| 1 | #################################################### |
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| 2 | ### A Python Class for the Mars Climate Database ### |
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| 3 | ### ---------------------------------------------### |
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| 4 | ### Aymeric SPIGA 17-21/04/2012 ### |
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| 5 | ### ---------------------------------------------### |
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| 6 | ### (see mcdtest.py for examples of use) ### |
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| 7 | #################################################### |
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| 8 | |
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| 9 | import numpy as np |
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| 10 | import fmcd |
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| 11 | import matplotlib.pyplot as mpl |
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| 12 | import myplot |
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| 13 | |
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| 14 | |
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| 15 | class mcd(): |
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| 16 | |
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| 17 | def __repr__(self): |
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| 18 | # print out a help string when help is invoked on the object |
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| 19 | whatprint = 'MCD object. \"help(mcd)\" for more information\n' |
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| 20 | return whatprint |
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| 21 | |
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| 22 | ######################## |
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| 23 | ### Default settings ### |
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| 24 | ######################## |
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| 25 | |
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| 26 | def __init__(self): |
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| 27 | # default settings |
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| 28 | ## 0. general stuff |
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| 29 | self.name = "MCD v4.3 output" |
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| 30 | #self.dset = '/home/aymeric/Science/MCD_v4.3/data/' |
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| 31 | self.dset = '/home/marshttp/MCD_v4.3/data/' |
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| 32 | ## 1. spatio-temporal coordinates |
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| 33 | self.lat = 0. |
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| 34 | self.lats = None |
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| 35 | self.late = None |
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| 36 | self.lon = 0. |
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| 37 | self.lons = None |
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| 38 | self.lone = None |
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| 39 | self.loct = 0. |
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| 40 | self.locts = None |
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| 41 | self.locte = None |
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| 42 | self.xdate = 0. # see datekey |
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| 43 | self.xdates = None |
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| 44 | self.xdatee = None |
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| 45 | self.xz = 10. # see zkey |
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| 46 | self.xzs = None |
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| 47 | self.xze = None |
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| 48 | ## 1bis. related settings |
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| 49 | self.zkey = 3 # specify that xz is the altitude above surface (m) |
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| 50 | # zkey : <integer> type of vertical coordinate xz |
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| 51 | # 1 = radius from centre of planet (m) |
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| 52 | # 2 = height above areoid (m) (MOLA zero datum) |
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| 53 | # 3 = height above surface (m) |
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| 54 | # 4 = pressure level (Pa) |
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| 55 | # 5 = altitude above mean Mars Radius(=3396000m) (m) |
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| 56 | self.datekey = 1 # 0 = "Earth time": xdate is given in Julian days (localtime must be set to zero) |
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| 57 | # 1 = "Mars date": xdate is the value of Ls |
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| 58 | ## 2. climatological options |
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| 59 | self.dust = 2 #our best guess MY24 scenario, with solar average conditions |
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| 60 | self.hrkey = 1 #set high resolution mode on (hrkey=0 to set high resolution off) |
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| 61 | ## 3. additional settings for advanced use |
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| 62 | self.extvarkey = 1 #extra output variables (1: yes, 0: no) |
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| 63 | self.perturkey = 0 #integer perturkey ! perturbation type (0: none) |
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| 64 | self.seedin = 1 #random number generator seed (unused if perturkey=0) |
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| 65 | self.gwlength = 0. #gravity Wave wavelength (unused if perturkey=0) |
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| 66 | ## outputs. just to define attributes. |
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| 67 | ## --> in update |
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| 68 | self.pres = None ; self.dens = None ; self.temp = None ; self.zonwind = None ; self.merwind = None ; self.meanvar = None ; self.extvar = None |
