ltime = f.variables['time'][:] ltunits = f.variables['time'].units ltime += int(findall(r'\d+', ltunits)[0]) weights = weights[:, logical_and(ltime >= y1, ltime <= y2)] # restrict range else: ltime = years.copy() # restrict to overlapping years yrsinrange = logical_and(years >= min(ltime), years <= max(ltime)) years = years[yrsinrange] t0 = min(years) - y1 + 1 time = arange(t0, t0 + len(years)) # load aggregation mask afile, avar = [a.strip() for a in agg.split(':')] aggloader = AggMaskLoader(afile, avar) adata = aggloader.data()[0] audata = aggloader.udata()[0] aname = aggloader.names()[0] aunits = aggloader.units()[0] alongname = aggloader.longnames()[0] # load growing season file with Dataset(gsfile) as f: pdate = f.variables['planting_day'][:] hdate = f.variables['growing_season_length'][:] # get variables and scenarios variables = [] for i in range(len(files)):
weights = None if weightsf: with nc(weightsf) as f: wlats, wlons = f.variables['lat'][:], f.variables['lon'][:] sellat = logical_and(wlats >= llat - tol, wlats <= ulat + tol) sellon = logical_and(wlons >= llon - tol, wlons <= ulon + tol) wlats, wlons = wlats[sellat], wlons[sellon] if abs(lats - wlats).max() > tol: raise Exception('Latitudes in output file and weights mask do not agree!') if abs(lons - wlons).max() > tol: raise Exception('Longitudes in output file and weights mask do not agree!') weights = f.variables['weights'][sellat][:, sellon] aggloader = AggMaskLoader(aggf, lats = lats, lons = lons) adata = aggloader.data() audata = aggloader.udata() anames = aggloader.names() aunits = aggloader.units() alongnames = aggloader.longnames() alats = aggloader.latitudes() alons = aggloader.longitudes() if abs(lats - alats).max() > tol: raise Exception('Latitudes in output file and aggregation mask do not agree!') if abs(lons - alons).max() > tol: raise Exception('Longitudes in output file and aggregation mask do not agree!') createAggFile(outputf, time, tunits, audata, anames, aunits, alongnames, scensel, leaddim) f = nc(outputf, 'a')