| 1 | #!/usr/bin/env python |
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| 2 | |
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| 3 | ### A. Spiga -- LMD -- 30/06/2011 to 10/07/2011 |
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| 4 | ### Thanks to A. Colaitis for the parser trick |
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| 5 | |
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| 6 | |
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| 7 | #################################### |
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| 8 | #################################### |
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| 9 | ### The main program to plot vectors |
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| 10 | def winds (namefile,\ |
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| 11 | nvert,\ |
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| 12 | proj=None,\ |
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| 13 | back=None,\ |
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| 14 | target=None, |
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| 15 | stride=3,\ |
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| 16 | numplot=4,\ |
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| 17 | var=None,\ |
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| 18 | colorb=True,\ |
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| 19 | winds=True,\ |
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| 20 | addchar=None,\ |
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| 21 | interv=[0,1],\ |
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| 22 | vmin=None,\ |
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| 23 | vmax=None,\ |
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| 24 | tile=False,\ |
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| 25 | zoom=None): |
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| 26 | |
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| 27 | #################################################################################################################### |
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| 28 | ### Colorbars http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps?action=AttachFile&do=get&target=colormaps3.png |
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| 29 | |
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| 30 | ################################# |
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| 31 | ### Load librairies and functions |
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| 32 | from netCDF4 import Dataset |
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| 33 | from myplot import getcoord2d,define_proj,makeplotpng,simplinterv,vectorfield,ptitle,latinterv,getproj,wrfinterv,dumpbdy,\ |
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| 34 | fmtvar,definecolorvec,getwinds,defcolorb,getprefix |
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| 35 | from mymath import deg,max,min,mean |
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| 36 | from matplotlib.pyplot import contour,contourf, subplot, figure, rcParams, savefig, colorbar, pcolor |
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| 37 | from matplotlib.cm import get_cmap |
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| 38 | import numpy as np |
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| 39 | from numpy.core.defchararray import find |
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| 40 | |
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| 41 | ### |
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| 42 | #rcParams['text.usetex'] = True |
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| 43 | #rcParams['cairo.format'] = 'svg' |
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| 44 | |
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| 45 | ###################### |
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| 46 | ### Load NETCDF object |
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| 47 | nc = Dataset(namefile) |
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| 48 | |
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| 49 | ################################### |
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| 50 | ### Recognize predefined file types |
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| 51 | if 'controle' in nc.variables: typefile = 'gcm' |
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| 52 | elif 'vert' in nc.variables: typefile = 'mesoapi' |
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| 53 | elif 'U' in nc.variables: typefile = 'meso' |
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| 54 | else: |
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| 55 | print "typefile not supported." |
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| 56 | print nc.variables |
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| 57 | exit() |
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| 58 | |
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| 59 | ############################################################## |
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| 60 | ### Try to guess the projection from wrfout if not set by user |
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| 61 | if typefile in ['mesoapi','meso']: |
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| 62 | if proj == None: proj = getproj(nc) |
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| 63 | ### (il faudrait passer CEN_LON dans la projection ?) |
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| 64 | elif typefile in ['gcm']: |
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| 65 | if proj == None: proj = "cyl" |
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| 66 | ## pb avec les autres (de trace derriere la sphere ?) |
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| 67 | |
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| 68 | ############################################ |
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| 69 | #### Choose underlying topography by default |
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| 70 | if not back: |
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| 71 | if not var: back = "mola" ## if no var: draw mola |
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| 72 | elif typefile in ['mesoapi','meso'] \ |
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| 73 | and proj not in ['merc','lcc']: back = "molabw" ## if var but meso: draw molabw |
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| 74 | else: pass ## else: draw None |
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| 75 | |
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| 76 | #################################################### |
