#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Thu May 27 14:57:22 EDT 2021
if __name__ == '__main__':
    from misc.timer import Timer
    tt = Timer(f'start {__file__}')
import sys, os.path, os, glob, datetime
import xarray as xr, numpy as np, pandas as pd, matplotlib.pyplot as plt
#more imports
import xfilter
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
ifile = 'ssttc.histssp585.1850-2100.ens36.nc'
ds = xr.open_dataset(ifile)
da = ds.HU
nwindow = 5
lowpass = lambda x: x.filter.lowpass(1/nwindow, dim='year', padtype='constant')
ci = da.pipe(lowpass).quantile([.025, .975], dim='model')
ensm = da.pipe(lowpass).mean('model')
 
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    fig,ax = plt.subplots()
    ax.fill_between(ci.year, ci.isel(quantile=0), ci.isel(quantile=-1), alpha=0.5, label='0.025-0.975 quantile')    
    ensm.plot(ax=ax, label=f'ensemble mean ({nwindow}-year LP)')
    ax.set_title(f'HU # from CMIP6 historical and ssp585: {ds.model.size} models')
    ax.legend()
    ax.set_xlim(1850,2100)
    ax.grid('on')

    #savefig
    if 'savefig' in sys.argv:
        figname = __file__.replace('.py', f'.png')
        wysavefig(figname)
    tt.check(f'**Done**')
    plt.show()