''' #climdex={} print(year[0], year[1], len(eindex)) ind = 1 # Note 21499 cdd Na for x in range(0, len(lats)): #len(lats[0:253])): for y in range(0, len(lons)): #len(lons[0:191])): o = feature.objects.get(pk=ind) clim = climatecal(year[0], year[1], lats[x], lons[y], str_date) pr = clim.cal_val('pr') tmax = clim.cal_val('tasmax') tmin = clim.cal_val('tasmin') value = {} # res_su value[eindex[0]] = powerpack.su(year[0], year[1], len(pr), str_date, tmax, tmin, pr) # res_fd value[eindex[1]] = powerpack.fd(year[0], year[1], len(pr), str_date, tmax, tmin, pr) # res_id value[eindex[2]] = powerpack.id(year[0], year[1], len(pr), str_date, tmax, tmin, pr) # res_tr value[eindex[3]] = powerpack.tr(year[0], year[1], len(pr), str_date, tmax, tmin, pr) # res_gsl value[eindex[4]] = powerpack.gsl(year[0], year[1], len(pr), str_date, tmax, tmin, pr) # res_wsdi # value[eindex[5]] = powerpack.wsdi(year[0],year[1],len(pr),str_date,tmax,tmin,pr) # res_csdi