1 | #!/usr/bin/env python |
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2 | |
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3 | ### A. Spiga -- LMD -- 30/05/2011 |
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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=None): |
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19 | |
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20 | ################################# |
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21 | ### Load librairies and functions |
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22 | from netCDF4 import Dataset |
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23 | from myplot import getcoord2d,define_proj,makeplotpng,simplinterv,vectorfield,ptitle,latinterv,getproj,wrfinterv,dumpbdy |
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24 | from matplotlib.pyplot import contourf, subplot, figure, rcParams, savefig, colorbar |
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25 | import numpy as np |
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26 | |
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27 | ###################### |
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28 | ### Load NETCDF object |
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29 | nc = Dataset(namefile) |
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30 | |
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31 | ################################### |
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32 | ### Recognize predefined file types |
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33 | if 'controle' in nc.variables: typefile = 'gcm' |
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34 | elif 'Um' in nc.variables: typefile = 'mesoapi' |
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35 | elif 'U' in nc.variables: typefile = 'meso' |
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36 | else: |
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37 | print "typefile not supported." |
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38 | exit() |
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39 | |
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40 | ############################################################## |
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41 | ### Try to guess the projection from wrfout if not set by user |
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42 | if typefile in ['mesoapi','meso']: |
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43 | if proj == None: proj = getproj(nc) |
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44 | ### (il faudrait passer CEN_LON dans la projection ?) |
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45 | elif typefile in ['gcm']: |
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46 | if proj == None: proj = "cyl" |
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47 | ## pb avec les autres (de trace derriere la sphere ?) |
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48 | |
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49 | #################################################################### |
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50 | #### For mesoscale results plot the underlying topography by default |
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51 | if typefile in ['mesoapi','meso']: |
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52 | if var == None: back="mola" #var = 'HGT' |
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53 | |
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54 | #################################################### |
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55 | ### Get geographical coordinates and plot boundaries |
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56 | if typefile in ['mesoapi','meso']: |
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57 | [lon2d,lat2d] = getcoord2d(nc) |
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58 | lon2d = dumpbdy(lon2d) |
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59 | lat2d = dumpbdy(lat2d) |
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60 | elif typefile in ['gcm']: |
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61 | [lon2d,lat2d] = getcoord2d(nc,nlat="latitude",nlon="longitude",is1d=True) |
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62 | if proj == "npstere": [wlon,wlat] = latinterv("North_Pole") |
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63 | elif proj == "lcc": [wlon,wlat] = wrfinterv(lon2d,lat2d) |
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64 | else: [wlon,wlat] = simplinterv(lon2d,lat2d) |
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65 | |
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66 | ################## |
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67 | ### Get local time |
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68 | if typefile in ['mesoapi','meso']: ltst = int(getattr(nc, 'GMT') + 0.5*(wlon[0]+wlon[1])/15.) |
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69 | elif typefile in ['gcm']: ltst = 0 |
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70 | |
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71 | ############################################################################## |
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72 | ### Get winds and know if those are meteorological winds (ie. zon, mer) or not |
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73 | if typefile is 'mesoapi': |
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74 | [u,v] = getwinds(nc) |
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75 | metwind = True ## meteorological (zon/mer) |
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76 | elif typefile is 'gcm': |
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77 | [u,v] = getwinds(nc,charu='u',charv='v') |
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78 | metwind = True ## meteorological (zon/mer) |
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79 | elif typefile is 'meso': |
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80 | [u,v] = getwinds(nc,charu='U',charv='V') |
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81 | metwind = False ## geometrical (wrt grid) |
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82 | print "Beware ! Not using meteorological winds. You trust numerical grid as being (x,y)." |
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83 | |
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84 | #################################################### |
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85 | ### Load the chosen variables, whether it is 2D or 3D |
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86 | if var: |
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87 | if var not in nc.variables: |
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88 | print "not found in file:",var |
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89 | exit() |
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90 | else: |
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91 | dimension = np.array(nc.variables[var]).ndim |
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92 | if dimension == 2: field = nc.variables[var][:,:] |
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93 | elif dimension == 3: field = nc.variables[var][:,:,:] |
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94 | elif dimension == 4: field = nc.variables[var][:,nvert,:,:] |
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95 | nt = len(u[:,0,0,0]) |
