[3823] | 1 | #! /usr/bin/env python |
---|
| 2 | from ppclass import pp |
---|
| 3 | from netCDF4 import Dataset |
---|
| 4 | from numpy import * |
---|
| 5 | import numpy as np |
---|
| 6 | import matplotlib.pyplot as mpl |
---|
| 7 | from matplotlib.cm import get_cmap |
---|
| 8 | import pylab |
---|
| 9 | import matplotlib.colors as mcolors |
---|
| 10 | |
---|
| 11 | ############################ |
---|
| 12 | filename1="diagfi2015_S.nc" |
---|
| 13 | var="ch4_ice" #variable |
---|
| 14 | |
---|
| 15 | xarea1="-180,-179" |
---|
| 16 | xarea2="0,1" |
---|
| 17 | |
---|
| 18 | tint1=["30.625","30.875","31.125","30.375"] #Time must be as written in the input file |
---|
| 19 | tintstr1=["03:00","09:00","15:00","21:00"] #Time must be as written in the input file |
---|
| 20 | |
---|
| 21 | tint2=["30.125","30.375","30.625","30.875"] #Time must be as written in the input file |
---|
| 22 | tintstr2=["03:00","09:00","15:00","21:00"] #Time must be as written in the input file |
---|
| 23 | nc1=Dataset(filename1) |
---|
| 24 | |
---|
| 25 | lat=nc1.variables["lat"][:] |
---|
| 26 | lon=nc1.variables["lon"][:] |
---|
| 27 | alt=nc1.variables["altitude"][:] |
---|
| 28 | print(('alt=',alt)) |
---|
| 29 | ############################ |
---|
| 30 | |
---|
| 31 | def getvar(filename,var,tint,xarea): |
---|
| 32 | myvar = pp(file=filename,var=var,t=tint,x=xarea,compute="nothing").getf() |
---|
| 33 | print((shape(myvar))) |
---|
| 34 | return myvar |
---|
| 35 | |
---|
| 36 | def getfigvar(nbfig,nbrow,nbcol,i): |
---|
| 37 | mpl.subplot(nbrow,nbcol,i+1) |
---|
| 38 | if (i%2==0): |
---|
| 39 | tint=tint1 |
---|
| 40 | tintstr=tintstr1 |
---|
| 41 | xarea=xarea1 |
---|
| 42 | mytitle="Lon: 180E, LT= " |
---|
| 43 | else: |
---|
| 44 | tint=tint2 |
---|
| 45 | tintstr=tintstr2 |
---|
| 46 | xarea=xarea2 |
---|
| 47 | mytitle="Lon: 0E, LT= " |
---|
| 48 | |
---|
| 49 | print(("time numero :",int(i/2),' du fichier tint avec x=',xarea)) |
---|
| 50 | myvar=getvar(filename1,var,tint[int(i/2)],xarea)[0,:,:,0] |
---|
| 51 | myvar=myvar*1.e6 |
---|
| 52 | |
---|
| 53 | # log |
---|
| 54 | norm=mcolors.LogNorm() |
---|
| 55 | lvls=np.logspace(np.log10(mymin),np.log10(mymax),8) |
---|
| 56 | #titi=[1.e-14,1.e-13,1.e-12,1.e-11] |
---|
| 57 | CF=mpl.contourf(lat, alt, myvar,levels=lvls,norm=norm,cmap=pal) |
---|
| 58 | cbar=mpl.colorbar(CF, shrink=1, format="%.2f",extend='both') |
---|
| 59 | cbar.ax.set_title("1E-6 kg/m2",y=1.04,fontsize=font) |
---|
| 60 | |
---|
| 61 | for t in cbar.ax.get_yticklabels(): |
---|
| 62 | t.set_fontsize(font) |
---|
| 63 | |
---|
| 64 | mpl.title(mytitle+str(tintstr[int(i/2)]),fontsize=font) |
---|
| 65 | mpl.ylabel('Altitude (m)',labelpad=10,fontsize=font) |
---|
| 66 | mpl.xlabel('Latitude (deg)',labelpad=10, fontsize=font) |
---|
| 67 | mpl.xticks(xticks,fontsize=font) |
---|
| 68 | #mpl.xticks(fontsize=font) |
---|
| 69 | #mpl.yticks(yticks,fontsize=font) |
---|
| 70 | mpl.yticks(fontsize=font) |
---|
| 71 | pylab.ylim([0,3000]) |
---|
| 72 | |
---|
| 73 | #################" |
---|
| 74 | |
---|
| 75 | nbfig=8 |
---|
| 76 | nbrow=4 |
---|
| 77 | nbcol=2 |
---|
| 78 | |
---|
| 79 | mpl.figure(figsize=(20, 10)) |
---|
| 80 | font=15 |
---|
| 81 | |
---|
| 82 | pal=get_cmap(name="PuBu") |
---|
| 83 | |
---|
| 84 | xticks=[-90,-60,-30,0,30,60,90] |
---|
| 85 | #yticks=np.linspace(0,240,9) |
---|
| 86 | |
---|
| 87 | mymin=0.02 |
---|
| 88 | mymax=100 |
---|
| 89 | |
---|
| 90 | |
---|
| 91 | left = None # the left side of the subplots of the figure |
---|
| 92 | right = None # the right side of the subplots of the figure |
---|
| 93 | bottom = None # the bottom of the subplots of the figure |
---|
| 94 | top = None # the top of the subplots of the figure |
---|
| 95 | wspace = None # the amount of width reserved for blank space between subplots |
---|
| 96 | hspace = 0.7 # the amount of height reserved for white space between subplots |
---|
| 97 | mpl.subplots_adjust(left, bottom, right, top, wspace, hspace) |
---|
| 98 | |
---|
| 99 | for i in range(nbfig): |
---|
| 100 | getfigvar(nbfig,nbrow,nbcol,i) |
---|
| 101 | |
---|
| 102 | |
---|
| 103 | mpl.savefig('sectionch4cloud.eps',dpi=200) |
---|
| 104 | mpl.savefig('sectionch4cloud.png',dpi=200) |
---|
| 105 | |
---|
| 106 | mpl.show() |
---|
| 107 | |
---|
| 108 | |
---|
| 109 | |
---|
| 110 | |
---|