| 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" |
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| 30 | self.ack = "Mars Climate Database (c) LMD/OU/IAA/ESA/CNES" |
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| 31 | #self.dset = '/home/aymeric/Science/MCD_v4.3/data/' |
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| 32 | self.dset = '/home/marshttp/MCD_v4.3/data/' |
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| 33 | ## 1. spatio-temporal coordinates |
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| 34 | self.lat = 0. |
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| 35 | self.lats = None |
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| 36 | self.late = None |
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| 37 | self.lon = 0. |
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| 38 | self.lons = None |
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| 39 | self.lone = None |
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| 40 | self.loct = 0. |
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| 41 | self.locts = None |
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| 42 | self.locte = None |
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| 43 | self.xdate = 0. # see datekey |
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| 44 | self.xdates = None |
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| 45 | self.xdatee = None |
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| 46 | self.xz = 10. # see zkey |
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| 47 | self.xzs = None |
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| 48 | self.xze = None |
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| 49 | ## 1bis. related settings |
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| 50 | self.zkey = 3 # specify that xz is the altitude above surface (m) |
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| 51 | # zkey : <integer> type of vertical coordinate xz |
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| 52 | # 1 = radius from centre of planet (m) |
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| 53 | # 2 = height above areoid (m) (MOLA zero datum) |
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| 54 | # 3 = height above surface (m) |
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| 55 | # 4 = pressure level (Pa) |
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| 56 | # 5 = altitude above mean Mars Radius(=3396000m) (m) |
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| 57 | self.datekey = 1 # 0 = "Earth time": xdate is given in Julian days (localtime must be set to zero) |
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| 58 | # 1 = "Mars date": xdate is the value of Ls |
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| 59 | ## 2. climatological options |
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| 60 | self.dust = 2 #our best guess MY24 scenario, with solar average conditions |
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| 61 | self.hrkey = 1 #set high resolution mode on (hrkey=0 to set high resolution off) |
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| 62 | ## 3. additional settings for advanced use |
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| 63 | self.extvarkey = 1 #extra output variables (1: yes, 0: no) |
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| 64 | self.perturkey = 0 #integer perturkey ! perturbation type (0: none) |
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| 65 | self.seedin = 1 #random number generator seed (unused if perturkey=0) |
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| 66 | self.gwlength = 0. #gravity Wave wavelength (unused if perturkey=0) |
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| 67 | ## outputs. just to define attributes. |
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| 68 | ## --> in update |
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| 69 | 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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| 70 | self.seedout = None ; self.ierr = None |
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| 71 | ## --> in prepare |
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| 72 | self.xcoord = None ; self.ycoord = None |
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| 73 | self.prestab = None ; self.denstab = None ; self.temptab = None |
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| 74 | self.zonwindtab = None ; self.merwindtab = None ; self.meanvartab = None ; self.extvartab = None |
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| 75 | ## plot stuff |
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| 76 | self.xlabel = None ; self.ylabel = None |
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| 77 | self.vertplot = False |
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| 78 | |
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| 79 | 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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| 80 | 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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| 81 | |
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| 82 | def getdustlabel(self): |
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| 83 | if self.dust == 1: self.dustlabel = "MY24 minimum solar scenario" |
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| 84 | elif self.dust == 2: self.dustlabel = "MY24 average solar scenario" |
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| 85 | elif self.dust == 3: self.dustlabel = "MY24 maximum solar scenario" |
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| 86 | elif self.dust == 4: self.dustlabel = "dust storm minimum solar scenario" |
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| 87 | elif self.dust == 5: self.dustlabel = "dust storm average solar scenario" |
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| 88 | elif self.dust == 6: self.dustlabel = "dust storm maximum solar scenario" |
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| 89 | elif self.dust == 7: self.dustlabel = "warm scenario (dusty, maximum solar)" |
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| 90 | elif self.dust == 8: self.dustlabel = "cold scenario (low dust, minimum solar)" |
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| 91 | |
