',streamfile, 'DOES NOT EXIST !' |
|---|
| 564 | |
|---|
| 565 | if hole: what_I_plot_frame = hole_bounds(what_I_plot_frame,zevmin,zevmax) |
|---|
| 566 | else: what_I_plot_frame = bounds(what_I_plot_frame,zevmin,zevmax) |
|---|
| 567 | if flagnolow: what_I_plot_frame = nolow(what_I_plot_frame) |
|---|
| 568 | if not tile: |
|---|
| 569 | #zelevels = np.linspace(zevmin*(1. + 1.e-7),zevmax*(1. - 1.e-7)) #,num=20) |
|---|
| 570 | zelevels = np.linspace(zevmin,zevmax,num=ticks) |
|---|
| 571 | #what_I_plot_frame = smooth(what_I_plot_frame,100) |
|---|
| 572 | if mapmode == 1: m.contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans) |
|---|
| 573 | elif mapmode == 0: contourf( x, y, what_I_plot_frame, zelevels, cmap = palette, alpha=trans) |
|---|
| 574 | if cross is not None and mapmode == 1: |
|---|
| 575 | idx,idy=m(cross[0][0],cross[0][1]) |
|---|
| 576 | mpl.pyplot.plot([idx],[idy],'+k',mew=0.5,ms=18) |
|---|
| 577 | else: |
|---|
| 578 | if mapmode == 1: m.pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans) |
|---|
| 579 | elif mapmode == 0: pcolor( x, y, what_I_plot_frame, cmap = palette, vmin=zevmin, vmax=zevmax, alpha=trans) |
|---|
| 580 | |
|---|
| 581 | |
|---|
| 582 | if colorb not in ['nobar','onebar']: |
|---|
| 583 | if (fileref is not None) and (index_f == numplot-1): daformat = "%.3f" |
|---|
| 584 | elif mult != 1: daformat = "%.1f" |
|---|
| 585 | else: daformat = fmtvar(fvar.upper()) |
|---|
| 586 | #if proj in ['moll','cyl']: zeorientation="horizontal" ; zepad = 0.05 |
|---|
| 587 | if proj in ['moll']: zeorientation="horizontal" ; zepad = 0.05 |
|---|
| 588 | else: zeorientation="vertical" ; zepad = 0.03 |
|---|
| 589 | zecb = colorbar( fraction=0.05,pad=zepad,format=daformat,orientation=zeorientation,\ |
|---|
| 590 | ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional' ) |
|---|
| 591 | if zeorientation == "horizontal" and zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]="" |
|---|
| 592 | if winds: |
|---|
| 593 | if typefile in ['meso']: |
|---|
| 594 | [vecx_frame,vecy_frame] = [dumpbdy(vecx_frame,6,stag=uchar,condition=True), dumpbdy(vecy_frame,6,stag=vchar,condition=True)] |
|---|
| 595 | key = True |
|---|
| 596 | if fvar in ['UV','uv','uvmet']: key = False |
|---|
| 597 | elif typefile in ['gcm']: |
|---|
| 598 | key = False |
|---|
| 599 | if metwind and mapmode == 1: [vecx_frame,vecy_frame] = m.rotate_vector(vecx_frame, vecy_frame, lon2d, lat2d) |
|---|
| 600 | if var: colorvec = definecolorvec(colorb) |
|---|
| 601 | else: colorvec = definecolorvec(back) |
|---|
| 602 | vectorfield(vecx_frame, vecy_frame, x, y, stride=stride, csmooth=2,\ |
|---|
| 603 | #scale=15., factor=300., color=colorvec, key=key) |
|---|
| 604 | scale=20., factor=250., color=colorvec, key=key) |
|---|
| 605 | #200. ## or csmooth=stride |
|---|
| 606 | if ope == '-' and nplot == numplot: # this should work as long as ope is '-' guarantees 3 plots for 4 panels without contour |
|---|
| 607 | subplot(subv,subh,nplot+1) |
|---|
| 608 | rcParams["legend.fontsize"] = 'xx-large' |
|---|
| 609 | if indexlat is None: |
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| 610 | latmin = -50.; latmax = 50. # latitude range for histogram of difference |
|---|