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| 77 | ### Get geographical coordinates and plot boundaries |
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| 78 | if typefile in ['mesoapi','meso']: |
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| 79 | [lon2d,lat2d] = getcoord2d(nc) |
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| 80 | lon2d = dumpbdy(lon2d) |
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| 81 | lat2d = dumpbdy(lat2d) |
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| 82 | elif typefile in ['gcm']: |
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| 83 | [lon2d,lat2d] = getcoord2d(nc,nlat="latitude",nlon="longitude",is1d=True) |
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| 84 | if proj == "npstere": [wlon,wlat] = latinterv("North_Pole") |
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| 85 | elif proj == "lcc": [wlon,wlat] = wrfinterv(lon2d,lat2d) |
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| 86 | else: [wlon,wlat] = simplinterv(lon2d,lat2d) |
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| 87 | if zoom: |
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| 88 | dlon = abs(wlon[1]-wlon[0])/2. |
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| 89 | dlat = abs(wlat[1]-wlat[0])/2. |
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| 90 | [wlon,wlat] = [ [wlon[0]+zoom*dlon/100.,wlon[1]-zoom*dlon/100.],\ |
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| 91 | [wlat[0]+zoom*dlat/100.,wlat[1]-zoom*dlat/100.] ] |
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| 92 | print "zoom %",zoom,wlon,wlat |
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| 93 | |
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| 94 | ############################################################################## |
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| 95 | ### Get winds and know if those are meteorological winds (ie. zon, mer) or not |
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| 96 | if winds: |
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| 97 | if typefile is 'mesoapi': |
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| 98 | [u,v] = getwinds(nc) |
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| 99 | metwind = True ## meteorological (zon/mer) |
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| 100 | elif typefile is 'gcm': |
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| 101 | [u,v] = getwinds(nc,charu='u',charv='v') |
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| 102 | metwind = True ## meteorological (zon/mer) |
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| 103 | elif typefile is 'meso': |
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| 104 | [u,v] = getwinds(nc,charu='U',charv='V') |
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| 105 | metwind = False ## geometrical (wrt grid) |
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| 106 | print "Beware ! Not using meteorological winds. You trust numerical grid as being (x,y)." |
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| 107 | |
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| 108 | ##################################################### |
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| 109 | ### Load the chosen variables, whether it is 2D or 3D |
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| 110 | if var: |
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| 111 | if var not in nc.variables: |
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| 112 | print "not found in file:",var |
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| 113 | exit() |
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| 114 | else: |
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| 115 | dimension = np.array(nc.variables[var]).ndim |
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| 116 | if dimension == 2: field = nc.variables[var][:,:] |
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| 117 | elif dimension == 3: field = nc.variables[var][:,:,:] |
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| 118 | elif dimension == 4: field = nc.variables[var][:,nvert,:,:] |
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| 119 | dev = np.std(field)*3.0 |
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| 120 | if vmin is None: zevmin = mean(field) - dev |
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| 121 | else: zevmin = vmin |
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| 122 | if vmax is None: zevmax = mean(field) + dev |
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| 123 | else: zevmax = vmax |
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| 124 | print "bounds ", zevmin, zevmax |
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| 125 | ### some already defined colormaps |
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| 126 | if colorb is True: colorb = defcolorb(var) |
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| 127 | |
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| 128 | ########################### |
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| 129 | ### Get length of time axis |
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| 130 | if winds: nt = len(u[:,0,0,0]) |
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| 131 | elif var: |
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| 132 | if dimension == 2: nt = 1 |
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| 133 | else : nt = len(field[:,0,0]) |
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| 134 | |
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| 135 | ######################################### |
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| 136 | ### Name for title and graphics save file |
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| 137 | if winds: basename = "UV_" |
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| 138 | else: basename = "" |
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| 139 | if var: basename = basename + var |
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| 140 | ### |
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| 141 | if typefile is 'meso': stralt = "_lvl" + str(nvert) |
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| 142 | elif typefile is 'mesoapi': |
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| 143 | zelevel = int(nc.variables['vert'][nvert]) |
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| 144 | if 'altitude' in nc.dimensions: stralt = "_"+str(zelevel)+"m-AMR" |
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| 145 | elif 'altitude_abg' in nc.dimensions: stralt = "_"+str(zelevel)+"m-ALS" |
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| 146 | elif 'bottom_top' in nc.dimensions: stralt = "_"+str(zelevel)+"m" |
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| 147 | elif 'pressure' in nc.dimensions: stralt = "_"+str(zelevel)+"Pa" |
