1 | def latinterv (area): |
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2 | if area == "Europe": |
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3 | wlat = [20.,80.] |
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4 | wlon = [-50.,50.] |
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5 | elif area == "Central_America": |
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6 | wlat = [-10.,40.] |
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7 | wlon = [230.,300.] |
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8 | elif area == "Africa": |
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9 | wlat = [-20.,50.] |
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10 | wlon = [-50.,50.] |
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11 | elif area == "Whole": |
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12 | wlat = [-90.,90.] |
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13 | wlon = [-180.,180.] |
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14 | elif area == "Southern_Hemisphere": |
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15 | wlat = [-90.,60.] |
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16 | wlon = [-180.,180.] |
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17 | elif area == "Northern_Hemisphere": |
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18 | wlat = [-60.,90.] |
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19 | wlon = [-180.,180.] |
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20 | elif area == "Tharsis": |
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21 | wlat = [-30.,60.] |
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22 | wlon = [-170.,-10.] |
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23 | elif area == "Whole_No_High": |
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24 | wlat = [-60.,60.] |
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25 | wlon = [-180.,180.] |
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26 | elif area == "Chryse": |
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27 | wlat = [-60.,60.] |
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28 | wlon = [-60.,60.] |
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29 | elif area == "North_Pole": |
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30 | wlat = [60.,90.] |
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31 | wlon = [-180.,180.] |
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32 | elif area == "Close_North_Pole": |
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33 | wlat = [75.,90.] |
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34 | wlon = [-180.,180.] |
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35 | return wlon,wlat |
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36 | |
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37 | #def landers (map) |
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38 | # map.plot(blue_calf_lon,blue_calf_lat, 'gs') |
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39 | # return |
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40 | |
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41 | def getlschar ( namefile ): |
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42 | #### strangely enough this does not work for api or ncrcat results! |
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43 | from netCDF4 import Dataset |
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44 | from timestuff import sol2ls |
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45 | nc = Dataset(namefile) |
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46 | if 'Times' in nc.variables: |
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47 | zetime = nc.variables['Times'][0] |
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48 | zetimestart = getattr(nc, 'START_DATE') |
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49 | zeday = int(zetime[8]+zetime[9]) - int(zetimestart[8]+zetimestart[9]) |
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50 | if zeday < 0: lschar="" ## might have crossed a month... fix soon |
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51 | else: lschar="_Ls"+str( int( sol2ls ( getattr( nc, 'JULDAY' ) + zeday ) ) ) |
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52 | ### |
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53 | zetime2 = nc.variables['Times'][1] |
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54 | one = int(zetime[11]+zetime[12]) + int(zetime[14]+zetime[15])/37. |
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55 | next = int(zetime2[11]+zetime2[12]) + int(zetime2[14]+zetime2[15])/37. |
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56 | zehour = one |
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57 | zehourin = abs ( next - one ) |
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58 | else: |
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59 | lschar="" |
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60 | zehour = 0 |
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61 | zehourin = 1 |
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62 | return lschar, zehour, zehourin |
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63 | |
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64 | def api_onelevel ( path_to_input = None, \ |
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65 | input_name = 'wrfout_d0?_????-??-??_??:00:00', \ |
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66 | path_to_output = None, \ |
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67 | output_name = 'output.nc', \ |
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68 | process = 'list', \ |
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69 | fields = 'tk,W,uvmet,HGT', \ |
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70 | debug = False, \ |
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71 | bit64 = False, \ |
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72 | oldvar = True, \ |
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73 | interp_method = 4, \ |
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74 | extrapolate = 0, \ |
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75 | unstagger_grid = False, \ |
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76 | onelevel = 0.020 ): |
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77 | import api |
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78 | import numpy as np |
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79 | if not path_to_input: path_to_input = './' |
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80 | if not path_to_output: path_to_output = path_to_input |
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81 | api.api_main ( path_to_input, input_name, path_to_output, output_name, \ |
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82 | process, fields, debug, bit64, oldvar, np.arange (299), \ |
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83 | interp_method, extrapolate, unstagger_grid, onelevel ) |
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84 | return |
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85 | |
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86 | def getproj (nc): |
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87 | map_proj = getattr(nc, 'MAP_PROJ') |
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88 | cen_lat = getattr(nc, 'CEN_LAT') |
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89 | if map_proj == 2: |
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90 | if cen_lat > 10.: |
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91 | proj="npstere" |
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92 | print "NP stereographic polar domain" |
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93 | else: |
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94 | proj="spstere" |
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95 | print "SP stereographic polar domain" |
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96 | elif map_proj == 1: |
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97 | print "lambert projection domain" |
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98 | proj="lcc" |
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99 | elif map_proj == 3: |
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100 | print "mercator projection" |