| 611 | zeindexlat = (lat<latmax)*(lat>latmin) |
|---|
| 612 | # this follows the define_axis logic in myplot.py: |
|---|
| 613 | if indextime is None or indexlon is None: what_I_plot_frame = what_I_plot_frame[zeindexlat,:] |
|---|
| 614 | else: what_I_plot_frame = what_I_plot_frame[:,zeindexlat] |
|---|
| 615 | toplot = np.ravel(what_I_plot_frame[np.isnan(what_I_plot_frame)==False]) |
|---|
| 616 | zebins = np.linspace(zevmin,zevmax,num=30) |
|---|
| 617 | hist(toplot,bins=zebins,histtype='step',linewidth=2,color='k',normed=True) |
|---|
| 618 | zestd = np.std(toplot);zemean = np.mean(toplot) |
|---|
| 619 | zebins = np.linspace(zevmin,zevmax,num=300) |
|---|
| 620 | zegauss = (1./(zestd * np.sqrt(2 * np.pi)) * np.exp( - (zebins - zemean)**2 / (2 * zestd**2) ) ) |
|---|
| 621 | plot(zebins, zegauss, linewidth=1, color='r',label="mean: "+str(zemean)[0:5]+"\nstd: "+str(zestd)[0:5]) |
|---|
| 622 | legend(loc=0,frameon=False) |
|---|
| 623 | title("Histogram fig(1) "+ope+" fig(2)") |
|---|
| 624 | subplot(subv,subh,nplot) # go back to last plot for title of contour difference |
|---|
| 625 | |
|---|
| 626 | elif which == "contour": |
|---|
| 627 | zevminc, zevmaxc = calculate_bounds(what_I_plot_frame, vmin=min(what_I_plot_frame), vmax=max(what_I_plot_frame)) |
|---|
| 628 | zelevels = np.linspace(zevminc,zevmaxc,ticks/2) #20) |
|---|
| 629 | if var2 == 'HGT': zelevels = np.arange(-10000.,30000.,1000.) |
|---|
| 630 | elif var2 == 'tpot': zelevels = np.arange(270,370,5) |
|---|
| 631 | elif var2 == 'tk': zelevels = np.arange(150,250,5) |
|---|
| 632 | if mapmode == 0: |
|---|
| 633 | what_I_plot_frame, x, y = define_axis( lonyeah,latyeah,vert,time,indexlon,indexlat,indexvert,\ |
|---|
| 634 | itime,what_I_plot_frame, len(all_var2[index_f].shape),vertmode ) |
|---|
| 635 | ## is this needed? only if len(all_var2[index_f].shape) != len(all_var[index_f].shape) |
|---|
| 636 | cs = contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33)#, alpha=0.5, linestyles='solid') |
|---|
| 637 | clabel(cs, inline=1, fontsize = 4.*rcParams['font.size']/5., fmt=fmtvar(var2.upper())) |
|---|
| 638 | elif mapmode == 1: cs = m.contour( x,y,what_I_plot_frame, zelevels, colors='k', linewidths = 0.33)#, alpha=0.5, linestyles='solid') |
|---|
| 639 | if which in ["regular","unidim"]: |
|---|
| 640 | |
|---|
| 641 | if nplot > 1 and which == "unidim": |
|---|
| 642 | pass ## because we superimpose nplot instances |
|---|
| 643 | else: |
|---|
| 644 | # Axis directives for movie frames [including the first one). |
|---|
| 645 | zxmin, zxmax = xaxis ; zymin, zymax = yaxis |
|---|
| 646 | if zxmin is not None: mpl.pyplot.xlim(xmin=zxmin) |
|---|
| 647 | if zxmax is not None: mpl.pyplot.xlim(xmax=zxmax) |
|---|
| 648 | if zymin is not None: mpl.pyplot.ylim(ymin=zymin) |
|---|
| 649 | if zymax is not None: mpl.pyplot.ylim(ymax=zymax) |
|---|
| 650 | if ylog: mpl.pyplot.semilogy() |
|---|
| 651 | if invert_y: ax = mpl.pyplot.gca() ; ax.set_ylim(ax.get_ylim()[::-1]) |
|---|
| 652 | if xlab is not None: xlabel(xlab) |
|---|
| 653 | if ylab is not None: ylabel(ylab) |
|---|
| 654 | |
|---|
| 655 | if mrate is not None: |
|---|
| 656 | ### THIS IS A MENCODER MOVIE |
|---|
| 657 | if mrate > 0: |
|---|
| 658 | figframe=mpl.pyplot.gcf() |
|---|