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| 92 | def gettitle(self): |
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| 93 | self.getdustlabel() |
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| 94 | self.title = self.name + " with " + self.dustlabel + "." |
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| 95 | if self.lats is None: self.title = self.title + " Latitude " + str(self.lat) + "E" |
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| 96 | if self.lons is None: self.title = self.title + " Longitude " + str(self.lon) + "N" |
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| 97 | if self.xzs is None: |
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| 98 | self.vertunits() |
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| 99 | self.title = self.title + " Altitude " + str(self.xz) + " " + self.vunits |
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| 100 | if self.locts is None: self.title = self.title + " Local time " + str(self.loct) + "h" |
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| 101 | |
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| 102 | def getextvarlab(self,num): |
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| 103 | whichfield = { \ |
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| 104 | 91: "Pressure (Pa)", \ |
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| 105 | 92: "Density (kg/m3)", \ |
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| 106 | 93: "Temperature (K)", \ |
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| 107 | 94: "W-E wind component (m/s)", \ |
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| 108 | 95: "S-N wind component (m/s)", \ |
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| 109 | 1: "Radial distance from planet center (m)",\ |
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| 110 | 2: "Altitude above areoid (Mars geoid) (m)",\ |
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| 111 | 3: "Altitude above local surface (m)",\ |
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| 112 | 4: "orographic height (m) (surf alt above areoid)",\ |
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| 113 | 5: "Ls, solar longitude of Mars (deg)",\ |
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| 114 | 6: "LST local true solar time (hrs)",\ |
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| 115 | 7: "Universal solar time (LST at lon=0) (hrs)",\ |
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| 116 | 8: "Air heat capacity Cp (J kg-1 K-1)",\ |
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| 117 | 9: "gamma=Cp/Cv Ratio of specific heats",\ |
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| 118 | 10: "density RMS day to day variations (kg/m^3)",\ |
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| 119 | 11: "[not defined]",\ |
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| 120 | 12: "[not defined]",\ |
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| 121 | 13: "scale height H(p) (m)",\ |
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| 122 | 14: "GCM orography (m)",\ |
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| 123 | 15: "surface temperature (K)",\ |
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| 124 | 16: "daily max mean surface temperature (K)",\ |
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| 125 | 17: "daily min mean surface temperature (K)",\ |
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| 126 | 18: "surf. temperature RMS day to day variations (K)",\ |
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| 127 | 19: "surface pressure (high resolution if hireskey=1)",\ |
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| 128 | 20: "GCM surface pressure (Pa)",\ |
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| 129 | 21: "atmospheric pressure RMS day to day variations (Pa)",\ |
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| 130 | 22: "surface pressure RMS day to day variations (Pa)",\ |
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| 131 | 23: "temperature RMS day to day variations (K)",\ |
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| 132 | 24: "zonal wind RMS day to day variations (m/s)",\ |
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| 133 | 25: "meridional wind RMS day to day variations (m/s)",\ |
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| 134 | 26: "vertical wind component (m/s) >0 when downwards!",\ |
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| 135 | 27: "vertical wind RMS day to day variations (m/s)",\ |
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| 136 | 28: "small scale perturbation (gravity wave) (kg/m^3)",\ |
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| 137 | 29: "q2: turbulent kinetic energy (m2/s2)",\ |
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| 138 | 30: "[not defined]",\ |
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| 139 | 31: "thermal IR flux to surface (W/m2)",\ |
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| 140 | 32: "solar flux to surface (W/m2)",\ |
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| 141 | 33: "thermal IR flux to space (W/m2)",\ |
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| 142 | 34: "solar flux reflected to space (W/m2)",\ |
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| 143 | 35: "surface CO2 ice layer (kg/m2)",\ |
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| 144 | 36: "DOD: Dust column visible optical depth",\ |
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| 145 | 37: "Dust mass mixing ratio (kg/kg)",\ |
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| 146 | 38: "DOD RMS day to day variations",\ |
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| 147 | 39: "DOD total standard deviation over season",\ |
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| 148 | 40: "Water vapor column (kg/m2)",\ |
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| 149 | 41: "Water vapor vol. mixing ratio (mol/mol)",\ |
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| 150 | 42: "Water ice column (kg/m2)",\ |
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| 151 | 43: "Water ice mixing ratio (mol/mol)",\ |
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| 152 | 44: "O3 ozone vol. mixing ratio (mol/mol)",\ |
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| 153 | 45: "[CO2] vol. mixing ratio (mol/mol)",\ |
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| 154 | 46: "[O] vol. mixing ratio (mol/mol)",\ |