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| 69 | self.seedout = None ; self.ierr = None |
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| 70 | ## --> in prepare |
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| 71 | self.xcoord = None ; self.ycoord = None |
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| 72 | self.prestab = None ; self.denstab = None ; self.temptab = None |
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| 73 | self.zonwindtab = None ; self.merwindtab = None ; self.meanvartab = None ; self.extvartab = None |
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| 74 | |
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| 75 | def viking1(self): self.name = "Viking 1 site. MCD v4.3 output" ; self.lat = 22.48 ; self.lon = -49.97 ; self.xdate = 97. |
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| 76 | def viking2(self): self.name = "Viking 2 site. MCD v4.3 output" ; self.lat = 47.97 ; self.lon = -225.74 ; self.xdate = 117.6 |
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| 77 | |
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| 78 | def getextvarlab(self,num): |
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| 79 | whichfield = { \ |
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| 80 | 91: "Pressure (Pa)", \ |
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| 81 | 92: "Density (kg/m3)", \ |
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| 82 | 93: "Temperature (K)", \ |
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| 83 | 94: "W-E wind component (m/s)", \ |
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| 84 | 95: "S-N wind component (m/s)", \ |
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| 85 | 1: "Radial distance from planet center (m)",\ |
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| 86 | 2: "Altitude above areoid (Mars geoid) (m)",\ |
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| 87 | 3: "Altitude above local surface (m)",\ |
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| 88 | 4: "orographic height (m) (surface altitude above areoid)",\ |
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| 89 | 5: "Ls, solar longitude of Mars (deg)",\ |
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| 90 | 6: "LST local true solar time (hrs)",\ |
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| 91 | 7: "Universal solar time (LST at lon=0) (hrs)",\ |
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| 92 | 8: "Air heat capacity Cp (J kg-1 K-1)",\ |
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| 93 | 9: "gamma=Cp/Cv Ratio of specific heats",\ |
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| 94 | 10: "density RMS day to day variations (kg/m^3)",\ |
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| 95 | 11: "[not defined]",\ |
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| 96 | 12: "[not defined]",\ |
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| 97 | 13: "scale height H(p) (m)",\ |
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| 98 | 14: "GCM orography (m)",\ |
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| 99 | 15: "surface temperature (K)",\ |
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| 100 | 16: "daily maximum mean surface temperature (K)",\ |
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| 101 | 17: "daily minimum mean surface temperature (K)",\ |
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| 102 | 18: "surf. temperature RMS day to day variations (K)",\ |
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| 103 | 19: "surface pressure (high resolution if hireskey=1)",\ |
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| 104 | 20: "GCM surface pressure (Pa)",\ |
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| 105 | 21: "atmospheric pressure RMS day to day variations (Pa)",\ |
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| 106 | 22: "surface pressure RMS day to day variations (Pa)",\ |
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| 107 | 23: "temperature RMS day to day variations (K)",\ |
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| 108 | 24: "zonal wind RMS day to day variations (m/s)",\ |
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| 109 | 25: "meridional wind RMS day to day variations (m/s)",\ |
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| 110 | 26: "vertical wind component (m/s) >0 when downwards!",\ |
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| 111 | 27: "vertical wind RMS day to day variations (m/s)",\ |
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| 112 | 28: "small scale perturbation (gravity wave) (kg/m^3)",\ |
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| 113 | 29: "q2: turbulent kinetic energy (m2/s2)",\ |
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| 114 | 30: "[not defined]",\ |
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| 115 | 31: "thermal IR flux to surface (W/m2)",\ |
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| 116 | 32: "solar flux to surface (W/m2)",\ |
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| 117 | 33: "thermal IR flux to space (W/m2)",\ |
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| 118 | 34: "solar flux reflected to space (W/m2)",\ |
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| 119 | 35: "surface CO2 ice layer (kg/m2)",\ |
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| 120 | 36: "DOD: Dust column visible optical depth",\ |
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| 121 | 37: "Dust mass mixing ratio (kg/kg)",\ |
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| 122 | 38: "DOD RMS day to day variations",\ |
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| 123 | 39: "DOD total standard deviation over season",\ |
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| 124 | 40: "Water vapor column (kg/m2)",\ |
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| 125 | 41: "Water vapor vol. mixing ratio (mol/mol)",\ |
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| 126 | 42: "Water ice column (kg/m2)",\ |
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| 127 | 43: "Water ice mixing ratio (mol/mol)",\ |
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| 128 | 44: "O3 ozone vol. mixing ratio (mol/mol)",\ |