| 659 | if mquality: figframe.set_dpi(600.) |
|---|
| 660 | else: figframe.set_dpi(200.) |
|---|
| 661 | mframe=fig2img(figframe) |
|---|
| 662 | if imov == 0: |
|---|
| 663 | moviename='movie' ;W,H = figframe.canvas.get_width_height() |
|---|
| 664 | video = VideoSink((H,W), moviename, rate=mrate, byteorder="rgba") |
|---|
| 665 | video.run(mframe) ; close() |
|---|
| 666 | if imov == iend: video.close() |
|---|
| 667 | ### THIS IS A WEBPAGE MOVIE |
|---|
| 668 | else: |
|---|
| 669 | nameframe = "image"+str(1000+imov) |
|---|
| 670 | makeplotres(nameframe,res=100.,disp=False) ; close() |
|---|
| 671 | if imov == 0: myfile = open("zepics", 'w') |
|---|
| 672 | myfile.write("modImages["+str(imov)+"] = '"+nameframe+"_100.png';"+ '\n') |
|---|
| 673 | if imov == iend: |
|---|
| 674 | myfile.write("first_image = 0;"+ '\n') |
|---|
| 675 | myfile.write("last_image = "+str(iend)+";"+ '\n') |
|---|
| 676 | myfile.close() |
|---|
| 677 | if var2 and which == "regular": which = "contour" |
|---|
| 678 | imov = imov+1 |
|---|
| 679 | elif which == "contour": |
|---|
| 680 | which = "regular" |
|---|
| 681 | |
|---|
| 682 | ### Next subplot |
|---|
| 683 | zevarname = varname |
|---|
| 684 | if redope is not None: zevarname = zevarname + "_" + redope |
|---|
| 685 | basename = getname(var=zevarname,var2=var2,winds=winds,anomaly=anomaly) |
|---|
| 686 | if len(what_I_plot.shape) > 3: |
|---|
| 687 | basename = basename + getstralt(nc,level) |
|---|
| 688 | if mrate is not None: basename = "movie_" + basename |
|---|
| 689 | if typefile in ['meso']: |
|---|
| 690 | if sslon is not None: basename = basename + "_lon_" + str(int(round(lonp))) |
|---|
| 691 | if sslat is not None: basename = basename + "_lat_" + str(int(round(latp))) |
|---|
| 692 | plottitle = basename |
|---|
| 693 | ### dans le nouveau systeme time=ls,sol,lt cette ligne pourrait ne servir a rien (ou deplacer au dessus) |
|---|
| 694 | if addchar and indextime is not None: [addchar,gogol,gogol2] = getlschar ( all_namefile[index_f] ) ; plottitle = plottitle + addchar |
|---|
| 695 | ### en fait redope is None doit etre remplace par : n'est ni maxt ni mint |
|---|
| 696 | if redope is None and ltst is not None and ( (mapmode == 0) or (proj in ["lcc","laea","merc","nsper"]) ): plottitle = plottitle + "_LT" + str(ltst) |
|---|
| 697 | else: |
|---|
| 698 | if fileref is not None: |
|---|
| 699 | if index_f is numplot-1: plottitle = basename+' '+"fig(1) "+ope+" fig(2)" |
|---|
| 700 | elif index_f is numplot-2: plottitle = basename+' '+fileref |
|---|
| 701 | else: plottitle = basename+' '+all_namefile[index_f] |
|---|
| 702 | else: plottitle = basename+' '+all_namefile[index_f] |
|---|
| 703 | if mult != 1: plottitle = '{:.0e}'.format(mult) + "*" + plottitle |
|---|
| 704 | if zetitle[0] != "fill": |
|---|
| 705 | if index_f < len(zetitle): plottitle = zetitle[index_f] |
|---|
| 706 | else: plottitle = zetitle[0] |
|---|
| 707 | if titleref is "fill": titleref=zetitle[index_f] |
|---|
| 708 | if fileref is not None: |
|---|
| 709 | if index_f is numplot-2: plottitle = titleref |
|---|
| 710 | if index_f is numplot-1: plottitle = "fig(1) "+ope+" fig(2)" |
|---|
| 711 | # if indexlon is not None: plottitle = plottitle + " lon: " + str(min(lon[indexlon])) +" "+ str(max(lon[indexlon])) |