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| 155 | 47: "[N2] vol. mixing ratio (mol/mol)",\ |
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| 156 | 48: "[CO] vol. mixing ratio (mol/mol)",\ |
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| 157 | 49: "R: Molecular gas constant (J K-1 kg-1)",\ |
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| 158 | 50: "Air viscosity estimation (N s m-2)" |
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| 159 | } |
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| 160 | if num not in whichfield: myplot.errormess("Incorrect subscript in extvar.") |
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| 161 | return whichfield[num] |
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| 162 | |
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| 163 | def convertlab(self,num): |
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| 164 | ## a conversion from text inquiries to extvar numbers. to be completed. |
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| 165 | if num == "p": num = 91 |
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| 166 | elif num == "rho": num = 92 |
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| 167 | elif num == "t": num = 93 |
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| 168 | elif num == "u": num = 94 |
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| 169 | elif num == "v": num = 95 |
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| 170 | elif num == "tsurf": num = 15 |
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| 171 | elif num == "topo": num = 4 |
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| 172 | elif num == "h": num = 13 |
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| 173 | elif num == "ps": num = 19 |
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| 174 | elif num == "tau": num = 36 |
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| 175 | elif num == "mtot": num = 40 |
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| 176 | elif num == "icetot": num = 42 |
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| 177 | elif num == "ps_ddv": num = 22 |
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| 178 | elif num == "h2ovap": num = 41 |
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| 179 | elif num == "h2oice": num = 43 |
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| 180 | elif num == "cp": num = 8 |
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| 181 | elif num == "rho_ddv": num = 10 |
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| 182 | elif num == "tsurfmx": num = 16 |
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| 183 | elif num == "tsurfmn": num = 17 |
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| 184 | elif num == "lwdown": num = 31 |
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| 185 | elif num == "swdown": num = 32 |
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| 186 | elif num == "lwup": num = 33 |
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| 187 | elif num == "swup": num = 34 |
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| 188 | elif num == "o3": num = 44 |
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| 189 | elif num == "o": num = 46 |
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| 190 | elif num == "co": num = 48 |
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| 191 | elif num == "visc": num = 50 |
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| 192 | elif num == "co2ice": num = 35 |
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| 193 | elif not isinstance(num, np.int): myplot.errormess("field reference not found.") |
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| 194 | return num |
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| 195 | |
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| 196 | ################### |
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| 197 | ### One request ### |
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| 198 | ################### |
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| 199 | |
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| 200 | def update(self): |
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| 201 | # retrieve fields from MCD (call_mcd). more info in fmcd.call_mcd.__doc__ |
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| 202 | (self.pres, self.dens, self.temp, self.zonwind, self.merwind, \ |
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| 203 | self.meanvar, self.extvar, self.seedout, self.ierr) \ |
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| 204 | = \ |
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| 205 | fmcd.call_mcd(self.zkey,self.xz,self.lon,self.lat,self.hrkey, \ |
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| 206 | self.datekey,self.xdate,self.loct,self.dset,self.dust, \ |
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| 207 | self.perturkey,self.seedin,self.gwlength,self.extvarkey ) |
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| 208 | ## we use the end of extvar (unused) to store meanvar. this is convenient for getextvar(lab) |
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| 209 | self.extvar[90] = self.pres ; self.extvar[91] = self.dens |
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| 210 | self.extvar[92] = self.temp ; self.extvar[93] = self.zonwind ; self.extvar[94] = self.merwind |
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| 211 | ## treat missing values |
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| 212 | if self.temp == -999: self.extvar[:] = np.NaN ; self.meanvar[:] = np.NaN |
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| 213 | |
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| 214 | def printset(self): |
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| 215 | # print main settings |
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| 216 | print "zkey",self.zkey,"xz",self.xz,"lon",self.lon,"lat",self.lat,"hrkey",self.hrkey, \ |
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| 217 | "xdate",self.xdate,"loct",self.loct,"dust",self.dust |
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| 218 | |
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| 219 | def getnameset(self): |
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| 220 | # set a name referring to settings [convenient for databases] |
