fig_title='') #~ fig_title='', plotmem=sig_membs_ce) #~ pm.plotnorm(f_signal_ce, f_std_ce, o_pad_ce, title_xlabel=u"Standardized Precipitation", #~ title_ylabel="Probability", fig_name=figname_curvace, fig_title='') background = Image.open(figname_curvace) foreground = Image.open("/home/marcelo/FSCT-ECHAM46/FUNCEME_LOGO.png") foreground = foreground.resize((90, 70), Image.ANTIALIAS) background.paste(foreground, (630, 469), foreground) background.save(figname_curvace, optimize=True, quality=95) figout = "{5}/bra_precip_persistida_{1}_{2}-{3}_{4}_{0}_echam46_1dg_cmap_tercilmaisprovavel_median.png".format(n_fcst_month, hind_period_name, target_year, target_months, fcst_year, outdir) figtitle = "ECHAM4.6 - {0}/{1} - {2}/{3}\nPROB PREC (%) ({4})".format(fcst_month.upper(), fcst_year, target_months, target_year, hind_period_name) #~ figtitle = "ECHAM4.6 - OCT/{1} - {2}/{3}\nPROB PREC (%) ({4})".format(fcst_month.upper(), fcst_year, target_months, target_year, hind_period_name) #~ shapefile="/home/marcelo/Anaconda/lib/python2.7/site-packages/PyFuncemeClimateTools-0.1.1-py2.7.egg/PyFuncemeClimateTools/shp/brazil" pm.maptercis(file_out, figtitle, figout) #~ plttercis(file_out, figtitle, figout) background = Image.open(figout) foreground = Image.open("/home/marcelo/FSCT-ECHAM46/FUNCEME_LOGO.png") foreground = foreground.resize((90, 70), Image.ANTIALIAS) background.paste(foreground, (334, 461), foreground) background.save(figout, optimize=True, quality=95) for filename in glob.glob('*.jnl'): shutil.copy(filename, outdir) for filename in glob.glob('*.spk'): shutil.copy(filename, outdir) os.chdir(outdir)