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| 148 | else: stralt = "" |
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| 149 | ### |
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| 150 | basename = basename + stralt |
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| 151 | |
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| 152 | ################################## |
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| 153 | ### Open a figure and set subplots |
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| 154 | fig = figure() |
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| 155 | if numplot > 0: |
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| 156 | if numplot == 4: |
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| 157 | sub = 221 |
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| 158 | fig.subplots_adjust(wspace = 0.3, hspace = 0.3) |
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| 159 | rcParams['font.size'] = int( rcParams['font.size'] * 2. / 3. ) |
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| 160 | elif numplot == 2: |
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| 161 | sub = 121 |
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| 162 | fig.subplots_adjust(wspace = 0.3) |
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| 163 | rcParams['font.size'] = int( rcParams['font.size'] * 3. / 4. ) |
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| 164 | elif numplot == 3: |
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| 165 | sub = 131 |
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| 166 | fig.subplots_adjust(wspace = 0.5) |
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| 167 | rcParams['font.size'] = int( rcParams['font.size'] * 1. / 2. ) |
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| 168 | elif numplot == 6: |
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| 169 | sub = 231 |
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| 170 | fig.subplots_adjust(wspace = 0.4, hspace = 0.0) |
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| 171 | rcParams['font.size'] = int( rcParams['font.size'] * 1. / 2. ) |
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| 172 | elif numplot == 8: |
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| 173 | sub = 331 #241 |
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| 174 | fig.subplots_adjust(wspace = 0.3, hspace = 0.3) |
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| 175 | rcParams['font.size'] = int( rcParams['font.size'] * 1. / 2. ) |
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| 176 | elif numplot == 9: |
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| 177 | sub = 331 |
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| 178 | fig.subplots_adjust(wspace = 0.3, hspace = 0.3) |
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| 179 | rcParams['font.size'] = int( rcParams['font.size'] * 1. / 2. ) |
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| 180 | elif numplot == 1: |
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| 181 | sub = 99999 |
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| 182 | else: |
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| 183 | print "supported: 1,2,3,4,6,8" |
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| 184 | exit() |
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| 185 | ### Prepare time loop |
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| 186 | if nt <= numplot or numplot == 1: |
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| 187 | tabrange = [0] |
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| 188 | numplot = 1 |
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| 189 | else: |
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| 190 | tabrange = range(0,nt,int(nt/numplot)) #nt-1 |
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| 191 | tabrange = tabrange[0:numplot] |
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| 192 | else: |
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| 193 | tabrange = range(0,nt,1) |
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| 194 | sub = 99999 |
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| 195 | print tabrange |
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| 196 | |
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| 197 | ################################# |
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| 198 | ### Time loop for plotting device |
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| 199 | found_lct = False |
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| 200 | for i in tabrange: |
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| 201 | |
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| 202 | ### Which local time ? |
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| 203 | ltst = ( interv[0] + 0.5*(wlon[0]+wlon[1])/15.) + i*interv[1] |
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| 204 | ltst = int (ltst * 10) / 10. |
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| 205 | ltst = ltst % 24 |
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| 206 | |
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| 207 | ### General plot settings |
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| 208 | if numplot > 1: |
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| 209 | subplot(sub) |
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| 210 | found_lct = True |
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| 211 | elif numplot == 1: |
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| 212 | found_lct = True |
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| 213 | ### If only one local time is requested (numplot < 0) |
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| 214 | elif numplot <= 0: |
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| 215 | if int(ltst) + numplot != 0: continue |
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| 216 | else: found_lct = True |
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| 217 | |
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| 218 | ### Map projection |
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| 219 | m = define_proj(proj,wlon,wlat,back=back) |
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| 220 | x, y = m(lon2d, lat2d) |
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| 221 | |
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| 222 | #### Contour plot |
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| 223 | if var: |
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| 224 | if typefile in ['mesoapi','meso']: what_I_plot = dumpbdy(field[i,:,:]) |
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| 225 | elif typefile in ['gcm']: |
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| 226 | if dimension == 2: what_I_plot = field[:,:] |