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| 221 | strlat = str(self.lat)+str(self.lats)+str(self.late) |
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| 222 | strlon = str(self.lon)+str(self.lons)+str(self.lone) |
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| 223 | strxz = str(self.xz)+str(self.xzs)+str(self.xze) |
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| 224 | strloct = str(self.loct)+str(self.locts)+str(self.locte) |
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| 225 | name = str(self.zkey)+strxz+strlon+strlat+str(self.hrkey)+str(self.datekey)+str(self.xdate)+strloct+str(self.dust) |
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| 226 | return name |
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| 227 | |
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| 228 | def printcoord(self): |
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| 229 | # print requested space-time coordinates |
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| 230 | print "LAT",self.lat,"LON",self.lon,"LOCT",self.loct,"XDATE",self.xdate |
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| 231 | |
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| 232 | def printmeanvar(self): |
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| 233 | # print mean MCD variables |
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| 234 | print "Pressure = %5.3f pascals. " % (self.pres) |
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| 235 | print "Density = %5.3f kilograms per cubic meter. " % (self.dens) |
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| 236 | print "Temperature = %3.0f kelvins (%4.0f degrees celsius)." % (self.temp,self.temp-273.15) |
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| 237 | print "Zonal wind = %5.3f meters per second." % (self.zonwind) |
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| 238 | print "Meridional wind = %5.3f meters per second." % (self.merwind) |
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| 239 | print "Total horizontal wind = %5.3f meters per second." % ( np.sqrt(self.zonwind**2 + self.merwind**2) ) |
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| 240 | |
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| 241 | def printextvar(self,num): |
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| 242 | # print extra MCD variables |
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| 243 | num = self.convertlab(num) |
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| 244 | print self.getextvarlab(num) + " ..... " + str(self.extvar[num-1]) |
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| 245 | |
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| 246 | def printallextvar(self): |
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| 247 | # print all extra MCD variables |
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| 248 | for i in range(50): self.printextvar(i+1) |
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| 249 | |
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| 250 | def htmlprinttabextvar(self,tabtodo): |
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| 251 | print "Results from the Mars Climate Database" |
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| 252 | print "<ul>" |
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| 253 | for i in range(len(tabtodo)): print "<li>" ; self.printextvar(tabtodo[i]) ; print "</li>" |
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| 254 | print "</ul>" |
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| 255 | print "<hr>" |
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| 256 | print "SETTINGS<br />" |
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| 257 | self.printcoord() |
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| 258 | self.printset() |
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| 259 | |
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| 260 | def printmcd(self): |
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| 261 | # 1. call MCD 2. print settings 3. print mean vars |
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| 262 | self.update() |
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| 263 | self.printcoord() |
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| 264 | print "-------------------------------------------" |
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| 265 | self.printmeanvar() |
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| 266 | |
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| 267 | ######################## |
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| 268 | ### Several requests ### |
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| 269 | ######################## |
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| 270 | |
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| 271 | def prepare(self,ndx=None,ndy=None): |
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| 272 | ### prepare I/O arrays for 1d slices |
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| 273 | if ndx is None: print "No dimension in prepare. Exit. Set at least ndx." ; exit() |
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| 274 | else: self.xcoord = np.ones(ndx) |
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| 275 | if ndy is None: dashape = (ndx) ; dashapemean = (ndx,6) ; dashapeext = (ndx,101) ; self.ycoord = None |
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| 276 | else: dashape = (ndx,ndy) ; dashapemean = (ndx,ndy,6) ; dashapeext = (ndx,ndy,101) ; self.ycoord = np.ones(ndy) |
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| 277 | self.prestab = np.ones(dashape) ; self.denstab = np.ones(dashape) ; self.temptab = np.ones(dashape) |
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| 278 | self.zonwindtab = np.ones(dashape) ; self.merwindtab = np.ones(dashape) |
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| 279 | self.meanvartab = np.ones(dashapemean) ; self.extvartab = np.ones(dashapeext) |
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| 280 | |
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| 281 | def getextvar(self,num): |
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| 282 | ### get a given var in extvartab |
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| 283 | try: field=self.extvartab[:,:,num] |
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| 284 | except: field=self.extvartab[:,num] |