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101 | proj="merc" |
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102 | else: |
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103 | proj="merc" |
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104 | return proj |
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105 | |
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106 | def ptitle (name): |
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107 | from matplotlib.pyplot import title |
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108 | title(name) |
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109 | print name |
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110 | |
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111 | def simplinterv (lon2d,lat2d): |
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112 | import numpy as np |
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113 | return [[np.min(lon2d),np.max(lon2d)],[np.min(lat2d),np.max(lat2d)]] |
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114 | |
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115 | def wrfinterv (lon2d,lat2d): |
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116 | nx = len(lon2d[0,:])-1 |
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117 | ny = len(lon2d[:,0])-1 |
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118 | return [[lon2d[0,0],lon2d[nx,ny]],[lat2d[0,0],lat2d[nx,ny]]] |
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119 | |
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120 | def makeplotpngres (filename,res,pad_inches_value=0.25,folder='',disp=True): |
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121 | import matplotlib.pyplot as plt |
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122 | res = int(res) |
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123 | name = filename+"_"+str(res)+".png" |
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124 | if folder != '': name = folder+'/'+name |
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125 | plt.savefig(name,dpi=res,bbox_inches='tight',pad_inches=pad_inches_value) |
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126 | if disp: display(name) |
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127 | return |
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128 | |
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129 | def makeplotpng (filename,pad_inches_value=0.25,minres=100.,folder=''): |
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130 | makeplotpngres(filename,minres, pad_inches_value=pad_inches_value,folder=folder) |
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131 | makeplotpngres(filename,minres+200.,pad_inches_value=pad_inches_value,folder=folder,disp=False) |
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132 | return |
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133 | |
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134 | def dumpbdy (field): |
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135 | nx = len(field[0,:])-1 |
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136 | ny = len(field[:,0])-1 |
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137 | return field[5:ny-5,5:nx-5] |
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138 | |
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139 | def getcoord2d (nc,nlat='XLAT',nlon='XLONG',is1d=False): |
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140 | import numpy as np |
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141 | if is1d: |
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142 | lat = nc.variables[nlat][:] |
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143 | lon = nc.variables[nlon][:] |
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144 | [lon2d,lat2d] = np.meshgrid(lon,lat) |
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145 | else: |
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146 | lat = nc.variables[nlat][0,:,:] |
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147 | lon = nc.variables[nlon][0,:,:] |
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148 | [lon2d,lat2d] = [lon,lat] |
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149 | return lon2d,lat2d |
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150 | |
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151 | def smooth (field, coeff): |
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152 | ## actually blur_image could work with different coeff on x and y |
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153 | if coeff > 1: result = blur_image(field,int(coeff)) |
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154 | else: result = field |
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155 | return result |
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156 | |
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157 | def gauss_kern(size, sizey=None): |
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158 | import numpy as np |
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159 | ## FROM COOKBOOK http://www.scipy.org/Cookbook/SignalSmooth |
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160 | # Returns a normalized 2D gauss kernel array for convolutions |
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161 | size = int(size) |
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162 | if not sizey: |
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163 | sizey = size |
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164 | else: |
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165 | sizey = int(sizey) |
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166 | x, y = np.mgrid[-size:size+1, -sizey:sizey+1] |
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167 | g = np.exp(-(x**2/float(size)+y**2/float(sizey))) |
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168 | return g / g.sum() |
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169 | |
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170 | def blur_image(im, n, ny=None) : |
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171 | from scipy.signal import convolve |
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172 | ## FROM COOKBOOK http://www.scipy.org/Cookbook/SignalSmooth |
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173 | # blurs the image by convolving with a gaussian kernel of typical size n. |
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174 | # The optional keyword argument ny allows for a different size in the y direction. |
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175 | g = gauss_kern(n, sizey=ny) |
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176 | improc = convolve(im, g, mode='same') |
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177 | return improc |
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178 | |
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179 | def vectorfield (u, v, x, y, stride=3, scale=15., factor=250., color='black', csmooth=1, key=True): |
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180 | ## scale regle la reference du vecteur |
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181 | ## factor regle toutes les longueurs (dont la reference). l'AUGMENTER pour raccourcir les vecteurs. |
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182 | import matplotlib.pyplot as plt |
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183 | import numpy as np |
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184 | #posx = np.max(x) + np.std(x) / 3. ## pb pour les domaines globaux ... |
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185 | #posy = np.mean(y) |
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186 | #posx = np.min(x) |
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187 | #posy = np.max(x) |
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188 | #posx = np.max(x) - np.std(x) / 10. |
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189 | #posy = np.max(y) + np.std(y) / 10. |
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190 | posx = np.min(x) - np.std(x) / 10. |
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191 | posy = np.min(y) - np.std(y) / 10. |
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192 | u = smooth(u,csmooth) |
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193 | v = smooth(v,csmooth) |