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96 | |
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97 | ######################################### |
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98 | ### Name for title and graphics save file |
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99 | basename = "WINDS" |
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100 | if var: |
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101 | basename = basename + "_" + var |
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102 | basename = basename + "_z" + str(nvert) |
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103 | |
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104 | ################################## |
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105 | ### Open a figure and set subplots |
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106 | fig = figure() |
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107 | if numplot > 0: |
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108 | if numplot == 4: |
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109 | sub = 221 |
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110 | fig.subplots_adjust(wspace = 0.1, hspace = 0.3) |
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111 | rcParams['font.size'] = int( rcParams['font.size'] * 2. / 3. ) |
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112 | elif numplot == 2: |
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113 | sub = 121 |
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114 | fig.subplots_adjust(wspace = 0.3) |
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115 | rcParams['font.size'] = int( rcParams['font.size'] * 3. / 4. ) |
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116 | elif numplot == 3: |
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117 | sub = 131 |
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118 | fig.subplots_adjust(wspace = 0.3) |
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119 | rcParams['font.size'] = int( rcParams['font.size'] * 2. / 3. ) |
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120 | elif numplot == 6: |
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121 | sub = 231 |
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122 | fig.subplots_adjust(wspace = 0.4, hspace = 0.0) |
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123 | rcParams['font.size'] = int( rcParams['font.size'] * 2. / 3. ) |
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124 | elif numplot == 8: |
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125 | sub = 331 #241 |
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126 | fig.subplots_adjust(wspace = 0.1, hspace = 0.3) |
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127 | rcParams['font.size'] = int( rcParams['font.size'] * 1. / 2. ) |
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128 | elif numplot == 9: |
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129 | sub = 331 |
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130 | fig.subplots_adjust(wspace = 0.1, hspace = 0.3) |
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131 | rcParams['font.size'] = int( rcParams['font.size'] * 1. / 2. ) |
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132 | elif numplot == 1: |
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133 | pass |
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134 | else: |
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135 | print "supported: 1,2,3,4,6,8" |
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136 | exit() |
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137 | ### Prepare time loop |
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138 | if nt <= numplot or numplot == 1: |
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139 | tabrange = [0] |
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140 | numplot = 1 |
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141 | else: |
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142 | tabrange = range(0,nt,int(nt/numplot)) #nt-1 |
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143 | tabrange = tabrange[0:numplot] |
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144 | else: |
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145 | tabrange = range(0,nt,1) |
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146 | sub = 99999 |
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147 | print tabrange |
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148 | |
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149 | ################################# |
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150 | ### Time loop for plotting device |
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151 | found_lct = False |
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152 | for i in tabrange: |
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153 | |
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154 | ### General plot settings |
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155 | if numplot > 1: |
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156 | subplot(sub) |
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157 | found_lct = True |
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158 | elif numplot == 1: |
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159 | found_lct = True |
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160 | ### If only one local time is requested (numplot < 0) |
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161 | elif numplot <= 0: |
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162 | #print (ltst+i)%24, numplot, (ltst+i)%24+numplot |
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163 | if (ltst+i)%24 + numplot != 0: continue |
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164 | else: found_lct = True |
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165 | |
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166 | ### Map projection |
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167 | m = define_proj(proj,wlon,wlat,back=back) |
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168 | x, y = m(lon2d, lat2d) |
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169 | |
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170 | #### Contour plot |
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171 | if var: |
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172 | if typefile in ['mesoapi','meso']: what_I_plot = dumpbdy(field[i,:,:]) |
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173 | elif typefile in ['gcm']: |
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174 | if dimension == 2: what_I_plot = field[:,:] |
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175 | elif dimension == 3: what_I_plot = field[i,:,:] |
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176 | contourf(x, y, what_I_plot, 30) |
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177 | if colorb: colorbar(fraction=0.05,pad=0.1) |
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178 | |
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179 | ### Vector plot |
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180 | if typefile in ['mesoapi','meso']: |
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181 | [vecx,vecy] = [dumpbdy(u[i,nvert,:,:]), dumpbdy(v[i,nvert,:,:])] |
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182 | key = True |
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183 | elif typefile in ['gcm']: |
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184 | [vecx,vecy] = [ u[i,nvert,:,:] , v[i,nvert,:,:] ] |