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| 129 | 45: "[CO2] vol. mixing ratio (mol/mol)",\ |
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| 130 | 46: "[O] vol. mixing ratio (mol/mol)",\ |
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| 131 | 47: "[N2] vol. mixing ratio (mol/mol)",\ |
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| 132 | 48: "[CO] vol. mixing ratio (mol/mol)",\ |
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| 133 | 49: "R: Molecular gas constant (J K-1 kg-1)",\ |
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| 134 | 50: "Air viscosity estimation (N s m-2)" |
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| 135 | } |
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| 136 | if num not in whichfield: myplot.errormess("Incorrect subscript in extvar.") |
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| 137 | return whichfield[num] |
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| 138 | |
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| 139 | def convertlab(self,num): |
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| 140 | ## a conversion from text inquiries to extvar numbers. to be completed. |
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| 141 | if num == "p": num = 91 |
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| 142 | elif num == "rho": num = 92 |
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| 143 | elif num == "t": num = 93 |
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| 144 | elif num == "u": num = 94 |
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| 145 | elif num == "v": num = 95 |
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| 146 | elif num == "tsurf": num = 15 |
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| 147 | elif num == "topo": num = 4 |
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| 148 | elif num == "h": num = 13 |
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| 149 | elif num == "ps": num = 19 |
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| 150 | elif num == "tau": num = 36 |
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| 151 | elif num == "mtot": num = 40 |
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| 152 | elif num == "icetot": num = 42 |
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| 153 | elif num == "ps_ddv": num = 22 |
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| 154 | elif num == "h2ovap": num = 41 |
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| 155 | elif num == "h2oice": num = 43 |
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| 156 | elif num == "cp": num = 8 |
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| 157 | elif num == "rho_ddv": num = 10 |
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| 158 | elif num == "tsurfmx": num = 16 |
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| 159 | elif num == "tsurfmn": num = 17 |
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| 160 | elif num == "lwdown": num = 31 |
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| 161 | elif num == "swdown": num = 32 |
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| 162 | elif num == "lwup": num = 33 |
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| 163 | elif num == "swup": num = 34 |
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| 164 | elif num == "o3": num = 44 |
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| 165 | elif num == "o": num = 46 |
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| 166 | elif num == "co": num = 48 |
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| 167 | elif num == "visc": num = 50 |
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| 168 | elif num == "co2ice": num = 35 |
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| 169 | elif not isinstance(num, np.int): myplot.errormess("field reference not found.") |
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| 170 | return num |
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| 171 | |
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| 172 | ################### |
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| 173 | ### One request ### |
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| 174 | ################### |
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| 175 | |
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| 176 | def update(self): |
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| 177 | # retrieve fields from MCD (call_mcd). more info in fmcd.call_mcd.__doc__ |
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| 178 | (self.pres, self.dens, self.temp, self.zonwind, self.merwind, \ |
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| 179 | self.meanvar, self.extvar, self.seedout, self.ierr) \ |
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| 180 | = \ |
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| 181 | fmcd.call_mcd(self.zkey,self.xz,self.lon,self.lat,self.hrkey, \ |
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| 182 | self.datekey,self.xdate,self.loct,self.dset,self.dust, \ |
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| 183 | self.perturkey,self.seedin,self.gwlength,self.extvarkey ) |
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| 184 | ## we use the end of extvar (unused) to store meanvar. this is convenient for getextvar(lab) |
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| 185 | self.extvar[90] = self.pres ; self.extvar[91] = self.dens |
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| 186 | self.extvar[92] = self.temp ; self.extvar[93] = self.zonwind ; self.extvar[94] = self.merwind |
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| 187 | |
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| 188 | def printset(self): |
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| 189 | # print main settings |
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| 190 | print "zkey",self.zkey,"xz",self.xz,"lon",self.lon,"lat",self.lat,"hrkey",self.hrkey, \ |
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| 191 | "xdate",self.xdate,"loct",self.loct,"dust",self.dust |
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| 192 | |
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| 193 | def getnameset(self): |