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194 | widthvec = 0.003 #0.005 #0.003 |
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195 | q = plt.quiver( x[::stride,::stride],\ |
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196 | y[::stride,::stride],\ |
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197 | u[::stride,::stride],\ |
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198 | v[::stride,::stride],\ |
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199 | angles='xy',color=color,\ |
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200 | scale=factor,width=widthvec ) |
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201 | if color=='white': kcolor='black' |
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202 | elif color=='yellow': kcolor=color |
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203 | else: kcolor=color |
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204 | if key: p = plt.quiverkey(q,posx,posy,scale,\ |
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205 | str(int(scale)),coordinates='data',color=kcolor,labelpos='S',labelsep = 0.03) |
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206 | return |
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207 | |
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208 | def display (name): |
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209 | from os import system |
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210 | system("display "+name+" > /dev/null 2> /dev/null &") |
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211 | return name |
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212 | |
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213 | def findstep (wlon): |
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214 | steplon = int((wlon[1]-wlon[0])/4.) #3 |
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215 | step = 120. |
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216 | while step > steplon and step > 15. : step = step / 2. |
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217 | if step <= 15.: |
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218 | while step > steplon and step > 5. : step = step - 5. |
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219 | if step <= 5.: |
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220 | while step > steplon and step > 1. : step = step - 1. |
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221 | if step <= 1.: |
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222 | step = 1. |
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223 | return step |
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224 | |
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225 | def define_proj (char,wlon,wlat,back="."): |
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226 | from mpl_toolkits.basemap import Basemap |
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227 | import numpy as np |
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228 | import matplotlib as mpl |
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229 | meanlon = 0.5*(wlon[0]+wlon[1]) |
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230 | meanlat = 0.5*(wlat[0]+wlat[1]) |
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231 | if wlat[0] >= 80.: blat = 40. |
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232 | elif wlat[0] <= -80.: blat = -40. |
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233 | else: blat = wlat[0] |
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234 | h = 2000. |
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235 | radius = 3397200 |
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236 | if char == "cyl": m = Basemap(rsphere=radius,projection='cyl',\ |
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237 | llcrnrlat=wlat[0],urcrnrlat=wlat[1],llcrnrlon=wlon[0],urcrnrlon=wlon[1]) |
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238 | elif char == "moll": m = Basemap(rsphere=radius,projection='moll',lon_0=meanlon) |
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239 | elif char == "ortho": m = Basemap(rsphere=radius,projection='ortho',lon_0=meanlon,lat_0=meanlat) |
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240 | elif char == "lcc": m = Basemap(rsphere=radius,projection='lcc',lat_1=meanlat,lat_0=meanlat,lon_0=meanlon,\ |
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241 | llcrnrlat=wlat[0],urcrnrlat=wlat[1],llcrnrlon=wlon[0],urcrnrlon=wlon[1]) |
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242 | elif char == "npstere": m = Basemap(rsphere=radius,projection='npstere', boundinglat=blat, lon_0=0.) |
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243 | elif char == "spstere": m = Basemap(rsphere=radius,projection='spstere', boundinglat=blat, lon_0=0.) |
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244 | elif char == "nsper": m = Basemap(rsphere=radius,projection='nsper',lon_0=meanlon,lat_0=meanlat,satellite_height=h*1000.) |
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245 | elif char == "merc": m = Basemap(rsphere=radius,projection='merc',lat_ts=0.,\ |
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246 | llcrnrlat=wlat[0],urcrnrlat=wlat[1],llcrnrlon=wlon[0],urcrnrlon=wlon[1]) |
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247 | fontsizemer = int(mpl.rcParams['font.size']*3./4.) |
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248 | if char in ["cyl","lcc","merc"]: step = findstep(wlon) |
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249 | else: step = 10. |
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250 | m.drawmeridians(np.r_[-180.:180.:step*2.], labels=[0,0,0,1], color='grey', fontsize=fontsizemer) |
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251 | m.drawparallels(np.r_[-90.:90.:step], labels=[1,0,0,0], color='grey', fontsize=fontsizemer) |
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252 | if back == ".": m.warpimage(marsmap(),scale=0.75) |
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253 | elif back == None: pass |
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254 | else: m.warpimage(marsmap(back),scale=0.75) |
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255 | return m |
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256 | |
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257 | def marsmap (whichone="vishires"): |
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258 | whichlink = { \ |
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259 | "vis": "http://maps.jpl.nasa.gov/pix/mar0kuu2.jpg",\ |
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260 | "vishires": "http://users.info.unicaen.fr/~karczma/TEACH/InfoGeo/Images/Planets/MarsMap_2500x1250.jpg",\ |
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261 | "mola": "http://www.lns.cornell.edu/~seb/celestia/mars-mola-2k.jpg",\ |
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262 | "molabw": "http://users.info.unicaen.fr/~karczma/TEACH/InfoGeo/Images/Planets/MarsElevation_2500x1250.jpg",\ |
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263 | } |
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264 | if whichone not in whichlink: |
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265 | print "marsmap: choice not defined... you'll get the default one... " |
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266 | whichone = "vishires" |
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267 | return whichlink[whichone] |
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268 | |
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269 | def earthmap (whichone): |
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270 | if whichone == "contrast": whichlink="http://users.info.unicaen.fr/~karczma/TEACH/InfoGeo/Images/Planets/EarthMapAtmos_2500x1250.jpg" |
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271 | elif whichone == "bw": whichlink="http://users.info.unicaen.fr/~karczma/TEACH/InfoGeo/Images/Planets/EarthElevation_2500x1250.jpg" |
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272 | elif whichone == "nice": whichlink="http://users.info.unicaen.fr/~karczma/TEACH/InfoGeo/Images/Planets/earthmap1k.jpg" |
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273 | return whichlink |
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274 | |
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