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| 285 | return field |
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| 286 | |
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| 287 | def definefield(self,choice): |
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| 288 | ### for analysis or plot purposes, set field and field label from user-defined choice |
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| 289 | choice = self.convertlab(choice) |
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| 290 | field = self.getextvar(choice); fieldlab = self.getextvarlab(choice) |
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| 291 | return field,fieldlab |
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| 292 | |
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| 293 | def ininterv(self,dstart,dend,nd,start=None,end=None,yaxis=False,vertcoord=False): |
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| 294 | ### user-defined start and end are used to create xcoord (or ycoord) vector |
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| 295 | if start is not None and end is not None: first, second = self.correctbounds(start,end,vertcoord) |
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| 296 | else: first, second = self.correctbounds(dstart,dend,vertcoord) |
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| 297 | if self.zkey != 4 or not vertcoord: tabtab = np.linspace(first,second,nd) |
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| 298 | else: tabtab = np.logspace(first,second,nd) |
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| 299 | if not yaxis: self.xcoord = tabtab |
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| 300 | else: self.ycoord = tabtab |
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| 301 | |
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| 302 | def correctbounds(self,start,end,vertcoord): |
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| 303 | if self.zkey != 4 or not vertcoord: |
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| 304 | # regular altitudes |
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| 305 | if start > end: first = end ; second = start |
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| 306 | else: first = start ; second = end |
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| 307 | else: |
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| 308 | # pressure: reversed avis |
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| 309 | if start < end: first = np.log10(end) ; second = np.log10(start) |
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| 310 | else: first = np.log10(start) ; second = np.log10(end) |
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| 311 | return first, second |
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| 312 | |
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| 313 | def vertlabel(self): |
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| 314 | if self.zkey == 1: self.xlabel = "radius from centre of planet (m)" |
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| 315 | elif self.zkey == 2: self.xlabel = "height above areoid (m) (MOLA zero datum)" |
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| 316 | elif self.zkey == 3: self.xlabel = "height above surface (m)" |
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| 317 | elif self.zkey == 4: self.xlabel = "pressure level (Pa)" |
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| 318 | elif self.zkey == 5: self.xlabel = "altitude above mean Mars Radius(=3396000m) (m)" |
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| 319 | |
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| 320 | def vertunits(self): |
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| 321 | if self.zkey == 1: self.vunits = "m CP" |
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| 322 | elif self.zkey == 2: self.vunits = "m AMR" |
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| 323 | elif self.zkey == 3: self.vunits = "m ALS" |
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| 324 | elif self.zkey == 4: self.vunits = "Pa" |
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| 325 | elif self.zkey == 5: self.vunits = "m AMMRad" |
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| 326 | |
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| 327 | def vertaxis(self,number,yaxis=False): |
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| 328 | if self.zkey == 2: self.ininterv(-5000.,100000.,number,start=self.xzs,end=self.xze,yaxis=yaxis,vertcoord=True) |
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| 329 | elif self.zkey == 3: self.ininterv(0.,120000.,number,start=self.xzs,end=self.xze,yaxis=yaxis,vertcoord=True) |
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| 330 | elif self.zkey == 5: self.ininterv(-5000.,100000.,number,start=self.xzs,end=self.xze,yaxis=yaxis,vertcoord=True) |
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| 331 | elif self.zkey == 4: self.ininterv(1000.,0.001,number,start=self.xzs,end=self.xze,yaxis=yaxis,vertcoord=True) |
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| 332 | elif self.zkey == 1: self.ininterv(3396000,3596000,number,start=self.xzs,end=self.xze,yaxis=yaxis,vertcoord=True) |
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| 333 | |
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| 334 | ################### |
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| 335 | ### 1D analysis ### |
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| 336 | ################### |
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| 337 | |
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| 338 | def put1d(self,i): |
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| 339 | ## fill in subscript i in output arrays |
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| 340 | ## (arrays must have been correctly defined through prepare) |
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| 341 | if self.prestab is None: myplot.errormess("arrays must be prepared first through self.prepare") |
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| 342 | self.prestab[i] = self.pres ; self.denstab[i] = self.dens ; self.temptab[i] = self.temp |
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| 343 | self.zonwindtab[i] = self.zonwind ; self.merwindtab[i] = self.merwind |