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| 227 | elif dimension == 3: what_I_plot = field[i,:,:] |
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| 228 | palette = get_cmap(name=colorb) |
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| 229 | #palette.set_over('b', 1.0) |
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| 230 | if not tile: |
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| 231 | zelevels = np.linspace(zevmin,zevmax) |
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| 232 | contourf( x, y, what_I_plot, 10, cmap = palette, levels = zelevels ) |
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| 233 | else: |
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| 234 | pcolor( x, y, what_I_plot, cmap = palette, vmin=zevmin, vmax=zevmax ) |
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| 235 | if var in ['HGT']: pass |
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| 236 | elif colorb: |
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| 237 | ndiv = 10 |
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| 238 | colorbar(fraction=0.05,pad=0.1,format=fmtvar(var),\ |
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| 239 | ticks=np.linspace(zevmin,zevmax,ndiv+1),\ |
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| 240 | extend='max',spacing='proportional') |
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| 241 | # both min max neither |
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| 242 | ### Vector plot |
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| 243 | if winds: |
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| 244 | if typefile in ['mesoapi','meso']: |
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| 245 | [vecx,vecy] = [dumpbdy(u[i,nvert,:,:]), dumpbdy(v[i,nvert,:,:])] |
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| 246 | key = True |
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| 247 | elif typefile in ['gcm']: |
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| 248 | [vecx,vecy] = [ u[i,nvert,:,:] , v[i,nvert,:,:] ] |
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| 249 | key = False |
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| 250 | if metwind: [vecx,vecy] = m.rotate_vector(vecx, vecy, lon2d, lat2d) |
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| 251 | if var == None: colorvec = definecolorvec(back) |
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| 252 | else: colorvec = definecolorvec(colorb) |
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| 253 | vectorfield(vecx, vecy,\ |
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| 254 | x, y, stride=stride, csmooth=stride,\ |
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| 255 | scale=15., factor=300., color=colorvec, key=key) |
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| 256 | #200. ## or csmooth=2 |
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| 257 | |
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| 258 | ### Next subplot |
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| 259 | plottitle = basename |
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| 260 | if addchar: plottitle = plottitle + addchar + "_LT"+str(ltst) |
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| 261 | else: plottitle = plottitle + "_LT"+str(ltst) |
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| 262 | ptitle( plottitle ) |
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| 263 | sub += 1 |
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| 264 | |
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| 265 | ########################################################################## |
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| 266 | ### Save the figure in a file in the data folder or an user-defined folder |
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| 267 | if typefile in ['meso','mesoapi']: prefix = getprefix(nc) |
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| 268 | elif typefile in ['gcm']: prefix = 'LMD_GCM_' |
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| 269 | else: prefix = '' |
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| 270 | ### |
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| 271 | zeplot = prefix + basename |
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| 272 | if addchar: zeplot = zeplot + addchar |
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| 273 | if numplot <= 0: zeplot = zeplot + "_LT"+str(abs(numplot)) |
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| 274 | ### |
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| 275 | if not target: zeplot = namefile[0:find(namefile,'wrfout')] + zeplot |
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| 276 | else: zeplot = target + "/" + zeplot |
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| 277 | ### |
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| 278 | if found_lct: makeplotpng(zeplot,pad_inches_value=0.35) |
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| 279 | else: print "Local time not found" |
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| 280 | |
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| 281 | ############### |
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| 282 | ### Now the end |
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| 283 | return zeplot |
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| 284 | |
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| 285 | ########################################################################################### |
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| 286 | ########################################################################################### |
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| 287 | ### What is below relate to running the file as a command line executable (very convenient) |
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| 288 | if __name__ == "__main__": |
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| 289 | import sys |
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| 290 | from optparse import OptionParser ### to be replaced by argparse |
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| 291 | from api_wrapper import api_onelevel |
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| 292 | from netCDF4 import Dataset |
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| 293 | from myplot import getlschar |
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| 294 | |
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| 295 | ############################# |
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| 296 | ### Get options and variables |
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| 297 | parser = OptionParser() |
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| 298 | parser.add_option('-f', action='store', dest='namefile', type="string", default=None, help='[NEEDED] name of WRF file') |
