#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Fri Sep  8 14:55:21 EDT 2023
if __name__ == '__main__':
    import sys,os
    from misc.timer import Timer
    tt = Timer(f'[{os.getcwd()}] start ' + ' '.join(sys.argv))
import sys, os.path, os, glob, datetime
import xarray as xr, numpy as np, pandas as pd, matplotlib.pyplot as plt
#more imports
wython = '/tigress/wenchang/wython'
if wython not in sys.path: sys.path.append(wython); print('added to python path:', wython)
#from misc import get_kws_from_argv
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
#ifile = 'precip_AM2.5_amipHadISSTlongChancorr_tigercpu_intelmpi_18_540PE_3ens_1871-2021_atmos_daily.interp.256.68_34.39.nc'
ifile = 'precip_HIRAM_amipHadISSTlongChancorr_tigercpu_intelmpi_18_540PE_extend2019-2021_5ens_1871-2021_atmos_daily.interp.256.68_34.39.nc'
da = xr.open_dataarray(ifile)

model = ifile.split('_')[1]
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    figsize = 8,3
    fig,ax = plt.subplots(figsize=figsize)
    daa = da.groupby('time.year').mean('time')
    for ii in daa.ens.values:
        daa.sel(ens=ii).plot(alpha=0.3, color='C0', lw=1, ax=ax)
    daa.mean('ens').plot(color='C0', ax=ax)

    #ax = plt.gca()
    ax.set_title(f'{model} annual mean precip, {daa.ens.size}ens, lon={360-daa.lon.item()}W, lat={daa.lat.item()}N')
    ax.set_ylabel('mm/day')
    
    #savefig
    if 'savefig' in sys.argv or 's' in sys.argv:
        figname = __file__.replace('.py', f'.png')
        if 'overwritefig' in sys.argv or 'o' in sys.argv:
            wysavefig(figname, overwritefig=True)
        else:
            wysavefig(figname)
    tt.check(f'**Done**')
    print()
    if 'notshowfig' in sys.argv or 'n' in sys.argv:
        pass
    else:
        if 'plt' in globals(): plt.show()