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| 344 | self.meanvartab[i,1:5] = self.meanvar[0:4] ## note: var numbering according to MCD manual is kept |
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| 345 | self.extvartab[i,1:100] = self.extvar[0:99] ## note: var numbering according to MCD manual is kept |
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| 346 | |
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| 347 | def diurnal(self,nd=13): |
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| 348 | ### retrieve a local time slice |
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| 349 | save = self.loct |
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| 350 | self.xlabel = "Local time (Martian hour)" |
|---|
| 351 | self.prepare(ndx=nd) ; self.ininterv(0.,24.,nd,start=self.locts,end=self.locte) |
|---|
| 352 | for i in range(nd): self.loct = self.xcoord[i] ; self.update() ; self.put1d(i) |
|---|
| 353 | self.loct = save |
|---|
| 354 | |
|---|
| 355 | def zonal(self,nd=37): |
|---|
| 356 | ### retrieve a longitude slice |
|---|
| 357 | save = self.lon |
|---|
| 358 | self.xlabel = "East longitude (degrees)" |
|---|
| 359 | self.prepare(ndx=nd) ; self.ininterv(-180.,180.,nd,start=self.lons,end=self.lone) |
|---|
| 360 | for i in range(nd): self.lon = self.xcoord[i] ; self.update() ; self.put1d(i) |
|---|
| 361 | self.lon = save |
|---|
| 362 | |
|---|
| 363 | def meridional(self,nd=19): |
|---|
| 364 | ### retrieve a latitude slice |
|---|
| 365 | save = self.lat |
|---|
| 366 | self.xlabel = "North latitude (degrees)" |
|---|
| 367 | self.prepare(ndx=nd) ; self.ininterv(-90.,90.,nd,start=self.lats,end=self.late) |
|---|
| 368 | for i in range(nd): self.lat = self.xcoord[i] ; self.update() ; self.put1d(i) |
|---|
| 369 | self.lat = save |
|---|
| 370 | |
|---|
| 371 | def profile(self,nd=20,tabperso=None): |
|---|
| 372 | ### retrieve an altitude slice (profile) |
|---|
| 373 | save = self.xz |
|---|
| 374 | self.vertlabel() |
|---|
| 375 | self.vertplot = True |
|---|
| 376 | if tabperso is not None: nd = len(tabperso) |
|---|
| 377 | correct = False |
|---|
| 378 | self.prepare(ndx=nd) ; self.vertaxis(nd) |
|---|
| 379 | if tabperso is not None: self.xcoord = tabperso |
|---|
| 380 | for i in range(nd): self.xz = self.xcoord[i] ; self.update() ; self.put1d(i) |
|---|
| 381 | self.xz = save |
|---|
| 382 | |
|---|
| 383 | def seasonal(self,nd=12): |
|---|
| 384 | ### retrieve a seasonal slice |
|---|
| 385 | save = self.xdate |
|---|
| 386 | self.xlabel = "Areocentric longitude (degrees)" |
|---|
| 387 | self.prepare(ndx=nd) ; self.ininterv(0.,360.,nd,start=self.xdates,end=self.xdatee) |
|---|
| 388 | for i in range(nd): self.xdate = self.xcoord[i] ; self.update() ; self.put1d(i) |
|---|
| 389 | self.xdate = save |
|---|
| 390 | |
|---|
| 391 | def makeplot1d(self,choice): |
|---|
| 392 | ### one 1D plot is created for the user-defined variable in choice. |
|---|
| 393 | (field, fieldlab) = self.definefield(choice) |
|---|
| 394 | if not self.vertplot: absc = self.xcoord ; ordo = field ; ordolab = fieldlab ; absclab = self.xlabel |
|---|
| 395 | else: ordo = self.xcoord ; absc = field ; absclab = fieldlab ; ordolab = self.xlabel |
|---|
| 396 | mpl.plot(absc,ordo,'-bo') ; mpl.ylabel(ordolab) ; mpl.xlabel(absclab) #; mpl.xticks(query.xcoord) |
|---|
| 397 | if self.zkey == 4: mpl.semilogy() ; ax = mpl.gca() ; ax.set_ylim(ax.get_ylim()[::-1]) |
|---|
| 398 | mpl.figtext(0.5, 0.01, self.ack, ha='center') |
|---|
| 399 | |
|---|
| 400 | def plot1d(self,tabtodo): |
|---|
| 401 | ### complete 1D figure with possible multiplots |
|---|
| 402 | if isinstance(tabtodo,np.str): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
|---|
| 403 | if isinstance(tabtodo,np.int): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
|---|
| 404 | fig = mpl.figure() ; subv,subh = myplot.definesubplot( len(tabtodo) , fig ) |
|---|
| 405 | for i in range(len(tabtodo)): mpl.subplot(subv,subh,i+1).grid(True, linestyle=':', color='grey') ; self.makeplot1d(tabtodo[i]) |
|---|
| 406 | |
|---|
| 407 | def htmlplot1d(self,tabtodo,figname="temp.png",title=""): |
|---|
| 408 | ### complete 1D figure with possible multiplots |
|---|
| 409 | ### added in 09/2012 for online MCD |
|---|
| 410 | ### see http://www.dalkescientific.com/writings/diary/archive/2005/04/23/matplotlib_without_gui.html |
|---|
| 411 | from matplotlib.figure import Figure |
|---|
| 412 | from matplotlib.backends.backend_agg import FigureCanvasAgg |
|---|
| 413 | if isinstance(tabtodo,np.str): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
|---|
| 414 | if isinstance(tabtodo,np.int): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
|---|
| 415 | fig = Figure(figsize=(8,8)) ; subv,subh = myplot.definesubplot( len(tabtodo) , fig ) |
|---|
| 416 | for i in range(len(tabtodo)): |
|---|
| 417 | yeah = fig.add_subplot(subv,subh,i+1) #.grid(True, linestyle=':', color='grey') |
|---|
| 418 | choice = tabtodo[i] |
|---|
| 419 | (field, fieldlab) = self.definefield(choice) |
|---|
| 420 | if not self.vertplot: absc = self.xcoord ; ordo = field ; ordolab = fieldlab ; absclab = self.xlabel |
|---|
| 421 | else: ordo = self.xcoord ; absc = field ; absclab = fieldlab ; ordolab = self.xlabel |
|---|
| 422 | yeah.plot(absc,ordo,'-bo') #; mpl.xticks(query.xcoord) |
|---|
| 423 | ax = fig.gca() ; ax.set_ylabel(ordolab) ; ax.set_xlabel(absclab) |
|---|
| 424 | if self.zkey == 4: ax.set_yscale('log') ; ax.set_ylim(ax.get_ylim()[::-1]) |
|---|
| 425 | self.gettitle() |
|---|
| 426 | fig.text(0.5, 0.95, self.title, ha='center') |
|---|
| 427 | fig.text(0.5, 0.01, self.ack, ha='center') |
|---|
| 428 | canvas = FigureCanvasAgg(fig) |
|---|
| 429 | # The size * the dpi gives the final image size |
|---|
| 430 | # a4"x4" image * 80 dpi ==> 320x320 pixel image |
|---|
| 431 | canvas.print_figure(figname, dpi=80) |
|---|
| 432 | |
|---|
| 433 | ################### |
|---|
| 434 | ### 2D analysis ### |
|---|
| 435 | ################### |
|---|
| 436 | |
|---|
| 437 | def latlon(self,ndx=37,ndy=19,fixedlt=False): |
|---|
| 438 | ### retrieve a latitude/longitude slice |
|---|
| 439 | ### default is: local time is not fixed. user-defined local time is at longitude 0. |
|---|
| 440 | save1 = self.lon ; save2 = self.lat ; save3 = self.loct |
|---|
| 441 | self.xlabel = "East longitude (degrees)" ; self.ylabel = "North latitude (degrees)" |
|---|
| 442 | self.prepare(ndx=ndx,ndy=ndy) |
|---|
| 443 | self.ininterv(-180.,180.,ndx,start=self.lons,end=self.lone) |
|---|