|---|
| 712 | # if indexlat is not None: plottitle = plottitle + " lat: " + str(min(lat[indexlat])) +" "+ str(max(lat[indexlat])) |
|---|
| 713 | # if indexvert is not None: plottitle = plottitle + " vert: " + str(min(vert[indexvert])) +" "+ str(max(vert[indexvert])) |
|---|
| 714 | # if indextime is not None: plottitle = plottitle + " time: " + str(min(time[indextime])) +" "+ str(max(time[indextime])) |
|---|
| 715 | if colorb != "onebar": title( plottitle ) |
|---|
| 716 | if nplot >= numplot: error = True |
|---|
| 717 | nplot += 1 |
|---|
| 718 | |
|---|
| 719 | if colorb == "onebar": |
|---|
| 720 | cax = axes([0.1, 0.2, 0.8, 0.03]) # a ameliorer |
|---|
| 721 | zecb = colorbar(cax=cax, orientation="horizontal", format=fmtvar(fvar.upper()),\ |
|---|
| 722 | ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21])),extend='neither',spacing='proportional') |
|---|
| 723 | if zetitle[0] != "fill": zecb.ax.set_xlabel(zetitle[index_f]) ; zetitle[index_f]="" |
|---|
| 724 | |
|---|
| 725 | |
|---|
| 726 | ########################################################################## |
|---|
| 727 | ### Save the figure in a file in the data folder or an user-defined folder |
|---|
| 728 | if outputname is None: |
|---|
| 729 | if typefile in ['meso']: prefix = getprefix(nc) |
|---|
| 730 | elif typefile in ['gcm']: prefix = 'LMD_GCM_' |
|---|
| 731 | else: prefix = '' |
|---|
| 732 | ### |
|---|
| 733 | zeplot = prefix + basename |
|---|
| 734 | if addchar: zeplot = zeplot + addchar |
|---|
| 735 | if numplot <= 0: zeplot = zeplot + "_LT"+str(abs(numplot)) |
|---|
| 736 | ### |
|---|
| 737 | if not target: zeplot = namefile[0:find(namefile,'wrfout')] + zeplot |
|---|
| 738 | else: zeplot = target + "/" + zeplot |
|---|
| 739 | ### |
|---|
| 740 | else: |
|---|
| 741 | zeplot=outputname |
|---|
| 742 | |
|---|
| 743 | if mrate is None: |
|---|
| 744 | pad_inches_value = 0.35 |
|---|
| 745 | print "********** SAVE ", save |
|---|
| 746 | if save == 'png': |
|---|
| 747 | if display: makeplotres(zeplot,res=100.,pad_inches_value=pad_inches_value) #,erase=True) ## a miniature |
|---|
| 748 | makeplotres(zeplot,res=resolution,pad_inches_value=pad_inches_value,disp=False) |
|---|
| 749 | elif save in ['eps','svg','pdf']: makeplotres(zeplot,pad_inches_value=pad_inches_value,disp=False,ext=save) |
|---|
| 750 | elif save == 'gui': show() |
|---|
| 751 | elif save == 'donothing': pass |
|---|
| 752 | elif save == 'txt': print "Saved results in txt file." |
|---|
| 753 | else: |
|---|
| 754 | print "INFO: save mode not supported. using gui instead." |
|---|
| 755 | show() |
|---|
| 756 | |
|---|
| 757 | ################################### |
|---|
| 758 | #### Getting more out of this video -- PROBLEMS WITH CREATED VIDEOS |
|---|
| 759 | # |
|---|
| 760 | #if mrate is not None: |
|---|
| 761 | # print "Re-encoding movie.. first pass" |
|---|
| 762 | # video.first_pass(filename=moviename,quality=mquality,rate=mrate) |
|---|
| 763 | # print "Re-encoding movie.. second pass" |
|---|
| 764 | # video.second_pass(filename=moviename,quality=mquality,rate=mrate) |
|---|
| 765 | |
|---|
| 766 | ############### |
|---|
| 767 | ### Now the end |
|---|
| 768 | return zeplot |
|---|