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| 194 | # set a name referring to settings [convenient for databases] |
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| 195 | strlat = str(self.lat)+str(self.lats)+str(self.late) |
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| 196 | strlon = str(self.lon)+str(self.lons)+str(self.lone) |
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| 197 | strxz = str(self.xz)+str(self.xzs)+str(self.xze) |
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| 198 | strloct = str(self.loct)+str(self.locts)+str(self.locte) |
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| 199 | name = str(self.zkey)+strxz+strlon+strlat+str(self.hrkey)+str(self.datekey)+str(self.xdate)+strloct+str(self.dust) |
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| 200 | return name |
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| 201 | |
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| 202 | def printcoord(self): |
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| 203 | # print requested space-time coordinates |
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| 204 | print "LAT",self.lat,"LON",self.lon,"LOCT",self.loct,"XDATE",self.xdate |
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| 205 | |
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| 206 | def printmeanvar(self): |
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| 207 | # print mean MCD variables |
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| 208 | print "Pressure = %5.3f pascals. " % (self.pres) |
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| 209 | print "Density = %5.3f kilograms per cubic meter. " % (self.dens) |
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| 210 | print "Temperature = %3.0f kelvins (%4.0f degrees celsius)." % (self.temp,self.temp-273.15) |
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| 211 | print "Zonal wind = %5.3f meters per second." % (self.zonwind) |
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| 212 | print "Meridional wind = %5.3f meters per second." % (self.merwind) |
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| 213 | |
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| 214 | def printextvar(self,num): |
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| 215 | # print extra MCD variables |
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| 216 | num = self.convertlab(num) |
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| 217 | print self.getextvarlab(num) + " ..... " + str(self.extvar[num-1]) |
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| 218 | |
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| 219 | def printallextvar(self): |
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| 220 | # print all extra MCD variables |
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| 221 | for i in range(50): self.printextvar(i+1) |
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| 222 | |
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| 223 | def htmlprinttabextvar(self,tabtodo): |
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| 224 | print "Results from the Mars Climate Database" |
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| 225 | print "<ul>" |
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| 226 | for i in range(len(tabtodo)): print "<li>" ; self.printextvar(tabtodo[i]) ; print "</li>" |
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| 227 | print "</ul>" |
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| 228 | print "<hr>" |
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| 229 | print "SETTINGS<br />" |
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| 230 | self.printcoord() |
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| 231 | self.printset() |
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| 232 | |
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| 233 | def printmcd(self): |
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| 234 | # 1. call MCD 2. print settings 3. print mean vars |
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| 235 | self.update() |
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| 236 | self.printcoord() |
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| 237 | print "-------------------------------------------" |
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| 238 | self.printmeanvar() |
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| 239 | |
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| 240 | ######################## |
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| 241 | ### Several requests ### |
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| 242 | ######################## |
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| 243 | |
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| 244 | def prepare(self,ndx=None,ndy=None): |
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| 245 | ### prepare I/O arrays for 1d slices |
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| 246 | if ndx is None: print "No dimension in prepare. Exit. Set at least ndx." ; exit() |
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| 247 | else: self.xcoord = np.ones(ndx) |
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| 248 | if ndy is None: dashape = (ndx) ; dashapemean = (ndx,6) ; dashapeext = (ndx,101) ; self.ycoord = None |
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| 249 | else: dashape = (ndx,ndy) ; dashapemean = (ndx,ndy,6) ; dashapeext = (ndx,ndy,101) ; self.ycoord = np.ones(ndy) |
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| 250 | self.prestab = np.ones(dashape) ; self.denstab = np.ones(dashape) ; self.temptab = np.ones(dashape) |
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| 251 | self.zonwindtab = np.ones(dashape) ; self.merwindtab = np.ones(dashape) |
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| 252 | self.meanvartab = np.ones(dashapemean) ; self.extvartab = np.ones(dashapeext) |
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| 253 | |
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| 254 | def getextvar(self,num): |
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| 255 | ### get a given var in extvartab |
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| 256 | try: field=self.extvartab[:,:,num] |
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| 257 | except: field=self.extvartab[:,num] |