| 444 | self.ininterv(-90., 90.,ndy,start=self.lats,end=self.late,yaxis=True) |
|---|
| 445 | if not fixedlt: umst = self.loct |
|---|
| 446 | for i in range(ndx): |
|---|
| 447 | for j in range(ndy): |
|---|
| 448 | self.lon = self.xcoord[i] ; self.lat = self.ycoord[j] |
|---|
| 449 | if not fixedlt: |
|---|
| 450 | if self.lons is not None and self.lone is not None: self.loct = (umst + (self.lons+self.lone)/30.) % 24 |
|---|
| 451 | else: self.loct = (umst + self.lon/15.) % 24 |
|---|
| 452 | self.update() ; self.put2d(i,j) |
|---|
| 453 | if not fixedlt: self.loct = umst |
|---|
| 454 | self.lon = save1 ; self.lat = save2 ; self.loct = save3 |
|---|
| 455 | |
|---|
| 456 | def lonalt(self,ndx=37,ndy=20,fixedlt=False): |
|---|
| 457 | ### retrieve a longitude/altitude slice |
|---|
| 458 | save1 = self.lon ; save2 = self.xz ; save3 = self.loct |
|---|
| 459 | self.vertlabel() ; self.ylabel = self.xlabel |
|---|
| 460 | self.xlabel = "East longitude (degrees)" |
|---|
| 461 | self.prepare(ndx=ndx,ndy=ndy) |
|---|
| 462 | self.ininterv(-180.,180.,ndx,start=self.lons,end=self.lone) |
|---|
| 463 | self.vertaxis(ndy,yaxis=True) |
|---|
| 464 | if not fixedlt: umst = self.loct |
|---|
| 465 | for i in range(ndx): |
|---|
| 466 | for j in range(ndy): |
|---|
| 467 | self.lon = self.xcoord[i] ; self.xz = self.ycoord[j] |
|---|
| 468 | if not fixedlt: |
|---|
| 469 | if self.lons is not None and self.lone is not None: self.loct = (umst + (self.lons+self.lone)/30.) % 24 |
|---|
| 470 | else: self.loct = (umst + self.lon/15.) % 24 |
|---|
| 471 | self.update() ; self.put2d(i,j) |
|---|
| 472 | if not fixedlt: self.loct = umst |
|---|
| 473 | self.lon = save1 ; self.xz = save2 ; self.loct = save3 |
|---|
| 474 | |
|---|
| 475 | def latalt(self,ndx=19,ndy=20,fixedlt=False): |
|---|
| 476 | ### retrieve a latitude/altitude slice |
|---|
| 477 | save1 = self.lat ; save2 = self.xz ; save3 = self.loct |
|---|
| 478 | self.vertlabel() ; self.ylabel = self.xlabel |
|---|
| 479 | self.xlabel = "North latitude (degrees)" |
|---|
| 480 | self.prepare(ndx=ndx,ndy=ndy) |
|---|
| 481 | self.ininterv(-90.,90.,ndx,start=self.lats,end=self.late) |
|---|
| 482 | self.vertaxis(ndy,yaxis=True) |
|---|
| 483 | if not fixedlt: umst = self.loct |
|---|
| 484 | for i in range(ndx): |
|---|
| 485 | for j in range(ndy): |
|---|
| 486 | self.lat = self.xcoord[i] ; self.xz = self.ycoord[j] |
|---|
| 487 | if not fixedlt: self.loct = (umst + self.lon/15.) % 24 |
|---|
| 488 | self.update() ; self.put2d(i,j) |
|---|
| 489 | if not fixedlt: self.loct = umst |
|---|
| 490 | self.lat = save1 ; self.xz = save2 ; self.loct = save3 |
|---|
| 491 | |
|---|
| 492 | def put2d(self,i,j): |
|---|
| 493 | ## fill in subscript i,j in output arrays |
|---|
| 494 | ## (arrays must have been correctly defined through prepare) |
|---|
| 495 | if self.prestab is None: myplot.errormess("arrays must be prepared first through self.prepare") |
|---|
| 496 | self.prestab[i,j] = self.pres ; self.denstab[i,j] = self.dens ; self.temptab[i,j] = self.temp |
|---|
| 497 | self.zonwindtab[i,j] = self.zonwind ; self.merwindtab[i,j] = self.merwind |
|---|
| 498 | self.meanvartab[i,j,1:5] = self.meanvar[0:4] ## note: var numbering according to MCD manual is kept |
|---|
| 499 | self.extvartab[i,j,1:100] = self.extvar[0:99] ## note: var numbering according to MCD manual is kept |
|---|
| 500 | |
|---|
| 501 | def makemap2d(self,choice,incwind=False,fixedlt=False,proj="cyl"): |
|---|
| 502 | ### one 2D map is created for the user-defined variable in choice. |
|---|
| 503 | self.latlon(fixedlt=fixedlt) ## a map is implicitely a lat-lon plot. otherwise it is a plot (cf. makeplot2d) |
|---|
| 504 | if choice == "wind" or incwind: |
|---|
| 505 | (windx, fieldlabwx) = self.definefield("u") |
|---|
| 506 | (windy, fieldlabwy) = self.definefield("v") |
|---|
| 507 | if choice == "wind": |
|---|
| 508 | field = np.sqrt(windx*windx + windy*windy) |
|---|
| 509 | fieldlab = "Horizontal wind speed (m/s)" |
|---|
| 510 | else: |
|---|
| 511 | (field, fieldlab) = self.definefield(choice) |
|---|
| 512 | if incwind: myplot.maplatlon(self.xcoord,self.ycoord,field,title=fieldlab,proj=proj,vecx=windx,vecy=windy) #,stride=1) |
|---|
| 513 | else: myplot.maplatlon(self.xcoord,self.ycoord,field,title=fieldlab,proj=proj) |
|---|
| 514 | mpl.figtext(0.5, 0.0, self.ack, ha='center') |
|---|
| 515 | |
|---|
| 516 | def map2d(self,tabtodo,incwind=False,fixedlt=False,proj="cyl"): |
|---|
| 517 | ### complete 2D figure with possible multiplots |
|---|
| 518 | if isinstance(tabtodo,np.str): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
|---|
| 519 | if isinstance(tabtodo,np.int): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
|---|
| 520 | fig = mpl.figure() |
|---|
| 521 | subv,subh = myplot.definesubplot( len(tabtodo) , fig ) |
|---|
| 522 | for i in range(len(tabtodo)): mpl.subplot(subv,subh,i+1) ; self.makemap2d(tabtodo[i],incwind=incwind,fixedlt=fixedlt,proj=proj) |
|---|
| 523 | |
|---|
| 524 | def htmlmap2d(self,tabtodo,incwind=False,fixedlt=False,figname="temp.png",title="",back="zMOL"): |
|---|
| 525 | ### complete 2D figure with possible multiplots |
|---|
| 526 | ### added in 09/2012 for online MCD |
|---|
| 527 | ### see http://www.dalkescientific.com/writings/diary/archive/2005/04/23/matplotlib_without_gui.html |
|---|
| 528 | from matplotlib.figure import Figure |
|---|
| 529 | from matplotlib.backends.backend_agg import FigureCanvasAgg |
|---|
| 530 | from matplotlib.cm import get_cmap |
|---|
| 531 | |
|---|
| 532 | #from mpl_toolkits.basemap import Basemap |
|---|
| 533 | |
|---|
| 534 | from Scientific.IO import NetCDF |
|---|
| 535 | filename = "/home/marshttp/surface.nc" |
|---|
| 536 | zefile = NetCDF.NetCDFFile(filename, 'r') |
|---|
| 537 | fieldc = zefile.variables[back] |
|---|
| 538 | yc = zefile.variables['latitude'] |
|---|
| 539 | xc = zefile.variables['longitude'] |
|---|
| 540 | ## plutot que fieldc = self.getextvar(self.convertlab("topo")) |
|---|
| 541 | |
|---|
| 542 | if isinstance(tabtodo,np.str): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
|---|
| 543 | if isinstance(tabtodo,np.int): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
|---|
| 544 | |
|---|
| 545 | howmanyplots = len(tabtodo) |
|---|
| 546 | if howmanyplots == 1: fig = Figure(figsize=(16,8)) |
|---|
| 547 | elif howmanyplots == 2: fig = Figure(figsize=(8,8)) |
|---|
| 548 | elif howmanyplots == 3: fig = Figure(figsize=(8,16)) |
|---|
| 549 | elif howmanyplots == 4: fig = Figure(figsize=(16,8)) |