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| 299 | parser.add_option('-l', action='store', dest='nvert', type="float", default=0, help='vertical level (def=0)(-i 2: p,mbar)(-i 3,4: z,km)') |
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| 300 | parser.add_option('-p', action='store', dest='proj', type="string", default=None, help='projection') |
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| 301 | parser.add_option('-b', action='store', dest='back', type="string", default=None, help='background') |
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| 302 | parser.add_option('-t', action='store', dest='target', type="string", default=None, help='destination folder') |
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| 303 | parser.add_option('-s', action='store', dest='stride', type="int", default=3, help='stride vectors (def=3)') |
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| 304 | parser.add_option('-v', action='store', dest='var', type="string", default=None, help='variable contoured') |
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| 305 | parser.add_option('-n', action='store', dest='numplot', type="int", default=4, help='number of plots (def=1)(<0: 1 plot of LT -*numplot*)') |
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| 306 | parser.add_option('-i', action='store', dest='interp', type="int", default=None, help='interpolation method (2: press, 3: z-amr, 4:z-als)') |
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| 307 | parser.add_option('-c', action='store', dest='colorb', type="string", default=True, help='change colormap') |
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| 308 | parser.add_option('-x', action='store_false', dest='winds', default=True, help='flag: no wind vectors') |
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| 309 | parser.add_option('-m', action='store', dest='vmin', type="float", default=None, help='bounding minimum value for color plot') |
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| 310 | parser.add_option('-M', action='store', dest='vmax', type="float", default=None, help='bounding maximum value for color plot') |
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| 311 | parser.add_option('-T', action='store_true', dest='tile', default=False, help='draw a tiled plot (no blank zone)') |
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| 312 | parser.add_option('-z', action='store', dest='zoom', type="float", default=None, help='zoom factor in %') |
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| 313 | #parser.add_option('-V', action='store', dest='comb', type="float", default=None, help='a defined combination of variables') |
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| 314 | (opt,args) = parser.parse_args() |
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| 315 | if opt.namefile is None: |
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| 316 | print "I want to eat one file at least ! Use winds.py -f name_of_my_file. Or type winds.py -h" |
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| 317 | exit() |
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| 318 | print "Options:", opt |
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| 319 | zefile = opt.namefile |
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| 320 | zelevel = opt.nvert |
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| 321 | stralt = None |
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| 322 | [lschar,zehour,zehourin] = getlschar ( zefile ) ## getlschar from wrfout (or simply return "" if another file) |
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| 323 | |
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| 324 | ##################################################### |
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| 325 | ### Call Fortran routines for vertical interpolations |
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| 326 | if opt.interp is not None: |
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| 327 | if opt.nvert is 0 and opt.interp is 4: zelevel = 0.010 |
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| 328 | ### winds or no winds |
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| 329 | if opt.winds : zefields = 'uvmet' |
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| 330 | else : zefields = '' |
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| 331 | ### var or no var |
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| 332 | if opt.var is None : pass |
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| 333 | elif zefields == '' : zefields = opt.var |
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| 334 | else : zefields = zefields + "," + opt.var |
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| 335 | print zefields |
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| 336 | zefile = api_onelevel ( path_to_input = '', \ |
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| 337 | input_name = zefile, \ |
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| 338 | path_to_output = opt.target, \ |
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| 339 | fields = zefields, \ |
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| 340 | interp_method = opt.interp, \ |
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| 341 | onelevel = zelevel ) |
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| 342 | zelevel = 0 ## so that zelevel could play again the role of nvert |
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| 343 | |
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| 344 | ############# |
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| 345 | ### Main call |
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| 346 | name = winds (zefile,int(zelevel),\ |
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| 347 | proj=opt.proj,back=opt.back,target=opt.target,stride=opt.stride,var=opt.var,numplot=opt.numplot,colorb=opt.colorb,winds=opt.winds,\ |
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| 348 | addchar=lschar,interv=[zehour,zehourin],vmin=opt.vmin,vmax=opt.vmax,tile=opt.tile,zoom=opt.zoom) |
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| 349 | print 'Done: '+name |
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| 350 | |
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| 351 | ######################################################### |
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| 352 | ### Generate a .sh file with the used command saved in it |
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| 353 | command = "" |
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| 354 | for arg in sys.argv: command = command + arg + ' ' |
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| 355 | f = open(name+'.sh', 'w') |
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| 356 | f.write(command) |
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