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| 258 | return field |
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| 259 | |
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| 260 | def definefield(self,choice): |
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| 261 | ### for analysis or plot purposes, set field and field label from user-defined choice |
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| 262 | choice = self.convertlab(choice) |
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| 263 | field = self.getextvar(choice); fieldlab = self.getextvarlab(choice) |
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| 264 | return field,fieldlab |
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| 265 | |
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| 266 | def ininterv(self,dstart,dend,nd,start=None,end=None,yaxis=False): |
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| 267 | ### user-defined start and end are used to create xcoord (or ycoord) vector |
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| 268 | if start is not None and end is not None: first, second = self.correctbounds(start,end) |
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| 269 | else: first, second = self.correctbounds(dstart,dend) |
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| 270 | if not yaxis: self.xcoord = np.linspace(first,second,nd) |
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| 271 | else: self.ycoord = np.linspace(first,second,nd) |
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| 272 | ## here we should code the log axis for pressure |
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| 273 | |
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| 274 | def correctbounds(self,start,end): |
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| 275 | if self.zkey != 4: |
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| 276 | # regular altitudes |
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| 277 | if start > end: first = end ; second = start |
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| 278 | else: first = start ; second = end |
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| 279 | else: |
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| 280 | # pressure: reversed avis |
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| 281 | if start < end: first = end ; second = start |
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| 282 | else: first = start ; second = end |
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| 283 | return first, second |
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| 284 | |
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| 285 | ################### |
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| 286 | ### 1D analysis ### |
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| 287 | ################### |
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| 288 | |
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| 289 | def put1d(self,i): |
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| 290 | ## fill in subscript i in output arrays |
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| 291 | ## (arrays must have been correctly defined through prepare) |
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| 292 | if self.prestab is None: myplot.errormess("arrays must be prepared first through self.prepare") |
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| 293 | self.prestab[i] = self.pres ; self.denstab[i] = self.dens ; self.temptab[i] = self.temp |
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| 294 | self.zonwindtab[i] = self.zonwind ; self.merwindtab[i] = self.merwind |
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| 295 | self.meanvartab[i,1:5] = self.meanvar[0:4] ## note: var numbering according to MCD manual is kept |
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| 296 | self.extvartab[i,1:100] = self.extvar[0:99] ## note: var numbering according to MCD manual is kept |
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| 297 | |
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| 298 | def diurnal(self,nd=13): |
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| 299 | ### retrieve a local time slice |
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| 300 | self.xlabel = "Local time (Martian hour)" |
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| 301 | self.prepare(ndx=nd) ; self.ininterv(0.,24.,nd,start=self.locts,end=self.locte) |
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| 302 | for i in range(nd): self.loct = self.xcoord[i] ; self.update() ; self.put1d(i) |
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| 303 | |
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| 304 | def zonal(self,nd=37): |
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| 305 | ### retrieve a longitude slice |
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| 306 | self.xlabel = "East longitude (degrees)" |
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| 307 | self.prepare(ndx=nd) ; self.ininterv(-180.,180.,nd,start=self.lons,end=self.lone) |
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| 308 | for i in range(nd): self.lon = self.xcoord[i] ; self.update() ; self.put1d(i) |
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| 309 | |
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| 310 | def meridional(self,nd=19): |
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| 311 | ### retrieve a latitude slice |
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| 312 | self.xlabel = "North latitude (degrees)" |
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| 313 | self.prepare(ndx=nd) ; self.ininterv(-90.,90.,nd,start=self.lats,end=self.late) |
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| 314 | for i in range(nd): self.lat = self.xcoord[i] ; self.update() ; self.put1d(i) |
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| 315 | |
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| 316 | def profile(self,nd=20,tabperso=None): |
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| 317 | ### retrieve an altitude slice (profile) |
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| 318 | self.xlabel = "Altitude (m)" |