|---|
| 550 | |
|---|
| 551 | subv,subh = myplot.definesubplot( len(tabtodo) , fig ) |
|---|
| 552 | |
|---|
| 553 | for i in range(len(tabtodo)): |
|---|
| 554 | yeah = fig.add_subplot(subv,subh,i+1) |
|---|
| 555 | choice = tabtodo[i] |
|---|
| 556 | self.latlon(fixedlt=fixedlt) |
|---|
| 557 | ## a map is implicitely a lat-lon plot. otherwise it is a plot (cf. makeplot2d) |
|---|
| 558 | (field, fieldlab) = self.definefield(choice) |
|---|
| 559 | if incwind: (windx, fieldlabwx) = self.definefield("u") ; (windy, fieldlabwy) = self.definefield("v") |
|---|
| 560 | |
|---|
| 561 | proj="moll" ; colorb="jet" ; ndiv=20 ; zeback="molabw" ; trans=1.0 #0.6 |
|---|
| 562 | title="" ; vecx=None ; vecy=None ; stride=2 |
|---|
| 563 | lon = self.xcoord |
|---|
| 564 | lat = self.ycoord |
|---|
| 565 | |
|---|
| 566 | #[lon2d,lat2d] = np.meshgrid(lon,lat) |
|---|
| 567 | ##### define projection and background. define x and y given the projection |
|---|
| 568 | ##[wlon,wlat] = myplot.latinterv() |
|---|
| 569 | ##yeahm = myplot.define_proj(proj,wlon,wlat,back=zeback,blat=None,blon=None) |
|---|
| 570 | ##x, y = yeahm(lon2d, lat2d) |
|---|
| 571 | #map = Basemap(projection='ortho',lat_0=45,lon_0=-100) |
|---|
| 572 | #x, y = map(lon2d, lat2d) |
|---|
| 573 | |
|---|
| 574 | #### TEMP |
|---|
| 575 | x = lon ; y = lat |
|---|
| 576 | |
|---|
| 577 | ## define field. bound field. |
|---|
| 578 | what_I_plot = np.transpose(field) |
|---|
| 579 | zevmin, zevmax = myplot.calculate_bounds(what_I_plot) ## vmin=min(what_I_plot_frame), vmax=max(what_I_plot_frame)) |
|---|
| 580 | what_I_plot = myplot.bounds(what_I_plot,zevmin,zevmax) |
|---|
| 581 | ## define contour field levels. define color palette |
|---|
| 582 | ticks = ndiv + 1 |
|---|
| 583 | zelevels = np.linspace(zevmin,zevmax,ticks) |
|---|
| 584 | palette = get_cmap(name=colorb) |
|---|
| 585 | |
|---|
| 586 | ## contours topo |
|---|
| 587 | zelevc = np.linspace(-9.,20.,11) |
|---|
| 588 | yeah.contour( xc, yc, fieldc, zelevc, colors='black',linewidths = 0.4) |
|---|
| 589 | # contour field |
|---|
| 590 | c = yeah.contourf( x, y, what_I_plot, zelevels, cmap = palette, alpha = trans ) |
|---|
| 591 | clb = Figure.colorbar(fig,c,orientation='vertical',format="%.2e",ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21]))) |
|---|
| 592 | clb.set_label(fieldlab) |
|---|
| 593 | ax = fig.gca() ; ax.set_ylabel("Latitude") ; ax.set_xlabel("Longitude") |
|---|
| 594 | ax.set_xticks(np.arange(-180,181,45)) ; ax.set_xbound(lower=self.lons, upper=self.lone) |
|---|
| 595 | ax.set_yticks(np.arange(-90,91,30)) ; ax.set_ybound(lower=self.lats, upper=self.late) |
|---|
| 596 | if incwind: |
|---|
| 597 | [x2d,y2d] = np.meshgrid(x,y) |
|---|
| 598 | yeah.quiver(x2d,y2d,np.transpose(windx),np.transpose(windy)) |
|---|
| 599 | self.gettitle() |
|---|
| 600 | fig.text(0.5, 0.95, self.title, ha='center') |
|---|
| 601 | fig.text(0.5, 0.01, self.ack, ha='center') |
|---|
| 602 | canvas = FigureCanvasAgg(fig) |
|---|
| 603 | # The size * the dpi gives the final image size |
|---|
| 604 | # a4"x4" image * 80 dpi ==> 320x320 pixel image |
|---|
| 605 | canvas.print_figure(figname, dpi=80) |
|---|
| 606 | |
|---|
| 607 | def htmlplot2d(self,tabtodo,fixedlt=False,figname="temp.png",title=""): |
|---|
| 608 | ### complete 2D figure with possible multiplots |
|---|
| 609 | ### added in 10/2012 for online MCD |
|---|
| 610 | ### see http://www.dalkescientific.com/writings/diary/archive/2005/04/23/matplotlib_without_gui.html |
|---|
| 611 | from matplotlib.figure import Figure |
|---|
| 612 | from matplotlib.backends.backend_agg import FigureCanvasAgg |
|---|
| 613 | from matplotlib.cm import get_cmap |
|---|
| 614 | if isinstance(tabtodo,np.str): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
|---|
| 615 | if isinstance(tabtodo,np.int): tabtodo=[tabtodo] ## so that asking one element without [] is possible. |
|---|
| 616 | fig = Figure(figsize=(8,8)) ; subv,subh = myplot.definesubplot( len(tabtodo) , fig ) |
|---|
| 617 | |
|---|
| 618 | for i in range(len(tabtodo)): |
|---|
| 619 | yeah = fig.add_subplot(subv,subh,i+1) |
|---|
| 620 | choice = tabtodo[i] |
|---|
| 621 | |
|---|
| 622 | if self.lons is not None: self.lonalt(fixedlt=fixedlt) |
|---|
| 623 | elif self.lats is not None: self.latalt(fixedlt=fixedlt) |
|---|
| 624 | |
|---|
| 625 | (field, fieldlab) = self.definefield(choice) |
|---|
| 626 | |
|---|
| 627 | colorb="jet" ; ndiv=20 ; title="" |
|---|
| 628 | |
|---|
| 629 | ## define field. bound field. |
|---|
| 630 | what_I_plot = np.transpose(field) |
|---|
| 631 | zevmin, zevmax = myplot.calculate_bounds(what_I_plot) ## vmin=min(what_I_plot_frame), vmax=max(what_I_plot_frame)) |
|---|
| 632 | what_I_plot = myplot.bounds(what_I_plot,zevmin,zevmax) |
|---|
| 633 | ## define contour field levels. define color palette |
|---|
| 634 | ticks = ndiv + 1 |
|---|
| 635 | zelevels = np.linspace(zevmin,zevmax,ticks) |
|---|
| 636 | palette = get_cmap(name=colorb) |
|---|
| 637 | # contour field |
|---|
| 638 | c = yeah.contourf( self.xcoord, self.ycoord, what_I_plot, zelevels, cmap = palette ) |
|---|
| 639 | clb = Figure.colorbar(fig,c,orientation='vertical',format="%.2e",ticks=np.linspace(zevmin,zevmax,num=min([ticks/2+1,21]))) |
|---|
| 640 | clb.set_label(fieldlab) |
|---|
| 641 | ax = fig.gca() ; ax.set_ylabel(self.ylabel) ; ax.set_xlabel(self.xlabel) |
|---|
| 642 | if self.zkey == 4: ax.set_yscale('log') ; ax.set_ylim(ax.get_ylim()[::-1]) |
|---|
| 643 | |
|---|
| 644 | #ax.set_xticks(np.arange(-180,181,45)) ; ax.set_xbound(lower=self.lons, upper=self.lone) |
|---|
| 645 | #ax.set_yticks(np.arange(-90,91,30)) ; ax.set_ybound(lower=self.lats, upper=self.late) |
|---|
| 646 | |
|---|
| 647 | self.gettitle() |
|---|
| 648 | fig.text(0.5, 0.95, self.title, ha='center') |
|---|
| 649 | fig.text(0.5, 0.01, self.ack, ha='center') |
|---|
| 650 | canvas = FigureCanvasAgg(fig) |
|---|
| 651 | # The size * the dpi gives the final image size |
|---|
| 652 | # a4"x4" image * 80 dpi ==> 320x320 pixel image |
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| 653 | canvas.print_figure(figname, dpi=80) |
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| 654 | |
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| 655 | |
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| 656 | ### TODO: makeplot2d, plot2d, passer plot settings |
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| 657 | |
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