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185 | key = False |
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186 | if metwind: [vecx,vecy] = m.rotate_vector(vecx, vecy, lon2d, lat2d) |
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187 | vectorfield(vecx, vecy,\ |
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188 | x, y, stride=stride, csmooth=stride,\ |
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189 | scale=15., factor=200., color='k', key=key) |
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190 | ## or csmooth=2 |
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191 | |
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192 | ### Next subplot |
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193 | ptitle( basename + "_LT"+str((ltst+i)%24) ) |
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194 | sub += 1 |
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195 | |
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196 | ########################################################################## |
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197 | ### Save the figure in a file in the data folder or an user-defined folder |
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198 | if not target: zeplot = namefile+"_"+basename |
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199 | else: zeplot = target+"/"+basename |
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200 | if numplot <= 0: zeplot = zeplot + "_LT"+str(abs(numplot)) |
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201 | if found_lct: makeplotpng(zeplot,pad_inches_value=0.35) |
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202 | else: print "Local time not found" |
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203 | |
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204 | |
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205 | |
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206 | #################################################### |
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207 | #################################################### |
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208 | ### A simple program to get wind vectors' components |
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209 | def getwinds (nc,charu='Um',charv='Vm'): |
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210 | import numpy as np |
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211 | u = nc.variables[charu] |
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212 | v = nc.variables[charv] |
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213 | if charu == 'U': u = u[:, :, :, 0:len(u[0,0,0,:])-1] |
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214 | if charv == 'V': v = v[:, :, 0:len(v[0,0,:,0])-1, :] |
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215 | ### ou alors prendre les coordonnees speciales |
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216 | return u,v |
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217 | |
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218 | |
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219 | |
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220 | ########################################################################################### |
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221 | ########################################################################################### |
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222 | ### What is below relate to running the file as a command line executable (very convenient) |
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223 | if __name__ == "__main__": |
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224 | import sys |
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225 | from optparse import OptionParser ### to be replaced by argparse |
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226 | from api_wrapper import api_onelevel |
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227 | parser = OptionParser() |
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228 | parser.add_option('-f', action='store', dest='namefile', type="string", default=None, help='name of WRF file [NEEDED]') |
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229 | parser.add_option('-l', action='store', dest='nvert', type="float", default=0, help='vertical level (def=0)') |
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230 | parser.add_option('-p', action='store', dest='proj', type="string", default=None, help='projection') |
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231 | parser.add_option('-b', action='store', dest='back', type="string", default=None, help='background') |
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232 | parser.add_option('-t', action='store', dest='target', type="string", default=None, help='destination folder') |
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233 | parser.add_option('-s', action='store', dest='stride', type="int", default=3, help='stride vectors (def=3)') |
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234 | parser.add_option('-v', action='store', dest='var', type="string", default=None, help='variable contoured') |
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235 | 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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236 | parser.add_option('-i', action='store', dest='interp', type="int", default=None, help='interpolation method (done at level *nvert* km)') |
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237 | parser.add_option('-c', action='store', dest='colorb', type="string", default=None, help='colorbar') |
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238 | (opt,args) = parser.parse_args() |
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239 | if opt.namefile is None: |
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240 | 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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241 | exit() |
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242 | print "Options:", opt |
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243 | |
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244 | zefile = opt.namefile |
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245 | zelevel = opt.nvert |
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246 | if opt.interp is not None: |
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247 | if opt.nvert is 0 and opt.interp is 4: zelevel = 0.010 |
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248 | if opt.var is None : zefields = 'uvmet' |
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249 | else : zefields = 'uvmet,'+opt.var |
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250 | zefile = api_onelevel ( path_to_input = '', \ |
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251 | input_name = zefile, \ |
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252 | path_to_output = opt.target, \ |
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253 | fields = zefields, \ |
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254 | interp_method = opt.interp, \ |
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255 | onelevel = zelevel ) |
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256 | zelevel = 0 |
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257 | |
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258 | winds (zefile,int(zelevel),proj=opt.proj,back=opt.back,target=opt.target,stride=opt.stride,var=opt.var,numplot=opt.numplot,colorb=opt.colorb) |
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