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| 319 | if tabperso is not None: nd = len(tabperso) |
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| 320 | correct = False |
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| 321 | self.prepare(ndx=nd) ; self.ininterv(0.,120000.,nd,start=self.xzs,end=self.xze) |
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| 322 | if tabperso is not None: self.xcoord = tabperso |
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| 323 | for i in range(nd): self.xz = self.xcoord[i] ; self.update() ; self.put1d(i) |
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| 324 | |
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| 325 | def seasonal(self,nd=12): |
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| 326 | ### retrieve a seasonal slice |
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| 327 | self.xlabel = "Areocentric longitude (degrees)" |
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| 328 | self.prepare(ndx=nd) ; self.ininterv(0.,360.,nd,start=self.xdates,end=self.xdatee) |
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| 329 | for i in range(nd): self.xdate = self.xcoord[i] ; self.update() ; self.put1d(i) |
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| 330 | |
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| 331 | def makeplot1d(self,choice,vertplot=0): |
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| 332 | ### one 1D plot is created for the user-defined variable in choice. |
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| 333 | (field, fieldlab) = self.definefield(choice) |
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| 334 | if vertplot != 1: absc = self.xcoord ; ordo = field ; ordolab = fieldlab ; absclab = self.xlabel |
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| 335 | else: ordo = self.xcoord ; absc = field ; absclab = fieldlab ; ordolab = self.xlabel |
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| 336 | mpl.plot(absc,ordo,'-bo') ; mpl.ylabel(ordolab) ; mpl.xlabel(absclab) #; mpl.xticks(query.xcoord) |
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| 337 | mpl.figtext(0.5, 0.01, "Mars Climate Database (c) LMD/OU/IAA/ESA/CNES", ha='center') |
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| 338 | |
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| 339 | def plot1d(self,tabtodo,vertplot=0): |
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| 340 | ### complete 1D figure with possible multiplots |
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| 341 | if isinstance(tabtodo,np.str): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
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| 342 | if isinstance(tabtodo,np.int): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
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| 343 | fig = mpl.figure() ; subv,subh = myplot.definesubplot( len(tabtodo) , fig ) |
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| 344 | for i in range(len(tabtodo)): mpl.subplot(subv,subh,i+1).grid(True, linestyle=':', color='grey') ; self.makeplot1d(tabtodo[i],vertplot) |
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| 345 | |
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| 346 | def htmlplot1d(self,tabtodo,vertplot=0,figname="temp.png"): |
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| 347 | ### complete 1D figure with possible multiplots |
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| 348 | ### added in 09/2012 for online MCD |
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| 349 | ### see http://www.dalkescientific.com/writings/diary/archive/2005/04/23/matplotlib_without_gui.html |
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| 350 | from matplotlib.figure import Figure |
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| 351 | from matplotlib.backends.backend_agg import FigureCanvasAgg |
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| 352 | if isinstance(tabtodo,np.str): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
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| 353 | if isinstance(tabtodo,np.int): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
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| 354 | fig = Figure(figsize=(8,8)) ; subv,subh = myplot.definesubplot( len(tabtodo) , fig ) |
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| 355 | for i in range(len(tabtodo)): |
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| 356 | yeah = fig.add_subplot(subv,subh,i+1) #.grid(True, linestyle=':', color='grey') |
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| 357 | choice = tabtodo[i] |
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| 358 | (field, fieldlab) = self.definefield(choice) |
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| 359 | if vertplot != 1: absc = self.xcoord ; ordo = field ; ordolab = fieldlab ; absclab = self.xlabel |
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| 360 | else: ordo = self.xcoord ; absc = field ; absclab = fieldlab ; ordolab = self.xlabel |
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| 361 | yeah.plot(absc,ordo,'-bo') #; mpl.xticks(query.xcoord) |
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| 362 | ax = fig.gca() ; ax.set_ylabel(ordolab) ; ax.set_xlabel(absclab) |
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| 363 | fig.text(0.5, 0.01, "Mars Climate Database (c) LMD/OU/IAA/ESA/CNES", ha='center') |
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| 364 | canvas = FigureCanvasAgg(fig) |
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| 365 | # The size * the dpi gives the final image size |
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| 366 | # a4"x4" image * 80 dpi ==> 320x320 pixel image |
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| 367 | canvas.print_figure(figname, dpi=80) |
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| 368 | |
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| 369 | ################### |
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| 370 | ### 2D analysis ### |
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| 371 | ################### |
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| 372 | |
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| 373 | def latlon(self,ndx=37,ndy=19,fixedlt=False): |
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| 374 | ### retrieve a latitude/longitude slice |
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| 375 | ### default is: local time is not fixed. user-defined local time is at longitude 0. |
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| 376 | self.xlabel = "East longitude (degrees)" ; self.ylabel = "North latitude (degrees)" |
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| 377 | self.prepare(ndx=ndx,ndy=ndy) |
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| 378 | self.ininterv(-180.,180.,ndx,start=self.lons,end=self.lone) |
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| 379 | self.ininterv(-90., 90.,ndy,start=self.lats,end=self.late,yaxis=True) |
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| 380 | if not fixedlt: umst = self.loct |
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| 381 | for i in range(ndx): |
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| 382 | for j in range(ndy): |
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| 383 | self.lon = self.xcoord[i] ; self.lat = self.ycoord[j] |
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| 384 | if not fixedlt: self.loct = (umst + self.lon/15.) % 24 |
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| 385 | self.update() ; self.put2d(i,j) |
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| 386 | if not fixedlt: self.loct = umst |
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| 387 | |
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| 388 | def put2d(self,i,j): |
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| 389 | ## fill in subscript i,j in output arrays |
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| 390 | ## (arrays must have been correctly defined through prepare) |
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| 391 | if self.prestab is None: myplot.errormess("arrays must be prepared first through self.prepare") |
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| 392 | self.prestab[i,j] = self.pres ; self.denstab[i,j] = self.dens ; self.temptab[i,j] = self.temp |
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| 393 | self.zonwindtab[i,j] = self.zonwind ; self.merwindtab[i,j] = self.merwind |
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| 394 | self.meanvartab[i,j,1:5] = self.meanvar[0:4] ## note: var numbering according to MCD manual is kept |
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| 395 | self.extvartab[i,j,1:100] = self.extvar[0:99] ## note: var numbering according to MCD manual is kept |
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| 396 | |
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| 397 | def makemap2d(self,choice,incwind=False,fixedlt=False,proj="cyl"): |
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| 398 | ### one 2D map is created for the user-defined variable in choice. |
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| 399 | self.latlon(fixedlt=fixedlt) ## a map is implicitely a lat-lon plot. otherwise it is a plot (cf. makeplot2d) |
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| 400 | if choice == "wind" or incwind: |
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| 401 | (windx, fieldlabwx) = self.definefield("u") |
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| 402 | (windy, fieldlabwy) = self.definefield("v") |
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| 403 | if choice == "wind": |
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| 404 | field = np.sqrt(windx*windx + windy*windy) |
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| 405 | fieldlab = "Horizontal wind speed (m/s)" |
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| 406 | else: |
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| 407 | (field, fieldlab) = self.definefield(choice) |
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| 408 | if incwind: myplot.maplatlon(self.xcoord,self.ycoord,field,title=fieldlab,proj=proj,vecx=windx,vecy=windy) #,stride=1) |
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| 409 | else: myplot.maplatlon(self.xcoord,self.ycoord,field,title=fieldlab,proj=proj) |
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| 410 | mpl.figtext(0.5, 0.0, "Mars Climate Database (c) LMD/OU/IAA/ESA/CNES", ha='center') |
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| 411 | |
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| 412 | def map2d(self,tabtodo,incwind=False,fixedlt=False,proj="cyl"): |
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| 413 | ### complete 2D figure with possible multiplots |
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| 414 | if isinstance(tabtodo,np.str): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
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| 415 | if isinstance(tabtodo,np.int): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
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| 416 | fig = mpl.figure() |
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| 417 | subv,subh = myplot.definesubplot( len(tabtodo) , fig ) |
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| 418 | for i in range(len(tabtodo)): mpl.subplot(subv,subh,i+1) ; self.makemap2d(tabtodo[i],incwind=incwind,fixedlt=fixedlt,proj=proj) |
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| 419 | |
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| 420 | def htmlmap2d(self,tabtodo,incwind=False,fixedlt=False,figname="temp.png",title=""): |
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| 421 | ### complete 2D figure with possible multiplots |
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| 422 | ### added in 09/2012 for online MCD |
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| 423 | ### see http://www.dalkescientific.com/writings/diary/archive/2005/04/23/matplotlib_without_gui.html |
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| 424 | from matplotlib.figure import Figure |
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| 425 | from matplotlib.backends.backend_agg import FigureCanvasAgg |
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| 426 | from matplotlib.cm import get_cmap |
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| 427 | if isinstance(tabtodo,np.str): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
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| 428 | if isinstance(tabtodo,np.int): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
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| 429 | fig = Figure(figsize=(8,8)) ; subv,subh = myplot.definesubplot( len(tabtodo) , fig ) |
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| 430 | |
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| 431 | ### topocontours |
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| 432 | fieldc = self.getextvar(self.convertlab("topo")) |
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| 433 | |
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| 434 | for i in range(len(tabtodo)): |
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| 435 | yeah = fig.add_subplot(subv,subh,i+1) |
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| 436 | choice = tabtodo[i] |
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| 437 | self.latlon(fixedlt=fixedlt) |
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| 438 | ## a map is implicitely a lat-lon plot. otherwise it is a plot (cf. makeplot2d) |
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| 439 | (field, fieldlab) = self.definefield(choice) |
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| 440 | if incwind: (windx, fieldlabwx) = self.definefield("u") ; (windy, fieldlabwy) = self.definefield("v") |
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| 441 | |
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| 442 | proj="cyl" ; colorb="jet" ; ndiv=20 ; zeback="molabw" ; trans=1.0 #0.6 |
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| 443 | title="" ; vecx=None ; vecy=None ; stride=2 |
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| 444 | lon = self.xcoord |
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| 445 | lat = self.ycoord |
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| 446 | |
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| 447 | ### get lon and lat in 2D version. get lat/lon intervals |
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| 448 | #numdim = len(np.array(lon).shape) |
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| 449 | #if numdim == 2: [lon2d,lat2d] = [lon,lat] |
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| 450 | #elif numdim == 1: [lon2d,lat2d] = np.meshgrid(lon,lat) |
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| 451 | #else: errormess("lon and lat arrays must be 1D or 2D") |
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| 452 | #[wlon,wlat] = myplot.latinterv() |
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| 453 | ### define projection and background. define x and y given the projection |
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| 454 | #m = basemap.Basemap(projection='moll') marche pas |
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| 455 | #m = myplot.define_proj(proj,wlon,wlat,back=zeback,blat=None,blon=None) |
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| 456 | #x, y = m(lon2d, lat2d) |
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| 457 | ### TEMP |
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| 458 | x = lon ; y = lat |
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| 459 | ## define field. bound field. |
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| 460 | what_I_plot = np.transpose(field) |
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| 461 | zevmin, zevmax = myplot.calculate_bounds(what_I_plot) ## vmin=min(what_I_plot_frame), vmax=max(what_I_plot_frame)) |
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| 462 | what_I_plot = myplot.bounds(what_I_plot,zevmin,zevmax) |
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| 463 | ## define contour field levels. define color palette |
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| 464 | ticks = ndiv + 1 |
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| 465 | zelevels = np.linspace(zevmin,zevmax,ticks) |
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| 466 | palette = get_cmap(name=colorb) |
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| 467 | ## contours topo |
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| 468 | zelevc = np.linspace(-8000.,20000.,20) |
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| 469 | yeah.contour( x, y, np.transpose(fieldc), zelevc, colors='black',linewidths = 0.4) |
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| 470 | # contour field |
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| 471 | c = yeah.contourf( x, y, what_I_plot, zelevels, cmap = palette, alpha = trans ) |
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| 472 | Figure.colorbar(fig,c,orientation='vertical',format="%.1e") |
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| 473 | ax = fig.gca() ; ax.set_title(fieldlab) ; ax.set_ylabel("Latitude") ; ax.set_xlabel("Longitude") |
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| 474 | ax.set_xticks(np.arange(-180,181,45)) ; ax.set_xbound(lower=self.lons, upper=self.lone) |
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| 475 | ax.set_yticks(np.arange(-90,91,30)) ; ax.set_ybound(lower=self.lats, upper=self.late) |
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| 476 | if incwind: |
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| 477 | [x2d,y2d] = np.meshgrid(x,y) |
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| 478 | yeah.quiver(x2d,y2d,np.transpose(windx),np.transpose(windy)) |
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| 479 | fig.text(0.5, 0.95, title, ha='center') |
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| 480 | fig.text(0.5, 0.01, "Mars Climate Database (c) LMD/OU/IAA/ESA/CNES", ha='center') |
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| 481 | canvas = FigureCanvasAgg(fig) |
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| 482 | # The size * the dpi gives the final image size |
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| 483 | # a4"x4" image * 80 dpi ==> 320x320 pixel image |
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| 484 | canvas.print_figure(figname, dpi=80) |
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| 485 | |
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| 486 | |
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| 487 | ### TODO: makeplot2d, plot2d, passer plot settings |
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| 488 | |
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